Senior Staff Machine Learning Engineer

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