3931 Retrieval Jobs - Page 5

🚀 What we’re building CodeRound AI matches top 5% tech talent to fastest growing VC funded AI startups in Silicon Valley and India. Candidates apply once and get UPTO 20 remote as well as onsite interview opportunities IF selected! T op-tier product startups in US, UAE & India have hired top engineers & ML folk using CodeRound 🔍 What We’re Looking For We’re hiring a Data Engineer who can own the data pipeline layer, work closely with our backend and ML engineers, and help scale our infra as we grow. If you’re someone who thrives in 0→1 chaos, enjoys shipping fast, and has GenAI curiosity with backend chops , this one’s for you. 🛠 What You’ll Do Build and maintain robust, scalable, and efficient data pipelines (batch and real-time) Partner with ML/AI engineers to support data needs for GenAI use cases (e.g. embeddings, vector stores, feature stores) Collaborate with backend engineers to ensure data flows seamlessly across systems Set up observability, data validation, and monitoring practices for production pipelines Own data architecture decisions, tooling, and storage choices Support analytics and product teams with clean, reliable datasets 🧠 Must-Haves 2-4 years of experience in a data engineering or backend-heavy data role Solid experience with Python and SQL; familiarity with dbt, Airflow, or similar tools Comfort working with modern data stacks (Snowflake/BigQuery/Postgres, etc.) Some experience or strong curiosity around GenAI workflows (e.g., vector databases, embeddings, retrieval pipelines) Exposure to backend concepts (REST APIs, microservices, data contracts) Startup mindset — bias for action, learning on the fly, strong ownership 🌱 Nice-to-Haves Experience with LangChain, LlamaIndex, or building RAG pipelines Familiarity with observability tools (e.g., Monte Carlo, OpenLineage, etc.) Worked in a fast-growing product startup or cross-functional data platform team 🧬 Culture Fit We’ll vibe well if you: Work with a founder mindset — practical, hands-on, and outcome-driven Value speed, clarity, and ownership over process and fluff Are excited by startup energy — uncertainty doesn’t faze you Are curious and proactive — you don't wait to be told what to do  🎁 What You’ll Get Work directly with the founding team Ownership and autonomy from day one Competitive comp + equity

About the job Company Description We are a seed-stage startup, solving tough Conversational AI problems for a $500Bn+ industry. Our mission is to help businesses scale by harnessing the power of AI in business conversations. We have enterprise customers that are loving our solution, and we are moving at a breakneck speed to enhance our product and ship it to a larger audience. Our team has a track record of building Cognitive AI (speech and NLP) products, and unique AI models (including multiple patents), leading strong teams at top tech companies, and creating multimillion $ businesses Role Description We’re on the hunt for a Senior Machine Learning Engineer with 5-8 years of experience to join our elite development team in a full-time, remote capacity . As a pivotal contributor, you’ll be instrumental in constructing our state-of-the-art conversational AI product amidst a rapidly evolving and high-velocity landscape. We’re scouting for a hands-on, seasoned, and technically strong senior machine learning engineer who thrives on crafting robust, scalable cloud services that lay the groundwork for our revolutionary conversational experience across enterprises. Responsibilities: • Develop and deploy machine learning models, including recommendation systems and advanced search functionalities (semantic, vector-based, and keyword-based). • Develop and deploy Retrieval-Augmented Generation (RAG) based applications by designing effective prompts and integrating external knowledge sources to enhance contextual relevance and user experience. • Analyze historical data to understand business use cases and develop robust, data driven algorithms. • Design, build, and maintain APIs, background cron jobs, workflows, and data pipelines to ensure scalability and optimal performance. • Collaborate with cross-functional teams to translate business requirements into effective technical solutions using Python and object-oriented programming principles. • Optimize and refactor existing systems and workflows to enhance efficiency and performance. • Ensure code quality and maintainability through comprehensive testing, regular code reviews, and adherence to industry best practices. • Stay current with emerging technologies and industry trends to continuously enhance and innovate product offerings. Requirements: • Strong understanding of semantic search concepts, including the design and implementation of search functionalities that leverage both vector-based and keyword-based techniques. • Demonstrated experience in designing and building recommendation algorithms to deliver personalized user experiences. • Experience in building Retrieval-Augmented Generation (RAG) based applications, with expertise in prompt designing to optimize contextual retrieval and generation. • 5+ years of hands-on experience in Python development with a proven track record of building scalable and maintainable solutions. • Strong knowledge of at least one major Python web framework (Django, Flask, or FastAPI) to design and deploy robust applications. • Extensive experience in leveraging object-oriented programming (OOP) principles in Python to develop modular and reusable code. • Hands-on experience with data analysis libraries such as Pandas and NumPy for effective data manipulation and analysis. • Previous experience in the job-candidate matching domain is highly desirable. Preferred Qualifications: • Experience working with different large language models (LLMs), including finetuning. • Familiarity with agentic AI systems and multi-component pipelines (MCP) development is a strong plus. • Experience with cloud platforms (AWS, GCP, or Azure) for deploying and scaling applications. • Familiarity with containerization tools like Docker and orchestration platforms such as Kubernetes. • Proven ability to work in agile development environments. • Excellent problem-solving skills and the ability to thrive in a collaborative, fast paced setting. ConverzAI is an Equal Opportunity Employer, and we value diversity in the company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, disability status, or any other basis forbidden under federal, state, or local law.

