Job Description: AI/ML Engineer

Summary

At MINDRA, we are building an Exponential Organization (ExO) that blends AI-powered insights with human refinement to help SMEs stay future-proof and thrive beyond market limitations. As an AI/ML Engineer, you will be instrumental in developing intelligent solutions that drive business transformation and empower organizations to make data-driven decisions at scale.

Scope of the Role

As part of MINDRA’s core technical team, you will design, implement, and optimize machine learning models and AI systems that become the backbone of our platform's analytical and automation capabilities. You will work collaboratively with data engineers, software developers, and product leaders to ensure seamless integration and high impact.

Reporting Line

  • Reports to: AI & Data Lead Engineer

  • Collaborates with: Data Engineer, Prompt Engineer, Software Development team (Front-end, Back-end, UX/UI), and Product leadership.

Key Responsibilities

  • Design and develop machine learning models for business intelligence, recommendation engines, and predictive analytics.

  • Collaborate with data engineering to build robust data pipelines and feature engineering workflows.

  • Deploy and maintain scalable machine learning solutions on cloud or on-premises infrastructure.

  • Continuously evaluate model performance and iterate for improvement.

  • Integrate models into the MINDRA platform, ensuring reliability and scalability.

  • Document processes and contribute to technical knowledge sharing within the team.

  • Keep up with latest AI/ML trends and recommend ways to incorporate them into our products.

  • Support AI adoption across the organization by providing guidance and training where needed.

Background & Experience

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related fields.

  • 1–3 years of experience in AI/ML roles (open to early-career professionals with strong project portfolios or internship experience).

  • Solid experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

  • Hands-on experience with data processing, cleaning, and transformation at scale.

  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus.

  • Comfort with AI development tools and willingness to leverage AI to improve work processes.

Core Skills & Capabilities

  • Proficiency in Python or a similar programming language.

  • Strong understanding of data structures, algorithms, and software engineering principles.

  • Analytical and problem-solving mindset with a high level of ownership and accountability.

  • Ability to learn quickly, adapt, and work in a fast-paced startup environment.

  • Excellent communication skills and a collaborative attitude.