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🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)

Experience: 4–8 Years

Location: Bengaluru (On-site / Hybrid)

Company: Publicly Listed, Global Product Platform

🧠 About the Mission

We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.

This is not incremental improvement.

This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.

We are re-architecting:

• Legacy systems → AI-native architectures
• Static pipelines → autonomous, self-healing systems
• Data platforms → intelligent, learning systems
• Software workflows → agentic execution layers

This is the kind of shift you would expect from companies like Google or Microsoft —

Except here, you will build it from day zero and scale it globally.

🧠 The Opportunity: This role sits at the intersection of three high-impact domains:

1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI

2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines

3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure

We are building systems where:

• Data platforms optimize themselves using ML/LLMs
• Pipelines are autonomous, self-healing, and adaptive
• Queries are generated, optimized, and executed intelligently
• Infrastructure learns from usage and evolves continuously

This is: AI as the control plane for data infrastructure

🧩 What You’ll Work On

You will design and build AI-native systems deeply embedded inside data infrastructure.

1. AI-Native Data Platforms

• Build LLM-powered interfaces:
• Natural language → SQL / pipelines / transformations
• Design semantic data layers:
• Embeddings, vector search, knowledge graphs
• Develop AI copilots:
• For data engineers, analysts, and platform users

2. Autonomous Data Pipelines

• Build self-healing ETL/ELT systems using AI agents
• Create pipelines that:
• Detect anomalies in real time
• Automatically debug failures
• Dynamically optimize transformations

3. Intelligent Query & Compute Optimization

• Apply ML/LLMs to:
• Query planning and execution
• Cost-based optimization using learned models
• Workload prediction and scheduling
• Build systems that:
• Learn from query patterns
• Continuously improve performance and cost efficiency

4. Distributed Data + AI Infrastructure

• Architect systems operating at:
• Billions of events per day
• Petabyte-scale data
• Work with:
• Distributed compute engines (Spark / Flink / Ray class systems)
• Streaming systems (Kafka-class infra)
• Vector databases and hybrid retrieval systems

5. Learning Systems & Feedback Loops

• Build closed-loop AI systems:
• Execution → feedback → model updates
• Develop:
• Continual learning pipelines
• Online learning systems for infra optimization
• Experimentation frameworks (A/B, bandits, eval pipelines)

6. LLM & Agentic Systems (Infra-Aware)

• Build agents that understand data systems
• Enable:
• Autonomous pipeline debugging
• Root cause analysis for infra failures
• Intelligent orchestration of data workflows

🧠 What We’re Looking For

Core Foundations

• Strong grounding in:
• Machine Learning, Deep Learning, NLP
• Statistics, optimization, probabilistic systems
• Distributed systems fundamentals
• Deep understanding of:
• Transformer architectures
• Modern LLM ecosystems

Hands-On Expertise

• Experience building:
• LLM / GenAI systems (RAG, fine-tuning, embeddings)
• Data platforms (warehouse, lake, lakehouse architectures)
• Distributed pipelines and compute systems
• Strong programming skills:
• Python (ML/AI stack)
• SQL (deep understanding — query planning, optimization mindset)

Systems Thinking (Critical)

You think in systems, not components.

• Built or worked on:
• Large-scale data pipelines
• High-throughput distributed systems
• Low-latency, high-concurrency architectures
• Understand:
• Query optimization and execution
• Data partitioning, indexing, caching
• Trade-offs in distributed systems

🔥 What Sets You Apart (Top 1%)

• Built AI-powered data platforms or infra systems in production
• Designed or contributed to:
• Query engines / optimizers
• Data observability / lineage systems
• AI-driven infra or AIOps platforms
• Experience with:
• Multi-modal AI (logs, metrics, traces, text)
• Agentic AI systems
• Autonomous infrastructure
• Worked on systems at scale comparable to:
• Google (BigQuery-like systems)
• Meta (real-time analytics infra)
• Snowflake / Databricks (lakehouse architectures)

🧬 Ideal Background (Not Mandatory)

We often see strong candidates from:

• Data infrastructure or platform engineering teams
• AI-first startups or research-driven environments
• High-scale product companies

Experience building:

• Internal platforms used by 1000s of engineers
• Systems serving millions of users / high throughput workloads
• Multi-region, distributed cloud systems

🧠 The Kind of Problems You’ll Solve

• Can LLMs replace traditional query optimizers?
• How do we build self-healing data pipelines at scale?
• Can data systems learn from every query and improve automatically?
• How do we embed reasoning and planning into infrastructure layers?
• What does a fully autonomous data platform look like?

Background: We Commonly See (But Not Limited To)

Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:

• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

Looking for technically skilled candidates with excellent interpersonal skills for the technical support position. Technical support officers troubleshoot technical issues, provide timely customer feedback, and support the roll-out of new applications, among other duties.

Moreover, technical support officers need to talk to customers directly, as well as create written documentation, requiring excellent written and verbal communication.

