Job Description

AI-ML Engineer

Timming - 11am-8:30 pm

Location - Remote (Once in a month )

Exp - 8+ years

Primary Responsibilities:

Design, develop, and deploy AI/ML models using Python, Azure Machine Learning and GenAI model. Integrate AI solutions with Microsoft Cloud services such as Azure Functions, Azure Data Lake, Azure Synapse, and Azure Cognitive Services. Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver scalable solutions.
oOptimize and monitor model performance in production environments.

oEnsure security, compliance, and best practices in cloud-based AI deployments.

oStay current with emerging AI technologies and trends, especially within the Microsoft ecosystem

:

oBachelor's or master's degree in computer science, Machine Learning, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or a related field

o5+ years of hands-on experience in machine learning engineering or AI/ML development using Python and cloud-based tools

oDeep expertise in large language models (LLMs) such as GPT, Gemini, and related architectures

o1+ years of experience working with Generative AI and Retrieval-Augmented Generation (RAG) systems in production environments

oProficient in designing and deploying LLM-powered applications using LangChain, LangGraph, and vector databases like FAISS and Pinecone

oStrong understanding of deep learning architectures (e.g., Transformers) with practical experience using ML frameworks such as PyTorch, TensorFlow, Keras, and Scikit-learn

oProficiency in data manipulation and analysis using Pandas, NumPy, and other Python data libraries

oHands-on experience with Microsoft Azure, including Azure Machine Learning, Azure DevOps, and other cloud-native services for scalable ML workflows

oFamiliarity with REST APIs, containerization (Docker), and CI/CD pipelines

oExcellent analytical, problem-solving, and communication skills, with the ability to collaborate effectively across cross-functional teams

oAzure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate).

oExperience with MLOps and model lifecycle management.

oFamiliarity with healthcare data standards (X12, HL7) is a plus.

oExperience with Power BI or other Microsoft analytics tools.

Job Types: Full-time, Permanent, Contractual / Temporary
Contract length: 6 months

Pay: ?80,000.00 - ?90,000.00 per month

Experience:

Generative AI: 8 years (Required) AI/ML: 8 years (Required)
Work Location: Remote