Machine Learning Engineer

HCLTech; San Antonio (TX); On-site; USD 100,000 - 148,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

Employee assistance program

401(k) retirement plan

Paid time off

Paid holidays

Job summary

HCLTech is seeking a highly talented Machine Learning Implementation Engineer / MLOps Engineer to join our team in advancing the technological world through innovation and creativity. This is a full-time onsite role in the United States.

You will support end-to-end ML model deployment, design pipelines with Python and SQL, set up OpenShift and Docker, and collaborate with data scientists, data engineers, model owners, platform teams, governance teams, and business stakeholders to deliver

Qualifications

• Hands-on experience implementing and operating ML models in enterprise environments.
• Strong Python and SQL skills with experience building ML pipelines.
• Familiarity with OpenShift, Docker, GitLab, Snowflake, Kafka, DBT and Control‑M.

Responsibilities

• Support end-to-end ML model implementation, deployment, and operationalization.
• Design and enhance ML pipelines using Python, SQL and enterprise frameworks.
• Set up OpenShift, Docker, service accounts, libraries and model artifacts.
• Develop and monitor Control‑M workflows for data prep, batch scoring and execution.
• Build data pipelines with Snowflake and relational databases; ensure real-time scoring.
• Support CI/CD deployment, production releases, testing and incident resolution.
• Maintain runbooks, diagrams and handover materials; collaborate with stakeholders.

Skills

Python

SQL

ML pipelines

MLOps

CI/CD

OpenShift

Docker

GitLab

Snowflake

Kafka

DBT

Control-M

Tools

OpenShift

Docker

GitLab

Snowflake

Kafka

DBT

Control‑M

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: $100000

Pay Range Maximum: $148000

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 [e-mail] 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.