applied data scientist

Oracle

<div><p>About the job
</p><p><b>Location: </b>Bangalore
<br>
<b>Career Level: </b>IC3
</p><p>Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our <b>AI Science team </b>pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale.
</p><p>We&rsquo;re looking for an experienced <b>Sr. Applied Science (IC3) </b>with deep hand-on experience in <b>Generative AI and Computer Vision </b>area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies.
</p><p>As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale.<br>
</p><p></p><p>is perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services.
</p><p><b>Key Responsibilities
</b></p><ul><li>Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models.
</li><li>Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective.
</li><li>Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance.
</li><li>Analysis of ML models, and optimizing models for accuracy and latency.
</li><li>Large-scale training &amp; production deployment with ML models.
</li><li>Own data analysis, feature engineering, technique selection &amp; implementation, debugging, and maintenance of production model.
</li><li>Experience implementing machine learning algorithms or research papers from scratch to production.
</li><li>Work with large, complex data sets.
</li><li>Proactively identify the technical issues/bugs and provide innovative solutions.
</li><li>File patent and publication as by product of solving complex business problems
</li><li>Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required.
</li><li>Leverage Oracle Cloud technology.
</li></ul><p><b>Preferred Qualifications
</b></p><p><b>Ph.D. </b>(preferred) or Master&rsquo;s in Computer Science, Machine Learning, Computer Vision, or related field.
</p><ul><li>PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments
</li></ul><p>Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification.
</p><p>Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models.
</p><ul><li>Expert in at least one high level language such as Python/Java/C++
</li><li>Practical experience in ML algorithm design, model training and production deployment using microservices architecture
</li><li>Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology.
</li><li>Experience or willingness to learn and work in Agile and iterative development processes.
</li><li>Strong drive to learn and master new technologies and techniques.
</li><li>Deep understanding of data structures, algorithms, and excellent problem-solving skills.
</li><li>You enjoy a fast-paced work environment.</li></ul></div>
<br><div><p>Identify data science use cases and design scalable solutions that can be built as a feature of the product/service. Contributes to writing production model code. Work with Software Engineering teams to deploy them in production. Set up environment needed to run experiments for all projects. Set up distributed environments. Design and implement algorithms, train models, and deploy both to production to validate premises and achieve goals. Design and execute offline/online experiments and model performance testing. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Address business/customer problems and questions using statistical and machine learning techniques to achieve business goals and KPI's. Come up with innovative solutions to address tradeoffs or challenges faced by team. Stay up-to date with research and trends regarding latest algorithms in ML or other industry/domain space. Perform research in emerging areas, which may include efficient neural network development including quantization, pruning, compression and neural architecture search, as well as novel differentiable compute primitives. May perform other duties as assigned.</p></div>

Senior Applied & Data Scientist

Altak Group

<p><b>Job description:</b></p><p>Altak Group is building a next-generation AI solutions team to design, develop, and ship innovative products at speed. We are seeking an ML Engineer / Data Scientist who combines strong technical expertise with a product-focused mindset. This is a chance to join a newly established AI department driving rapid development of AI-powered solutions across diverse domains&mdash;including recruitment platforms, consumer apps, and enterprise tools.</p><p><b>Responsibilities:</b></p><p>Design, build, and deploy end-to-end AI/ML solutions from experimentation to production.</p><p>Work with LLMs, neural networks, RAG pipelines, agentic AI frameworks, and advanced data pipelines.</p><p>Collaborate with product and engineering teams to rapidly prototype and ship multiple AI-driven products per month.</p><p>Optimize model performance, scalability, and cost efficiency for real-world applications.</p><p>Provide production support for deployed solutions and continuously enhance performance.</p><p>Stay on the cutting edge of new AI frameworks, tools, and techniques&mdash;leveraging them to accelerate delivery.</p><p><b>Qualifications:</b></p><p>4+ years of hands-on experience in ML engineering or applied data science.</p><p>Proven experience with large language models (LLMs), neural networks, retrieval-augmented generation (RAG), and agent-based AI systems.</p><p>Strong skills in data pipeline design, ETL, and orchestration.</p><p>Expertise in Python, PyTorch/TensorFlow, and familiarity with modern AI development stacks (LangChain, Hugging Face, vector databases, etc.).</p><p>Experience deploying AI solutions in production environments (AWS, Azure, or GCP).</p><p>Strong problem-solving and can-do attitude, with the ability to work in a fast-paced, iterative environment.</p><p>Bonus: Experience contributing to multiple shipped AI products in a short time cycle.</p><p><b>What we offer:</b></p><p>Opportunity to shape a brand-new AI department building diverse, high-impact solutions.</p><p>Collaborative environment with a fast-build, fast-ship culture.</p><p>Exposure to cutting-edge AI tools and next-gen product development practices.</p><p>Competitive salary and growth opportunities.</p><p>Job Type: Full-time</p><p>Pay: From Rs100,000.00 per month</p><p>Work Location: Remote</p>

