Senior Machine Learning Engineer - 1

Posted Yesterday
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Bangalore, Bengaluru, Karnataka
In-Office
Senior level
Artificial Intelligence • Information Technology • Software
The Role
As a Senior Machine Learning Engineer, you'll design, develop, and deploy advanced AI models, mentor junior members, and collaborate across teams to enhance AI capabilities in the construction industry.
Summary Generated by Built In
About Parspec

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 driving role in developing cutting-edge AI systems. As a key member of the team, you will design, develop, and deploy state-of-the-art machine learning models, including LLM optimizations. 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
Research, Design, Develop and Deploy AI models and systems
  • Lead the research and development of AI models - a varied portfolio ranging from small classifiers to fine-tuning LLM’s for specific use-cases

  • Design, implement and deploy AI-based solutions to solve business and product problems

  • Develop and implement strategies to track and improve the performance and efficiency of existing and new AI models and systems

  • Operationalize efficient dataset creation and management

  • Execute best practices for end-to-end data and AI pipelines

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

  • Collaborate with cross-functional teams including full-stack engineers, product managers, QA engineers, data annotation experts, SMEs and other stakeholders to ensure successful implementation of AI technologies

Build and Mentor the AI Team
  • Work closely with the AI & Engineering Leadership to support hiring of top AI talent

  • Uphold our culture of engineering excellence by maintaining high standards in innovation & execution

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 5 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, data science, critical thinking, and analytical skills

  • 5+ years of experience building in ML and Data science

  • Recent demonstrable hand-on experience with LLMs - integrating off-the-shelf LLM’s, fine-tuning smaller models, building RAG pipelines, designing agentic flows, and other optimization techniques with LLMs

  • Strong conceptual understanding of foundational models, transformers, and related research

  • Strong conceptual understanding of the basics of machine learning and deep learning with expertise in Computer Vision and Natural Language Processing

  • Recent demonstrable experience with managing large datasets for AI projects

  • Experience with implementing AI projects in Python and working knowledge of associated Python libraries - numpy, scipy, pandas, sklearn, matplotlib, nltk, etc.

  • Experience with Hugging Face, Spacy, BERT, Tensorflow, Torch, OpenRouter, Modal, and similar services / frameworks

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

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

  • Strong analytical and problem-solving skills

  • Excellent communication and interpersonal skills

Preferred Qualifications
  • Recent experience with implementing state-of-the-art scalable AI pipelines for extracting data from unstructured / semi-structured sources and converting it into structured information, along with necessary technical infrastructure to support deployment

  • Experience with cloud platforms (AWS, GCP, Azure), containerization (Kubernetes, ECS, etc.), and managed services like Bedrock, SageMaker, etc.

  • Experience with MLOps practices, e.g. model monitoring, feedback pipelines, CI/CD flows, and governance best-practices

  • 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.

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

  • Track record of publishing research in top-tier conferences and journals

  • 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

  • Preferred Location: Bengaluru, with regular in-office presence

Join Us – Lead the Transformation!

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!

Top Skills

AWS
Azure
Bert
Ecs
GCP
Hugging Face
Kubernetes
Matplotlib
Modal
Nltk
Numpy
Openrouter
Pandas
Python
Scipy
Sklearn
Spacy
TensorFlow
Torch
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The Company
San Francisco Bay Area,, California
43 Employees
Year Founded: 2020

What We Do

We are a technology company utilizing AI to serve the supply chain for the building and construction industry. Our mission is to simplify the process of discovering and sourcing the best available construction products and materials.

Headquartered in the San Francisco Bay Area, Parspec was founded by a unique team of technologists and construction industry veterans who share a passion for our built environment. The platform we're building empowers our customers, and the construction industry in general, to build and operate the facilities and infrastructure that our economy depends on more efficiently; and to reduce the significant impact these structures have on our natural environment

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