Senior Machine Learning Engineer

Posted 5 Days Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Software
The Role
Develop and own production machine learning and AI systems across their lifecycle in the food and beverage domain. Responsibilities include designing datasets, evaluation criteria, and test cases; monitoring model performance, cost, accuracy, latency, and reliability; leading experimentation and code design; collaborating with engineering, product, and sales; applying agentic coding practices; and partnering with AI product teams to improve customer experiences.
Summary Generated by Built In

Imagine yourself… 

  • Doing meaningful work that makes an everyday impact on the world around you. 

  • Growing your expertise and expanding your skillset with every project. 

  • Joining a company with a proven track record of success and an exciting future. 

 

Headquartered in Broomfield, Colorado, TraceGains, a Veralto company, connects people and information so teams can work smarter. As a global technology company, we provide networked innovation, quality, and compliance solutions to consumer brands that want to reduce supply chain risk, speed up business processes, and take control of data. 

At TraceGains, we believe “we’re in this together,” and our goal is to provide the most innovative solutions in the industry. We are in the game to change the industry, and with the help of our ever-growing TraceGains Network, we have created the CPG industry’s first networked ingredients marketplace. We also know that innovation and ingenuity start with prioritizing a diverse workforce and a deeply inclusive workplace. We encourage people from all backgrounds to apply to our positions. 

Reporting to the Head of Artificial Intelligence, the Senior Machine Learning Engineer is responsible for developing and owning the end-to-end lifecycle of Machine Learning and AI systems in the Food and Beverage science domain. This position will be located in India.  

In this role, a typical day will look like: 

  • Designing datasets, evaluation criteria, and test cases for AI systems. 

  • Measuring and monitoring the cost, performance, and accuracy of AI systems. 

  • Leading independent experimentation design and code design around ML systems. 

  • Working across multiple teams, including engineering, product, and sales, without always having explicit instruction from leadership. 

  • Working with modern agentic coding paradigms to accelerate general software engineering and helping to educate others in these best practices. 

  • Working closely with AI product teams to understand how best to deliver a great customer experience in the design of our AI deliverables. 

The essential requirements of the job include: 

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical field, or equivalent practical experience. 

  • 5+ years of professional software engineering, data engineering, AI/ML engineering, or related experience, with demonstrated ability to ship production-grade systems across the product lifecycle. 

  • Experience building production services, data pipelines and integrations in Python, with ideally additional experience as well in C# 

  • Production-grade experience with knowledge graphs, graph databases, semantic modeling, ontology concepts, or relationship-based data representations. 

  • Ability to design and interpret evaluation metrics for AI and ML systems, including model quality, retrieval quality, search relevance, classification performance, latency, cost, reliability, and user impact. 

  • 2+ years experience working with Azure cloud platform (preferred), or AWS / GCP alternatively. 

 

TraceGains is proud to part of the Product Quality & Innovation segment of Veralto (NYSE: VLTO), a $5B global leader dedicated to ensuring access to clean water, safe food and medicine, and trusted essential goods. When you join Veralto’s vibrant global network of 16,000 associates, you join a unique culture and work environment where purpose meets possibility: where the work you do has an everyday impact on the resources and essentials we all rely on, and where you’ll have valuable opportunities to deepen your skillset, pursue your ambitions, and grow your career. Together, we’re Safeguarding the World’s Most Vital Resources™—and building rewarding careers along the way. 

At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve.  Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
 

Unsolicited Assistance

We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.

Skills Required

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, a related technical field, or equivalent practical experience
  • 5+ years of professional software engineering, data engineering, AI/ML engineering, or related experience
  • Demonstrated ability to ship production-grade systems across the product lifecycle
  • Experience building production services, data pipelines, and integrations in Python
  • Experience with C#
  • Production-grade experience with knowledge graphs, graph databases, semantic modeling, ontology concepts, or relationship-based data representations
  • Ability to design and interpret evaluation metrics for AI and ML systems, including model quality, retrieval quality, search relevance, classification performance, latency, cost, reliability, and user impact
  • 2+ years of experience working with Azure cloud platform
  • Experience with AWS or GCP as an alternative cloud platform
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The Company
HQ: Ghent
1,654 Employees

What We Do

Packaging Simplified. Esko helps its customers to make the best packaging for billions of consumers. The Esko product portfolio supports and manages the packaging print processes for brand owners, designers, premedia and trade shops, packaging manufacturers and converters. PORTFOLIO The Esko product portfolio supports and manages the packaging and print processes for brand owners, retailers, designers, premedia and trade shops, packaging manufacturers, and converters. For 9 out of 10 retail packages, Esko solutions are used in packaging management, asset management, artwork creation, structural design, prepress, 3D visualization, flexo plate making, workflow automation, quality assurance, sample-making, palletization, supply chain collaboration and/or the production of signage and displays. The Esko solutions consist of an extensive suite of software and two hardware product lines: CDI flexo computer-to-plate imagers and Kongsberg digital cutting systems, complemented with professional services, training and consultancy. More on https://www.esko.com Enfocus, with its suite of automation solutions and PDF quality control tools for printers, publishers, and graphic designers, is an Esko subsidiary. MediaBeacon, with its digital asset management (DAM) solutions is also part of the Esko family. FACTS & NUMBERS Esko employs about 1,500 people worldwide. Headquartered in Gent (Belgium), its sales and service organization is in daily contact with customers all over the globe. Esko is a Danaher company (www.danaher.com

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