Data Scientist

Target

<div>The pay range is $95,000.00 - $171,000.00<p></p><p>
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.</p><p></p><p><b>
JOIN US AS A SENIOR DATA SCIENTIST &ndash; STORE AND PROPERTIES
</b></p><p></p><p><b>About us:</b></p><p>
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.</p><p></p><p>
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you&rsquo;ll be challenged to harness Target&rsquo;s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.</p><p></p><p>
Every Scientist on Target&rsquo;s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, to elevate Target&rsquo;s culture, and apply retail domain knowledge.</p><p><b><br>
Pyramid Overview:</b></p><p>
A role with Target Data Science &amp; Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you&rsquo;ll be challenged to harness Target&rsquo;s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.</p><p><b><br>
Team Overview:</b><br>
The Stores and Properties Data Science team supports many different initiatives from payroll forecasting, optimization for stores fulfillment planning, work that influences sustainable energy solutions in stores, and simulation for operations to just to name a few. Come join a collaborative team working on exciting solutions for our stores and properties partners.</p><p><b><br>
Position Overview:</b></p><p>
As a Sr Data Scientist, you will collaborate with Product, Tech, and business partners to solve retail challenges at scale within our stores. You will design, develop, deploy, and maintain data science models and tools. You&rsquo;ll work closely with applied data scientists, data analysts, and business partners to continuously learn and address evolving business needs. You&rsquo;ll also collaborate with engineers and data scientists on peer teams to build and stores solutions.</p><p></p><ul><li>
Develop a strong understanding of business and operational processes within Target&rsquo;s Stores.</li><li>
Gain an in-depth understanding of systems and processes influencing stores&rsquo; efficiency.</li><li>
Analyze large datasets to derive insights for business process improvements and solution development.</li><li>
Develop forecasting models, mathematical models (probabilistic/deterministic models), and implement them in real-world production systems with measurable impact.</li><li>
Collaborate with the team to build and maintain complex software systems and tools.</li><li>
Coordinate the analysis, troubleshooting, and resolution of issues in models and software.<br>
Partner with cross functional teams to deliver on business objectives</li><li>
Provide financial insight and guidance to business partners and leadership</li><li>
Drive efficiencies across analytics and reporting processes using automation</li><li>
Deliver meaningful insights to business teams, partners and stakeholders that support meaningful decisions.</li></ul><p></p><p>
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.</p><p></p><p><b>
About You:</b></p><ul><li>
MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or equivalent work experience</li><li>
3 plus years of professional experience in applying Machine Learning models to solve complex problems in Retail or related domains</li><li>
Demonstrated programming experience in Python, R, SQL or Scala and the ability to learn and apply new languages and test-driven development</li><li>
Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches</li><li>
Experience cleaning, transforming, and analyzing large datasets for insights leading to business improvements.</li><li>
Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices.</li><li>
Extensive knowledge of mathematical and statistical concepts, forecasting, data structures, algorithms, data analysis, and visualizations applied to business problems</li><li>
Experience deploying solutions in ML Ops with large-scale business impacts</li><li>
Self-driven and results-oriented, with the ability to meet tight timelines</li><li>
Strong team player with the ability to collaborate across geographies/time zones</li><li>
Excellent written and verbal communication skills</li><li>
Forecasting experience desired</li></ul><p></p><p>
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target&rsquo;s needs. A Hybrid/Flex for Your Day work arrangement means the team member&rsquo;s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.</p><p></p><p><b>
Benefits Eligibility</b></p>
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D<p></p><p><b>
Americans with Disabilities Act (ADA)</b></p><p></p><p>
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.</p><p></p>
Application deadline is : 11/30/2025</div>

