Bengaluru, Karnataka, India · On-site
Applied Computing was founded in 2023 to build Orbital, a physics-informed foundation model for energy operations. We’re live across oil and gas, refineries, and petrochemicals, working towards our mission: sustainable a…
Skills: JavaScript, TypeScript, React, Node.js, Python
Bengaluru, Karnataka, India · Hybrid
⚡We are your Energy Technology Partner. We electrify, automate, and digitalize every industry, business, and home, driving efficiency and sustainability for all. At Schneider Electric, our values – IMPACT (Inclusio…
Skills: Data Quality Governance, SQL, Data Engineering, Agile Methodology, Team Management
Bengaluru, Karnataka, India · On-site
Company Description About Sutherland Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise. We work with ic…
Skills: SQL, Data Mining, Data Profiling, Data Validation, Power BI
Bengaluru, Karnataka, India · Hybrid
🚀 Why Headout? We’re a rocketship: 9-figure revenue, record growth, and profitable With $130M in revenue, guests in 100+ cities, and 18 months of profitability, Headout is the fastest-growing marketplace in the travel i…
Skills: Backend Systems, Distributed Architectures, Spring Boot, Kotlin, Java
Bengaluru, Karnataka, India · Hybrid
🚀 Why Headout? We’re a rocketship: 9-figure revenue, record growth, and profitable With $130M in revenue, guests in 100+ cities, and 18 months of profitability, Headout is the fastest-growing marketplace in the travel i…
Skills: Backend Systems, Distributed Architectures, Spring Boot, Kotlin, Java
Bengaluru, Karnataka, India · On-site
Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, g…
Skills: Python, SQL, Spark, Kafka, Airflow
Bengaluru, Karnataka, India · Hybrid
Job Summary: The Senior Manager, AI & Data Engineering leads a team of data engineers, data scientists and AI specialists to deliver scalable, secure, and compliant data solutions that power healthcare SaaS applications.…
Skills: AI/ML Engineering, Data Architecture, Data Engineering, Healthcare Compliance, Team Leadership
Bengaluru, Karnataka, India · Hybrid
Job Title: Assistant Manager Surveillance The Offshore Regulatory Compliance team supports compliance officers across the businesses in carrying out key compliance monitoring, advisory and support activities. The team (T…
Skills: Trade Surveillance, E-Communications Surveillance, Audio Surveillance, Market Abuse Detection, Regulatory Compliance
Bengaluru, Karnataka, India · On-site
As a Cloud Data Engineer, you will design, build, and optimise data warehouses, data lakes, and data marts for large financial institutions. You will work closely with technology and business leads to enhance critical en…
Skills: AWS Glue, AWS Redshift, Snowflake, Informatica, Python
Bengaluru, Karnataka, India · On-site
Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineeri…
Skills: Python, Data Pipeline Development, Data Modeling, Database Schema Design, Data Orchestration
Bengaluru, Karnataka, India · Hybrid
JOB FUNCTION AND RESPONSIBILITIES: Collaborate with business stakeholders to understand data needs and translate them into analytical and reporting requirements.Design, create, and implement new data quality rules aligne…
Skills: SQL, PL/SQL, Python, Machine Learning, Large Language Models
Bengaluru, Karnataka, India · Hybrid
$1548k–$2323k/yr
Our mission at HubSpot is to help millions of organizations grow better. The International Deal Strategy team sits at the intersection of commercial strategy and operational execution. We partner with teams across Sales,…
Skills: Deal Desk, Quote-to-Cash, Revenue Operations, Sales Operations, Commercial Operations
Bengaluru, Karnataka, India · Hybrid
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance t…
Skills: Release Execution, CI/CD, Git, GitHub Actions, Jenkins
Bengaluru, Karnataka, India · Hybrid
Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&…
Skills: Product Management, Machine Learning, SQL, Python, R
Bengaluru, Karnataka, India · On-site
Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, g…
Skills: Zendesk Administration, Zendesk Explore, Agile/Scrum, Jira, Confluence
Bengaluru, Karnataka, India · Hybrid
Job Title: Lead Assistant Vice President - Business Consulting WPB Risk Analytics team is organized by the core functional areas, closely aligned to the WPB business and regional priorities. Our key services are Group Re…
Skills: Credit Risk Modeling, Data Analysis, Credit Strategy Development, Portfolio Management, Risk Based Pricing
Bengaluru, Karnataka, India · On-site
Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, g…
Skills: Zendesk Architecture, Zendesk API, Zendesk App Framework (ZAF), Zendesk Explore, Zendesk Co-pilot
Bengaluru, Karnataka, India · Hybrid
As a Data Scientist, you will derive actionable insights from large, complex and unstructured data by developing AI/ML techniques. Development, optimization and evaluating as well as deploying them into production enviro…
Skills: Deep Learning, NLP, Text Analytics, SVM, LSTM
Bengaluru, Karnataka, India · On-site
What We Do At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management…
Skills: Salesforce, Apex, Lightning, SOQL, Java
Bengaluru, Karnataka, India · Remote OK
$4000k–$5000k/yr
Title: Data Science AI/ML Lead Location: Bangalore/remote Type: Full-time Salary: 40-50LPA Notice Period: Candidates who can join within 30 days preferred What You'll Do ✅ Lead the architecture, development, and deployme…
Skills: Python, PyTorch, TensorFlow, Scikit-Learn, AI Agents
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Deploy, configure, and operationalize the Orbital foundation model within complex customer environments across cloud, on-premise, and air-gapped infrastructure. Collaborate with customer IT and engineering teams to integrate identity systems, customize UI/UX, and ensure production reliability.
