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.
About Company
EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.
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