GDAS – Intelligent Automation and advanced AI Assistant Manager
A unique opportunity to be a part of growing Deloitte Technology Solutions that drives consistency, quality, and efficiency of the services delivered to clients.
Summary
At GDAS, we are seeking a highly skilled and motivated Intelligent Automation (IA) and advanced AI Application Assistant Manager to join our team. This role involves designing, developing, and deploying RPA/IA advanced Generative AI solutions, leveraging state-of-the-art machine learning and deep learning principles. The ideal candidate will have experience in building agentic workflows, delivering enterprise-level IA, and creating innovative AI solutions.
Role Overview
This role requires a blend of technical expertise, strategic thinking, and leadership skills to drive innovation and operational excellence.
Key responsibilities include:
- Design, develop and deploy complex Intelligent automation using AI/ML, Agentic Automation processes
- Utilize Vector/Graph Databases (Pinecone, Milvus, Neo4j) and their use in semantic search, including advanced techniques like Hybrid Search, MMR, or LLM reranking to build robust and scalable AI systems.
- Work with large datasets and apply advanced data processing techniques.
- Leverage natural language processing (NLP) for text generation projects, including techniques for text parsing, sentiment analysis, and the use of transformers like GPT for various world applications.
- Implement computer vision solutions for building and deploying AI automations in real-world applications.
Must-Have Qualifications:
- Advanced expertise of chatbot, RPA, IA/IP domains, and related technologies (UiPath, Microsoft Power Automate, CoPilot).
- Strong understanding and application of machine learning and deep learning principles.
- Experience in building agentic workflows and delivering enterprise-level automation and AI solutions.
- Hands-on experience with Vector/Graph Databases (Pinecone, Milvus, Neo4j) and their use in semantic search
- Proficiency in programming languages such as Python, TensorFlow, and PyTorch.
- Strong problem-solving and critical thinking skills for complex AI problems.
Good to Have:
- Design, develop, and deploy Generative AI solutions using advanced LLMs such as OpenAI API, Open Source LLMs (Llama2, Mistral, Mixtral), and frameworks like Langchain and Haystack.
- Experience in REST API development, NoSQL database design, and RDBMS design and optimizations.
Location: Hyderabad/Bengaluru/Pune
Timings: 11 AM to 8 PM
Qualifications
Education: Bachelor’s or master’s degree in computer science, Engineering, or a related field.
Technical Skill Set:
- Minimum of 6-8 years of experience in GenAI/AI/ML and Python programming with a solid understanding of software engineering principles.
- AI/ML and Gen AI Technologies: OpenAI API, Open Source LLMs (Llama2, Mistral, Mixtral), and frameworks like Langchain and Haystack.
- Frontend Technologies: Angular 16, Bootstrap 5, CSS, JavaScript, jQuery.
- Backend Technologies: .NET 8, ASP.NET Web API, Azure API Management, Python APIs/Functions.
- Databases: SQL Databases, NoSQL Databases, Cosmos DB, SQL Tables
- Business Services/Domain Knowledge: Integration with various enterprise systems, managing large datasets, and data processing techniques.
- Auditing: Understanding of compliance and security auditing within enterprise systems.
Interpersonal Skill Set:
- Ability to think analytically, solve problems and document solutions.
- Ability to communicate complex ideas in a clear, concise manner.
- Work on multiple tasks in parallel while maintaining high quality standards.
- Candidate must be process-oriented with sound judgment, demonstrate attention to detail.
- Demonstrate flexibility to perform and deliver in an ever-changing work environment.
- Candidate must be energetic, driven and committed to project success while working under tight time constraints and pressure.
- Develop contingency plans where appropriate.
- Identify opportunities for improvement and make constructive suggestions for change.
- Continuously manage customer expectations
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