Numpy Jobs

Find remote positions requiring Numpy skills. Browse through opportunities where you can utilize your expertise and grow your career.

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πŸ“ India

🧭 Full-Time

πŸ” SaaS-based Developer Skills Platform

🏒 Company: HackerRankπŸ‘₯ 100-500πŸ’° $60,000,000 Series D almost 3 years agoπŸ«‚ Last layoff over 1 year agoEmploymentService IndustrySkill AssessmentRecruiting

  • Minimum 4-5 years of experience as a business intelligence analyst, data analyst, or product analyst.
  • At least 2 years focused on feature metrics, A/B testing, conversion and retention analysis, and user personas.
  • Expert knowledge of SQL and MS Excel.
  • Intermediate scripting skills in Python using libraries like Pandas and Numpy.
  • Understanding of data modeling concepts and experience with data visualization tools like Looker.

  • Supporting PMs and Product Designers in delivering new or improved features for customer needs.
  • Assisting Product and Content marketing teams with data insights that reinforce the company's brand.
  • Designing and analyzing user journeys to enhance product activation, retention, and monetization.
  • Exploring large datasets to derive actionable insights.
  • Managing queries, analysis, and visualizations for various requests and projects.

PythonSQLNumpyPandasData visualizationData modelingA/B testing

Posted 10 days ago
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πŸ“ United States, Canada

🧭 Full-Time

πŸ’Έ 200000.0 - 250000.0 USD per year

πŸ” Mining, Mineral Exploration, Technology

🏒 Company: KoBold MetalsπŸ‘₯ 101-250πŸ’° $491,455,627 Series C 3 months agoArtificial Intelligence (AI)MineralMiningSoftware

  • At least 5 years of experience as a software engineer, data scientist, or ML engineer; ideally closer to 10 years.
  • 2+ years of experience managing technical teams in complex and multidisciplinary projects.
  • Proven record of building production-quality data processing solutions with tangible business value.
  • Proficiency in foundational ML concepts, including statistical methods and traditional/deep learning approaches.
  • Proficiency in Python, including array-based packages like xarray and numpy.
  • Experience in scaling data operations using tools like Spark or Dask.
  • Strong collaborative attitude across diverse team backgrounds.

  • Architect, implement, and maintain foundational data science models for distributed processing of large-scale geospatial data applicable to mineral exploration projects.
  • Build tooling for enhanced machine learning capabilities from remote sensing data in collaboration with the engineering team.
  • Improve current processing pipelines for lidar, high resolution imagery, and hyperspectral data.
  • Implement advanced analysis methods like spatially aware clustering and anomaly detection.
  • Collaborate with data scientists, geoscientists, and engineers to deploy algorithms that combine large data sets for exploration.

LeadershipPythonMachine LearningNumpyAlgorithmsData engineeringData scienceSpark

Posted 14 days ago
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πŸ“ Remote or State College, PA

πŸ” Weather services

🏒 Company: AccuWeather Careers

  • 3+ years of experience in applying machine learning and deep learning algorithms (CNNs, GANs, LSTMs, etc.).
  • A strong interest and passion for image processing, feature extraction, object detection and recognition, image classification, and motion analysis.
  • Experience with Python (especially Numpy, Pandas, and Scikit-learn) and the main deep learning frameworks (MLflow, TensorFlow, PyTorch, Keras, Jax, etc.).
  • Strong background in mathematics, including statistics and optimization.
  • High level of critical thinking and analysis to resolve complex challenges effectively.
  • Ability to make prompt, sound decisions faced with complex alternatives.
  • Self-driven with strong problem-solving skills and adaptability.
  • Strong verbal and written communication skills along with excellent collaboration abilities.

  • Build and train complex machine learning models leveraging AccuWeather’s extensive data archives towards the prediction of weather phenomena.
  • Regularly present model findings and verifications along with areas for further refinement.
  • Assemble large, complex data sets that align with business requirements, ensuring data integrity and quality.
  • Perform extraction, transformation, loading, and optimization of data from various sources.
  • Work closely with internal and external stakeholders including product and executive teams.
  • Deploy machine learning and deep learning models into production environments.

