Technician

EMPLOYMENT TYPE: Full-Time, Permanent

LOCATION: Remote

SHIFT TIMINGS: 11.00 AM - 8:00 PM IST

Role : Lead Data Analyst

Qualifications:

● Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or a related field.

● 7–10 years of experience in data operations, data management, or analytics.

● Strong understanding of data governance, ETL processes, and quality control methodologies.

● Hands-on experience with SQL, Excel/Google Sheets, and data visualization tools

● Experience with automation tools like Python script is a plus.

● Must be capable of working independently and delivering stable, efficient and reliable software.

● Excellent written and verbal communication skills in English.

● Experience supporting and working with cross-functional teams in a dynamic environment

Preferred Skills:

● Experience in SaaS, B2B data, or lead intelligence industry.

● Exposure to data privacy regulations (GDPR, CCPA) and compliance practices.

● Ability to work effectively in cross-functional, global, and remote environments.

Role: Software Developer

Employment Type: Full Time

Location: Gurugram, India

Educational Qualification: BE/BTech/ M.Tech / MS in Software Engineer

Work Experience: 6-8+ years of relevant work experience

Role Description:

Design and develop software for satellite systems, including onboard flight software and ground segment applications, ensuring reliability and real-time performance. Collaborate with hardware, AOCS, and mission teams to implement, test, and integrate software across the mission lifecycle. Support verification, validation, and in-orbit operations for robust and mission-critical performance.

Responsibilities & Duties:

• Design, develop, and maintain onboard flight software (FSW) and ground segment applications for satellite missions
• Develop real-time, embedded software for spacecraft subsystems (AOCS, EPS, payload, communication)
• Implement software in languages such as C/C++, Python, and embedded C for high-reliability systems
• Design software architecture, modules, and interfaces aligned with system requirements and mission objectives
• Develop drivers and low-level firmware for hardware interfaces (SPI, I2C, UART, CAN, SpaceWire, Ethernet)
• Work with real-time operating systems (RTOS) such as FreeRTOS or equivalent
• Implement communication protocols for telemetry, telecommand, and data handling
• Collaborate with hardware, AOCS, RF, and systems teams for seamless hardware-software integration
• Develop simulation tools, test scripts, and automation frameworks using Python or MATLAB
• Perform software verification and validation (V&V), including unit testing, integration testing, and system testing
• Develop and execute Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) test environments
• Perform code reviews, static analysis, and debugging to ensure reliability and performance
• Optimize software for real-time performance, memory usage, and fault tolerance
• Implement fault detection, isolation, and recovery mechanisms
• Support integration, system testing, and environmental testing (EMI/EMC, thermal vacuum, vibration)
• Develop and maintain technical documentation (design documents, interface control documents, test reports)
• Participate in design reviews (SRR, PDR, CDR, TRR) and technical discussions
• Support launch operations, commissioning, and in-orbit software updates and anomaly resolution
• Utilize version control and collaboration tools such as Git
• Work within structured development processes (Agile/Waterfall/Sprint) and configuration management systems
• Troubleshoot software and system-level issues and perform root cause analysis

Desirable Skills & Certifications:

• Strong proficiency in C/C++ and Python for embedded and system-level software development
• Experience with real-time operating systems such as FreeRTOS or equivalent RTOS platforms
• Familiarity with spacecraft communication protocols (UART, SPI, I2C, CAN, SpaceWire, Ethernet) and telemetry/telecommand systems
• Experience in Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and simulation-based verification
• Knowledge of space software standards and practices (ECSS, NASA, ISRO, MISRA C guidelines)
• Proficiency in version control and development workflows using Git and CI/CD practices
• Understanding of embedded systems, firmware development, and hardware-software integration

Location: Bangalore

Experience: 3-5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most companies are using LLMs.

Very few are building an advantage from them.

Right now, LLM cost is our largest margin constraint, and model behavior is still too generic to be defensible.

This role exists to:

• Turn LLM usage into a cost-efficient system
• Build compounding intelligence across accounts
• Create a differentiated analysis layer that competitors can’t replicate

What you’ll do

You will not just build models.

You will own the intelligence and cost structure of the platform.

