Company Profile:

Coforge is a global digital services and solutions provider, that enables its clients to transform at the intersect of domain expertise and emerging technologies to achieve real-world business impact. A focus on very select industries, a detailed understanding of the underlying processes of those industries, and partnerships with leading platforms provides us with a distinct perspective. Coforge leads with its product engineering approach and leverages Cloud, Data, Integration, and Automation technologies to transform client businesses into intelligent, high-growth enterprises. Coforge’s proprietary platforms power critical business processes across its core verticals. The firm has a presence in 21 countries with 26 delivery centers across nine countries.

Job description:

- Hands-on experience in building language models, machine learning, and AI models leveraging industry tools, products, and Azure Cognitive Services.

- Deep, hands-on expertise as an individual contributor in data collection, data mining, preprocessing, and analysis of structured and unstructured data.

- Hands-on expertise in large language models (LLMs / LSTMs / BERT) capable of performing complex reasoning in few- and zero-shot settings by generating intermediate chain-of-thought (CoT) reasoning steps.

- Experience in building, customizing, and fine-tuning AI models, including LLM models via GenAI studios (OpenAI, Vertex, or Bedrock), extended through Azure, AWS, or GCP for rapid PoCs.

- Programming skills – knowledge of statistical programming languages such as R, Python, and database query languages like SQL, Hive, and Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.

- Deep, hands-on experience in applying machine learning algorithms.

- Strong data science and data engineering background, with expertise in both open-source and cloud-based distributed machine learning and AI tools, especially Azure Cognitive Services and Azure Machine Learning.

- Strong understanding of cloud technologies, including Cognitive Services like Vision, Speech, Language, Decision, and Search, and their implementation.

- Proven experience and applied knowledge of at least one scripting language, such as Python or R.

- Deep expertise in building and fine-tuning large language models from OpenAI (e.g., GPT-4, GPT-3.5, DALL-E, Whisper, Embeddings, Moderation, Codex, etc.).

- Expertise in completions, embeddings, edits, transcriptions, translations, fine-tuning, and moderations across various large language models, especially those from OpenAI, Bedrock, or Vertex.

- Hands-on training and fine-tuning experience with distributed OpenAI models such as DaVinci, Curie, Babbage, and ADA.

- Must have delivered at least 1-2 projects leveraging GenAI services, such as Azure OpenAI, Bedrock, or Vertex services.

- Deep understanding of text / content representation techniques (such as n-grams, bag of words, sentiment analysis, etc.)