Senior Machine Learning Engineer

Job Description:

Founding Team Member - Machine‑Learning Scientist

Location:

New Delhi

Role:

Full-Time, Onsite

About BioSky:

BioSky Space Innovations Pvt. Ltd. is an early-stage spacetech startup focused on
geospatial modeling and AI-driven analytics

. BioSky harnesses
space intelligence to power global industries at scale

, delivering business‑critical insights through our space‑tech platform. 

We integrate multi-source satellite imagery, weather data, and ground observations to build physics-informed geospatial models for forecasting, anomaly detection, and pollutant pathway tracing. Our solutions deliver
high-accuracy, location-specific intelligence

for sectors like
renewable energy, water resources, climate resilience, and defence

—helping organizations reduce losses, optimize operations, and make data-driven decisions.

We are a funded and IIT Delhi backed startup and selected among top 15 global space-tech startups at Venture Catalyst Space Australia, AWS Space Accelerator  Tacc+ and Taiwan International Spacetech 2025.

About the role:

Join BioSky as a
founding Machine‑Learning Engineer

focused on
Earth‑observation imagery.

You will build and deploy
computer‑vision and neural‑network models

that convert multi‑sensor satellite data into actionable insights.
The role offers a stipend and equity, with significant scope to shape both the technology and the company's growth.

We are looking for
Machine-Learning Scientists with 2-3 years of hands-on experience
who are eager to
learn, adapt, and grow rapidly
in a high-velocity startup environment. You should be driven by curiosity, thrive on solving open-ended problems, and be ready to take ownership of end-to-end systems. This role is ideal for someone who learns fast, enjoys experimentation, and wants to work on cutting-edge AI applications in spacetech.

Your Responsibilities

• Design, train, and deploy end-to-end deep-learning models (LSTM/RNN, CNN, GNN, Transformers)
• Define the vision, roadmap, and success metrics for AI/ML-based products
• Perform data cleaning, feature engineering, and exploratory data analysis to extract actionable insights
• Develop data pipelines and design domain-specific features or embeddings; automate feature generation and validation
• Prototype and productionize multi-sensor fusion workflows blending satellite and multi-source data, compressing petabytes into millisecond APIs
• Own the model life-cycle: data curation, experiment tracking, MLOps, CI/CD, GPU/TPU training, scalable inference on cloud

Experience & Must-Have Skill Sets

• 2–3 yrs hands-on experience building & shipping deep-tech ML products
• Strong foundation in statistics, probability, and ML algorithms; solid grasp of time-series & image models (ConvLSTM, Attention, Vision Transformers)
• Experience with SQL, data wrangling, and large datasets
• Proficiency in Python, R, and libraries such as scikit-learn, TensorFlow, PyTorch
• Excellent communication, stakeholder management, and leadership skills
• Bachelor's/Master's degree in Computer Science, Data Science, or a related field
• Ownership mindset and ability to execute projects end-to-end

Bonus Skills

• Prior experience in large-scale time-series forecasting
• Experience with MLOps and automation
• Familiarity with AWS/GCP GPU fleets, WebAssembly
• Startup, hackathon, or open-source contribution experience

What's in it for You

• Competitive compensation: high fixed salary + founding-team ESOPs
• Autonomy to own core feature areas end-to-end
• Opportunity to work on frontier deep-tech challenges
• Mentorship from advisors in SmartSat CRC, ISRO, IIT Delhi/Bombay, Australian Space Agency, and top global labs
• Flat structure, rapid experimentation, and tech-first culture

About the Team

The co-founders are graduates from IIT Bombay and IIM Calcutta with prior experience at Strategy&, PwC, and ISRO.

How to Apply

Submit your resume/CV to

Provide links to any GitHub repositories or product samples demonstrating your skill set.