140 Julia Jobs - Page 3

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

- Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes.

- Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes.

- Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes.

- Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes.

- Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes.

- Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes.

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 2 years of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: Master's Degree in Computer Science. 4 years of relevant work experience in a large-scale data analysis. 2 years of experience with machine learning systems. Experience in at least one programming language (e.g., Go, Python, R, Julia, C/C++, Java, SQL). Experience in security threat or abuse detection, analysis and investigation. Excellent...

HIRING INTERNS Experience - 0-1 years Qualifications - B.Arch, Interior Designer Hi everyone, We are excited to welcome more members into our team. We are looking for freshers with innovative ideas and a positive outlook and passion for Design. The job role requires you to : 1. Handle clients 2. Contribute to Design 3. Visit Offices on behalf of the company We are looking forward to see you here. - Ar. Julia

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 5 years of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: Master’s or Ph.D. degree in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research etc.) 5 years of experience in a large-scale data analysis or data science setting, including abuse and fraud disciplines, with a focus on web security, harmful content moderation and threat analysis. Experience scrip...

One of our client is seeking a Data Scientist with 2-6 Years of experience with strong expertise in Data Science, Python, and SQL to join our team in the travel industry for Hyderabad Location . The role involves working with cross-functional teams to analyze customer behavior, forecast demand, optimize pricing models, and deploy AI-driven solutions to enhance user experience and drive business growth. Hire2 2.ai connects top talent with executive ro les anonymously and confidenti ally, transforming hiring through an AI-first, instant CoNCT m odel. Companies get interview-ready candidates in just 22 hou rs. No telecalling, no spam, no manual filtering Key Responsibilities Work across all sta...

Bengaluru, Karnataka Job ID JR2025467271 Category Engineering - Software Role Type Onsite Post Date Aug. 18, 2025 Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainab...

University: Delft University of Technology Country: Netherlands Deadline: 2025-09-26 Fields: Environmental Science, Environmental Engineering, Hydrogeology, Physics, Applied Mathematics How can advanced surrogate modeling and uncertainty quantification revolutionize the way we predict and manage groundwater quality in a changing world? The increasing complexity of environmental challenges, such as safeguarding groundwater quality, demands innovative computational approaches. If you are passionate about applying machine learning, statistics, and environmental modeling to real-world issues, the PhD position in Surrogate-enabled Uncertainty Quantification for Reactive Transport Modeling at Delf...

University: Delft University of Technology Country: Netherlands Deadline: 2025-09-26 Fields: Environmental Science, Environmental Engineering, Hydrogeology, Applied Mathematics, Physics Are you passionate about combining computational modeling, machine learning, and environmental sciences to address pressing challenges in groundwater quality and contamination? If you are eager to advance your academic career while working at the intersection of hydrogeology, statistics, and artificial intelligence, this PhD position at Delft University of Technology could be the perfect next step for you. About The University Or Research Institute Delft University of Technology (TU Delft) is one of Europe’s ...

You will be working for one of ANSR's clients, Illumina, a renowned developer, manufacturer, and marketer of life science tools and integrated systems dedicated to making genomics useful for all. Illumina's integrated Indian global hub in Bengaluru, Illumina India Biotechnology Private Limited, focuses on technology activities that drive innovation in healthcare and medical research to shape the future of personalized medicine and health care. As a Data Scientist at Illumina, you will collaborate with cross-functional teams of scientists, engineers, and bioinformaticians to analyze complex biological data, develop advanced models, and deliver actionable insights. Your work will support initi...

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American. How will you make an impact in this role? We are looking for energetic, high-performing and highly skilled Java Full Stack Engineers with some GCP Cloud experience to help...

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM. Applied AI Solutions Architect: Job Overview The Applied AI Solutions Architect is a strategic role responsible for designing, implementing, and managing AI-driven solutions that ...

WALK-IN INTERVIEW (11th and 12th August, 2025) Department of Computer Science & Engineering and Computer Applications, Teerthanker Mahaveer University, Moradabad, invites applications for teaching and technical positions. Positions: Professor, Associate Professor, Assistant Professor and Programmer Key Skill Areas (The following list is indicative, but not exhaustive): AI/ML/DL Cryptography & Network Security Pattern Recognition Big Data & Data Analytics DBMS Dot Net & Java Programming Cloud Architecture Data Science & Cloud Computing Full Stack Development Swift & Android Programming Computer Applications Blockchain Technology Genetic Algorithm Information Security & Cyber Security Julia Pr...

Responsibilities: Design and develop AI/ML algorithms for ad decisioning, bid auctioning, ad creative optimization, forecasting, and data classification in Digital Advertising. Identify valuable data sources and automate data engineering and ETL processes from ad serving events. Develop strategies for data preparation, including structured and unstructured data. Perform feature engineering and analyse large amounts of data from ad serving event logs to identify trends, patterns, and anomalies in bidding and ad decisioning. Ensure data privacy and security while conducting data analysis and modelling. Conduct experiments to validate hypotheses and test new algorithms. Build Minimum Viable Pro...