Responsibilities:

·        Design, develop, and deploy machine learning AI solutions.

·        Collaborate with data scientists, software engineers, and product managers to integrate AI capabilities into applications.

·        Operationalize AI and GenAI models, ensuring scalability, reliability, and performance.

·        Design and implement GenAI solutions on cloud platforms such as Azure and AWS.

·        Conduct experiments, analyze results, and iterate on models to improve performance.

·        Stay current with advancements in AI/ML technologies and best practices.

Skills:

·        Proficiency in cloud platforms such as AWS, Azure, or Google Cloud.

·        Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation.

·        Knowledge of containerization and orchestration tools like Docker and Kubernetes.

·        Experience with DevOps principles, automation and CI/CD

·        Proficiency in programming languages such as Python,

·        Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.

·        Experience in building single agent and multi agent systems (agentic systems)

·        Experience with genAI orchestration framework such LangChain, LangGraph,crewAI, etc.

·        Experience with governance, observability and evaluation tools (e.g. langfuse, langsmith)

·        Knowledge of cloud platforms and services for AI/ML, including Azure Machine Learning, AWS SageMaker, and Google AI Platform.

·        Familiarity with data preprocessing, feature engineering, and model evaluation techniques.

·        Understanding of deep learning, natural language processing, and computer vision.

·        Strong problem-solving skills and attention to detail.

Qualifications:

·        Bachelor’s degree in Computer Science, Data Science, or a related field.

·        7+ years of experience in Machine Learnig, AI, related field