Must Have Skills: Terraform (Capable), Docker (Strong), Python (Strong), TensorFlow, LangChain
Responsibilities:
- Design, develop, and deploy machine learning and 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 frameworks like LangChain, LangGraph, crewAI, etc.
- Experience with governance, observability, and evaluation tools (e.g., langfuse, langsmith).
- Knowledge of cloud 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 Learning or AI-related fields.
- Banking experience is a plus.
Remote Work: No
Employment Type: Full-time