68 Automl Jobs - Page 2

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good you've co...

Summary: 0 Duties & Responsibilities: Job Description Summary We are seeking a motivated, talented Machine Learning Intern to join our team and contribute to AI and ML projects. The internship gives an opportunity to work with experienced Data Engineers, Scientists, gain hands-on in developing and upgrading AI/ML models. The internship offers the candidate an excellent chance to apply his knowledge and learning on ML algorithms to solve real world problems in Telecom domain around Network Monitoring and troubleshooting, deploying trained models and improve the evaluation scores of the models. Job Description Develop production-ready implementations of proposed solutions across different ML a...

You will be joining Citi's Analytics and Information Management (AIM) team, which collaborates across multiple cities in India including Bengaluru, Chennai, Pune, and Mumbai. As a senior analytics technology leader, your primary responsibilities will involve: - **Data Obsession**: Take ownership of data platforms to streamline data creation, management, and maintenance. Ensure governance of organizational data and make it available in a compliant manner for analysts. - **Technology Leadership**: Manage team members and technology partners to fulfill analytics business projects effectively. - **Client Obsession**: Develop client-centric analytic solutions for business problems by understandin...

As a Senior Technical Architect specializing in Machine Learning Solutions, you will play a crucial role in leading the end-to-end architecture of advanced ML-driven platforms within our enterprise. Your expertise in Machine Learning (ML), Artificial Intelligence (AI), and scalable ML system design will be instrumental in delivering impactful, production-grade AI solutions across the organization. **Key Responsibilities:** - Lead the architecture and design of enterprise-grade ML platforms, encompassing data pipelines, model training pipelines, model inference services, and monitoring frameworks. - Architect and optimize ML lifecycle management systems (MLOps) to facilitate scalable, reprodu...

As a Python Developer at our company, you will be responsible for working with large data sets using Python and demonstrating a strong background in Python programming, MySQL, Linux, and Machine Learning. Your role will require basic knowledge of Cloud computing, Jupyter Notebook, Machine learning algorithms, TensorFlow, PyTorch, Tesseract OCR, and NLP techniques including models like SpaCy, Bert, NLTK, and AutoML. You will play a key role in working through the phases of the project. Key Responsibilities: - Work with large data sets using Python - Possess a strong background in Python programming, MySQL, Linux, and Machine Learning - Demonstrate basic knowledge of technologies such as Cloud...

Inviting applications for the role of Manager, Data Scientist! In this role, we are seeking a highly skilled and experienced Generative AI Specialist for developing and implementing cutting-edge generative models to solve complex problems using LLM technology. Need to collaborate with cross-functional teams, conduct research, and deliver innovative solutions in the field of generative artificial intelligence. Responsibilities Participating and collaborating with operation teams in the organization to understand the business requirements and to deliver scalable solutions. Conduct thorough research on state-of-the-art generative AI techniques, stay up to date with the latest advancements, and ...

As an Artificial Intelligence Specialist at Gen AI, your role involves driving customer conversations to explore Gen AI opportunities. You will need to understand specific customer requirements and design acceptable Gen AI solution architectures tailored to their needs. Additionally, you will be responsible for creating customer proposals and responding to RFPs. Guiding solution engineers in developing Gen AI POCs and solutions for various industry verticals is also a key aspect of your role. Your proactive approach to problem-solving is vital as you drive topics to resolution with a focus on quality, speed, reliability, and efficiency. Staying updated on the latest technology advancements a...

You will be working as a Databricks Developer with 3-6 years of experience, located in India. Joining the data engineering and AI innovation team, your main responsibilities will include: - Developing scalable data pipelines using Databricks and Apache Spark - Implementing AI/ML workflows with tools like MLflow and AutoML - Collaborating with data scientists to deploy models into production - Performing ETL development, data transformation, and model training pipelines - Managing Delta Lake architecture - Working closely with cross-functional teams to ensure data quality and governance Qualification Required: - Bachelor's degree in Computer Science or a related field - Proven experience work...

Role Overview: At Zebra, you will be part of a community of innovators dedicated to creating new ways of working to improve everyday life. United by curiosity and care, the team at Zebra develops dynamic solutions that anticipate the needs of customers and partners and solve their challenges. As a member of Zebra Nation, you will be seen, heard, valued, and respected, collaborating with diverse perspectives to deliver on the company's purpose. You will have the opportunity to learn and lead at a forward-thinking company, shaping a fulfilling career path while contributing your skills to causes you care about locally and globally. Join a team that is redefining the future for organizations, t...

Job Description: You will be responsible for leading the configuration, maintenance, and optimization of the organization's network and security infrastructure to ensure high performance and reliability. Your key responsibilities will include: - Architecting and integrating networks across multiple business units and diverse cloud environments, ensuring seamless connectivity and scalability. - Championing the use of Infrastructure as Code processes to automate and maintain infrastructure consistency, scalability, and up-to-date configurations. - Overseeing the configuration, deployment, and management of F5 Local Traffic Managers (LTMs) and Advanced Security Modules (ASMs) to ensure seamless...

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments...

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 18 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Technology Architect, you will design, develop, and deliver advanced analytics and machine learning solutions leveraging Google Clouds AI/ML capabilities. You will define models and workflows to meet performance, scalability, and accuracy requirements, ensuring business insights are...

Location - Airoli, Mumbai Contract Duration - 9 months (Extendable to a year) Key Responsibilities: Design and implement scalable data intelligence platforms that integrate structured and unstructured data sources. Develop and fine-tune Generative AI models (LLMs, GANs, Diffusion Models) for tasks such as text generation, synthetic data creation, and content automation. Collaborate with data engineers, ML engineers, and product teams to deploy AI solutions into production environments. Build and maintain data pipelines , feature stores, and model monitoring systems. Apply prompt engineering techniques to optimize LLM performance for business use cases. Conduct experiments and A/B testing to ...

As a Data Engineer at Aptiv, you will play a crucial role in designing, developing, and implementing a cost-effective, scalable, reusable, and secured Ingestion framework. Your primary responsibility will be to work closely with business leaders, stakeholders, and source system Subject Matter Experts (SMEs) to understand and define the business needs, translate them into technical specifications, and ingest data into Google Cloud Platform, specifically BigQuery. You will be involved in designing and implementing processes for data ingestion, transformation, storage, analysis, modeling, reporting, monitoring, availability, governance, and security of high volumes of structured and unstructure...

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