Job Title: AI/ML SME – AI/Machine Learning Subject Matter Expert III
Location: Jersey City (Hybrid)
Job Description
Responsibilities
- Develop and design scalable and efficient Generative AI (GenAI) solutions tailored to our requirements.
- Lead implementation of robust, secure, and high-performance GenAI systems.
- Collaborate with cross-functional teams to integrate AI solutions.
- Stay updated with AI advancements and drive innovation.
- Create documentation including design specs, guides, and manuals.
- Provide training and mentorship on GenAI technologies.
- Deep understanding of cloud systems and services.
- Handle all aspects of enterprise-scale AI/GenAI implementations: architecture, security, infrastructure, MLOps/GenAIOps.
- Leverage Python-based open-source stacks like Django, Flask, FastAPI.
- Deep expertise in statistics, ML models, deep learning, NLP, GANs, and other generative models.
- Experience with RAG tech, LLM frameworks, model registries (e.g., Hugging Face), embedding models, vector databases.
- Hands-on with Anthropic Claude, Llama, AWS LLM models, BERT, Transformers.
- Strong problem-solving and communication skills.
- Knowledge of AWS DevOps, YAML, Shell scripting, Terraform pipelines.
- Understand model fine-tuning, quantization, deployment.
- Design APIs for cloud services, modular frameworks.
- Use data engineering tools, big data, and pipelines.
- Drive complex GenAI projects to success.
- Architect and lead GenAI use cases, POCs.
- Work on RAG models and Agents Frameworks.
- Conduct market research, analyze, and communicate insights.
- Build strong client relationships.
- Explain technical concepts to non-technical stakeholders.
- Manage varying data sets and massive streams.
- Business analysis, reporting, problem-solving.
- Data flow and content issue resolution.
- Collaborate with stakeholders to improve data quality.
- Mentor junior data scientists and engineers.
- Conduct training sessions.
Basic Qualifications
- Minimum 5 years in AI/ML, focusing on generative models.
- Proven GenAI project implementation success.
- End-to-end GenAI project management.
- Proficiency in Python and AI frameworks.
- Strong analytical and problem-solving skills.
- Excellent communication skills.
- Proven leadership in technical teams.
- Adaptability in dynamic environments.
- Cloud platform experience (AWS).
- Experience with vector query optimization.
- SQL proficiency.
- NLP familiarity.
- 1+ years designing high-impact GenAI solutions.
- 10+ years in predictive analytics, data design, AI/ML, MLOps.
- 3+ years Python experience.
Preferred Skills
- Deploying AI models at scale.
- Sound judgment and problem-solving.
- Teamwork and strong work ethic.
- Flexible, committed attitude.
- Effective communication.
- Degree (Undergraduate or Graduate preferred).
Job Highlights
- Extensive knowledge of Python stacks (Django, Flask, FastAPI)
- Experience with RAG, LLM frameworks, model registries (Hugging Face)
- Hands-on with Anthropic Claude, Llama, AWS LLM models, BERT, Transformers
- 5+ years in AI/ML, generative models
- Real-world GenAI project success
- End-to-end project management
- Python proficiency
- Strong problem-solving and analytical skills
- Cloud experience (AWS)
- Vector query optimization
- SQL skills
- NLP concepts
- High-impact solution architecture (1+ years)
- Over 10 years in related fields
- Python (3+ years)
Tags
AI, Machine Learning, Python, NLP, Cloud (AWS)