Job Title: AI/Machine Learning Subject Matter Expert
Location: Jersey City, NJ
Duration: 6+ Months (Extendable)
Job Description:
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:
• Minimum of 5 years of experience in AI/ML, with a focus on generative models.
• Proven track record of successfully implementing GenAI projects in real-world settings.
• Experience in managing the end-to-end lifecycle of GenAI projects, from conception to deployment.
• Proficiency in programming languages such as Python and other AI frameworks.
• Strong analytical and problem-solving skills, with the ability to think critically and creatively.
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Proven leadership abilities, with experience managing and mentoring technical teams.
• Ability to work in a fast-paced, dynamic environment and adapt to changing project requirements.
• Experience with cloud platforms such as AWS.
• Experience in optimizing vector queries.
• Proficiency in SQL.
• Familiarity with natural language processing (NLP) concepts.
• 1+ years of experience architecting high-impact GenAI solutions for diverse projects.
• 10+ years of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Generative AI, AI/ML, ML Ops.
• 3+ years of experience using Python.
Preferred Skills:
• Experience with deploying and managing AI models at scale.
• Demonstrates sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.
• Exhibits strong teamwork, consistently performing as a dependable team member with an excellent work ethic.
• Maintains a flexible “can-do” attitude and a commitment to success.
• Professional verbal and written communication.
• Undergraduate or Graduate degree preferred.
• 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:
• Minimum of 5 years of experience in AI/ML, with a focus on generative models.
• Proven track record of successfully implementing GenAI projects in real-world settings.
• Experience in managing the end-to-end lifecycle of GenAI projects, from conception to deployment.
• Proficiency in programming languages such as Python and other AI frameworks.
• Strong analytical and problem-solving skills, with the ability to think critically and creatively.
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Proven leadership abilities, with experience managing and mentoring technical teams.
• Ability to work in a fast-paced, dynamic environment and adapt to changing project requirements.
• Experience with cloud platforms such as AWS.
• Experience in optimizing vector queries.
• Proficiency in SQL.
• Familiarity with natural language processing (NLP) concepts.
• 1+ years of experience architecting high-impact GenAI solutions for diverse projects.
• 10+ years of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Generative AI, AI/ML, ML Ops.
• 3+ years of experience using Python.
Preferred Skills:
• Experience with deploying and managing AI models at scale.
• Demonstrates sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.
• Exhibits strong teamwork, consistently performing as a dependable team member with an excellent work ethic.
• Maintains a flexible “can-do” attitude and a commitment to success.
• Professional verbal and written communication.
• Undergraduate or Graduate degree preferred.
