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FanCode

Machine Learning Engineer

FanCode
India · Full-time · Entry
Responsibilities

  • Communicate with the Product and Management teams to understand business requirements and user problems.
  • Carry out EDA in collaboration with the Analytics team to identify solutions and research industry best practices and tools for its implementation.
  • Build data ingestion pipelines, models, and serving layers, and deploy them by working closely with the Tech team.
  • Communicate the solutions' business impact, caveats, and implementation deadlines to all stakeholders.
  • Broadly 60%-70% of the time is dedicated to Model Deployment workstreams the and rest to Model Development.

Requirements

  • 3-5 years experience in developing, delivering, and maintaining data-driven solutions (Ex: recommendation systems, traffic forecasting, dynamic pricing, video, and text processing).
  • Good understanding of fundamental statistics and ML concepts (Ex: hypothesis testing, linear and ensemble models, graph analytics, deep learning).
  • Expert-level grasp of Python programming language and SQL (Ex: OOPs, async-await paradigm, CTEs, window functions).
  • Hands-on experience with creating data ingestion pipelines and APIs that serve model results at scale (Ex: Spark, FastAPI, Celery).
  • Ability to break down business requirements into technical problems and communicate solutions to other teams.

Good To Haves

  • Bachelor's degree in a quantitative discipline - Engineering, Statistics, Mathematics, Economics etc.
  • Ability to identify and integrate innovative tools that can help build more efficient solutions.
  • Love for sports.
  • Experience building NLP and computer vision applications.
  • Data visualization skills.

This job was posted by Ruchi Shah from FanCode.

Key Skills

Ranked by relevance

computer vision fastapi python spark sql
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Posted
Feb 28, 2025
Type
Full-time
Level
Entry
Location
Mumbai Metropolitan Region
Company
FanCode

Industries

Wellness Fitness Services Spectator Sports

Categories

Information Technology Analyst Engineering

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