Job Description
Team: IT
This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI & Optimization Engineer in India.
This role sits at the intersection of artificial intelligence, data engineering, and large-scale industrial optimization, focusing on improving the efficiency of complex Bitcoin mining operations.
You will design and develop AI models that transform high-volume operational data into actionable intelligence for real-time decision-making.
The position involves building scalable data foundations, advanced ML systems, and optimization frameworks that directly impact site-level performance.
You will collaborate closely with engineering and operations teams to embed AI capabilities into core platforms and workflows.
A strong emphasis is placed on turning telemetry, sensor data, and system signals into predictive and automated insights.
This is a highly technical and impactful role within a fast-paced, remote-first, innovation-driven environment.
Accountabilities:
- Define and lead the AI and optimization strategy for large-scale mining operating systems and development platforms, ensuring measurable operational improvements.
- Design standardized data models, schemas, and pipelines to support high-quality, structured, and scalable machine learning use cases.
- Develop and deploy AI/ML models including predictive maintenance, anomaly detection, performance optimization, and energy efficiency forecasting.
- Build optimization systems leveraging mathematical and statistical techniques to improve operational decision-making and automation.
- Collaborate with backend and platform engineers to integrate AI models into production systems, APIs, and workflows.
- Work closely with operations teams to validate model outputs and continuously refine system accuracy and relevance.
- Ensure AI systems are scalable, explainable, reliable, and maintainable in production environments.
- Document architectures, assumptions, and methodologies while contributing to a strong data-driven engineering culture.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Applied Mathematics, Statistics, or related field.
- 3+ years of experience in AI/ML, data science, or applied optimization roles.
- Strong experience designing data models, schemas, and pipelines for large-scale time-series or telemetry-driven systems.
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Scikit-Learn.
- Solid understanding of optimization techniques including linear/non-linear programming and decision systems.
- Experience with time-series modeling, anomaly detection, and predictive systems in production environments.
- Familiarity with signal processing and feature extraction from sensor or industrial data sources.
- Experience working with containerized environments such as Docker.
- Strong JavaScript/TypeScript skills, ideally within Node.js ecosystems.
- Excellent problem-solving abilities, strong analytical thinking, and ability to work in distributed teams.
- Strong English communication skills with a collaborative and proactive mindset.
- Opportunity to work on cutting-edge AI systems applied to large-scale industrial optimization challenges.
- Remote-first and globally distributed working environment.
- High-impact role with direct influence on operational efficiency and system performance.
- Exposure to advanced AI, optimization, and data-intensive engineering problems.
- Collaborative culture with strong focus on innovation, autonomy, and technical excellence.
- Continuous learning and opportunity to work with highly skilled global teams.
Requirements:
Benefits:
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Date Posted
04/20/2026
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