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 contractNumerous opportunities for personal and professional development and advancement within the company by taking part in interesting and challenging projectsModern and friendly work environment with open door policyProfessional 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 colleaguesPrivate medical care, social benefits system, life insuranceCompetitive compensation package adjusted to candidate’s experience and qualificationsFlexibility in work arrangement

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