Sr Data Scientist - Stores and Properties (applied ML, forecasting)

Henkel

<div>
 <strong>
  About this Position
 </strong>
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 <br/>
 <br/>
 <strong>
  What You&acute;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
  </li>
  <li>
   Delivers data science products from idea to deployment
  </li>
  <li>
   Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
  </li>
  <li>
   Develop processes and tools to monitor and analyze model performance and data accuracy
  </li>
  <li>
   Acts as data science ambassador across business units and functions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What makes you a good fit
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
  </li>
  <li>
   3-5 years of relevant work experience
  </li>
  <li>
   Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
  </li>
  <li>
   Business acumen and ability to work closely with non-technical teams
  </li>
  <li>
   High confidence in verbal and written communication.
  </li>
  <li>
   Experience using statistical computer languages (Python and SQL knowledge is a must)
  </li>
  <li>
   Experience analyzing data from 3rd party providers is preferable
  </li>
  <li>
   Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Some perks of joining Henkel
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
  </li>
  <li>
   Diverse national and international growth opportunities
  </li>
  <li>
   Globally wellbeing standards with health and preventive care programs
  </li>
  <li>
   Gender-neutral parental leave for a minimum of 8 weeks
  </li>
  <li>
   Employee Share Plan with voluntary investment and Henkel matching shares
  </li>
  <li>
   Comprehensive Health Insurance for employee + dependents
  </li>
  <li>
   Employee Assistance Program provides a wide range of mental health and wellbeing benefits
   <br/>
   <br/>
  </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>


