Senior Machine Learning Engineer in Düsseldorf

Energy Jobline ZR; Düsseldorf; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading energy job platform in Düsseldorf seeks an experienced Machine Learning Engineer to implement and productionise ML-based services. The role involves collaborating with Data Scientists, utilizing tools like Amazon Sagemaker, and requires a strong background in Python and machine learning. Competitive benefits include 30 days of holiday, a hybrid working model, and opportunities for professional growth.

Leistungen

30 days of holidays + additional 2 days

Hybrid working model

Company pension scheme

24/7 Employee Assistance Programme

Life Assurance Cover

Volunteering days

Job bike

Discounted parking or job ticket

In-house gym

In-house barista

Bring your dog to the office

Qualifikationen

• 5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field.
• High engagement, proactivity, and sense of ownership.
• Experience in Natural Language Processing (NLP) projects is a plus.

Aufgaben

• Implement and productionise ML-based services using Sagemaker.
• Collaborate with Data Scientists to implement ML workflows.
• Communicate complex machine learning concepts clearly.

Kenntnisse

Team player

Proactivity

Machine Learning Engineering

Production-level Python

Communication skills in English

Ausbildung

Bachelor's degree in Computer Science

Tools

Amazon Sagemaker

Terraform

Atlassian Bamboo

PyTorch

transformers

Jobbeschreibung

Overview

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the world\'s leading job platform.

Responsibilities

Your job:

• Implement and productionise ML-based services using Sagemaker
• Work on NLP and LLM projects, applying your expertise to contribute to and build on our existing solutions.
• Utilize IaC and CI/CD best practices to increase the efficiency in deployment and management of resources.
• Collaborate with our Data Scientists team to design and implement ML workflows.
• Participate in code reviews, contributing to our culture of continuous improvement.
• Communicate effectively with team members and stakeholders, explaining complex machine learning concepts in a clear and concise manner.

This is how we will work together:

• You will join an established team owning self-hosted LLM-based internal services
• You have influence on design, planning and implementation of technical solutions.
• You will be collaborating closely with Data Scientists, Data Engineers and Cloud Developers

Qualifications

• Strong team player, willing to learn from and contribute to an experienced team
• High engagement, proactivity, and sense of ownership
• 5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field
• Proficiency in production-level Python (Clean, SOLID)
• Industry experience in Amazon Sagemaker deployment
• Experience in deploying and scaling LLMs in production
• Experience with IaC (Terraform), CI/CD (Atlassian Bamboo) and test automation best practices.
• Excellent communication skills in English, both written and verbal.
• Bachelor\'s degree in Computer Science or a related field. Master\'s degree is .
• Experience in Natural Language Processing (NLP) projects is a plus.
• Experience with PyTorch or transformers is a plus.
• Experience with managed Vector DBs is a plus.

Our expectations

• You contribute to technical discussions with our team, Product Manager and Stakeholders
• You are proactive, focused on delivery and value creation.
• You work self-sufficiently in an autonomous team.
• You have experience working in Scrum or empowered teams with multiple roles.

Benefits

• 30 days of holidays + 2 extra days for Christmas and New Year\'s Eve
• Hybrid working model
• Company pension scheme
• 24/7 Employee Assistance Programme
• Life Assurance Cover
• Volunteering days
• Job bike
• Discounted parking or job ticket
• In-house gym
• In-house barista
• And you can bring your dog to the office

Our commitment

Equal opportunities are important to us. We believe that and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender, disability status, belief, family or parental status, and any other characteristic.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.