ML Ops Technical Specialist - DevOps, Python
United States
Job Description
ML Ops Technical Specialist - DevOps, Python
Phoenix, Arizona

Job Summary

Responsibilities:Provide thought leadership, engineering expertise and direction to the engineering teams; be versatile and be able to collaborate with business stakeholders, product teams and cross functional technology groups to drive continuous delivery.Drive user story analysis and elaboration, design and develop software applications, and test and build automation tools.Own all technical aspects of software development (architecture, design, and development of systems) for assigned applications.Perform hands-on software development, writing code, API specs, doing proof of concepts, conducting code reviews, and testing in ongoing sprints.Drive consistent development practices - tools and common components.Develop deep understanding of tie-ins with other systems and platforms within the supported domains.Work with technical product managers contributing to blueprints and assisting with annual planning of feature sets.Identify opportunities for adopting new technology to solve existing needs and predicting future challenges.Effectively communicate to internal and external business partners on solution design.Functional SkillsStrong analytical & strategic thinking skillsAbility

Key Responsibilities

to interpret technical /business objectives and challenges.Porting/Software ConfigurationAgile MethodologiesSoftware development/ testingObject oriented analysis and design across multiple platforms.Designing High Availability applicationsPreferred:·Product Engineering KnowledgeMinimum QualificationsBachelor’s Degree in Computer Science, Computer Science Engineering, or related field required; advanced degree is preferred.Preferred Qualifications8+ years of commercial software development experienceProficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Java and PythonHands-on experience with Spring Boot, Micro-services, Kafka, Relational and/or NoSQL databases.Experience in developing, hosting solutions on Google Cloud Platform- Google Cloud Storage , Big Query and Vertex AI and leveraging GCP services for specific feature implementations.Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/CD pipeline.Experience with automated release management using Maven, Salt, Git, JenkinsExperience in Architecture design and modeling should possess strong skills in designing and modeling complex systems and architectures.Good understanding of web

Skill Requirements

technologies (HTTP, Apache) and familiarity with Unix/LinuxGood understanding of data structures, algorithms, and design patternsExperience on the Python would be a plus.Great written communication and documentation abilitiesLooks proactively beyond the obvious for continuous improvement opportunities.Knowledge & experience of Contact center ecosystem/Genesys Framework and Architecture, familiarity with the Genesys ecosystem would be preferrable.Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.Secondary Skills:Experience building and integrating AI/ML solutions into production systemsFamiliarity with machine learning frameworks and libraries such as TensorFlow, PyTorchHands-on experience with Generative AI technologies (e.g., LLMs), prompt engineering, and AI-powered application developmentExperience leveraging platforms such as Vertex AI for model development, deployment, and monitoringAwareness of responsible AI practices, including model governance, bias mitigation, and explainability

Other Requirements

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Maximum Salary (US):  172000
Minimum Salary (US):  87000
Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. 

 

Compensation and Benefits

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.