Senior Software Engineer / Assistant Team Lead - AI/ML

Requirements

Core Responsibilities:

Design, develop, and deploy machine learning models for production use.

Collaborate with cross-functional teams (Data Engineering, Product, and Software Development) to understand and solve complex business problems using AI/ML solutions.

Conduct data preprocessing, feature engineering, model selection, training, evaluation, and optimization.

Implement scalable ML pipelines using frameworks like TensorFlow, PyTorch, or Scikit-learn.

Monitor and maintain ML models post-deployment, ensuring performance and relevance.

Stay updated with the latest trends and research in artificial intelligence and machine learning, and integrate best practices into ongoing projects.

Qualification:

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

2–5 years of hands-on experience in AI/ML development.

Demonstrated experience in delivering production-grade machine learning solutions.

Required Skills:

Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.).

Strong understanding of data structures, algorithms, and model evaluation metrics.

Experience with NLP, computer vision, or recommendation systems is a plus.

Familiarity with data handling tools (Pandas, NumPy), databases (SQL/NoSQL), and cloud services (AWS, GCP, Azure).

Understanding of MLOps concepts and tools (e.g., MLflow, Docker, Kubernetes, CI/CD pipelines).

Excellent problem-solving, communication, and collaboration skills.