Machine Learning Engineer

We are looking for an experienced AI/ML Engineer / Data Scientist to design, develop, and deploy advanced machine learning and data science solutions that address complex business challenges. The ideal candidate will have strong expertise in predictive modeling, deep learning, NLP, and large‑scale data analytics, along with hands‑on experience building end‑to‑end ML workflows and production‑ready analytical solutions. Candidates must be located in or willing to work from San Antonio, TX or Plano, TX
.

• Design, develop, and deploy machine learning and advanced analytics solutions for business use cases.
• Gather, analyze, and transform structured and unstructured data to support data‑driven decision‑making.
• Build and optimize predictive models using machine learning, deep learning, and statistical techniques.
• Develop sequence‑based models using RNNs, LSTMs, Transformers, and related architectures.
• Analyze high‑volume clickstream and session‑level data to derive actionable insights.
• Select appropriate modeling techniques based on data characteristics, business requirements, and performance objectives.
• Develop and maintain scalable ML workflows and model pipelines.
• Implement NLP and text analytics solutions using modern libraries and frameworks.
• Monitor, govern, and maintain machine learning models throughout their lifecycle.
• Collaborate with business stakeholders, data engineers, and cross‑functional teams to deliver analytical solutions.
• Write high‑quality, reusable, and well‑tested code following software engineering best practices.
• Build dashboards, visualizations, or GUI‑based interfaces as needed to support business users.
• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 6+ years of experience in Data Science, Machine Learning, or Artificial Intelligence.
• Strong programming experience in Python, R, and SQL.
• Experience with machine learning algorithms including:
• XGBoost
• Decision Trees
• Logistic Regression
• Bayesian Networks
• Clustering Algorithms
• Dimensionality Reduction Techniques
• Experience developing sequence models using RNNs, LSTMs, and Transformers.
• Hands‑on experience with Tensor Flow, Keras, and/or PyTorch.
• Strong knowledge of Natural Language Processing (NLP) and Text Analytics.
• Experience with NLP libraries such as NLTK and Spa Cy.
• Experience building and managing end‑to‑end ML workflows.
• Strong knowledge of Python data science libraries including:
• Num Py
• Sci Py
• Scikit‑learn
• Experience in model deployment, governance, monitoring, and maintenance.
• Strong analytical, problem‑solving, and communication skills.

• Experience with Data Science platforms such as Dataiku, H2O, Azure ML, or similar.
• Experience with cloud platforms including AWS, Azure, or GCP.
• Knowledge of Big Data technologies such as:
• Hadoop
• Hive/HQL
• HDFS
• Spark/Py Spark
• Kafka
• Experience with version control tools such as Git, Git Hub, Git Lab, SVN, or Mercurial.
• Experience building session‑level analytics and clickstream models.
• Experience working in Agile development environments.
• Familiarity with MLOps and production‑grade machine learning deployments.
• Ability to design scalable, enterprise‑level AI and analytics solutions.

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.