339 Dask Jobs - Page 2

As a Software Engineer - Python at KPMG in India, you will have the opportunity to join our dynamic team and contribute to the development of Python-based applications. With 3 to 5 years of experience as a Python Developer, you will play a crucial role in designing, developing, and maintaining high-quality software solutions in collaboration with cross-functional teams. Your responsibilities will include designing, developing, and maintaining applications using Python. You will work closely with product managers, designers, and other stakeholders to understand requirements and translate them into technical specifications. Writing clean, well-structured, and efficient code following best prac...

JD- PYTHON DEVELOPER We are looking for a passionate Python developer to join our team at GeoTech Infoservices Pvt Ltd. You will be responsible for developing and implementing high-quality software solutions, creating complex applications using cutting-edge programming features and frameworks and collaborating with other teams in the company to define, design & deliver new features. You will brainstorm and chalk out solutions to suit our requirements and meet our business goals. You will also be working on data engineering problems and building data pipelines. You would get ample opportunities to work on Challenging and innovative projects, using the lates technologies & tools. Objectives of...

As a member of our team, your primary responsibility will be the development and training of foundational models across various modalities. You will be involved in the end-to-end lifecycle management of foundational model development, starting from data curation to model deployment, by collaborating closely with core team members. Your role will also entail conducting research to enhance model accuracy and efficiency, as well as implementing state-of-the-art AI techniques in Text/Speech and language processing. Collaboration with cross-functional teams will be essential as you work towards building robust AI stacks and seamlessly integrating them into production pipelines. You will be expect...

We are looking for a Machine Learning Operations Engineer to join our team, to design, build, and integrate ML Ops for large-scale, distributed machine learning systems, focusing on cutting-edge tools, distributed GPU training, and enhancing research experimentation. Roles & Responsibilities: Architect, build, and integrate end-to-end life cycles of large-scale, distributed machine learning systems i.e., ML Ops, using cutting-edge tools/frameworks. Develop tools and services for the explainability of ML solutions. Implement distributed cloud GPU training approaches for deep learning models. Build software/tools that improve the rate of experimentation for the research team and extract insigh...

About Us: MatchMove is a leading embedded finance platform that empowers businesses to embed financial services into their applications. We provide innovative solutions across payments, banking-as-a-service, and spend/send management, enabling our clients to drive growth and enhance customer experiences. Are You The One? As a Senior Software Engineer on our Data Platform team, you will build the backbone of our data infrastructure that powers critical business insights and automates regulatory reporting for our payments platform. You’ll work on distributed, scalable, and highly reliable data pipelines, enabling efficient data processing at scale. You will play an integral role in shaping our...

Category Engineering Experience Director Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Distinguished Engineer - Machine Learning Engineering Distinguished Engineer - Machine Learning Engineering At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward. We’re looking for a Distinguishe...

Voyager (94001), India, Bangalore, Karnataka Distinguished Engineer - Machine Learning Engineering Distinguished Engineer - Machine Learning Engineering At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward. We’re looking for a Distinguished Engineer - Machine Learning Engineering to join the Machine Learning Experience (MLX)...

We are seeking a highly skilled and motivated Lead DS/ML engineer to join our team. The role is critical to the development of a cutting-edge reporting platform designed to measure and optimize online marketing campaigns. We are seeking a highly skilled Data Scientist / ML Engineer with a strong foundation in data engineering (ELT, data pipelines) and advanced machine learning to develop and deploy sophisticated models. The role focuses on building scalable data pipelines, developing ML models, and deploying solutions in production to support a cutting-edge reporting, insights, and recommendations platform for measuring and optimizing online marketing campaigns. The ideal candidate should be...

As a Python Developer with over 3 years of experience and a solid portfolio of projects, you will be responsible for developing high-quality software solutions. You should hold a Bachelor's degree in Computer Science, Software Engineering, or a related field to ensure a strong foundation in the field. Your expertise should encompass a deep understanding of Python software development stacks, ecosystems, frameworks, and tools including Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn, and PyTorch. Proficiency in front-end development using HTML, CSS, and JavaScript is essential for this role. Additionally, familiarity with database technologies such as SQL and NoSQL will be beneficial. ...

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. We are seeking a AI/ML Engineer to lead the design, development, and deployment of agentic AI systems and multi-agent architectures . You will focus on large language models (LLMs), intelligent agents, and Azure-native deployment to automate complex incentive workflows. Collaborating closely with our Data Engineering t...

Job Description : - Senior Full Stack Data Scientist (Brand Power) About the Role We are seeking a Senior Full Stack Data Scientist to drive innovation at the intersection of data science and brand power. This role blends advanced analytics, machine learning, software engineering, and strategic brand insights to shape impactful solutions that elevate both customer experience and product reach. You will own the end-to-end lifecycle of data products, from data ingestion to real-time deployment, while ensuring outcomes align with brand performance, consumer engagement, and market growth metrics. About the Team At Global Analytics, we’re driving HEINEKEN’s transformation into the world’s leading...

As an MLOps Engineer at our company, you will be responsible for developing scalable applications and platforms in an agile environment. You will manage various aspects of project management, including requirements gathering, metadata collection, classification, security clearance, data pipeline template development, and data pipeline monitoring and support. Your role will involve designing, developing, deploying, and maintaining production-grade scalable data transformation, machine learning, and deep learning code and pipelines. You will be in charge of managing the ETL and machine learning model lifecycle, including development, deployment, monitoring, maintenance, and updates of data and...

The science and engineering of AI is rapidly evolving. We are looking for an adaptable learner who can think in code and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problems spaces; who is comfortable with ambiguity and pivoting when needed. Is this you? Come join us. About the Role In this opportunity as a Software Engineer with a specialization in Machine Learning, you will: Develop and Deliver: Applying modern development practices, you will be involved in the entire software development lifecycle, building, testing, and delivering high-quality solutions. Solve Complex Problems: You will create large scale data processing pipelines t...

HEINEKEN is seeking a talented and motivated Senior Data Scientist with a strong background in Full Stack . The role involves working on challenging business problems, requiring development of innovative optimization models, and deploying them in ways that deliver significant business value. The mission of Global Analytics is to lead HEINEKEN into becoming a data-driven company and the best-connected brewer. As a team, we radiate a data-driven entrepreneurial culture to the rest of the company. We act as an incubator for smart data products in all business areas, from sales to logistics and marketing to purchasing. This approach has allowed us to grow rapidly and launch many value-creating u...

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. JD for ML Ops Key Responsibilities Develop, deploy, and monitor machine learning models in production environments. Automate ML pipelines for model training, validation, and deployment. Optimize ML model performance, scalability, and cost efficiency. Implement CI/CD workflows for ML model versioning, testing, and deployment. Manage and optimi...

Job Description The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm. The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments, and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world. We commit people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Our people ar...

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tr...

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tr...

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tr...

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