quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Exceptional communication skills, able to engage confidently with non-technical stakeholders Experience resolving operational more »
in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine LearningDeep expertise in Python (production-level) and SQLProficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deploymentExceptional communication skills, able to engage confidently with non-technical stakeholdersExperience resolving operational or customer more »
and distributed systems Proficiency in statistical NLP algorithms, including transformers, graphical models, and information retrieval techniques Python and scientific computing packages (pytorch, numpy, scikit-learn, tensorflow) Database technologies including ElasticSearch, Neo4j, and SQL Excellent interpersonal, verbal, and written communication skills A flexible attitude with respect to work assignments more »
but general SQL knowledge more important) Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Delivering insights using visualisation tools or libraries (Javascript preferred) Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning more »
but general SQL knowledge more important)Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn)Delivering insights using visualisation tools or libraries (Javascript preferred)Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning more »
a related field. Experience in AI/Machine Learning research and development. Proficiency in Python. Experience with popular machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Experience with using NVIDIA GPUs for fine tuning AI models Strong mathematical and statistical background. Excellent problem-solving and critical-thinking skills. more »
Intelligence including ML and AI techniques to develop predictive models and enhance algorithmic strategies. Familiarity with libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularly useful. • Knowledge of risk management software and tools to monitor, measure, and manage the various types of financial risks faced more »
and Artificial Intelligence including ML and AItechniques to develop predictive models and enhance algorithmic strategies. Familiaritywith libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularlyuseful.• Knowledge of risk management software and tools to monitor, measure, and manage thevarious types of financial risks faced by the more »
techniques. Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikitlearn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices. You have experience with GitHub and with more »
as TensorFlow, PyTorch, or Keras. Proficiency in programming languages such as Python and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Solid understanding of quantitative finance concepts, including asset pricing, risk management, and portfolio optimization. Excellent problem-solving skills and the ability to more »
Proven experience in software development with a focus on AI/ML applications. Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Database development and use for machine learning and big data applications Education: A Bachelor of Science (BS) degree from an accredited college more »
Proven experience in software development with a focus on AI/ML applications. Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Database development and use for machine learning and big data applications Education: A Bachelor of Science (BS) degree from an accredited college more »
Proven experience in software development with a focus on AI/ML applications. Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Database development and use for machine learning and big data applications Education: A Bachelor of Science (BS) degree from an accredited college more »
Proven experience in software development with a focus on AI/ML applications. Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Database development and use for machine learning and big data applications Education: A Bachelor of Science (BS) degree from an accredited college more »
Proven experience in software development with a focus on AI/ML applications. Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Database development and use for machine learning and big data applications Education: A Bachelor of Science (BS) degree from an accredited college more »
Proven experience in software development with a focus on AI/ML applications. Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Database development and use for machine learning and big data applications Education: A Bachelor of Science (BS) degree from an accredited college more »
Proven experience in software development with a focus on AI/ML applications. Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Database development and use for machine learning and big data applications Education: A Bachelor of Science (BS) degree from an accredited college more »
Proven experience in software development with a focus on AI/ML applications. Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Database development and use for machine learning and big data applications Education: A Bachelor of Science (BS) degree from an accredited college more »
Proven experience in software development with a focus on AI/ML applications. Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Database development and use for machine learning and big data applications Education: A Bachelor of Science (BS) degree from an accredited college more »
Proven experience in software development with a focus on AI/ML applications. Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Database development and use for machine learning and big data applications Education: A Bachelor of Science (BS) degree from an accredited college more »
Proven experience in software development with a focus on AI/ML applications. Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Database development and use for machine learning and big data applications Education: A Bachelor of Science (BS) degree from an accredited college more »
Proven experience in software development with a focus on AI/ML applications. Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Database development and use for machine learning and big data applications Education: A Bachelor of Science (BS) degree from an accredited college more »
Proven experience in software development with a focus on AI/ML applications. Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Database development and use for machine learning and big data applications Education: A Bachelor of Science (BS) degree from an accredited college more »
Proven experience in software development with a focus on AI/ML applications. Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Database development and use for machine learning and big data applications Education: A Bachelor of Science (BS) degree from an accredited college more »
