AI/Machine Learning Engineer
Required Skills
- Collaborate with architects and experts to plan, design, manage, monitor, and build machine learning systems.
- Research and implement appropriate ML algorithms and tools.
- Work with team members and subject matter experts to frame and document ML problems to develop machine learning applications
- Run machine learning tests and experiments.
- Perform statistical analysis and fine-tuning using test results.
- Extend existing ML libraries and frameworks.
- Keep abreast of developments in the field and derive automation best practices for continuous improvement.
What you have
- Bachelor of Science in Computer Science or a related field
- Proven experience building out ML projects as a Machine Learning Engineer or similar role.
- Understanding of data structures, data modeling and software architecture
- knowledge of math, probability, statistics, and algorithms
- Ability to write robust code in Python, Java, or R
- Experience with machine learning frameworks and libraries such as Tensor flow, Pandas, NumPy, Matplotlib or similar
- Excellent communication skills
- Ability to work in a team.
- Working knowledge of Agile, Iterative development process is essential.
Preferred Skills:
- Experience in NLU/NLP or large language models
- Experience working in Google Cloud Platform or AWS clouds.
- Demonstrated ability to work well under pressure in a fast-paced environment Exposure to a regulatory environment (like Banking & Finance or Health care etc.) domain is a plus.