AI and ML Engineer

3 years

2 - 6 Lacs

Posted:2 weeks ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Role:

We are seeking a skilled and motivated 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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