Senior Data Engineer

What you’ll do?

Partnering with internal business owners (product, marketing, edit, etc.) to understand needs anddevelop custom analysis to optimize for user engagement and retention.

Good understanding of the underlying business and workings of cross functional teams for successful execution.

Design and develop analyses based on business requirement needs and challenges.

Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.

Providing statistical analysis on custom research projects and consult on A/B testing and otherstatistical analysis as needed.

Other reports and custom analysis as required.

Identify and use appropriate investigative and analytical technologies to interpret and verify results.

Apply and learn a wide variety of tools and languages to achieve results.

Use best practices to develop statistical and/ or machine learning techniques to build models thataddress business needs.

Collaborate with the team in order to improve the effectiveness of business decisions throughthe use of data and machine learning/predictive modeling.

Innovate on projects by using new modeling techniques or tools.

Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept. C

ommunicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Who you need to be?

Typically has 2 - 6 years of relevant experience.

Preferred education: Bachelor's degree in a technical field or equivalent experience Experience in advanced analytics, model building, statistical modeling, optimization, and machinelearning algorithms.

Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection.

Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.

Strong with programming languages like Python and data processing using SQL or equivalent andability to experiment with newer open-source tools.

Experience in normalizing data to ensure it is homogeneous and consistently formatted to enablesorting, query and analysis.

Experience designing, developing, implementing and maintaining a database and programs tomanage data analysis efforts.

Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)

Experience in risk and credit score domains preferred.

Job location  Chennai/Bangalore (work from office-Hybrid)

🔹 Role: Python Engineer – Python & MLOps

📍 Location: Bellandur, Bangalore

🕐 Work Timings: 01:30 PM – 10:30 PM

🏢 Work Mode: Monday (WFH), Tuesday–Friday (WFO)

📅 Experience: 8-12 Years (Ideal: 8-10 Years)

🔹 Role Overview

This role focuses on building and maintaining a production-grade AI/ML platform. You will work on scalable Python systems, MLOps pipelines, APIs, and CI/CD workflows in an enterprise environment.

🔹 Key Responsibilities

✔ Develop production-grade Python applications using OOP principles

✔ Build and enhance MLOps pipelines (training, validation, deployment)

✔ Design and optimize REST APIs with OpenAI/Swagger

✔ Implement async programming for high-performance systems

✔ Work on CI/CD pipelines (Azure Pipelines / GitHub Actions)

✔ Ensure clean, testable, and maintainable code (PyTest, TDD)

🔹 Required Skills

✔ Strong Python (OOP, modular design)

✔ MLOps & CI/CD pipeline experience

✔ REST API development

✔ Async programming (async/await, concurrency)

✔ Pandas / Polars & Scikit-learn

✔ JSON Schema–driven development

✔ Testing using PyTest

🔹 Nice to Have

➕ Azure ML SDK

➕ Pydantic

➕ Azure Cosmos DB

➕ Experience with large enterprise platforms

Direct Response Copywriter:

The Direct Response Copywriter is responsible for creating compelling and effective copy for B2B SaaS-based marketing campaigns. This includes crafting email and social media copy, as well as writing landing page copy and other promotional materials. The ideal candidate will have experience writing direct response copy and a proven track record of increasing conversion rates. The Direct Response Copywriter will work closely with the marketing team to develop and implement successful campaigns.

Conversion Copywriter:

The Conversion Copywriter is responsible for writing persuasive and compelling copy that converts website visitors into customers. This includes writing copy for landing pages, product pages, and other key conversion points on the website. The ideal candidate will have experience in conversion copywriting and a deep understanding of B2B SaaS-based industries. The Conversion Copywriter will work closely with the marketing and sales teams to develop and implement effective conversion strategies.

Thought Leadership Copywriter:

The Thought Leadership Copywriter is responsible for creating engaging and informative content that positions the company as a thought leader in the B2B SaaS industry. This includes writing blog posts, articles, white papers, and other long-form content. The ideal candidate will have experience writing thought leadership content and a deep understanding of B2B SaaS-based industries. The Thought Leadership Copywriter will work closely with the marketing and sales teams to develop and implement a content marketing strategy.

• Timely execution of tasks
• Work closely with the other teams to ensure proper TAT for course activities
• Focus on Student satisfaction.
• Have a student-first approach with focus on helping students build a successful career in digital
• Student Enrollment for DigiGrad Programs and Courses
• eLearning Dashboard
• Management of courses in coordination with the team and trainers
• Content creation for various aspects of the program
• Work closely with the Corporate Partnerships team to facilitate the placement of students

• Graduation or Masters in any domain
• Freshers or less than 1 years work experience

• Good organization skills
• Ability to manage different tasks
• Posses team-management and coordination skills
• Ability to multitask, prioritize and manage time effectively
• Self-motivated, a good communicator with a collaborative working style
• Ability to handle tight deadlines
• Patient and able to handle grievances and doubts by students

• Cold Calling
• Consulting Students and Guiding them to  the suitable course
• Helping students find the path to their passion

1. Vendor Management :: On-boarding & Payments
2. MIS Reporting & Presentation
3. Work closely with tech team, participating in the tech discussion regarding features feasibility as per technology
4. Work with teams like Customer Service, inside sales, Operations etc. to improve our customer retention, identify avenues for cross-selling/up-selling at a product level.
5. Product research, competitive analysis, positioning and packaging of the product 
6. Work closely with business, technology, operations, sales, marketing teams to gather the product requirements and build the final version and structure of the product vision. 
7. Define the product roadmap, release models and delivery the same. 
8. Responsible for sourcing, identifying and generation of new ideas, based on internal intelligence, user behavioral trends, market analysis and revenue maximization. 
9. Preparation of the product note/policies as per the guidelines and benchmarking the product features with the peers. 
10. Successful launch of the new product, versions, enhancements, in line with the cost, scope, quality and schedule