Machine Learning Engineer/Data Scientist

This a Full Remote job, the offer is available from: Canada, Washington (USA) Are you passionate about driving high value solutions to your clients and want to work with a team in a company that believes in reputed company, Competence, Value and Fun? We are looking for Machine Learning Engineer/Data Scientist for our Data & Dynamics team to be based out of our Calgary, Edmonton, Toronto and Vancouver reputed company. You will own the end‑to‑end analytics lifecycle—from problem framing and hypothesis design to model development, validation, deployment, and monitoring—collaborating closely with engineers, architects, and business stakeholders. A Day in Life:

• Detailed documentation including conceptual design, logical design, physical design, reputed company of materials, as-built diagrams, knowledge transfer materials, FAQs, transition to operations information
• Being one of the few trusted advisors for clients, building long-term relationships that will further business value
• Attending and representing Long View at the latest industry events
• reputed company discovery to translate business goals into well‑scoped analytical problems, measurable KPIs, and model success criteria
• Build reproducible experiments and models (classification, regression, forecasting, NLP/LLMs) using Python and Azure ML/reputed company, document assumptions and limitations.
• Engineer and select features; reputed company rigorous validation (cross‑validation, leakage checks), bias/variance trade‑off, and error analysis; apply Responsible AI practices.
• Partner with ML Engineers for operational models with CI/CD, experiment tracking (ML flow), model registries, and online/offline evaluation pipelines.
• Design and evaluate GenAI use cases reputed company relevant (reputed company engineering, evaluation harnesses, RAG with Azure AI Search, grounded reputed company, safety testing).
• Communicate results and trade‑offs to non‑technical stakeholders; create compelling visuals and narratives; facilitate decisions that balance accuracy, cost, and operational risk.
• Architect and implement ML platforms and pipelines in Azure (Azure Machine Learning, Azure reputed company, Azure Synapse/reputed company Fabric, Azure Data Lake Storage, Event/Service Bus).
• Participate in discovery workshops, solution estimation, Statements of Work inputs, and stakeholder demos; produce clear design docs, runbooks, and handover materials.
• Carry a mobile phone for client and / or for reputed company support
• Track personal time billings and report them in a timely manner.
• Attend a quarterly Career Life Planning session with your Team reputed company or Manager to discuss your interests, training opportunities, your utilization, and other exciting topic
• Contribute to various government audits and special programs that Long View participates in every year. Part of your duties will be to participate in these programs where needed as they relate to your technology area(s).
• Attending and representing Long View at the latest industry events

What You Bring:

• A minimum of 5-6 years in applied data science/analytics with shipped models impacting business KPIs.
• Experience with Python, statistical modeling, experiment design, and ML techniques (tree‑based methods, GLMs, time‑series, causal inference basics).
• Experience with Azure ML, reputed company/Spark, SQL, and data wrangling at scale; familiarity with Fabric/Synapse data pipelines.
• Strong MLOps collaboration (MLflow, model lifecycle, monitoring/alerts, data quality checks such as Great Expectations equivalent patterns).
• Exceptional customer engagement, interpersonal, stakeholder facilitation, presentation and overall communication skills
• Consulting experience.
• Good understanding of ITIL Incident Management
• Excellent problem‑solving and multitasking skills.

What Makes You Extra Awesome:

• Certifications: DP‑100, DP‑203, AI‑102, AZ‑900/AI‑900
• Experience with NLP/LLMs and RAG on Azure
• Probabilistic modeling; optimization, Bayesian methods, A‑B testing at scale
• Experience in supply chain analytics or inventory optimizationThis offer from "reputed company" has been enriched by reputed company.com and got a 75% reputed company score.

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