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The role is with a Fintech Credit Card company based in Pune within the Decision Science team. (OneCard )

About

Credit cards haven't changed much for over half a century so our team of seasoned bankers, technologists, and designers set out to redefine the credit card for you - the consumer. The result is OneCard - a credit card reimagined for the mobile generation. OneCard is India's best metal credit card built with full-stack tech. It is backed by the principles of simplicity, transparency, and giving back control to the user.

The Engineering Challenge

“Re-imaging credit and payments from First Principles”

Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies.

Purpose of Role :

- Develop and implement the collection analytics and strategy function for the credit cards. Use analysis and customer insights to develop optimum strategy.

CANDIDATE PROFILE :

- Successful candidates will have in-depth knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques. They will be an adept communicator with good interpersonal skills to work with senior stake holders in India to grow revenue primarily through identifying / delivering / creating new, profitable analytics solutions.

We are looking for someone who:

- Proven track record in collection and risk analytics preferably in Indian BFSI industry. This is a must.

- Identify & deliver appropriate analytics solutions

- Experienced in Analytics team management

Essential Duties and Responsibilities :

- Responsible for delivering high quality analytical and value added services

- Responsible for automating insights and proactive actions on them to mitigate collection Risk.

- Work closely with the internal team members to deliver the solution

- Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution

- Use analysis and customer insights to develop value propositions for customers

- Maintain and enhance the suite of suitable analytics products.

- Actively seek to share knowledge within the team

- Share findings with peers from other teams and management where required

- Actively contribute to setting best practice processes.

Knowledge, Experience and Qualifications :

Knowledge :

- Good understanding of collection analytics preferably in Retail lending industry.

- Knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques and market trends

- Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Multiple Regression, LOGIT, PROBIT, time- series modelling, CHAID, CART etc.

- Knowledge of Machine learning & AI algorithms such as Gradient Boost, KNN, etc.

- Understanding of decisioning and portfolio management in banking and financial services would be added advantage

- Understanding of credit bureau would be an added advantage

Experience :

- 4 to 8 years of work experience in core analytics function of a large bank / consulting firm.

- Experience on working on Collection analytics is must

- Experience on handling large data volumes using data analysis tools and generating good data insights

- Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to technical and non-technical audiences

- Excellent communication, presentation and writing skills Strong interpersonal skills

- Motivated to meet and exceed stretch targets

- Ability to make the right judgments in the face of complexity and uncertainty

- Excellent relationship and networking skills across our different business and geographies

Qualifications :

- Masters degree in Statistics, Mathematics, Economics, Business Management or Engineering from a reputed college

Job Description

About the Role

We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.

This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.

Responsibilities

• Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
• Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
• Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
• Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
• Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
• Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
• Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
• Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
• Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
• Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.

Required Skills & Qualifications

• 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
• Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
• Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
• Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
• Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
• Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
• Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
• Experience with model evaluation, monitoring, and performance optimization in production environments.
• Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
• Proven ability to lead technical initiatives and mentor engineering teams.

Preferred Qualifications

• Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
• Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
• Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
• Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
• Experience designing enterprise-scale AI platforms or AI-powered products.

Required Skills:

• Experience in systems administration, SRE or DevOps focused role
• Experience in handling production support (on-call)
• Good understanding of the Linux operating system and networking concepts.
• Demonstrated competency with the following AWS services: ECS, EC2, EBS, EKS, S3, RDS, ELB, IAM, Lambda.
• Experience with Docker containers and containerization concepts
• Experience with managing and scaling Kubernetes clusters in a production environment
• Experience building scalable infrastructure in AWS with Terraform.
• Strong knowledge of Protocol-level such as HTTP/HTTPS, SMTP, DNS, and LDAP
• Experience monitoring production systems
• Expertise in leveraging Automation / DevOps principles, experience with operational tools, and able to apply best practices for infrastructure and software deployment (Ansible).
• HAProxy, Nginx, SSH, MySQL configuration and operation experience
• Ability to work seamlessly with software developers, QA, project managers, and business development
• Ability to produce and maintain written documentation

Job description:

• Hands on skills in Java programming languages
• Experience of testing of Cloud Native applications with exposure of Kafka.
• Understanding the concepts of K8, Caching, Rest / GRPC and Observability
• Experience with good programming or scripting practices and tools: code review, ADO/Jenkin etc
• Apply expertise in Java, API Testing, Cucumber or other test frameworks to design, develop and maintain automation test suites.
• Intimate familiarity with QA concepts: white-/black-/grey-box testing, acceptance/regression test, system integration test, performance/stress test, and security tests

• Candidate should have relevant telesales experience
• Candidate should be available for immediate joining
• Responsible for planning, implementing and directing the sales activities of the company in a designated area to achieve sales objectives 2. Develop a sales strategy to achieve organizational sales goals and revenues 3. Sales Closure of hair and skin clients 4. Identify new sale leads 5. Responsible for driving consultation to Location allotted 6. Develop and implement new sales initiatives, strategies and programs. 7. Contacting potential client via email or phone to establish rapport and set up meetings 8. Developing sales goals for the team and ensuring they are met 9. Negotiating on phone, email or in-person 10. To provide report and feedback to upper management about what is and is not working 11. To provide detailed report and feedback to upper management 12. Extensive Follow-up for the Clients allotted 13. Giving client good client experience 14. If & when required need to sit in reception area also
•  

Technical Support Engineer, who can assist clients with product issues and help to maintain a high customer retention level. He/She will be responsible for inbound and outbound support tickets from the customer base and addressing customer Technical issues and concerns.

