ML Ops Engineer

CAPCO POLAND 

*We are looking for Poland based candidate. The job is remote but may require some business trips.

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

Capco Poland is a global technology and management consultancy specializing in driving digital transformation across the financial services industry. We are passionate about helping our clients succeed in an ever-changing industry.

We also are experts in      focused on development, automation, innovation, and long-term projects in financial services. In Capco, you can code, write, create, and live at your maximum capabilities without getting dull, tired, or foggy.

As an ML Ops Engineer you will be responsible for developing, deploying and maintaining the infrastructure for Machine Learning to support Data Science and Machine Learning Teams. You will focus on automating modeling processes, monitoring models in production environments and managing the full ML lifecycle.

THINGS YOU WILL DO

• Design and develop pipelines for training and deploying ML models
• Automate and monitor ML processes, including version control and model updates
• Collaborate with Data Science and Data Engineering teams to integrate ML models into production environments
• Build and maintain systems for monitoring ML models to track performance and stability
• Optimize cloud infrastructure (GCP) for ML deployments
• Troubleshoot issues related to performance and availability of ML models in production
• Ensure CI/CD  best practices for ML models

TECH STACK: Python, TensorFlow, PyTorch, MLflow, Kubeflow, Airflow, CI/CD, GIT

Nice to have: Spark, Hadoop, GCP, Pub/Sub, Big Query, Kafka, Juniper, Apache NiFi, Hive, Impala, Cloudera, 

SKILLS & EXPERIENCES YOU NEED TO GET THE JOB DONE

• Experience with tools like: TensorFlow, PyTorch, MLflow, Kubeflow or similar
• Experience managing data pipelines (Airflow)
• Knowledge of DevOps practices (CI/CD, monitoring, automation)
• Proficiency in Python (with ML libraries) and Git.
• Experience with model monitoring solutions (e.g. Prometheus, Grafana).
• Experience with Apache Spark, Hadoop or other big data tools is a huge plus!
• Great communication skills in English (both written and spoken)
• Problem solver, team player with positive attitude! :) 
• Experience in financial services will be also beneficial!
• University degree in computer science, mathematics, natural sciences, or similar field and relevant working experience

WHY JOIN CAPCO?

• Employment contract and/or Business to Business - whichever you prefer
• Possibility to work remotely
• Speaking English on daily basis, mainly in contact with foreign stakeholders and peers
• Multiple employee benefits packages (MyBenefit Cafeteria, private medical care, life-insurance)
• Access to 3.000+ Business Courses Platform (Udemy)
• Access to required IT equipment
• Paid Referral Program
• Participation in charity events e.g. Szlachetna Paczka
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
• Being part of the core squad focused on the growth of the Polish business unit
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
• A work culture focused on innovation and creating lasting value for our clients and employees

ONLINE RECRUITMENT PROCESS STEPS*

• Screening call with the Recruiter
• Technical interview: first stage
• Client Interview
• Feedback/Offer