Technical Lead

Job description

Hands-on experience in developing LLM-based applications for both front-end and back-end development. Hands-on experience on design, and optimizing LLM, natural language processing (NLP)systems, frameworks, and tools. Hands-onAI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML. Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization. Experience in creating and deploying code libraries using functions and classes in Python in AI product-focused development. Comfortable working in the cloud and high-performance computing environments (e.g.,AWS/Azure/ GCP, Databricks, Apache Spark). Well-versed in software development and code quality best industry practices. Experience working with Agile Development methodologies. Key Responsibilities Hands-on experience in developing LLM-based applications for both front-end and back-end development. Hands-on experience on design, and optimizing LLM, natural language processing (NLP)systems, frameworks, and tools. Hands-onAI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML. Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization. Experience in creating and deploying code libraries using functions and classes in Python in AI product-focused development. Comfortable working in the cloud and high-performance computing environments (e.g.,AWS/Azure/ GCP, Databricks, Apache Spark). Well-versed in software development and code quality best industry practices. Experience working with Agile Development methodologies. Skill Requirements Consults and supports the implementation of new or changed services for increased business productivity, including the discussion, analysis and acceptance of demand and supporting the planning for the development and implementation of service changes Defining the vision for a product feature through consultation with key Business stakeholders, and external and internal collaborators Responsible for understanding business needs and identifying how best to meet those needs. This includes working with business and technology areas to gather requirements for development and management. Other Requirements BS/MS in Information Technology, Business Informatics, Computer Science, or related fields B.E./B. Tech / M. Tech/ MCA (Computer Science/Electronics &Communication/Electrical), a masters in computer science, artificial intelligence, or a related field, or a specialization in natural language processing is preferred. 10-12years of IT experience with a min of 3+ years in Data Science (AI/ML) with a specialization in NLP. Strong programming skills in languages such as Python or Java Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is highly desirable. Solid understanding of natural language processing techniques, including language modeling, text classification, sentiment analysis, and machine Good working project experience in cloud computing i.e., AWS/ Azure/GCP cloud Services including VPCs, EBS, ALBs, NLBs, EC2, S3, and so on so forth. Proficiency in working with UNIX/Linux environments and command-line tools. Apply now Information at a Glance Why HCLTech? 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 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. 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