Job Title: Data Scientist – GenAI & Business Insights Location: Pune Experience: 3+ years About the Role: We are seeking a curious, solution-driven Data Scientist with strong experience in GenAI application development and a passion for solving real business problems through data. This role involves working on cutting-edge technologies like LLMs, agentic AI frameworks, RAG architecture, and integrating enterprise knowledge for intelligent applications. Key Responsibilities: Develop and fine-tune Large Language Model (LLM) applications tailored to business needs. Work with agentic AI frameworks such as LangChain , LlamaIndex , and Semantic Kernel . Implement Retrieval-Augmented Generation (RAG) patterns to integrate enterprise knowledge bases. Design and orchestrate prompts, tools, and workflows for GenAI systems. Translate business problems into data science problems; align work with OKRs using statistical validations. Conduct in-depth data wrangling , exploratory data analysis , and generate actionable insights. Create compelling data stories and dashboards; communicate findings with clarity to both technical and non-technical stakeholders. Apply design thinking and data literacy in cross-functional problem-solving. Must-Have Skills: Hands-on experience in LLM application development and fine-tuning . Familiarity with agentic frameworks and RAG systems. Strong skills in data wrangling , Excel VBA , and insight generation . Excellent communication (vocal & written) and storytelling ability. Problem-solving mindset with a balance of technical depth and business understanding. Ability to make data-driven decisions on iterations vs convergence. Quick learner with high business acumen and a strong desire to explore new domains. Design thinking and empathy for end users. Preferred Qualifications: Background in Computer Science, Data Science, Engineering, or a related field. 3 years of industry experience in analytics, AI, or data product development. Demonstrated portfolio or examples of AI/data-driven project ownership. Why Join Us? Be at the forefront of AI transformation, driving impact across diverse business problems while collaborating in a fast-paced, learning-oriented environment. How to Apply: If you’re excited by the opportunity to work at the intersection of GenAI and business innovation, apply directly via Indeed or send your updated resume with the subject line “Application – Data Scientist (GenAI & Insights)” to ankita.parbat@sanglob.in Job Types: Full-time, Permanent Pay: ₹484,878.94 - ₹1,000,000.00 per year Benefits: Flexible schedule Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your Current CTC? What is your expected CTC? What is your Official Notice Period/Last Working Day? Experience: Data science: 3 years (Preferred) Work Location: In person

Role Overview: Job Title: Senior Gen AI Engineer – GenAI / ML (Python, Langchain) Experience Required: 7–12 Years We are seeking a highly experienced Senior Gen AI Engineer to join our engineering team focused on designing, developing, and deploying cutting-edge Generative AI and Large Language Model (LLM) based solutions. This is a hands-on role requiring deep technical expertise in Python, modern AI frameworks, and system-level thinking to translate complex business requirements into scalable and production-ready AI applications. You will play a pivotal role in shaping the GenAI strategy and delivering high-impact solutions for real-world enterprise use cases. Key Responsibilities: ● GenAI System Design & Development: Build intelligent, context-aware systems using frameworks like Langchain and Retrieval-Augmented Generation (RAG). ● Prompt Engineering & Agent Workflows: Apply advanced prompt engineering and develop agent-based architectures for dynamic user interaction and reasoning. ● Technical Roadmapping: Collaborate with engineering leadership to define and implement the technical roadmap for GenAI and LLM initiatives. ● Solution Delivery: Translate business and functional requirements into scalable, robust, and maintainable AI/ML solutions. ● Cross-Team Collaboration: Work closely with business SMEs, product teams, and data engineers to align model outputs with domain-specific goals. ● Code & Architecture Excellence: Participate in system design, code reviews, and performance optimization of deployed solutions. Required Skills ● Proficient in Python, Langchain, and SQL. ● Deep understanding of LLM internals, including: ○ Prompt tuning ○ Embeddings ○ Vector databases (e.g., FAISS, Pinecone) ○ Agent workflows ● Strong foundation in Machine Learning or Software Engineering, especially in system design and architecture. ● Experience working on cloud platforms: AWS, Azure, or GCP. ● Ability to work autonomously and deliver in cross-functional environments. ● Strong communication skills, including experience with stakeholder engagement and technical documentation. Preferred Qualifications ● 1+ years of hands-on experience in LLMs and Generative AI technologies. ● Demonstrated experience contributing to or leading ML/AI product pipelines and end-to-end deployments. ● Familiarity with MLOps, CI/CD for ML, and model monitoring in production. ● Previous exposure to client-facing projects or collaborative work with business units and AI teams.

About the Role We’re looking for top-tier AI/ML Engineers with 6+ years of experience to join our fast-paced and innovative team. If you thrive at the intersection of GenAI, Machine Learning, MLOps, and application development, we want to hear from you. You’ll have the opportunity to work on high-impact GenAI applications and build scalable systems that solve real business problems. Key Responsibilities Design, develop, and deploy GenAI applications using techniques like RAG (Retrieval Augmented Generation), prompt engineering, model evaluation, and LLM integration. Architect and build production-grade Python applications using frameworks such as FastAPI or Flask. Implement gRPC services, event-driven systems (Kafka, PubSub), and CI/CD pipelines for scalable deployment. Collaborate with cross-functional teams to frame business problems as ML use-cases — regression, classification, ranking, forecasting, and anomaly detection. Own end-to-end ML pipeline development: data preprocessing, feature engineering, model training/inference, deployment, and monitoring. Work with tools such as Airflow, Dagster, SageMaker, and MLflow to operationalize and orchestrate pipelines. Ensure model evaluation, A/B testing, and hyperparameter tuning is done rigorously for production systems. Must-Have Skills Hands-on experience with GenAI/LLM-based applications – RAG, Evals, vector stores, embeddings. Strong backend engineering using Python, FastAPI/Flask, gRPC, and event-driven architectures. Experience with CI/CD, infrastructure, containerization, and cloud deployment (AWS, GCP, or Azure). Proficient in ML best practices: feature selection, hyperparameter tuning, A/B testing, model explainability. Proven experience in batch data pipelines and training/inference orchestration. Familiarity with tools like Airflow/Dagster, SageMaker, and data pipeline architecture.

