Generative ai architect

3 days ago

Noida, India Knack Consulting Services Pvt Ltd. Full time
Company Description :
Knack Consulting Services Pvt. Ltd. is a cohesive Human Resource Solutions organization with its head office in New Delhi, India. KCS looks beyond the formula of merely supplying resumes or placing people and works on the dynamics of scouting the right talent for the right positions. We emphasise on understanding our clients & candidates in order to find the precise blend of technical & cultural fitment. With ever-evolving technology, consumers becoming more knowledgeable, your business needs the most capable minds that have the ability to churn out new ideas and keep your flag flying high. We are a steady and reliable partner to many companies across the globe.
Job Description :
Experience: 12+ years
Location- Greater Noida
Technical Skills:
Total Experience - 12+ 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 algorithms
Behavioural Skills:
Passionate about technology and customer success with excellent communication and articulation skills
Bring innovation by coming up ideas, differentiators, and development of tools / accelerators to differentiate us in the market.
Support new business activities, proposal creation and engagement scoping
Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences.
Research, curate, and record tutorials on various applications of data science and machine learning
Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences.
Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects
Responsibilities:
Independently build and demo rapid generative AI demos and solutions with short notices
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.
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
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams

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