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Ml Ops
2 weeks ago
Blend of development and MLOPS skills
AWS Sagemaker expertise is must have
All code is in Python, some old code in Scala
Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph (for identity resolution)
Can understand the Sagemaker pipeline, and analyze gaps, and recommend/implement improvements
Can troubleshoot pipeline issues, look into Python code, reverse engineer it, debug it
Of course, need to know Machine Learning models and concepts.
Has some data engineering skills to look into Kafka, Chaossearch logs, SQL etc for basic troubleshooting
Future needs - expanding MLOPS into agentic AI framework, RAG Architecture etc
Similar tech landscape as ML engineer, but I expect this person to light on the engineering / troubleshooting part, and more on the model development
Traditional ML model development analysis, hypothesis testing, data preparation, model selection, validation and testing
Knowledge of Agentic AI framework, RAG setup, LLM selection, integration etc.
This could be two types of profiles, first with strong
**About Virtusa**
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
