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 seeking a Lead Machine Learning Engineer to join our team.

In this capacity, you will design, develop, and implement machine learning models and algorithms for various applications, such as NLP, computer vision, deep learning, and reinforcement learning.

Responsibilities

Design and implement machine learning models and algorithms for diverse applications
Construct and manage scalable ML pipelines for data handling, model training, and evaluation
Employ machine learning frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn to develop and refine models
Analyze large datasets to derive meaningful insights and conduct statistical analysis
Partner with interdisciplinary teams to integrate machine learning models into operational settings
Develop cloud-based solutions on platforms such as AWS, Azure, or Google Cloud (GCP) for model deployment, monitoring, and optimization
Perform experiments, assess models, and refine them based on performance indicators

Requirements

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