{"id":3178512,"url":"https://alion.io/job/quantiphi-associate-technical-architect-ml-2","title":"Associate Technical Architect - ML","company":{"id":6155,"name":"Quantiphi","domain":"quantiphi.com","url":"https://alion.io/company/quantiphi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":72,"open_postings":67,"ghost_share":0.463,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":72000,"max_usd":196000,"period":"year","method":"global_role_seniority_cell","sample_n":605},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"BERT","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Interpretability","optional":false},{"name":"Kubeflow","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenSearch","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Transformers","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-23T17:31:34Z","employer_posted_date":null,"last_verified_at":"2026-10-23T17:31:34Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.\n\nIf working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!\nAbout Quantiphi:Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.\nSince our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.\nHeadquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters.\nWe are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:\n\n21 Google Cloud Partner of the Year awards in the past 10 years\n\n3 AWS AI/ML Partner of the Year awards\n\n3 NVIDIA Partner of the Year awards\n\n3 Snowflake Partner of the Year awards\n\nRated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms\n\nQuantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.\nWe are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.\nFor more details, visit: Websiteor LinkedIn Page\nRole:Architect - Machine Learning\nExperience Level: 8+ years\nEmployment type: Full Time\nLocation: Remote (Canada)\nWhat you will do:As an Architect, Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. You will work on optimizing and deploying these models on AWS infrastructure, ensuring scalability and reliability.\nBasic Qualifications (BQ):\n8+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.\n\nHands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs.\n\nGood Experience developing applications using LLMs with Langchain.\n\nMust have experience using GenAI frameworks such as vertexAI, OpenAI, AWS Bedrock.\n\nMust have Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI), specifically LLama2.\n\nMust have Hands-on experience working with (Retrieval Augmented Generation) RAG architecture and experience using vector indexing such as Opensearch, Elasticsearch.\n\nStrong familiarity with higher-level trends in LLMs and open-source platforms.\n\nShould have experience with Deep Learning Concepts. [redacted]\n Engineer prompts and optimize few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations.\n\nModel Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration.\n\nResponse Quality: Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app.\n\nImplement and manage MLOps principles and best practices for Gen AI models\n\nThorough understanding of NLP techniques for text representation and modeling\n\nAble to effectively design software architecture as required\n\nExperience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks\n\nAbility to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc.\n\nAbility to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.\n\nWhat is in it for you:\nJoin one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.\n\nLead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.\n\nWork with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.\n\nStay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.\n\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!\nOriginally posted on Himalayas","description_format":"text","description_chars":5342,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Document AI","Cloud Consulting & Migration","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-10-23T20:28:45Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 46","filings_12m":46,"filings_prev_12m":49,"green_card_filings_12m":0,"median_offered_wage_usd":122500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":25},{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; 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