In this role as a Senior Gen AI Data Scientist in the Transformation team you will collaborate with data scientists and stakeholders to understand business requirements and translate them into machine learning and generative AI solutions Responsibilities may include the following and other duties may be assigned Design develop and implement machine learning models and algorithms to solve complex business problems Use software design principles to develop production ready code Collect preprocess and analyze large datasets to train and evaluate machine learning models Optimize and fine-tune machine learning models for performance and accuracy Deploy machine learning models into production environments and monitor their performance Develop processes and tools to monitor and analyze model performance and data accuracy Stay up to date with the latest advancements in machine learning and apply them to improve existing models and algorithms Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows Document and communicate machine learning solutions methodologies and results to technical and non-technical stakeholders Mentor and provide guidance to junior Gen AI Data Scientists Required Knowledge and Experience Robust understanding of ML algorithms and techniques supervised unsupervised learning deep learning Deep knowledge in NLP Computer Vision and GenAI including architectures like Transformers BERT GPT 7 years of industry experience in writing production level scalable code e g in Python 7 years of industry experience with popular ML frameworks such as PyTorch Scikit-learn NLTK Hugging Face Transformers and others e g Langchain Lang Graph 5 years of industry experience with distributed computing frameworks such as PySpark 5 years of experience with full-stack web development using either Python backend React frontend or AI builders like replit com lovable dev builder io 5 years of experience in building and scaling Generative AI applications vector DB Agentic and RAG applications Experience in deploying monitoring finetuning evaluating LLM VLM models and building AI agents 5 years of industry experience with major cloud computing services like AWS or Azure or GCP Bachelors or Masters degree in a quantitative field Computer Science Engineering Statistics Mathematics or related field Preferred Qualifications Ph D in Computer Science Software Engineering Electrical Engineering or related fields Proficient in containerization services Proficient in Bedrock or Databricks ML to deploy the models Experience with orchestration tools and CICD framework Experience in deploying and scaling open source LLM Models 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

📌 Senior Data Scientist (Tamil Nadu)
🏢 Virtusa
📍 Tamil Nadu