Azure Senior Data Engineer

About the Role

We are looking for a passionate AI/ML Software Engineer to join our product team and help build intelligent, scalable, and production-ready machine learning solutions. You will work closely with product managers, designers, and backend engineers to integrate AI capabilities into core product features and drive data-driven innovation.

Key Responsibilities

• Design, develop, and deploy machine learning models into production environments
• Build and maintain scalable ML pipelines for data processing, training, and inference
• Collaborate with cross-functional teams to identify AI-driven product opportunities
• Translate business requirements into ML solutions and technical implementations
• Optimize model performance, accuracy, and latency for real-time applications
• Integrate AI/ML models with APIs and backend systems
• Monitor model performance and implement continuous improvement strategies
• Ensure best practices in data handling, model versioning, and reproducibility
• Stay updated with the latest advancements in AI/ML and apply them to product innovation

Required Skills & Qualifications

• Bachelor’s engineering degree in Computer Science, AI, Data Science, or related field
• Strong programming skills in Python (experience with Java/Go is a plus)
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of machine learning algorithms and statistical concepts
• Experience in building and deploying ML models in production
• Familiarity with REST APIs, microservices architecture, and cloud platforms (AWS/GCP/Azure)
• Experience with data processing tools (Pandas, NumPy, Spark, etc.)
• Knowledge of version control systems like Git 

What We Do

FlytBase builds the world's leading Physical AI drone autonomy platform, powering mission-critical operations across 300+ enterprise sites in 40+ countries. Its customers include Fortune 500 leaders such as Shell, CSX, UK Police, Airbus, Anglo American, Dole and Statnett. Explore some of our key deployments here - flytbase.com/case-studies.

With a presence in the US and Pune, India, FlytBase is building the nervous system for large industrial sites. The company operates at AI speed, with autonomy and intelligence at its core. Our lean team thrives in a high-agency, high-velocity environment where AI is not a side project, it is the operating system for how we think, build, and grow.

The Role

You're not just booking meetings—you're the first commercial touchpoint for Fortune 500 prospects making their first investment in autonomous site intelligence. You'll qualify inbound leads, run outbound campaigns, and here's the key difference: you'll close deals yourself when they don't need Senior AE involvement.

This is Physical AI sales—autonomous drones that inspect energy sites, mines, and infrastructure 24/7—and you're educating executives who are defining how they think about the category. You'll work across Americas, Europe, and MEAA time zones from our Pune office, using AI tools to make 200 outbound touches feel like 200 handwritten notes.

Top performers own their own region within 12–18 months. We expect you to get there.

What You'll Own

• Pipeline generation: Qualify every inbound lead from website, events, partner referrals—you decide what's real and what's noise

• Outbound prospecting: Target named accounts via email, phone, LinkedIn with focus on competitive displacement and whitespace expansion

• Deal closure: Own and close deals end-to-end when they don't require Senior AE involvement—discovery, demo coordination, proposal, signature

• Marketing partnership: Work with demand gen on campaigns, target lists, event follow-up, and messaging that converts

• Quality handoffs: When routing larger opportunities, deliver buyer context, timeline, budget signals, decision process intel

• Market intelligence: Feed real-time insights on objections, competitor sightings, messaging performance back to product and positioning teams

• AI-powered workflows: Use prospect research, signal detection, and personalized outreach automation to scale your impact

• Regional alignment: Cover your assigned geography's working hours while based in Pune

Best Suited For

• 1–3 years in inside sales, SDR, or early closing roles in B2B SaaS or technical products—you've closed deals yourself, not just qualified them • Strong written and verbal English with ability to hold technical conversations past the first objection

• Experience with outbound tools: Apollo, Clay, LinkedIn Sales Navigator, email sequencing platforms—you can build target lists and run campaigns

• AI-native approach: Already using AI for prospect research, sequence personalization, workflow automation as daily operating system

• Metrics-driven mindset: Comfortable with quota, pipeline targets, conversion tracking—you optimize for outcomes, not activities

• Coachable and relentless: You take feedback, iterate quickly, and don't need scripts to make calls

• Hungry for growth: You see this as a launchpad to owning a region and carrying enterprise quota within 18 months

What Makes You a Flyter

• Ownership without handoffs: You don't just book meetings—you close deals and own outcomes from first touch to signature

• Quality over quantity: You'd rather send 50 researched, personalized outreaches than 500 generic templates

• AI as operating system: You use AI tools to scale personalization, not to automate away the human connection

• Market curiosity: You're genuinely interested in how Fortune 500 companies think about autonomous site operations—it's not just another product to sell

• Growth hungry: You see BDR as a stepping stone, not a destination—you want to own territory and build your own pipeline machine

What We Don't Want

• Meeting bookers who optimize for quantity over quality—if you measure success by dials made rather than pipeline created, this isn't for you • Script-dependent reps who can't hold technical conversations or handle objections without calling for backup

• "That's not my job" mindset—we expect you to own pipeline, close deals, and shape GTM strategy, not just execute tasks

• People treating AI as a novelty rather than a core workflow tool—you should already be using it daily, not learning it here

• Reps who want to set meetings and disappear—you'll own deals through close and feed market intelligence back to the team

Why FlytBase?

• H3 Philosophy: We're building a company that's Happy, Healthy, AND High-Performing. Not as a balance—as a harmony. We move fast without burning out.

• Radical Ownership: You won't need permission to experiment, build, or lead. If you see a problem, you own the solution.

• Mazaa Aayega: Our internal motto. Yes, the work is intense. But it's also deeply meaningful and genuinely fun.

• Systems That Scale: We don't celebrate one-off heroics. We build compounding systems that create leverage.

• In-Person Energy: We work from our Pune office because proximity accelerates everything—ideas, feedback, trust, and impact, but travel globally for customer meetings, tradeshows, and deployments.

The Perks

• High agency team and sense of purpose

• International Travel—we travel to all 6 continents (sorry, no business in Antarctica yet)

• Thought leadership & public speaking opportunities at online & physical events

• No-cap budget for AI tools, courses, or experiments

• Latest tech stack and tools—whatever helps you move faster

• Family Day—Once a year, we transform our office to showcase our work to the people who matter most

• Top-tier health coverage for you • Unlimited leave policy & flexible working hours (no punch-in/out)

• A damn good team to work with

Key Skills

• ServiceNow ITOM
• Discovery
• Service Mapping
• Event Management
• CMDB, IRE, CSDM
• MID Server
• JavaScript, Glide Scripting
• REST/SOAP Integrations
• Flow Designer, Integration Hub
• Dynatrace, Datadog, Splunk
• AWS, Azure, Kubernetes
• Linux, Windows Administration
• SNMP, SSH, WMI
• PowerShell, Bash

Experience

5+ years ServiceNow Development

3+ years ITOM (Discovery, Service Mapping, Event Management)

Mandatory Certifications

CSA (Certified System Administrator)

CAD (Certified Application Developer)

CIS – Discovery

Preferred Certifications

CIS – Service Mapping

CIS – Event Management

• Does analytics to extract insights from raw historical data of the organization. 
• Generates usable training dataset for any/all MV projects with the help of Annotators, if needed.
• Analyses user trends, and identifies their biggest bottlenecks in Hammoq Workflow.
• Tests the short/long term impact of productized MV models on those trends.
• Skills - Numpy, Pandas, SPARK, APACHE SPARK, PYSPARK, ETL mandatory.