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associate ml data operations go ai operations

Amazon

<div>
 
 Description
 
 
 
 This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies &amp; Robotics teams by enabling automation, which includes real-time &amp; offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy.
 
 
 An Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction.
 
 
 Key job responsibilities
 
 
 The Associate has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices. Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours&rsquo; time per day is spent to answer the videos. Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair &amp; sufficient lighting (2) workspace / work related data shouldn&rsquo;t be accessed by anyone other than employee
 
 
 
 The Candidate Is Expected To Demonstrate
 
 
 
 <ul>
 <li>
 Willingness to work in Non-tech role for contract duration of 6 months
 </li>
 <li>
 Ability to audit image/video/text based Jobs
 </li>
 <li>
 Ability to identify details from blurry, less sharp videos and provide correct response. Requires high level of attention &amp; focus on screen
 </li>
 <li>
 Willingness to work on incremental targets/goals on quality &amp; productivity
 </li>
 <li>
 Fast Pace of implementation &amp; consistent performance
 </li>
 <li>
 Ability to work in rotational shifts (including night shifts), remote teams and exceptionally good team player
 </li>
 <li>
 Readiness to come to office for few days (when required, applicable for associates working from home)
 </li>
 <li>
 Willing to switch ON laptop camera while on virtual meetings.
 
 
 </li>
 </ul>
 A day in the life
 
 
 Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon&rsquo;s work policy.
 
 
 Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.
 
 
 
 About The Team
 
 
 
 Data Auditing Operations team provides human support to Amazon Fulfillment facilities with goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20seconds) are sent to Operations Team for humans to audit them with information on products being stored at fulfilment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgement. The effectiveness of automated process will be increased by using videos that Associates have audited. This process helps maintaining stow quality at fulfillment center and Associate will be further evaluated for performance improvements/coaching.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Maharashtra - D80
 
 
 Job ID: A3014449
</div>

Associate, ML Data Operations, GO-AI Operations

<div>
 
 Description
 
 
 
 This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies &amp; Robotics teams by enabling automation, which includes real-time &amp; offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy.
 
 
 An Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction.
 
 
 Key job responsibilities
 
 
 The Associate has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices. Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours&rsquo; time per day is spent to answer the videos. Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair &amp; sufficient lighting (2) workspace / work related data shouldn&rsquo;t be accessed by anyone other than employee
 
 
 
 The Candidate Is Expected To Demonstrate
 
 
 
 <ul>
 <li>
 Willingness to work in Non-tech role for contract duration of 6 months
 </li>
 <li>
 Ability to audit image/video/text based Jobs
 </li>
 <li>
 Ability to identify details from blurry, less sharp videos and provide correct response. Requires high level of attention &amp; focus on screen
 </li>
 <li>
 Willingness to work on incremental targets/goals on quality &amp; productivity
 </li>
 <li>
 Fast Pace of implementation &amp; consistent performance
 </li>
 <li>
 Ability to work in rotational shifts (including night shifts), remote teams and exceptionally good team player
 </li>
 <li>
 Readiness to come to office for few days (when required, applicable for associates working from home)
 </li>
 <li>
 Willing to switch ON laptop camera while on virtual meetings.
 
 
 </li>
 </ul>
 A day in the life
 
 
 Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon&rsquo;s work policy.
 
 
 Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.
 
 
 
 About The Team
 
 
 
 Data Auditing Operations team provides human support to Amazon Fulfillment facilities with goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20seconds) are sent to Operations Team for humans to audit them with information on products being stored at fulfilment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgement. The effectiveness of automated process will be increased by using videos that Associates have audited. This process helps maintaining stow quality at fulfillment center and Associate will be further evaluated for performance improvements/coaching.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Maharashtra - D80
 
 
 Job ID: A2991894
</div>

Adobe

<div>
 
 Our Company
 
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give everyone&mdash;from emerging artists to global brands&mdash;everything they need to design and deliver exceptional digital experiences! We&rsquo;re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
 
 
 Backend Engineer &ndash; ML/AI &amp; Generative AI
 
 
 
