Sr. Solutions Architect
3 weeks ago
Locations : Chennai, Noida, Hyderabad, Pune, Mumbai & Bangalore - 10 Positions
Experience : 15+ years
As a GenAI Enablement Specialist, you will play a crucial role in shaping the future of our services. You will collaborate closely with cross-functional teams to identify opportunities for GenAI integration, develop innovative solutions, and drive the adoption of these technologies across our organization.
Key Responsibilities:
Identify opportunities for integrating GenAI into our service offerings and rearchitect existing internal and customer systems to leverage GenAI and AI technologies.
Develop innovative GenAI solutions in collaboration with cross-functional teams and customers.
Drive the adoption of GenAI technologies across the organization.
Skills and Qualifications:
Domain Expertise: Proven experience in one or more of the following domains: software/product engineering, aerospace, automotive, digital manufacturing, life sciences, semiconductor, telecommunications, quality assurance, or field support.
Technical Proficiency: Solid understanding of Python, natural language processing, machine learning, vector databases, analytics, image processing, and the underlying technologies powering large language models.
LLM Skills: Strong foundation in large language models (LLMs) for both online and offline models (e.g., LLaMA2, Mistral, or similar base LLMs on Huggingface). Solid understanding of various fine-tuning and retrieval-augmented generation (RAG) techniques used on base LLM models.
Cloud Services: Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and managing data infrastructure both in public and private modes.
Data Preprocessing & ETL Tools: Skills for extracting meaningful information from large datasets, managing structured, semi-structured, and unstructured data, data wrangling, and feature engineering for GenAI applications. Hands-on experience with ETL tools like Apache NiFi, Talend, and Apache Airflow.
Containerization and CI/CD: Knowledge of containerization technologies (e.g., Docker, Kubernetes) including setting up CI/CD pipelines or deploying GenAI solutions in existing ones. Experience with deploying and orchestrating GenAI solutions in scalable production environments.
Communication & Presentation Skills: Excellent verbal and written communication skills, with the ability to convey technical concepts clearly and accessibly. Experience in delivering compelling presentations to both technical and non-technical audiences.
Content Creation Tools: Proficiency in tools for creating visually appealing and informative content, such as presentation software and document editors.
Flexibility: Ability to adapt to a dynamic environment, staying agile and responsive to evolving market needs.
Outcome-Oriented: Experience working toward measurable outcomes, with success metrics such as adoption rates, impact on key performance indicators, or efficiency improvements.
Industry Experience: Preference for candidates with substantial experience in GenAI, AI/ML, or similar fields, especially those with a record of successful large-scale GenAI implementations.
Training: Ability to train resources in GenAI tools and technologies based on solutions developed in-house or COTS for production usage.
Evangelization: Promote the adoption of our GenAI solutions across customer and delivery teams for production use.
Pilot/POCs: Develop or drive the development/customization of Pilot/POCs to meet customer requirements.
Consultancy: Assess or lead the assessment team to understand the customer’s current status and provide recommendations to meet their GenAI adoption objectives.
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