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.

Key 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].

Preferred Qualifications:

• 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.