Requires strong proficiency in full-stack development using TypeScript, Python, and various backend frameworks, alongside experience with containerized microservices. Candidates should have a strong troubleshooting mindset and familiarity with Linux environments and enterprise security integrations.
Applied Computing was founded in 2023 to build Orbital, a physics-informed foundation model for energy operations. We’re live across oil and gas, refineries, and petrochemicals, working towards our mission: sustainable
abundance for a growing planet.
The hydrocarbon industry keeps the world running. But its complexity has left operators tied to legacy systems, making critical decisions on less than 10% of available data. We built Orbital to change that. It’s a foundation model built specifically for energy that lets companies use AI at scale, harnessing all of their operational
data and optimising in real time for any metric. Decisions get faster, operations get safer, and carbon intensity falls.
We’ve raised over $32 million, including one of the largest seed rounds for an
AI company in the UK. We’re just getting started
As a Forward Deployed Full Stack Engineer, your job is to make Orbital work in the real world. You will deploy, configure, customise, and operationalise Orbital’s applications inside customer environments, spanning cloud, on-premise, hybrid, and air-gapped infrastructure.
You are not building generic platform features for abstraction. You are ensuring Orbital is usable, integrated, secure, and production-ready inside complex enterprise ecosystems.
You’ll work directly with customer IT, OT, data, and engineering teams adapting interfaces, extending APIs, integrating identity systems, and troubleshooting deployments live in production.
Operating Context
Forward Deployed Engineers operate in pods of three alongside:
• ML / AI Engineers
• Data Engineers
Each pod delivers 2–3 customer deployments per quarter, owning application deployment, integration, customisation, and operational reliability. You will be required to travel.
1) Application Deployment & Customisation
• Deploy Orbital’s full-stack applications into customer environments (cloud, on-prem, hybrid).
• Configure customer-specific application environments, networking, and access layers.
• Customise UI components, workflows, and feature configurations per customer use case.
• Implement customer branding, report templates, and UX adaptations.
• Ensure applications remain usable in control rooms, engineering offices, and operational settings.
2) Frontend Engineering (Customer-Facing Systems)
• Develop real-time streaming in collaboration with frontend engineer (in Svelte / SvelteKit) dashboards for AI inference and anomaly monitoring.
• Implement chat interfaces integrated with LLM services.
• Configure WebSocket pipelines for live model outputs.
• Adapt UI/UX for industrial workflows (operators, APC engineers, technologists).
3) Backend Services & API Integration
• Deploy and extend FastAPI microservices.
• Configure and customise REST and GraphQL (Strawberry) APIs.
• Implement customer-specific business logic and integrations.
• Connect application services to ML inference endpoints and data services.
• Extend APIs when customer systems require bespoke contracts.
4) Identity, Security & Enterprise Integration
• Integrate Orbital with customer identity providers:
o SSO
o SAML
o OAuth
• Implement role-based access controls.
• Configure tenant isolation and enterprise security requirements.
• Work with customer IT to satisfy firewall, network, and compliance constraints.
5) Database & Application Data Layer
• Deploy and manage PostgreSQL schemas.
• Run Alembic migrations across environments.
• Optimise queries for production performance.
• Configure customer-specific schema mappings where required.
6) Infrastructure & DevOps (Application Layer)
• Own application deployment infrastructure:
o Kubernetes
o Helm charts
o Docker services
• Manage application-level Terraform / Terragrunt provisioning.
• Configure CI/CD pipelines (GitHub Actions).
• Deploy services via container orchestration.
• Troubleshoot scaling, ingress, and service routing issues.
7) Observability & Production Reliability
• Configure application monitoring via Grafana dashboards.
• Implement logging, alerting, and SLA monitoring.
• Support Prometheus metrics integrations.
• Debug production incidents in customer environments.
8) Customer Deployment & Forward Engineering
• Work directly with customer IT / OT / Engineering teams.
• Deploy into air-gapped and tightly firewalled networks.
• Troubleshoot infrastructure, networking, and application failures.
• Build customer-specific extensions when core product configs are insufficient.
• Support onboarding, upgrades, and operational handover.
Applied AI for Energy Operations
Applied Computing; our vision is to deliver sustainable abundance for a growing planet, through AI that works for the Energy Industry. These industries are an enduring necessity, they power our planet, but their complexity has kept them tethered to legacy systems. These critical industries utilise less than 10% of their data for decision making and process optimisation. Our flagship product, Orbital, is a Multi-Foundation AI system that enables these industries to finally trust AI in the control room, harness 100% of their data and optimise in real time for any metric unlocking faster decisions, safer operations, and higher performance. With Orbital, we aim to transform how engineers and operators understand, and optimise their plants using trustworthy, physics-grounded AI. This isn’t the future of Industrial AI, this is the first time it’s worked.
Offices: London, London E28NP, GB
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