About this opportunity
HCLTech lists this Machine Learning Engineer opportunity in san antonio, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
HCLTech is looking for a highly talented and self‑motivated Machine Learning Implementation Engineer / MLOps Engineer to join it in advancing the technological world through innovation and creativity.
Position Type: Full‑time (Onsite)
Role/Responsibilities
Support the end‑to‑end implementation, enhancement, deployment, and operationalization of machine learning models.
Design and enhance ML pipelines using Python, SQL, and approved enterprise frameworks.
Set up and support OpenShift, Docker, service accounts, libraries, model artifacts, and execution workflows.
Develop and monitor Control‑M workflows for data preparation, batch scoring, feature extraction, and model execution.
Build and validate data pipelines using Snowflake, relational databases, and other enterprise data platforms.
Implement real‑time scoring, output validation, logging, monitoring, exception handling, and downstream delivery.
Support model migration, testing, CI/CD deployment, production releases, troubleshooting, and incident resolution.
Maintain technical documents, runbooks, workflow diagrams, wiki updates, and operational handover materials.
Collaborate with data scientists, data engineers, model owners, platform teams, governance teams, and business stakeholders.
Strong hands‑on experience with Python, SQL, machine learning model implementation, data pipelines, orchestration, and MLOps.
Experience deploying and supporting machine learning models in enterprise environments.
Experience with OpenShift, Docker, GitLab, Snowflake, Kafka, DBT, and Control‑M.
Experience with CI/CD, model monitoring, testing, production QA, and UAT support.
Experience working with cloud or on‑premises machine learning environments.
Desired Qualifications
Experience with real‑time model scoring and batch model execution.
Experience with model migration, enhancement, refactoring, modernization, and platform upgrades.
Strong documentation, troubleshooting, communication, and stakeholder‑collaboration skills.
Pay and Benefits
Pay Range Minimum: $
Pay Range Maximum: $
HCL is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.
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.
How You’ll Grow
At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior‑level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
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Worksite address
san antonio, TX, 78208, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.