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View Company ProfileSenior Machine Learning Engineer
Job summary
-
No. of Vacancy
: 1 -
Job Type
: Full Time -
Offered Salary
: Negotiable -
Gender
: Both -
Career Level
: Senior Level -
Experience
: 4 Years -
Apply Before
: 2024-08-05 Closed -
Skills
:AgileGitPythonAWS
Job Description:
As a Senior Machine Learning Scientist, you will be joining a dynamic and distributed team of 15+ Data scientists and Machine learning engineers. You will be working directly CTO to develop end-to-end APIs and data products for clients in the US market.
Responsibility:
- You will work in our Machine Learning org, a close-knit group of scientists and engineers who collaborate to build new ML-powered systems from whiteboard sketches to finished APIs
- You will conduct innovative research and apply it to build scalable ML systems and APIs for intelligent document processing
- You will manage a small team of data scientists and machine learning engineers
- You will plan new projects for your team and take full ownership of the deliverables
Required Knowledge, Skills, and Abilities:
- Proven ability to scope out a research idea and implement it end-to-end from raw data to API
- Deep learning: PyTorch, Tensorflow, Training DNNs, Transfer learning, Model optimization
- Machine learning: Classification, Regression, Scikit-learn, Numpy, Pandas, Scipy, Visualization
- NLP: Transformers, BERT, LLM, Text classification
- Software engineering: Python, Git, AWS, Google Cloud, Docker, Kubernetes, Agile, Sprints
- Behavioral: Must be self-motivated, team player, resourceful, eager to learn, have a growth mindset, and able to get things done
Education + Experience:
- Must have 4+ years industry experience working in machine learning, deep learning, NLP, Computer vision etc. in product startups, tech companies, industry R&D groups etc.
- 1-2 years experience in leading and managing a team of 4-5+ ML scientists and engineers.
- Bachelor's Degree on Computer Science, Statistics, Machine Learning, Physics, Mathematics, Quantitative Finance is always good to have.
Apply Instruction:
Interested candidates fulfilling the mentioned criteria are encouraged to Apply using the Easy Apply button below. Registered candidates may also apply using Apply Now Button.