Job Title: Full Stack Developer (React JS & Node.js) Location: Mohali, Punjab Exp Required : 3 years Job Type: Full-Time Department: Software Development Preference : Local Candidates Company: LGS (Lakhera Global Services) About Us:LGS (Lakhera Global Services) is an innovative technology company based in Mohali, specializingin delivering high-quality software solutions to clients across the globe. We are dedicated to pushingthe boundaries of technology and are looking for a talented Full Stack Developer to join ourgrowing team. The ideal candidate will have strong experience in React JS, Node.js, andPostgreSQL and be ready to work on exciting and impactful projects.Role Overview:As a Full Stack Developer at LGS, you will be responsible for developing both front-end andback-end components of our web applications. You will work with cutting-edge technologies suchas React JS for the front-end, Node.js for the server-side, and PostgreSQL or Apache Cassandrafor database management. This is a fantastic opportunity to work across the entire stack andcontribute to innovative projects. Key Responsibilities: Frontend Development: Design and develop dynamic user interfaces using React JS to deliver high-quality,responsive, and interactive web applications. Work closely with UX/UI designers to translate wireframes and mockups into code. Implement state management using Redux or Context API. Optimize web applications for speed, scalability, and user experience. Backend Development: Develop server-side logic and APIs using Node.js and Express.js to support front end functionality. Handle server-side authentication, data processing, and integration with third-partyservices. Build and maintain scalable RESTful APIs and work with the front-end team toensure seamless integration. Database Management: Design and maintain relational databases using PostgreSQL, ensuring optimalperformance, data integrity, and security. Write efficient SQL queries for data retrieval and management. Implement database migrations, optimizations, and data backups. Collaboration & Code Quality: Participate in code reviews and collaborate with other developers to ensure high quality code and best practices. Maintain version control using Git and adhere to Agile development practices. Troubleshoot and debug issues across the full stack, ensuring the smooth operation ofapplications. Testing & Deployment: Write unit tests, integration tests, and perform end-to-end testing to ensureapplication reliability. Deploy applications to production environments using modern CI/CD practices. Continuously monitor and optimize performance, identifying bottlenecks andaddressing security vulnerabilities. Qualifications:1. Proven experience as a Full Stack Developer or similar role, with expertise in React JS,Node.js, and PostgreSQL pr Apache Cassandra. Strong proficiency in JavaScript (ES6+), HTML5, and CSS3. Hands-on experience with React JS and state management libraries like Redux or ContextAPI. Experience with Node.js and Express.js, Middleware,Jsonwebtoken for building server side applications and APIs. Strong knowledge of PostgreSQL or Apache Cassandra and experience designing andoptimizing relational databases. Experience with RESTful API development and integration. Familiarity with front-end build tools like Webpack, Babel, and npm/yarn. Experience with version control systems, particularly Git. Familiarity with unit testing and testing frameworks (e.g., Jest, Mocha). Knowledge of Agile/Scrum methodologies.Nice to Have: Familiarity with TypeScript. Experience with Docker, containerization, and cloud platforms (e.g., AWS, Heroku,Azure). Knowledge of GraphQL or other API technologies. Experience with Microservices architecture. Personal Attributes: Strong problem-solving skills and the ability to debug complex issues. Excellent communication skills, with a collaborative and team-oriented mindset. Self-motivated and proactive, with a passion for learning new technologies. Detail-oriented and focused on delivering clean, maintainable code. Interested candidates can share cv recruiter@lakheraglobalservices.com or contact us 98882 55570 Job Types: Full-time, Permanent Pay: ₹40,000.00 - ₹60,000.00 per month Benefits: Health insurance Paid sick time Schedule: Day shift Morning shift Work Location: In person

Shift Timings : - Rotational ( 24*7 ) - Flexibility Week Off - 2 ( on Week Days ) One Time Meal Facility Available Job Description : - Customer Service Representative – Travel Industry Location: Gujarat (CG Road, Ahmedabad) About Technomine: Founded in 2008, we are a client centric Business Process Outsourcing and Knowledge Process Outsourcing partner based in India providing high quality services to our clients across the globe in the United States, United Kingdom, Europe and the Middle East. We primarily serve clients operating in the Video Surveillance, Travel Industry, Healthcare Industry, Medical Record Retrieval, Accounting Services, Recruitment firms and IT enabled Enterprise solutions. Our representatives can provide you with on-site support across the globe if required. With over ten years of experience and excellence in service, we have been a trusted business partner to our clients. () We are looking for someone with experience in managing a team of customer service agents (international customers) to join & be part of a new growing team with excellent career growth opportunities in near future. Summary of the job description and our expectations from candidates who apply follows below: Responsibilities: •Identify opportunities to enhance internal processes which promote best practice and lead to overall performance improvement and organisational efficiency. •Co-ordinate the activities of the Customer Service team; provide support and advice to team members. •Monitor performance and lead the team to achieve key performance indicators (KPIs) and provide an excellent service to customers. •Evaluate customer feedback and identify ways to maximise customer satisfaction. •Ensure that standard operating procedures are documented and maintained. •Produce written reports when required to do so. · Attending to customer and client queries from foreign destination for Hotel/flight booking and respond professionally to inbound phone calls and emails, including urgent situations. Attend to incoming calls and emails from travel booking customers and understand their problem · Be a first point of contact to handle and resolve Customer Reservations, handling after sales enquirers, bookings, documentation, complaints handling, etc. · The candidate will be responsible to handle outbound tourism by communicating with suppliers, Follow - up with Travel Agents and Suppliers for Outbound packages · Monitor various channels where customers may post their grievances like email, forums, chat support · Delight the customers with prompt suggestions of ideas and solutions to their problems and ensure that customers are satisfied with your resolution. · Send an email confirmation detailing the resolution and asking for customer feedback. · Document common customer queries and integrate into our Frequently Asked Questions module · Maintain a deep understanding of our product, service and industry knowledge to be able to speak with customers about the most relevant features and functionality for their specific needs Work Details- Technomine Travel Solutions ADMIN EXECUTIVE – TRAVEL & TOURS • Tour loading • System updates • Ticketing (sending final documentation to suppliers and customers) • Sending rooming lists • E ticket checking • Other ad hoc duties as required by other departments from time to time Basic Qualifications: · Should have good knowledge of Travel Industry (International Destinations) · 3+ years' experience in Travel domain. · Fluency in English (oral and written communication skills) SHIFT TIMINGS : - 24*7 Rotational ( Biweekly Change in Shift will happen ) REQUIREMENT Ready to work in different timings considering it as his responsibility. Should be able to deal with clients, team members, be a part of client team meetings, training given by the client and also assist team members in different processes.

