150 ml data engineer jobs at 86 companies in Lockport, NY
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
$110k-$150k/yrRemoteMultiple Commitments Available
Levio: Delivers digital transformation consulting and enterprise software engineering services
6+ YOEBachelor’s or Master’s in CS/Engineering/Data Science; 6+ years engineering experience, 3+ in AI/ML; strong Python and ML frameworks; production ML deployment experience; AWS SageMaker experience; data pipelines and model lifecycle knowledge.
Toronto or Minneapolis or Canada or North America or Europe or Africa or Asia
$129k-$231k/yrOnsiteFull Time
DayforceNYSE: DAY: Cloud platform providing global human capital and payroll management.
4+ YOE4+ years ML/Data Science experience, 2+ years MLOps, advanced SQL and Spark/PySpark, Python and ML frameworks (PyTorch, TensorFlow, MLFlow), model deployment, data transformation, and strong collaboration and communication skills. English required.
Royal Bank of CanadaTSX: RY: Provides personal, commercial, and investment banking services worldwide.
Bachelor's in CS or related plus experience in data/software/ML engineering, strong SQL/NoSQL, production-grade coding, data modeling, CI/CD, dataops/mlops, and collaboration skills.
SQL, NoSQL, CI/CD, Machine Learning (ML), Big Data Analytics
Toronto or Minneapolis or Canada or North America or Europe or Africa or Asia or Australia
$129k-$231k/yrOnsiteFull Time
Dayforce: Provides cloud-based human capital management and payroll software solutions.
4+ YOE4+ years ML/Data Science experience, 2+ years MLOps, advanced Python, SQL, Spark/PySpark, PyTorch/TensorFlow, MLflow, experience with transformer models, data cleaning/transformation, debugging, and strong communication; English required.
ScotiabankToronto Stock Exchange: BNS: Provides global personal, commercial, and investment banking services.
12+ YOE12+ years data engineering experience (8+ designing data platforms), technical leadership, cloud (GCP/AWS/Azure), data warehousing, pipeline design for analytics and ML, CI/CD/DevOps familiarity, security and vendor experience.
Movable Ink: Provides AI-powered content personalization for digital marketing campaigns.
5+ YOE5+ years data engineering experience; deep expertise with Apache Spark and PySpark, GCP Dataproc, Python, Parquet/Delta Lake, Kafka; cluster tuning, large-scale data processing, and collaboration with ML teams.
Apache Spark, PySpark DataFrame API, GCP Dataproc, Google Cloud Platform, Python, Parquet, Delta Lake, Kafka, Docker, Kubernetes, GitHub Actions, Git
CDM Smith: Provides engineering and construction services for infrastructure projects.
2+ YOEBachelor's degree or equivalent, 2 years relevant experience, strong Python skills, experience with ML/deep learning toolkits, SQL and data libraries, familiarity with cloud (GCP), MLOps/Docker, Agile, and strong communication.
HuronNasdaq: HURN: Professional services firm providing management consulting and digital transformation.
3+ YOE3+ years AI/ML development experience, Bachelor’s in CS/Engineering/Data Science, proficiency in Python, familiarity with scikit-learn/PyTorch/TensorFlow/OpenAI APIs, cloud platforms (Azure, AWS) and Docker, API development experience (FastAPI/Flask).
Connor, Clark & Lunn Financial Group: Independent asset management firm providing traditional and alternative investment strategies.
5+ YOEExperience building scalable data pipelines for structured and unstructured data; SQL and Python; Airflow/Prefect/Dagster; cloud platforms; data governance; AI/ML integration.
TD BankToronto Stock Exchange: TD: Provide retail, commercial, and wholesale banking and financial services.
10+ YOE5+ Mgmt10+ years in data science/AI/ML and finance/treasury/risk, 5+ years leading teams; expertise in treasury concepts, model risk governance, production ML delivery, Databricks and Azure tooling.
Databricks, SQL, Spark, Delta, Unity Catalog, Azure, ADLS, AKS, ADF, feature stores, model registry, ML tooling, monitoring
New York City or Toronto or United States or Canada
$195k-$245k/yrRemoteFull Time, Contract
FutureFit AI: Provides AI-powered career navigation and workforce development software solutions.
Senior MLOps/data engineering experience with strong systems design, hands-on implementation of production data pipelines and ML workflows, fluency with modern data/ML stack and cloud infrastructure (SQL, Python, Airflow, dbt, AWS).
Forum Asset Management: Invests in, develops, and manages real estate and infrastructure assets.
2+ YOE2-3 years experience in software/data engineering; experience with Microsoft Azure/Fabric, ETL/ELT, Python, big data pipelines, AI/ML and data lifecycle management.
Microsoft Fabric, Azure Data Factory (ADF), Synapse, ADLS Gen2, Power BI, Python, Azure OpenAI, Document Intelligence, Azure ML
Ideogram: Generative AI platform for professional graphic design and typography.
2+ YOE2+ years building large-scale distributed systems, strong fundamentals in data structures, algorithms, databases, and large-scale data processing; experience with Python, Kubernetes, GCP, and related data infra is helpful.
Python, Kubernetes, GCP, Google Bigtable, Google BigQuery, Google Spanner, Google Pub/Sub, Docker, Terraform, TPU infrastructure
BrazeNASDAQ: BRZE: Platform for personalized customer engagement and cross-channel messaging.
3+ YOE3–5+ years in data science or ML engineering; strong Python (Pandas) and ML libraries; SQL experience; experience deploying ML pipelines; Bachelor's in CS/Data Science/Math/Engineering; Masters/PhD preferred.
Senior Machine Learning Engineer — Data Infrastructure
Toronto or Zürich or California
HybridFull Time
Veeda AI: Building multimodal foundation world models for physical AI.
5+ YOE5+ years in data engineering or similar with distributed systems, production ingestion at scale, Python and SQL proficiency, ETL/ELT for ML, cloud object storage experience, and experience with data-processing frameworks.
Borrowell: Provides credit monitoring and financial product recommendations for Canadians.
2+ YOE2+ years applying data science/ML to business problems; strong Python and SQL; experience building predictive models, feature engineering, model validation, experimentation/A-B testing; strong communication and stakeholder partnership.