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Key Responsibilities:
Develop & Optimize AI/ML Solutions: Build and deploy LLMs, RAG, Agentic AI, and GenAI applications.
ML Pipeline Development: Implement and automate scalable ML pipelines using MLflow, AWS SageMaker, Databricks, and PySpark.
MLOps Implementation: Establish CI/CD workflows, model versioning, monitoring, and automated retraining.
Cloud & Infrastructure: Leverage AWS AI/ML services (Sagemaker, Bedrock, Lambda, Step Functions, ECS/EKS) for scalable AI solutions.
Data Engineering with PySpark: Optimize large-scale ETL workflows, data pipelines, and distributed data processing.
LLMs & RAG Applications: Fine-tune and deploy LLMs integrated with vector databases (FAISS, Pinecone, ChromaDB).
NLP & Deep Learning: Work with transformers, embeddings, multi-modal AI models, and text processing frameworks.
Orchestration & Containerization: Deploy and manage AI workloads using Kubernetes (EKS), Docker, and CI/CD pipelines.Senior Data Engineer with special emphasis and experience of 10 to 12 years of IT and 6 to 8 years of experience on Artificial Intelligence, Deep learning and Machine Learning.
bachelor degree in computer science engineering or related field.
Able to Lead AI/ML team and working closely with all the team members and client.
Strong Hands on Experience on Python coding and all the python and Data science libraries.
Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy.
Understand company and client challenges and how integrating AI capabilities can help lead to solutions
As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products.
Hands on experience on all AWS service.
Lead cross-functional teams in identifying and prioritizing key areas of a partner business where AI solutions can drive significant business benefit
Analyse and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Strong Hands-on experience on SQL queries, CICD Pipelines, Kubernetes etc.,
Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP, and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG), Agentic AI, and MLOps to develop scalable and production-ready AI solutions.
Key Responsibilities:
Develop & Optimize AI/ML Solutions: Build and deploy LLMs, RAG, Agentic AI, and GenAI applications.
ML Pipeline Development: Implement and automate scalable ML pipelines using MLflow, AWS SageMaker, Databricks, and PySpark.
MLOps Implementation: Establish CI/CD workflows, model versioning, monitoring, and automated retraining.
Cloud & Infrastructure: Leverage AWS AI/ML services (Sagemaker, Bedrock, Lambda, Step Functions, ECS/EKS) for scalable AI solutions.
Data Engineering with PySpark: Optimize large-scale ETL workflows, data pipelines, and distributed data processing.
LLMs & RAG Applications: Fine-tune and deploy LLMs integrated with vector databases (FAISS, Pinecone, ChromaDB).
NLP & Deep Learning: Work with transformers, embeddings, multi-modal AI models, and text processing frameworks.
Orchestration & Containerization: Deploy and manage AI workloads using Kubernetes (EKS), Docker, and CI/CD pipelines.Senior Data Engineer with special emphasis and experience of 10 to 12 years of IT and 6 to 8 years of experience on Artificial Intelligence, Deep learning and Machine Learning.
bachelor degree in computer science engineering or related field.
Able to Lead AI/ML team and working closely with all the team members and client.
Strong Hands on Experience on Python coding and all the python and Data science libraries.
Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy.
Understand company and client challenges and how integrating AI capabilities can help lead to solutions
As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products.
Hands on experience on all AWS service.
Lead cross-functional teams in identifying and prioritizing key areas of a partner business where AI solutions can drive significant business benefit
Analyse and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Strong Hands-on experience on SQL queries, CICD Pipelines, Kubernetes etc.,
Key job details
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 is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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