As a Technical Architect/Senior Technical Architect, you will drive innovation by implementing advanced AI models, including large language models (LLMs), and harnessing cloud technologies like Azure, AWS, or GCP to deliver robust AI-powered solutions.

Responsibilities

• Lead the design, development, and deployment of generative AI applications and machine learning systems.
• Collaborate with cross-functional teams to identify and integrate valuable datasets into AI models.
• Build, fine-tune, and customize large language models (LLMs) such as GPT-3.5, GPT-4, or similar from OpenAI, AWS Bedrock, and Google Vertex AI.
• Develop rapid Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) leveraging generative AI services like Azure OpenAI, Bedrock, and Vertex.
• Apply natural language processing (NLP), natural language generation (NLG), and advanced LLM techniques to transform text data into actionable insights.
• Preprocess structured and unstructured data, ensuring data quality and integrity for model training.
• Collaborate with data engineering teams to implement machine learning pipelines and deploy AI models in production.
• Optimize AI models for specific business needs, such as content generation, sentiment analysis, and decision-making.
• Stay up-to-date with the latest advancements in AI/ML technologies and frameworks, ensuring the implementation of state-of-the-art solutions.

Key Requirements

Technical Skills

AI/ML Expertise

• 8+ years of hands-on experience in building and deploying AI/ML models.
• Proficiency in large language models (LLMs) such as GPT-3.5, GPT-4, BERT, LSTMs, or other advanced models.
• Experience in creating AI applications that leverage Azure Cognitive Services or equivalent cloud-based AI tools.

Programming and Data Engineering

• Proficiency in Python, with strong programming and statistical analysis skills.
• Knowledge of R, SQL, Hive, and Pig, and familiarity with Scala, Java, or C++ is a plus.
• Expertise in machine learning algorithms, data preprocessing, and feature engineering.

Cloud and AI Services

• Deep understanding of Azure, AWS, or GCP cloud platforms, including their cognitive services (e.g., Vision, Speech, Language).
• Hands-on experience with generative AI tools such as OpenAI’s GPT, AWS Bedrock, and Google Vertex AI.
• Proven ability to train, fine-tune, and deploy distributed OpenAI models such as DaVinci, Curie, Babbage, and ADA.

Mandatory Skills

• Ability to design data pipelines and integrate new datasets for AI/ML models.
• Extensive experience in transforming natural language data into actionable features using NLP and LLM techniques.
• Proven track record of delivering projects leveraging GenAI platforms like Azure OpenAI, Bedrock, or Vertex.

Desirable Skills

• Expertise in building predictive models and leveraging machine learning algorithms to identify trends and patterns.
• Familiarity with tools and frameworks for text representation (n-grams, bag-of-words, sentiment analysis, etc.).
• Knowledge of distributed machine learning and AI tools in open-source environments and cloud ecosystems.

Why Join Us?

At Coforge, we are at the forefront of AI innovation, shaping the future of intelligent systems. Joining our team means working in a dynamic environment where your expertise will directly impact our clients and drive transformative results. This role is perfect for those who thrive on solving complex challenges and pushing the boundaries of AI capabilities.

What We Offer

• Competitive compensation package tailored to your skills and experience.
• Opportunity to work on cutting-edge AI technologies with global impact.
• A collaborative work environment that encourages continuous learning and growth.
• Access to industry-leading tools and resources for developing state-of-the-art AI solutions.

How to Apply

If you are passionate about AI and eager to work with a team dedicated to innovation and excellence, we would love to hear from you. Apply now to be a part of our journey to revolutionize AI applications in the enterprise space.