The Opportunity: We need brilliant minds who can solve hard problems. We are building a small but mighty AI/ML team that's transforming how financial institutions handle compliance. This isn't about building flashy demos -- we're creating real solutions that keep our customers out of trouble with regulators while saving them countless hours of manual work. What you will do: Prototype GenAI components including vector search, retrieval-augmented generation, and lightweight LLM fine-tuning, then move promising ideas into production Write clear Python code, test it thoroughly, benchmark against real data, and iterate to improve performance Work in short release cycles: design review → code → deploy → monitor → fix Collaborate with product, DevOps, and domain specialists to translate compliance requirements into working code Working at Facctum: We ship compliance tech that banks rely on. Teams are small; decisions move fast; code earns its keep only when it runs in production. Work mode: Hybrid by default (few days from office and work from office on remaining days). Fully onsite or remote considered for the right person. Growth: Mentorship from senior engineers, hands-on exposure to cutting-edge GenAI, and visibility across the entire product lifecycle. Requirements Skills and experience we need: 2-3 years hands-on machine-learning development in Python Solid grasp of data structures, algorithms, and basic statistics Familiarity with a deep-learning toolkit (PyTorch, TensorFlow, or similar) Exposure to LLMs and related tooling (LangChain, LlamaIndex, etc.) and vector databases Comfort with Git and CI/CD basics Nice to have: AWS experience (we host and orchestrate on AWS), but it isn't mandatory

Jubilant Bhartia Group Jubilant Bhartia Group is a global conglomerate founded by Mr. Shyam S Bhartia and Mr. Hari S Bhartia with strong presence in diverse sectors like Pharmaceuticals, Contract Research and Development Services, Proprietary Novel Drugs, Life Science Ingredients, Agri Products, Performance Polymers, Food Service (QSR), Food, Auto, Consulting in Aerospace and Oilfield Services. Jubilant Bhartia Group has four flagships Companies- Jubilant Pharmova Limited, Jubilant Ingrevia Limited, Jubilant FoodWorks Limited and Jubilant Industries Limited. Currently the group has a global workforce of around 43,000 employees. Jubilant Pharmova Limited Jubilant Pharmova Limited (formerly Jubilant Life Sciences Limited) is a company with global presence that is involved in Radiopharma, Allergy Immunotherapy, CDMO Sterile Injectables, Contract Research Development and Manufacturing Organisation (CRDMO), Generics and Proprietary Novel Drugs businesses . In the Radiopharma business , the Company is involved in manufacturing and supply of Radiopharmaceuticals with a network of 46 radio-pharmacies in the US. The Company’s Allergy Immunotherapy business is involved in the manufacturing and supply of allergic extracts and venom products in the US and in some other markets such as Canada, Europe and Australia. Jubilant through its CDMO Sterile Injectables business offers manufacturing services including sterile fill and finish injectables (both liquid and lyophilization), full-service ophthalmic offer (liquids, ointments & creams) and ampoules. The CRDMO business of the Company includes the Drug Discovery Services business that provides contract research and development services through two world-class research centres in Bangalore and Noida in India and the CDMO-API business that is involved in the manufacturing of Active Pharmaceutical Ingredients. Jubilant Therapeutics is involved in Proprietary Novel Drugs business and is an innovative biopharmaceutical company developing breakthrough therapies in the area of oncology and autoimmune disorders. The company operates six manufacturing facilities that cater to all the regulated market including USA, Europe and other geographies. Find out more about us at www.jubilantpharmova.com The Position Organization : - Jubilant Pharmova Limited Designation : - Sr. Engineer - Artificial Intelligence Location : - Greater Noida Job Summary: - The incumbent will Work on real-world projects, helping design, develop, and deploy AI models and data-driven solutions. You will play a crucial role in helping businesses make informed decisions by collaborating with stakeholders, designing data models, creating algorithms, and sharing meaningful insights to drive use case success. Key Responsibilities AI Solution Development : Design, train, fine-tune, and evaluate generative models (e.g., GPT, LLaMA, Stable Diffusion, DALL·E, etc.), Collaborate with cross-functional teams including product, research, and engineering to integrate GenAI capabilities into products. Develop a platform approach, optimize models for performance, latency, and cost in production environments Model Integration : Integrate foundational models and retrieval-augmented generation (RAG) techniques Backend Development : Implement backend services and API endpoints to support AI solutions. Frontend Integration : Develop or adapt frontend interfaces for user interaction. Mentor junior engineers and contribute to best practices in model development and deployment. Ensure ethical and responsible AI practices in model design and usage Person Profile Qualification: - Bachelor’s or Master’s degree in Computer Science, Machine Learning, Mathematics / Statistics or related field Experience/Must Have :- 3 -5+ years of experience in machine learning, with at least 2 years focused on generative AI. Preferably with GenAI use cases in Chemical, Pharma, or Manufacturing industries. We are looking for a highly agile individuals who would like to make an impact in a global set up. Proficiency in Python for data handling and AI-related scripting. Familiarity with data pipeline development, ETL processes, and data preprocessing techniques. Knowledge of testing frameworks and tools to ensure model robustness, as well as experience with automated testing for QA processes. Familiarity with Retrieval-Augmented Generation techniques and their applications. Knowledge of prompt engineering techniques to optimize generative AI models for specific tasks and enhance output relevance. Experience in predictive modeling areas, such as traditional supervised and unsupervised learning, Basic familiarity with foundational generative AI models and Natural Language Processing (NLP) Jubilant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, colour, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, race, ethnicity, religion or any other characteristic protected by applicable local laws, regulations and ordinances

Job Title: AI/ML Engineer Location: Remote Experience Required: 6+ years (including 1+ year in Generative AI & LLMs) Employment Type: Full-time About the Role: We are seeking a highly skilled and motivated AI/ML Engineer with a solid foundation in machine learning and a growing expertise in Generative AI and Large Language Models (LLMs) . This is a fully remote role, ideal for someone who thrives in a fast-paced, innovation-driven environment. Key Responsibilities: Design, develop, and deploy scalable machine learning models for various business use cases. Build and optimize data pipelines for model training and inference. Work on LLM-based applications, including prompt engineering, RAG (Retrieval-Augmented Generation), and agent-based systems. Collaborate with data scientists, product managers, and backend teams to integrate AI models into production systems. Continuously research and implement state-of-the-art ML and GenAI techniques. Monitor and maintain model performance in production environments. Required Skills & Qualifications: Bachelor's or Master's in Computer Science, Engineering, or a related field. 6+ years of experience in building and deploying machine learning solutions. Strong programming skills in Python and hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). At least 1 year of practical experience with Generative AI/LLMs (OpenAI, HuggingFace, LangChain, LangGraph, etc.). Experience with RAG, Prompt Engineering, and Agent-based AI systems . Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps tools. Experience with REST APIs, data engineering pipelines, and model versioning.

