01
TRPD-26-05633
Senior Python Developer (Data Science / Machine Learning)
Senior Python developer (8–10 years) needed to design and build scalable Python services and APIs while also owning data science/ML work end-to-end: data cleaning/EDA/feature engineering, model training and evaluation, and integration/deployment of ML models into Python applications. Strong SQL and relational database skills are required, along with experience building data pipelines and optimizing performance on large datasets. Preferred exposure includes GenAI/LLM tooling (RAG, embeddings, vector DBs, LangChain/LlamaIndex/Hugging Face) and cloud/DevOps (AWS/Azure/GCP, Docker, CI/CD, Kubernetes).
Position summary
- Location
- India
- Workplace
- Hybrid
- Employment
- Full Time
- Experience
- Minimum 8 years and Maximum 10 years
Role overview
Why This Role Matters.
Senior Python developer (8–10 years) needed to design and build scalable Python services and APIs while also owning data science/ML work end-to-end: data cleaning/EDA/feature engineering, model training and evaluation, and integration/deployment of ML models into Python applications. Strong SQL and relational database skills are required, along with experience building data pipelines and optimizing performance on large datasets. Preferred exposure includes GenAI/LLM tooling (RAG, embeddings, vector DBs, LangChain/LlamaIndex/Hugging Face) and cloud/DevOps (AWS/Azure/GCP, Docker, CI/CD, Kubernetes).
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Develop reusable, maintainable, and high-quality Python code following industry best practices.
03
Work with structured and unstructured data for data analysis, processing, and modeling.
04
Perform data cleaning, preprocessing, feature engineering, exploratory data analysis (EDA), and statistical analysis.
05
Develop, train, evaluate, and optimize Machine Learning models based on business requirements.
06
Implement and integrate ML/Data Science models into Python-based applications.
07
Work with libraries and frameworks such as Pandas, NumPy, Scikit-learn, SciPy, Matplotlib/Seaborn, and other relevant data science tools.
08
Develop data pipelines and automate data processing workflows.
09
Work with APIs, databases, and external data sources to collect and process data.
10
Optimize application and data-processing performance for large datasets.
11
Collaborate with Data Scientists, ML Engineers, Software Engineers, Product Owners, and business stakeholders.
12
Translate business problems into technical and data-driven solutions.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Python
Required
02
FastAPI
Required
03
Flask
Required
04
Django
Required
05
REST API
Required
06
Pandas
Required
07
NumPy
Required
08
Scikit-learn
Required
09
SciPy
Required
10
Matplotlib
Required
11
Seaborn
Required
12
SQL
Required
13
PostgreSQL
Required
14
MySQL
Required
15
SQL Server
Required
16
Oracle
Required
17
ETL
Required
18
ELT
Required
19
data pipelines
Required
20
feature engineering
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Python (8–10 years)
Strong Python fundamentals: OOP, data structures, exception handling
Design patterns and coding best practices/SDLC
REST API development (FastAPI or Flask or Django)
Unit testing, debugging, logging
Performance optimization (applications and data processing)
Git/version control
Data cleaning and preprocessing
Feature engineering
Exploratory Data Analysis (EDA)
Statistical analysis/statistical concepts
Machine Learning: regression, classification, clustering
Model evaluation/validation and hyperparameter tuning
Pandas
NumPy
Scikit-learn
SciPy
Matplotlib and/or Seaborn
SQL (strong)
Relational databases (PostgreSQL or MySQL or SQL Server or Oracle)
Preferred
Nice to Have
Generative AI / LLM-based applications exposure
LangChain
LlamaIndex
Hugging Face
RAG (Retrieval-Augmented Generation)
Embeddings
Vector databases
Prompt engineering
Integrating AI/ML into enterprise applications
Cloud exposure (AWS or Azure or GCP)
Docker/containerization
CI/CD pipelines and deployment automation
Kubernetes
MLOps/model deployment experience
Large-scale data processing experience
Domain experience in aviation/engineering/manufacturing or other technically complex domains
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Senior Python Developer (Data Science / Machine Learning)
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