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associate software dev engineer Jobs in Mangaluru

associate software dev engineer

applied scientist 5

Oracle

<div>
 
 Job Description
 
 
 
 Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.
 
 
 
 Responsibilities
 
 
 
 Drives and plans implementation of company policy for achieving business goals. Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering. Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. May perform other duties as assigned.
 
 
 
 Qualifications
 
 
 
 Career Level - IC5
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Applied Scientist - 5

Microsoft

<div>
 Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft&rsquo;s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers&rsquo; heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.
 
 
 The Defender Experts (DEX) Research team is at the forefront of Microsoft&rsquo;s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left&mdash;disrupting threats early, before damage occurs&mdash;by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We&rsquo;re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX&rsquo;s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter&mdash;with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions.
 </li>
 <li>
 Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships.
 </li>
 <li>
 Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response.
 </li>
 <li>
 Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development.
 </li>
 <li>
 Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment.
 </li>
 <li>
 Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models.
 </li>
 <li>
 Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response.
 </li>
 <li>
 Collaborate closely with engineering and product teams to integrate solutions into production platforms.
 </li>
 <li>
 Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field
 </li>
 <li>
 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection
 </li>
 <li>
 Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn)
 </li>
 <li>
 Strong foundation in statistics, probability, and applied machine learning techniques
 </li>
 <li>
 Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams
 </li>
 <li>
 Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Senior Applied & Data scientist

Ericsson

<div>
 
 Join our Team
 
 
 
 
 About this opportunity:
 
 
 
 Welcome to an exciting opportunity at Ericsson, where you'll be stepping into the role of a Data Scientist. As part of our team, you'll have the opportunity to develop unique machine learning solutions that address complex business issues. You'll employ scientific methods, processes, and systems to reveal valuable insights and pave the way for the future of applied analytics. Direct your prowess in machine learning towards formulating innovative AI/ML solutions that are consistent with Ericsson's architectural and coding standards.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Implement technical requirements by analyzing and optimizing their needs while managing any constraints effectively.
 </li>
 <li>
 Build predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems.
 </li>
 <li>
 Proficiency in machine learning concepts and programming languages such as Python, Pyspark, SQL, amongst others.
 </li>
 <li>
 Develop solutions using on-premise and cloud-based machine learning.
 </li>
 <li>
 Collaborate with business leaders and decision-making personnel to define success metrics and originate ML solutions that fit the bill.
 </li>
 <li>
 Mentor emerging data scientists and foster a community of machine learning enthusiasts within Ericsson.
 
 
 </li>
 </ul>
 
 The skills you bring:
 
 
 
 <ul>
 <li>
 DevSecOps.
 </li>
 <li>
 Business Understanding.
 </li>
 <li>
 Artificial Intelligence Systems.
 </li>
 <li>
 Software Engineering.
 </li>
 <li>
 Data Management.
 </li>
 <li>
 Ericsson Business Intelligence and Analytics Competence.
 </li>
 <li>
 Open-Source Programming Languages.
 </li>
 <li>
 Data Preprocessing.
 </li>
 <li>
 Statistics.
 </li>
 <li>
 Cloud Development.
 </li>
 <li>
 Machine Learning Algorithms.
 
 
 </li>
 </ul>
 
 Why join Ericsson?
 
 
 
 At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
 
 
 
 What happens once you apply?
 
 
 
 Click Here to find all you need to know about what our typical hiring process looks like.
 
 
 Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
 
 
 
 Primary country and city:
 
 India (IN) || Bangalore
 
 
 
 Req ID:
 
 769882
</div>

Data Scientist

Moniepoint Group

<div>
 Moniepoint is Africa's all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. In 2023, we processed $182 billion and are Nigeria&rsquo;s largest merchant acquirer.
 
 
 
 Your Opportunity and Mission
 
 
 
 We are looking for talented and passionate Data Scientist to join the Growth team. Data science and optimization are key drivers for Moniepoint&rsquo;s business growth and the Data Scientist joining will have the opportunity to build and own the most important models starting from our attribution and Marketing Mix Models
 
 
 <ul>
 <li>
 Contribute the following areas: channel attribution modeling, mCAC per channel modeling, LTV prediction, Marketing Mix Modeling and multichannel attribution and testing
 </li>
 <li>
 Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency
 </li>
 <li>
 Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models
 </li>
 <li>
 Design experiments and interpret the results to draw detailed and actionable conclusions
 </li>
 <li>
 Work in cross-functional teams across disciplines such as product, engineering and business.
 
 
 </li>
 </ul>
 
 You Have...
 
