Machine Learning Traineeship

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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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