Python with Django – Python with Django L3 (5.1-7 years)

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

WHY JOIN CAPCO?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: • A work culture focused on innovation and creating lasting value for our clients and employees • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients • A diverse, inclusive, meritocratic culture

We offer:

• A work culture focused on innovation and creating lasting value for our clients and employees
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients

Python with Django | 5–7 Years | Chennai

Direct Responsibilities 

You will drive the industrialization of AI solutions, ensuring they are reliable, scalable, and aligned with technical best practices. You will act as the key bridge between Data Scientists and IT Production team, translating business needs into production-ready ML pipelines while anticipating technological advancements. 

As part of the Machine Learning Engineers Chapter, you will collaborate closely with Brussels-based teams, maintaining seamless Data sourcing for the Tribe’s AI use cases, and help the teams maintain a high level of obsolescence management and security in the python environments. Your role is both strategic and operational, transforming prototypes into high-performance AI services while fostering excellence in MLOps, code quality, and cross-team collaboration. 

Contributing Responsibilities 

• Promote new technologies & best practices in testing 

• Continuously strive for further automation & improvement by presenting new proposals 

• Analysis of the requirements regarding automation 

Technical & Behavioral Competencies    

Must-have: 

• >4 years of professional experience in Python Programming (OOP, decorators, code quality & security, performance optimization)  

• Python environment building : strong uv skills, pip, mamba, micromamba, 

• ML engineering: MLOps, model versioning, deployment

• Containerization & orchestration: Docker, Kubernetes (scaling, resource management). 

• CI/CD pipelines: Jenkins, GitLab CI/CD (advanced workflows, artifact management). 

• Linux/Cloud infrastructure: Bash scripting, system administration, troubleshooting. 

• Database systems: PostgreSQL (query optimization, schema design). 

• Monitoring & incident management: Advanced logging & analysis, debugging complex issues. 

• Denodo Platform Proficiency – Ability to configure, query, and optimize virtual data layers using Denodo’s data virtualization tools, including creating logical views, data services, and API integrations. 

• Strong SQL skills to write efficient queries in Denodo’s VQL (Virtual Query Language) and optimize data retrieval for AI model training and validation. 

• Data Virtualization & Integration – Experience in connecting disparate data sources (e.g., databases, APIs, ETL pipelines) via Denodo to enable seamless data exploration for AI/ML workflows. 

• Airflow DAG Development & Orchestration – Ability to design, implement, and maintain scalable Directed Acyclic Graphs (DAGs) for AI/ML pipelines, including task dependencies, retries, and dynamic workflow generation 

• Airflow Integration & Optimization – Experience in: 

• Connecting Airflow to data platforms (Denodo, PostgreSQL, S3, etc.) and ML tools (e.g., MLflow, Kubeflow) via hooks, custom operators, or APIs. 

• Optimizing performance through parallelism tuning, executor selection (Celery/Kubernetes), and efficient XComs/artifact handling for large-scale workflows. 

Nice-to-have:

• API design (Django framework). 

• Distributed ML systems (Spark, Hadoop) and ETL/ELT pipelines (Airflow). 

• Model compression/optimization (quantization, pruning). 

• Data visualization (Kakfa, Kibana, ELK, Grafana) for monitoring dashboards. 

Specific Qualifications: 

• Excellent spoken and written English, with the ability to communicate clearly and effectively with international colleagues in a multicultural environment (daily collaboration with Brussels-based teams). 

• Remote Collaboration: Proactive participation in Brussels meetings (camera on) 

Behavioral Skills:  

• Agile and Scrum experience 

• Business experience 

Education Level: Bachelor Degree, PG or equivalent 

Location: Chennai 

Responsibilities

• Lead end-to-end execution of projects and cross-functional deliverables for Python with Django - Python with Django L3 (5.1-7 years).
• Collaborate closely with departmental peers and stakeholders to ensure seamless operational continuity.
• Monitor core performance KPIs, troubleshoot bottlenecks, and implement optimization protocols.
• Champion high quality standards, peer reviews, and comprehensive team documentation.