Ai ML Engineer

Virtusa
Department Icon Data Science Analytics & Machine Learning
Posted: 3 days ago
7-10 years
Hyderabad, Chennai, Bengaluru
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 9 Jan 2027
Posted: 3 days ago
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Job Description
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Job Description

  • Experience in implementing real projects using Gen AI, Fine tuning LLMs , RAG.
  • Experience in implementing enterprise level Agentic solution using any of the open frameworks (Langgraph, Google ADK, CrewAI, etc.)
  • Understanding of Both Opensource and Open AI LLMs and RAG architecture
  • Experience with vector databases / embeddings.
  • Experience in Document AI / OCR / extraction solutions and structured output creation
  • Exposure implementing multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLP
  • Familiarity with NLP literature, thrust areas, conference venues, and code repositories
  • Familiarity with UI tools like Streamlit, flask etc , FAST APIs , Rest APIs , Docker containers 
  • Proficiency in Python, pytorch , SQL and other programming languages for data analysis and modeling with atleast 3+ years of experience.
  • Proficiency in libraries such as OpenAI API
  • Proficiency with cloud development environments such as Azure, AWS, and GCP
  • Proven good grasp of using LLMs, Deploying LLMs
  • Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions

Skills

PythonArtificial IntelligenceDockerMlGenerationPerformanceRestPythonData AnalysisDeep LearningMachine LearningFlaskAiSqlLlmsGen AiRagFine TuningEmbeddingsOpenaiOpenai ApiLanggraphCrewaiAgenticPytorchNlpDocument AiOcrMl EngineerAi MlMl

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About Company

Virtusa is a global IT services and digital engineering company. We help our clients transform their businesses by leveraging cutting-edge technologies and a deep understanding of their industries. We provide a wide range of services, including digital strategy, application modernization, cloud enablement, and data analytics.

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