Machine Learning Engineer

About the Role:

We are looking for an experienced Machine Learning Engineer to design, build, and deploy ML models that power business-critical solutions. You will collaborate with cross-functional teams to deliver scalable ML systems, driving innovation and measurable business outcomes.

Key Responsibilities:

• Design, develop, and deploy ML models (regression, classification, clustering, deep learning).
• Build and optimize data pipelines, feature engineering, and training workflows.
• Deploy models to production using Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Monitor model performance, retrain, and maintain production-ready systems.
• Develop APIs and integrate ML solutions with enterprise applications.
• Stay updated on ML/AI trends and contribute innovative solutions.
• Collaborate with data scientists, engineers, and product managers to align with business goals.

Qualifications:

• 3+ years of experience in ML engineering or related field.
• Strong proficiency in

  Python

  ; knowledge of Java/Scala/R is a plus.
• Expertise with ML libraries/frameworks:

  scikit-learn, TensorFlow, PyTorch, Keras

  .
• Hands-on with data tools:

  Pandas, NumPy, Spark

  .
• Experience with ML deployment (SageMaker, Azure ML, GCP AI, TensorFlow Serving, TorchServe).
• Familiarity with databases (

  SQL, MongoDB, Cassandra

  ) and version control (

  Git

  ).
• Understanding of DevOps/MLOps practices.
• Excellent problem-solving, communication, and collaboration skills.