Machine Learning Engineer | Tricity (Hybrid / Relocation with relocation package)
What You’ll Do
Design, build, and scale
production-grade ML systems
used in mission-critical environments
Work hands-on with
LLMs , from
prompt engineering
to
fine-tuning
and
RAG systems
using frameworks like
Lang Chain
Collaborate across teams to create
robust data pipelines
and automate workflows using tools like
Apache Beam
and
MLflow
Apply solid
software engineering principles
— clean architecture, testing, CI/CD — to ensure stability and scalability
Stay ahead of emerging technologies and share best practices across the team
Ideal candidate brings:
Strong proficiency in
Python
and frameworks like
Tensor Flow ,
Py Torch , and
scikit-learn
Hands-on experience
using LLMs in production
environments
Deep understanding of
data structures, algorithms , and
engineering best practices
Familiarity with
transformer architectures ,
classical ML , and
MLOps concepts
Experience building
scalable, reliable ML pipelines
with tools like
Apache Beam
and
MLflow
A commitment to
high-quality ML engineering
— versioning, experiment tracking, and automation
Curiosity, collaboration, and a
bias for simplicity and clarity
in solving complex problems
Not meeting all criteria? Do not worry, apply and let us get to know you! :)
What We Offer
Flexible working hours
— because great work happens when life’s in balance
Premium healthcare and insurance
for you and your dependents
Competitive salary + equity
— we reward performance and impact
Relocation support
to the
Tricity area
to make your move seamless
Dynamic, high-energy environment
— surrounded by ambitious, innovative peers
Flexible time off
— we care about outcomes, not hours
A
modern office , top-tier tools, and
fresh team breakfasts and lunches
every day
If you’re driven by curiosity, collaboration, and the challenge of making AI work at scale — we’d love to meet you.
Apply today
and be part of something that moves fast, builds smart, and makes an impact.
Whistleblowing Policy, which provides guidelines for reporting misconduct can be found on Ework website: https://www.eworkgroup.com/about-us/our-responsibility
#J-18808-Ljbffr