1. Drive down LLM cost dramatically

• Reduce cost per interaction from ₹40 → ₹2 within 6 months
• Implement:
• Model tiering (right model for the right task)
• Caching strategies (semantic + response caching)
• Batching and async processing
• PTU / reserved capacity optimization
• Ensure performance does not degrade while reducing cost

2. Optimize infrastructure spend

• Reduce cloud spend from ₹20L/month → ₹4L/month
• Work across infrastructure layers (Azure / compute / inference)
• Balance:
• Latency
• Cost
• Throughput
• Treat infra as a first-class optimization problem

3. Build the fine-tuning and learning pipeline

• Design systems where:
• Every interaction improves future performance
• Build pipelines for:
• Fine-tuning
• Feedback loops
• Continuous model improvement
• Ensure the 5th customer deployment is structurally better than the 1st

4. Create a differentiated intelligence layer

• Build analysis systems that:
• Extract signals from interactions
• Improve decision-making
• Drive outcome improvements
• Move beyond responses → insight + action

5. Enable new AI-native product categories

• Identify opportunities where:
• AI enables workflows that were not previously possible
• Build foundational ML capabilities to unlock those categories
• Focus on creation, not just efficiency

6. Commoditize LLM usage internally

• Abstract complexity of LLM usage from product teams
• Build internal systems where:
• Cost is predictable
• Performance is consistent
• Make LLM usage a reliable utility layer

What success looks like

• Cost per interaction drops to ₹2 or lower
• Infrastructure spend reduces 5x without performance loss
• Model performance improves with every deployment
• Platform develops a clear intelligence advantage
• New AI-native capabilities become possible due to your systems

Who you are

• You have 3-5 years of experience in ML / applied AI / systems engineering
• You have worked with:
• LLMs
• Inference optimization
• Production ML systems
• You think in:
• Systems
• Trade-offs (cost vs latency vs quality)
• You care about real-world impact, not just model metrics

What will make you stand out

• Experience with:
• LLM optimization (prompting, fine-tuning, distillation)
• Distributed systems or infra-level optimizations
• High-scale inference systems
• Built systems that:
• Reduced cost significantly
• Improved performance over time
• Strong understanding of:
• Caching strategies
• Model routing
• Evaluation frameworks

Why join

• You will directly impact company margins and scalability
• Your work defines whether we have a defensible ML advantage
• You will build systems that move from:
• Generic AI usage → compounding intelligence

What this role is not

• Not research-only
• Not experimentation without production impact
• Not isolated from product and business outcomes

What this role is

• A builder of ML systems at scale
• A driver of cost and performance optimization
• A creator of long-term competitive advantage

One question to self-evaluate

Can you build ML systems that get cheaper, smarter, and more valuable with every interaction?

The candidate should be good in designing. He should have accurate knowledge about graphic designing. Latest technology is must. Communication skills should be good.

Desired Skills

1. Expereience in C#, Web API, .NET (Core and Framework), SQL Server.
2. Leading a team designing and implementing software solutions using the Microsoft Azure stack primarily, with scope to also work with open-source technologies.
3. Designing, building, testing, automating, monitoring, and supporting significant components within a modern digital service platform.
4. Helping to build and lead an effective, cross-functional squad practicing agile ways of working (Scrum, DevOps, Design Sprints) in tight collaboration with local and remote teams
5. Microservices and server less architecture with service fabric, functions and API apps, service bus.
6. Visual Studio, Visual Studio Code and GIT, Azure CLI (Cloud Shell), Azure DevOps.
7. Expertise in with Azure Active Directory, VNETs, NSGs, ASGs, OAuth and OpenID Connect, Azure traffic manager, CDN, App Gateway and load balancers.
8. Hands on experience of executing cloud native projects in Azure with DevOps

Thingworx Developer/Sr Developer

Required experience range between 3-6 years.

· Thingworx Navigate experience desired

· Languages - Java, JavaScript & CSS

· Experience in Core Java, Java collections & Oops Concept

· Databases – MySQL, MS-SQL

· Having good working knowledge with XML, JSON.

· Design and Application development using Thingworx version - (8.2,8.5,9.X)

· ThingWorx service creation using JavaScript

· Develop ThingWorx extension using Java

· ThingWorx service creation using Java Extension

· ThingWorx mashups design and development

· Data storage in ThingWorx - Stream/Value Stream/Data Tables

· Integration with source/target system using REST API, data Files.

· Familiar with Agile Methodologies (SCRUM)

· Thingworx Integration with 3rd apps preferred and will be added advantage