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 »
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 »
a financial services or trading environment is highly preferred. Technical Expertise: Expert knowledge of Python and its popular libraries like NumPy, Pandas, SciPy, Scikit-learn, Statsmodels ,QuantLib ,Matplotlib, TensorFlow ,PyTorch ,Zipline and Dash. Proficient in systems that handle high-throughput, low-latency data. Experience with big data technologies 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 »
retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, ScikitLearn, and other relevant tools. Manage Azure DevOps, CI/CD pipelines, GitHub, and Kubernetes (AKS) for efficient software development and deployment. Implement ML more »
environment. Systems/Internal Processes Familiarity with programming languages such as Python, R or Java and with data analysis libraries (e.g. Pandas, NumPy, scikit-learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data mining and querying. Knowledge of Big Data Tools (Spark or 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 »
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 »