Position: Senior Generative AI Engineer – GenAI / ML (Python, Langchain) Type: Full-Time Location: Primary - Gurgaon Secondary - Chennai / Pune / Bangalore / Noida Experience Required: 7–12 Years About the Role: We are seeking a highly skilled and experienced Senior Generative AI Engineer to join our team. This is a hands-on engineering role focused on designing, building, and deploying cutting-edge Generative AI and Large Language Model (LLM) -based solutions. The ideal candidate will have strong expertise in Python , modern LLM frameworks , and the ability to influence the product roadmap while working collaboratively across teams. Key Responsibilities: Design and implement GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Apply advanced prompt engineering techniques and develop agent-based frameworks for intelligent, context-aware applications. Collaborate with engineering teams to shape the technical strategy and roadmap for LLM-related initiatives. Translate complex business requirements into scalable, production-grade AI solutions. Partner with business SMEs and data teams to align AI models with real-world use cases. Participate in architecture discussions, conduct code reviews, and drive performance optimizations. Required Skills & Qualifications: Strong programming skills in Python , along with experience in Langchain and SQL . Solid understanding of LLM internals, including prompt tuning , embeddings , vector databases , and agent workflows . Proven background in machine learning or software engineering with a focus on system-level thinking. Experience with cloud platforms such as AWS , Azure , or GCP . Self-motivated and capable of working independently while effectively collaborating with cross-functional teams. Excellent communication skills with the ability to manage diverse stakeholders. Preferred Qualifications: Minimum 1 year of hands-on experience working with LLMs and Generative AI techniques . Experience in building or contributing to ML/AI product pipelines and end-to-end deployments . Familiarity with MLOps practices and scalable deployment architectures for AI models. Prior experience working on client-facing projects or within cross-functional AI teams .

Position : Sr. MIS Executive Location : Thane (West), Mumbai Key Responsibilities Key Responsibilities Oversee the collection, validation, and analysis of operational data to ensure accuracy and timely reporting. Prepare and deliver regular dashboards, reports, and presentations to stakeholders, transforming raw data into clear insights. Build and manage databases and data systems to support efficient data retrieval and reporting. Work closely with cross-functional teams to gather data needs and deliver analytics solutions that align with business goals. Perform data quality checks to ensure integrity, consistency, and reliability. Support leadership in identifying trends, patterns, and data anomalies to aid in strategic decisions. Lead and mentor a team of MIS analysts, ensuring task delegation, performance management, and continuous upskilling. Required Skills & Qualifications Mandatory 5+ years of experience as an MIS Executive or similar role Applicants must be BCI-certified through Rahul Jain’s course and currently reside in Mumbai. Strong background in data analysis and reporting. Proficient in Microsoft Excel and data visualization tools. Experience with SQL and database systems. Detail-oriented with strong analytical and problem-solving abilities. Able to multitask and collaborate effectively in a team environment. Preferred Familiarity with tools like Tableau and Power BI. Strong time-management and organizational skills. Excellent command of Excel and Google Sheets, including formulas like VLOOKUP, pivot tables, and ideally Macros. A solid foundation in mathematics would be beneficial. Prior experience in a similar MIS or Data Management role within the tech sector. Knowledge of Looker Studio and spreadsheet automation. Understanding of systems like FMS, IMS, and PMS. What We Offer A dynamic, inclusive, and innovation-driven work culture. Opportunities for growth, learning, and career progression. A collaborative team environment that values diverse perspectives. Skills: collaboration,database systems,dashboard automation,etl,looker studio,ims,data analysis,power bi,team leadership,data quality checks,google sheets,sql,reporting,management,analytics,dashboard design,looker,fms,vba,microsoft excel,business intelligence,data visualization tools,problem-solving,automation,pms,advanced,excel,data visualization,multitasking,data governance,dashboards

Responsibilities Build multi-agent systems capable of reasoning, tool use, and autonomous action Implement Model Context Protocol (MCP) strategies to manage complex, multi-source context Integrate third-party APIs (e.g., Crunchbase, PitchBook, CB Insights), scraping APIs, and data aggregators Develop browser-based agents enhanced with computer vision for dynamic research, scraping, and web interaction Optimize inference pipelines, task planning, and system performance Collaborate on architecture, prototyping, and iterative development Experiment with prompt chaining, tool calling, embeddings, and vector search Requirements 5+ years of experience in software engineering or AI/ML development Strong Python skills and experience with LangChain, LlamaIndex, or agentic frameworks Proven experience with multi-agent systems, tool calling, or task planning agents Familiarity with Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and multi-modal context handling Experience with browser automation frameworks (e.g., Playwright, Puppeteer, Selenium) Cloud deployment and systems engineering experience (GCP, AWS, etc.) Self-starter attitude with strong product sense and iteration speed Bonus Points Experience with AutoGen, CrewAI, OpenAgents, or ReAct-style frameworks Background in building AI systems that blend structured and unstructured data Experience working in a fast-paced startup environment Previous startup or technical founding team experience

Job Purpose As a key member of the DTS team, you will primarily collaborate closely with a leading global hedge fund on data engagements. Partner with data strategy and sourcing team on data requirements to design data pipelines and delivery structures. Essential Skills Desired Skills and Experience A bachelor’s degree in computer science, engineering, mathematics, or statistics 4-6 years of experience in a Data Engineering role, with a proven track record of delivering insightful and value add dashboards Strong experience with Snowflake for data warehousing and analytics. Proficiency in Python for scripting and automation. Hands-on experience with AWS S3 for data storage and retrieval. Solid understanding of SQL and data modeling concepts. Familiarity with Unix-based command-line environments. Experience in building and maintaining QA frameworks for data validation. Ability to prioritize multiple projects simultaneously, problem solve, and think outside the box Key Responsibilities Data Loading Operations: Operate proprietary tools for data ingestion using command-line interfaces and Python scripting in a Unix-based environment. Custom SQL Development: Write and optimize bespoke SQL scripts to query and manipulate transactional data within the Snowflake data warehouse. Quality Assurance (QA): Design and implement QA scripts and validation frameworks to ensure data integrity, accuracy, and completeness, including handling edge cases. Data Cleansing & Transformation: Apply engineering principles and business logic to cleanse and transform raw datasets into structured formats for internal ELT pipelines Key Metrics Snowflake, AWS (S3 specifically), Python Unix based OS command line, Exposure to QA Behavioral Competencies Good communication (verbal and written) Experience in managing client stakeholders

