CARD- Data Scientist Engineer

Job Description -Associate Data Scientist / ML Engineer

This is a leading Issuance Platform-as-a-Service provider, revolutionizing payment infrastructure for banks, corporations, and fintech companies. Our platform supports the issuance of various payment instruments, including PPI, debit, credit, multi-currency cards, and UPI,
enhancing transaction visibility, control, and decision-making speed for customers, vendors, partners, and employees.
We pride ourselves on supporting diverse, payment-instrument-agnostic use cases, fulfilling our vision of seamless and efficient issuance. This collaborates closely with major card networks like RuPay, Visa, and Mastercard, and is NPCI's preferred partner. This ensures our products effectively address payment challenges in India and are as well-suited for global expansion. Backed by $14 million in pre-Series A funding from top-tier investors including Infinity Ventures, Point72 Ventures, Sabre Partners, EMVC, Commerce Ventures, and notable angel investors,This is headquartered in Bengaluru with offices in Mumbai, Delhi, and Chennai. Founded in early 2020 by Ajay Pandey and Vineet Saxena, our team brings extensive experience in payments, lending, sales, and product scaling. We comprise technopreneurs and seasoned bankers, offering diverse expertise and thought leadership.

Position: Associate Data Scientist(ML Engineer)

We are seeking a talented Data Scientist/ML Engineer to join our growing team. In this role, you will play a vital role in building and deploying machine learning systems, determining the best algorithms and models to use, and then building and implementing
these models in a production environment.

Responsibilities & Duties

● Develop and implement machine learning algorithms and models (e.g., regression, classification, clustering, NLP, etc.)
● Analyze large datasets to extract insights and create predictive models that improve business performance
● Build and deploy end-to-end machine learning pipelines from data preprocessing to model deployment in production environments
● Collaborate with data engineers to design scalable data architectures and workflows
● Evaluate and fine-tune model performance using metrics, cross-validation, and hyperparameter optimization techniques
● Apply deep learning models for image recognition, natural language processing (NLP), and other relevant use cases
● Integrate AI/ML models with APIs and work closely with software developers to ensure smooth deployment
● Stay up-to-date with the latest research in AI/ML and incorporate cutting-edge techniques into solutions
● Communicate insights, results, and technical concepts to both technical and non-technical stakeholders
● Contribute to the continuous improvement of data science processes and tools

.Qualifications & Skills

● 2-4 years of experience manipulating data sets and building statistical models, with a Bachelor's/Master's/PhD degree in Machine Learning/Data Science, Applied Statistics, Mathematics, Computer Science or another quantitative field.
● Experience using statistical computer languages, Python, R, SQL to manipulate data and draw insights from large data sets.
● Familiarity with Scala, Golang or Java is an asset.
● Application of statistics for hypothesis testing and concluding on analysis
● Familiarity with data visualization tools such as Tableau, PowerBI, or Python libraries (e.g., Matplotlib, Seaborn)
● Big data - Hadoop, Spark
● Experience in deploying models into production environments (e.g., AWS, GCP, or Azure)
● Knowledge of software development practices, version control (Git), and containerization (e.g., Docker, Kubernetes)
● Eagerness to learn and apply new data science techniques to solve complex problems.
● Basic knowledge of database systems, SQL, and NoSQL databases.
● Excellent verbal communication skills.
● Good problem-solving skills..
● Attention to details

Why should you join?

● You prefer working in small groups. We're a start-up, and we think smaller teams have a lot of power. There is less management overhead and more discussion about then important work
● You care about the end-user and developer experience, as well as how the backend affects them. Rather than taking the path of least resistance, work backwards from
what the user experience requires
● We offer competitive pay (above market average). We've received adequate funding from a number of well-known fintech investors, and we're planning to stay in the game for the long haul. It will be an exciting and interesting adventure ahead, and we mare looking forward to working with some fantastic teammates

What's on offer
● Best in class compensation package
● Stock options for long term wealth creation
● Group health insurance that covers your family
● A vibrant, open and fun work culture