Key Responsibilities:
- Lead the design, development, and deployment of machine learning models across various business domains.
- Architect and implement end-to-end ML pipelines using AWS Sagemaker AI, MLflow for experiment tracking, model versioning, and lifecycle management.
- Oversee model training, tuning, and deployment using Amazon SageMaker AI, including Pipelines, Model Registry, and Model Monitor.
- Mentor and guide a team of data scientists, ensuring best practices in coding, experimentation, and documentation.
- Collaborate with engineering, product, and business teams to translate complex problems into data-driven solutions.
- Establish and enforce MLOps standards for reproducibility, scalability, and monitoring of ML models in production.
- Drive innovation by evaluating and integrating emerging tools and technologies in the ML ecosystem.
- Present findings and insights to senior leadership and stakeholders in a clear and actionable manner.
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Required Qualifications:
- 4+ years of experience in data science, with at least 2 years in a leadership or mentoring role.
- Proven expertise in MLflow and Amazon SageMaker for model management and deployment.
- Strong programming skills in Python and experience with ML libraries such as scikit-learn, TensorFlow, PyTorch.
- Deep understanding of machine learning algorithms, feature engineering, and model evaluation techniques.
- Experience with cloud platforms (preferably AWS) and containerization tools like Docker.
- Familiarity with CI/CD pipelines, data versioning, and monitoring tools.
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Preferred Skills:
- Experience with SageMaker Studio, SageMaker Pipelines, and SageMaker Clarify.
- Knowledge of feature stores, data governance, and responsible AI practices.
- Strong communication and leadership skills with the ability to influence across teams.
- Experience in deploying ML solutions in regulated industries (e.g., finance, healthcare) is a plus.

Keyskills: Data Scientist Machine Learning AWS Python
Coforge is a leading global IT solutions organization, enabling its clients to transform at the intersect of unparalleled domain expertise and emerging technologies to achieve real-world business impact. A focus on very select industries, a detailed understanding of the underlying processes of those...