AI Developer (Machine Learning / Generative AI)

Job Title:

AI Developer (Machine Learning / Generative AI)

Location:

Palo Alto, CA Duration:

12+

Months Employment Type:

Contract Job Summary We are seeking a highly skilled AI Developer to design, build, and deploy scalable AI/ML solutions focused on data security, automation, and intelligent insights . The ideal candidate will have hands-on experience in machine learning, deep learning, and Generative AI , along with strong programming and cloud expertise. Key Responsibilities Design, develop, and deploy machine learning and AI models for real-world business use cases Build and optimize Generative AI solutions (LLMs, NLP, RAG pipelines) Develop scalable data pipelines and model training workflows Collaborate with data engineers, product teams, and security teams to integrate AI solutions into enterprise platforms Work on data security, anomaly detection, and predictive analytics use cases Fine-tune pre-trained models and evaluate model performance Implement MLOps practices for model deployment, monitoring, and versioning Optimize models for performance, scalability, and cost efficiency Stay updated with latest advancements in AI/ML and apply best practices Required Skills Strong experience in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Hands-on experience with Generative AI, LLMs (OpenAI, Hugging Face, LangChain, RAG) Solid understanding of machine learning, deep learning, NLP, and data modeling Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) Knowledge of data pipelines, ETL, and big data technologies Experience with model deployment, APIs, and microservices architecture Familiarity with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) Strong problem-solving and analytical skills Preferred Qualifications Experience in data security, backup, or cyber resilience domains Exposure to vector databases (Pinecone, FAISS, Weaviate) Experience building AI-powered enterprise applications