Artificial Intelligence / Machine Learning Engineer Lead
- Fiserv
- 10 - 15 years
- Pune
- 1 month ago
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Job Description
What you will be doing
As a Artificial Intelligence / Machine Learning Engineer Lead, you will be working on developing cutting-edge Gen AI and Agentic solutions across the organization.
What you bring:
Knowledge / Experience
- 10+ years of overall experience with 4+ years on AI/Gen AI/Agentic AI
- Designing and building GenAI-powered applications using LLMs (open proprietary)
- Building agent-based systems with planning, memory, tool use, and orchestration
- Implementing Agentic workflows (multi-agent, human-in-the-loop, autonomous tasks)
- Integrating AI systems with enterprise platforms, APIs, and workflows
- Evaluating model, agent, and system behavior (accuracy, reliability, safety)
- Experience with vector databases and retrieval systems (RAG, hybrid retrieval patterns)
- Building and deploying REST services using Flask or FastAPI
- Experience working with cloud platforms (AWS, GCP, Azure) and AI Studios
Skills
- Strong hands-on experience with Large Language Models (LLMs).
- Deep understanding of Agents Agentic AI systemsincluding autonomous decisionmaking, tool/function calling, planning, and orchestration.
- Proficiency with prompting techniques, structured outputs, model routing, and context/memory management.
- Understanding of different model types:
- Proprietary (e.g., GPT-class)
- Open-weight models
- Embedding models
- Multimodal models
- Understanding of AI orchestration frameworks (conceptual level acceptable)
- Knowledge of model access and orchestration protocols such as Model Context Protocol (MCP) or similar abstraction layers
- Ability to design systems that:
- Switch models
- Route prompts
- Manage context, memory, and toolchains
- Experience evaluating GenAI systems (hallucinations, grounding, safety)
- Strong proficiency in Python.
- Experience with ML/AI frameworks such as:
- scikitlearn
- TensorFlow
- PyTorch
- Keras
- pandas
- Hands-on experience building RESTful APIs using Flask or FastAPI
Nice to Have
- Experience with LLM finetuning, parameterefficient tuning (LoRA/QLoRA)
- Familiarity with LangChain, LlamaIndex, Autogen, or OpenAI Assistants API
- Working knowledge of productiongrade MLOps (CI/CD, monitoring, observability)
- Experience with vector DBs like Pinecone, Chroma, Redis, Weaviate, or Milvus
- Understanding of security, compliance, and data governance for GenAI systems
Qualifications
Bachelors degree in engineering or related field or the equivalent combination of education, training, or work experience
Competencies
- Fluent in English
- Excellent communicator ability to discuss technical and commercial solutions to internal and external parties and adapt depending on the technical or business focus of the discussion.
- Attention to detail track record of authoring high quality documentation.
- Organized approach manage and adapt priorities according to client and internal requirements.
- Self-starter but team mindset - work autonomously and as part of a global team
Job Classification
Industry: BPM / BPOFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full timeContact Details:
Company: FISLocation(s): Pune
Keyskills: machine learning insurance trading rest mlops python restful ai llm artificial intelligence redis pandas tensorflow restful apis gcp recruitment compliance treasury pytorch data governance keras flask aws azure
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