{"id":3268486,"url":"https://alion.io/job/dataperformers-ai-research-engineer","title":"AI Research Engineer","company":{"id":4453416,"name":"Dataperformers","domain":"dataperformers.com","url":"https://alion.io/company/dataperformers","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":72000,"max":138000,"currency":"CAD","period":"year","gross":null,"usd_annual":98569},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"Accelerate","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"DeepSpeed","optional":false},{"name":"DPO","optional":false},{"name":"Fine-tuning","optional":false},{"name":"FSDP","optional":false},{"name":"GCP","optional":false},{"name":"GRPO","optional":false},{"name":"Hugging Face","optional":false},{"name":"JAX","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"PPO","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"RLAIF","optional":false},{"name":"RLHF","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"TRL","optional":false},{"name":"vLLM","optional":false},{"name":"Weights & Biases","optional":false}],"status":"live","first_seen_at":"2026-10-26T10:34:20Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-31T07:53:16Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Type: Permanent\nWork Model: Hybrid\nReference code: 130069\nPrimary Location: Toronto, ON\nAll Available Locations: Toronto, ON; Brossard, QC; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Laval, QC; Moncton, NB; Montreal, QC; Ottawa, ON; Quebec City, QC; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB\nOur Purpose\nAt Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.\nBy living our Purpose, we will make an impact that matters.\nHave many careers in one Firm.\nEnjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.\nLearn from deep subject matter experts through mentoring and on the job coaching\n--\nWe are looking for a passionate AI Research Engineer to join our team. You will work at the intersection of cutting-edge AI research and product engineering-designing, evaluating, and deploying generative AI (GenAI) systems that are both reliable and impactful. This role blends fundamental research, model evaluation, and practical software engineering to push forward the next generation of intelligent applications.\nWhat will your typical day look like?\nResponsibilities\nCollaborate with product managers, engineers, and stakeholders to design AI-driven solutions that meet technical and business requirements.\nResearch, prototype, and develop generative AI applications by combining non-deterministic LLMs with deterministic software engineering techniques.\nBuild evaluation frameworks and benchmarks to measure model quality, reliability, and business impact.\nGenerate regular reports on model accuracy, drift, and performance.\nDebug, optimize, and enhance GenAI applications using prompt engineering, reinforcement learning, fine-tuning, and software engineering best practices.\nTrain and fine-tune large language models using Hugging Face Transformers.\nApply reinforcement learning fine-tuning techniques using Hugging Face TRL (Transformers Reinforcement Learning).\nManage training workflows with experiment tracking tools and distributed training accelerators (DeepSpeed, Accelerate, FSDP).\nRun and optimize multi-GPU training and inference, leveraging vLLM for high-throughput, low-latency serving.\nContribute to the design of scalable MLOps/DevOps pipelines for model deployment, monitoring, and continuous training.\nEnsure compliance with data privacy, security, and responsible AI guidelines when handling training or test datasets.\nStay current with emerging research in LLMs, RLHF/RLAIF, multimodal AI, and generative models; apply findings to improve our systems.\nAuthor technical documentation and contribute to publications, patents, or open-source projects where applicable.\nAbout the team\nDeloitte AI and Data, Deloitte's Artificial Intelligence (Al) practice is comprised of Al/ML experts with hands-on experience in developing and deploying Al/ML solutions to create competitive advantage for the Canadian businesses as part of their overall Data and Al/ML transformations journey. AI and Data Data Science team works together with Canadian businesses to envision and craft the solutions that drive automation, optimization, efficiency and many cases new opportunities with being mindful of driving responsible and transparent Al. We strive for empowering our clients' organization to become data and insight driven organizations with Al/ML first mindset to produce tangible business outcomes.\nEnough about us, let’s talk about you\nYou are someone with these required skills, experience and qualifications:\n3+ years experience in machine learning engineering, data engineering, or applied research (industry or academic). \nStrong programming skills in Python and experience with frameworks such as PyTorch, TensorFlow, JAX. \nHands-on experience with Hugging Face Transformers for pretraining, fine-tuning, or inference. \nExperience with Hugging Face TRL for reinforcement learning fine-tuning (e.g., PPO, DPO, GRPO, RLAIF). \nPractical experience managing multi-GPU training and distributed training at scale using DeepSpeed, Accelerate, or FSDP. \nExperience running inference on large models using vLLM or similar optimized serving frameworks. \nFamiliarity with experiment tracking and reproducibility tools (e.g., W&B, MLflow). \nKnowledge of MLOps practices including continuous training, continuous monitoring, and model lifecycle management. \nExperience with GenAI frameworks such as LangChain, AutoGen (A2A), or MCP. \nDemonstrated ability to write clean, maintainable, production-ready code. \nExperience building or supporting cloud-based AI systems (GCP, AWS, or Azure; certifications preferred). \nStrong grasp of reinforcement learning, NLP, and/or generative modeling (transformers, diffusion, RAG, etc.). \nTrack record of research contributions (papers, patents, open-source projects) is a plus. \nPreferred Tech Stack\nCandidates with experience in the following tools and frameworks will be strongly preferred:\nTransformers (Hugging Face) for model training, fine-tuning, and inference \nTRL (Transformers Reinforcement Learning) for RL-based fine-tuning (PPO, DPO, GRPO, RLAIF) \nDeepSpeed, Accelerate, or FSDP for multi-GPU and distributed training \nvLLM for optimized inference and serving of large models \nWeights & Biases (W&B) or MLflow for experiment tracking and reproducibility \nLangChain, AutoGen (A2A), or MCP for GenAI application development \nPyTorch as the primary deep learning framework \nIt would be great for you to have some of these nice to haves as well:\nExperience with reinforcement learning from human/AI feedback (RLHF/RLAIF). \nContributions to open-source AI frameworks. \nFamiliarity with scaling laws, evaluation metrics, and benchmarking large models. \nInterest in pushing the boundaries of trustworthy, explainable, and safe AI.\nTotal Rewards\nThe salary range for this position is $72,000 - $138,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.\nOur Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as \"Deloitte Days\", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.\nOur promise to our people: Deloitte is where potential comes to life.\nBe yourself, and more.\nWe are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.\nYou shape how we make impact.\nDiverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.\nBe the leader you want to be\nSome guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.\nHave as many careers as you want.\nWe are uniquely able to offer you new challenges and roles - and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.\nThe next step is yours\nAt Deloitte, we are all about doing business inclusively - that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.\nWe encourage you to connect with us at  if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or  for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).\nWhen you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.\nDeloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.","description_format":"text","description_chars":10721,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Hybrid work"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-26T10:34:20Z"}],"visa":[],"liveness":{"score":32,"band":"fade","label":"Fading","p_open":1,"p_active":0.706,"p_room":0.45,"age_days":4,"expected_fill_days":3,"reasons":["conf:2","velocity","win:tail","comp:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":98569,"is_top_pay":false},"html_url":"https://alion.io/job/dataperformers-ai-research-engineer","json_url":"https://alion.io/job/dataperformers-ai-research-engineer.json","meta":{"generated_at":"2026-10-31T16:56:42Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":26480,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4453416},"rest":"https://alion.io/mcp/rest/get_company?id=4453416"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdataperformers-ai-research-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdataperformers-ai-research-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdataperformers-ai-research-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/dataperformers-ai-research-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdataperformers-ai-research-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3268486}},{"tool":"search_jobs","arguments":{"company":"dataperformers.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3268486},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}