Project Role : Large Language Model Architect
Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : Machine Learning (ML), Data Science
Minimum
18 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
AI Powered Tech Talent
As a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
Develop and implement machine learning algorithms, models, and computational systems design and build scalable data pipelines to support model training and production with DevOps & MLOps
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
Justify the value of model approaches in business problems
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production
Bachelor's Degree or equivalent
Minimum of 7 years of experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.
Minimum of 7 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
Minimum of 5 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks
Minimum of 4 years of experience in building and deploying AI/ML based software to a cloud environment.
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.
Experience with the following programming languages: Python, C++, Java, R, SQL
Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
Strong client-facing skillsets in a consulting environment
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation
MS or PhD in related field preferred (computer science, engineering, etc.)
As a Large Language Model Architect, a typical day involves designing and developing advanced language models capable of understanding and generating human-like text. This role requires envisioning the architecture of neural networks that process vast amounts of unstructured text data, ensuring the models are optimized for performance and scalability. Collaboration with cross-functional teams to align model capabilities with business objectives and continuous refinement of model parameters to enhance accuracy and efficiency are key aspects of the daily workflow. The role demands a strategic approach to managing complex data and computational resources to deliver innovative language solutions.
Roles & Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have influencing and Advisory skills.
- Engage with multiple teams and responsible for team decisions.
- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.
- Lead the development and implementation of scalable language model architectures that meet organizational goals.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
- Collaborate with stakeholders to translate business requirements into technical solutions that leverage large language models.
- Continuously evaluate emerging technologies and methodologies to enhance model performance and maintain competitive advantage.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Good To Have Skills: Experience with Machine Learning (ML), Data Science.
- Strong expertise in designing and tuning neural network architectures for natural language processing tasks.
- Experience in handling large-scale unstructured text datasets and optimizing data pipelines for model training.
- Ability to integrate language models into production environments ensuring reliability and scalability.
- Familiarity with distributed computing frameworks and cloud-based analytics platforms to support model deployment.
Additional Information:
- The candidate should have minimum 18 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Chennai office.
- A 15 years full time education is required.
