Global Practice Director

US - MICHIGAN - BIRLASOFT OFFICE, US

Birlasoft

At Birlasoft we combine the power of domain, enterprise, and digital technologies to reimagine business potential. Surpassing expectations, breaking convention!

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Generative AI Leader

Type: FTE

Location: Across USA

The Possibilities are Endless When You Challenge The Norm

Birlasoft combines the power of domain, enterprise, and digital technologies to reimagine business processes for customers and their ecosystem. Its consultative and design thinking approach makes societies more productive by helping customers run businesses. As part of the multibillion-dollar diversified CK Birla Group, Birlasoft with its 12,500+ professionals, is committed to continuing the Group’s 162-year heritage of building sustainable communities.

Position Overview:

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 developing Gen AI solutions, Advisory, Solutioning, Presales, Delivery and Global experience. Understand client needs and develop relationships with key client stakeholders, from the working individual contributor level all the way to leadership. Manage client expectations and collaborate with account management teams to ensure successful data delivery and integration.

Role & Responsibilities:

  • Be the face of our Generative AI capabilities for clients. Proactively work with Client Partners to grow Generative AI footprint in our clients and position Birlasoft as a leading solution provider in this space. Actively search for opportunities to expand business within existing accounts and help win new clients.
  • Proactively develop differentiated Generative AI solutions & Service Offerings. Identify, assess, and develop Generative AI and AI/ML applications by applying key industry tools, techniques, and methodologies.
  • Experience in more than one domains (Manufacturing or BFSI or LSS or ENU)
  • Building new technology capabilities, and building team competencies
  • 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, especially on Generative AI
  • Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.

 

 

Behavior Competencies

  • Consulting and Advisory focus with ability to interact with and present to senior and mid-level client stakeholders
  • Strong analytical, creative, problem-solving, and critical thinking skills 
  • Detail-oriented team player who can consistently provide valuable suggestions and solutions in areas of analytical solutions
  • Leadership skills and Can-do attitude to ensure that high quality solutions are being developed by diverse Birlasoft teams
  • Strong verbal and written communication as well as interpersonal skills
  • Conceptual thinking to ensure all parts of an application function together as intended

Requirements:

  • Bachelor's Degree with 20+ years of experience.
  • Proven experience as an Enterprise Architect, Solution Architect, or a similar role, with a focus on AI/ML and generative AI.
  • Strong understanding of generative AI techniques, including deep generative models, autoregressive models, and reinforcement learning for generative tasks.
  • Experience of machine learning methodologies including advanced analytics tools (such as R and Python), ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
  • 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.
  • 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
  • Strong understanding of Azure cloud technology including Cognitive Services viz. Vision, Speech, Language, Decision, Search and GenAI and its implementation

Why Join Us:

  • Opportunity to work with leading companies and cutting-edge technologies.
  • Collaborative and inclusive company culture.
  • Competitive salary and comprehensive benefits package.
  • Professional growth and development opportunities.

 

If you are a strategic thinker with a passion for client success we invite you to apply for this exciting opportunity. Join us in driving innovation and making a difference through exceptional IT services.

Birlasoft is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Autoregressive models AWS Azure BERT Consulting Data Mining Deep Learning Engineering Generative AI Generative modeling Keras LLMs Machine Learning OpenAI Open Source Python PyTorch R Reinforcement Learning Research SageMaker TensorFlow Unstructured data

Perks/benefits: Career development Competitive pay Startup environment

Region: North America
Country: United States

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