AI Engineer Or Data Scientist

About Company:

HJ Software Private Limited is a software company that provides innovative, customized web-based solutions to small and medium enterprises. Our offshore development team has a proven track record in delivering web-related solutions on schedule and within budget, to clients of various industries.

Job Title:AI Engineer / Data Scientist (Azure AI & Generative AI)

Experience:46 years

Location:[City/Remote/Hybrid]

Employment Type:Full-time

About the Role

Were looking for an AI Engineer / Data Scientist to design, build, and deploy AI solutions on the Microsoft Azure ecosystem. Youll work on Generative AI, machine learning, deep learning, and advanced analytics to deliver production-ready AI capabilities for real business use cases.

Key Responsibilities

• Build and deploy ML/DL models onAzure Machine Learningwith full lifecycle ownership.
• DevelopGenerative AI applicationsusingAzure OpenAI(prompting, RAG, agents, evaluation).
• Create scalable data/ML pipelines using
  
  Azure Databricks/Synapse.
• Implement intelligent search and retrieval usingAzure AI Search (vector search included).
• Integrate AI services with event-driven systems usingEvent Hub / Service Bus.
• Fine-tune and optimize LLMs (LoRA/PEFT), and apply model compression/optimization techniques.
• Develop APIs/microservices to serve models in production (FastAPI/Flask, Docker, AKS).
• Set up monitoring and governance for ML/GenAI solutions (MLOps/LLMOps).
• Work with product and engineering teams to translate requirements into deployable AI solutions.

Required Skills & Experience (46 years)

• 46 years hands-on experience inAI/ML/Data Sciencewith strong Python skills.
• Strong foundation inML, Deep Learning, NLP, and Statistics.
• Experience withAzure ML(training, pipelines, endpoints, model registry, monitoring).
• Experience building GenAI solutions withAzure OpenAI, including:
• Prompt engineering and safety patterns

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  RAG architectures(embeddings, retrieval tuning, evaluation)
• Agents/tool/function calling
• Hands-on experience with Azure services:
• Azure AI Search(including vector search)
• Cosmos DB
• Azure Databricks and/or Synapse Analytics
• Event Hub / Service Bus
• Strong knowledge of vector databases:
• Pinecone, FAISS, Weaviate, or Azure AI Search vectors
• Experience with LLM fine-tuning & optimization:
• LoRA, PEFT/adapters
• Quantization/distillation or other optimization methods
• Applied experience in at least one area:
• Time-series forecasting
• Recommender systems
• NLP or multimodal modeling
• Production engineering skills: REST APIs, Docker, CI/CD, and cloud deployment.