Data Architect - (AI/ML)

Pine Labs; Dadri; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading digital commerce company is seeking a skilled Data Architect-AI/ML with 10-15 years of experience. The successful candidate will analyze complex financial data, develop predictive models, and work collaboratively with cross-functional teams. Strong skills in machine learning, data analysis using Python or R, and experience with AWS are essential. The role is based in Dadri, India, and emphasizes innovative thinking and a proactive approach to pushing boundaries in data architecture.

Qualifications

• 10-15 years of hands-on experience in AI, data science, or machine learning.
• Experience working with large datasets and performing data cleaning.

Responsibilities

• Analyze financial data to identify trends and actionable insights.
• Develop and implement machine learning models.
• Clean, preprocess, and transform data.

Skills

Data analysis

Machine learning

Python

R

Data visualization

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics

Tools

AWS Glue

Tableau

TensorFlow

Job description

Overview

Those who share our core belief of 'Every Day is Game Day'

We bring our best selves to work each day to realize our mission of enriching the world through the power of digital commerce and financial services.

ROLE PURPOSE

We are looking for a highly skilled and motivated Data Architect-AI/ML with 10-15 years of experience to join our growing team. You will work with large payment datasets to uncover actionable insights, build predictive models, and contribute to strategic decision-making across various departments. The ideal candidate will have strong analytical and programming skills, a solid understanding of machine learning algorithms, and the ability to collaborate effectively with cross-functional teams. You will be helping the strategic initiatives which feed insights to Pine Labs merchants, partners and internal consumers.

THE RESPONSIBILTIES WE ENTRUST YOU WITH.

• Analyze and interpret complex financial data to identify trends, patterns, and actionable insights.
• Develop and implement machine learning models for predictive analytics, classification, regression, etc. Collaborate with product, engineering, and business teams to define data science requirements and deliver impactful results.
• Clean, preprocess, and transform data to ensure quality and consistency. Use data visualization techniques to communicate findings clearly to non-technical stakeholders.
• Contribute to the development and enhancement of data pipelines and workflows.
• Monitor and evaluate model performance, ensuring accuracy and reliability over time.
• Stay updated on the latest advancements in data science and machine learning.

WHAT MATTERS IN THIS ROLE

• Experience & Portfolio: 10-15 years of hands-on experience in artificial intelligence, data science, machine learning, or related fields.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Technical Skills & Efficiency

• Proficiency in Python, R, or similar programming languages for data analysis and model development.
• Strong knowledge of machine learning algorithms (e.g., regression, classification, clustering).
• Familiarity with data manipulation and analysis libraries (e.g., pandas, NumPy, SciPy).
• Familiarity with AWS cloud platforms (DMR, Glue, Redshift).
• Experience with data visualization tools (e.g., Tableau, Power BI, superset).
• Experience working with large datasets and performing data cleaning and preprocessing.
• Strong communication skills and ability to collaborate with cross-functional teams.

Preferred Skills

• Familiarity with development tools (eg. Jupyter notebook, visualBasic code)
• Experience with SQL databases.
• Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with data processing tools (e.g. Spark).
• Familiarity with version control systems like Git.

Communication & Ownership

• Communication Skills: Excellent verbal and written communication, with the ability to build relationships with candidates and stakeholders.
• Organizational Skills: Ability to manage multiple roles and priorities simultaneously in a fast-paced environment.
• Adaptability: Comfortable with dynamic requirements and able to pivot recruitment strategies as needed.

THINGS YOU SHOULD BE COMFORTABLE WITH

Working from office: As of now, we work out of our offices, 5 days a week.

Pushing the boundaries: Have a big idea? See something that you feel we should do but haven’t done? We will hustle hard to make it happen. We encourage out of the box thinking, and if you bring that with you, we will make sure you get a bag that fits all the energy you bring along.

WHAT WE VALUE IN OUR PEOPLE

• You take the shot: You decide fast and deliver right.
• You are the CEO of what you do: You show ownership and make things happen.
• You sign your work like an artist: You seek to learn and take pride in the work you do.