450 ml data engineer jobs at 261 companies in Suffern, NY
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Senior Data/ML Engineer (AWS)
New York or United States
RemoteFull Time, Contract
Capstone Integrated Solutions: Provides software engineering and cloud transformation for retailers.
5+ YOE5+ years data/ML engineering experience (2+ years in AWS); strong Python and SQL skills; hands-on experience with AWS data services, SageMaker, Bedrock, entity resolution, data modeling, MLOps, and cloud migrations.
Python, SQL, Amazon S3, AWS Glue, AWS Glue ETL, AWS Glue Data Catalog, Amazon Kinesis, AWS Data Pipeline, AWS Step Functions, Amazon Athena, Amazon QuickSight, Amazon SageMaker, Amazon Bedrock, Kiro CLI, Amazon Entity Resolution, AWS DataSync, AWS Lake Formation, AWS Lambda, Amazon API Gateway, CDP, Microsoft Azure Data Lake, Microsoft Azure Data Factory, Microsoft Azure Synapse
CatapultASX: CAT: Develops wearable tracking technology and video analytics for sports.
5+ YOE5+ years production data engineering with time-series, feature stores, streaming ingestion, graph databases, tenant isolation; strong Python, Golang, and SQL; experience with model calibration and evaluation frameworks.
System: AI-powered platform to relate and visualize complex scientific literature.
4+ YOE4+ years in data or ML engineering, strong Python and SQL, experience with Spark/dbt/Airflow, cloud data infrastructure (AWS/GCP/Azure), ML lifecycle and systems design; Bachelor's/Master's in CS/Engineering preferred.
Major League Soccer: Professional men's soccer league in the United States and Canada.
8+ YOEExtensive experience in ML engineering, data systems, semantic data modeling, embeddings, retrieval systems, and LLM-based applications; strong Python, SQL; on-prem GPU deployment.
Themis: Provides a compliance collaboration platform for financial institutions.
Strong ML and statistics foundation; proficiency in Python, SQL, and common ML libraries; experience taking models to production; experiment design and clear communication to non-technical stakeholders.
Coral AI: Agentic automation platform for healthcare administrative workflows.
3+ YOE3–9 years ML engineering/research; OCR/NLP/document processing/speech exp; Python with TensorFlow/PyTorch; DL architectures; cloud & deployment; data analysis; strong communication; on-site in Bengaluru or NYC.
Python, TensorFlow, PyTorch, AWS, GCP, Azure, Docker, Kubernetes, Tesseract, Google Vision API
Sandstone: AI-native platform for in-house legal departments.
4+ YOE4+ years applied AI/ML or related engineering experience; experience shipping LLM-powered products (retrieval, agents, document understanding); strong software fundamentals, data pipeline and API experience; strong communication and product judgment.
Anthelion Capital: AI-powered investment firm specializing in private credit and data science.
3+ YOE3+ years in data engineering or ML infrastructure; Python and SQL; orchestration tools (Prefect/Airflow/Dagster); Docker/Kubernetes; cloud (Azure preferred); model serving; monitoring; strong documentation.
New York City or Raleigh-Durham or Atlanta or Philadelphia or United States
$150k-$300k/yrHybridFull Time
Sciemo: AI-powered business planning platform for consumer brands.
Proven track record launching ML products to production; expertise in ML systems, GenAI, agents, and graph models; production-grade Python and orchestration experience; strong communication and problem-solving.
Fidelity Investments: Provides investment management, retirement planning, and brokerage services.
Hands-on ML engineering experience building document parsing, embedding pipelines, semantic search, RAG, and production AI systems; familiarity with vector DBs and OCR; ability to collaborate with data engineering and mentor junior engineers. No visa sponsorship.
Pinecone, Weaviate, Milvus, pgvector, Elasticsearch, LangChain, LlamaIndex, Hugging Face
Mountain View or New York City or Los Angeles or Dallas or Miami or Chicago or Seattle or North America
RemoteFull Time
Cognify Analytics: A technology delivering AI and ML solutions.
3+ YOE3–5 years in ML engineering; strong Python; TensorFlow/PyTorch/scikit-learn; production ML pipelines; MLOps; cloud platforms; SQL; Docker/Kubernetes; REST APIs.
Artemis: Develops AI-powered cybersecurity software for automated threat detection and defense.
Experience training, deploying, and monitoring ML models; optimizing generative AI; building statistical models; feature engineering; debugging model degradations; handling complex data for LLMs.
Arlo: AI-powered health insurance platform providing level-funded plans for businesses.
5+ YOEExperience building scalable data pipelines; proficiency in Spark, Databricks, SQL, PySpark, Python; strong communication; ownership of end-to-end data systems; healthcare/insurance domain preferred.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
7+ YOE7+ years building production-grade data pipelines and distributed data systems; experience with streaming frameworks (Spark, Flink, Beam, Kafka Streams), SQL, cloud data platforms (AWS), Databricks, Snowflake, Airflow; proficiency in Python, Java, or Scala; Bachelor's/Master's in CS or related.
Booz Allen HamiltonNYSE: BAH: Consulting and technology services for government and commercial clients
Experience labeling/annotating data, performing quality checks, following detailed instructions, and collaborating with technical teams; bachelor’s degree and ability to obtain Secret clearance.
Senior Quant/ML Engineer - Fixed Income - Artificial Intelligence
New York, New York, United States
OnsiteFull Time
Bloomberg: Delivers financial data, news, and software to global markets.
3+ YOEPhD in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Machine Learning; 3+ years Fixed Income valuation experience; production ML/statistics experience; strong data analysis; programming skills; publications a plus.
Corebridge FinancialNYSE: CRBG: Provides life insurance and retirement products in the United States.
5+ YOE5+ years data engineering with 3+ years hands-on Snowflake; strong SQL, Python/Java; experience with Snowpark, Snowpipe, OpenFlow, Streamlit, AWS AI/ML; ETL/ELT and big data tooling; Bachelor's in a technical field preferred.
Iterative Health: Develops AI-driven precision medicine for gastrointestinal clinical research.
10+ YOE10+ years data engineering; healthcare data experience; multi-source data integration; AI/ML data pipelines; SQL plus one language; modern data stack knowledge; foundational data decisions.