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Machine Learning Engineer

Remote:

Full Remote

Experience:

Senior (5-10 years)

Work from:

India

Offer summary

Qualifications:

Bachelor's or Master's in Computer Science, Mathematics, Statistics., 5+ years of experience in Machine Learning or AI systems., Strong analytical and problem-solving skills., Proven software engineering skills using Python..

Key responsabilities:

Lead initiatives for Data Science and ML.
Produce clean and well-structured code.
Mentor junior engineers.
Improve foundational processes and best practices.

Apollo.io Large https://www.apollo.io/demo

501 - 1000 Employees

See all jobs

Job description

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 270 million B2B contacts, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Apollo.io is growing rapidly, with 900% revenue growth since 2021, and is looking for world-class talent to keep building with us.

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.

What You’ll Love About Apollo

Besides the great compensation package and culture that thrives in openness and excellence, we invest tremendous effort into developing our remote employees’ careers. The team embraces that we have a sole purpose: to help customers maximize their full revenue potential on the Apollo platform. This mindset opens us up to a lot of creative approaches to making customers successful at scale. You’ll be a significant part of a lean, remote team, empowered to really own your role as a proactive educator. We’re very collaborative at Apollo, so you’ll be able to lean on your teammates, even in adjacent departments, to help you achieve lofty goals. You’ll be supported and encouraged to experiment and take educated risks that lead to big wins. And, you’ll have a whole team remotely by your side to help you do it!