Key Responsibilities :

Manage, maintain, support and troubleshoot the mobile cloud environment and its related mobile devices and suggest adjustments and new system designs for future needs.

Experienced in a tech support role in managing Android, iOS or Windows devices

Work closely with operations and software engineering teams to design and implement scalable and high performance solutions for our platform as a service and internal management tools

Quickly and efficiently troubleshoot simple and complex issues in order to provide outstanding support for internal service level objectives

Deal directly with customers, and respond promptly to customer inquiries

Handle issues by providing the appropriate Root cause of the issue

Identify areas for process and efficiency improvement within Platform Services Operations; recommend solutions and assist in overseeing implementation. Actively facilitate continuous improvement

Technical Skills – Must Have:

Experience on mobile device platforms (Android, iOS, Windows or Mac) 
Knowledge on SAAS product support which has a cloud console -preferably in the mobility space
Working experience with Partners & Customers, Voice and Remote support
Worked on log collection and analyzing tools
Proficient in working on support desk/CRM tools such as Zoho/Zendesk/Salesforce
Experience of issue tracking software such as Jira/Bugzilla/Mantis/Remedy
Resourceful in understanding IT communication, troubleshooting, debugging and maintenance in multi-platform environments.

Nice To Have :

Technical troubleshooting involving monitoring web-app performance, crash analysis etc
Should have basic experience in understanding help docs and articles.
Understanding of MDM, EMM on either of the platforms (Android, iOS, Windows & Mac) can be an added advantage.

Skills :

Must possess strong communication skills in English, both written and verbal
Quick learner and versatile.
Flexible to work in different shifts
Excellent Email communication is a must.
Strong ownership
An excellent problem solver with strong analytical skills

Primary duties and responsibilities include:

·         Candidate should be able to work independently with client and should possess excellent written and verbal communication skills.

·         Work closely with experienced integration, frontend, or backend development teams

·         Contribute to estimation and scoping of projects

·         Work on presales environment for checking feasibilities for customer requirement.

Required Experience

·         Bachelor’s degree in Computer Science, or equivalent work experience

·         8 to 10 years of programming experience—preferably with Java 8+, and other tool support

·         5 years of Java # 6 experience

·         Should have experience in executing project independently.

·         Demonstrated ability of Design Patterns and to write efficient, reusable rest services and libraries

·         Experience with agile software development methodologies and software development best practices, pair programming and CI/CD

·         Excellent written and verbal communication skills

·         Excellent analytical skills for solution building of customer requirements.

·         Good knowledge of datastores (RDBMS, Oracle, SQL)

·         Must have in depth understanding of the L1, L2, L3 support environment.

·         Experience in Java, JavaScript, CSS, HTML, XML and other web technologies

·         Strong understanding of network OS and system configurations.

·         Familiarization with OSLC and REST APIs

·         Ability to successfully lead offshore development teams and work in global delivery model- US, India, Germany

·         Knowledge of LDAP

·         Experience with Microsoft Office products- Word, Excel, Powerpoint

·         Experience with other Requirements Management Tools (Polarion, PTC Integrity) will be a value add

Preferred Experience

·         Understanding of high-availability, fault-tolerant, scalable, distributed systems

·         Working knowledge of iText 7, OpenFeign, RabbitMQ/JMS, Mockito and jUnit/nUnit, Spring Cloud


Salary is not constriant. Candidate should have interest to new things.

 Review all job requirements and specifications required for deploying the solution into the production environment. 

 Perform various unit/tests as per the checklist on deployment steps with help of test cases and maintain documents for the same. 

 Work with Lead to resolve all issues within the required timeframe and inform for any delays. 

 Collaborate with the development team to review new programs for implementation activities and manage communication (if required) with different functions to resolve issues and assist implementation leads to manage production deployments. 

 Document all issues during the deployment phase and document all findings from logs/during actual deployment and share the analysis. 

 Review and maintain all technical and business documents.  Conduct and monitor software implementation lifecycle and assist/make appropriate customization to all software for clients as per the deployment/implementation guide 

 Train new members on product deployment, issues and identify all issues in processes and provide solutions for the same. 

 Ensure project tasks as appropriately updated in JIRA / ticket tool for in-progress/done and raise the issues. 

 Should take self-initiative to learn/understand the technologies i.e. Vertica SQL, Internal Data integration tool (Athena), Pulse Framework, Tableau. 

 Flexible to work during non-business hours in some exceptional cases (for a few days) required to meet the client time zones. 

Experience on Tools and Technologies preferred: 

ETL Tools: Talend or Informatica ,Abinitio,Datastage 

BI Tools: Tableau or Jaspersoft or Pentaho or Qlikview experience 

Database: Experience in Oracle or SS 

Methodology: Experience in SDLC and/or Agile Methodology

• Oversee the sales process to attract new clients.
• Work with senior team members to identify and manage risks.
• Maintain fruitful relationships with clients and address their needs effectively.
• Research and identify new market opportunities.
• Prepare and deliver pitches to potential investors.
• Foster a collaborative environment within the organization