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.
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