Job Description

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 deploy production ready scalable solutions that utilizes GenAI, Traditional ML models, Data science and ETL pipelines Collaborate with cross-functional teams to integrate AI-driven solutions into business operations. Build and enhance frameworks for automation, data processing, and model deployment. 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. Deliver key product features within cloud analytics. Requirements: Tech, M. Tech or PhD in computer science, electrical engineering, statistics or math. At least 5 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, Azure AI tools is a plus. Technologies such as: Kafka streams, Queues, Rest API systems. Programing language: Python, SQL, C++ (good to have) Tools: Pytorch, FastAPI, MLFlow, Hugging face pipelines, Langgraph, OpenAI Knowledge of best practices in software development, including version control, testing, and continuous integration