Lead 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 looking for a Lead Machine Learning Engineer to enhance our team.

This position entails the design, development, and deployment of machine learning models and algorithms across various domains, such as NLP, computer vision, deep learning, and reinforcement learning.

Responsibilities

Design machine learning models and algorithms for diverse applications
Maintain scalable ML pipelines for data processing, model training, and evaluation
Employ machine learning frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn for model building and tuning
Analyze large datasets to derive insights and perform statistical analysis
Partner with cross-functional teams to incorporate machine learning models into production settings
Deploy cloud-based solutions via AWS, Azure, or Google Cloud (GCP) for model deployment, monitoring, and optimization
Perform experiments, assess models, and refine them based on performance metrics

Requirements

8 to 12 years of experience in roles such as Machine Learning Engineer, Data Scientist, or similar
Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related fields
Strong proficiency in machine learning, deep learning, neural networks, NLP, computer vision, or reinforcement learning
Proficiency in Python and machine learning libraries like TensorFlow, PyTorch, Keras, or Scikit-learn
Experience with cloud computing platforms including AWS, Azure, or Google Cloud (GCP)
Solid knowledge of data preprocessing, feature engineering, and model evaluation
Background in building and deploying machine learning models in production environments
Excellent problem-solving skills, critical thinking, and attention to detail
B2+ English level proficiency