Role Description

This is a contract, on-site role for a Python AI/ML Senior Engineer, based in Phoenix, AZ. The responsibilities include designing, developing, and deploying robust AI/ML models and solutions to solve customer-specific challenges. The engineer will focus on implementing algorithms related to neural networks, pattern recognition, and statistical modeling, as well as fine-tuning these models for accuracy and scalability. Additional responsibilities include collaborating with cross-functional teams, maintaining high-quality code practices, and staying up-to-date with advanced AI/ML frameworks and tools.

Qualifications

Proficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Python.
Hands-on experience designing and deploying Generative AI Applications using LLM frameworks (e.g. LangChain, LlamaIndex, Semantic Kernel), embeddings, and vector databases.
Experience building Agentic AI systems with autonomous planning, tool/function calling, memory management, RAG, and multi-agent orchestration.
Solid understanding of ML/DL fundamentals, prompt engineering, model evaluation, and responsible AI practices.
Experience integrating AI solutions with enterprise systems, APIs, event streaming (e.g., Kafka), and relational/NoSQL databases.
Familiarity with cloud platforms (AWS/Azure/GCP), containers (Docker), and CI/CD pipelines (Git, Jenkins, Maven).
Strong foundation in data structures, system design, APIs (REST/HTTP), and Unix/Linux environments.
Excellent communication skills with the ability to translate complex AI concepts into scalable business solutions.
Good understanding of data structures, algorithms and design patterns
Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.

Building AI Data Solutions That Drive Smarter Decisions

We at Objectways, are a boutique shop that helps our customers solve some of the most pressing problems in Big data analytics. Machine Learning / Artificial intelligence and lOT analytics. While Cloud providers provide a plethora of tools. we believe in working backward from a customer problem to provide prescribed use of services and architecture.

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