(Senior) Machine Learning Engineer

Bandpey; Union (NJ); Remote; USD 101,000 - 146,000; Full time

Job summary

Bandpey GmbH in Munich is seeking an experienced Machine Learning Engineer to design, develop and deploy ML pipelines and AI-driven solutions for clients and products.

You will lead OpenAI integrations for industrial applications, collaborate across teams and architect scalable Azure-based ML platforms while implementing MLOps for ongoing training and monitoring.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering or related field or equivalent work experience.
• 5+ years of experience in ML Engineering or Data Science with deep expertise in Microsoft Azure services.
• Strong Python and SQL skills and experience with hyperscaler platforms (Azure).
• Proven experience building scalable, high-performance ML systems.
• Familiarity with full AI product lifecycle from concept to deployment.
• Expertise in MLOps practices, deployment workflows and model monitoring.
• Ability to communicate technical designs (HLD/LLD).
• Experience deploying models in enterprise settings with attention to infrastructure, networking and security.

Responsibilities

• Engage with clients to understand business needs and translate them into technical solutions.
• Design, develop and streamline ML pipelines for secure deployment of AI solutions.
• Lead the integration of AI-based analytics solutions, using OpenAI technologies for industrial applications.
• Collaborate with multidisciplinary teams and translate complex challenges into practical solutions.
• Architect scalable ML platforms on Microsoft Azure for client projects and internal product development.
• Implement MLOps workflows for continuous training, deployment and monitoring of models.
• Stay updated on AI/ML advancements and apply them to financial services and retail applications.

Skills

Python

SQL

MLOps

Technical architecture

Education

Bachelors/Masters in CS/Engineering

Tools

Microsoft Azure

OpenAI

Job description

About the engagement

Bandpey GmbH is a data and AI software company in Munich, Germany. We build and deliver innovative, scalable solutions that drive business transformation across industries, from financial services to retail. As a Machine Learning Engineer you will use your technical expertise to show how our platforms and AI-driven solutions solve complex business challenges, and build and deploy machine learning models that deliver tangible results for our clients.

What you will do

• Engage with clients to understand their business needs and translate them into technical solutions.
• Design, develop and streamline ML pipelines for efficient and secure deployment of AI solutions.
• Lead the integration of AI-based analytics solutions, particularly using OpenAI technologies for industrial applications.
• Collaborate with multidisciplinary teams, turning complex technical challenges into practical solutions.
• Architect scalable ML platforms on Microsoft Azure for client projects and internal product development.
• Implement MLOps workflows for continuous training, deployment and monitoring of machine learning models.
• Stay on top of AI/ML advancements and apply them in real-world financial services and retail applications.

What you bring

• Bachelor's or Master's degree in Computer Science, Engineering or a related field, or equivalent work experience.
• 5+ years of experience in ML Engineering or Data Science, with deep expertise in Microsoft Azure services.
• Strong proficiency in Python and SQL, and experience with hyperscaler platforms (preferably Azure).
• Proven experience building scalable, high-performance machine learning systems.
• Familiarity with the full lifecycle of AI product development, from concept to deployment.
• Expertise in MLOps practices, deployment workflows and model performance monitoring.
• Ability to create and communicate technical architecture designs (HLD and LLD).
• Experience deploying models in enterprise settings, including infrastructure, networking and security considerations.
• Strong problem-solving skills and the ability to explain technical concepts to a non-technical audience.

Nice to have

• Experience with OpenAI technologies in industrial or enterprise applications.
• Experience in financial services or retail.

Engagement details

• Full-time contract.
• Remote; you must be able to work from within the EU.