Staff Machine Learning Engineer

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 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