Must Have Technical/Functional Skills
• Develop, implement, and maintain machine learning models and algorithms.
• Perform exploratory data analysis and statistical modeling to identify trends and patterns.
• Design and build scalable data pipelines for ML applications.
• Collaborate with cross-functional teams to define problem statements and deliver data-driven solutions.
• Communicate complex analytical results clearly to technical and non-technical stakeholders.
• Proven experience in machine learning, statistical modeling, and data analysis.
• Proficiency in Python (e.g., scikit-learn, TensorFlow, PyTorch) and SQL.
• Experience with data manipulation libraries (e.g., Pandas, NumPy).
• Strong understanding of data structures, algorithms, and software development best practices.
• Excellent problem-solving skills and ability to work independently or as part of a team.
Roles & Responsibilities
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
• Experience with cloud platforms (AWS, Azure, GCP).
• Familiarity with big data technologies (e.g., Spark, Hadoop).
• Knowledge of MLOps principles and tools.

TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.