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Join a forward-thinking company that values innovation and integrity. As a Principal Lead Technical Recruiter, you'll be part of a diverse team committed to leveraging advanced technology for positive change. This role offers the opportunity to work with cutting-edge AI-driven models and analytics tools, making a real-world impact in various sectors, including insurance and finance. If you're passionate about driving business success through technology and want to grow your career in a supportive environment, this is the perfect opportunity for you. Embrace the chance to lead and mentor while shaping the future of AI solutions.
Direct message the job poster from Motion Recruitment
Be part of a diverse, international team that’s committed to driving both business success and positive change. Work with world-class data sets, AI-driven models, and next-gen analytics tools. Our technology empowers smarter decisions in insurance, finance, government, and beyond. We operate at the crossroads of advanced technology and social responsibility. If you’re looking to grow your career in a company where innovation meets integrity and where your work makes a real-world difference, this is the place for you.
6 Month Contract (Possible Extension)
100% Remote (Client located in New Jersey)
Work Schedule
Full Time – Monday-Friday
*Must be able to work on W-2 Basis
Job Description
• 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.
Required Skills
• 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.
• Proficiency in SQL.
• Familiarity with natural language processing (NLP) concepts.
• 1+ years of experience architecting high-impact GenAI solutions for diverse projects.
• 5+ 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.
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