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.

In this position, 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

Develop, design, and implement machine learning models and algorithms for diverse applications
Construct and manage scalable ML pipelines for data handling, model training, and assessment
Employ machine learning frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn to develop and optimize models
Analyze large datasets to derive valuable insights and perform statistical analysis
Partner with interdisciplinary teams to incorporate machine learning models into operational settings
Deploy cloud-based solutions utilizing AWS, Azure, or Google Cloud (GCP) for model deployment, monitoring, and enhancement
Perform experiments, assess models, and refine them based on performance indicators

Requirements

8 to 12 years of experience as a Machine Learning Engineer, Data Scientist, or in a comparable role
Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field
Strong knowledge in machine learning, deep learning, neural networks, NLP, computer vision, or reinforcement learning
Proficiency with Python and machine learning libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn
Experience in cloud computing platforms like AWS, Azure, or Google Cloud (GCP)
Solid familiarity with 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