Responsibilities:

• Identifying hardware and software solutions.
• Troubleshooting technical issues.
• Diagnosing and repairing faults.
• Resolving network issues.
• Installing and configuring hardware and software.
• Speaking to customers to quickly get to the root of their problem.
• Providing timely and accurate customer feedback.
• Talking customers through a series of actions to resolve a problem.
• Following up with clients to ensure the problem is resolved.
• Replacing or repairing the necessary parts.
• Supporting the roll-out of new applications.
• Providing support in the form of procedural documentation.
• Managing multiple cases at one time.
• Testing and evaluating new technologies.
• Conducting electrical safety checks on equipment.

Requirements:

• Degree in computer science or information technology.
• Certification in Microsoft, Linux, or Cisco is advantageous.
• Prior experience in tech support, desktop support, or a similar role.
• Proficiency in Windows/Linux/Mac OS.
• Experience with remote desktop applications and help desk software.
• Attention to detail and good problem-solving skills.
• Excellent interpersonal skills.
• Good written and verbal communication.

As a Customer Support Specialist, you will play a crucial role in ensuring customer satisfaction and loyalty. Your primary responsibilities will include responding to customer inquiries, troubleshooting issues, and providing timely solutions across various communication channels, including phone, email, and chat.

Role & responsibilities:

• Good Computer Skills

• Candidates must have good communication skills

• Must be a Graduate

• Willing to work in night shift (UK or US)

• Able to work in Order Processing & Customer Service (both Chat & Calling).

Responsibilities: 

1.                  Lead the strategic planning, development, and launch of Azure integration capabilities within our flagship product ensuring a seamless and efficient integration process. 

2.                  Conduct market research and engage with customers to understand their needs and challenges related to Azure cloud services. 

3.                  Collaborate with engineering, design, and sales teams to define product requirements, roadmaps, and go-to-market strategies for Azure Launch. 

4.                  Deliver actionable product feature requirements and stories with wireframes (hands-on work is required here) 

5.                  Drive feature delivery to customers and conduct feedback loop based improvements. 

6.                  Stay abreast of Azure services and cloud industry trends to ensure our product remains competitive and innovative. 

Required Experience and Skills: 

·                    Bachelor's degree in computer science, Engineering, Business, or a related field. A master's degree or an MBA would be a plus. 

·                    4+ years of experience in a product management role, ideally in a cloud-based product environment. 

·                    Strong understanding of Azure services, cloud computing technologies, and SaaS platforms. 

·                    Experience building features/ solutions in Cloud Management/Cloud Operations in FinOps, SecOps, Cloud IT Ops. 

·                    Experience with Azure Migration, Azure CloudOps configuration, Managed Services is a plus 

·                    Passion for Automation and simplification of complex IT processes 

·                    Proven track record of managing all aspects of a successful product throughout its lifecycle. 

·                    Excellent communication, leadership, and interpersonal skills. 

·                    Ability to work in a fast-paced, dynamic environment and handle multiple tasks simultaneously. 

·                    Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic startup environment. 

·                    Excellent written and verbal communication skills, with experience in creating customer-facing technical documentation such as user guides and release notes. 

·                    Comfortable with ambiguity and able to prioritize tasks in a rapidly changing environment. 

·                    Demonstrated success in defining and launching products would be a plus. 

Success Factors: 

·                    You bring curiosity and passion for continuous learning. 

·                    You enjoy ideating, simplifying and solving problems that create value for customers. 

·                    You have an entrepreneurial mindset. 

·                    You bring a growth mindset and value collaborative approach to growing others and yourself. 

·                    You have an ownership mindset to areas you take on, and you are a self-starter that can work independently when needed. 

1. SEO-Friendly Blog Writing;
2. Caption Writing; 
3. Content Writing for Social Media Posts;
4. Content Writing for Reels and Videos
5. Other Allied Works

●Being a mentor and guide, who potential learners can look up to for career advice. ● Counselling potential learners, helping them plan their career path and understanding how upGrad can catalyse their career. ●Carrying weekly enrolment/revenue and collection targets. ●Establishing the uniqueness and effectiveness of upGrad's model of online/blended learning. ● Owning the complete sales closing life cycle for leads assigned to you. This includes making phone/video calls, product demonstration, sales closing and post-sales relationship management. ● Maintaining a detailed database of all the interactions on the CRM with the leads and providing constant feedback to the marketing team on lead quality. What are we looking for? ● Individual with outstanding English communication skills (written and verbal), interpersonal and presentation skills. ● Hardworking Individuals with high dedication and extreme determination.∙ Experience in EdTech sales would be an advantage. ●Rockstar sales performers with proven track records. 

We are looking for candidates who are smart and ambitious. The ideal candidate will have experience in all stages of the sales cycle. They should be confident with building new client relationships and maintaining existing ones. There will be Performance based incentives for those who are self driven and motivated to achieve results and grow with us.

 Qualifications

• Bachelor's degree 3+ years in Business, Sales, Marketing or Technology

• Minimum of 6 months - 2 year+ experience in sales, business development or similar role

• Experience in full sales cycle including deal closing

• Demonstrated sales success

• Strong negotiation skills

• Strong written and verbal communication and presentation skills

• Proficient in working on excel, powerpoint, googlesheets

• Knowledge of generating leads through LinkedIn, Twitter and others

• Experience in international sale and IT services would be preferred

Responsibilities

• Build relationships with prospective clients

• Oversee the sales process to attract new clients. 

