Power Evacuation - Solar

• Strong experienced Product Design Profile
• Mandatory (Experience 1) – Must have 8+ YOE in Product Design, with a focus on B2C or B2B2C Products
• Mandatory (Experience 2) – Must have strong experience in Project Management - Using Jira and other similar tools to manage projects efficiently
• Mandatory (Designation) – Must be Manager / Staff or above designation in Current role
• Mandatory (Team Managememt) - Must have atleast recent 2+ YOE as a Team Manager (Not mentoring, should be in a complete Manager role)
• Mandatory (Portfolio) - Must have strong High-fidelity UI Designs, Interaction models, and Design systems for Large-scale B2C Products
• Mandatory (Company) - Large-Scale B2C Products
• Mandatory (Gender) - Male candidates only

Preferred

• Preferred (Experience) - Retail domain experience

Job Descriptions:

1. Job Requirement

We are seeking a highly skilled Senior Generative AI Developer to join our AI/ML team. This role focuses on leveraging cutting-edge Generative AI (GenAI) technologies to drive innovation and efficiency in software development and business processes. The ideal candidate will work on advanced techniques such as Retrieval-Augmented Generation (RAG), document chunking, and data embedding across multiple vector databases. They will collaborate closely with cross-functional teams to design, implement, and optimize AI-driven solutions, with exposure to cloud-native AI platforms like Amazon Bedrock and Microsoft Azure OpenAI considered a plus.

Responsibilities:

• Develop and deploy GenAI-based applications to solve complex business problems.
• Implement RAG frameworks to enhance information retrieval and response accuracy.
• Design and optimize document chunking strategies tailored to specific data types and use cases.
• Build and manage data embeddings using various vector databases for high-performance similarity searches.
• Collaborate with data engineers and scientists to integrate AI solutions seamlessly into existing pipelines.
• Explore and implement best practices for leveraging Amazon Bedrock and Azure OpenAI services.
• Stay updated on emerging trends and technologies in the GenAI and AI/ML landscape.

2. Required Technical Skillsets

Mandatory Skills:

• Proficiency in Generative AI frameworks and technologies like
• Prompt Engineering – creating specific prompts to guide LLM outputs
• Fine Tuning and Few-Shot learning – Adapting LLMs for domain-specific tasks.
• Retrieval-Augmented Generation (RAG) – Combining LLMs with external data retrieval systems
• Text-to-Text Transfer Transformation (T5) – Framework for translating tasks into text forms.
• Expertise in designing and implementing chunking strategies for diverse datasets.
• Strong knowledge of data embedding techniques and working experience with vector databases like Pinecone, Weaviate, or Milvus.
• Solid programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Familiarity with cloud platforms and services for AI/ML workloads (AWS or Azure).
• Experience with API integration for AI services and building scalable applications.

Desirable Skills:

• Hands-on experience with Amazon Bedrock and/or Microsoft Azure OpenAI services.
• Knowledge of natural language processing (NLP) techniques and large language model (LLM) fine-tuning.
• Exposure to different chunking strategies, including overlap and semantic segmentation.
• Understanding of DevOps practices for deploying and managing AI models in production.
• Strong problem-solving and analytical skills with a focus on delivering value-driven solutions.

•Ensures that products conform to business requirements/company policies, software quality standards, and established procedures

•Confirms that testable systems are specified, designed and implemented

•Designs, documents and implements procedures and techniques that are consistent with departmental SQA Methodology for analyzing, testing, and evaluating the risk (software & business), accuracy, completeness, internal integrity/consistency, testability and overall quality of business systems and SDLC processes

•Creates and maintains SQA deliverables including test plans, test cases, test data, project test progress and release reports, application turnover documents and test schedules

•Recommends and assists in corrective actions taken at all stages of product life

•Submits and tracks production (maintenance) and release issues in their respective systems

Desired Candidate Profile

• Bachelor’s or Master’s degree in IT
• 5+ years as Technical Project Manager
• Experience with Agile development (Scrum/Kanban) is must
• Experience with task tracking systems like Jira, VSTS is must
• Solid organizational skills including attention to detail and multitasking skills
• Experience with project management tools like MS Project is a plus
• Project Management Professional (PMP)/ PRINCE II certification is a plus
• Good knowledge of software life cycle and processes and various methodologies
• Resource planning, performance management and team motivational skills are must
• Previous development experience as Business Analyst, development or data science is a plus