PythonData AnalysisImage ProcessingKerasMachine LearningMLFlowNumpyPyTorchPandasTensorflow

Posted 15 days ago
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πŸ“ United Kingdom, Singapore, Poland, Hong Kong, Japan

πŸ” Cryptocurrency exchange

🏒 Company: FreedX

  • Bachelor’s degree in mathematics, statistics, engineering, computer science, or a related quantitative field.
  • Basic proficiency in Python; experience with libraries like NumPy, pandas, or similar is a plus.
  • Strong analytical mindset with attention to detail and a passion for problem-solving.
  • Basic understanding of cryptocurrency markets and trading principles.
  • Willingness to learn and thrive in a fast-paced, dynamic environment.
  • Ability to collaborate effectively with team members and take direction from senior traders.

  • Assist in the development, testing, and execution of quantitative trading strategies for spot and perpetual futures markets.
  • Monitor market conditions, trading positions, and portfolio performance in real-time.
  • Perform statistical analysis on historical and live market data to identify opportunities and optimize strategies.
  • Collaborate with quantitative developers to improve trading infrastructure, tools, and analytics.
  • Support the team in monitoring trading risks and ensuring strategies align with the platform's risk management framework.
  • Execute and track trades, ensuring alignment with strategy objectives.
  • Stay updated on market trends, learn from senior traders, and continuously improve your quantitative and trading skills.

PythonData AnalysisNumpyPandasRisk Management

Posted 16 days ago
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πŸ“ Ukraine, Georgia, Philippines, Armenia, Turkey

πŸ” Healthcare

🏒 Company: InteticsπŸ‘₯ 501-1000IT Services and IT Consulting

  • Strong understanding of Python programming, including advanced features and libraries.
  • Experience with asynchronous programming (e.g., asyncio) for handling concurrent requests.
  • Familiarity with RESTful APIs for serving models using frameworks like Flask or FastAPI.
  • Skills in optimizing model inference speed and resource usage to handle high loads effectively.
  • Experience with batch processing, quantization, or GPU acceleration (CUDA).
  • Proficiency in data manipulation libraries such as Pandas and NumPy for preprocessing audio data.
  • Understanding of data pipelines for efficient loading and processing of large datasets.
  • Knowledge of concurrency models to manage multiple requests efficiently.
  • Familiarity with message queuing systems (e.g., RabbitMQ, Kafka) for high volumes of data.

  • Develop and optimize a multilayer, web-based healthcare platform.
  • Focus on building a microservice architecture.
  • Support numerous integrations with external web services and third-party applications.

PythonFlaskKafkaNumpyRabbitmqFastAPIPandas

Posted 18 days ago
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πŸ“ Pakistan

πŸ” AI/ML research

🏒 Company: CodeNinjaπŸ‘₯ 51-100E-CommerceMobile AppsSoftware

  • PhD in Math, Physics, Economics, or related field with a strong research background in AI/ML.
  • 5+ years of strong programming skills in Python, R, and AI/ML frameworks.
  • Knowledge of generative AI models, graph neural networks, or RAG models.
  • Research experience in AI applications relevant to security, risk, and BI.

  • Conduct research on cutting-edge AI/ML algorithms and techniques.
  • Collaborate with the engineering team to implement experimental AI methods into production.
  • Develop algorithms related to NLP, RAG, generative models, and knowledge graphs.
  • Continuously explore and validate new AI techniques for performance improvement.
  • Work with lead data scientist to define research goals aligned with the AI roadmap.

PythonArtificial IntelligenceData AnalysisMachine LearningNLTKNumpyPyTorchAlgorithmsTensorflow

Posted 19 days ago
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πŸ“ US

🧭 Full-Time

πŸ’Έ 189000.0 - 319700.0 USD per year

πŸ” Technology / Software

🏒 Company: DropboxπŸ‘₯ 1001-5000πŸ’° $600,000,000 Debt Financing almost 8 years agoπŸ«‚ Last layoff over 1 year agoPrivate CloudWeb HostingFile SharingEnterprise SoftwareCollaboration

  • BS, MS, or PhD in Computer Science, Mathematics, Statistics, or related field.
  • 8+ years of experience in engineering with 5+ years in Machine Learning or AI systems.
  • Strong industry experience with large-scale data.
  • Strong collaboration, analytical, and problem-solving skills.
  • Familiarity with Large Language Models.
  • Proven software engineering skills across multiple languages including Python, Go, C/C++.
  • Experience with Machine Learning tools and libraries like PyTorch, Scikit-learn, numpy, pandas.

