Quantiphi

Full-stack Engineer

• Design, develop, and maintain full-stack applications with a focus on performance, scalability, and security
• Build responsive front-end interfaces using JavaScript and modern frameworks such as React or Angular
• Develop robust backend services primarily in Java (11 & 17) and Spring MVC
• Design and optimize relational databases using tools such as SQL Developer and platforms like SQL Server, MySQL, or PostgreSQL
• Build and integrate RESTful APIs to enable seamless communication
• Work in cloud environments—ideally Azure—to deploy and manage scalable applications
• Collaborate with UX/UI designers, product managers, and fellow engineers to align on business needs and user experience goals
• Lead by example in code quality through code reviews, mentoring, and best practice enforcement
• Support CI/CD processes and ensure application reliability through automated testing and secure coding practices

Senior Software Developer

Machine Learning Engineer

• Lead the end-to-end process of churn analysis, from data extraction and cleaning to model development and deployment.
• Develop and implement advanced statistical and machine learning models (e.g., survival analysis, classification models, time-series analysis) to predict customer churn with high accuracy.
• Identify and analyze key churn indicators, patterns, and segments across various customer touchpoints and product usage data.
• Conduct deep-dive analyses to uncover root causes of churn and identify actionable insights.
• Translate analytical insights into concrete, data-driven retention strategies and actionable recommendations for product, marketing, sales, and customer success teams.
• Design, implement, and analyze A/B tests and experiments for various retention initiatives (e.g., personalized communications, feature adoption campaigns, win-back programs).
• Develop and maintain comprehensive dashboards and reports to track key churn and retention metrics, providing clear visibility into performance and trends.
• Communicate complex analytical findings and strategic recommendations clearly and concisely to both technical and non-technical audiences through compelling data visualizations and presentations.
• Partner closely with Business owners and Product Managers to identify product-led retention opportunities and inform roadmap decisions.

Junior Machine Learning Engineer

Sales

• Drive Revenue & Market Dominance
• Spearhead high-impact sales campaigns targeting Fortune 2000 Manufacturing clients with multi-million dollar deal potential
• Build and monetize C-suite relationships that unlock enterprise-wide transformation opportunities and recurring revenue streams
• Establish yourself as THE Manufacturing AWS authority - the first call executives make when planning digital transformation initiatives
• Guide clients through game-changing AI and data modernization journeys that deliver measurable ROI and competitive advantage
• Navigate complex regulatory landscapes to position Quantiphi as the trusted compliance partner
• Maximize Pipeline Value & Accelerate Deals
• Own the global Manufacturing pipeline - strategically balance quick wins with transformational long-term contracts across multiple regions
• Master the art of expansion selling - turn every delivery success into cross-sell and up-sell goldmines
• Orchestrate seamless sales-to-delivery handoffs that exceed client expectations and fuel referral engines
• Architect Million-Dollar Solutions
• Design bespoke AI-powered solutions that solve critical Manufacturing challenges and command premium pricing
• Control the entire engagement lifecycle from SOW crafting to delivery oversight, ensuring client satisfaction drives contract renewals
• Leverage Ecosystem Power
• Partner strategically with AWS Business Unit Leadership to unlock exclusive opportunities and co-selling advantages
• Mobilize Quantiphi's global expertise to deliver world-class outcomes that become case studies for future sales
• Deliver Transformational Business Impact
• Drive digital transformation initiatives that revolutionize Manufacturing operations through cutting-edge AI technologies
• Create measurable business value that justifies investment and positions Quantiphi for long-term strategic partnerships

Sales Leader – Manufacturing

• Drive Revenue & Market Dominance
• Spearhead high-impact sales campaigns targeting Fortune 2000 CPG clients with multi-million dollar deal potential.
• Build and monetize C-suite relationships that unlock enterprise-wide transformation opportunities and recurring revenue streams.
• Establish yourself as THE CPG AWS authority - the first call executives make when planning digital transformation initiatives.
• Guide clients through game-changing AI and data modernization journeys that deliver measurable ROI and competitive advantage.
• Navigate complex regulatory landscapes to position Quantiphi as the trusted compliance partner.
• Own the global CPG pipeline - strategically balance quick wins with transformational long-term contracts across multiple regions.
• Master the art of expansion selling - turn every delivery success into cross-sell and up-sell goldmines.
• Orchestrate seamless sales-to-delivery handoffs that exceed client expectations and fuel referral engines.
• Design bespoke AI-powered solutions that solve critical CPG challenges and command premium pricing.
• Control the entire engagement lifecycle from SOW crafting to delivery oversight, ensuring client satisfaction drives contract renewals.
• Partner strategically with AWS Business Unit Leadership to unlock exclusive opportunities and co-selling advantages.
• Mobilize Quantiphi's global expertise to deliver world-class outcomes that become case studies for future sales.
• Drive digital transformation initiatives that revolutionize CPG operations through cutting-edge AI technologies.
• Create measurable business value that justifies investment and positions Quantiphi for long-term strategic partnerships.

