Generative AI Practice Leader

Overview

On Site
$220
Full Time
10% Travel

Skills

Oil & Gas
Large Language Models (LLMs)
Generative Artificial Intelligence (AI)
International experience
Business development
Revenue growth
Data Science
Machine Learning (ML)
Language models
Data collection
Data mining
Unstructured data
Data engineering
Open source
Amazon SageMaker
Accountability
FOCUS
Presales
Marketing
Management
Communication
Research
Artificial intelligence
Microsoft Azure
BERT
Reasoning
Customization
Amazon Web Services
Governance
Algorithms
Cloud computing

Job Details

Generative AI Practice Leader

The Generative AI Practice Leader is accountable for driving growth, strategic positioning and to ensure success in the future (e.g., practice focus areas, offerings, capabilities). Extensive experience in Advisory, Solutioning, Presales, Delivery and Global experience.

Location Houston/NYC

Relevant Experience 10+years

Expectations

  • Responsible to formulate business development strategies on Generative AI for both customers and Birlasoft Gen AI practice.
  • Experience in Oil & Gas domain would be a plus.
  • Create differentiated solution & Services offerings and translate into revenue growth.
  • Drive strategic account growth and be responsible for the delivery of consulting services to our customers.
  • Actively search for opportunities to expand business within existing accounts and help win new clients.
  • Building new technology capabilities, and building team competencies
  • Marketing of technology & domain solutions / service offerings to internal/external stakeholders
  • Manage business relationship with the technology partners & start-up eco systems and demonstrate edge over competition.
  • Passionate about technology and customer success with excellent communication and articulation skills
  • 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 work effectively in a dynamic, research-oriented group that has several concurrent projects.

Technical Skills

  • At least 5+ years of hands-on experience with building language models, machine learning and AI models leveraging industry tools, products, and / or 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 (CoT) reasoning steps.
  • Experience of building / customizing and fine-tuning AI models including LLM models via OpenAI (Azure), Bert (AWS) for rapid PoCs
  • Experience on LLM Model Governance, LLMSecOps, Hallucination and bias handling
  • 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, Azure Machine Learning and AWS Sagemaker and Bedrocks