GenAI & AI/ML Framework Specialist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
GenAI & AI/ML Framework Specialist (Generative AI/ML): Building and scaling production-ready AI solutions, LLM applications, and enterprise AI integrations with an accent on machine learning frameworks, MLOps, cloud platforms, and inference optimization. Focus on designing RAG systems, fine-tuning models, building scalable pipelines, and solving performance, cost, and deployment challenges.
Location: New York, NY or Arlington, VA; onsite or hybrid from day one.
Salary: $85,786–$105,237 base compensation.
Company
is a global business and technology transformation partner delivering consulting, engineering, cloud, data, and AI solutions to enterprise clients.
What you will do
- Design and implement Generative AI solutions using LLMs, RAG, prompt engineering, and fine-tuning.
- Develop, train, and optimize machine learning and deep learning models.
- Build scalable data processing, model training, and deployment pipelines.
- Integrate AI models into enterprise applications and production environments.
- Improve inference performance, scalability, and cost efficiency.
- Collaborate with product, engineering, and data science teams on AI-driven business solutions.
Requirements
- 8+ years of experience in data science, machine learning engineering, or AI engineering.
- 2+ years of hands-on Generative AI experience with LLM-based solutions and enterprise deployments.
- Strong Python skills and expertise with PyTorch, TensorFlow, or JAX.
- Experience with Hugging Face, LangChain, LlamaIndex, vLLM, vector databases, and SQL/NoSQL databases.
- Knowledge of MLOps tools, cloud AI platforms, GPU acceleration, Transformers, CNNs, and RLHF.
- Bachelor’s or Master’s degree in computer science, data science, mathematics, engineering, or a related quantitative discipline.
Nice to have
- Experience with enterprise-scale AI transformation, model governance, responsible AI, and AI security.
- Multimodal AI experience across text, image, audio, or video models.
- Exposure to distributed training, model compression, quantization, inference optimization, and agentic AI architectures.
Culture & Benefits
- Permanent, full-time employment with a comprehensive benefits package.
- Paid vacation, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage.
- Retirement savings plan, including 401(k) options in the United States.
- Life and disability insurance and employee assistance programs.
- Collaborative environment with cross-functional teams and projects for enterprise clients.
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