Job Description

Position: Sr. developer or team lead.

Open position: 2

Key: Full stack

Added value: AI/ML/GenAI

Location: Hyderabad

Exp: 5-10 years.

College: From A grade colleges.

Salary: 10-15L

Communication: Excellent

Aptitude: Excellent

Start up: ready to work in start up environment

Joining: within 30 days.

JD:

•

You will contribute to the following areas of work:

Web Application Development:

Develop, test, and maintain scalable and robust full-stack applications using React.js, Python, Restful API, PostgreSQL.

Build and optimize front-end user interfaces for performance and seamless user experience.

Design and implement server-side logic and APIs, ensuring efficiency and security.

Data Analysis and Product Development:

Scope, define, and deliver AI-based data products covering data analysis, visualization, storytelling, and data technologies

Develop predictive models for cash flow forecasting and optimization

Create risk assessment models for lending decisions and credit scoring

Design and implement anomaly detection systems for fraud prevention in financial transactions

Machine Learning and AI:

Build models, algorithms, simulations, and performance evaluation by writing highly optimized, deployable code using state-of-the-art machine learning technologies

Apply NLP techniques for mining knowledge from public and enterprise-proprietary data (structured, unstructured, and semi-structured) to derive insights that will help downstream processes

Develop and serve models with PyTorch / TensorFlow (TF) for deep learning research

Implement reinforcement learning algorithms for automated cash management strategies

Financial Technology Integration:

Develop algorithms for real-time transaction categorization and financial pattern recognition

Create models for personalized financial advice and product recommendations

Implement time series analysis techniques for financial trend prediction and seasonality detection

Design and develop APIs for integrating machine learning models with financial systems and third-party services

Data Engineering and MLOps:

Build solutions for data discovery, acquisition, processing & cleaning, integration & storage, and interpretation

Define and manage the process of production using machine learning models through MLOps pipelines for development, continuous integration, continuous delivery, verification & validation, and monitoring of AI/ML models

Implement data pipelines for ingesting and processing financial data from various sources (banks, payment gateways, accounting software)

Stakeholder Collaboration and Business Impact:

Translate business requirements into tangible solution specifications and high-quality, on-time deliverables

Work with stakeholders to analyze & solve business problems using Machine Learning & Artificial Intelligence capabilities & support deployment on a cloud platform

Collaborate with UX/UI teams to integrate data-driven insights into user-friendly app features

Provide data-driven recommendations for product development and business strategy

Continuous Learning and Innovation:

Stay abreast of industry trends, innovations, and developments in AI/ML and work with other ML teams to pilot new advances and keep the organization future-ready

Contribute to the development of innovative fintech products and features

Desired Skills / Expertise:

Strong experience and mathematical understanding in one or more of Natural Language Understanding, Computer Vision, Machine Learning, and Optimization

Proven track record in effectively building and deploying ML systems using frameworks such as PyTorch, TensorFlow, Keras, scikit-learn, etc.

Expertise in modular, typed, and object-oriented Python programming

Proficiency with core data science languages (such as Python, R, Scala), and familiarity & flexibility with data systems (e.g., SQL, NoSQL, knowledge graphs)

Experience with financial data analysis, time series forecasting, and risk modeling

Knowledge of financial regulations and compliance requirements in the fintech industry

Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)

Understanding of blockchain technology and its applications in fintech

Experience with real-time data processing and streaming analytics (e.g., Apache Kafka, Apache Flink)

Excellent communication skills with a desire to work in multidisciplinary teams

Ability to explain complex technical concepts to non-technical stakeholders

Educational Qualifications:

Bachelor's / Master's / Ph.D. in Computer Science, Data Science, Financial Engineering, or related technical fields

Relevant certifications in data science, machine learning, or financial technology are a plus

Job Type: Full-time

Pay: ?1,000,000.00 - ?1,550,000.00 per year

Benefits:

• Internet reimbursement
• Paid sick time
• Provident Fund

Location Type:

• In-person

Schedule:

• Day shift

Work Location: In person