Senior Machine Learning Operations Engineer

Company Description

Mobica | Be Extraordinary_ 

We are Mobica, a global software services company headquartered in Manchester, UK, with offices across Europe and the USA. We partner with businesses across multiple industries, from aerospace to finance and semiconductors to automotive, providing them with access to engineering expertise across the entire technology stack.

The Mobica Way

• Well-known Clients and Projects focused on the Technologies of Tomorrow - Our expertly crafted software underpins many of today’s amazing customer experiences. We work with well-known global brands to develop widely used tech. When you join us, you'll be both challenged and supported, and you'll be a part of something extraordinary. 

• Empowered Mobicans driving their Careers - We empower our people to develop their skills, push boundaries and move towards new heights. As a Mobican, you’ll have ample opportunities to advance, learn and grow towards your desired career outcomes.

• Ideas are prioritised over Hierarchy and Biases - In Mobica, you are listened to and valued. We’ve built an environment that fosters open communication. We've made it our mission to ensure all team members feel welcome, protected from discrimination and have access to equal opportunities. 

We believe that employees should be happy - At Mobica, you can define precisely how you would like to work - at home or in the office - we will create the environment for that. You’ll get access to various virtual, offline and on-site events and platforms where you can learn, brainstorm, challenge, express yourself or simply have some fun and make new friends. 

Job Description

We are looking for an exceptional Software Engineer to join our Customer's growing team. You will be building automation to enable machine learning engineers to continuously deliver predictive analytics for athlete performance, forecasting, personalization, and inventory optimization. You will work with a team of architects, platform engineers, and machine learning engineers to come up with new and interesting models, test them, and productionalize and scale them in the cloud as APIs, stream processing, or massive batch processing. We are looking for a high energy individual with experience developing cloud native applications, APIs, and data pipelines that values automation, testing, and security. You will orchestrate cloud, containers, big data, parallel processing technologies, advanced analytics, machine learning, and deep learning techniques to quantitatively plan product demand, allocate resources, and target the right customers with the best products.

Responsibilities:

• Build cloud infrastructure for machine learning following the MLOps model
• Design and implement public and internal APIs
• Design event and streaming based services
• Build Tests and Build Pipeline for automated Deployment
• Establish Monitoring and Alerting for custom infrastructure
• Batch data pipelines for machine learning for massive data sets
• Support investigation of new cloud services, software packages/tools, APIs, container management, and distributed systems, to continuously deliver quality analytics and machine learning at scale.
• Collaborate with a cross functional agile team of software engineers, data engineers, ML experts, and others to build new product features
• Enable rapid iteration and product quality through continuous A/B testing
• Design, implement, and maintain solutions/platforms
• Collaborate with platform engineering and architects to utilize best practices and maintain compliance

Qualifications

• Rock solid software engineer with demonstrated experience in enabling MLOps.
• Bachelor’s Degree in computer science, software engineering, or related field preferred
• Experience with any system configuration management tool, such as Ansible, Puppet, or Chef
• Experience with CI/CD infrastructure using Git, Jenkins, or similar tools
• Experience with Docker, Kubernetes, Mesos, containers, and related tools and systems
• Experience with AWS components and services, particularly, IAM, ECS/EKS, EMR, S3, and Lambda/Serverless
• Prefers infrastructure as code experience with CloudFormation or Terraform
• Strong Python, shell scripting, and SQL
• You care about agile software processes, data-driven development, reliability, and responsible experimentation
• Experience with Spark, Databricks, Snowflake.
• Good command of English both spoken and written

Additional Information

What you can expect from us?

• Learning by doing – you will work with industry experts who are willing to share their knowledge and experience
• Improving your skills by participating in training and mentoring programs
• Advancing your career by choosing from different career paths (technical, management)
• Broadening your horizons by working in an open and supportive multicultural environment
• Commercial projects from the domain
• Great atmosphere and supportive environment
• Working in a friendly and relaxed atmosphere created by a lot of bonding events and activities

What do we offer?

• Competitive salary adequate to your skills and performance
• Flexible working hours
• Training programs
• Private medical insurance
• Multisport program
• English lessons
• Company social events
• Weekly cakes and fruits
• Relocation assistance