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Senior Machine Learning Engineer

Remote • Posted 1 day ago • Updated 57 minutes ago

Full Time

Remote

Fitment

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Job Details

Skills

Recruiting
Streaming
Training
Product Development
Management
Continuous Integration
Continuous Delivery
Elasticsearch
Accountability
Evaluation
Reporting
Computer Science
Mathematics
Software Engineering
Python
Java
Modeling
Microsoft Certified Professional
Servers
Microservices
Systems Design
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Docker
Kubernetes
SQL
NoSQL
Database
Data Science
Workflow
A/B Testing
Communication
Machine Learning (ML)
Health Insurance
Professional Development
IT Consulting
Product Engineering
Advanced Analytics
Business Acumen
Business Transformation
Leadership
Artificial Intelligence
Data Analysis
Cloud Computing
DevOps
Software Modernization
Customer Experience
GRID
Dynamics

Recruiting
Streaming
Training
Product Development
Management
Continuous Integration
Continuous Delivery
Elasticsearch
Accountability
Evaluation
Reporting
Computer Science
Mathematics
Software Engineering
Python
Java
Modeling
Microsoft Certified Professional
Servers
Microservices
Systems Design
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Docker
Kubernetes
SQL
NoSQL
Database
Data Science
Workflow
A/B Testing
Communication
Machine Learning (ML)
Health Insurance
Professional Development
IT Consulting
Product Engineering
Advanced Analytics
Business Acumen
Business Transformation
Leadership
Artificial Intelligence
Data Analysis
Cloud Computing
DevOps
Software Modernization
Customer Experience
GRID
Dynamics

Summary

Our client is transforming grocery shopping by giving people time back - shoppers handpick fresh groceries and household essentials and deliver them in as little as one hour. We're hiring a Senior Machine Learning Engineer for our Personalization Platform team within the Membership organization. You'll partner closely with Data Scientists to design, deploy, and scale personalized recommendation and ranking models that drive engagement across the Shipt marketplace. This is a hands-on senior technical role spanning architecture, ML infrastructure, and production systems - from training and serving pipelines to CI/CD and monitoring. If you have an AI-first mindset and enjoy building platforms that make other engineers and scientists more effective, this is your team.

Essential functions

Partner with Data Scientists, Product Managers, and peer engineering teams to build and ship AI product features
Design, build, and maintain scalable ML infrastructure and production systems, including batch and streaming data pipelines for model training and serving
Deploy, serve, and monitor models in public cloud environments via microservices that meet throughput and latency requirements
Define best practices for AI product development: pipeline automation, model versioning, deployment, and scalable serving
Design and manage CI/CD pipelines for machine learning deployments
Integrate models into search and ranking systems (e.g., Elasticsearch first-stage retrieval and downstream ranking services)
Own accountability for the implementation of AI product features end to end
Use modern monitoring and telemetry tooling to identify, assess, and prioritize platform issues
Support experimentation and A/B testing infrastructure, offline evaluation harnesses, and search-quality reporting
Stay current on emerging AI/ML technology and bring the best of it to the team

Qualifications

MS or PhD in Computer Science, Engineering, Mathematics, or equivalent practical experience.
5+ years in machine learning and backend software engineering.
Strong proficiency in Python, plus at least one other backend language (Go or Java preferred).
Deep understanding of user modeling, embeddings, similarity search, and ranking models.
Strong experience with serving architectures (REST/gRPC APIs, model servers) and low-latency inference.
Hands-on experience with modern AI development tooling - MCP servers/clients, PydanticAI, LangGraph, LiteLLM, or similar.
Experience with ML pipeline and experiment-tracking tools (MLflow, Kubeflow, Airflow, Weights & Biases, or similar).
Solid grasp of distributed systems, microservices, and system design.
Cloud experience (AWS, Google Cloud Platform, or Azure) and containerized development (Docker, Kubernetes).
Experience with SQL and NoSQL databases and large-scale datasets.
Familiarity with the full data science workflow - data ingestion, feature engineering, experimentation, deployment, and monitoring.
Exposure to experimentation platforms and online A/B testing.
Strong written and verbal communication; able to explain ML results and applications to scientists, engineers, and business partners

We offer

Opportunity to work on cutting-edge projects
Work with a highly motivated and dedicated team
Competitive salary
Flexible schedule
Benefits package - medical insurance, vision, dental, etc.
Corporate social events
Professional development opportunities
Well-equipped office

Please note that all onboardings must occur in person and you may be asked to travel to attend.

About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX145791
Position Id: e717b13d2e955c09c029326e83c5e01c
Posted 1 day ago

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