 
 
 <ul>
 <li>
 +5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies. FMCG or Fintech preferred.
 </li>
 <li>
 Holds at least an MSc, and preferably a PhD in a scientific discipline such as Physics, Statistics, Engineering, Computer Science or Mathematics
 </li>
 <li>
 Deep theoretical and applied knowledge in the following areas: statistical inference, bayesian statistics, causal inference, time series analysis and mathematical optimisation.
 </li>
 <li>
 Extensive experience at least in Multichannel Attribution Modeling and Marketing Mix Modeling
 </li>
 <li>
 Extensive experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, XGBoost, Jupyter/iPython notebooks and well-known modeling packages such as PyMC3
 </li>
 <li>
 Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes excellent data modeling and SQL skills, and familiarity with Cloud infrastructure.
 </li>
 <li>
 Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.)
 </li>
 <li>
 Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights
 </li>
 <li>
 Excellent spoken and written English
 
 
 </li>
 </ul>
 
 What Moniepoint Can Offer You
 
 
 
 <ul>
 <li>
 The opportunity to drive financial inclusion and shape the future of the African financial ecosystem
 </li>
 <li>
 The chance to work on innovative and impactful projects
 </li>
 <li>
 A dynamic, diverse, and collaborative environment where every team member&rsquo;s voice is recognized and valued
 </li>
 <li>
 Flexible work arrangements
 </li>
 <li>
 Continuous learning and career growth opportunities
 </li>
 <li>
 Competitive salary, individual performance bonuses, and firmwide performance bonus
 </li>
 <li>
 Company covered health insurance plans
 </li>
 <li>
 Pension plans
 
 
 </li>
 </ul>
 
 What To Expect In The Hiring Process
 
 
 
 <ul>
 <li>
 A preliminary phone call with one of our recruiters
 </li>
 <li>
 A general interview with the Senior Manager of Marketing Strategy
 </li>
 <li>
 A case study-based discussion with SVP of Marketing
 </li>
 <li>
 A behavioural interview with members of the Executive team
 
 
 </li>
 </ul>
 Moniepoint is an equal-opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates.
</div>

Growth Data Scientist

Syngenta

<div>
 
 Company Description
 
 
 
 Syngenta Seeds is one of the world&rsquo;s largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs.
 
 
 Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions.
 
 
 Syngenta Seeds is headquartered in the United States.
 
 
 
 Job Description
 
 
 
 
 Role purpose
 
 
 
 The DH optimization scientist role focuses on enhancing the efficiency, quality and scalability of Corn DH line production. Key responsibilities include implementing process improvements, optimizing protocols, scaling new technologies and collaborating with breeding teams.
 
 
 
 Accountabilities
 
 
 
 <ul>
 <li>
 Optimize DH protocols and processes to improve efficiency and quality.
 </li>
 <li>
 Implement innovative technologies and automation for scalable DH operations.
 </li>
 <li>
 Ensuring timely delivery of high-quality DH lines aligned with breeding needs.
 </li>
 <li>
 Monitor KPIs and drive continuous improvement across DH operations.
 </li>
 <li>
 Maintain compliance with HSE, quality, and operational excellence standards.
 </li>
 <li>
 Critical success factors &amp; key challenges
 
 
 </li>
 </ul>
 
 Critical Success Factors
 
 
 
 <ul>
 <li>
 Strong collaboration with breeding and operations teams.
 </li>
 <li>
 Data-driven approach to decision-making and optimization.
 </li>
 <li>
 Agility in adopting and scaling new technologies.
 </li>
 <li>
 Commitment to quality, HSE, and operational excellence.
 </li>
 <li>
 Key Challenges
 </li>
 <li>
 Balancing innovation with operational scalability.
 </li>
 <li>
 Managing variability across environments.
 </li>
 <li>
 Meeting tight timelines for DH line delivery.
 </li>
 <li>
 Driving adoption of new practices across diverse teams.
 </li>
 <li>
 Knowledge, experience &amp; capabilities
 
 
 </li>
 </ul>
 Critical knowledge
 
 
 <ul>
 <li>
 MSc/PhD in Plant Breeding, Biotechnology, Genetics, or related field.
 </li>
 <li>
 Expertise in doubled haploid technologies and breeding processes.
 </li>
 <li>
 Experience in process optimization and technology implementation.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 5+ years demonstrable applied experience in implementation of Operations or lab functions
 </li>
 <li>
 A proven track record on working in a science-based environment
 </li>
 <li>
 Critical technical, professional, and personal capabilities
 </li>
 <li>
 Ability to work in teams and across geographies
 </li>
 <li>
 Problem-solving skills
 </li>
 <li>
 Some experience in data visualization with Tableau, Power BI, or similar
 </li>
 <li>
 Strong written and oral English communication skills
 </li>
 <li>
 Analytical Mind-set
 </li>
 </ul>
</div>

DH Optimization Scientist - Tropics

IndiaBioscience

<div>
 
 Profile
 
 
 
 Jivanu Therapeutics Pvt. Ltd is looking for an accomplished and highly motivated Research Scientist to join our R&amp;D team in Bengaluru, Karnataka. This role offers a unique opportunity to contribute to cutting-edge biotechnology research in a rapidly growing and innovation-driven microbiome-based organization.
 
