AI/ML

AI/ML Engineer to develop, train, evaluate, and deploy artificial intelligence and machine learning solutions. The ideal candidate should have strong Python programming skills, knowledge of machine learning algorithms, data processing, statistical concepts, and model development.

The candidate will collaborate with data scientists, data engineers, software developers, and business teams to build AI-powered applications and data-driven solutions. Responsibilities include preparing datasets, performing feature engineering, training and evaluating models, improving model performance, and integrating models into applications through APIs or production pipelines.

The role may involve deep learning, natural language processing, computer vision, generative AI, and large language model applications. The candidate may also contribute to model deployment, experiment tracking, performance monitoring, and MLOps workflows to ensure solutions are reliable, scalable, and maintainable.

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

• 2–5+ years of experience in AI/ML engineering, machine learning, or a related technical role.

• Strong programming knowledge in Python and familiarity with SQL.

• Understanding of supervised and unsupervised learning, statistical modeling, and model evaluation.

• Experience with Scikit-learn, TensorFlow, PyTorch, or similar ML libraries.

• Knowledge of data preprocessing, feature engineering, and model validation.

• Familiarity with deep learning, NLP, computer vision, or generative AI.

• Understanding of REST APIs, model deployment, and production ML pipelines.

• Familiarity with AWS, Azure, or Google Cloud Platform.

• Knowledge of Git, Docker, CI/CD, and MLOps fundamentals.

• Strong analytical, mathematical, communication, and problem-solving skills.