 
 About The Role
 
 
 
 We are seeking a highly skilled
 
 Backend Engineer
 
 with a strong foundation in distributed systems and backend development, combined with practical experience in
 
 Machine Learning (ML), Artificial Intelligence (AI), and Generative AI applications
 
 . The ideal candidate will build scalable backend solutions that support AI-powered products, collaborating closely with data scientists and ML engineers to innovate, implement, and improve intelligent systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable backend services and APIs for AI-powered applications.
 </li>
 <li>
 Collaborate with ML/AI researchers and data scientists to productionize models (including LLMs, recommendation systems, and generative models).
 </li>
 <li>
 Implement efficient data pipelines to support training, evaluation, and deployment of models.
 </li>
 <li>
 Optimize inference systems for low-latency, high-throughput environments.
 </li>
 <li>
 Ensure backend systems are secure, resilient, and observable (logging, monitoring, tracing).
 </li>
 <li>
 Evaluate and integrate Generative AI APIs/SDKs (e.g., OpenAI, Anthropic, Hugging Face, etc.) into production systems.
 </li>
 <li>
 Contribute to architecture discussions, system design, and code reviews.
 </li>
 <li>
 Stay updated with emerging trends in GenAI, LLMOps, and backend technologies.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Engineering, or equivalent practical experience.
 </li>
 <li>
 3&ndash;7 years of backend engineering experience (depending on seniority).
 </li>
 <li>
 Strong proficiency in one or more backend languages: Python, Java, Go, or Node.js.
 </li>
 <li>
 Experience with ML/AI frameworks and tooling (TensorFlow, PyTorch, Hugging Face, LangChain, etc.).
 </li>
 <li>
 Proven experience building RESTful APIs, gRPC, or GraphQL services.
 </li>
 <li>
 Solid understanding of databases (SQL and NoSQL), caching, and distributed systems.
 </li>
 <li>
 Hands-on experience deploying models in production (Docker, Kubernetes, cloud ML services).
 </li>
 <li>
 Familiarity with GenAI concepts (prompt engineering, embeddings, vector databases, fine-tuning).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Exposure to cloud platforms (AWS, GCP, Azure) and serverless technologies.
 </li>
 <li>
 Knowledge of data privacy, compliance, and responsible AI practices.
 </li>
 <li>
 Contributions to open-source ML/AI or GenAI projects.
 
 
 </li>
 </ul>
 Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
 
 Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
</div>

Software Development Engineer

Commonwealth Bank

<div>
 
 Organization:
 
 
 
 Commonwealth Bank of Australia (CBA) is the largest bank in Australia with a market cap of almost $125 Billion and presence across New Zealand, Asia, the United States and the United Kingdom.
 
 
 It provides a variety of financial services, including retail, business and institutional banking, funds management, superannuation, insurance, investment, and broking services.
 
 
 
 Job Title:
 
 Data Scientist
 
 
 
 Location:
 
 Bangalore
 
 
 
 Business &amp; Team:
 
 The Chief Operations Office(COO) Data Science team is responsible for leading and the delivery of world-class AI and ML capabilities to support the stakeholders in serving our customers. We focus on developing advanced Machine Learning and Generative AI capabilities at CBA, working closely with business teams and analytics communities across the bank. We use data, ML and AI to enhance the financial wellbeing of our customers and communities, and to improve productivity and reduce risk.
 
 
 
 Impact &amp; contribution:
 
