Senior Machine Learning Engineer
vor 3 Wochen
Coders Connect is partnering with an innovative organization in Hamburg to expand their team with a Senior Machine Learning Engineer who’s passionate about leveraging AI to solve complex, real-world challenges. This role offers a unique opportunity to shape impactful machine learning solutions within a collaborative, forward-thinking environment.
Role Overview
In this key role, you’ll design, develop, and deploy scalable machine learning models from end to end, supporting mission-driven applications. You’ll work closely with data scientists, engineers, and product teams, creating solutions for data modeling, real-time processing, and predictive analytics that directly impact project outcomes.
Key Responsibilities
- Model Development and Deployment: Design, train, and deploy machine learning models for diverse applications, ensuring performance and scalability.
- Cross-Functional Collaboration: Partner with data scientists, engineers, and product managers to integrate models seamlessly, aligning with project goals.
- Data Pipeline Optimization: Develop and refine data pipelines, implementing best practices for high performance and data quality.
- Utilize Cutting-Edge ML Tools: Apply the latest machine learning frameworks and tools to drive innovation.
- Production-Ready Code: Write clean, maintainable code and advocate for engineering best practices across the team.
- Continuous Improvement: Proactively seek improvements in model accuracy, efficiency, and scalability.
Key Requirements
- Experience: 4+ years in machine learning engineering, with a strong focus on end-to-end model deployment.
- Technical Skills: Expertise in Python, ML frameworks (e.g., TensorFlow, PyTorch), and data processing pipelines.
- Analytical Approach: Strong problem-solving skills and the ability to translate complex challenges into practical solutions.
- Collaborative Mindset: Skilled in working within cross-functional teams and engaging with stakeholders.
- Bonus Skills: Experience with cloud platforms (AWS, GCP) and real-time data processing.
This position offers an exciting chance to lead impactful machine learning initiatives, delivering solutions with purpose and contributing to a high-growth client in Hamburg.
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