1 to 25 of 34 Dask Jobs

expertise in some of the following: Python, SQL, Scala, and Java for data engineering. Strong experience with big data tools (Apache Spark, Hadoop, Databricks, Dask) and cloud platforms (AWS, Azure, GCP). Proficient in data modelling (relational, NoSQL, dimensional) and DevOps automation (Docker, Kubernetes, Terraform, CI/CD). Skilled More ❯

AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models More ❯

accountability, and communication skills. Bonus Points For: Experience leading projects in SCIF environments. Expertise in Cyber Analytics, PCAP, or network monitoring. Familiarity with Spark, Dask, Snowpark, Kafka, or task schedulers like Airflow and Celery. More ❯

AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models More ❯

AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models More ❯

AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models More ❯

AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models More ❯

data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML More ❯

AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models More ❯

data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML More ❯

leading project development efforts from a SCIF. Familiarity with cybersecurity analytics, including PCAP, CVEs, and network monitoring. Experience integrating with technologies such as Spark, Dask, Snowpark, or Kafka. Background in web application stacks (e.g., Flask, Django) or task schedulers (e.g., Airflow, Celery, Prefect). Compensation & Benefits: Competitive salary, equity, and More ❯

development practices. Knowledge of Apache Spark and similar programming to support streaming data. Experience with some of the following Python libraries: NumPy, Pandas, PySpark, Dask, Apache Airflow, Luigi, SQLAlchemy, Great Expectations, Petl, Boto3, matplotlib, dbutils, koalas, OpenPyXL, XlsxWriter. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack, Splunk More ❯

data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models More ❯

mentoring junior team members and managing projects Experience building web applications using modern frameworks like React Proficient with distributed computing technologies such as Spark, Dask, Kubernetes, Redis Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing Strong understanding of financial markets and More ❯

years of experience in designing, developing and deploying production-level deep learning recommendation models with a proven business impact. Fluency in Python, Pandas/Dask, SQL, PyTorch or Tensorflow. Ability to write readable and maintainable code. Strong communication and storytelling skills with both technical and non-technical audiences. Ability to More ❯

Azure/GCP and AWS. Experience in automation of performance testing. Data environments exposure is a plus (Airflow, EMR, SageMaker, Ray, Tensorflow, MLflow, Kubeflow, Dask). Working conditions: Occasional out of hour's conferencing with overseas colleagues. Occasional out of hours or weekend work. A workplace that supports & role models More ❯

cases. Proficient in one of the deep learning stacks such as PyTorch or Tensorflow. Working knowledge of parallelisation and async paradigms in Python, Spark, Dask, Apache Ray. An awareness and interest in economic, financial and general business concepts and terminology. Excellent written and verbal command of English. Strong problem-solving More ❯

with Python, AWS, Step functions, Lambda. • In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. • Experience with front-end development using HTML, CSS, and JavaScript. • Familiarity with database technologies such as SQL and More ❯

of Python, R, and Java. Experience scaling machine learning on data and compute grids. Proficiency with Kubernetes, Docker, Linux, and cloud computing. Experience with Dask, Airflow, and MLflow. MLOps, CI, Git, and Agile processes. Why you do not want to miss this career opportunity? We are a mission-driven firm More ❯

principles, bias mitigation techniques, and responsible AI practices. - Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Apache Spark, Dask). - Strong problem-solving, analytical, and critical thinking skills. - Strong communication, collaboration, and leadership skills. Our inclusive culture empowers Amazonians to deliver the best results More ❯

or Prefect. Strong cloud data engineering. AWS preferred. PLUSES: Exposure to data pipeline automation using DevOps, CI/CD. Snowflake Docker/Kubernetes Spark, Dask, Kubeflow, Airflow More ❯

ML infrastructure. Proficiency in Python (NumPy, PyTorch, TensorFlow). Experience with systems programming in Rust, C++, or Go. Familiarity with distributed frameworks (Ray, Spark, Dask, or Kubernetes). Strong knowledge of cloud platforms (AWS or GCP). Experience building or optimizing training, inference, or data workflows. Hands-on experience shipping More ❯

ML models into production environments, including both batch and real-time/streaming contexts Proficiency working with distributed computing frameworks such as Apache Spark , Dask, or similar Experience with cloud-native ML deployment , particularly on AWS , using services like ECS, EKS, Fargate, Lambda, S3, and more Familiarity with orchestration and More ❯

/CD, and modern development workflows Solid understanding of data structures, algorithms, and performance tuning Nice-to-Have: Experience with distributed computing frameworks (e.g. Dask, Spark) Exposure to cloud platforms (AWS, GCP, Azure) Familiarity with SQL and relational databases Experience working in agile environments More ❯

Corp Python Developer (2 Positions) Must haves: 6+ years of experience Strong Python Software development experience. Skilled in Python (NumPy, Pandas, scikit-learn, Dash, Dask, Flask, Boto3, etc.) Experience optimizing API's and performance tuning Python code Strong SQL expertise along with experience fine tuning SQL queries. Experience building & supporting More ❯