
The Risk team is responsible for overall risk framework and strategy for the organization. The team develops various risk models, arrives at various sector reports from a risk perspective and provides in depth analysis and recommendation around risk profiles of various clients.
In this role, the person is responsible for playing a leadership role in the Risk function to identify, assess, monitor and make timely and measured judgments on all current and potential future risks faced, in order to protect the organization’s interest, assets and reputation of the group along with growing shareholder value and profitability.
Responsibilities
- Manage risk for the retail and wholesale portfolio. Should have managed organization level Risk Policies, Credit Underwriting and Collection functions.
- Manage risk framework for the organization - including updating, establishing new risk management mechanisms, to identify, assess, monitor, measure and control a broad spectrum of risks. Ensure all policies and frameworks are kept updated and deployed to the optimum level.
- Develop continuous monitoring and improvement of the quality of the organization's credit and lending portfolio through credit policy direction and implementation.
- Possess a complete understanding the business. Evaluate, improve, and monitor the business, including assisting in reporting to the Board and Board Committees and providing leadership in the effectiveness of credit risk management controls, systems, and processes across the organization.
- Lead and mentor a team of analysts.
- Possess 7+ years of relevant experience in financial services industry in a risk role.
- Exposure to both wholesale and retail risk in a banking environment will be preferred. Some experience in a business / sales role within the banking / NBFC space will be an added advantage.
- Should have held a position of authority in terms of allocation and appropriating limits.
- Sector understanding in financial institution space and good knowledge of interpreting financial trends.
- High proficiency in Python and SQL/NoSQL.
- Experience with big data and cloud computing e.g., PySpark, data lake is a plus.
- Outstanding written, verbal and interpersonal communication skills.
- Ability to speak at various levels of an organization (CXOs to analysts).
- Have demonstrated resilience – stayed with companies and taking businesses to scale, have preferably not ‘hopped jobs. Strong organizational skills and excellent follow-through.
- Present / articulate / position an idea compellingly and ability to work in a fast-paced dynamic environment.
- Excellent communication and presentation skills.
- Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work.
- Learns continuously; Seeks out knowledge, ideas and feedback.

About Kaleidofin
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Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)
Experience : 4 to 8 Years
Location : Gurgaon Sector - 43
Employment Type : Full-time
Job Summary :
We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.
The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.
Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.
Key Responsibilities :
- Develop, optimize, and maintain backend services using Python (FastAPI, Django).
- Design and implement API endpoints for high-performance and secure data exchange.
- Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
- Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
- Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
- Optimize backend performance for scalability and reliability in AI-driven applications.
- Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
- Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.
Required Skills & Qualifications :
- 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
- Proficient in FastAPI and Django frameworks for API and backend development.
- Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
- Familiarity with machine learning model lifecycle and integration into production systems.
- Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
- Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
- Exposure to CI/CD pipelines and DevOps tools.
- Good understanding of Git, version control, and testing frameworks.
Nice to Have :
- Experience with LangChain, Hugging Face, or similar LLM frameworks.
- Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
- Understanding of vector databases (Pinecone, Chroma, etc.).
Education :
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Hiring For SDE II - Python (Remote)
The Impact you will create:
-
Build campaign generation services which can send app notifications at a speed of 10 million a minute
-
Dashboards to show Real time key performance indicators to clients
-
Develop complex user segmentation engines which creates segments on Terabytes of data within few seconds
-
Building highly available & horizontally scalable platform services for ever growing data
-
Use cloud based services like AWS Lambda for blazing fast throughput & auto scalability
-
Work on complex analytics on terabytes of data like building Cohorts, Funnels, User path analysis, Recency Frequency & Monetary analysis at blazing speed
-
You will build backend services and APIs to create scalable engineering systems.
-
As an individual contributor, you will tackle some of our broadest technical challenges that requires deep technical knowledge, hands-on software development and seamless collaboration with all functions.
-
You will envision and develop features that are highly reliable and fault tolerant to deliver a superior customer experience.
-
Collaborating various highly-functional teams in the company to meet deliverables throughout the software development lifecycle.
