AI/ML Engineer

Job Summary:

We are looking for a passionate and skilled AI/ML Engineer with a minimum of 2 years of hands-on experience in building, training, and deploying machine learning models. The ideal candidate should have strong problem-solving abilities, experience with end-to-end ML pipelines, and the ability to work collaboratively with cross-functional teams.

Key Responsibilities:

• Develop, train, and optimize machine learning and deep learning models for real-world applications.
• Build scalable data pipelines and preprocess large datasets for AI/ML use cases.
• Work with cross-functional teams to gather requirements and convert them into ML-based solutions.
• Deploy ML models in production environments using MLOps practices and tools.
• Conduct research to enhance existing models and explore new algorithms/techniques.
• Monitor model performance and improve accuracy, scalability, and reliability.
• Create detailed documentation for models, workflows, and development processes.

Required Skills & Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Data Science, AI/ML, or related field.
• 2+ years of hands-on experience in ML, AI, or Data Science roles.
• Strong knowledge of Python and related ML libraries: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc.
• Experience in building and training ML/DL models such as classification, regression, NLP, computer vision, or recommendation systems.
• Good understanding of data preprocessing, feature engineering, and model evaluation metrics.
• Experience with ML deployment tools like Docker, Flask/FastAPI, Kubernetes, Azure/AWS/GCP ML services is a plus.
• Knowledge of SQL/NoSQL databases.
• Familiarity with Git and version control workflows.