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
We're looking for an AI Engineer / Data Scientist to design, build, and deploy AI solutions on the Microsoft Azure ecosystem. You'll 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 usingAzure 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
- 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.