 The Data Scientist will use technical knowledge and understanding of business domain to own, drive and deliver highly complex data science projects independently, or with minimal guidance, including generative AI agentic frameworks.
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 <ul>
 <li>
 Lead and drive AI/ data science projects independently, owning the end-to-end process from data collection, model development to model deployment and monitoring.
 </li>
 <li>
 Apply Gen AI, Computer Vison, NLP, Deep Learning, advanced statistical and ML predictive modelling techniques to develop and implement scalable AI solutions, ensuring accuracy and reliability of models.
 </li>
 <li>
 Design and implement agentic AI systems that operate autonomously in dynamic, real-world environments, including establishing evaluation metrics and mitigating risks associated with autonomous decision-making.
 </li>
 <li>
 Collaborate with business and cross-functional teams to understand their needs and implement AI driven solutions, ensuring adherence to data governance and privacy protocols.
 </li>
 <li>
 Contribute to strategic planning and direction of AI, including understanding and suggesting opportunities for AI solutions to drive greater impact, efficiency, or outcomes.
 </li>
 <li>
 Mentor junior data scientists, provide quality assurance on outputs, and guidance on their projects while fostering a culture of continuous learning and best practices.
 </li>
 <li>
 Develop and deploy production-grade AI/ machine learning models in cloud-based and on-prem platforms.
 </li>
 <li>
 Lead cross-functional teams in the design and execution of AI/ data science projects, ensuring alignment with business objectives.
 </li>
 <li>
 Work in a multidisciplinary squad alongside architects, data engineers, taking technical responsibility across all stages of solution development and applying modular, robust code design principles.
 </li>
 <li>
 Stay abreast of emerging technologies and industry trends, continuously enhancing expertise in AI/ data science methodologies and tools through active learning approaches.
 </li>
 <li>
 Drive innovation by exploring new approaches and techniques for solving complex business problems through data analysis and AI/ ML modelling.
 </li>
 <li>
 Ensure responsible and ethical AI implementation, including establishing guardrails, managing model bias, and adhering to group AI policies and regulatory requirements.
 
 
 </li>
 </ul>
 
 Essential Skills:
 
 
 
 <ul>
 <li>
 More than 5 years of relevant experience.
 </li>
 <li>
 Must have: Hands on experience in AI, Deep Learning, Computer Vision, Advanced GenAI experience incl. LLMs, transformer architectures, and ability to make informed choices between different model types.
 </li>
 <li>
 Must have: Expertise in designing and implementing agentic AI systems that operate autonomously in dynamic environments, including agentic frameworks, evaluation metrics, and risk mitigation strategies.
 </li>
 <li>
 Must have: Advanced proficiency in Python (mandatory), SQL, with demonstrated ability to write well-designed, modular and optimized code following software engineering best practices.
 </li>
 <li>
 Must have: Deep knowledge of AI concepts, terminologies, data management tools, and understanding of data bias and governance protocols.
 </li>
 <li>
 Must have: Experience in responsible and ethical AI implementation, including Responsible AI and adherence to governance policies.
 </li>
 <li>
 Must have: Advanced machine learning expertise including regression, ensemble methods, neural networks, hyperparameter tuning, and model optimisation techniques.
 
 
 </li>
 </ul>
 
 Preferred Skills:
 
 
 
 <ul>
 <li>
 Nice to have: Advanced statistical modelling capabilities including multivariate analysis, time series analysis, experimental design, randomized controlled trials, power analysis, and Bayesian statistics.
 </li>
 <li>
 Nice to have: MLOps experience including model versioning, automated testing, CI/CD pipelines, performance monitoring, and end-to-end model deployment in production environments.
 </li>
 <li>
 Nice to have: Experience with cloud platforms (AWS, Azure) and data platforms, big data frameworks, and distributed computing for large-scale datasets.
 
 
 </li>
 </ul>
 
 Education Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering Or Master&rsquo;s degree Or Ph.D. in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics.
 
 
 </li>
 </ul>
 If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We&rsquo;re keen to support you with the next step in your career.
 
 
 We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.
 
