HamburgerMenu
hirist

Netradyne - Senior Staff Machine Learning Engineer

Posted on: 19/11/2025

Job Description

ROLE AND RESPONSIBILITIES :

You will be embedded within a team of machine learning engineers and data scientists; responsible for building and productizing generative AI and deep learning solutions.


You will :

- Design, develop, and evaluate generative AI models for vision and data science tasks.

- Collaborate with cross-functional teams to integrate AI-driven solutions into business operations.

- Build and enhance frameworks for automation, data processing, and model deployment.

- Develop and deploy AI agents, including Retrieval-Augmented Generation (RAG) systems.

- Utilize Gen-AI tools and workflows to improve the efficiency and effectiveness of AI solutions.

- Conduct research and stay updated with the latest advancements in generative AI and related technologies.

REQUIREMENTS :

- B. Tech, M. Tech or PhD in computer science, electrical engineering, statistics or math (From IIT's or IISC)

- At least 8 years of working experience in data science, computer vision, or related domain.

- Proven experience with building and deploying generative AI solutions.

- Strong programming skills in Python and solid fundamentals in computer science, particularly in algorithms, data structures, and OOP.

- Experience with Gen-AI tools and workflows.

- Proficiency in both vision-related AI and data analysis using generative AI.

- Experience with cloud platforms and deploying models at scale.

- Experience with transformer architectures and large language models (LLMs).

- Familiarity with frameworks such as TensorFlow, PyTorch, and Hugging Face.

- Proven leadership and team management skills.

DESIRED SKILLS :

- Working experience with AWS is a plus.

- Knowledge of best practices in software development, including version control, testing, and continuous integration.

- Working knowledge of common industry frameworks and tools around building LLMs, such as OpenAI, GPT, BERT, etc.

- Experience with MLOps tools and practices for continuous deployment and monitoring of AI models.

info-icon

Did you find something suspicious?