Technology Lead | Enterprise Content Management | IBM Watson

1. Strategic AI Leadership & Evangelization - Partner with business and technology leaders to shape the AI roadmap, influence strategy, and embed AI in transformation initiatives.
2. AI Solution Architecture & Full-Stack AI Engineering - Lead design and development of end-to-end AI/GenAI solutions, including data ingestion, model orchestration, inference services, and integration with enterprise systems. Architect multi-model pipelines using platforms and frameworks such as LangChain, LangGraph, Pydantic, vector databases, LLM frameworks, and cloud-native services.
3. Model Development, Tuning & Optimization - Apply advanced model-tuning techniques such as PEFT, LoRA, QLoRA, SFT, and Retrieval-Augmented Generation (RAG).
4. GenAI & ML Engineering Excellence - Build prototype agents, copilots, AI automation flows, and domain-context solutions using modern AI frameworks.
5. Client Engagement & Value Realization - Lead client discussions, articulate solution approaches, drive use case discovery, feasibility assessment, and ROI analysis to prioritize AI initiatives. Minimum years of experience:

• 8-10 years

Certifications Needed :No Top 3 responsibilities you would expect the Subcon to shoulder and execute

• Solution design
• Technical delivery
• Team handling

Interview Process (Is face to face required?) No, Job Description Hybrid Role, Must be local to CT only, ( No OPT/CPT and H1's Allowed ) This position will take the role under minimal supervision to coordinate, monitor, and re…

• 2 months ago

Core AI & GenAI Expertise · Deep experience with Generative AI, LLMs, multi-modal models, RAG systems, and agent-based architectures. · Strong knowledge of ML algorithms, NLP/NLU techniques, transformers, embeddings, and evaluation frameworks. Model Tuning & Optimization · Hands-on expertise with PEFT, LoRA, QLoRA, parameter-efficient fine-tuning, and prompt-tuning strategies. Frameworks, Tools & Libraries · Proficiency in: o LangChain, LangGraph, Pydantic o FAISS / Chroma / Milvus or other vector DBs o PyTorch / TensorFlow o HuggingFace ecosystem o OpenAI / Azure OpenAI / Claude / Gemini APIs Full-Stack AI Engineering · Strong Python engineering skills for building orchestration, pipelines, and backend services. · Experience deploying AI workloads on Azure/AWS/GCP (or equivalents). · Understanding of MLOps / AIOps, CI/CD pipelines, containerization, and microservices. Consultative & Evangelization Skills - Exceptional communication and storytelling abilities. · Nice to have skills: 8-15+ years of experience in AI/ML, with at least 3-5 years in GenAI/LLM-based solutions. · Master's degree or specialization in Computer Science, AI, ML, Data Science, or related fields. · Certifications in cloud AI services (Azure AI, AWS ML, GCP Vertex AI) are highly desirable., Job Description Hybrid Role, Candidate Must be local to CT We are seeking a highly skilled and experienced Digital Evidence Study Technical Project Manager with strong project …

• 2 months ago, Onsite, Must be Local to CT Job Description 2-5 yrs exp Writes, edits and packages a variety of technical documents, including proposals, articles, brochures, reports and manual…
• 2 months ago

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