 
 Advertising End Date: 25/09/2025
</div>

Data Scientist

Infosys

<div>
 Responsibilities
 
 
 <ul>
 <li>
 Anchor ML development track in a client project
 </li>
 <li>
 Data collection, profiling, EDA &amp; data preparation
 </li>
 <li>
 AI Model development, experimentation, tuning &amp; validation
 </li>
 <li>
 Present findings to business users &amp; project management teams
 </li>
 <li>
 Propose ML based solution approaches &amp; estimates for new use cases
 </li>
 <li>
 Contribute to AI based modules in Infosys solutions development
 </li>
 <li>
 Explore new advances in AI continuously and execute PoCs
 </li>
 <li>
 Mentoring &ndash; Guide junior team members &amp; evangelize AI in organization Technical skills
 </li>
 <li>
 Programming: Python, R, SQL
 </li>
 <li>
 ML algorithms:
 </li>
 <li>
 Statistical ML algorithms o Deep Neural Network architectures o Model ensembling o Generative AI models o ML for Responsible AI
 </li>
 <li>
 AI domains - NLP, speech, computer vision, structured data
 </li>
 <li>
 Learning patterns &ndash; supervised, unsupervised, reinforcement learning
 </li>
 <li>
 Tools for data analysis, auto ML, model deployment &amp; scaling, model fine tuning
 </li>
 <li>
 Knowledge of different Model fine tuning approaches for Large models
 </li>
 <li>
 Knowledge of datasets, pre-built models available in open community and 3rd party providers
 </li>
 <li>
 Knowledge of software development &amp; architectures
 </li>
 <li>
 Knowledge of hyperscalers &amp; their AI capabilities &ndash; Azure, AWS, GCP
 </li>
 <li>
 Knowledge of Model Quantization and Pruning
 </li>
 </ul>
</div>

Senior Analyst - Data Science

Straive

<div>
 
 
 About the Role
 
 
 
 Straive is looking for a talented and driven
 
 Consultant / Data Scientist / GenAI Engineer
 
 to join our
 
 Analytics &amp; GenAI delivery team
 
 . In this role, you will work under the guidance of the Senior Project Manager / Engagement Manager to design, develop, and deploy advanced AI/ML and Generative AI solutions for global enterprise clients. You will be part of a high-performing team, collaborating with both onshore and offshore members to build scalable, production-grade AI systems.
 
 
 
 
 
 This role is ideal for candidates from
 
 premier engineering institutes
 
 with
 
 2&ndash;3 years of relevant experience
 
 in Python development, LLM integration, and RAG workflows, along with a passion for solving complex problems in real-world business contexts.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain
 
 Python-based
 
 applications, AI/ML models, and data processing pipelines for GenAI projects.
 </li>
 <li>
 Implement
 
 Large Language Model (LLM)
 
 integrations, including
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines and embedding-based search solutions.
 </li>
 <li>
 Build data ingestion and transformation workflows, working with structured and unstructured datasets.
 </li>
 <li>
 Optimize AI model performance through
 
 prompt engineering
 
 , fine-tuning, and evaluation techniques.
 </li>
 <li>
 Collaborate closely with senior team members to translate business requirements into technical solutions.
 </li>
 <li>
 Integrate AI solutions with
 
 vector databases
 
 (e.g., Cosmos DB, Pinecone, ChromaDB) and API-driven applications.
 </li>
 <li>
 (Optional) Contribute to
 
 cloud-native deployments
 
 and
 
 Azure architecture
 
 &ndash;based solutions, including containerization, CI/CD, and basic MLOps workflows.
 </li>
 <li>
 Document workflows, maintain code repositories, and follow Agile development practices.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 2&ndash;3 years
 
 of relevant experience in AI/ML development, preferably in enterprise projects.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field from a
 
 premier engineering institute
 
 .
 </li>
 <li>
 Proficiency in
 
 Python
 
 programming and familiarity with relevant libraries (e.g., LangChain, Hugging Face, Pandas, NumPy).
 </li>
 <li>
 Hands-on experience implementing
 
 RAG pipelines
 
 , embeddings, and vector search solutions.
 </li>
 <li>
 Understanding of
 
 LLM architectures
 
 and integration patterns.
 </li>
 <li>
 Working knowledge of
 
 SQL
 
 and data processing best practices.
 </li>
 <li>
 Basic knowledge of
 
 cloud DevOps concepts
 
 , preferably with
 
 Azure
 
 (AWS/GCP experience is also acceptable).
 </li>
 </ul>
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Exposure to
 
 agentic AI frameworks
 
 such as LangGraph, Semantic Kernel, or similar.
 </li>
 <li>
 Familiarity with ML model lifecycle management and deployment workflows.
 </li>
 <li>
 Prior experience working with cross-border teams and Agile environments.
 </li>
 </ul>
 
 
</div>

Evalueserve India

<div>
 Elevate Your Impact Through Innovation and Learning
 
 
 Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work&reg; in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all.
 
