Machine Learning Engineer (Navi Mumbai)

Candidate Skill

Python, R, TensorFlow, PyTorch, Scikit-learn, MLflow, Kubeflow, Docker, Kubernetes, AWS SageMaker, GCP AI Platform, Airflow, Data Engineering, Model Deployment, NLP, Computer Vision, CI/CD, Git, Spark, Data Lake.

Experience

3 - 5 Years

City

Navi Mumbai, Ghansoli

Country

India

Job Description

We are looking for an experienced Machine Learning Engineer to design, build, and deploy intelligent ML solutions that power data-driven business decisions. The ideal candidate will have a strong background in machine learning algorithms, model deployment, and MLOps, with hands-on experience in Python and cloud-based ML platforms. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models for various business use cases. Implement and optimize data preprocessing, feature engineering, and model training pipelines. Collaborate with data scientists, engineers, and product teams to translate requirements into scalable ML solutions. Deploy models using MLOps frameworks (TensorFlow Serving, MLflow, Kubeflow, or SageMaker). Monitor model performance, retrain and tune models as required. Ensure high-quality documentation, reproducibility, and model governance compliance. Technical Skills: Languages: Python, R, SQL Frameworks/Libraries: TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras MLOps Tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes, Jenkins Cloud Platforms: AWS (SageMaker), Azure ML, or GCP AI Platform Data Handling: Pandas, NumPy, Spark, Hadoop (optional) Model Types: Classification, Regression, NLP, Computer Vision, Time Series Forecasting Databases: PostgreSQL, MySQL, MongoDB, BigQuery Version Control: Git, CI/CD pipelines Preferred Qualifications: Experience in productionizing ML models and building end-to-end ML pipelines. Familiarity with data lake architectures and real-time analytics. Understanding of feature stores and model monitoring tools. Solid problem-solving and analytical thinking skills. Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. Skills (One Line): Python, R, TensorFlow, PyTorch, Scikit-learn, MLflow, Kubeflow, Docker, Kubernetes, AWS SageMaker, GCP AI Platform, Airflow, Data Engineering, Model Deployment, NLP, Computer Vision, CI/CD, Git, Spark, Data Lake.