ML Engineer

Job Summary:

We are looking for a skilled Machine Learning Engineer to design, build, and deploy intelligent models and algorithms that solve real-world problems. The ideal candidate will have strong analytical skills, programming expertise, and a deep understanding of machine learning principles and frameworks.

Key Responsibilities:

• Develop, train, and optimize machine learning and deep learning models.
• Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).
• Build scalable data pipelines and integrate ML models into production systems.
• Collaborate with data scientists, data engineers, and software developers to deploy solutions.
• Evaluate model performance using appropriate metrics and improve model accuracy.
• Research and implement new algorithms and tools for better efficiency and performance.
• Document processes, models, and results for reproducibility and transparency.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
• Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Experience with data manipulation tools (NumPy, Pandas) and visualization tools (Matplotlib, Seaborn).
• Good understanding of statistics, probability, and linear algebra.
• Experience with model deployment (using Flask, FastAPI, Docker, or cloud platforms like AWS, GCP, Azure).
• Familiarity with version control (Git) and CI/CD pipelines.

Preferred Skills:

• Experience with NLP, Computer Vision, or Generative AI.
• Knowledge of MLOps tools (MLflow, Kubeflow, Airflow).
• Exposure to big data technologies (Spark, Hadoop).

Job Types: Full-time, Permanent

Pay: ₹100,000.00 - ₹1,500,000.00 per year

Work Location: Remote