Hiring || Data Engineer || AI & ML || 3 To 5 Yrs || Pune

Vanderlande Industries

3 - 5 years

20 - 25 Lacs

pune

Posted:7 hours ago| Platform:

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Skills Required

data engineer rag llm analytics python power bi artificial intelligence sql

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & Responsibilities

Data & AI Engineer

Your responsibilities will include:

Designing and developing
data pipelines
using
Azure Data Factory
,
Databricks
, and
PySpark
Building and deploying
Machine Learning models
using
Python
,
SQL
, and
MLOps tools
Processing
structured and unstructured data
, including implementing
RAG (Retrieval-Augmented Generation)
techniques
Setting up and maintaining
CI/CD pipelines
for data and ML workloads
Ensuring
data quality
,
platform performance
, and
compliance
with security and governance standards
Integrating ML models into
monitoring and testing frameworks
for reliability and scalability
Collaborating with business and technical stakeholders in
Agile teams
to deliver data-driven solutions
Contributing to
knowledge sharing
,
code reviews
, and
continuous improvement
initiatives

Key Skills:

Python
,
PySpark
,
SQL
Azure Data Factory
,
Databricks
Machine Learning
,
MLOps
,
CI/CD
GenAI
,
RAG
,
Vector DBs
,
LLMs
LangChain
,
LangGraph
Power Platform
,
Agile Methodologies
Data Quality
,
Monitoring
,
Testing Frameworks

Preferred Candidate Profile

We are looking for a passionate and skilled professional who can bridge the gap between data engineering and AI innovation.

Ideal candidates will have:

3 to 5 years
of experience in
Data Engineering
,
Analytics Engineering
, or similar roles
A
Bachelors or Masters degree
in
Computer Science
,
Data Science
,
Artificial Intelligence
, or related fields
Strong programming skills in
Python
,
PySpark
, and
SQL
Hands-on experience with
Azure cloud services
,
Databricks
, and
data pipeline development
Solid understanding of
Machine Learning concepts
(e.g., regression, classification) and
MLOps practices
Experience with
GenAI
,
RAG
,
Vector Databases
, and
Large Language Models (LLMs)
Familiarity with
LLM frameworks
such as
LangChain
,
LangGraph
, or
DSPy
Exposure to
CI/CD tools
,
DevOps practices
, and
cloud-based deployments
Strong communication skills and a collaborative mindset
Knowledge of
low-code platforms
like
Power Platform
and experience working in
Agile environments

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