MLOps Engineer

Company Description

At Devoteam, we believe that technology imbued with strong human values can actively drive improvement. Discover how Tech for People unlocks the potential of tomorrow, creating a positive impact on people and our world. We are a leading figure in Digital Transformation for premier businesses across EMEA, boasting a revenue of €652M. We believe in refurbishing technology to add value for our clients, partners, and employees in a world where technology is devised for people. We take pride in the culture we've cultivated. We take pride in our employees at the helm of technology. We take pride in our diverse environment. We are #TechforPeople. Join our multi-disciplinary team made up of Cloud professionals, Designers, Business consultants, Security elites, Engineers, Developers, among other extraordinary talents, spread over more than 18 EMEA countries. Become one of our +8,000 technology and business leaders on cloud, data, and cybersecurity. Let's infuse creativity and technology to craft innovative solutions that actively make things better.

Job Description

Join the Artificial Intelligence Platform team. Your main role will be to contribute to the continued growth of ML-powered services. You will also aid in crafting end-to-end machine learning pipelines, from data collection strategies to inference services deployments, constructing AI/ML frameworks and solutions on a grand scale. The ideal candidate will possess experience as a software engineer and a strong interest in developing ML products.

• Work alongside Data Scientists to bring ML-powered services to production.
• Construct robust and scalable web-based APIs to serve our ML models.
• Assist in creating frameworks that utilize technical solutions to known problems, while also promoting solution sharing among projects/departments.
• Propel the adoption of frameworks that accelerate the resolution of machine learning problems on a large scale.
• Take part in the crafting of machine learning pipelines, referencing strategies from data collection to inference services construction and deployment.
• Collaborate with DevOps, software architecture, and platform teams.
• Regularly contribute to the documentation of our systems and tools.

Qualifications

• Proficiency in at least one OOP language such as C# or Java.
• Experience with common data science languages, such as Python or R. Mastery in at least one of these is highly desirable.
• Familiarity with machine learning libraries such as TensorFlow or Scikit-Learn.
• Solid comprehension of the machine learning project lifecycle.
• Familiarity with streaming/messaging platforms such as Kafka or RabbitMQ.
• Experience with at least one data processing tool such as Spark, Beam, Flink, etc.
• Experience with at least one cloud platform such as Azure, AWS, GCP, etc.
• Proficiency in using query languages such as SQL, Spark SQL, etc.
• Experience with at least one NoSQL database, such as MongoDB, Redis, Cassandra, etc.
• Experience with container technologies like Docker and Kubernetes.

• Experience with software construction and release processes, unit testing, version control, etc.
• Experience using Git source control.
• Excellent scripting skills and understanding of the Linux/Unix command line.
• A passion for ML/AI.
• A collaborative and get-it-done attitude.
• Excellent written and verbal communication skills, comfortable with audiences including product and engineering management.