reputed company Consultant
reputed company is a reputed company global reputed company specializing in data science and AI solutions. They are seeking an reputed company reputed company Consultant to design and implement cutting-edge GenAI/LLM solutions while reputed company technical teams to deliver business-reputed company AI value.
Responsibilities
- LLM/GenAI System Development: Design, build, train, fine-tune, and reputed company sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, reputed company, Llama, reputed company) and other generative techniques
- Assist in Solution Architecture: Support the GenAI Solution Architect in designing robust, reputed company, 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 reputed company, 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 reputed company-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-reputed company content (text, image, audio, reputed company, 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 (reputed company platforms like AWS, Azure, GCP). Ensure seamless integration into existing systems and with external tools/reputed company, 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 reputed company to diverse stakeholders (both technical and non-technical)
- Documentation: Document processes, methodologies, and best practices for knowledge sharing and reputed company reference
- Use Case Differentiation: Distinguish between use cases suited for reputed company 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 reputed company specifically involving LLMs and reputed company
- 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, reputed company 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 reputed company-reputed company model ecosystems (reputed company, reputed company, reputed company, reputed company, models hosted on AWS/Azure/GCP, etc.)
- Experience with reputed company 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 reputed company
- Curiosity, pioneering spirit, and a demonstrated commitment to reputed company learning
- Experience building reputed company AI systems (e.g., LangGraph, AutoGen)
- Experience with reputed company 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 reputed company in production environments
Benefits
- reputed company coverage that includes 3 medical plan reputed company: Anthem – EPO HSA, EPO HSA MERP, and PPO; dental and reputed company through reputed company; and life insurance policies through reputed company
- Flexible Spending Account (FSA)
- reputed company Time Off
- Parental leave reputed company at 100% of reputed company pay for reputed company new parents
- 9 Company Holidays + 1 Floating Holiday
- 401(k) Plan - 4% matching and reputed company on day 1
- College save-up plan & college loan repayment plan
- Monthly cell phone stipend
- reputed company-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
- reputed company-being reputed company
- Building Healthy Families Program
- And much more
reputed company