• Work with senior team members to identify and manage risks

• Research and identify new market opportunities

• Attending networking events to attract and retain clients

• Developing and executing sales and marketing strategies to grow business

• Prepare and deliver pitches to potential investors

• Analyze market and establish competitive advantages

• Track metrics to ensure targets are hit

• Foster a collaborative environment within the organisation

Summary
 

Genesys is looking for an experienced Salesforce CPQ developer with strong experience in Salesforce CPQ, billing, and platform related technologies. This role is responsible for providing overall mentorship regarding strategies and techniques for the CPQ and billing product solutions. Will be working closely with Business and IT Go-To-Market team members to detail and ensure product solutions support business needs, follow strong best practice principles, use system resources efficiently and integrate cleanly with the UI and server components of Salesforce CPQ. The candidate is expected to have solid experience in implementing new Salesforce CPQ and billing solutions and migrating from legacy CPQ solutions to Salesforce CPQ & billing. The candidate will be customer focused, highly collaborative and constantly seek input to ensure success. The candidate should be ready to get their hands dirty and jump in and troubleshoot/modify CPQ configurations, write code/troubleshoot if necessary (Apex, Visualforce, Lightning Components, front end web technologies & data migration).

Responsibilities

• Technical design and implementation of Quote to Cash solutions using Salesforce CPQ and billing
• Create proof of concepts (POCs) and build prototypes quickly to evaluate the mapping of custom CPQ functionality to Salesforce CPQ
• Design technical solutions that span multiple Salesforce Clouds (Sales, Service, Marketing, Analytics, Social, Communities) that meet business requirements
• Be recognized as a technical & functional specialist in CPQ and Billing
• Optimization of solutions through an understanding of business needs and technology capabilities
• Pro-actively identify opportunities for automation, process & design improvements
• Serve as a solution technical lead to ensure deliverables for Salesforce.com projects are done in line with best practices and strategic platform direction
• Individual contributor with comprehensive knowledge of the Salesforce platform, including technical and functional capabilities; ability to execute on highly complex or specialized projects.
• Oversight of multiple vendors involved with Salesforce configuration and development work
• Participate in the development of best practices, strategies, and policies around data governance, including master data management, metadata management, data quality and data profiling
• Communicate and work effectively with cross functional teams including business teams, product teams, global IT Apps teams, consultants & vendors
• Document as-is and participate on code review. Present complex solutions options and benefits to key technical program stakeholders.
• Collaborate with Salesforce architect to ensure Salesforce development teams follow best practices when programming or documenting solutions.
• Maintain up-to-date knowledge of a broad range of emerging technology trends and identifies opportunities where technology might be deployed to deliver business improvements and competitive advantage.

Required Qualifications:

• Bachelor's degree required in Computer Science, Software Engineering, Technology, or in a related field
• 4 + years of Experience in solutioning and designing full stack solutions using Salesforce Platform
• 1 + years of Experience in solutioning and designing Salesforce CPQ and Billing solutions
• 1 + years of Experience in designing and developing solutions on Salesforce Lightning Platform 
• 1 + full cycle implementations of Salesforce CPQ and billing solutions including ownership of technical solution design
• Extensive knowledge of product configuration, complex pricing rules & sequence, quote configurator plugins & Salesforce CPQ APIs
• Proficiency in various CPQ functionalities like perpetual and subscription-based licensing, seasonal licensing, amendments, extensions, co-terming and renewals
• Solid experience in data migration strategy, tools and processes to migrate data between custom CPQ and billing systems to Salesforce CPQ and billing
• Experience with quote document generation and integration with DocuSign
• Strong understanding of environment management, release management, code versioning best practices, and deployment methodologies

Preferred Qualifications:

• Salesforce Certified Administrator
• Salesforce Certified Sales Cloud Consultant and Salesforce Certified Service Cloud Consultant
• Salesforce Platform Developer Certifications
• Salesforce Certified CPQ Specialist

Covid-19

Safety for our employees and our communities is a key priority for Genesys. We continue to experience rapid growth during the Covid-19 pandemic and are conducting remote hiring and onboarding processes. All hiring and onboarding processes are being conducted remotely at this time. We utilize Zoom video meetings and phone calls during the interview process. We will be working remotely through at least December 31, 2021, in most locations, and we are re-evaluating the opening date of all the Genesys offices on an ongoing basis. 

About Genesys:

Every year, Genesys® orchestrates more than 70 billion remarkable customer experiences for organizations in more than 100 countries. Through the power of our cloud, digital and AI technologies, organizations can realize Experience as a Service℠, our vision for empathetic customer experiences at scale. With Genesys, organizations have the power to deliver proactive, predictive, and hyper personalized experiences to deepen their customer connection across every marketing, sales, and service moment on any channel, while also improving employee productivity and engagement. By transforming back-office technology to a modern revenue velocity engine Genesys enables true intimacy at scale to foster customer trust and loyalty. Visit http://www.genesys.com/">www.genesys.com.

Genesys is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.