Collect, clean, and preprocess large datasets from various sources.
Perform data wrangling, feature engineering, and handle missing or noisy data.
Work with structured (databases) and unstructured (text, images, audio) data.
Develop and implement machine learning algorithms (classification, regression, clustering, NLP, deep learning).
Build and train AI models using tools such as TensorFlow, PyTorch, scikit-learn, and Keras.
Optimize models for accuracy, speed, and scalability.
Experiment with advanced techniques like CNNs, RNNs, GANs, and Transformers.
Evaluate model performance using metrics such as accuracy, precision, recall, F1 score, etc.
Tune hyperparameters and validate results through cross-validation.
Conduct A/B testing and model explainability checks.
Deploy AI/ML models into production environments using APIs, Docker, Kubernetes, or cloud services (AWS, Azure, GCP).
Integrate models with business applications or customer-facing systems.
Maintain and monitor models post-deployment to ensure consistent performance.
Stay updated with the latest trends in AI, ML, Deep Learning, and Generative AI.
Prototype and experiment with new algorithms or architectures.
Participate in AI research projects, publications, and patent development.
Work closely with data scientists, engineers, and business analysts to understand project requirements.
Translate technical outcomes into actionable business insights.
Document AI solutions, workflows, and processes for reproducibility.
Paid Certifications: In AI, ML, Data Science, and Cloud (AWS, Azure, TensorFlow).
Internal Academies:
HCLTech Learning Academy
Infosys Lex
TCS iON
Access to Courses: Coursera, Udemy, and edX licenses for employees.
Hackathons & Research Labs: Opportunities to experiment with real AI problems.
Mentorship & Career Coaching: Senior experts guide employees for growth.
International Client Projects: Exposure to U.S., U.K., and Europe clients.
On-site Assignments: Short and long-term travel opportunities.
Cross-domain Work: AI applications in healthcare, finance, manufacturing, and retail.
R&D Projects: Work in HCL’s AI Labs and CoE (Center of Excellence).
Access to High-Performance Servers / GPUs: For deep learning model training.
AI Patents & Rewards: Incentives for developing new algorithms or products.
Innovation Bonuses: For automation or AI use-case solutions.
Tech Conferences: Support for attending or publishing in AI events.
Recognition Programs: “Tech Star,” “AI Innovator,” or “HCL Ideapreneur” awards.
Festival Bonuses & Gift Cards: For Diwali, New Year, etc.
Employee Engagement Activities: Sports, cultural events, CSR volunteering.
Food, Transport & Housing Assistance: For on-site employees.
Corporate Discounts: On travel, education, and electronic gadgets.
High Demand Domain: AI-ML skills are among the fastest-growing.
Accelerated Promotions: Based on project impact and innovation.
Cross-functional Movement: Option to shift into Data Science, Cloud AI, or Automation.
Stable Career Path: AI-ML is core to digital transformation initiatives.
🏢 Company Overview Founded: 1976 by Shiv Nadar Headquarters: Noida, Uttar Pradesh, India Employees: Over 227,000 across 60 countries Key People: Roshni Nadar Malhotra (Chairperson), C Vijayakumar (CEO & Managing Director)... Read More