Senior Machine Learning Engineer - 1
Hybrid - Bangalore, India
Parspec
Empower your organization with AI-powered solutions from Parspec. Bid more jobs, increase revenue, and improve profitability in today's dynamic market.Founded in 2021, Parspec is revolutionizing material procurement for the $13 trillion USD construction industry by digitizing and organizing the industry's product data. Our proprietary AI technology maintains a current and comprehensive catalogue of millions of products, enabling our customers to identify products that best meet their needs - instantly. Trusted by top designers, builders, distributors and sales agents and backed by leading venture investors, Parspec is paving the way for a more innovative, connected, and sustainable future in construction.
Join us in building transformative technology that reshapes one of the world’s oldest and largest industries.
The Opportunity
We are seeking a talented and passionate Senior 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. As a Senior ML Engineer, you'll not only lead complex technical initiatives but also actively mentor junior team members and drive projects from ideation to deployment.
This is a unique opportunity to be at the forefront of innovation, leveraging advanced AI technologies to transform an industry ripe for digital disruption.
What You Will Achieve and Key Responsibilities
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 lifecycle—from 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.
Why This Matters
Your contributions will be instrumental in advancing Parspec’s 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.
Who You Are
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
Bachelor’s or Master’s degree in Science or Engineering with strong programming, critical thinking, and analytical skills.
5+ years of experience in ML and Data science
Strong conceptual understanding of machine learning and deep learning principles.
Expertise in Computer Vision or Natural Language Processing (NLP).
Hands-on experience in python coding and frameworks like PyTorch, building ML/DL models independently, as well as exposure to building Generative AI applications.
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.
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
Preferred Location: Bengaluru, with regular in-office presence
At Parspec, we recognize that traditional job descriptions don’t always capture the full range of your unique abilities—and that’s perfectly okay. You may not meet every requirement, but if you bring a mix of experiences, fresh perspectives, and a passion that aligns with our mission, we want to hear from you!
The Parspec team believes that varied backgrounds drive better outcomes and fuel innovation. We are a team of self-starters that lead from every seat. We think big, set a standard of excellence and are committed to diversity and a discrimination-free workplace. We welcome applicants from all walks of life to join us and help shape the future at Parspec.
How to Apply
Submit your application and resume highlighting your achievements. Apply now and help drive transformative change in one of the world’s oldest and largest industries!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Computer Vision Data pipelines Deep Learning Django Engineering Generative AI Keras LLMs Machine Learning ML models NLP OCR Open Source Pipelines Python PyTorch Research TensorFlow Testing UX
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Unlimited paid time off
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