AI/ML Engineer with 3+ years of hands-on experience
to join our growing team. In this role, you will design and implement machine learning models and AI solutions to solve real-world business problems. You will collaborate closely with cross-functional teams to build and deploy scalable, production-ready ML systems.
Responsibilities:
Develop and optimize machine learning models for classification, regression, recommendation, or forecasting tasks.
Work with data scientists and data engineers to process, clean, and analyze large datasets.
Build end-to-end ML pipelines -- from data ingestion to model training and deployment.
Evaluate model performance using appropriate metrics and fine-tune for improved results.
Deploy models to production using cloud services or on-premises infrastructure.
Maintain and monitor model performance over time; implement retraining strategies as needed.
Document models, workflows, and experiments.
Stay up-to-date with the latest research and industry trends in AI and ML.
Requirements:
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or related field.
3+ years of experience working with machine learning and data science projects.
Proficiency in Python and libraries such as scikit-learn, Pandas, NumPy, TensorFlow and/or PyTorch.
Strong grasp of ML fundamentals: supervised/unsupervised learning, model evaluation, cross-validation, etc.
Experience deploying models via REST APIs, Docker, or cloud platforms like AWS/GCP/Azure.
Familiarity with version control (Git), experiment tracking tools (e.g., MLflow), and basic MLOps concepts.
Nice to Have:
Exposure to NLP or computer vision projects.
Experience with cloud-native ML services (e.g., SageMaker, Vertex AI, Azure ML).
Understanding of CI/CD pipelines for ML.
Knowledge of SQL and working with relational databases or data warehouses.
Contributions to open-source projects or ML competitions (e.g., Kaggle).
Soft Skills:
Excellent problem-solving and analytical thinking.
Ability to work independently and collaborate in a fast-paced environment.
Strong communication skills for sharing technical ideas with cross-functional teams.
Job Types: Full-time, Permanent
Pay: ₹263,136.67 - ₹667,650.30 per year
Work Location: In person
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