DevOps/ML Engineer (m/f/d)

your Jared; Germany (OH); On-site; USD 104,000 - 150,000; Full time

Benefits offered by this job

Flexible work environment

Public transport ticket (Deutschlandt

Gym membership subsidy

Job summary

Machine Learning Reply is seeking DevOps and ML Engineers to support customer projects across industries, focusing on data processing and ML workloads. You will design approaches, deploy on cloud or on-prem, and implement MLOps solutions.

The role offers a hybrid work environment between client sites, Reply offices, and remote work, with opportunities to collaborate with enterprise architects, data scientists, and engineers to grow in cloud, data engineering, and AI domains.

Qualifications

• Bachelor’s / Master’s degree in computer science or related field.
• Experience with DevOps/MLOps on cloud platforms (AWS/Azure/GCP) and Databricks.
• Ability to communicate analytics to management.
• End-to-end data lifecycle: Cloud, Data Engineering, Analytics, Visualization, ML & MLOps.
• Fluent in English and German.

Responsibilities

• Design technical approaches for data-intensive ML applications.
• Implement solutions on cloud or on-prem infrastructures.
• Automate tasks using DevOps and MLOps practices.
• Ensure monitoring, failover and recovery aligned with regulatory requirements.
• Interact with customers and stakeholders to translate requirements into production-ready solutions.
• Collaborate with architects, analysts, data scientists, and data engineers.

Skills

DevOps

MLOps

Python

Java

Scala

SQL/NoSQL

Spark

Kafka

Airflow

Databricks

Cloud platforms (AWS/Azure/GCP)

Education

Bachelor's / Master’s in CS or related

Tools

Kubernetes

Job description

At Machine Learning Reply, we work with our customers on cutting-edge projects for which we are looking for DevOps and ML Engineers to support our customer projects around machine learning and data processing across various industries. To expand our team, we are looking for a talented and highly skilled consultant with a technical background to join our team. As a consultant, you will be responsible for providing expert advice and technical support to our clients.

If you're a DevOps or ML Engineer or just starting out in the field of machine learning and/or DevOps engineering - if you never lose focus, love coding, data and AI, and are passionate about bringing your ideas to life - then we want to hear from you!

Responsibilities:

• Design innovative, technical approaches for data intensive and applications with a focus on machine learning and artificial intelligence.
• Implement and take ownership for your solutions on in either cloud based(AWS Azure or GCP) and/or on-premises infrastructures of our customers.
• Automate recurring tasks by state-of-the-art DevOps and MLOps concepts, enabling your customers to significantly reduce their time-to-delivery.
• Take care of the necessary monitoring, failover, and recovery infrastructuresthat allow our customers save operation of their machine learning solutions in agreement with latest regulatory requirements
• Closely interact with customers and stakeholdersto translate concrete and complex business requirements into production-ready solutions
• Collaborate with various disciplinessuch as enterprise architects, analysts,data scientists ordata engineersto develop data-intensive applications such as data warehouses, data lakes and/or data platforms

What we offer you:

• Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc).
• Broaden your skills through interdisciplinary work and training in the areas of data engineering, cloud architecture, and data science
• Benefit from industry-leading cooperations in the cloud, BI, and AutoML field
• Very active social program - including training, conferences, team buildings, Reply Exchange, communities of practices, and hackathons
• Work in an open, flat environment, within a broad Reply knowledge-sharing network
• Award-winning office space in downtown Munich with access to "Stammstrecke"
• You choose your state-of-the-art equipment
• Public transport ticket with Deutschlandticket
• Gym-membership subsidy for a gym of your choice
• Flexible work environment between client, Reply office, and remote work

Minimum Job Requirements / Qualifications:

• Bachelor’s / master’s degree in computer science or any other related fileds (e.g. engineering, statistics, physics).
• First practical experience with DevOps/MLOps principals and computing platforms like Microsoft Azure, AWS and GCP as well as Databricks.
• Ability to convincingly communicate and present analytical results to management.
• We cover the full lifecycle of Data, from Cloud Infrastructure, Data Engineering, Data Analytics, and Visualization to ML Engineering to and MLOps. Interest and/or experience in some of those fields is an advantage.
• Fluent in English and German.

Desired:

• Working experience in cloud technologies (AWS, Azure or GCP), Kubernetes and programming languages like Python, Java and Scala.
• Practical experience with SQL and NoSQL database technologies and data lakes
• Experience with big data technologies (Apache Spark), data streaming (Apache Kafka) and workflow orchestration (Apache Airflow, Dagster)