Description

Key Skills: Python, Machine Learning, Data Engineering, Computer Vision, SQL, JavaScript, Docker, Apache Kafka, Natural Language Processing, Flask

Good to Have Skills: Java, C, HTML, CSS, React, MySQL, MongoDB, Git, GitHub, VS Code, IntelliJ, Anaconda, OOP, RESTful APIs, Agile Methodology, Model Training and Evaluation, Sentiment Analysis, Prompt Engineering, Streamlit, Pandas, NumPy, scikit-learn, Hugging Face, Grafana, Prometheus, Loki, ChromaDB, REST APIs. Experience with solution hosting platforms like MiDAS, Modanna, and Codemate is beneficial.

Roles & Responsibilities:

• Design, build, and deploy scalable machine learning models and data pipelines that enhance features, system, and software development processes.
• Create, optimize, and deploy AI models including computer vision, sensor fusion, and predictive maintenance onto embedded automotive hardware.
• Implement solutions for enterprise AI and understand solution hosting platforms such as MiDAS, Modanna, and Codemate.
• Understand and curate engineering data to make organizational data accessible, high-quality, secure, and AI-ready.
• Design pipelines, curate datasets, maintain data standards, and ensure every AI use case has the right data behind it.

Experience Required: 8-10 years

Education: B.E

Key Skills

Education

Any Graduate