Senior Data & AI Engineer - Tech Lead

Posted 2 Months Ago
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Parma, ITA
In-Office
Senior level
Information Technology • Software • Energy • Renewable Energy
The Role
Provide hands-on technical leadership for AI/ML initiatives: turn ambiguous problems into production-ready solutions, design systems for predictive maintenance, anomaly detection, time-series forecasting, and large-scale multimodal ML; guide engineering trade-offs, improve quality and reliability, and coordinate across engineers, data scientists, product and domain experts.
Summary Generated by Built In

About Camlin

Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.


At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of now, Camlin operates in over 20 countries worldwide.🌐


About the role 

We are looking for a Senior Data & AI Engineer – Tech Lead to lead the technical exploration and development of solutions to complex business problems using data, signal processing, and AI. 

You will work across data engineering, data science, AI, signal modelling and domain expertise, bringing together the right technical and subject-matter capabilities to solve complex problems. Your role is to understand the problem end to end, determine what signals, data, domain knowledge and analytical or AI approaches are required, and lead the development and evaluation of the most appropriate solution. 

The role combines technical leadership, hands-on problem solving, and end-to-end ownership of the technical solution. You will shape the overall approach to a problem, determine which data, signals, models, technologies and domain expertise are required, and lead the work through exploration, validation and implementation. You will contribute hands-on where your expertise adds value, while bringing together and directing the relevant domain experts, signal/modelling specialists, data engineers, data scientists, ML/AI engineers and other specialists needed to develop the solution. 

Why this is a great opportunity

You will have the opportunity to frame problems, bring together the right expertise, shape technical approaches, develop and evaluate solutions, and influence how data, signals, analytics and AI are applied to real business problems.

What you will do

  • Translate complex business problems into clear technical iterations. 
  • Define and lead technical approaches, experiments and prototypes. 
  • Bring together domain expertise, signal and modelling expertise, and Data & AI capabilities to develop end-to-end solutions to complex problems. 
  • Investigate data availability, quality and technical constraints. 
  • Design and develop data, analytics and AI solutions. 
  • Evaluate alternative approaches and their technical feasibility, performance and trade-offs. 
  • Lead and coordinate Data Engineers, Data Scientists, ML/AI Engineers, domain experts, signal/modelling specialists and other technical specialists working on the solution. 
  • Define appropriate metrics and methods to evaluate and monitor solutions. 
  • Develop the technical components needed to validate and progress solutions towards implementation. 
  • Identify when an approach is not viable and help develop alternative approaches or reframe the problem. 
  • Communicate technical findings, trade-offs and recommendations to technical and business stakeholders. 

What we're looking for 

  • Ability to work across technical and domain boundaries, integrating subject-matter expertise with data, signals, modelling, analytics and AI to solve problems. 
  • Strong experience in R&D environments, solving complex problems, navigating uncertainty, and delivering innovative products. 
  • Strong understanding of modern data and AI technologies and their practical application. 
  • Experience developing technical solutions, prototypes, analytical workflows or ML/AI systems. 
  • Strong analytical and problem-solving skills. 
  • Ability to lead complex technical work and collaborate effectively with specialists across different disciplines. 
  • Ability to evaluate technical feasibility, performance, risks and trade-offs. 
  • Strong communication skills and the ability to explain technical concepts to both technical and non-technical audiences. 
  • A pragmatic approach that balances exploration, technical quality and practical implementation. 


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.

Skills Required

  • Significant experience building real-world AI, ML or data products.
  • Strong understanding of AI/ML systems from data and modelling through to production.
  • Strong software engineering fundamentals, particularly in Python.
  • Experience working with data-intensive or time-series systems.
  • Experience taking initiatives from uncertain idea through to a working solution.
  • Ability to reason about system design, scalability, reliability and operational constraints.
  • Strong judgement evaluating technical options and communicating decisions to technical and non-technical stakeholders.
  • Experience working effectively with engineers, data scientists, product and domain experts.
  • Familiarity with Apache Spark, Databricks and MLflow (technology environment).
  • Experience building production ML systems and applying MLOps practices.
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The Company
HQ: Lisburn
315 Employees

What We Do

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.

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