-
Identify and improvise areas of improvement through data insights and research.
Primary Responsibilities
-
End-to-end ownership of product development, from design, through implementation, testing, deployment, and maintenance
-
Translating high-level requirements and end-user use cases into design proposals, decomposing complex features into smaller, short-term deliverable tasks
-
Maintaining constant focus on scalability, performance and robustness of architecture
-
Designing and implementing logging, monitoring and alerting systems for existing and new infrastructure
-
Documenting API's and architecture design
-
Mentor and guide juniors on their path to become solid developers
What we look for?
-
4+ of industry experience in technical leadership roles
-
Solid knowledge of Python, SQL, NoSQL, shell scripting and Linux operating environment
-
End-to-end experience in design and development of highly scalable enterprise and cloud data products
-
Ability to challenge and redefine existing architecture to create robust, scalable and reliable products
-
Hands-on experience with design and troubleshooting of scalable web services, queue based systems, distributed databases and streaming services
-
Experience with modern DevOps technologies such as kOps, Kubernetes and Docker, CI/CD, monitoring and autoscaling
We are seeking a motivated and detail-oriented Junior Backend Engineer to join our team. The role involves developing and maintaining backend systems using Django and Python, while also managing on-premises hardware and deployments. You will work closely with cross-functional teams to ensure our software is reliably configured, deployed, and maintained in an on-prem environment.
Key Responsibilities
Backend Development: Design, develop, and maintain backend services and APIs using Python (Django or Flask).
On-Prem Deployment: Install, configure, and manage software on on-premises hardware, including servers and networking equipment.
Database Management: Design database schemas, write efficient queries, and optimize data access layers (PostgreSQL, MySQL, etc.).
API Integration: Implement and maintain RESTful APIs and integrate with third-party services.
Troubleshooting & Debugging: Diagnose and resolve application and infrastructure issues to ensure high availability.
Version Control & CI/CD: Use Git for version control and contribute to continuous integration and delivery pipelines (GitHub Actions, Jenkins, etc.).
Security & Compliance: Work with the team to ensure software and infrastructure meet security and compliance requirements.
Documentation: Maintain clear, comprehensive documentation for your code, configurations, and on-prem deployment processes.
• Experience in the financial domain preferred.
• Hands-on developer in Core Java with an excellent understanding of computer science fundamentals, data structures, algorithms and design patterns.
• Experience with frameworks like Spring, Restful Webservices, Queuing systems, Angular, and Python is highly desired.
• Deep understanding of several cloud providers such as AWS, Azure, Google etc.
• Hands-on experience developing CI/CD pipelines for continuous development and integration.
• Deep knowledge and experience of Java/J2EE and servers like Tomcat.
• BE/B. Tech. Computer Science or MCA from a reputed University.
• 8+ Years of experience in software development, with emphasis on JAVA/J2EE Server side
programming.
• Hands on experience in Core Java, Multithreading, RMI, Socket programing, JDBC, NIO,
webservices and Design patterns.
• Should have Knowledge of distributed system, distributed caching, messaging frameworks, ESB
etc.
• Knowledge of Linux operating system and PostgreSQL/MySQL/MongoDB/Cassandra database is
essential.
• Additionally, knowledge of HBase, Hadoop and Hive are desirable.
• Familiarity with message queue systems and AMQP and Kafka is desirable.
• Should have experience as a participant in Agile methodologies.
• Should have excellent written and verbal communication skills and presentation skills.
• This is not a Fullstack requirement, we are purely looking out for Backend resources.
Job Summary
- 5 to 8 years of experience with Python, and well versed with RDBMS (SQL Server preferred).
- Should have good experience in Data Structures, Algorithms, NumPy, and Pandas.
- Familiar with JSON and REST APIs
- Strong knowledge of object-oriented and parallel programming techniques
- Experience with test-driven development (TDD)
- Excellent analytical and problem-solving skills
- Good interpersonal skills
- Good team player
Skills:
Python Developer
Python
API
RDBMS