Goldman Sachs

<div><div><div><div><div><div><div><p>WHO WE ARE<br>
Goldman Sachs is a leading global investment banking, securities and investment management firm that provides a wide range of services worldwide to a substantial and diversified client base that includes corporations, financial institutions, governments and high net-worth individuals.<br>
Founded in 1869, it is one of the oldest and largest investment banking firms. The firm is headquartered in New York and maintains offices in London, Bangalore, Frankfurt, Tokyo, Hong Kong and other major financial centres around the world.<br>
We are committed to growing our distinctive Culture and holding to our core values which always place our client's interests first. These values are reflected in our Business Principles, which emphasise integrity, commitment to excellence, innovation and teamwork.</p><p><br>
BUSINESS UNIT OVERVIEW<br>
Enterprise Technology Operations (ETO) is a Business Unit within Core Engineering focused on running scalable production management services with a mandate of operational excellence and operational risk reduction achieved through large scale automation, best-in-class engineering, and application of data science and machine learning. The Production Runtime Experience (PRX) team in ETO applies software engineering and machine learning to production management services, processes, and activities to streamline monitoring, alerting, automation, and workflows.</p><p><br>
TEAM OVERVIEW<br>
The Machine Learning and Artificial Intelligence team in PRX applies advanced ML and GenAI to reduce the risk and cost of operating the firm&acirc;&#128;&#153;s large-scale compute infrastructure and extensive application estate. Building on strengths in statistical modelling, anomaly detection, predictive modelling, and time-series forecasting, we leverage foundational LLM Models to orchestrate multi-agent systems for automated production management services. By unifying classical ML with agentic AI, we deliver reliable, explainable, and cost-efficient operations at scale.</p><p><br>
ROLE AND RESPONSIBILITIES<br>
In this role, you will be responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large-scale production environments with varying complexities. You will address various production runtime challenges by developing agentic AI solutions that can diagnose, reason, and take actions in production environments to improve productivity and address issues related to production support.<br>
What you&acirc;&#128;&#153;ll do:<br>
&acirc;&#128;&cent; Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails for safety, compliance, and least-privilege access.<br>
&acirc;&#128;&cent; Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations</p>
<p>
&acirc;&#128;&cent; Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability.<br>
&acirc;&#128;&cent; Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business-aligned outcomes.<br>
&acirc;&#128;&cent; Safety, reliability, and governance: Build validator models, adversarial prompts, and policy checks into the stack; enforce deterministic fallbacks, circuit breakers, and rollback strategies; instrument continuous evaluations for usefulness, correctness, and risk.<br>
&acirc;&#128;&cent; Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load.<br>
&acirc;&#128;&cent; Build a RAG pipeline: Curate domain-knowledge; build data-quality validation framework; establish feedback loops and milestone framework maintain knowledge freshness.<br>
&acirc;&#128;&cent; Raise the bar: Drive design reviews, experiment rigor, and high-quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns.<br>
<br>
QUALIFICATIONS<br>
A Bachelor&acirc;&#128;&#153;s degree (Masters/ PhD preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline), with 5+ years of experience as an applied data scientist / machine learning engineer.</p><p><br>
ESSENTIAL SKILLS<br>
&acirc;&#128;&cent; 5+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred.<br>
&acirc;&#128;&cent; 3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows.<br>
&acirc;&#128;&cent; Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution).<br>
&acirc;&#128;&cent; Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).<br>
&acirc;&#128;&cent; Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions.<br>
&acirc;&#128;&cent; Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.<br>
&acirc;&#128;&cent; Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation).</p><br>
<p></p>
<p>
YOUR CAREER</p>
<p>
Goldman Sachs is a meritocracy where you will be given all the tools to advance your career. At Goldman Sachs, you will have access to excellent training programmes designed to improve multiple facets of your skill portfolio. Our in-house training programme, &acirc;&#128;&#156;Goldman Sachs University&acirc;&#128;&#157; offers a comprehensive series of courses that you will have access to as your career progresses. Goldman Sachs University has an impressive catalogue of courses which span technical, business and leadership skills.</p><br>
<p></p>
<div>
ABOUT GOLDMAN SACHS
</div><div>At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
</div><div>We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at GS.com/careers.
</div><div>We&acirc;&#128;&#153;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. : https://www.goldmansachs.com/careers/footer/disability-statement.html</div><br>
<div>
<br>
</div><div>&Acirc;&copy; The Goldman Sachs Group, Inc., 2023. All rights reserved.
</div><div>Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
</div></div></div></div></div></div></div><div><div><div><div><div><b>We Offer Best-In-Class Benefits</b></div></div></div><p></p><div><div><div><div><div><div><div>
Healthcare &amp; Medical Insurance</div></div><p>
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Holiday &amp; Vacation Policies</div></div><p>
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Financial Wellness &amp; Retirement</div></div><p>
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Health Services</div></div><p>
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Fitness</div></div><p>
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</p></div></div></div></div><p></p><div><div><div><div><div><div>
Child Care &amp; Family Care</div></div><p>
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Benefits at Goldman Sachs</div></div><p>
Read more about the full suite of class-leading benefits our firm has to offer.</p></div></div></div></div></div></div></div></div><div></div>
<br><p>Opportunity Overview
CORPORATE TITLE
Associate
OFFICE LOCATION(S)
Bengaluru
JOB FUNCTION
Software Engineering
DIVISION
Engineering Division</p>

