Senior Technical Lead - Traditional ML

HCL Technologies Limited; San Antonio, Northern (TX, KY); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) retirement plan

Paid time off

Job summary

HCL Technologies Limited is seeking an expert to develop, optimize, and deploy advanced ML and NLP solutions focused on time series forecasting. You will apply Python, distributed data processing, and robust evaluation to deliver predictive models within a collaborative development team.

More senior responsibilities include integrating large-scale streaming data with Kafka/Spark, optimizing deployment pipelines with Airflow and Hadoop, and ensuring best practices and high-quality code throughout

Qualifications

• Advanced proficiency in machine learning and natural language processing, with solid experience in time series analysis and forecasting.
• Strong skills in Python programming, including NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, XGBoost, and LightGBM.
• In-depth knowledge of distributed data processing with Apache Spark and real-time data integration using Apache Kafka.
• Solid understanding of ML model evaluation metrics and techniques, including cross-validation and performance optimization.
• Experience with workflow orchestration tools such as Apache Airflow and big data platforms like Hadoop.
• Advanced proficiency in NLP libraries including NLTK and SpaCy.

Responsibilities

• Develop and implement time series forecasting models using Python, scikit-learn, TensorFlow, and StatsModels, optimizing for accuracy and scalability.
• Integrate and process large-scale streaming data with Apache Kafka and Spark, enabling real-time model training and inference.
• Evaluate machine learning models using cross-validation, ROC/AUC, Precision/Recall, F1-score, and confusion matrix to ensure robust predictive performance.
• Apply advanced NLP techniques with NLTK and SpaCy to extract and preprocess relevant features for forecasting tasks.
• Optimize model deployment pipelines using Apache Airflow and Hadoop, ensuring efficient workflow orchestration and data management.
• Collaborate within the development team to troubleshoot, refine, and enhance ML solutions, ensuring adherence to best practices and coding standards.

Skills

ML & NLP

Python

Distributed data processing

Model evaluation

NLP libraries

Tools

Spark

Kafka

Airflow

Hadoop

Job description

This role is accountable for developing, optimizing, and deploying advanced machine learning and natural language processing solutions focused on time series forecasting. The individual applies solid expertise in Python, distributed data processing, and ML model evaluation to deliver complex predictive models, ensuring technical excellence and successful project outcomes within the development team.

Key Responsibilities

1. Develop and implement time series forecasting models using Python, scikit-learn, TensorFlow, and StatsModels, optimizing for accuracy and scalability.
2. Integrate and process large-scale streaming data with Apache Kafka and Spark, enabling real-time model training and inference.
3. Evaluate machine learning models using cross-validation, ROC/AUC, Precision/Recall, F1-score, and confusion matrix to ensure robust predictive performance.
4. Apply advanced NLP techniques with NLTK and SpaCy to extract and preprocess relevant features for forecasting tasks.
5. Optimize model deployment pipelines using Apache Airflow and Hadoop, ensuring efficient workflow orchestration and data management.
6. Collaborate within the development team to troubleshoot, refine, and enhance ML solutions, ensuring adherence to best practices and coding standards.

Skill Requirements

1. Advanced Proficiency In Machine Learning And Natural Language Processing, With Solid Experience In Time Series Analysis And Forecasting.
2. Strong Skills In Python Programming, Including Numpy, Pandas, Scikitlearn, Tensorflow, Pytorch, Xgboost, And Lightgbm.
3. Indepth Knowledge Of Distributed Data Processing With Apache Spark And Realtime Data Integration Using Apache Kafka.
4. Solid Understanding Of Ml Model Evaluation Metrics And Techniques, Including Crossvalidation And Performance Optimization.
5. Experience With Workflow Orchestration Tools Such As Apache Airflow And Big Data Platforms Like Hadoop.
6. Advanced Proficiency In Nlp Libraries Including Nltk And Spacy.

Other Requirements

1. Optional But Valuable:
2. Certifications Such As Tensorflow Developer Certificate
3. - Aws Certified Machine Learning � Specialt

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 2026totaled $14.8billion.

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.