Senior Staff Machine Learning Engineer @ Netradyne

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
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