Education: Bachelor's or master's degree in computer science, Machine Learning, Data Science, or a related field.
Experience:
Proven experience in developing machine learning models and systems.
Proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
Strong programming experience with Rust.
Hands-on experience with data analysis, statistical modeling, and data preprocessing.
Skills:
Expertise in data science and machine learning algorithms (e.g., supervised/unsupervised learning, deep learning, reinforcement learning).
Solid understanding of distributed computing and data processing frameworks (e.g., Spark, Hadoop).
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes).
Knowledge of model evaluation, tuning, and deployment practices.
Experience with version control systems (e.g., Git) and CI/CD pipelines.
Preferred Qualifications
Experience with reinforcement learning and advanced optimization techniques.
Familiarity with Rust-based data processing libraries and frameworks.
Understanding of scalable system architecture and performance tuning.
Strong mathematical background in linear algebra, probability, and optimization.
Knowledge of MLOps practices for maintaining and scaling production systems.
Prior experience in high-stakes domains such as finance, healthcare, or autonomous systems.
The pay range for this role is $100,000 - $130,000* per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.