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AI​/Machine Learning SME​/Architect

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: BCI~IT
Contract position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: AI / Machine Learning SME / Architect

Direct message the job poster from BCI~IT

BCI has the following new position open with our direct client in Jersey City, NJ. Position will be a 6 month contract to start and will be extended. Possible contract to hire. Role will be hybrid with the need to be in the office 1 day a week. We are looking for a senior consultant with strong GENAI implementation in PROD and not just having experience doing POC.

Can only work on a w2 / 1099 basis. No C2C or subcontractors. Must be a US Citizen / GC or Perm Resident.

Key Responsibilities:

• Develop and design scalable and efficient GenAI solutions tailored to our requirements.

• Lead the implementation of GenAI systems, ensuring they are robust, secure, and performant.

• Work closely with cross-functional teams, including engineers and product managers, to integrate AI solutions into existing systems.

• Stay up-to-date with the latest advancements in AI and apply this knowledge to drive innovation within the company.

• Create comprehensive documentation for AI solutions, including design specifications, implementation guides, and user manuals.

• Provide training and mentorship to junior team members and clients on GenAI technologies and best practices.

• Possess a deep understanding of cloud systems and various services available in cloud systems.

• Experience working on all aspects of enterprise-scale implementation for AI/GenAI solutions, including architecture, design, security, infrastructure, MLOps/GenAIOps.

• Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.

• Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models.

• Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases.

• Employ technical knowledge and hands-on experience with Anthropic Claude, Llama models, and other AWS LLM foundational models, BERT, Transformers, etc.

• Have problem-solving abilities combined with good communication skills.

• Deploy knowledge of AWS Dev Ops, YAML, Shell scripting, Terraform, and pipelines.

• Understand how to fine-tune models, quantize models, and deploy models.

• Design integrations between various cloud-based services through APIs, keeping modular designs in mind.

• Apply knowledge of data engineering tools and technologies and understanding of concepts such as big data and data pipelines.

• Scope, manage, and drive complex GenAI projects and programs to successful completion.

• Design and implement GenAI frameworks and patterns tailored to specific needs.

• Architect and lead the implementation of GenAI use cases, projects, and POCs.

• Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks.

• Utilize best practices and creativity to address challenges and deliver impactful solutions.

• Conduct market research, formulate perspectives, and communicate insights to stakeholders.

• Establish strong client relationships, gaining insights into project requirements and challenges.

• Communicate complex technical concepts clearly to non-technical audiences.

• Handle data sets of varying complexity, processing massive data streams in distributed computing environments.

• Apply business acumen to analyze data, develop insightful reports, and solve problems.

• Perform ad hoc analyses based on evolving business needs.

• Participate in the analysis and resolution of issues related to information flow and data content.

• Collaborate with data stakeholders to address challenges and enhance data quality.

• Mentor junior data scientists and GenAI engineers, fostering professional growth within the team.

• Conduct training sessions to enhance overall skills within the organization.

Basic Qualifications:

• Minimum of 5 years of experience in AI/ML, with a focus on generative models.

• Experience with Semantics search - not looking for just chatbot experience

Proven track record of successfully implementing GenAI projects in real-world settings.

• Experience in…

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