Drevol
Website:
drevol.com
Job details:
Role: AI/ML Engineer role
Location: Vadodara - Onsite
Department: Technology / Data & AI
Job Summary
We’re looking for AI Engineers with strong hands-on experience building and integrating LLM-powered systems. The ideal profiles includes deep Python skills and production-grade experience with agent frameworks and modern API development.
Key Requirements
We are looking for someone with at least 5 years of overall backend experience and min 1-2 years of AI experience. Tech stack: Python, FastAPI, Langchain.
- AI & LLM Integration (prompting, orchestration, model evaluation, pipeline design)
- Python (production-level backend + data/ML workflows)
- LangGraph & LangChain (agent workflows, tools, memory, graph-based orchestration)
FastAPI (robust backend services, API gateways, async execution)
Key Responsibilities
Area Responsibility
AI/ML Development
Design, train, and fine-tune ML models including NLP, recommendation systems, predictive analytics.
LLM & Generative AI
Integrate and optimize LLMs (e.g., OpenAI, Azure OpenAI, Claude, Gemini) into enterprise use cases.
Agentic AI Systems
Build autonomous AI agents with memory, reasoning, and workflow execution capabilities.
Data Lake Integration
Collaborate with Data Engineers to ingest and prepare data from Data Lake/Fabric.
MLOps & Deployment
Package and deploy models using containers (Docker, Kubernetes) and CI/CD pipelines.
Data Governance
Ensure all models use compliant, secure, and auditable data pipelines.
Performance Monitoring
Set up model monitoring, drift detection, and continuous improvement loops.
Collaboration
Work cross-functionally with product, data, and engineering teams.
Required Skills and Experience
- 3–6 years of experience in AI/ML development or applied data science.
- Strong experience with Python, PyTorch/TensorFlow, LongChain, HuggingFace, Scikit-learn.
- Experience working with LLMs, vector databases (e.g., Pinecone, Weaviate, FAISS), and embeddings.
- Good understanding of Azure ML, Azure Fabric, or other cloud-based AI services.
- Proficiency in REST APIs, JSON, and integrating AI into applications via microservices.
- Familiarity with tools like Fivetran, Power BI, dbt, or Data Factory is a plus.
- Experience with MLOps tools like MLflow, Weights & Biases, or Azure DevOps.
- Knowledge of data governance, privacy, responsible AI principles, AI-driven security and predictive analytics.
Preferred Qualifications
- Degree in Computer Science, AI, Data Science, or related field.
- Experience in building enterprise-grade AI copilots or chatbots.
- Knowledge of business domains like eCommerce, Supply Chain, or Retail.
- Certification in Azure AI Engineer or equivalent is a plus.
Soft Skills
- Strong problem-solving and analytical thinking.
- Excellent communication and documentation skills.
- Entrepreneurial mindset with ability to work in fast-paced environments.
- Ownership-driven and collaborative.
Opportunities
- Work on high-impact AI products with real-world business applications.
- Exposure to enterprise architecture, data platforms, and full AI lifecycle.
- Be part of a team shaping the future of GenAI and Agentic AI.
Click on Apply to know more.