Skills: Python, PyTorch, Machine Learning, Deep Learning, Natural Language Processing, Cloud Platforms (AWS, Azure, GCP), Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Job Overview We are seeking a Junior AI Engineer for a full-time position based in Hyderabad. The role requires 1-3 years of experience in artificial intelligence and related technologies. As part of the team, you will work on developing and integrating AI components into our solutions, focusing on enhancing studio management tools with cutting-edge AI capabilities. Qualifications And Skills Experience with Python (Mandatory skill) for developing efficient AI models and automating intricate processes. Proficiency in Large Language Models (LLM) (Mandatory skill) for understanding and generating human-like text responses in applications. Knowledge of Retrieval-Augmented Generation (RAG) (Mandatory skill) to enhance AI-based information retrieval systems. Working knowledge of PyTorch for building, training, and deploying deep learning models effectively. Proven skills in Machine Learning and Deep Learning techniques to design innovative AI solutions. Experience with Natural Language Processing to create applications that understand and process human languages. Familiarity with Cloud Platforms such as AWS, Azure, or GCP to deploy scalable AI solutions and manage cloud resources. Ability to effectively collaborate with cross-functional teams, showcasing solid communication and problem-solving skills. Roles And Responsibilities Develop and implement AI models to enhance our existing studio management tools, improving functionality and user experience. Collaborate with software engineers to integrate AI systems seamlessly into the platform infrastructure. Analyze data patterns to refine AI algorithms, optimizing performance and accuracy in real-world applications. Maintain and upgrade AI components to ensure they align with the latest technological advancements and industry standards. Assist in troubleshooting and debugging AI functionalities, ensuring seamless operation and user satisfaction. Provide technical insights and suggestions to improve AI-driven solutions in the context of photography studio management. Contribute to team meetings, offering innovative ideas to enhance the capabilities of our tools and services. Stay updated with emerging trends in AI to suggest and implement cutting-edge approaches and methodologies.

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About The Role We are seeking an entry level AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities Assist in developing AI-driven solutions using LLMs and RAG (Retrieval-Augmented Generation). Integrating APIs like OpenAI or LLama. Support the design and testing of AI-enhanced workflows. Implement database interactions (MySQL or PostgreSQL for structured data). Write and optimize Python/ Node.js scripts for the applications. Assist in developing production-grade ML models to enhance customer experience, content recommendation, content generation. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry. Requirements 1 - 3 years of experience in AI/ML engineering. Strong programming skills in Python (FastAPI, Flask) or Node.js . Exposure to NLP, LLMs, AI APIs (ChatGPT, Perplexity.ai , LangChain, LlamaIndex). Familiarity with RESTful APIs and Graph Databases (Neo4j, ArangoDB). Basic understanding of cloud platforms (AWS, Azure, GCP). Passion for AI, NLP, and chatbot development. Familiarity with MLOps platforms, such as Kubeflow or MLFlow. Familiarity with one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Bonus: Knowledge of UI frameworks (React, Next.js ). Good to have – Qdrant or equivalent vector databases. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Draft Letters and other official documents as per instructions. Maintain and update data in Excel sheets with accuracy and confidentiality. Print invoices and ensure proper filing for accounting and record-keeping purposes. Verify expense reports and related documents to ensure accuracy and compliance with company policies. Maintain and organize files (both physical and digital) for easy retrieval and reference. Scan documents and ensure proper storage in the digital filing system.

We are looking for a International Lead Generation Executive to join our team at Dwc Technologies Private Limited. The role involves updating accurate data in databases, spreadsheets, and systems as required. With a collaborative environment and growth opportunities, the position offers a salary of ₹15000 - ₹18000. Key Responsibilities: Maintain and organize physical and digital records for easy access and retrieval. Communicate with relevant teams to clarify data inconsistencies and improve processes. Verify data accuracy, correct errors and identify irregularities promptly. Ensure data accuracy and accessibility to facilitate smooth operations. Generate reports and summaries to aid internal decision-making processes. Maintain confidentiality of sensitive information at all times. Job Requirements: The minimum qualification for this role is 12th Pass and 0.5 - 2 years of experience. Candidates must have attention to detail, a high level of accuracy, strong organizational skills, and the ability to manage multiple tasks efficiently.

