LAT Aerospace is hiring for a FRESHER entry level Data and ML Engineer role in India

Position:

• Data and ML Engineer

• Entry level role focused on building intelligent data systems for next generation aircraft autonomy

• Core engineering position within the perception and autonomy division

• Responsible for transforming raw aerospace data into usable intelligence

• Direct contribution to flight control, navigation, and autonomy systems

• Hands on role combining data engineering, machine learning, and aerospace analytics

• Exposure to real world flight systems and test data

• Opportunity to work on clean sheet aircraft development

• Involvement in autonomy architecture from the early stages

• Focus on structured datasets, telemetry processing, and intelligent automation

• Role designed for high ownership and long term technical growth

---

Company:

• LAT Aerospace Private Limited

• Indian aerospace startup focused on next generation aviation technology

• Building Indias first clean sheet hybrid electric short takeoff and landing aircraft

• Company focused on autonomy driven aviation systems

• Core mission is to redefine complex aircraft operations through intelligent systems

• Team consists of engineers working across perception, autonomy, guidance, navigation, and control

• Focus on scalable aircraft intelligence platforms

• Working on missions requiring advanced obstacle avoidance and navigation without GPS

• Deep focus on autonomy stack and swarm coordination

• Vision driven engineering culture with startup speed and ownership

---

Location:

• Gurgaon

• Haryana

• India

• Onsite work environment

• Physical presence required for close collaboration with engineering and testing teams

• Located close to key industrial and technology hubs

• Role involves working closely with hardware, flight test, and autonomy teams

• Office based role aligned with real time aircraft system development

---

Job type:

• Full time

• Core team role

• Permanent employment

• Long term growth opportunity

• High responsibility engineering position

• Full ownership of assigned systems

---

Job mode:

• Onsite

• Work from office

• Daily collaboration with cross functional engineering teams

• Direct interaction with autonomy, navigation, and flight test engineers

• On ground access to real aircraft data and simulations

---

Job requisition id:

• LAT ADML 001

• Internal hiring reference for aerospace data and machine learning engineering

• Used for application tracking and hiring workflows

---

Years of experience:

• Entry level

• Freshers encouraged to apply

• Zero to three years of relevant experience (0-3 years)

• Strong academic and project background accepted

• Practical exposure valued more than formal experience

---

Company description:

• LAT Aerospace Private Limited is an Indian aerospace innovation company working on next generation aircraft platforms focused on clean energy and advanced autonomy systems

• The company is developing Indias first fully clean sheet hybrid electric short takeoff and landing aircraft that is built from the ground up with autonomy as the core capability

• The organization is also building a full stack autonomy framework including flight control, obstacle avoidance, navigation without satellite support, and multi aircraft coordination

• LAT Aerospace operates at the intersection of aerospace engineering, artificial intelligence, embedded systems, and advanced data platforms

• The company focuses on missions that require advanced perception and decision making in complex and challenging environments

• The team works on building aircraft that can operate reliably in GPS denied zones using intelligent perception and sensor fusion

• LAT Aerospace is driven by a vision to redefine how aircraft operate in dynamic and uncertain environments

• The organization believes in strong ownership, speed of execution, and engineering excellence

• Engineers at LAT Aerospace get the opportunity to work on full stack autonomy problems from data collection to flight deployment

• The company culture supports innovation, rapid experimentation, and building from first principles

• LAT Aerospace offers a unique opportunity to be part of Indias emerging deep tech aerospace ecosystem

• The company is building technology not just for today but for future aviation missions that require autonomy, precision, and safety

• Employees work in a highly technical and mission driven environment

• The startup atmosphere allows engineers to see the real world impact of their work

• LAT Aerospace is positioned as one of the most ambitious aerospace startups in the country

---

Profile overview:

• The Aerospace Data and ML Engineer role is designed for individuals who enjoy working at the intersection of data systems and machine intelligence within real world aerospace applications