 
 The ideal candidate will have a strong scientific background, hands-on research experience in a biotech or life sciences domain, expertise in the field of microbiome, and a track record of impactful contributions from premier global institutions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement impactful projects focused on developing microbiome-based products through the creation of novel biotherapeutic bacterial strains and defined consortia.
 </li>
 <li>
 Engage in strain engineering (vector cloning, knockout, knock-in, etc.) and develop in vitro microbiological, biochemical, and biophysical assays to assess the expression and efficacy of the engineered bacteria. Experience with handling anaerobic organisms is strongly preferred.
 </li>
 <li>
 Promote innovation by genetically modifying organisms that are traditionally challenging, which may require novel strategy adoption and lengthy optimization processes.
 </li>
 <li>
 Expected to work on multiple related projects in a startup environment and conceive new ideas.
 </li>
 <li>
 Effectively contribute as a member of a small, multi-functional team by taking initiative and accountability for assigned projects, emphasizing troubleshooting and ensuring timely delivery.
 </li>
 <li>
 Active collaboration with various teams across different domains of expertise, such as bioinformatics, in vivo efficacy, product formulation, etc., is essential.
 </li>
 <li>
 Contribute scientifically by assisting in the preparation of grants, presentations, papers, and patent applications.
 
 
 </li>
 </ul>
 
 Qualification
 
 
 
 Ph.D. in Microbiology, Biotechnology, Molecular Biology, Biochemistry, Bioengineering, or a related field from a premier Indian institution with a strong publication record.
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 Experience conducting impactful translational or applied research in the microbiome and biomedical fields.
 </li>
 <li>
 Demonstrated research excellence through peer-reviewed publications, patents, or technology development.
 </li>
 <li>
 Proven experience in managing or leading scientific projects from conception to execution.
 </li>
 <li>
 Exceptional communication and organizational skills.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Prior experience in genetic engineering, synthetic biology, consortia building.
 </li>
 <li>
 Education or work experience at leading international institutions.
 </li>
 <li>
 Experience working in cross-border or multicultural teams.
 </li>
 <li>
 Familiarity with IP generation, regulatory pathways, or translational research pipelines.
 
 
 </li>
 </ul>
 
 To Apply
 
 
 
 
 Application Instructions:
 
 Please submit your CV, a brief statement of research interests, and contact information for 23 professional references.
 
 
 To apply, please submit a resume/CV and cover letter outlining your qualifications and interest in the position to hr@jivanutx.com. Additionally, provide examples of relevant projects or publications, along with contact information for references.
</div>

Research Scientist - IndiaBioscience

Goldman Sachs

<div>
 
 Job Description
 
 
 
 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.
 
 
 What We Do
 
 
 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.
 
 
 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.
 
 
 Who We Look For
 
 
 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.
 
 
 
 Business Unit Overview
 
 
 
 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.
 
 
 
 Team Overview
 
 
 
 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.
 
 
 
 Role And Responsibilities
 
 
 
 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.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <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>
 <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>
 <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>
 <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>
 <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>
 <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>
 <li>
 Build a RAG pipeline: Curate domain-knowledge; build data-quality validation framework; establish feedback loops and milestone framework maintain knowledge freshness.
 </li>
 <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>
 
 Qualifications
 
 
 
 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.
 
 
 
 Essential Skills
 
 
 
 <ul>
 <li>
 7+ 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>
 <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>
 <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>
 <li>
 Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).
 </li>
 <li>
 Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions.
 </li>
 <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>
 <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>
 
 About Goldman Sachs
 
 
 
 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.
 
 
 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. Learn more about our culture, benefits, and people at GS.com/careers.
 
 
 We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
 
 
 &copy; The Goldman Sachs Group, Inc., 2023. All rights reserved.
 
 
 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>

Engineering-L2-Bengaluru-Vice President-AI / ML Engineering

Explore 330+ Applied scientist 5 in Mangaluru this October. Find roles across top companies and apply now to boost your career.