Company Description Strategy (Nasdaq: MSTR) is at the forefront of transforming organizations into intelligent enterprises through data-driven innovation. We don't just follow trends—we set them and drive change. As a market leader in enterprise analytics and mobility software, we've pioneered BI and analytics space, empowering people to make better decisions and revolutionizing how businesses operate. But that's not all. Strategy is also leading to a groundbreaking shift in how companies approach their treasury reserve strategy, boldly adopting Bitcoin as a key asset. This visionary move is reshaping the financial landscape and solidifying our position as a forward-thinking, innovative force in the market. Four years after adopting the Bitcoin Standard, Strategy's stock has outperformed every company in S&P 500. Our people are the core of our success. At Strategy, you'll join a team of smart, creative minds working on dynamic projects with cutting-edge technologies. We thrive on curiosity, innovation, and a relentless pursuit of excellence. Our corporate values—bold, agile, engaged, impactful, and united—are the foundation of our culture. As we lead the charge into the new era of AI and financial innovation, we foster an environment where every employee's contributions are recognized and valued. Join us and be part of an organization that lives and breathes innovation every day. At Strategy, you're not just another employee; you're a crucial part of a mission to push the boundaries of analytics and redefine financial investment. Job Description We are looking for a highly skilled AI Engineer to join our team and contribute to the development of AI-powered solutions. The ideal candidate will have expertise in Python programming, REST API development, cloud infrastructure, and AI model integration. This role requires strong problem-solving skills, a deep understanding of AI technologies, and the ability to optimize and deploy AI applications efficiently. Key Responsibilities: Develop, maintain, and optimize AI-driven applications using Python. Implement object-oriented programming, module creation, and unit testing to ensure code quality and maintainability. Design and build RESTful APIs with FastAPI for seamless integration of AI services. Work with various Large Language Models (LLMs), including OpenAI and Azure OpenAI, to enhance AI-driven functionalities. Interface with relational and vector databases for efficient AI data retrieval and storage. Implement text embedding techniques to improve AI-powered natural language processing tasks. Deploy and manage AI applications on cloud platforms such as AWS, Azure, and GCP. Utilize Docker for containerization, ensuring scalable and efficient deployment. Collaborate with cross-functional teams using Git for version control and code management. Requirements: Bachelor’s/Master’s degree in Computer Science or equivalent. A minimum of 2-3 years of hands-on experience in Python software development with a focus on modular, scalable, and efficient coding for AI/LLM-based applications. Experience developing and maintaining RESTful APIs using FastAPI and interfacing with relational databases. Experience in implementing LLMs (OpenAI, Azure) using vector databases, text embedding, and RAG. Hands-on experience with cloud platforms (AWS, Azure, GCP) and docker for AI deployment and scaling. Strong Git skills for version control and collaborative development. Ability to adjust and thrive in a fast-paced environment with changing priorities. Strong analytical and problem-solving skills. Familiarity with data visualization tools such as Strategy preferred. Additional Information The recruitment process includes online assessments as a first step. We send them via e-mail, please check also your SPAM folder. We work from Pune office 4 times a week Working hours: 12:30- 9:30pm

AI Engineer: Shape the Future of Autonomous Intelligence About Teradata At Teradata, we don’t just manage data—we unlock its full potential. Our ClearScape Analytics™ platform and pioneering Enterprise Vector Store empower the world’s largest organizations to extract transformative value from their most complex data. We’re at the forefront of innovation in Artificial Intelligence, especially in the dynamic space of autonomous and agentic systems. Ready to learn from industry leaders and make a real impact? The Opportunity: Dive into Enterprise Agentic AI Are you a curious, motivated individual passionate about the next frontier of AI? Have you developed intelligent systems that can reason, learn, and act autonomously? Join us as an AI Engineer and help shape the future of enterprise intelligence using agentic AI. You’ll collaborate with other experienced AI engineers and data scientists on cutting-edge projects that redefine how businesses harness data. This is a hands-on opportunity to apply your expertise and contribute to the development of intelligent agents and agentic AI workflows that drive insights and automate complex engineering flows. What You’ll Do Improve Engineering Efficiency: Collaborate with a passionate team of engineers to explore diverse engineering processes and identify opportunities to enhance efficiency using agentic AI Build Agentic Systems: Contribute to the design, implementation, and testing of components for robust AI agents and multi-agent orchestration. Leverage Vector Stores: Work with Teradata’s Enterprise Vector Store to develop intelligent retrieval-augmented generation (RAG) pipelines. Work with Real-World Data: Gain experience processing large-scale, complex datasets within the Teradata ecosystem. Research & Prototype: Engage with the latest research in agentic AI, prompt engineering, and autonomous systems to prototype innovative ideas. System Integration: Help integrate LLM-based agents with retrieval tools, structured/unstructured inputs, and downstream Teradata products. Who You Are 2-3 years of experience in developing solutions leveraging LLMs for complex business processes. Hands-on experience in developing and deploying agentic AI systems that automate and optimize manual engineering workflows by leveraging orchestration frameworks, or multi-step reasoning workflows. Holding Master’s or Ph. D. in Data Science, Artificial Intelligence, or a related field. Hand-on experience with LLM APIs (e. g. , OpenAI, Claude, Gemini) and agent toolkits (e. g. , AgentBuilder, AutoGen, LangGraph, CrewAI). Understanding of chain-of-thought reasoning, prompt tuning, or context window management. Knowledge of evaluation metrics for agent performance, latency, and reliability. Hands-on with Python and Cloud automation. Having experience in developing full stack applications is a plus. Passionate about innovation and advancing the state of AI. Curious about text, data, workflows, and multimodal reasoning. Why to join Teradata? Real-World Impact: Work on meaningful projects that address complex enterprise challenges. Innovative Technology: Gain deeper experience with Agentic AI, Generative AI, and large-scale data platforms. Mentorship & Development: Learn from experienced professionals in AI, machine learning, and data engineering. Collaborative Culture: Join a supportive, inclusive team that values creativity and continuous learning. Career Progression: Build a strong portfolio and skill set for a future in advanced AI. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

Factory Operations Establishing and implementation of all standard food safety parameters mandated by the internal quality policy company and regulatory authorities. Manage product quality during entire process flow, verify that all process control parameters are being followed and always documented. Inspect products and follow process from beginning to end to ensure all products met safe quality food standards. Enforce all company GMP's policies and procedures. Support the on-time release of finished products and raw materials and provide compliance guidance during regulatory inspections and corporate audits. Evaluate and approve raw materials and finished products, ensuring organizational and industrial guidelines and specifications were followed. Maintain a culture of continuous improvement by identifying process improvement opportunities and work with the Quality Team to implement change. Will assist in conducting internal audits and manage audits by third-party inspectors. Will assist in data analysis and preparing reports on food quality status to relay to top management. Monitoring of all record keeping and retrieval of all records - tests, inspections, QC logs as per requirement. Managing quality executives/ trainees/ interns of the respective location. Customer Complaint Handling Will assist cs team in review and respond to customer complaints and feed back to respective departments Will be in charge of doing RCA & corrective action for the quality complaints for respected geos, record keeping. Hub And Retail Shop Operations hub inspection/audit and carry out routine inspection/audit of the all the hubs/retail shop in the city. Will assist/conduct regular scheduled training for hub/retail shop staffs. Procurement Operations documentation of all the suppliers and scheduling and conducting vendor audits. documentation of supplier performance evaluation. Will assist/conduct regular scheduled vendor improvement training for the approved suppliers Will assist in the implementation of food safety standards, quality programmes as mandated by the internal quality policy of the company and regulatory authorities with the supplier Laboratory Will assist in the monitoring the microbiology laboratory and chemical tests to ensure all the tests are being done according to internal laid manual and required FSSAI and / or other applicable standards. Other Requirements Work in shifts along with some travel required with occasional outstation travel for partner institution research programmes/ training field staff/ QA implementation/Vendor improvement program at different location or training purposes. Fieldtrip/Travel for the purpose of internal audits and supplier audit. Should be conversant in computer skills and Good English Language skills. Any other duties or deputation to meet the overall food safety and quality assurance objectives of the company.

