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Pune · On-site · 10-13 Yrs · Oct 8
3 views
8 open roles0 posted in 7d8 in 30d
Hiring: Engineering
Job description
Overview
We are looking for a mid-level Python Developer with combined experience in Data Engineering and AI/NLP engineering.
Responsibilities
- Develop and optimize ETL/data processing jobs using PySpark, Pandas, PyArrow, and related libraries.
- Build and maintain NLP pipelines using Flair, BERT, and LLM-based models.
- Develop scalable ingestion and data transformation pipelines for AI and analytics use cases.
- Build and maintain Flask-based APIs for model inference and service integrations.
- Use regular expressions for text cleaning, parsing, and NLP preprocessing.
- Integrate caching and fast lookups using Redis.
- Manage and deploy ML models using MLflow for tracking and versioning.
- Support CI/CD workflows using GitHub, LightSpeed Enterprise, and deployment pipelines.
- Create and maintain Autosys JILs for job scheduling and automation.
- Use basic Linux commands for troubleshooting, operations, and deployment tasks.
- Monitor application and system health using ITRS Geneos.
- Write unit tests and improve automation test coverage (PyTest/unittest).
- Work with REST APIs, microservices, and basic shell scripting.
- Work with cloud services (ECS), including boto3.
Qualifications
- 10–12 years of hands-on Python programming experience.
- Strong fundamentals in Python, OOP, and design patterns.
- Solid experience with PySpark, Pandas, PyArrow, and distributed data pipelines.
- Good understanding of CI/CD practices and Git workflows.
- Comfortable with Linux command line and shell scripting.
- Strong debugging, problem-solving, and teamwork skills.
- Exposure to cloud services; AWS boto3 experience is an asset.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Data Engineer - Python, AI at Early Career?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Early Career may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer - Python, AI role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer - Python, AI remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Engineer - Python, AI role at Early Career?
- This is a mid-level Data Engineer - Python, AI role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.