The position is for an Associate Principal Engineer specializing in Machine Learning at Nagarro, a Digital Product Engineering company.
The candidate will have a total experience of 11+ years, with a strong focus on Machine Learning, particularly in NLP and AI-driven solutions.
The role requires expertise in Python and deep knowledge of frameworks such as TensorFlow, PyTorch, or JAX.
A strong grasp of NLP techniques, including tokenization, word embeddings, attention mechanisms, and transformers, is essential.
Hands-on experience with Generative AI techniques like GANs, VAEs, and Prompt Engineering is required.
The candidate should have a solid background in Computer Vision and familiarity with image processing tools like OpenCV.
Experience in deploying ML models to production and monitoring their performance in real-world environments is necessary.
Familiarity with vector databases (e.g., FAISS, Pinecone) and semantic search techniques is expected.
Proven leadership skills in managing data science teams, mentoring, and strategic delivery are crucial.
A strong knowledge of MLOps, DevOps, and scalable architecture patterns is required.
Excellent problem-solving, communication, and analytical skills are essential for this role.
Responsibilities include understanding functional requirements, envisioning overall solutions, implementing design methodologies, enabling application development, leading UAT and production rollouts, creating and validating work breakdown structures, addressing issues promptly, and providing constructive feedback to team members.
Requirements:
A Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field is required.
The candidate must have a total of 11+ years of experience in the field.
Strong working experience in Machine Learning with a focus on NLP and AI-driven solutions is necessary.
Expertise in Python and deep knowledge of TensorFlow, PyTorch, or JAX is required.
A strong grasp of NLP techniques, including tokenization, word embeddings, attention mechanisms, and transformers, is essential.
Hands-on experience with Generative AI techniques such as GANs, VAEs, and Prompt Engineering is required.
A solid background in Computer Vision and familiarity with image processing tools like OpenCV is necessary.
Experience in deploying ML models to production and monitoring them in real-world environments is expected.
Familiarity with vector databases (e.g., FAISS, Pinecone) and semantic search techniques is required.
Proven leadership skills in data science team management, mentoring, and strategic delivery are crucial.
Strong knowledge of MLOps, DevOps, and scalable architecture patterns is necessary.
Excellent problem-solving, communication, and analytical skills are essential.
Benefits:
The company offers a dynamic and non-hierarchical work culture.
Employees have the opportunity to work on inspiring, exciting, and delightful products, services, and experiences.
The position allows for collaboration with a global team of over 17,500 experts across 39 countries.
There are opportunities for professional growth and development within the organization.
The role provides a chance to lead and mentor teams in a cutting-edge technological environment.
