Machine Learning Engineer

Apollo.io • India

Company

Apollo.io

Location

India

Type

Full Time

Job Description

Responsibilities:

  • Is an SME in Machine Learning

  • Able to tech lead initiatives for Data Science and ML: task breakdown project design delegation and review

  • Produce 'clean' and well-structured code with detailed specifications. This means that your code is well-designed simple readable properly documented well-tested and is production ready

  • Mentors junior engineers

  • Improves foundational processes and promotes best practices

  • Contributes to the hiring and interview process

Competencies:

  • Customer driven: Attentive to our customers’ needs and strive to deliver a seamless and delightful customer experience

  • High Impact: Understand what the most important customer metrics are and find the right direction to impact them by working with Product Managers and through multiple agile iterations

  • Ownership: Have ownership of projects from start to finish make sure to have high quality implementation and have urgency to move fast and find the most efficient ways to iterate

  • Team Mentorship & Sharing: Able to up-level the team by sharing knowledge and best practices with the engineering team

  • Agility: Organised and able to effectively plan and breakdown large projects into smaller tasks that are easier to estimate and deliver. Can lead fast iterations

  • Speak and Act Courageously: Isn’t afraid to fail isn’t afraid to challenge status quo speak up for contrarian view

  • Focus and Move with Urgency: Able to prioritise for impact and move fast to deliver experiments and features to achieve customer value

  • Intelligence: Learns quickly. Demonstrates ability to quickly and proficiently understand and absorb new codebase and frameworks

Required Qualifications:

  • Bachelors or Masters in Computer Science Mathematics Statistics or other quantitative fields or related work experience

  • 5+ years of experience building Machine Learning or AI systems

  • Experience deploying and managing machine learning models in the cloud

  • Strong analytical and problem-solving skills

  • Proven software engineering skills in production environment primarily using Python

  • Experience with Machine Learning software tools and libraries (e.g. Scikit-learn TensorFlow Keras PyTorch etc.)

Preferred Qualifications:

  • Experience with Databricks Google Cloud Platform Snowflake mlflow and Airflow

  • Experience with Large Language Models (LLMs) or similar technologies

  • Experience with one or more of the following: natural language processing deep learning recommendation systems search relevance & ranking and speech-to-text conversion.

Apply Now

Date Posted

01/08/2025

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