Artmac Soft LLC
Senior Data Scientist – Generative AI, Agentic Systems & Deep Learning
Artmac Soft LLC, San Jose, California, United States, 95199
Who we are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers.
Job Description Job Title:
Senior Data Scientist Generative AI Agentic Systems & Deep Learning
Job Type:
W2 / C2C
Experience:
10-15 years
Location:
San Jose, California
Responsibilities
Experience in applied machine learning or data science with a strong focus on Deep Learning and Generative AI.
Hands‑on expertise with PyTorch, TensorFlow and modern AI tooling (e.g. Hugging Face, LangChain, OpenAI / Anthropic APIs).
Strong programming skills in Python and experience with MLOps tools (Docker, MLflow, Kubeflow, etc.).
Proven track record of open‑source contributions and engagement with AI research communities (GitHub, arXiv, etc.).
Solid understanding of LLMs, diffusion models, reinforcement learning and agent‑based architectures.
Design, train and deploy large‑scale Deep Learning and Generative AI models using frameworks like PyTorch and TensorFlow.
Develop autonomous and agentic AI systems capable of dynamic reasoning, decision‑making and self‑improvement.
Research and implement state‑of‑the‑art algorithms in foundation models, reinforcement learning and multimodal systems (text, image, speech and structured data).
Collaborate with product and engineering teams to integrate AI models into production pipelines ensuring scalability, reliability and ethical AI use.
Contribute to open‑source AI projects and represent the company in the broader research and developer community (e.g. GitHub, conferences, publications).
Qualifications
Bachelor’s degree or equivalent combination of education and experience.
Employment Type Full Time
Vacancies:
1
#J-18808-Ljbffr
Job Description Job Title:
Senior Data Scientist Generative AI Agentic Systems & Deep Learning
Job Type:
W2 / C2C
Experience:
10-15 years
Location:
San Jose, California
Responsibilities
Experience in applied machine learning or data science with a strong focus on Deep Learning and Generative AI.
Hands‑on expertise with PyTorch, TensorFlow and modern AI tooling (e.g. Hugging Face, LangChain, OpenAI / Anthropic APIs).
Strong programming skills in Python and experience with MLOps tools (Docker, MLflow, Kubeflow, etc.).
Proven track record of open‑source contributions and engagement with AI research communities (GitHub, arXiv, etc.).
Solid understanding of LLMs, diffusion models, reinforcement learning and agent‑based architectures.
Design, train and deploy large‑scale Deep Learning and Generative AI models using frameworks like PyTorch and TensorFlow.
Develop autonomous and agentic AI systems capable of dynamic reasoning, decision‑making and self‑improvement.
Research and implement state‑of‑the‑art algorithms in foundation models, reinforcement learning and multimodal systems (text, image, speech and structured data).
Collaborate with product and engineering teams to integrate AI models into production pipelines ensuring scalability, reliability and ethical AI use.
Contribute to open‑source AI projects and represent the company in the broader research and developer community (e.g. GitHub, conferences, publications).
Qualifications
Bachelor’s degree or equivalent combination of education and experience.
Employment Type Full Time
Vacancies:
1
#J-18808-Ljbffr