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Contract Tensorflow Jobs in Connecticut (NOW HIRING)

Guardianlife

Data Scientist, Agentic AI

Stamford, CT · Hybrid

$95K - $156K/yr

Apply LLMs and generative AI to process and interpret unstructured data such as contracts, claims ... Strong programming skills in Python and familiarity with frameworks like PyTorch, TensorFlow, and ...

All JobsContract Tensorflow JobsContract Tensorflow Jobs in Connecticut

Contract Tensorflow information

What is the difference between Contract Tensorflow vs Contract Machine Learning Engineer?

AspectContract TensorflowContract Machine Learning Engineer
Required CredentialsProficiency in TensorFlow, Python, ML conceptsProficiency in ML frameworks, Python, data analysis
Work EnvironmentProject-based, remote or on-site, tech companiesProject-based, tech or research firms, collaborative teams
Employer & Industry UsageTech companies, startups, AI-focused firmsTech companies, consulting firms, research institutions
Search & Comparison IntentUnderstanding TensorFlow-specific roles, contract workBroader ML roles, contract opportunities in ML

Contract Tensorflow roles focus specifically on implementing and optimizing models using TensorFlow, requiring expertise in this framework. Contract Machine Learning Engineer positions encompass a wider range of ML tools and techniques, often including TensorFlow but also other frameworks. Both roles are project-based, typically in tech environments, but Contract Tensorflow is more specialized in deep learning with TensorFlow.

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What are popular job titles related to Contract Tensorflow jobs in Connecticut? For Contract Tensorflow jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Contract Tensorflow jobs in Connecticut look for? The top searched job categories for Contract Tensorflow jobs in Connecticut are:
What cities in Connecticut are hiring for Contract Tensorflow jobs? Cities in Connecticut with the most Contract Tensorflow job openings:
Contract Tensorflow jobs near you

IT - Technology Lead | Enterprise Content Management | IBM Watson

Spruce Infotech

Hartford, CT • On-site

$168K/yr

Full-time

Re-posted 3 days ago

Job description

Job Title Technology Lead | Enterprise Content Management | IBM Watson
Work Location & Reporting Address Hartford, CT 6156
Vendor Rate XXX/Hr.
Contract duration 6
Target Start Date 22 Apr 2026
Must 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 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.
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
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

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