What are the responsibilities and job description for the Python-AI_ML-GenAI- Senior Engineer position at Objectways?
U.S. Citizenship is required for this role; candidates must be authorized to work in the U.S. as a citizen (no sponsorship or work visa
Company Description
Objectways is a specialized consulting company that addresses critical challenges in Big Data analytics, Machine Learning (ML), Artificial Intelligence (AI), and IoT analytics. We take a customer-centric approach by tailoring solutions with state-of-the-art tools and architectures to solve specific problems. Our expertise spans innovative solutions, automated platform creation, and maintenance utilizing Infrastructure as Code principles. We focus on building well-architected systems that ensure security, performance efficiency, cost optimization, and reliability. Objectways stands by its work with a unique warranty support model, ensuring peace of mind for our clients.
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.