Engineering-L2-Bengaluru-Associate-AI / ML Engineering

<div><div><div><div><div><div><div><p>WHO WE ARE<br>
Goldman Sachs is a leading global investment banking, securities and investment management firm that provides a wide range of services worldwide to a substantial and diversified client base that includes corporations, financial institutions, governments and high net-worth individuals.<br>
Founded in 1869, it is one of the oldest and largest investment banking firms. The firm is headquartered in New York and maintains offices in London, Bangalore, Frankfurt, Tokyo, Hong Kong and other major financial centres around the world.<br>
We are committed to growing our distinctive Culture and holding to our core values which always place our client's interests first. These values are reflected in our Business Principles, which emphasise integrity, commitment to excellence, innovation and teamwork.</p><p><br>
BUSINESS UNIT OVERVIEW<br>
Enterprise Technology Operations (ETO) is a Business Unit within Core Engineering focused on running scalable production management services with a mandate of operational excellence and operational risk reduction achieved through large scale automation, best-in-class engineering, and application of data science and machine learning. The Production Runtime Experience (PRX) team in ETO applies software engineering and machine learning to production management services, processes, and activities to streamline monitoring, alerting, automation, and workflows.</p><p><br>
TEAM OVERVIEW<br>
The Machine Learning and Artificial Intelligence team in PRX applies advanced ML and GenAI to reduce the risk and cost of operating the firm&acirc;&#128;&#153;s large-scale compute infrastructure and extensive application estate. Building on strengths in statistical modelling, anomaly detection, predictive modelling, and time-series forecasting, we leverage foundational LLM Models to orchestrate multi-agent systems for automated production management services. By unifying classical ML with agentic AI, we deliver reliable, explainable, and cost-efficient operations at scale.</p><p><br>
ROLE AND RESPONSIBILITIES<br>
In this role, you will be responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large-scale production environments with varying complexities. You will address various production runtime challenges by developing agentic AI solutions that can diagnose, reason, and take actions in production environments to improve productivity and address issues related to production support.<br>
What you&acirc;&#128;&#153;ll do:<br>
&acirc;&#128;&cent; Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails for safety, compliance, and least-privilege access.<br>
&acirc;&#128;&cent; Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations</p>
<p>
&acirc;&#128;&cent; Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability.<br>
&acirc;&#128;&cent; Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business-aligned outcomes.<br>
&acirc;&#128;&cent; Safety, reliability, and governance: Build validator models, adversarial prompts, and policy checks into the stack; enforce deterministic fallbacks, circuit breakers, and rollback strategies; instrument continuous evaluations for usefulness, correctness, and risk.<br>
&acirc;&#128;&cent; Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load.<br>
&acirc;&#128;&cent; Build a RAG pipeline: Curate domain-knowledge; build data-quality validation framework; establish feedback loops and milestone framework maintain knowledge freshness.<br>
&acirc;&#128;&cent; Raise the bar: Drive design reviews, experiment rigor, and high-quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns.<br>
<br>
QUALIFICATIONS<br>
A Bachelor&acirc;&#128;&#153;s degree (Masters/ PhD preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline), with 5+ years of experience as an applied data scientist / machine learning engineer.</p><p><br>
ESSENTIAL SKILLS<br>
&acirc;&#128;&cent; 2+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred.<br>
&acirc;&#128;&cent; 1+ years building production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows.<br>
&acirc;&#128;&cent; Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution).<br>
&acirc;&#128;&cent; Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).<br>
&acirc;&#128;&cent; Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions.<br>
&acirc;&#128;&cent; Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.<br>
&acirc;&#128;&cent; Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation).</p><br>
<p></p>
<p>
YOUR CAREER</p>
<p>
Goldman Sachs is a meritocracy where you will be given all the tools to advance your career. At Goldman Sachs, you will have access to excellent training programmes designed to improve multiple facets of your skill portfolio. Our in-house training programme, &acirc;&#128;&#156;Goldman Sachs University&acirc;&#128;&#157; offers a comprehensive series of courses that you will have access to as your career progresses. Goldman Sachs University has an impressive catalogue of courses which span technical, business and leadership skills.</p><br>
<p></p>
<div>
ABOUT GOLDMAN SACHS
</div><div>At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
</div><div>We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at GS.com/careers.
</div><div>We&acirc;&#128;&#153;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. : https://www.goldmansachs.com/careers/footer/disability-statement.html</div><br>
<div>
<br>
</div><div>&Acirc;&copy; The Goldman Sachs Group, Inc., 2023. All rights reserved.
</div><div>Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
</div></div></div></div></div></div></div><div><div><div><div><div><b>We Offer Best-In-Class Benefits</b></div></div></div><p></p><div><div><div><div><div><div><div>
Healthcare &amp; Medical Insurance</div></div><p>
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Holiday &amp; Vacation Policies</div></div><p>
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Financial Wellness &amp; Retirement</div></div><p>
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Health Services</div></div><p>
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Fitness</div></div><p>
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</p></div></div></div></div><p></p><div><div><div><div><div><div>
Child Care &amp; Family Care</div></div><p>
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Benefits at Goldman Sachs</div></div><p>
Read more about the full suite of class-leading benefits our firm has to offer.</p></div></div></div></div></div></div></div></div><div></div>
<br><p>Opportunity Overview
CORPORATE TITLE
Analyst
OFFICE LOCATION(S)
Bengaluru
JOB FUNCTION
Software Engineering
DIVISION
Engineering Division</p>

