Data Engineer (AI/ML)- Oil & Gas Exp

Job highlights Identified by Google from the original job post Qualifications • The ideal candidate brings strong software engineering fundamentals combined with hands-on experience developing and operationalizing AI/ML systems on Microsoft Azure • Bachelor’s degree or international equivalent and 7+ years of relevant experience, or 11+ years of relevant work experience without a degree • 3 to 5 years of experience in AI/ML development, including designing and deploying ML models • Strong software engineering background: Python, REST APIs, microservices, event-driven systems • Good knowledge and understanding of RESTful API principles • Good understanding of relational databases and querying using SQL • Required Technical Experience Hands-on experience with Azure Machine Learning, Azure OpenAI, Cognitive Services, and Azure Data Lake • Experience building RAG systems, vector embeddings, and knowledge retrieval • AI Agents and Agentic Automation Design and implement single-agent and multi-agent workflows for complex enterprise processes using Azure and modern orchestration frameworks • Application and Platform Development Implement secure, scalable integrations with cloud data and AI services • Apply software design patterns and best practices in application development • 8 more items(s) Responsibilities • We are seeking a highly skilled AI/ML resource to design, develop, and deploy modern applications enhanced with advanced Artificial Intelligence capabilities on Microsoft Azure • This role focuses on AI/ML development, Generative AI, Retrieval Augmented Generation (RAG) pipelines, ML model development, MLOps, and enterprise-scale cloud deployment • You will collaborate with architects, software engineers, data engineers, and business stakeholders to translate requirements into production-grade AI-powered software solutions • Perform data preprocessing, feature engineering, model training, hyperparameter tuning, validation, and performance optimization • Ensure resilience, scalability, and reliability of AI models using cloud-based platforms such as Azure AI/ML • Ensure AI/ML solutionsalign with enterprise security, compliance, and governance requirements • Develop prompts, system instructions, and orchestration patterns to ensure quality, reliability, and cost efficiency • Participate in code reviews, architecture discussions, and Agile ceremonies • Utilize Git and GitHub for version control and DevOps workflows • 6 more items(s) More job highlights Job description Net2Source is a Global Workforce Solutions Company headquartered at NJ, USA with its branch offices in Asia Pacific Region.

We are one of the fastest growing IT Consulting company across the USA and we are hiring "AI/ML Solutions Architect" for one of our clients.

We offer a wide gamut of consulting solutions customized to our 450+ clients ranging from Fortune 500/1000 to Start-ups across various ...verticals like Technology, Financial Services, Healthcare, Life Sciences, Oil & Gas, Energy, Retail, Telecom, Utilities, Technology, Manufacturing, the Internet, and Engineering.

Position: AI/ML Solutions Architect / Architect / Leads

Location: Reston, VA or Houston, TX (Hybrid role - Locals Only)

Type: Contract

Client is hiring for 4 positions - Solutions Architect , 2 Architect, 1 Lead resource

Key Responsibilities

We are seeking a highly skilled AI/ML resource to design, develop, and deploy modern applications enhanced with advanced Artificial Intelligence capabilities on Microsoft Azure.

This role focuses on AI/ML development, Generative AI, Retrieval Augmented Generation (RAG) pipelines, ML model development, MLOps, and enterprise-scale cloud deployment.

You will collaborate with architects, software engineers, data engineers, and business stakeholders to translate requirements into production-grade AI-powered software solutions.

The ideal candidate brings strong software engineering fundamentals combined with hands-on experience developing and operationalizing AI/ML systems on Microsoft Azure.

Requirements

• Bachelor’s degree or international equivalent and 7+ years of relevant experience, or 11+ years of relevant work experience without a degree.

• 3 to 5 years of experience in AI/ML development, including designing and deploying ML models.

Strong software engineering background: Python, REST APIs, microservices, event-driven systems.

Good knowledge and understanding of RESTful API principles.

• Good understanding of relational databases and querying using SQL.

• Required Technical Experience Hands-on experience with Azure Machine Learning, Azure OpenAI, Cognitive Services, and Azure Data Lake.

• Experience building RAG systems, vector embeddings, and knowledge retrieval.

• Perform data preprocessing, feature engineering, model training, hyperparameter tuning, validation, and performance optimization.

• Ensure resilience, scalability, and reliability of AI models using cloud-based platforms such as Azure AI/ML. Ensure AI/ML solutionsalign with enterprise security, compliance, and governance requirements.

• Develop prompts, system instructions, and orchestration patterns to ensure quality, reliability, and cost efficiency.

• AI Agents and Agentic Automation Design and implement single-agent and multi-agent workflows for complex enterprise processes using Azure and modern orchestration frameworks.

• Application and Platform Development Implement secure, scalable integrations with cloud data and AI services.

• Participate in code reviews, architecture discussions, and Agile ceremonies.

• Utilize Git and GitHub for version control and DevOps workflows.

• Apply software design patterns and best practices in application development.

Madhukar Singh

Email: madhukar@net2source.com Show full description Report this listing Loading...