Sales Leader – AWS CPG

• Drive Revenue & Market Dominance
• Spearhead high-impact sales campaigns targeting Fortune 2000 Media & Entertainment clients with multi-million dollar deal potential
• Build and monetize C-suite relationships that unlock enterprise-wide transformation opportunities and recurring revenue streams
• Establish yourself as THE Media & Entertainment AWS authority - the first call executives make when planning digital transformation initiatives
• Guide clients through game-changing AI and data modernization journeys that deliver measurable ROI and competitive advantage
• Navigate complex regulatory landscapes to position Quantiphi as the trusted compliance partner
• Own the global Media & Entertainment pipeline - strategically balance quick wins with transformational long-term contracts across multiple regions
• Design bespoke AI-powered solutions that solve critical Media & Entertainment challenges and command premium pricing
• Control the entire engagement lifecycle from SOW crafting to delivery oversight, ensuring client satisfaction drives contract renewals
• Mobilize Quantiphi's global expertise to deliver world-class outcomes that become case studies for future sales

Sales Leader – Media & Entertainment

• Drive Revenue & Market Dominance
• Spearhead high-impact sales campaigns targeting Fortune 2000 Bio/Life Science clients with multi-million dollar deal potential
• Build and monetize C-suite relationships that unlock enterprise-wide transformation opportunities and recurring revenue streams
• Position As The “Go-To AI” Transformation Expert
• Establish yourself as THE Bio/Life Science AWS authority - the first call executives make when planning digital transformation initiatives
• Guide clients through game-changing AI and data modernization journeys that deliver measurable ROI and competitive advantage
• Navigate complex regulatory landscapes to position Quantiphi as the trusted compliance partner
• Maximize Pipeline Value & Accelerate Deals
• Own the global Bio/Life Science pipeline - strategically balance quick wins with transformational long-term contracts across multiple regions
• Master the art of expansion selling - turn every delivery success into cross-sell and up-sell goldmines
• Orchestrate seamless sales-to-delivery handoffs that exceed client expectations and fuel referral engines
• Architect Million-Dollar Solutions
• Design bespoke AI-powered solutions that solve critical Bio/Life Science challenges and command premium pricing
• Control the entire engagement lifecycle from SOW crafting to delivery oversight, ensuring client satisfaction drives contract renewals
• Leverage Ecosystem Power
• Partner strategically with AWS Business Unit Leadership to unlock exclusive opportunities and co-selling advantages
• Mobilize Quantiphi's global expertise to deliver world-class outcomes that become case studies for future sales
• Deliver Transformational Business Impact
• Drive digital transformation initiatives that revolutionize Bio/Life Science operations through cutting-edge AI technologies
• Create measurable business value that justifies investment and positions Quantiphi for long-term strategic partnerships

Sales Leaders – Bio/Life Science

Backend Engineer

• Lead the delivery of advanced solutions in Application Development, Platform Engineering, Data Engineering, Analytics, and Machine Learning for clients.
• Enable clients to leverage the full potential of AWS cloud capabilities.
• Collaborate with cross-functional teams on cloud migration projects.
• Troubleshoot issues during migration processes.

Technical Architect – Platform, Migration Specialist

SDET

• Lead the design, development, and implementation of automated test frameworks
• Collaborate with software developers, quality assurance engineers, and other stakeholders
• Mentor and coach junior members of the test automation team
• Work with API testing tools such as Jmeter, Postman etc
• Evaluate and select appropriate tools and technologies for test automation
• Create and maintain automated test scripts for web, mobile, and API-based applications
• Involvement in Manual Testing activities
• Conduct code reviews and provide feedback
• Analyze test results and collaborate with cross-functional teams
• Develop and maintain test documentation

Senior Test Automation Engineer

Platform Engineer

• Orchestrating LLM Workflows & Development: Design, implement, and scale the underlying platform that supports GenAI workloads, be it for real-time or batch. The workloads can also vary from fine-tuning/distilling to inference.
• LLMOps (LLM Operations): Build and manage operational pipelines for training, fine-tuning, and deploying LLMs such as Llama, Mistral etc, GPT-3/4, BERT, or similar. Ensure smooth integration of these models into production systems.
• GPU Optimization: Optimize GPU utilization and resource management for AI workloads, ensuring efficient scaling, low latency, and high throughput in model training and inference. Develop techniques to manage multi-GPU systems for high-performance computation. Have clarity on LLM parallelization techniques as well as other inference optimization techniques.
• Infrastructure Design & Automation: Design, deploy, and automate scalable, secure, and cost-effective infrastructure for training and running AI models. Work with cloud providers (AWS, GCP, Azure) to provision the necessary resources, implement auto-scaling, and manage distributed training environments.
• Platform Reliability & Monitoring: Implement robust monitoring systems to track the performance, health, and efficiency of deployed AI models and workflows. Troubleshoot issues in real-time and optimize system performance for seamless operations. Transferable knowledge from traditional software monitoring in production is fine. Monitoring knowledge of ML/GenAI workloads is preferred.
• Maintain Knowledge Base: Good knowledge of database concepts ranging from performance tuning, RBAC, shading, along with exposure to different types of databases from relational to object & vector databases is preferred.
• Collaboration with AI/ML Teams: Work closely with data scientists, machine learning engineers, and product teams to understand and support their platform requirements, ensuring the infrastructure is capable of meeting the needs of AI model deployment and experimentation.
• Security & Compliance: Ensure that platform infrastructure is secure, compliant with organizational policies, and follows best practices for managing sensitive data and AI model deployment.