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 in search of a Lead Machine Learning Engineer to enhance our team.

You will take charge of creating, building, and implementing machine learning models and algorithms across various domains, such as NLP, computer vision, deep learning, and reinforcement learning.

Responsibilities

Create, build, and implement machine learning models and algorithms across various domains
Construct and manage scalable ML pipelines for data processing, model training, and evaluation
Employ machine learning frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn to develop and optimize models
Analyze large datasets to derive meaningful insights and perform statistical analysis
Partner with cross-functional teams to incorporate machine learning models into production settings
Deploy cloud-based solutions using 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 a relevant field
Strong expertise in areas like machine learning, deep learning, neural networks, NLP, computer vision, or reinforcement learning
Proficiency in Python and libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn
Experience with cloud computing platforms including AWS, Azure, or Google Cloud (GCP)
Solid understanding of data preprocessing, feature engineering, and model evaluation
Experience in building and deploying machine learning models in production settings
Excellent problem-solving capabilities, critical thinking, and attention to detail
B2+ English level proficiency