Job Summary

As a Senior Technical Specialist in Machine Learning, you will play a pivotal role in conceptualizing, designing, and delivering high-impact solutions that enhance our product offerings. Your expertise will guide the team to adopt industry-leading practices, ensuring the alignment of our solutions with client needs while fostering innovation and excellence in technology.

Key Responsibilities

 Key Responsibilities

• Design and automate end-to-end ML pipelines (CI/CD, CT) for training, evaluation, and deployment.
• Productionize ML models into clean, modular, and maintainable codebases.
• Implement versioning and governance practices for data, code, and models.
• Monitor model performance, data drift, and system reliability.
• Collaborate with cross-functional teams to deliver scalable ML solutions.

Must-Have Skills

• Minimum 6 years of experience in ML Engineering or MLOps.
• Strong proficiency in Python and SQL.
• Experience with Apache Spark or similar frameworks for large-scale data processing.
• Hands-on experience with CI/CD tools (e.g., Azure DevOps).
• Familiarity with MLOps frameworks, model registries, and experiment tracking.
• Proficient in Git for version control.

Nice-to-Have Skills

• Experience with Docker, Kubernetes, and ML monitoring tools.
• Solid understanding of ML algorithms (e.g., regression, classification, clustering).
• Familiarity with libraries such as scikit-learn and pandas.
• Ability to translate business requirements into technical solutions.

Skill Requirements

1. Expert Proficiency In Machine Learning Frameworks Such As Tensorflow And Pytorch.
2. Advanced Knowledge Of Python And Sql For Developing Data-Driven Solutions.
3. Strong Understanding Of Data Modeling, Feature Engineering, And Algorithm Selection In Machine Learning Projects.
4. Excellent Problem-Solving Skills And Ability To Articulate Complex Technical Concepts To Non-Technical Stakeholders.
5. Proven Experience In Leading Technical Teams And Mentoring Junior Professionals.

Other Requirements

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