Machine Learning Engineer

mAIbe; Torino; In loco; EUR 45.000 - 70.000; Tempo pieno

Descrizione del lavoro

A tech company in the automotive industry is seeking a Machine Learning Engineer to own the ML stack and deploy cutting-edge solutions. The ideal candidate will have 3+ years of experience, deep expertise in Python and major ML frameworks, and the ability to turn data into actionable strategies. You will build scalable models, drive experimentation, and work in a fast-paced environment that values autonomy and innovation. Competitive benefits included.

Servizi

26 days holidays + national bank holidays

Individual training paths

Opportunity for internal mobility

Yearly team activities

Competenze

• 3+ years of experience in building and deploying machine learning systems.
• Deep experience with Python and modern ML frameworks.
• Strong grounding in deep learning and applied statistics.

Mansioni

• Own the ML stack from design to deployment.
• Build models that deliver measurable business outcomes.
• Drive A/B testing and experimentation.

Conoscenze

Python

Machine Learning frameworks

Deep learning

Predictive analytics

Cloud platforms (AWS)

Strumenti

TensorFlow

PyTorch

Scikit-learn

XGBoost

Descrizione del lavoro

As a Machine Learning Engineer at MotorK, you’ll be at the center of how data becomes product. You’ll architect, train, and deploy machine learning systems that power predictive maintenance, automated classification, and next‑gen marketing experiences for the automotive world.

You’ll shape strategy, own systems end‑to‑end, and see your work ship fast. If you’re obsessed with performance, experimentation, and building things that matter, you’ll feel right at home here.

What You’ll Do

• Own the ML stack - from design and prototyping to deployment and optimization.
• Build models that learn, scale, and deliver measurable business outcomes.
• Partner with product, data, and engineering teams to turn ambiguous problems into real, shipped solutions.
• Drive A/B testing and experimentation to quantify impact and continuously evolve our intelligence layer.
• Lead by example: mentor, challenge, and level up the broader data science and engineering community.
• Push boundaries with cutting‑edge ML, MLOps, and cloud‑first architectures — AWS, Kubeflow, SageMaker, or whatever tech gets the job done.

What You Bring

• 3+ years building and deploying machine learning systems in real‑world, product‑focused environments.
• Deep experience with Python, modern ML frameworks (TensorFlow, PyTorch, Scikit‑learn, XGBoost), and production pipelines.
• Strong grounding in deep learning, predictive analytics, and applied statistics.
• Proven experience shipping scalable models in production environments, ideally on AWS or similar cloud platforms.
• A builder’s mindset - you move fast, experiment often, and don’t wait for perfect data.
• Ability to translate technical depth into business impact and influence strategy through data.

Why MotorK

We’re redefining how technology powers the automotive industry - and data is at the heart of it. At MotorK, you’ll:

• Shape the roadmap for AI innovation in a fast‑growing tech company.
• Work in an environment that values autonomy, speed, and experimentation.
• See your work go live fast — and make a measurable difference.
• Join a team that’s as obsessed with craft and impact as you are.
• 26 days holidays + national bank holidays
• Individual training paths
• Opportunity to develop and move within the company
• National and international mobility options
• Yearly team activities

Recruitment Process

• HR interview
• Technical interview
• C‑level interview

Employer Statement

MotorK is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any kind. Our company is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at MotorK are based on business needs, job requirements, and individual qualifications, without regard to race, colour, religion or belief, age, family or parental status, or any other status protected by the laws or regulations in the locations where we operate.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Software Development