Chennai, Tamil Nadu
Job Summary

We are seeking a talented and experienced AI/ML Architect to join our growing Engineering Product Development team. In this role, you will play a pivotal role in leveraging AI/ML technologies to develop innovative and cutting-edge solutions for our engineering products, including applications utilizing Generative AI.

Key Responsibilities
Design and implement scalable, productive, and secure AI/ML solutions for engineering products.
Collaborate with cross-functional teams (engineers, data scientists, product managers) to identify opportunities for AI/ML applications and translate business requirements into technical specifications.
Develop and implement data pipelines for AI models, including data preprocessing, transformation, and feature engineering.
Architect and build AI models using various algorithms and frameworks, including Generative AI models.
Optimize and fine-tune models to improve accuracy, performance, and efficiency.
Deploy and monitor AI models in production using Microsoft Azure platform.
Develop best practices and guidelines for AI/ML development and deployment within the organization.
Stay up to date with the latest advancements in AI/ML technologies and research.
Collaborate with other architects and engineers to ensure technical consistency and integration across different systems.
Document technical solutions and provide ongoing support to the development team.
Skill Requirements
Master's degree in Computer Science, Engineering, or a related field.
10+ years of total SW development experience.
5+ years of experience in designing and implementing AI/ML solutions.




Strong expertise in Python and experience with other programming languages like Java, C++, or R.
Proficiency in Python and key ML/NLP libraries (Pandas, Scikit-Learn, NumPy, NLTK, SpaCy, SciPy).
Understanding of machine learning / NLP / Deep Learning concepts and frameworks
Experience with prompt engineering / Embeddings / Chunking / Vector database
Experience with data storage solutions (preferably PostgreSQL)
Exposure in BI tools, preferably PowerBI
Exposure to statistics concepts
Model Optimization & Finetuning: Skilled in techniques to improve model performance, efficiency, and reduce bias.
Version Control & Project Management: Familiarity with version control systems like Git and project management tools like JIRA.
Proven experience in model optimization and finetuning.
Advanced knowledge of machine learning and deep learning algorithms.
Deep understanding of Microsoft Azure platform and experience with Azure AI services.
Experience with data engineering and building data pipelines.
Solid software engineering principles and experience in building scalable and maintainable applications.
Excellent communication, collaboration, and problem-solving skills.
Passion for applying AI/ML technologies to solve complex engineering problems.
Experience with Generative AI models.
Knowledge of cloud platforms like AWS or GCP (preferred).
Experience with DevOps principles and tools (preferred).
Domain knowledge of the engineering industry (preferred).
Other Requirements

None

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📌 Senior Technical Specialist (India)
🏢 HCLTech
📍 India