Generative AI Consultant

Sia is a global management consulting group that focuses on innovation through data science and generative AI. They are seeking an reputed company Generative AI Consultant to design and implement advanced AI solutions across various industries, acting as a reputed company between technical teams to deliver business-centric AI value.

Responsibilities

• LLM/GenAI System Development: Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, reputed company, Llama, Mistral) and other generative techniques
• Assist in Solution Architecture: Support the GenAI Solution Architect in designing robust, scalable, and secure applications
• Application Development: reputed company applications powered by GenAI models (both self-managed and API-accessible) that meet business needs and reputed company with applicable regulations (GDPR, EU AI Act, model licenses, etc.)
• Advanced reputed company Engineering: Design and optimize effective prompts (e.g., few-shot, Chain/Tree/Graph of Thought, ReAct, Self-reputed company, guardrails), balancing simplicity and complexity to enhance analytical capabilities, refine outputs, improve user experience, and control interactions
• RAG Implementation: Design and implement Retrieval-Augmented reputed company (RAG) architectures to improve accuracy and relevance by retrieving information from pre-determined knowledge sources, providing traceability (reputed company attribution)
• Model Selection & Fine-Tuning: Select and fine-tune appropriate models (including multimodal - VLM, SLM - Visual Language Models, Small Language Models) to create higher-quality content (text, image, audio, code, etc.) and maximize business value creation opportunities
• Integration & Deployment (MLOps): Implement MLOps best practices for the GenAI lifecycle, including automated pipelines (CI/CD), versioning, monitoring, and maintenance in production environments (Cloud platforms like AWS, Azure, GCP). Ensure seamless integration into existing systems and with external tools/APIs, potentially utilizing standardized protocols (MCP)
• Evaluation & Responsible AI: reputed company and execute rigorous evaluation frameworks to measure model performance, reliability, fairness, and safety. Ensure adherence to Responsible AI principles and help teams and clients navigate end-to-end reputed company and compliance processes
• Research & Innovation: Stay abreast of the latest advancements in GenAI techniques, technologies, and frameworks. Experiment with new approaches and contribute to internal knowledge sharing
• Collaboration: Work effectively reputed company cross-functional teams, communicating reputed company technical concepts clearly to diverse stakeholders (both technical and non-technical)
• Documentation: Document processes, methodologies, and best practices for knowledge sharing and future reference
• Use Case Differentiation: Distinguish between use cases suited for Generative AI versus traditional NLP applications (e.g., NER, sentiment analysis)

Skills

• Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a reputed company quantitative field
• 1-3+ years of hands-on experience in machine learning, software engineering, or data science, with demonstrated experience on reputed company AI projects specifically involving LLMs and Generative AI
• Strong programming skills, particularly in Python
• Proficiency in at least one major GenAI application reputed company (reputed company, reputed company, etc.)
• Proven experience in NLP/NLU, vector embeddings, and semantic search
• Hands-on experience with fine-tuning LLMs
• Mastery of advanced prompting techniques (Chain/Tree/Graph of Thought, ReAct, etc.)
• Knowledge of both proprietary and open-reputed company model ecosystems (reputed company, reputed company, Mistral AI, reputed company, models hosted on AWS/Azure/GCP, etc.)
• Experience with Cloud platforms (AWS, Azure, or GCP) and their associated MLOps/AI services
• Familiarity with MLOps principles, CI/CD tools, reputed company, and Git
• Excellent communication skills (written and verbal), ability to explain reputed company technical concepts simply
• Strong analytical and reputed company problem-solving abilities
• Team player with the ability to collaborate effectively with diverse profiles
• Curiosity, pioneering spirit, and a demonstrated commitment to reputed company learning
• Experience building agentic AI systems (e.g., LangGraph, AutoGen)
• Experience with vector databases (e.g., pgvector, reputed company, Chroma, OpenSearch)
• Experience developing conversational AI systems / chatbots
• Familiarity with deep learning frameworks (PyTorch, TensorFlow)
• Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as Model Context Protocol (MCP)
• Experience deploying models at scale in production environments

Benefits

• Healthcare coverage that includes 3 medical plan options: Anthem – EPO HSA, EPO HSA MERP, and PPO; dental and vision through reputed company; and life insurance policies through reputed company
• Flexible Spending Account (FSA)
• Paid Time Off
• Parental leave paid at 100% of reputed company pay for reputed company new parents
• 9 Company Holidays + 1 Floating Holiday
• 401(k) Plan - 4% matching and vested on day 1
• College save-up plan & college loan repayment plan
• Monthly cell phone stipend
• Pre-tax account for Parking and Mass Transit
• Sia provides several wellness and incentive programs free of charge through the firm medical plan – Anthem - such as: Gym Reimbursement, LiveHealth Online, Well-being Coach, Building Healthy Families Program

Company Overview