Senior AI Engineer

2 weeks ago

Mississauga, Ontario, Canada Avenue Code Full time

About the company:

Avenue Code is the leading software consultancy focused on delivering end-to-end development solutions for digital transformation across every vertical. We're privately held, profitable, and have been on a solid growth trajectory since day one. We care deeply about our clients, our partners, and our people. We prefer the word 'partner' over 'vendor', and our investment in professional relationships is a reflection of that philosophy. We pride ourselves on our technical acumen, our collaborative problem-solving ability, and the warm professionalism of our teams.

Avenue Code has been believing in and promoting plurality actions for over 10 years, understanding that recognizing differences and fostering a safe environment, employment opportunities, representation, and support are the best ways to promote an increasingly equitable culture.

About the opportunity:

  • We seek a highly motivated Senior AI Engineer to join the Computational Sciences organization in Medical Research and Early Development . Our group is dedicated to leveraging AI to accelerate drug discovery and target discovery efforts. Our focus spans large-scale foundation models across biochemical modalities, multi-modal reasoning, and autonomous agent design, with a strong emphasis on scientific discovery, drug development, and complex decision-making pipelines.
  • The successful candidate will have a strong background in software development, a passion for quality and scalability, and an interest in creating evaluation systems. You will contribute to developing, deploying, evaluating and scaling LLM based agents across different modalities for complex decision-making pipelines. You will work at the intersection of deep learning and large-scale optimization, with a focus on evaluation, benchmarking, scaling, model deployment, and MLOps. The successful candidate will work in an exciting and multidisciplinary environment alongside AI scientists, AI engineers, and computational biologists/chemists in a research-focused team. Prior experience in biology/chemistry is not required for this role.

Responsibilities:

  • Design, optimize, evaluate and deploy cutting-edge deep learning models (e.g. large language models, multi-modal transformers, etc.) and data pipelines.
  • Optimize and scale model and data pipelines for performance and accuracy.
  • Monitor and maintain deployed models, ensuring the best performance in applications.
  • Collaborate with cross-functional teams to translate novel ML methods into impactful applications for drug discovery and target discovery.

Required Qualifications:

  • Master's degree in Computer Science, Machine Learning, Data Science, or a related field.
  • Strong foundations in data structures, algorithms, and software engineering principles.
  • Demonstrated experience in deep learning (e.g., previous projects or publications).
  • Excellent Python and PyTorch programming skills.
  • Demonstrated experience with MLOps, model deployment (e.g., Triton, ONNX), and API-based AI systems.
  • Experience with large-scale distributed training and/or multi-GPU/cloud infrastructure (e.g., Ray, FSDP, DeepSpeed, TPU).
  • Passionate about developing scalable, efficient, and well-documented software.
  • Hands-on experience with LLMs (e.g., in-context strategies or finetuning) and agent-based systems is a plus.
  • Prior experience in drug discovery and biomedical AI is not required but is a plus.
  • Strong communication and collaboration skills with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
  • Take full ownership of challenges from start to finish and proactively acquire any necessary knowledge to drive solutions forward.

"Avenue Code discloses salary range information based on our commitment to fairness and transparency. We consider a wide range of factors such as internal equity, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, business or organizational needs, and others. At Avenue Code, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for a AI Engineer is from CAD100k to CAD120k per year."

Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code's consultants are allocated to perform its services.

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