MLOps Architect Lisboa

MLOps Architect
Lisboa
Lisboa, Lisboa, Portugal

Responsibilities:

• Provide experienced technical consulting and deliver solutions within teams to optimize performance.
• Design and develop architectures,
  -
  - concepts, and demos in support of presales activities for clients.
• Act as a technical lead in Machine Learning projects, ensuring
  - scale machine learning applications.
• Contribute as a technical expert in presales activities and knowledge sharing in the DXC machine learning community.

Education and Competencies:

• Bachelor's or Master's degree required in computer science or equivalent qualification.
• Hands-on experience in delivering and leading Data Science and machine learning projects.
• Experience in programming (Python, SQL, bash).
• Experience with Dev
  Ops, CI/CD, and MLOps automation.
• Experience in cloud architecting and machine learning technologies – Azure (mandatory), AWS (nice to have), and GCP (nice to have).
• Experience in designing machine learning solution architectures.

Requirements:

• Transition Offline Models to Production Systems: Take ML models developed by data scientists and transform them into real production systems.
• Develop and Deploy Scalable Tools: Build scalable tools and services so that our clients can manage ML model training and inference.
• Apply Software Engineering Best Practices: Use practices like continuous integration (CI/CD), automation, and auditing to ensure quality and security in ML systems.
• Knowledge of Machine Learning and Data Science: A strong understanding of machine learning algorithms and data science concepts is necessary, including data cleaning, preprocessing, feature engineering, model training, and evaluation.
• Experience with Spark: Experience with Spark for big data processing is important, including knowledge of Spark SQL, Data
  Frames, and MLlib.
• Experience with Machine Learning Frameworks: Familiarity with frameworks like Tensor
  Flow, Py
  Torch, Keras, etc. , is important.
• Knowledge of Dev
  Ops Practices: Understanding of Dev
  Ops practices like CI/CD is important; familiarity with Git
  Hub and Azure Dev
  Ops would be a plus.
• Soft Skills: Good communication skills to explain complex concepts to
  - technical stakeholders,
  - solving skills, and ability to work in a team are also important.

What We Offer:

• Numerous opportunities for personal and professional development and advancement within the company by taking part in interesting and challenging projects.
• Modern and friendly work environment with an
  - door policy.
• Professional technical and soft skill training programs (internal DXC University, DXC Partners Network, and certification program), opportunity to learn and evolve within a team of experienced colleagues.
• Private medical care, social benefits system, life insurance.
• Competitive compensation package adjusted to candidate’s experience and qualifications.
• Flexibility in work arrangement.