Machine Learning Engineer - 2

We are seeking a talented and passionate Machine Learning Engineer to join our AI team and play a key role in developing cutting-edge AI systems. As an early member of the team, you will design, develop, and deploy state-of-the-art machine learning models, including NLP and LLM-based solutions. You will work on challenging data science problems while collaborating closely with business, product, and engineering teams to deliver impactful AI-driven features.

This is a unique opportunity to be at the forefront of innovation, leveraging advanced AI technologies to transform an industry ripe for digital disruption.

AI System Development

• Design and develop Computer Vision, NLP, and Recommendation Systems for our applications.

• Research and implement novel deep learning architectures to solve complex data science problems.

• Develop, train, and deploy deep learning and machine learning models that are scalable and extensible.

Full Product Lifecycle Participation

• Collaborate with product managers, UX designers, and end-users to integrate software and AI components into fully functional systems.

• Participate in the complete product lifecyclefrom concept design to development, integration, testing, and deployment.

Scalable Solutions

• Build products that handle large data volumes efficiently while remaining highly scalable for onboarding new clients.

• Design complete end-to-end data pipelines and ML pipelines for seamless integration into production environments.

Research & Collaboration

• Work closely with the leadership team on research and development efforts to explore cutting-edge technologies.

• Uphold our culture of engineering excellence by maintaining high standards in code quality and innovation.

Your contributions will be instrumental in advancing Parspecs AI capabilities, enabling us to build intelligent systems that solve real-world problems in construction technology. By developing scalable AI solutions, you will help digitize an industry while driving innovation through state-of-the-art machine learning techniques.

You are a motivated Machine Learning Engineer with at least 3 years of relevant experience who is passionate about working on innovative projects in a dynamic environment. You thrive on solving challenging problems using advanced AI technologies.

Minimum Qualifications

• Bachelors or Masters degree in Science or Engineering with strong programming, critical thinking, and analytical skills.

• Strong conceptual understanding of machine learning and deep learning principles.

• Expertise in Computer Vision or Natural Language Processing (NLP).

• Hands-on experience implementing ML projects in Python using libraries like NumPy, scikit-learn, matplotlib, pandas, etc.

• Proficiency in training deep learning models using TensorFlow/Keras or PyTorch.

• Ability to write clean, efficient, and bug-free code.

• Proven ability to lead initiatives from concept to operation while navigating challenges effectively.

Preferred Qualifications

• Experience working with applications hosted on AWS or Django web frameworks.

• Familiarity with databases and web application architecture.

• Experience working with OCR tools or PDF processing libraries.

• Strong knowledge of algorithms and data structures.

• Completed academic or online specializations in Machine Learning or Deep Learning.

• Participation in competitive programming (e.g., Kaggle competitions) or contributions to open-source projects.

• Experience working with geographically distributed teams across multiple time zones.

What We Offer

• Competitive salary and benefits, including family insurance coverage, free health teleconsultations, and learning/upskilling budgets

• Equity in the company

• Flexible hours and a hybrid work setup

• Unlimited PTO

• Opportunity to grow with a fast-scaling company transforming a large market