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Senior Machine Learning Engineer

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bullets
Machine Learning Engineering, NLP Preprocessing, Prompt Engineering, Python, TensorFlow, Kubeflow, ML Architecture, AI & ML Strategy
bullets
Hyderabad, Bangalore, Pune, Chennai, Gurgaon

We are seeking a Senior Machine Learning Engineer to join our team.

In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms for various applications, including NLP, computer vision, deep learning, and reinforcement learning. You will work with large datasets, extract meaningful insights, and apply statistical analysis. Collaborating with cross-functional teams, you will integrate machine learning models into production environments and implement cloud-based solutions using AWS, Azure, or Google Cloud (GCP) for model deployment, monitoring, and optimization.

Responsibilities
  • Design, develop, and deploy machine learning models and algorithms for various applications
  • Build and maintain scalable ML pipelines for data processing, model training, and evaluation
  • Collaborate with cross-functional teams to integrate machine learning models into production environments
  • Utilize machine learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn to build and fine-tune models
  • Work with large datasets to extract meaningful insights and apply statistical analysis
  • Implement cloud-based solutions using AWS, Azure, or Google Cloud (GCP) for model deployment, monitoring, and optimization
  • Stay up-to-date with the latest research and advancements in machine learning, deep learning, NLP, and other AI technologies
  • Conduct experiments, evaluate models, and iterate based on performance metrics
Requirements
  • Experience of 5+ years as a Machine Learning Engineer, Data Scientist, or similar role
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field
  • Strong expertise in machine learning, deep learning, neural networks, NLP, computer vision, or reinforcement learning
  • Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn
  • Hands-on experience with cloud computing platforms like AWS, Azure, or Google Cloud (GCP)
  • Solid understanding of data preprocessing, feature engineering, and model evaluation
  • Experience with building and deploying machine learning models in production environments
  • Excellent problem-solving skills, critical thinking, and attention to detail
  • B2+ English level proficiency