AI/ML Engineer I
Designs, develops, and deploys production computer-vision/ML solutions for retail at Everseen — owning ML components, running and presenting experiments, and moving models from research to production using Python, C++/CUDA, PyTorch, OpenCV, and Docker/Kubernetes on real-time video pipelines.
- Compensation
- Not disclosed
- Location
- Pune, India
- Work setup
- Onsite
- Seniority
- Junior
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 1-3 years in a similar role managing complex technical projects
- Deep understanding of ML algorithms, tuning, training and evaluation procedures
- Ability to design experiments, analyse and present results
- Strong practical problem-solving skills
- Strong analytical skills, able to identify trends and make data-driven decisions
- Strong data analysis and statistical reasoning
- Capable of implementing algorithms and solutions presented in papers
- Capable of expanding on experimental results presented by others
- Experience moving models from research to production (latency, scalability)
- Maintain standards of code and model quality for research and long-term maintenance
- Write independent research reports
- Experience with Python, C/C++, CUDA
- Experience with PyTorch, OpenCV, TensorFlow, TensorRT, ONNX
- Experience with Linux, Docker, Kubernetes, Git, CI/CD pipelines
- Experience with real-time video processing, RTSP/video streaming and cloud platforms
Nice to have
- Bachelor's or Master's degree in Engineering, Computer Science, Machine Learning or related field
Full description
Everseen: A leader in vision AI solutions for the world’s leading retailers.The Role
AI/ML Engineer I is responsible for designing, developing, and deploying AI/ML solutions that solve business problems and enhance product capabilities. The role collaborates with cross-functional teams to build scalable, reliable, and production-ready machine learning systems. Independently owns larger features or components and translates research ideas into efficient solutions with practical business impact. Continuously improves model performance, scalability, and operational excellence through innovation and engineering best practices.
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Job Responsibilities
- Owns and delivers key ML components or features of a project.
- Presents experimental results with clarity and proposes design solutions verbally and in writing
- Designs and implements targeted initiatives to optimize production efficiency and output, operating without supervision.
- Develops advanced-scope tools to improve efficiency and reduce unnecessary complexity.
- Demonstrates understanding of how components and features impact the business, and ensures work is aligned with overall project outcomes.
- Success Indicators:
- Implements production-quality models with high performance.
- Creates reproducible pipelines and workflows.
- Collaborating with cross-functional teams and contributes to documentation.
Tech Stack
- Languages: Python, C/C++, CUDA
- AI/ML & Computer Vision: PyTorch, OpenCV, TensorFlow, TensorRT, ONNX
- Tools & Infrastructure: Linux, Docker, Kubernetes, Git, and CI/CD pipelines
- Data: Real-time video processing, RTSP/video streaming and cloud platforms
Profile and Skills
- A minimum of 1 – 3 years in a similar role managing complex technical projects.
- Bachelor’s or Master’s degree in Engineering, Computer Science, Machine Learning or a related field is preffered.
- Deeper understanding of ML algorithms, tuning, training and evaluation procedures.
- Ability to design experiments, analyse and present results.
- Strong practical problem-solving skills.
- Strong analytical skills, able to identify trends and make decisions based on data.
- Strong data analysis and statistical reasoning.
- Capable of implementing algorithms and solutions presented in papers.