  • Design, build, evaluate, deploy, and iterate on large-scale Machine Learning systems.
  • Understand the Machine Learning stack at Dropbox and help personalize users' experience.
  • Develop and maintain production-quality code for serving machine learning models at scale.
  • Collaborate with Product, Design, Infrastructure, and Frontend teams.
  • Contribute to the team’s technical strategy for the machine learning lifecycle.
  • Explore and integrate advancements in Search, LLMs, Recommender Systems, and Representation Learning.

PythonMachine LearningNumpyPyTorchC++GoPandas

Posted 20 days ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 221400.0 - 260000.0 USD per year

πŸ” Home care

  • Excellent communication skills with both technical and non-technical peers.
  • Excellent mathematical and statistical fundamentals, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience.
  • Strong product sense.
  • Wide-ranging professional experience solving complex business problems and shipping/maintaining Python in a production environment.
  • 7+ years of industry experience.
  • Expertise with numerical software packages such as NumPy, scikit-learn, etc.
  • Expertise in managing product ambiguity, seeking clarity when possible.
  • Foster an environment of end-to-end accountability for team projects, through planning, deployment, maintenance, and monitoring.

  • Leverage data to solve meaningful problems with appropriate complexity.
  • Collaborate with a diverse team across engineering, PM, and care operations to define a strategy and execute against it.
  • Research operational/logistical problems and proactively identify potential solutions.
  • Lead the design, implementation, and evaluation of descriptive and predictive models.
  • Integrate machine learning into user-facing applications.
  • Mentor and provide technical oversight on teammates' projects throughout the project lifecycle.

PythonData AnalysisMachine LearningNumpy

Posted 21 days ago
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πŸ“ Italy

🧭 Full-Time

πŸ” AI solutions for regulated industries

🏒 Company: iGeniusπŸ‘₯ 101-250πŸ’° $20,161,290 Series A over 2 years agoArtificial Intelligence (AI)Business IntelligenceAnalyticsInformation Technology

  • A Master’s Degree or PhD in quantitative fields, like Computer Science, Engineering, Stats, Math, or Physics.
  • At least 2 years of proven experience as a Machine Learning Engineer (or a PhD).
  • Understanding of the fundamentals of statistics and machine learning.
  • Knowledge in at least one applied machine learning field.
  • Superb Python programming skills and experience with data science libraries.
  • Experience with deep learning models using TensorFlow or PyTorch.
  • Knowledge of version control systems and container tools.

  • Work side-by-side with Developers, Designers, and Data Scientists to understand customers’ needs.
  • Propose insightful solutions and implement/test machine learning models as efficient services integrated into the product ecosystem.
  • Explore state-of-the-art Machine Learning research to improve current products and develop new ones.
  • Continuously improve your scientific and engineering skills while mentoring others.

DockerPythonSQLGitMachine LearningNumpyPyTorchPandasTensorflow

Posted 23 days ago
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πŸ“ Lithuania, Serbia, Poland, Georgia, Kazakhstan

πŸ” Logistics technology

🏒 Company: Greenscreens.ai

  • Python expertise with preferable experience in data processing applications and machine learning pipelines.
  • Strong proficiency in SQL and relational databases, preferably PostgreSQL, with experience in query optimization.
  • Knowledge of CI/CD pipelines and version control systems.
  • Experience with containerization and orchestration tools like Docker and Kubernetes.
  • Proficient in Python package management and understanding of Python GIL.
  • Highly desirable skills include machine learning libraries and familiarity with AWS, S3, Amazon Redshift, ClickHouse.
  • Additional technical skills such as Connexion, aiohttp, FastAPI, Flask, Cython, Numba, Elastic, Grafana, Prometheus.
  • Basics of Java or any language with strong typing.
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.

  • Design and maintain high-quality Python code for data analysis, machine learning model development and deployment.
  • Collaborate with data scientists and ML engineers to optimize data management and model deployment strategies.
  • Enhance data processing and machine learning pipelines to improve efficiency, scalability and monitoring capabilities.
  • Implement unit testing, integration testing, and Test-Driven Development practices to ensure the reliability and stability of our codebase.
  • Improve monitoring of ML microservices to detect and address performance issues proactively.

AWSDockerPostgreSQLPythonSQLData AnalysisFlaskKubernetesMachine LearningNumpyFastAPIGrafanaPrometheusPandasCI/CD

Posted 26 days ago
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