Job Description

Responsibilities

• Design and develop high-performing, scalable machine learning components using Python libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Perform data pre-processing, cleaning, feature engineering, and model selection for ML projects.
• Implement and train various machine learning models to address business challenges.
• Evaluate and optimize model performance using appropriate metrics and techniques.
• Integrate ML models into production environments using web frameworks like Django or Flask.
• Develop automated unit and integration tests for ML pipelines and applications.
• Conduct Proof-of-Concepts (POCs) on new ML algorithms and libraries.
• Collaborate with Data Scientists and engineers to ensure seamless integration of ML solutions into products.
• Contribute to the creation and maintenance of technical documentation for ML projects.

Skills & Qualifications

• Education: B.E./B.Tech./MCA or equivalent in Computer Science, Data Science, or a related field.
• Experience: Minimum 4 years as a Python Developer with a strong focus on Machine Learning.
• Technical Expertise:
  • Proficiency in Python programming and experience with popular ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with data manipulation libraries such as Pandas and NumPy.
  • Experience with model deployment frameworks like TensorFlow Serving and PyTorch Serving.
  • Understanding of model interpretability and visualization techniques.
  • Knowledge of cloud platforms (AWS, Azure, GCP) for ML model deployment is a plus.
• Soft Skills:
  • Strong analytical and problem-solving skills with a passion for Machine Learning.
  • Excellent communication and collaboration skills to work effectively in cross-functional teams.
• Tools: Experience with version control systems like Git.