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Senior Machine Learning Engineer

Take your career to new heights with Loopio! 🚀✨

Seeking an individual to join the Strategic Insights team within Engineering to empower customers with actionable insights, improving proposal quality, win rates, and team productivity. Focus on enhancing dashboard usability, integrating tailored recommendations, increasing team productivity through analytics, and showcasing Loopio's ROI to executives.

At Loopio, Machine Learning Engineers and Data Scientists work together on a mission to transform the RFP response process into a rapid and seamless experience. Our team works across all platform portfolio features and delivers innovative solutions where it matters the most for our customers. Some of the initiatives that you will be working on will include automated language detection, intelligent project import, and search improvements based on Natural Language Processing and GenAI.

We are looking for an experienced Senior Machine Learning engineer to build and support the delivery of machine learning-driven features for our platform. Our perfect candidate has deep technical skills and is comfortable working in evolving technology infrastructure. This is a unique opportunity to join a growing team of creative and passionate individuals committed to solving real-world problems with modern AI practices.  

You will partner closely with Product Managers, Architects and Data Scientists to use Machine Learning techniques to help us take Loopio’s user value to the next level. 

This role requires close collaboration with teams across Canada, the UK, and India. To accommodate the time zone differences, you will be expected to work from 11 am to 7:30 pm IST.

What You’ll Be Doing

  • Working closely with Product Managers, Software Developers, and Data Scientists to design, build, maintain and optimize our data management and machine learning applications

  • Develop software to deliver and integrate machine learning product capabilities into our platform through REST services

  • Keep up with the latest ML Technologies and advancements and find ways to incorporate them into our existing solutions where applicable

  • Build data processing pipelines supporting data analysis and machine learning tasks, and automate data pipelines in production

  • Perform code reviews and add automated testing to ensure software quality is high 

  • Collaborating with some of the brightest minds in the field and leveraging state of the art technologies in Python, ML/DL/NLP and cloud on a daily basis

What You’ll Bring to the Team

  • We are looking for a Senior Machine Engineer with 4+ years of experience to join our team.

  • Experience in a high-growth agile software development environment

  • Experience developing machine learning-driven applications

  • Interest and have done work in statistical modeling and machine learning

  • A good understanding of ETL, data warehousing, data modeling and data architecting

  • The knowledge to work with data scientists and translate proof of concept models into production strength systems

  • Development skills in Python, relational databases such as MySQL or PostgreSQL, NoSQL databases, e.g., Redis or Cassandra, data processing frameworks such as Spark (DataBricks) or Presto (AWS Athena), and deep learning frameworks such as TensorFlow / Pytorch, Kinesis and Lambda

  • The ability to take projects on from early concept to a finalized production solution

  • Experience with microservice architectures 

  • Strong test automation skills (unit and functional)

⭐️ Bonus Qualifications ⭐️

  • Experience with container orchestration (leveraging tools like Docker, Kubernetes)

  • Experience with MLOps and CI/CD for ML enabled applications

  • Experience with Natural Language Processing techniques

Where You’ll Work 📍

  • Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We are HQ’d in Canada, with established hub regions around the world where we hire from. 

  • Our employees (or Loopers, as we call ourselves!) live and work in 🇨🇦 Canada (British Columbia and Ontario), 🇬🇧 London, and 🇮🇳 India (specifically in Gujarat, Maharashtra, and Bengaluru).

  • Our India/UK hub employees work according to the business hours stated in the job description above. This is intentionally designed to enable our global teams to have overlapping hours for collaboration.

  • You’ll collaborate with your teams virtually across the UK, India, and North America (we’re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work 🙇🏾 during the workday

  • We encourage asynchronous collaboration to effectively work as a global #OneTeam!

Why You’ll ❤️ Working at Loopio

  • Your manager supports your development by providing ongoing feedback and regular 1-on-1s; we leverage Lattice for our 1:1s and performance conversations  

  • You will have the opportunity to elevate 🪄 your craft and the opportunity to explore your creativity with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact.

