Job ID: 3181796
Senior AI/ML Engineer with Strong Python Expertise – Onsite in Burbank, CA
We are actively seeking a highly skilled and experienced Senior AI/ML Engineer to join our innovative team in Burbank, CA. This is an onsite, long-term contract role, and we strongly prefer local candidates. The ideal candidate will possess a robust background in Artificial Intelligence and Machine Learning, with a particular emphasis on Python programming and modern AI architectures. You will be instrumental in designing, developing, and deploying advanced AI solutions that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and sophisticated agentic AI systems. This role demands a professional with deep technical expertise, a proactive approach to problem-solving, and a proven track record of integrating AI models into scalable, production-grade cloud environments, preferably Azure.
Key Responsibilities
- Design, develop, and implement cutting-edge AI/ML solutions using Python and a variety of modern machine learning frameworks.
- Lead the development and optimization of Prompt Engineering strategies to enhance the performance and effectiveness of LLM-based systems.
- Construct and deploy robust Retrieval-Augmented Generation (RAG) pipelines to improve the accuracy and relevance of AI responses.
- Seamlessly integrate LLMs, particularly via APIs like Azure OpenAI, into complex enterprise applications.
- Develop and orchestrate sophisticated Agentic AI workflows, incorporating advanced tool and function calling capabilities.
- Implement and manage vector search solutions utilizing various Vector Databases to facilitate efficient data retrieval.
- Ensure robust CI/CD integration and streamline cloud deployment processes, with a strong preference for Azure environments.
- Establish comprehensive observability, monitoring, and evaluation frameworks to ensure the reliability and performance of deployed AI systems.
- Collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver production-ready AI features and solutions.
- Provide technical leadership and mentorship to junior team members, fostering a culture of innovation and excellence.
- Stay abreast of the latest advancements in AI, machine learning, and natural language processing to continuously enhance our capabilities.
- Participate in architectural reviews and contribute to the strategic direction of our AI initiatives.
Required Qualifications
- Expert-level proficiency in Python, including experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong, hands-on experience with Large Language Model (LLM) integration and the development of Retrieval-Augmented Generation (RAG) architectures.
- Demonstrated experience with Prompt Engineering and Context Engineering techniques for optimizing LLM interactions.
- Solid understanding of Natural Language Processing (NLP) concepts and practical experience with transformer-based models.
- Experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) and/or MongoDB for data storage and retrieval.
- Proficiency in designing and implementing CI/CD pipelines for machine learning models.
- Extensive experience with cloud deployment platforms, with a strong preference for Microsoft Azure services (e.g., Azure ML, Azure Kubernetes Service, Azure Functions).
- Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
- Excellent problem-solving skills and the ability to work independently as well as collaboratively within a team.
- Strong communication skills, both written and verbal, for technical and non-technical audiences.
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- A minimum of 10+ years of total experience in software development, with a significant portion focused on AI/ML engineering.
Preferred Qualifications
- Experience with other cloud platforms (AWS, GCP).
- Knowledge of MLOps practices and tools.
- Experience with real-time data processing and streaming technologies.
- Publications or contributions to open-source AI/ML projects.
This is a fantastic opportunity for a seasoned AI/ML professional to make a significant impact on high-profile projects within a leading organization. If you meet these qualifications and are eager to contribute to the next generation of AI solutions, we encourage you to apply.
Special Requirements
Locals Preferred; Onsite Role; Long-term Contract
Compensation & Location
Salary: $80 – $120 per year (Estimated)
Location: Burbank, CA
Recruiter / Company – Contact Information
Recruiter / Employer: iTech US, Inc
Email: syed.z@itechus.net
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