• This role focuses on transforming raw aircraft and simulation data into structured datasets that can power intelligent flight systems

• The engineer will be deeply involved in organizing logs generated from real flight tests, simulations, and design systems

• The role includes working on data pipelines that convert large volumes of sensor data into usable analytical formats

• The engineer will develop tools that allow flight and autonomy engineers to visualize and analyze telemetry in real time

• The profile requires strong collaboration with autonomy, guidance, navigation, and flight testing teams

• The role is central to extracting meaningful performance metrics from complex aerospace telemetry

• The engineer will help enable faster debugging, performance optimization, and system reliability

• The position also focuses on building intelligent log analysis tools using machine learning and large language models

• The role involves training models to interpret anomalies, generate summaries, and highlight faults

• This position gives exposure to real aircraft systems instead of only laboratory datasets

• The engineer plays a critical role in making engineering teams faster and more data driven

• The work directly impacts flight safety, system reliability, and autonomy performance

• The role is ideal for those who enjoy working with large scale time series data

• It provides hands on exposure to aerospace grade software systems and autonomy platforms

• The profile blends software engineering, data engineering, and machine learning into one integrated role

• This position is suited for individuals looking to work on real world mission critical systems

• The learning curve is steep and the exposure is deep across multiple technical layers

• The engineer becomes a key contributor to LAT Aerospace autonomy roadmap

• The role gives the opportunity to influence how data systems are designed from scratch

---

Qualifications:

• Strong proficiency in Python for data processing and machine learning workflows

• Good understanding of data structures, algorithms, and software fundamentals

• Experience working with time series data, telemetry logs, or streaming data systems

• Familiarity with machine learning concepts including supervised and unsupervised learning

• Basic understanding of large language models and their real world applications

• Exposure to model training or fine tuning pipelines is preferred

• Ability to handle large, unstructured, and multimodal datasets

• Understanding of data preprocessing techniques including cleaning and normalization

• Knowledge of feature extraction from sensor based data is beneficial

• Comfort with working on end to end data pipelines

• Familiarity with data indexing, search systems, and query optimization

• Understanding of experiment tracking and performance evaluation

• Exposure to visualization tools for large datasets is preferred

• Strong problem solving mindset with ability to handle ambiguity

• Willingness to learn new aerospace specific concepts quickly

• Ability to collaborate effectively with cross functional engineering teams

• Clear communication skills to explain technical concepts to different stakeholders

• Interest in autonomy systems, robotics, or aerospace applications

• Academic background in engineering, computer science, data science, or related field

• Strong foundation in statistics and mathematical reasoning

• Passion for building systems that work in real world physical environments

---

Additional info:

• This is a core team role with high ownership and responsibility

• The engineer will work directly with senior autonomy and flight engineers

• The role offers exposure to the full aircraft autonomy lifecycle from simulation to real flight

• Candidates will work on real aircraft telemetry instead of synthetic datasets

• The work environment emphasizes speed of execution and engineering quality

• Engineers are encouraged to take initiative and propose system improvements

• The organization values practical problem solving over theoretical perfection

• The role allows direct involvement in shaping LAT Aerospace data infrastructure

• Engineers will contribute to systems that directly impact flight safety

• The learning opportunities are extensive across autonomy, data, and machine intelligence

• The company supports experimentation and rapid iteration

• The role offers long term career growth in deep tech and aerospace

• Exposure to multidisciplinary teams including hardware, software, and flight operations

• Engineers will gain experience in mission critical system development

• The organization promotes a culture of technical ownership and accountability

• This role is well suited for individuals seeking hands on experience in advanced aviation systems

• The engineer will help define future standards for aerospace data intelligence

• The position offers a rare opportunity to work on a clean sheet aircraft autonomy program in India

• The work contributes to building national aerospace capability

• The role is suitable for candidates who enjoy high impact engineering work

Please click here to apply.