As Machine Learning Engineer, you’ll be applying your expertise to help us develop a world-leading capability in this exciting and challenging domain. You will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions.
And as the team grows, you’ll take a lead role in establishing the processes and best practices for our ongoing research and development efforts. As an ML engineer you will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions. You will work closely with data scientists to collaborate and support the development of ML data pipelines, platforms and infrastructure. Day-to-day activities include:
Roles and Responsibility
Architecting and implementing end-to-end solutions for accelerating experimentation and model building
Creation of microservices and APIs for serving ML models and ML services
Designing and implementing potential products and proof-of-concepts
Deploying data solutions and pipelines to increase the efficiency of ML workflows
Working closely with engineering, product, and newsroom teams to define and deploy new ML / AI products
Exploring and onboarding new platforms, technologies and algorithms
Managing project priorities, deadlines and deliverables
Requirements
Four+ years experience working in a Machine Learning, Deep Learning, and NLP Domain
Very good understanding of Natural Language Processing and Machine Learning with projects to back the same
Experience managing and deploying ML models in real world environments
Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
Experience working with Python, Scala, Spark or other open-source software with data science libraries
Experience in advanced math and statistics
Able to understand various data structures and common methods in data transformation
Working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.).
Prior experience of working with GCP (not mandatory)
Benefits
Remote Option - You can work from any location of your choice
Reimbursement of Home Office Setup
Competitive Salary
Friendly atmosphere
Flexible paid vacation policy
At PeopleGrove, we don’t just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. PeopleGrove is proud to be an equal opportunity workplace.
If you need assistance or an accommodation due to a disability, you may contact us at
[email protected] or you may call us at 650-584-3400.
