N-iX Logo

N-iX

Senior ML Data Engineer

Posted 21 Hours Ago
Be an Early Applicant
Remote
28 Locations
Senior level
Remote
28 Locations
Senior level
The Senior ML Data Engineer will collaborate with product managers and data scientists to develop end-to-end machine learning solutions, maintain a serverless ML-powered GraphQL stack, support deployment of ML models, and manage large datasets effectively while ensuring operational infrastructure is supported.
The summary above was generated by AI

N-iX is looking for a passionate and motivated Data ML Engineer to join our team.

Our customer is a technology company that powers one of the world's largest two-sided marketplaces for high-quality photos, illustrations, videos and music used by individuals, businesses, marketing agencies and media organizations of all sizes. In this role, you will be working with highly motivated and talented data scientists and engineers who are primarily focused on developing next generation AI/ML systems that transform the way people find content they enjoy.

Responsibilities:
■ Partner with product managers, data scientists and other technical stakeholders to understand requirements and collaborate on providing solutions at scale.
■ Create end-to-end machine learning solutions from start to finish, contribute to
complex machine learning operations and inference pipelines.
■ Build and maintain a modern serverless ML-powered GraphQL stack that will
support rapid iteration and drive delivery of AI-powered features.
■ Support development, productionalization and deployment of machine learning
models.
■ Manipulate large datasets quickly and efficiently in both relational and “big” data stores.
■ Day-to-day operational support of engineering infrastructure, products, and
services, including on-call routine.

Requirements:
■ Industry experience in building, deploying and maintaining high performing,
resilient, and scalable real-time machine learning systems.
■ Expert knowledge of Python and experience in building micro-services that can
scale effectively.
■ Knowledge of SQL, data modelling, and dimensionality modelling concepts
■ Familiarity with modern ETL stack (Airflow, DBT, Snowflake) and stream
processing frameworks (Kafka, Kinesis).
■ Good understanding of machine learning operation practices and procedures.
■ Familiarity with machine learning principles, hands-on experience with common machine learning tools like Scikit-Learn and deep learning frameworks likeTensorFlow, Keras, Torch/PyTorch
■ Experience with Cloud infrastructure provisioning and integration patterns
■ Be excited to be part of the team, have the ability to communicate clearly and
develop close working relations with other team members and stakeholders.
■ Ability to innovate and identify new approaches to improve current practices.

We offer:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

Top Skills

Python
SQL

Similar Jobs

Yesterday
Easy Apply
Remote
28 Locations
Easy Apply
Senior level
Senior level
Artificial Intelligence • Machine Learning • Natural Language Processing • Conversational AI
As a Senior Machine Learning Engineer at Smartcat, you will enhance the computer vision capabilities of our Language AI platform. You'll manage data labeling, optimize ML training pipelines, and oversee model deployment and performance monitoring while driving innovation in Image and Video Translation products.
Top Skills: Python
23 Hours Ago
Easy Apply
Remote
28 Locations
Easy Apply
Senior level
Senior level
Cloud • Security • Software • Cybersecurity • Automation
The Senior Technical Instructor will deliver high-quality technical training on GitLab's platform, mentor other instructors, develop training content, and ensure training aligns with product updates. The role also involves maintaining product knowledge and collaborating with various teams to improve educational offerings.
Top Skills: GitlabKubernetes
23 Hours Ago
Easy Apply
Remote
28 Locations
Easy Apply
Mid level
Mid level
Cloud • Security • Software • Cybersecurity • Automation
As an Intermediate Site Reliability Engineer focused on Environment Automation, you'll automate operations across numerous GitLab environments. Your responsibilities include building deployment packages, managing infrastructure as code, deploying microservices, maintaining observability, and enhancing security measures while collaborating with engineering teams to resolve architectural issues.
Top Skills: GoRuby

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account