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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 currently a Senior Machine Learning Engineer to join our team.
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).
Responsibilities
- Design, develop, and deploy machine learning models and algorithms for various applications, including NLP, computer vision, deep learning, and reinforcement learning.
- Build and maintain scalable ML pipelines for data processing, model training, and evaluation.
- 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.
- Collaborate with cross-functional teams to integrate machine learning models into production environments.
- Implement cloud-based solutions using AWS, Azure, or Google Cloud (GCP) for model deployment, monitoring, and optimization.
- Conduct experiments, evaluate models, and iterate on them based on performance metrics.
- Stay up-to-date with the latest research and advancements in machine learning
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field
- At least 5 years of experience as a Machine Learning Engineer, Data Scientist, or similar role
- 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
- Strong communication skills and the ability to work effectively in a collaborative team environment
- B2+ English level