Artificial Intelligence Engineer

2 days ago

Vadodara, Gujarat, India Drevol Full time

Location:
Vadodara

Department:
Technology / Data & AI

Job Summary

We are seeking a skilled and innovative
AI Engineer
to design, build, and deploy AI-driven solutions using cutting-edge technologies like
LLMs (Large Language Models) & its integration, RAG pipelines, Agentic AI
, and
enterprise-grade data platforms
such as Azure Fabric, Data Lakes, and Power BI. This role requires a blend of software engineering, data engineering, and applied AI/ML capabilities with a focus on production-ready solutions that create tangible business impact.

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.

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