Overview
On Site
USD 180,000.00 - 200,000.00 per year
Full Time
Skills
Fraud
Build Tools
Collaboration
Stacks Blockchain
Software Engineering
Data Science
Writing
Flask
Docker
Kubernetes
Redis
Amazon Redshift
MongoDB
Apache Kafka
RabbitMQ
Amazon Kinesis
scikit-learn
TensorFlow
Amazon SageMaker
Kibana
Algorithms
Predictive Modelling
Artificial Intelligence
Statistics
Python
SQL
Apache Spark
PyTorch
Machine Learning (ML)
Training
Streaming
Batch Processing
Job Details
Description
The Machine Learning team is a central player in the client organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitization to name a few).
The Machine Learning Engineering team at the client is looking for an experienced machine learning engineer to take care of the client's requirement to take machine learning models with varying requirements to production.
Responsibilities
Build tools and infrastructure to democratize ML
Productionizing ML models in collaboration with the Data Science and other Engineering teams.
Maintain and support existing platforms and evolve to newer technology stacks and architectures.
Desired Skills & Experience
2-3 years of relevant software engineering experience with data intensive applications
Strong understanding of data science concepts and machine learning lifecycle
Strong understanding of spark and sql and prior experience with writing backend APIs
Flexible and open to trying out newer technologies and adopting them as and when needed.
Technologies we use:
Flask, Docker, Kubernetes
Redis, Redshift, MongoDB, Kafka, RabbitMQ, Kinesis
sklearn, pyTorch, Tensorflow, Spark
Mlflow, Sagemaker, Kibana, Airflow
Skills
Machine learning, Statistics, Python, Sql, Spark, pytorch, Algorithm, Predictive modelling, Artificial intelligence
Top Skills Details
Machine learning,Statistics,Python,Sql,Spark,pytorch
Additional Skills & Qualifications
-- End-to-end ML pipeline experience required (data, features, training, deployment)
-- High-scale model serving experience (high QPS)
-- Proficiency in streaming/batch processing
-- Monitoring and observability skills
Experience Level
Intermediate Level
Pay and Benefits
The pay range for this position is $180000.00 - $200000.00/yr.
Competitive base salary and ISO equity packages tailored to your experience and impact
Company-sponsored dental and vision insurance for you and your dependents
Medical plans including HMO, PPO, and HDHP with employer contributions to HSA
$200 monthly wellness stipend for fitness, wellness gear, or health-related expenses
401(k) plan with a 3% employer match, up to $1,000 annually
Flexible vacation and sick leave / paid time off policy
Generous parental leave and family support benefits
Paid holidays and additional personal days
Free daily catered lunches, snacks, and beverages
Home office stipend and hybrid work flexibility
Employee resource groups (ERGs) to build community and connection
Pet-friendly office
Workplace Type
This is a hybrid position in Redwood City,CA.
Application Deadline
This position is anticipated to close on Aug 14, 2025.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
The Machine Learning team is a central player in the client organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitization to name a few).
The Machine Learning Engineering team at the client is looking for an experienced machine learning engineer to take care of the client's requirement to take machine learning models with varying requirements to production.
Responsibilities
Build tools and infrastructure to democratize ML
Productionizing ML models in collaboration with the Data Science and other Engineering teams.
Maintain and support existing platforms and evolve to newer technology stacks and architectures.
Desired Skills & Experience
2-3 years of relevant software engineering experience with data intensive applications
Strong understanding of data science concepts and machine learning lifecycle
Strong understanding of spark and sql and prior experience with writing backend APIs
Flexible and open to trying out newer technologies and adopting them as and when needed.
Technologies we use:
Flask, Docker, Kubernetes
Redis, Redshift, MongoDB, Kafka, RabbitMQ, Kinesis
sklearn, pyTorch, Tensorflow, Spark
Mlflow, Sagemaker, Kibana, Airflow
Skills
Machine learning, Statistics, Python, Sql, Spark, pytorch, Algorithm, Predictive modelling, Artificial intelligence
Top Skills Details
Machine learning,Statistics,Python,Sql,Spark,pytorch
Additional Skills & Qualifications
-- End-to-end ML pipeline experience required (data, features, training, deployment)
-- High-scale model serving experience (high QPS)
-- Proficiency in streaming/batch processing
-- Monitoring and observability skills
Experience Level
Intermediate Level
Pay and Benefits
The pay range for this position is $180000.00 - $200000.00/yr.
Competitive base salary and ISO equity packages tailored to your experience and impact
Company-sponsored dental and vision insurance for you and your dependents
Medical plans including HMO, PPO, and HDHP with employer contributions to HSA
$200 monthly wellness stipend for fitness, wellness gear, or health-related expenses
401(k) plan with a 3% employer match, up to $1,000 annually
Flexible vacation and sick leave / paid time off policy
Generous parental leave and family support benefits
Paid holidays and additional personal days
Free daily catered lunches, snacks, and beverages
Home office stipend and hybrid work flexibility
Employee resource groups (ERGs) to build community and connection
Pet-friendly office
Workplace Type
This is a hybrid position in Redwood City,CA.
Application Deadline
This position is anticipated to close on Aug 14, 2025.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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.