 
 
 About Data Analytics (DA)
 
 
 
 Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines.
 
 
 What you will be doing at Evalueserve
 
 
 <ul>
 <li>
 Expertise in Data Analysis, Statistics, Computer Vision, AI &amp; Machine Learning Concepts
 </li>
 <li>
 Unflinching zeal to learn, to try out Proof of Technology for new and emerging AI/ML
 </li>
 <li>
 Design and develop applications powered by Large Language Models (LLMs) like GPT-4, Claude, Gemini, and open-source models (LLaMA, Mistral, etc.)
 </li>
 <li>
 Implement RAG pipelines using LangChain and LangGraph for production-ready applications.
 </li>
 <li>
 Build and orchestrate autonomous and tool-using LLM agents.
 </li>
 <li>
 Integrate with vector databases (e.g., Pinecone, Chroma, Weaviate, FAISS) for semantic search and memory storage.
 </li>
 <li>
 Use tools like OpenAI Function Calling, React, or LangGraph Agents for decision-based workflows.
 </li>
 <li>
 Deploy applications using cloud platforms (Azure, AWS, GCP) with APIs, microservices, or serverless functions.
 </li>
 <li>
 Collaborate with product and design teams to develop chatbots, copilots, and multimodal interfaces.
 </li>
 <li>
 Monitor performance, cost, latency, and evaluate prompt effectiveness through prompt engineering best practices.
 </li>
 <li>
 Fine-tune, quantize, or use adapters (LoRA, PEFT) for open-source models where applicable.
 </li>
 <li>
 Stay up to date with the latest advancements in Gen AI, MLOps, and AI safety principles.
 
 
 </li>
 </ul>
 What we&rsquo;re Looking For: -
 
 
 <ul>
 <li>
 Bachelor's/Master's degree in Computer Science, Mathematics, Statistics, or a related field.
 </li>
 <li>
 8-12 years of experience as a Data Scientist with strong skills in Python, NLP, Deep Learning, and Statistics.
 </li>
 <li>
 Hands-on experience with LangChain, LangGraph, and building LLM Agents for real-world AI applications.
 </li>
 <li>
 Strong Python skills with experience in deploying Gen AI apps using frameworks like FastAPI or Streamlit.
 </li>
 <li>
 Expertise in Retrieval-Augmented Generation (RAG) and working with vector databases like Pinecone, FAISS, or Chroma.
 </li>
 <li>
 Deep understanding of prompt engineering, OpenAI function calling, and chaining logic for dynamic interactions.
 </li>
 <li>
 Familiarity with cloud platforms such as Azure and AWS and deploying models to these platforms.
 </li>
 <li>
 Strong problem-solving and analytical skills with excellent communication and presentation skills.
 
 
 </li>
 </ul>
 Follow us on https://www.linkedin.com/company/evalueserve/
 
 
 Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud.
 
 
 How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities.
 
 
 Know more about how Evalueserve has climbed 16 places on the &ldquo;50 Best Firms for Data Scientists in 2024&rdquo;!
 
 
 Want to learn more about our culture and what it&rsquo;s like to work with us?
 
 
 
 
 Write to us at: careers@evalueserve.com
 
 
 
 
 
 
 
 
 Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.
 
 
 
 
 Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.
 
 
 
 
</div>

Senior Consultant- Gen AI

Explore 68+ Associate ml data operations go ai operations in Bangalore this September. Find roles across top companies and apply now to boost your career.

68 associate ml data operations go ai operations jobs IN Bangalore

Associate, ML Data Operations, GO-AI Operations

Associate, ML Data Operations, GO-AI Operations

Software Development Engineer

Data Scientist

Senior Analyst - Data Science

Data Scientist

Senior Consultant- Gen AI