FanCode - Machine Learning Engineer - NLP/Python (3-5 yrs)

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.