Technology Lead | Enterprise Content Management | IBM Watson
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Overview
Remote
On-site
Compensation
$59-$60/hour
Job Description
Pay Rate Range: $ 58.57 - 60.29/hr on W2Must Have Skills: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 APIsFull 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.Key Responsibilities: 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
- Solution design
- Technical delivery
- Team handling
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FAQs About Technology Lead | Enterprise Content Management | IBM Watson Jobs at Varite, Inc
What is the work location for this position at Varite, Inc?
This job at Varite, Inc is located in Hartford, CT, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Varite, Inc?
Candidates can expect a pay range of $58.57–$60.29 per hour for this role.
What employment applies to this position at Varite, Inc?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at Varite, Inc?
You can apply for this role at Varite, Inc either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.