Senior Technical Lead - Computer Vision

This role is responsible for driving the development and deployment of advanced computer vision solutions within complex projects.

The individual applies advanced proficiency in machine learning, deep learning, and vision algorithms to deliver robust models, optimize workflows, and provide strategic technical guidance to team members.

They ensure the successful delivery of high-impact solutions aligned with organizational goals.

Key Responsibilities

• Develop and optimize computer vision models using Python, Tensor Flow, and Py Torch, applying advanced proficiency in supervised and unsupervised learning techniques to solve complex image and video analysis tasks.
• Implement scalable data pipelines with Apache Spark and Kafka, ensuring efficient ingestion, processing, and transformation of large-scale visual datasets for model training and inference.
• Evaluate machine learning models using cross-validation, ROC/AUC, F1-score, and confusion matrix, providing advanced insights to improve model accuracy and reliability.
• Apply deep learning frameworks and libraries such as scikit-learn, XGBoost, and Light GBM to enhance feature extraction and classification performance in vision projects.
• Guide team members in adopting best practices for code quality, model deployment, and performance optimization, leveraging tools like Apache Airflow for workflow automation.
• Collaborate with internal stakeholders to define technical requirements and deliverables, ensuring alignment of vision solutions with project objectives and compliance standards.
• Skill Requirements
• 1. Advanced Proficiency In Machine Learning (Vision), Deep Learning, And Computer Vision Algorithms.
• 2. - Solid Experience With Python, Tensorflow, Pytorch, And Scikit-Learn For Model Development And Evaluation.
• 3. - In-Depth Knowledge Of Data Engineering Tools Including Apache Spark, Kafka, and Airflow For Scalable Ml Workflows.
• 4. - Strong Understanding Of Model Evaluation Metrics Such As Roc/Auc, Precision/Recall, F1-Score, and Confusion Matrix.
• 5. - Advanced Skills In Feature Engineering, Supervised/Unsupervised Learning, And Optimization Techniques.
• 6. - Good Familiarity With Numpy, Pandas, Xgboost, Lightgbm, And Related Ml Libraries.
• Other Requirements

• 1. Optional But Valuable

• 2. Tensorflow Developer Certificate
• 3. - Pytorch Certified Develope

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.

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