Take your career to new heights with Loopio!

We are seeking a highly skilled Senior Machine Learning Engineer with deep expertise in NLP large language models and model deployment. This role focuses on building and operationalizing the core ML components that power our next generation search summarization and answer generation capabilities. You will work closely with Applied Scientists Product and Engineering to bring advanced models from prototype to reliable scalable production systems.

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 - 7:30 pm IST.

What Youll Be Doing

Advanced Modeling & Applied Science

• Build and productionize LLM and NLP models across retrieval summarization classification and generative tasks by developing optimized embedding pipelines prompt strategies and fine tuning methods while translating experimental prototypes into robust components that consistently perform under production conditions.

• Improve model accuracy relevance and robustness through structured evaluation frameworks systematic error analysis and iterative experimentation that ensures predictable behavior over time.

System Architecture & Engineering

• Design and implement scalable ML services and inference pipelines in Python using modern ML frameworks incorporating efficient serving strategies such as batching caching streaming and performance tuned deployment patterns that meet latency reliability and throughput requirements.

• Integrate models with retrieval systems feature stores and knowledge sources while applying strong engineering discipline in automated testing observability logging and operational readiness to support durable maintainable ML systems.

• Contribute to core architectural decisions that balance modeling complexity with performance maintainability and long term extensibility.

Delivery Collaboration & Leadership

• Translate complex NLP and LLM product requirements into structured engineering plans with clear milestones while collaborating closely with Product Engineering and Applied Science partners to align expectations remove constraints and deliver measurable customer impact.

• Participate in technical design reviews and champion improvements in ML engineering practices including deployment standards model QA code quality and operational excellence while providing informal mentorship on modern NLP techniques and scalable model serving.

• Demonstrate strong ownership and attention to detail by driving high quality delivery in a fast moving environment focused on reliability clarity and meaningful outcomes.

What Youll Bring to the Team

Proven Expertise in Machine Learning Language Models and NLP

• 4 years applying ML in production with practical depth in NLP LLM workflows embeddings or retrieval augmented systems.

• Hands on and deep experience with transformer models embedding based methods and retrieval augmented techniques prompt structured or fine tuned LLMs for reasoning and generation tasks.

• Ability to turn prototypes into stable engineering solutions that perform consistently in production environments.

System Design Scalability and Software Engineering Rigor

• Strong proficiency in Python modern ML frameworks such as PyTorch or TensorFlow and API or microservice development.

• Experience building scalable and reliable ML services with attention to latency observability testing deployment patterns and runtime durability.

• Ability to design robust agentic components including control flow state management and integrations with retrieval and knowledge systems.

Business and Product Acumen

• Ability to frame technical decisions in terms of customer impact product value and measurable improvements to workflow efficiency or answer quality.

• Strong collaboration skills with cross functional partners to align priorities and drive clear grounded execution.

• Comfort operating with ownership and urgency in a fast moving environment focused on delivering meaningful outcomes.

Where Youll Work

• This is a remote-first opportunity with the advantages of working flexibly across India.

• We are HQd 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) India (HQ in Ahmedabad) and England (London).

• 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.

• Youll collaborate with your teams virtually across the UK India and North America (were 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 Youll 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.

• Well 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.

• Youll 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.

• Youll 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 dont apply for a position simply because they dont hit every single criteria included in the job descriptionparticularly 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 weve created prompts in the application for you to share more about yourself. If youve made a career transition (or a few!) youre self taught in a new role or you have skills/experience youd 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 transcription 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 () should you require accommodations at any point during our virtual interview processes.

Required Experience:

Senior IC