  • We offer a wide range of health and wellness benefits to support your physical and mental well-being, starting day 1️⃣ with Loopio.

  • We’ll set you up to work remotely with a MacBook laptop 🍏, a monthly phone and internet subsidy, and a work-from-home budget to help get your home office all set up.  

  • You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.

  • Participate in 🎤 townhalls, AMA (Ask-Me-Anything), and quarterly celebrations to celebrate the big wins and milestones as #oneteam!

  • Our four active Employee Resource Groups offer opportunities for employees to learn and connect year-round. 

  • You’ll be a part of an award-winning workplace 🏆with an opportunity to make a big impact on the business.

Questioning your qualifications? Read this ‼️ Hi there, we recognize that all too often, potential candidates don’t apply for a position simply because they don’t hit every single criteria included in the job description—particularly members of underrepresented groups

Whether or not your experience ✅ checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table.

AI in Recruitment 👩🏻‍💻 At Loopio, we leverage  artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening, drafting preliminary job descriptions, generating initial interview questions, and occasionally sourcing prospective candidates. However, AI is never used to make final hiring decisions; our use of AI  serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices, prioritizing both  an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases, with all key hiring decisions  solely made by our team. We continuously review and refine our hiring practices to align with  industry best practices and evolving legal guidelines

Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team (work@loopio.com) should you require accommodations at any point during our virtual interview processes.

What You Should Know About Senior Machine Learning Engineer, Loopio Inc.

Take your career to new heights with Loopio! 🚀✨ We are on the lookout for a Senior Machine Learning Engineer to join our Strategic Insights team in Bangalore. In this role, you will have the chance to empower our customers with actionable insights that improve proposal quality, boost win rates, and enhance team productivity. Working closely with a talented group that includes Product Managers, Architects, and Data Scientists, you will help transform the RFP response process into a seamless experience. Your tasks will range from enhancing dashboard usability to integrating tailored recommendations and showcasing Loopio's impressive ROI to executives. This unique opportunity allows you to work on innovative initiatives, including automated language detection and intelligent project imports, utilizing the latest in Natural Language Processing and GenAI. If you possess deep technical skills, thrive in evolving tech infrastructures, and are excited about machine learning, we want to hear from you! Expect a collaborative environment where you can connect with teams across Canada, the UK, and India, with a core working schedule from 11 am to 7:30 pm IST. Join our diverse, passionate team at Loopio, where we leverage state-of-the-art technologies and foster a culture of creativity and continuous learning. Your impact on delivering high-quality, machine learning-driven features will be significant!

Frequently Asked Questions (FAQs) for Senior Machine Learning Engineer Role at Loopio Inc.
What are the primary responsibilities of a Senior Machine Learning Engineer at Loopio?

As a Senior Machine Learning Engineer at Loopio, your main responsibilities involve designing, building, and optimizing data management and machine learning applications. You’ll collaborate with Product Managers and Data Scientists to create machine learning-driven features that improve user value. Additionally, you'll be tasked with developing software that integrates these features into our platform, building data processing pipelines, performing code reviews, and staying updated on the latest machine learning technologies.

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What qualifications are needed for the Senior Machine Learning Engineer position at Loopio?

To be considered for the Senior Machine Learning Engineer position at Loopio, candidates should have at least 4 years of experience in a high-growth agile software development environment. A solid understanding of statistical modeling and machine learning, proficiency in Python, and experience with data warehousing and data processing frameworks such as Spark or Presto are essential. Strong test automation skills and familiarity with microservice architectures are also required.

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How does Loopio support the professional development of its Senior Machine Learning Engineers?

Loopio is deeply committed to the professional development of its Senior Machine Learning Engineers. You will receive ongoing feedback through regular 1-on-1s, and there is a dedicated professional mastery allowance to foster continuous learning and skill enhancement. The culture encourages experimentation and innovative thinking, allowing engineers to explore creative solutions that drive business impact.

