Artmac
Senior Data Scientist – Generative AI & Agentic Systems
Artmac, 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 Job Type : W2/C2C Experience : 8 — 15 years Location : San Jose, California Responsibilities 8–15 years of experience in Machine Learning / AI / Data Science with strong hands-on expertise in Deep Learning & Generative AI. Proven experience with TensorFlow, PyTorch, Hugging Face, LangChain, or LlamaIndex. Strong knowledge of LLMs (Large Language Models), Transformers, Diffusion Models, and Reinforcement Learning. Expertise in building and deploying agentic AI systems for automation and reasoning. Proficiency in Python, SQL, and ML Ops pipelines (e.g., Kubeflow, MLflow, Weights & Biases). Strong experience with cloud AI platforms (AWS Sagemaker, GCP Vertex AI, Azure ML). Design, develop, and deploy advanced Deep Learning and Generative AI models for real-world applications. Build and optimize agentic AI systems capable of autonomous reasoning, planning, and decision-making. Conduct research and experimentation to evaluate emerging AI/ML methodologies and integrate them into production. Collaborate with product, engineering, and research teams to translate business challenges into AI-driven solutions. Drive end-to-end model lifecycle management — data preparation, feature engineering, training, evaluation, deployment, and monitoring. Contribute to open-source projects, publications, and technical thought leadership. Qualification Bachelor’s degree or equivalent combination of education and experience.
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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 Job Type : W2/C2C Experience : 8 — 15 years Location : San Jose, California Responsibilities 8–15 years of experience in Machine Learning / AI / Data Science with strong hands-on expertise in Deep Learning & Generative AI. Proven experience with TensorFlow, PyTorch, Hugging Face, LangChain, or LlamaIndex. Strong knowledge of LLMs (Large Language Models), Transformers, Diffusion Models, and Reinforcement Learning. Expertise in building and deploying agentic AI systems for automation and reasoning. Proficiency in Python, SQL, and ML Ops pipelines (e.g., Kubeflow, MLflow, Weights & Biases). Strong experience with cloud AI platforms (AWS Sagemaker, GCP Vertex AI, Azure ML). Design, develop, and deploy advanced Deep Learning and Generative AI models for real-world applications. Build and optimize agentic AI systems capable of autonomous reasoning, planning, and decision-making. Conduct research and experimentation to evaluate emerging AI/ML methodologies and integrate them into production. Collaborate with product, engineering, and research teams to translate business challenges into AI-driven solutions. Drive end-to-end model lifecycle management — data preparation, feature engineering, training, evaluation, deployment, and monitoring. Contribute to open-source projects, publications, and technical thought leadership. Qualification Bachelor’s degree or equivalent combination of education and experience.
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