MLops Architect

Job Description:

Responsibilities

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

Education and Competencies

• Bachelor or Masters 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 DevOps, 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: You should have a strong understanding of machine learning algorithms and data science concepts is necessary. This includes data cleaning, preprocessing, feature engineering, model training, and evaluation.
• Experience with Spark: Experience with Spark for big data processing is important. This includes knowledge of Spark SQL, DataFrames, and MLlib.
• Experience with Machine Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, Keras, etc., is important.
• Knowledge of DevOps Practices: Understanding of DevOps practices like CI/CD is important. Familiarity with  GitHub and Azure DevOps would be a plus.
• Soft Skills: Good communication skills to explain complex concepts to non-technical stakeholders, problem-solving skills, and ability to work in a team are also important.

What we offer:

• Full-time employment contract
• 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 open 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

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