Machine Learning Traineeship
- Jwagal, Lalitpur Nepal
- Artificial Inteligence
- 4 days remaining
- Opening 4
Job Id | AMmClx |
Work Type | Office |
Job Types | Job (Fulltime) |
Posted On | Oct 25, 2024 |
Designation | Trainee ML |
Deadline | Nov 25, 2024 |
SUMMARY
We’re looking for trainees to work in the AI department.
DESCRIPTION
- Research and implement ML algorithms and models.
- Collaborate with our team of talented Machine Learning engineers to develop and refine models.
- Work on developing multi-agent systems backed by state of art LLM.
- Work on real-world projects, gaining hands-on experience in the field.
- Deploy, monitor, and maintain machine learning models in production environments, ensuring they operate efficiently and reliably.
- Contribute to the growth and success of our cutting-edge technology initiatives by bringing in innovative ideas and approaches to solve complex problems.
JOB SPECIFICATION
- Bachelor's degree in Computer Engineering/ Computational Mathematics/Data Science/Mathematics/Statistics or equivalent
- Strong Mathematical Fluency
- Proficiency with Python programming.
- Experience with REST API development using frameworks like Flask and FastAPI.
- Familiarity with database systems, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB).
- Strong grasp of Linear Algebra, Calculus, and Statistics.
- Possessing a strong inclination towards mathematics, statistics, and probability.
- A solid foundational understanding ofbasic concepts in Machine Learning and Deep Learning.
- A good understanding of the LLM space — familiarity with the OpenAI APIs, engineering high-quality prompts, using vector embeddings, and working with vector databases is preferred.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Excellent problem-solving skills and a keen eye for detail.
Note: Experienced can apply as well and may be hired directly to Associate Position based on the skill and suitability.
JOB Benefits
- Opportunity to work under the guidance of experienced team members
- Constant learning environment
- Work with a Research & Development-focused team
- Opportunity to be a full-time employee after traineeship
- Solve various interesting problems to build solid technical skills
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