Senior ML Engineer

TEC Partners; Berlin; Hybrid; EUR 70.000 - 95.000; Vollzeit

Zusammenfassung

An innovative AI start-up is seeking a Senior Machine Learning Engineer to lead the design and deployment of transformative AI solutions in regulatory affairs. This role involves collaboration with cross-functional teams, building scalable ML systems, and mentoring junior engineers. The ideal candidate will have strong expertise in Python, data science, MLOps, and NLP, with a passion for leveraging AI technology. The company offers a competitive salary, growth opportunities, and a collaborative work environment.

Leistungen

Competitive salary

Generous equity package

Continuous professional development

Qualifikationen

• Proven experience as a Machine Learning Engineer or in a similar role.
• Strong track record of delivering production-grade machine learning systems.
• Familiarity with scalable data storage and processing systems.

Aufgaben

• Collaborate with cross-functional teams to design and deploy machine learning models.
• Build and optimize machine learning pipelines for data processing.
• Mentor junior team members and foster a collaborative engineering culture.

Kenntnisse

Python

Data Science

MLOps

NLP

Cloud platforms (AWS, GCP, Azure)

Containerization tools (Docker, Kubernetes)

Problem-solving skills

Tools

TensorFlow

PyTorch

Spark

Hadoop

Jobbeschreibung

Senior Machine Learning Engineer

Location: Remote/Hybrid

We are seeking a talented and driven Senior Machine Learning Engineer to join our fast-growing AI start-up, REMATIQ. This is an exciting opportunity to work on cutting-edge AI solutions that are transforming regulatory affairs. As a Senior Machine Learning Engineer, you will take ownership of designing, building, and scaling machine learning systems that drive impactful innovation in the industry.

Responsibilities

• Collaborate with cross-functional teams to design, develop, and deploy machine learning models into production.
• Build and optimize scalable and efficient machine learning pipelines for data processing, model training, and deployment.
• Lead efforts in identifying, implementing, and validating the best algorithms and techniques for solving business challenges.
• Take ownership of model performance, monitoring, and continuous improvement in production.
• Mentor junior team members and contribute to fostering a collaborative engineering culture.
• Research and stay up-to-date on advancements in machine learning, MLOps, and related technologies.
• Contribute to the development of best practices in model lifecycle management, including reproducibility and version control.

Requirements

• Proven experience as a Machine Learning Engineer or in a similar role, with expertise in Python.
• Strong track record of delivering production-grade machine learning systems, including model deployment and monitoring.
• Proficiency in at least one of the following areas: Data Science: Advanced analytics, statistical modeling, and insights generation. MLOps: Building robust CI/CD pipelines for machine learning workflows and automation. Large Language Models (LLMs): Fine-tuning, training, or deploying state-of-the-art transformer-based models. Natural Language Processing (NLP): Developing applications like text classification, summarization, or entity recognition.
• Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes).
• Strong problem-solving skills with the ability to prioritize tasks effectively in a fast-paced environment.
• Familiarity with scalable data storage and processing systems (e.g., Spark, Hadoop, or similar).
• Passion for leveraging AI to revolutionize regulatory affairs.

Nice-to-Have Skills

• Experience working in early-stage start-ups
• Familiarity with regulatory affairs or compliance-related applications.
• Contributions to open-source machine learning projects.
• Expertise in deep learning frameworks such as TensorFlow or PyTorch.
• Strong software engineering practices, including code reviews, testing, and documentation.

Why Join Us?

• Innovative Mission: Be part of transforming regulatory affairs with cutting-edge AI technology.
• Impactful Role: Take ownership of significant projects and contribute to shaping the future of the industry.
• Collaborative Environment: Work with a small, ambitious team where everyone has real ownership over the product and company.
• Growth Opportunities: Learn and grow in a fast-paced start-up environment with continuous professional development.
• Compensation: Competitive salary and a generous equity package for early employees.

Join REMATIQ and be a driving force in revolutionizing regulatory affairs through AI. If you are a passionate and skilled Machine Learning Engineer ready to make an impact, we'd love to hear from you!

Senior ML Engineer • Berlin, GB