Role Job Description: FSMS implementation and operations with good Knowledge of FSSAI requirements and other food safety management system schemes. Responsible for the arrival quality checking of the F&V produce Update quality and handling manual for all SKUs based on science as per requirements. Identify source of quality issues and find solutions. Communicate with company farms, farming partners and vendors on quality gaps and plan on achieving desired quality. Manage product quality during entire process flow, verify that all process control parameters are being followed and always documented. Knowledge of food safety regulations and standards Internal audits to verify compliance to regulations, Maintain all documents related to Quality. Monitoring of all record keeping and retrieval of all records - tests, inspections, QC logs as per requirements. FSMS implementation and staff training in SOPs and food safety. Maintain regulatory requirements and other certification requirements as per operational requirements. Seasonal review and publish updated sepecifications as required and provide feedback on quality to procurement for improvements. Customer Complaint Handling Will assist cs team in review and respond to customer complaints and feed back to respective departmentsWill oversee doing RCA & corrective action for the quality complaints for respected geos, record keeping. Others Will need to travel on supplier audit both locally and interstate as required for vendor approval and inspections. Will need to work in shifts as per operations requirement. Will need good computer and English lanuage skills.

The group provides business information, administration and helpdesk support globally Responsibilities: Engage with bankers to improve clarity on project deliverables across all assignments leading to better client servicing Retrieving business / financial information from a broad set of resources (e.g. online databases, the internet, print sources, trade associations, etc.) Working closely with global staff requesting for information to ensure requests are processed in a timely manner with high quality Comply with the ethical standards contained in the Citi Code of Conduct Ensure that the Private and Confidential information sought during the course of the work should be protected from disclosure. Individual will have an obligation to safeguard Confidential Information from loss or misuse, and to use it only in the performance of his / her employment responsibilities Eligibility Criteria & Key Skills Required:- Ability to work in shifts in a fast paced 24x7 operations Basic Financial Knowledge Strong team player skills, should be able to work collaboratively across teams and share knowledge and information appropriately Must be able to work well under pressure with high level of accuracy and to prioritize workload in order to deliver results to tight deadlines Should be able to communicate with global coordinators / teams on a ongoing basis with respect to various projects / assignments Knowledge of basic information retrieval systems like Factiva and Thomson products is preferred Understanding of different types of business information: i.e. public and private company filing requirements / data, News, M&A and Capital Issues, Fundamentals, Broker Research and Earnings Estimates, Ownership data, etc. is preferred Ability to exercise independent thinking and balanced judgment Education: Candidate should be a graduate either in B.com or BMS or BFM or BAF or BBI, with 2+ years of experience into preferably Information research or similar role ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Business Analysis ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Matillion We are currently seeking an experienced data engineer to join our dynamic Data & Analytics team. The Data Engineer will design, build, and maintain the data infrastructure and pipelines to meet the data and analytics needs. He or she should be well versed on various programing languages, different databases, data conversion strategies, and optimization strategies to ensure efficient flow of data and information across various business applications throughout the company. The data engineer will also handle common database procedures such as upgrades, backups, recoveries, and migrations, as well as troubleshooting, issue resolutions, and debugging. He or she will collaborate with other team members and stakeholders to ensure database integrity, stability, and performance. Responsibilities Data Pipeline Development: Design, develop, and maintain robust data pipelines that support the efficient collection, transformation, and storage of large datasets. ETL / ELT Processes: Knowledge about ETL / ELT processes to integrate and clean data from various sources. Database Management: Manage and maintain databases (SQL and NoSQL) to ensure efficient storage and retrieval of data. Collaboration: Work closely with Data Analysts, Data Scientists, and business stakeholders to ensure data is available, accessible, clean, and ready for analysis. Data Quality: Ensure data quality by implementing data validation, monitoring, and automation processes. Optimization: Optimize the performance of data systems and queries to meet scalability and speed requirements.

Key Responsibilities Monitor and maintain health of production AI models (GenAI and traditional ML). Troubleshoot data/model/infra issues across model pipelines, APIs, embeddings, and prompt systems. Collaborate with Engineering and Data Science teams to deploy new versions and manage rollback if needed. Implement automated logging, alerting, and retraining pipelines. Handle prompt performance drift, input/output anomalies, latency issues, and quality regressions. Analyze feedback and real-world performance to propose model or prompt enhancements. Conduct A/B testing, manage baseline versioning and monitor model outputs over time. Document runbooks, RCA reports, model lineage and operational dashboards. Support GenAI adoption by assisting in evaluations, hallucination detection, and prompt optimization. Must-have Skills 1+ year of experience in Data Science, ML, or MLOps. Good grasp of ML lifecycle, model versioning, and basic monitoring principles. Strong Python skills with exposure to ML frameworks (scikit-learn, pandas, etc.). Basic familiarity with LLMs and interest in GenAI (OpenAI, Claude, etc.). Exposure to AWS/GCP/Azure or any MLOps tooling. Comfortable reading logs, parsing metrics, and triaging issues across the stack. Eagerness to work in a production support environment with proactive ownership. Nice-to-Have Skills Prompt engineering knowledge (system prompts, temperature, tokens, etc.). Hands-on with vector stores, embedding models, or LangChain/LlamaIndex. Experience with tools like MLflow, Prometheus, Grafana, Datadog, or equivalent. Basic understanding of retrieval pipelines or RAG architectures. Familiarity with CI/CD and containerization (Docker, GitHub Actions). Ideal Candidate Profile A strong starter who wants to go beyond notebooks and see AI in action. Obsessed with observability, explainability, and zero-downtime AI. Wants to build a foundation in GenAI while leveraging their traditional ML skills. A great communicator who enjoys cross-functional collaboration.