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Senior Data/ML Engineer (AWS)
New York or United States
RemoteFull Time, Contract
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
6d
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Senior ML/Data Engineer
New York, New York, United States
$158k-$259k/yr OnsiteFull Time
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.
Python, Golang, SQL, AWS, ECS, EC2, Lambda, SNS, SQS, GraphQL, REST, gRPC, Postgres, Mongo
1mo
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General Application — Data & AI/ML Engineering
New York or United States
HybridFull Time
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.
Python, SQL, Spark, dbt, Airflow, AWS, GCP, Azure, Docker, Kubernetes
2mo
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Principal AI/ML Engineer, Semantic Data
New York, New York, United States
$235k-$260k/yr HybridFull Time
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.
Python, SQL, LLMs, Vector Databases, Graph Databases, Distributed Systems, Knowledge Graphs, Ontologies
1mo
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Data Scientist / ML Engineer
New York, New York, United States
RemoteFull Time
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.
Python, pandas, scikit-learn, PyTorch, TensorFlow, SQL, AWS, GCP, Azure, MLOps
1d
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ML Growth Engineer
New York or Europe or North America or South America
RemoteFull Time
7+ YOE7+ years software engineering experience with expert Python and ML/AI production experience, LLMs, Docker and CI/CD, YOLO knowledge, strong data science and communication skills.
Python, YOLO, Docker, CI/CD, Large Language Models (LLMs)
1mo
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AI & ML Engineer
New York City, New York, United States
$225k-$300k/yr OnsiteFull Time
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.
2w
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AI/ML Engineer, Data Scientist
New York City or Raleigh-Durham or Atlanta or Philadelphia or United States
$150k-$300k/yr HybridFull Time
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.
Python, PyTorch, TensorFlow, Keras, scikit-learn, SQL, Spark, Airflow, Kedro, ZenML, Flyte, dbt
2w
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Director Applied AI / ML Engineer
Jersey City, New Jersey, United States
$126k-$255k/yr OnsiteFull Time
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
2mo
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Senior ML Infrastructure Engineer
New York City, New York, United States
$180k-$230k/yr OnsiteFull Time
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.
Spark, Databricks, SQL, PySpark, Python, Git
2mo
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ML Engineer - Experimentation, Portal
Cupertino or New York City
OnsiteFull Time
3+ YOE3+ years full-stack development with React/TypeScript; strong UI/data viz; ML workflows; A/B testing; SQL; observability tools.
Docker, AWS, Splunk, DataDog, React, TypeScript, D3.js, Chart.js, Java, Spring Boot, Python, PostgreSQL
1mo
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Lead Software Engineer - ML Data Systems
New York City or Glendale
$156k-$214k/yr HybridFull Time
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.
Spark, Flink, Beam, Kafka Streams, SQL, Databricks, Snowflake, Apache Airflow, Python, Java, Scala, MLflow, TFX, Kubeflow, dbt, Kafka, AWS, AWS SQS, Kubernetes
2mo
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Senior Quant/ML Engineer - Fixed Income - Artificial Intelligence
New York, New York, United States
OnsiteFull Time
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.
Python, R, SQL, TensorFlow, PyTorch, Scala
3w
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Foundational Data Engineer
New York City or London or Palo Alto or Copenhagen or Seoul
$275k-$340k/yr HybridFull Time
Own end-to-end data pipelines for synthetic and mined training data, negotiate customer data access, ensure data quality and lineage, partner with ML and verification teams, and manage a growing data engineering team.
SystemVerilog, Verilog, UVM
4d
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King's AI/ML & Data Science Talent Pool
Stockholm or Berlin or London or Barcelona or Malmö or Dublin or San Francisco or New York City or Los Angeles or Malta
OnsiteFull Time
Open talent pool for candidates across AI, machine learning, data science and analytics; looks for experience with modeling, experimentation, production ML and collaboration with product and engineering.
Python, SQL, Spark, PyTorch, TensorFlow, scikit-learn
2mo
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Senior ML Operations Engineer
San Francisco or Chicago or Scottsdale or New York
$118k-$203k/yr HybridFull Time
5+ YOEBachelor's in CS/Engineering; 5+ years in Data Science/ML/Ops; Python; AWS; Docker/Kubernetes; MLflow/Kubeflow; real-time model deployment; strong data/compute systems knowledge.
Python, AWS, Docker, Kubernetes, MLflow, Kubeflow
1mo
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Senior Data Engineer
United States or Canada or New York City or Los Angeles
$186k-$222k/yr RemoteFull Time
7+ YOE7+ years production data engineering with Python, Airflow, dbt, AWS (EC2, S3, Lambda, EKS), Snowflake; experience building production AI/LLM systems, RAG/agentic workflows, ML pipeline operationalization, and cross-functional collaboration.
Python, Airflow, dbt, AWS EC2, AWS S3, AWS Lambda, AWS EKS, Snowflake, MCP servers
1mo
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Senior Data Engineer
San Francisco or New York City
HybridFull Time
8+ YOE8+ years building production data platforms, expertise in batch and streaming pipelines, data modeling, ETL/ELT, reliability, observability, and privacy-safe foundations for AI/ML.
2d
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Lead Data Engineer – Vice President
Jersey City, New Jersey, United States
$142k-$213k/yr HybridFull Time
6+ YOE3+ Mgmt6+ years data engineering experience with 3+ years technical lead experience; expert Python and SQL; experience with big data, streaming, feature stores, metadata, and data quality for ML/AI production.
Python, SQL, Apache Iceberg, Starburst, Startree/Apache Pinot, Apache Kafka, Apache Flink, Delta Lake, Apache Hudi, Hive, HDFS, Apache Airflow, Databricks, Java, Milvus, Pinecone, Qdrant, Chroma, Docker, Kubernetes, Terraform
1mo
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Founding ML/Data Product Lead
San Francisco or New York City or United States
$205k-$275k/yr RemoteFull Time
Proven experience shipping user-facing ML products and taking models from prototype to production; deep technical foundation in software engineering or data science; strong analytical and experimental mindset; startup experience.
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