ai ml

The AI Lead Developer is responsible for architecting designing and developing advanced AI ML solutions that power intelligent applications and data driven capabilities This role leads the end to end lifecycle of AI development including research model design training deployment monitoring and optimization while guiding a team of engineers and collaborating closely with product data and business stakeholders The AI Lead Developer ensures scalable ethical and production grade AI implementations

Key Responsibilities

AI ML Architecture Development

Architect design and develop machine learning and deep learning models for various use cases NLP CV LLMs recommendation systems predictive analytics etc

Implement end to end AI pipelines including data processing feature engineering model training evaluation and deployment

Build scalable and efficient model inference systems using microservices APIs or distributed frameworks

Optimize models for performance accuracy fairness and cost efficiency

Technical Leadership

Lead a team of AI ML engineers and data scientists oversee technical direction and code quality

Provide mentorship conduct code reviews and establish best practices for AI development

Collaborate with architects and tech leadership to define AI strategy standards and roadmaps

MLOps Deployment

Implement ML operationalization pipelines including model versioning CI CD for ML automated retraining and monitoring

Work with DevOps and Cloud teams to deploy models to AWS Azure or GCP using tools like SageMaker Vertex AI or Azure ML

Ensure robust monitoring of model drift data drift performance metrics and reliability

Research Innovation

Evaluate and incorporate emerging AI technologies transformers LLMs Diffusion models vector databases RAG etc

Conduct experimentation and POCs to determine feasibility of new AI solutions

Stay updated with cutting edge AI research frameworks and best practices

Collaboration Stakeholder Engagement

Work closely with product managers data teams and business stakeholders to define AI requirements and translate them into technical solutions

Communicate complex AI concepts in clear actionable terms for non technical audiences

Drive AI adoption and provide thought leadership across the organization

Required Skills Qualifications

Bachelor s or Master s degree in Computer Science Data Science AI ML or equivalent field

6 12 years of software AI engineering experience including

Strong hands on experience building ML DL models using Python TensorFlow PyTorch Scikit learn Transformers or similar frameworks

Proven experience in designing and deploying AI solutions at scale

Strong expertise in

NLP LLMs Computer Vision or Predictive Modeling based on role focus

Data engineering concepts ETL data pipelines data quality

Experience with cloud based ML platforms AWS Azure Google Cloud

Proficiency with MLOps tools MLflow Kubeflow Airflow Docker CI CD

Strong understanding of distributed systems microservices and API development

Excellent communication and leadership skills

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.