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Job Description
Role Description:
We are looking for a hands on Data Engineer / AI Developer who can rapidly build AI enabled applications, automate workflows, and deliver solutions end to end using modern SDLC practices.
The role requires a builder mindset-someone comfortable moving from idea to prototype to production quickly, while following good engineering discipline.
Key Responsibilities
Build lightweight data & AI applications (dashboards, APIs, copilots, automations, PoCs)
Develop data pipelines, feature flows, and AI integrations (batch & nearrealtime)
Implement automation and workflows across systems (APIs, eventdriven, scheduled jobs)
Apply SDLC best practices: version control, CI/CD, testing, documentation
Collaborate with business and product teams to translate ideas into working solutions
Package solutions for reusability and scale (modular code, templates, configs)
Stay current with new techniques, tools, and frameworks in data science and AI
Functional & Business Competencies
- Machine Learning & Model Development
Statistical Analysis & Feature Engineering
Problem Framing & Hypothesis Testing
Business Impact Orientation
Collaboration with Engineering & Product Teams
Data Pipeline Design & Optimization
ETL/ELT Development
Cloud Data Services
Collaboration with Analysts & Scientists
Data Quality & Performance Monitoring
Clear Communication of Analytical Findings
Qualifications & Experience
5-7 years of experience in data science, machine learning, or applied statistics
Hands on experience in application development and workflows.
Proficient in Python (e.g., scikit-learn, pandas), SQL, and ML frameworks
Familiarity with cloud services for data (e.g., Databricks, Azure Data Factory)
Experience working with cloud-based ML environments (AWS Sagemaker, Azure ML, etc.)
Bachelors or Masters degree in Data Science, Computer Science, Statistics, or related field
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Qualifications
Educational qualification:
B.E/B.Tech/MCA or equivalent qualification
Experience :
5-7 years of experience in data science, machine learning, or applied statistics
Mandatory/requires Skills :
ETL/ELT Development, Machine Learning & Model Development
Preferred Skills :
Skills
PythonData ScienceEtlMachine LearningData EngineerAi DeveloperAiMlSqlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
21 Jun 26, 03:32 PM IST
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