Senior Software Developer

Posted 2 Days Ago
Be an Early Applicant
3 Locations
In-Office
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Role
Build interactive dashboards and reporting for an R&D ROI attribution POC, translate model outputs into actionable insights, design and implement APIs/microservices for model deployment, collaborate with ML engineers, ensure performant user experiences, and implement unit, integration, and end-to-end tests. Deploy applications on cloud platforms and use modern front-end frameworks for visualization.
Summary Generated by Built In

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Job Description

Role: Senior Software Developer

Experience Level: 4+ Years

Work location: Mumbai, Bangalore and Trivandrum(Hybrid)

Notice Period: 0-15 days

1. Overview:

The Software Developer will be responsible for building the interactive visualization and reporting layer for the R&D ROI attribution POC, translating complex model outputs into clear, actionable insights for stakeholders. This role will also contribute to developing robust APIs or services for model deployment and integration, ensuring a seamless user experience and demonstrating the solution's potential for operationalization.

2. Key Requirements:

  • Expert proficiency in Python.

  • Strong experience with web frameworks for backend APIs (e.g., Flask, FastAPI, Django) and interactive dashboards (e.g., Streamlit, Dash, Plotly).

  • Proficiency in data visualization libraries (e.g., Matplotlib, Seaborn, Plotly).

  • Solid understanding of RESTful API design principles.

  • Experience with testing tools for front-end and backend components (e.g., pytest, unittest, Selenium, Cypress).

  • Familiarity with deploying web applications/APIs on cloud platforms (GCP, AWS, or Azure).

  • Strong command of Git for version control.

  • Develop and implement the interactive POC dashboard to visualize R&D ROI attribution, counterfactuals, and model explanations.

  • Design and build APIs or microservices to expose model predictions and insights, facilitating integration with potential future client systems.

  • Collaborate with ML Engineers to understand model outputs and design intuitive user interfaces that effectively communicate causal impacts.

  • Ensure the dashboard and any developed services are performant, responsive, and user-friendly, providing a compelling demonstration of the solution.

  • Implement robust testing strategies for front-end components and API endpoints, including unit tests for UI components, integration tests for API interactions, and end-to-end tests for user flows.

  • Experience with JavaScript and modern front-end frameworks (React, Angular, Vue.js).

3. Good to Have:

  • Familiarity with BI tools like Tableau or Power BI.

  • Knowledge of UI/UX design principles.

4. Soft Skills:

  • User-Centric Design: Strong focus on creating intuitive and effective user interfaces.

  • Communication: Ability to translate technical concepts into clear visual representations and explain them to non-technical users.

  • Attention to Detail: Meticulous in ensuring data accuracy and visual clarity in dashboards.

  • Problem-Solving: Creative approach to presenting complex data and model outputs.

  • Collaboration: Works closely with ML Engineers and client stakeholders to gather requirements and iterate on dashboard design.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Skills Required

  • 4+ years experience in software development
  • Expert proficiency in Python
  • Experience with backend web frameworks (Flask, FastAPI, Django)
  • Experience with interactive dashboards (Streamlit, Dash, Plotly)
  • Proficiency in data visualization libraries (Matplotlib, Seaborn, Plotly)
  • Solid understanding of RESTful API design principles
  • Experience with testing tools for front-end and backend (pytest, unittest, Selenium, Cypress)
  • Familiarity with deploying web applications/APIs on cloud platforms (GCP, AWS, Azure)
  • Strong command of Git for version control
  • Experience with JavaScript and modern front-end frameworks (React, Angular, Vue.js)
  • User-centric design focus and ability to create intuitive UIs
  • Communication skills to translate technical concepts for non-technical stakeholders
  • Attention to detail and strong problem-solving skills
  • Experience collaborating with ML Engineers and client stakeholders
  • Familiarity with BI tools like Tableau or Power BI
  • Knowledge of UI/UX design principles

Quantiphi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.

  • Flexible Benefits Hybrid and work-from-home options are commonly available and perceived as meaningful perks that increase overall package value. Flexibility by team and role often enhances day-to-day experience even when cash pay is not top-tier.
  • Healthcare Strength U.S. materials indicate medical coverage that includes dental and vision, and employee accounts align with having these plans in place. The presence of core health benefits contributes to a baseline of security across key locations.
  • Parental & Family Support Paid parental leave is available in the U.S., with examples citing generous leave lengths. Family-focused policies appear alongside other flexibility features.

Quantiphi Insights

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The Company
HQ: Marlborough, MA
3,494 Employees
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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