Engineering-L2-Bengaluru-Analyst-Software Engineering

<div><div><div><div><div><div><div><div>What We Do
</div><div>At Goldman Sachs, our Engineers don&rsquo;t just make things &ndash; we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.</div><br>
<div>
<br>
</div><div>Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.</div><br>
<div>
<br>
</div><div>Who We Look For
</div><div>Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.
</div>
<div><br>
BUSINESS UNIT OVERVIEW
</div><div>Enterprise Technology Operations (ETO) is a Business Unit within Core Engineering focused on running scalable production management services with a mandate of operational excellence and operational risk reduction achieved through large scale automation, best-in-class engineering, and application of data science and machine learning. The Production Runtime Experience (PRX) team in ETO applies software engineering and machine learning to production management services, processes, and activities to streamline monitoring, alerting, automation, and workflows.
</div>
<div></div><div>TEAM OVERVIEW
</div><div>The Machine Learning and Artificial Intelligence team in PRX applies advanced ML and GenAI to reduce the risk and cost of operating the firm&rsquo;s large-scale compute infrastructure and extensive application estate. Building on strengths in statistical modelling, anomaly detection, predictive modelling, and time-series forecasting, we leverage foundational LLM Models to orchestrate multi-agent systems for automated production management services. By unifying classical ML with agentic AI, we deliver reliable, explainable, and cost-efficient operations at scale.
</div>
<div></div><div>ROLE AND RESPONSIBILITIES
</div><div>In this role, you will be responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large-scale production environments with varying complexities. You will address various production runtime challenges by developing agentic AI solutions that can diagnose, reason, and take actions in production environments to improve productivity and address issues related to production support.
</div>
<div></div><div>What you&rsquo;ll do:
</div><ul><li>Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails for safety, compliance, and least-privilege access.
</li></ul><ul><li>Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations.
</li></ul><ul><li>Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability.
</li></ul><ul><li>Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business-aligned outcomes.
</li></ul><ul><li>Safety, reliability, and governance: Build validator models, adversarial prompts, and policy checks into the stack; enforce deterministic fallbacks, circuit breakers, and rollback strategies; instrument continuous evaluations for usefulness, correctness, and risk.
</li></ul><ul><li>Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load.
</li></ul><ul><li>Build a RAG pipeline: Curate domain-knowledge; build data-quality validation framework; establish feedback loops and milestone framework maintain knowledge freshness.
</li></ul><ul><li>Raise the bar: Drive design reviews, experiment rigor, and high-quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns. .
</li></ul>
<div></div><div>QUALIFICATIONS
</div><div>A Bachelor&rsquo;s degree (Masters/ PhD preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline), with 5+ years of experience as an applied data scientist / machine learning engineer.
</div>
<div></div><div>ESSENTIAL SKILLS
</div><ul><li>5+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred.
</li></ul><ul><li>3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows.
</li></ul><ul><li>Practical experience with Large Language Models (LLMs): API integration, prompt engineering, finetuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution).
</li></ul><ul><li>Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).
</li></ul><ul><li>Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions.
</li></ul><ul><li>Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.
</li></ul>
<div></div><ul><li>Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation).
</li></ul>
<div></div><div>ABOUT GOLDMAN SACHS</div><br>
<div>
<br>
</div><div>At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.</div><br>
<div>
<br>
</div><div>We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at GS.com/careers.</div><br>
<div>
<br>
</div><div>We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. : https://www.goldmansachs.com/careers/footer/disability-statement.html</div><div><br>
<br>
</div><div></div><br>
<div>&copy; The Goldman Sachs Group, Inc., 2023. All rights reserved.
</div><div>Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.</div><br>
<div>
<br>
</div></div></div></div></div></div></div><div><div><div><div><div><b>We Offer Best-In-Class Benefits</b></div></div></div><p></p><div><div><div><div><div><div><div>
Healthcare &amp; Medical Insurance</div></div><p>
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Holiday &amp; Vacation Policies</div></div><p>
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Financial Wellness &amp; Retirement</div></div><p>
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Health Services</div></div><p>
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Fitness</div></div><p>
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</p></div></div></div></div><p></p><div><div><div><div><div><div>
Child Care &amp; Family Care</div></div><p>
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Benefits at Goldman Sachs</div></div><p>
Read more about the full suite of class-leading benefits our firm has to offer.</p></div></div></div></div></div></div></div></div><div></div>
<br><p>Opportunity Overview
CORPORATE TITLE
Associate
OFFICE LOCATION(S)
Bengaluru
DIVISION
Engineering Division</p>

Core Engineering - ETO - Machine Learning Engineer - Associate/VP - Bengaluru

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