Application/Azure Engineer

Resourcesoft, Inc.
Bethesda, MD, United States
1 day ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Continuous Integration Data Warehousing Python (Programming Language) Machine Learning Tensorflow Azure Machine Learning Search Technologies Digital Twin
+22 more
Google Cloud Enterprise Software Applications Feature Engineering Pytorch LangChain Evaluation Pipelines Retrieval-Augmented Generation Large Language Models Prompt Engineering Model Validation Llamaindex Generative AI Agentic-AI Containerization Scikit Learn Kubernetes Machine Learning Operations Tools for Reporting Drift Detection Software Version Control Data Pipelines Databricks

Job description

  • Engineer, evaluate, and deploy scalable machine learning and Generative AI solutions for enterprise applications.
  • Build RAG workflows, prompts, embeddings, vector search, guardrails, evaluation pipelines, and agentic AI solutions.
  • Develop batch and streaming pipelines, feature engineering workflows, training processes, and production inference services.
  • Establish MLOps and LLMOps pipelines for experimentation, deployment, version control, monitoring, and model quality.
  • Connect AI/ML services with cloud platforms, APIs, event streams, data warehouses, analytics tools, and enterprise systems.
  • Improve model accuracy, performance, scalability, security, reliability, cost efficiency, and production effectiveness.

Requirements

  • 2 years or more of experience developing and deploying production AI/ML and Generative AI solutions using Python.
  • Proficiency in Python, LLMs, RAG, prompt engineering, embeddings, vector databases, and machine learning frameworks.
  • Experience with PyTorch, TensorFlow, scikit-learn, Transformers, LangChain, LlamaIndex, and model evaluation.
  • Experience with MLOps, LLMOps, CI/CD, containerization, model versioning, drift detection, monitoring, and observability.
  • Experience with AWS, Azure, Google Cloud Platform, Databricks, Kubernetes, data pipelines, digital twins, predictive maintenance, and agentic AI.
  • Excellent verbal and written communication skills

About the company

Founded in 1999, Resourcesoft, Inc. is a leading Technology Consulting and Professional Services organization. Headquartered in Marlborough, MA, the company serves the technology needs of its clients nationwide. Resourcesoft has often been recognized by prominent rating agencies for its exemplary growth and stability. With over two decades of industry experience, the Company has evolved as a front runner in enabling project optimization. We partner with leading organizations to provide technology solutions within the financial, insurance, education, government, publishing, healthcare and pharmaceutical domains. We take pride in mentoring a workforce that is well positioned to respond to the emerging IT trends and needs. With the employees at the crux of every business endeavor, our success is driven by our expertise in pairing the right talent with the best jobs in the technology sector. We forge long term, personalized relationships with our employees to advance their career to the next level. We engage them in technology centric client projects that provide opportunities for them to evolve, innovate and deliver world class products and services. Our career opportunities offer challenging assignments and exposure to emerging and cutting edge technologies. We are committed to providing our employees with the tools necessary to accelerate their career progression, while maintaining a healthy, work-life balance. We are deeply committed to providing a workplace ambience that is both challenging and fulfilling.

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