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Full-time
Daily food vouchers, Training support, Discounted gym membership, Wellness programs, Internal reward and recognition tool
Posted 16h ago
~40 hrs/week
Responsibilities
The Senior AI/ML Engineer will provide technical leadership to translate ambiguous AI/ML problems into practical, production-ready solutions. They will collaborate with cross-functional teams to guide technical decisions, establish engineering best practices, and ensure the scalability and reliability of AI products.
Requirements
The role requires significant experience in building real-world AI/ML products and strong software engineering fundamentals, particularly in Python. Candidates should possess the ability to reason about complex system designs and communicate technical trade-offs effectively to diverse stakeholders.
Full job description
The Role
We are looking for a Senior AI/ML Engineer to provide technical leadership across AI and data initiatives.This is a hands-on individual contributor role for someone who can take ambiguous AI/ML problems, understand the technical challenges, shape practical solutions and break them down into executable engineering work.
You'll work closely with engineers, data scientists, product, domain experts, Delivery and Architecture to turn ideas into technically sound, production-ready solutions. You'll help teams make difficult technical decisions, identify risks and unknowns early, and provide the technical direction needed to move complex initiatives forward. Success in this role means helping teams make better technical decisions, reducing uncertainty early and improving the quality and predictability of engineering execution.
This is a hybrid permanent role, with 3 days on-site and 2 days working from home.
WhatYou'llWork On
You'll help build AI and data products used in energy environments, including:
Predictive maintenance for critical infrastructure
Anomaly detection on industrial sensor data
Asset monitoring and operational intelligence
Energy forecasting and time-series modelling
Production ML systems operating on large-scale multimodal datasets
These are difficult real-world problems involving noisy and incomplete sensor data, sparse labels, large-scale time-series datasets and evolving operational requirements.
Break downcomplexinitiatives — Translate high-level problems into technical components, dependencies and executable engineering work.
Guide AI/MLdecisions — Make and communicate trade-offs across data, models and systems, balancing quality, reliability, complexity, cost and performance.
Provide technical leadership — Work with engineers, data scientists, product and domain experts to resolve complex technical challenges and maintain a clear engineering direction.
Improveengineeringquality — Establish good practices and patterns that make AI/ML systems reliable, maintainable and scalable.
WhatWe'reLookingFor
We're looking for someone who combines strong AI/ML engineering capability with sound technical judgement and a pragmatic approach to solving complex problems.
You will likely have:
Significant experience building real-world AI, ML or data products.
Strong understanding of AI/ML systems, from data and modelling through to production.
Experience taking initiatives from an uncertain or early-stage idea through to a working solution.
Strong software engineering fundamentals, particularly in Python.
Experience working with data-intensive or time-series systems.
The ability to reason about system design, dependencies, scalability, reliability and operational constraints.
Strong judgement when evaluating technical options and trade-offs.
The ability to communicate technical decisions clearly to both technical and non-technical stakeholders.
Experience working effectively with engineers, data scientists, product and domain experts.
A collaborative approach, with the confidence to challenge assumptions constructively.
You don't need to be the deepest specialist in every AI/ML technique. We're looking for someone who can connect the different pieces, make good technical decisions and help teams solve difficult problems.
Technology
Our current technology environment includes:
Python
Apache Spark
Databricks
MLflow
Large-scale industrial and time-series datasets
We don't expect you to have used every technology in the stack. Strong engineering fundamentals and the ability to learn and apply the right tools matter more than matching every item.
WhyThisRole
Work on real-world industrial and energy datasets.
Solve technically challenging AI/ML problems with visible business impact.
Have meaningful technical influence.
Help turn ambiguous problems into practical, production-ready solutions.
Grow into broader technical ownership across Camlin's AI and data initiatives.
Our Values
We work together
We believe in people
We won’t accept the ‘way it has always been done’
We listen to learn
We’re trying to do the right thing
Benefits:
Daily food vouchers: for days worked in person in the premises.
Training Support: We offer financial assistance for your training and development, based on company discretion. We also have an internal training platform to support your professional and personal development.
Discounted Gym Membership: Stay fit with our discounted gym membership program.
Wellness Programs: We prioritise your well-being through our wellness initiatives.
Internal Reward & Recognition Tool Kudos: This streamlines and automates the process of acknowledging and appreciating employees and helps contribute to our positive workplace culture.
Equal Employment Opportunity Statement
Individuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital states, ancestry, physical or mental disability, gender identity or sexual orientation.
Transforming critical energy & rail infrastructures for our shared future. With bold determination and a spirit of invention, we're optimising the crucial systems of a resilient future — turning possibilities into progress every day.
Offices: 31 Ferguson Drive, Lisburn, Antrim BT28 2EX, GB · Parma, 43123, IT · Krakow, PL · Chicago, 60642, US · Ulica Kondina 13, Belgrade, 11103, RS
How many Data & Analytics jobs are open in Parma, Italy right now?
There are currently 22 open data & analytics positions in Parma, Italy listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Parma, Italy?
Companies currently hiring include Chiesi Italia, Barilla Group, GEA Group, Pansophic Learning, Amazon, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Parma, Italy?
Yes — 13 of the 22 open data & analytics positions offer remote or hybrid work (3 remote, 10 hybrid).
How do I apply for Data & Analytics jobs in Parma, Italy?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.