AI/ML Engineer (Associate)

About the role

We are looking to transition our high-performing interns into full-time Associate AI/ML Engineers. As an M.Tech graduate, we expect you to bring a strong theoretical foundation to our R&D team, helping us bridge the gap between academic research and production-grade AI solutions.

Responsibilities

• Model Development: Design, train, and fine-tune Machine Learning and Deep Learning models (LLMs, NLP, Computer Vision) for real-world business use cases.
• Research to Production: Read and implement state-of-the-art research papers, translating theoretical concepts into working prototypes and scalable APIs.
• Data Engineering: Collaborate with the data team to build efficient pipelines for data cleaning, pre-processing, and augmentation.
• Optimization: Analyze model performance and optimize for latency, accuracy, and resource efficiency.
• Documentation: Maintain detailed documentation of experiments, model architectures, and results.
• Educational qualification:
• Master's degree in computer science, IT, or related field.
• Required Skills:
• Education: M.Tech in Computer Science, AI, Data Science, or related fields.
• Programming: Proficiency in Python and familiarity with C++ or Java.
• Frameworks: Hands-on experience with PyTorch, TensorFlow, Keras, or Scikit-learn.
• Knowledge: Strong understanding of algorithms, data structures, probability, and linear algebra.
• Prior Experience: Successful completion of an internship with [Company Name].

Requirements

• Published research papers or contributions to open-source AI projects.
• Experience with Cloud AI platforms (AWS SageMaker, Azure AI, or GCP).
• Master's degree in computer science, IT, or related field.

Benefits

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Company Intel

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