Sr. Software Engineer - Ai / Ml ( Data Scientist & Python)
- KLA
- 5 - 8 years
- Chennai
- 30 days ago
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Job Description
- Innovation: We embrace new technologies and encourage experimentation to solve complex business problems.
- Ownership: Every team member is empowered to take initiative and drive projects from concept to production.
- Transparency: We foster open communication, regular knowledge sharing, and inclusive decision-making.
- Continuous Learning: We support professional development through certifications, tech talks, and hands-on learning.
- Impact: Our work directly influences enterprise-wide initiatives, from customer experience to operational efficiency.
Youll be joining a team that believes inbuilding with purpose, where engineering excellence meets data-driven strategy.
Key Responsibilities
- Design and deliver LLM-powered applications such as:
- Retrieval-Augmented Generation (RAG) with enterprise knowledge sources
- Agentic workflows (tool/function calling, orchestration, multi-step reasoning)
- Text extraction/summarization, classification, Q&A, and document intelligence
- Build and optimize retrieval pipelines: chunking strategies, embeddings, vector search, reranking, grounding, and evaluation.
- Create robust evaluation frameworks: golden datasets, automated scoring, offline/online A/B testing, and continuous regression testing for prompts/models.
Required Qualifications
- Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience).
- 6+ years experience in software engineering, ML engineering, or applied AI roles.
- Strong programming expertise in Python, solid SQL, and strong software engineering fundamentals (APIs, testing, CI/CD, code quality).
- Demonstrated experience building and deploying AI/ML systems into production with measurable outcomes.
- Hands-on experience building LLM applications (RAG/agents/tool calling) and implementing evaluation/monitoring practices.
- Experience with vector databases search (e.g., Azure AI Search or equivalent), rerankers, and embedding lifecycle management.
- Familiarity with Responsible AI practices: privacy, security reviews, model risk management, bias/fairness, and explainability.
Core Technical Skills
- LLM Apps: RAG, agents, tool/function calling, prompt engineering, evaluation harnesses, guardrails
- Languages: Python (required), SQL (required)
- Cloud: Azure (deployments, security, observability, CI/CD)
- Ops: Monitoring, incident response, SLO/SLA management, cost optimization
- Data: ETL/ELT, distributed processing concepts, data quality frameworks
Minimum Qualifications
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years
Swing Shift - 2-11pm
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Data warehouse Architect / ConsultantEmployement Type: Full timeContact Details:
Company: KLALocation(s): Chennai
Keyskills: software engineer risk management python regression testing ai llm elt sql incident response analytics data quality apis regression data scientist software engineering etl programming ml azure customer experience
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