Senior Machine Learning Engineer

Machine Learning Engineering, NLP Preprocessing, Prompt Engineering, Python, TensorFlow, Kubeflow, ML Architecture, AI & ML Strategy

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