Design and implement AI solutions that drive business value and meet specific analytics requirements.
Requirements
- 3-5+ years of machine learning experience with various regression, classification, and outlier detection models using structured and unstructured data.
- 3-5+ years of demonstrable proficiency in Python programming and experience with popular AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
- 3+ years of hands-on experience with AWS AI services, particularly SageMaker, Bedrock and familiarity with other AWS services (e.g., S3, Lambda, EC2).
- 3+ years of experience in Python for data skills and knowledge of the Python ecosystem for AI tools.
- Strong understanding of machine learning algorithms, data structures, and software engineering principles.
- Implement best practices for model training, validation, and deployment, including version control and CI/CD, MLOps pipelines.
- Stay up to date with the latest advancements in AI/ML technologies and AWS services and apply this knowledge to improve existing systems and processes.
Responsibilities
- Architect, design, and implement machine learning and agentic AI applications using Python and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Leverage AWS AI services (such as SageMaker, Bedrock, Comprehend, and Lex) to build robust and efficient AI solutions.
- Design & develop multi agent workflows leveraging context engineering best practices, Tools and MCP protocols.
- Collaborate with technical teams and architects to provide functional inputs for system design and implementation, ensuring alignment with business goals.
- Work closely with Solution Architects, Dev Leads, data SMEs and data engineers to establish repeatable data preparation processes in line with MLOps principles.
- Guide domain/business data scientists in selecting appropriate analytics models, algorithms, and recipes for various use cases.
- Conduct data preprocessing, feature engineering, and model evaluation to ensure high-quality outputs.
Other
- Collaborate with business stakeholders to determine precise analytics requirements and translate them into scalable and effective AI solutions.
- Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
- Strong communication skills, experimentation mindset with the ability to explain complex technical concepts to non-technical stakeholders.
- Mentor and support team members and junior resources, providing guidance on best practices, tools, and methodologies in AI/ML.
- 3-5+ years of proven experience as a Sr. AI/ML Engineer or similar role, with a strong portfolio of AI solutions.