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What kind of projects will a Senior Machine Learning Engineer work on at Loopio?

At Loopio, as a Senior Machine Learning Engineer, you will work on exciting projects such as automated language detection, intelligent project import, and search enhancements utilizing Natural Language Processing and GenAI techniques. These projects aim to elevate user experience and redevelop the RFP response process, allowing for a more rapid and efficient approach.

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What is the work environment and team culture like for a Senior Machine Learning Engineer at Loopio?

The work environment for a Senior Machine Learning Engineer at Loopio is remote-first, promoting flexibility and collaboration across global teams located in Canada, the UK, and India. The company values a supportive culture where open communication is encouraged, and employees can connect through various initiatives. You will engage in asynchronous collaboration and have opportunities to participate in town halls and celebrations, fostering a true sense of community.

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Common Interview Questions for Senior Machine Learning Engineer
Can you describe your experience with developing machine learning-driven applications?

In your response, focus on specific projects where you've successfully implemented machine learning features. Detail the challenges you faced, the technologies you used, and how your work benefited previous projects. Highlight your roles in team collaboration and how you translated concepts into functional applications.

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What programming languages and frameworks are you proficient in for machine learning tasks?

Be prepared to mention languages such as Python and frameworks like TensorFlow or PyTorch. Discuss particular projects where you've utilized these technologies and your familiarity with data processing frameworks like Spark or Presto. This showcases your technical depth and adaptability in diverse project scenarios.

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How do you approach keeping up with the latest machine learning technologies?

Discuss the methods you use to stay informed about industry trends, such as attending workshops, engaging with online courses, or participating in relevant tech communities. Mentioning specific resources you follow, like research papers, blogs, or influential professionals in the field can also illustrate your commitment to professional development.

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Describe a time when you faced a significant challenge in a machine learning project. How did you overcome it?

Use the STAR method (Situation, Task, Action, Result) to articulate the challenge effectively. Highlight how your technical skills and problem-solving abilities allowed you to navigate the situation, what strategies you employed, and the positive outcome of your actions.

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How do you ensure the quality and reliability of machine learning models?

Elaborate on methods such as thorough testing, using automated testing frameworks, and conducting code reviews. Discuss how you validate models with real-world data and the importance of continuous evaluation and adjustments to maintain high-quality standards.

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What experience do you have with data warehousing and ETL processes?

Discuss any relevant experience with data warehousing technologies, describing how you've contributed to ETL processes in previous roles. Mention specific tools or frameworks you have used and how they helped improve data management and flow in your projects.

Join Rise to see the full answer
Can you explain your experience with Natural Language Processing?

Detail your experience with NLP techniques, providing examples of projects where you've implemented these technologies. Discuss how you've approached language detection, text analysis, and the tools you've utilized to enhance the machine learning models tied to NLP.

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How do you handle collaboration with cross-functional teams?

Share examples of how you've successfully collaborated with product managers, data scientists, and software engineers. Emphasize your communication skills, adaptability, and how you value differing perspectives to drive project success.

Join Rise to see the full answer
Describe your experience with MLOps and CI/CD processes for machine learning applications.

Discuss any MLOps tools you have worked with, such as those for automating the deployment of machine learning models. Explain how integrating CI/CD processes has improved your workflow and led to more efficient model management and delivery.

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What motivates you about working in the field of machine learning?

Share your passion for machine learning and how it influences your work. Discuss the impact of machine learning on business solutions and how solving real-world problems through innovative technologies drives your enthusiasm and commitment.

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Founded in 2014, Loopio offers a RFP response solution which streamlines the way enterprises respond to Requests for Proposals (RFPs), Requests for Information (RFIs), Due Diligence Questionnaires (DDQs), and Security Questionnaires. The company i...

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Full-time, remote
DATE POSTED
February 19, 2025

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