Senior ML Ops Engineer

1 day ago

Warszawa, Czech Republic Capco Poland Full time

SKILLS & EXPERIENCES YOU NEED TO GET THE JOB DONE

  • 6+ years of experience developing and deploying classical supervised models, ideally in on-prem environments
  • Proficient with main Python analytics and ML libraries (numpy, pandas, scikit-learn, keras / tensorflow / pytorch)
  • Experience with MLOps platforms like MLFlow / Databricks
  • Experience with Linux (especially RedHat distribution) and version control (git)
  • Experience with containerization technologies (docker/podman)
  • Familiarity with DevOps pipelines (especially Azure DevOps Services)
  • Eager to learn

Nice to have: 

  • Experience in data modelling and database management.
  • Experience managing RDBMS (preferably PostgreSQL).
  • Familiarity with Airflow or similar data orchestration services
  • Familiarity with distributed processing frameworks, esp. Hadoop and Spark/PySpark
  • Familiarity with kdb+/q
  • Familiarity with financial markets, esp. fixed income

TECH STACK: Python, ML libraries (Numpy, pandas, scikit-learn, keras / tensorflow / pytorch), ML Flow, Databricks, Linux (RedHat distribution), GIT, Docker, Podman, Azure Devops PostgreSQL, Airflow, Pyspark, Spark, kdb+/q

Nice to have: Airflow, PostgreSQL, Hadoop, Spark, Pyspark, kdb+/q, Financial markets (pref. fixed income).

*We are looking for Poland based candidate. 

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 Java, Python, Spring, Hadoop, Angular, React, Android, Google Cloud, Selenium, SQL, Docker, Kubernetes 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 Engineeryou 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.

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, SMOOTH RECRUITMENT PROCESS STEPS

  • Screening call with the Recruiter
  • HackerRank Online Test
  • Client Interview (3 stages)
  • Feedback/Offer
,[This role bridges the gap between data science and IT operations, ensuring seamless integration of machine learning and other data science modules into operational workflows., Streamlines and automates data science products lifecycle from development to deployment and monitoring., Designs, develops and maintains tools enabling reproducible experimentation, models versioning, automated deployment, serving etc., Tests, refactors, optimizes, and packages the code developed by data scientists. Improves, deploys, monitors and maintains developed models., Builds new integrations with FM systems (PDS, ION, S2BX) allowing to publish signals generated by the data science modules., Provides support and guidance to other team members on MLOps best practices.] Requirements: Python, Machine learning, MLOps, Linux, Red Hat, Git, Docker, Podman, Azure DevOps, Data modelling, RDBMS, Airflow, Hadoop, PySpark, Spark, kdb+/q Additionally: Private healthcare, Employee referral bonus, MyBenefit, Udemy for business.

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