AI & Optimization Engineer

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.
  
  

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Requirements

• 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.
  
  

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Benefits

• 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.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.