What are the responsibilities and job description for the AI / Machine Learning SME / Architect position at 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 DevOps, 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 :
Preferred Skills :