Technical architect

2 days ago

Noida, India Coforge Full time
Designation: Technical Architect/Senior Technical Architect
Skills : GEN AI, Python
Experience: 12 yrs- 18 yrs
Location: Greater Noida
Coforge is looking for a Gen AI Lead to build both Traditional AI/ML as well as Generative AI based systems.
The candidate should be highly skilled in programming & statistics with the ability to confidently assess, analyze, and organize large amounts of data.
Technical Skills:
• Total Experience - 8+ years with hands on experience with building language models, machine learning and AI models leveraging industry tools, products, and Azure cognitive services.
• Deep and hands-on expertise in (as an individual contributor) Undertaking data collection, Data mining, preprocessing and analysis of structured and unstructured data.
• Hands-on expertise in large language models (LLMs/LSTMs/BERT) that can perform complex reasoning in few- and zero-shot settings by generating intermediate chain of thought (Co T) reasoning steps e.g.
• Experience of building / customizing and fine-tuning AI models including LLM models via Gen AI studios (Open AI, Vertex or Bedrock) extended through Azure or AWS or GCP for rapid Po Cs
• Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
• Deep and hands-on experience in applying machine learning algorithms.
• Strong data science and data engineering background both with open source and cloud distributed machines learning and AI tools especially Azure Cognitive Services and Azure Machine Learning
• Strong understanding of cloud technology including Cognitive Services viz. Vision, Speech, Language, Decision, Search and its implementation
• Proven experience with, and applied knowledge of, at least one scripting language, such as Python, or R
• Deep expertise in building and fin-tuning large language models of Open AI e.g. GPT 4, GPT 3.5, DALL-E, Whisper, Embeddings, Moderation, and Codex etc.
• Expertise in completions, embeddings, edits, transcriptions, translations, fine-tunes, and moderations across the several large language models especially those of Open AI, Bedrock or Vertex
• Hands-on training and fine-tuning experience with distributed Open AI models such as Da Vinci, curie, Babbage, ADA
• Must have delivered at least 1-2 projects leveraging Gen AI services such as Azure Open AI or Bedrock or Vertex services
• Deep understanding of text / content representation techniques (such as n-grams, bag of words, sentiment analysis etc.), statistics and classification algorithm.
Mandatory Skills
• Serve as lead data strategist/scientist/engineer to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products with Open AI (Azure), Bedrock (AWS) or Vertex (GCP).
• Build AI and ML models for generative AI applications with LLM models via Open AI (Azure), Vertex (GCP) and Bedrock (AWS).
• Transforming natural language data into useful features using NLP/NLG/LLM techniques to feed classification algorithms.
Desirable Skills
• Work with several generative AI tools, stacks and products such as Open AI (Azure), Bedrock (AWS) or Vertex (GCP) to quickly build and roll-out multiple use Po Cs and MVPs.
• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
Skills to be evaluated on
• Serve as lead data strategist/scientist/engineer to identify and integrate new datasets that can be leveraged through our product capabilitiesand work closely with the engineering team in the development of data products with Open AI (Azure)Bedrock (AWS) or Vertex (GCP)
• Build AI and ML models for generative AI applications with LLM models via Open AI (Azure)Vertex (GCP) and Bedrock (AWS)
• Transforming natural language data into useful features using NLP/NLG/LLM techniques to feed classification algorithms.

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