10,075 Pytorch jobs in India

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
JOB SUMMARY
This position creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
RESPONSIBILITIES
- Defines key data sources from UPS and external sources to deliver models.
- Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
- For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts
- Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
- Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
- Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
- Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
- Presents operationalized analytic findings and provides recommendations.
- Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction
- Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
QUALIFICATIONS
Requirements:
-Ability to take a data science problem from start to finish, use pytorch/tensorflow to build the full model product.
- Strong analytical skills and attention to detail.
- Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach.
- Expertise with statistical techniques, machine learning or operations research and their application in business applications.
- Expertise in R, SQL, Python.
- Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale.
- Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
- Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
- Solid oral and written communication skills, especially around analytical concepts and methods.
- Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience.
- Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
Preferences:
- Familiarity with Java or C+ **Employee Type:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page.

Découvrez votre prochaine opportunité au sein d&aposune organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l&aposavenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l&aposautonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d&aposaujourd&aposhui et de demain.

Job Summary

Fiche de poste :

This position creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.

Responsibilities

• Defines key data sources from UPS and external sources to deliver models.
• Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
• For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts
• Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
• Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
• Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
• Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
• Presents operationalized analytic findings and provides recommendations.
• Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction
• Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
  
  

Qualifications

Requirements:

• Ability to take a data science problem from start to finish, use pytorch/tensorflow to build the full model product.
• Strong analytical skills and attention to detail.
• Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach.
• Expertise with statistical techniques, machine learning or operations research and their application in business applications.
• Expertise in R, SQL, Python.
• Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale.
• Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
• Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
• Solid oral and written communication skills, especially around analytical concepts and methods.
• Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience.
• Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
  
  

Preferences

• Familiarity with Java or C++
  
  

Type De Contrat

en CDI

Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés.

Skills Required
Cloud Services, Machine Learning, Statistical Modeling, Tensorflow, Sql, Python, Pytorch

**Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page.**
Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
**Fiche de poste :**
JOB SUMMARY
This position leads and advocates various data science teams on best practices around the development and implementation of advance analytic systems and predictive and prescriptive models. This position works with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects in the creation and delivery of insights from large and disparate data to empower confidence in business decisions. This position leads the evaluation and adoption of emerging technologies that support the use of statistical modeling, machine learning, distributed computing, and run time performance tuning with the goal of deploying optimal processes and introducing new products and services to the market. This position supports senior leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders. This position may manage people within the department.
RESPONSIBILITIES
- Leads and oversees the data analysts, data scientist team, machine learning engineers, and big data specialists in the implementation of models and systems that provide optimal results as well as scale and evolve the solutions to meet future business needs.
- Acts as subject matter expert on UPS business processes, data, and advanced analytics capabilities to scope problems, data and model requirements, and proven predictive and prescriptive techniques.
- Maintains broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to define strategies that support the creation, development and delivery of analytic solutions that meet business needs.
- Develops and prototypes algorithms to ensure analytic results satisfy problem statements and business needs.
- Interprets and analyzes large scale datasets to discover insights to support the build of analytic systems and predictive models as well as experiment with new and emerging models and techniques.
- Identifies and evaluates emerging/cutting edge open source, data science/machine learning libraries, data platforms, and vendor solutions to support the conception, planning, and prioritization of data projects across the enterprise.
- Provides thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, determine impact, recommend courses of action, and design and implement solutions.
- Champions best practices for adoption of Cloud-AI technologies, opensource software, machine learning libraries/packages, and data science platforms to derive useful information and insights that empower business decisions.
- Communicates with business customers and senior leadership team with various levels of technical knowledge, educates them about our systems, and shares insights and recommendations that can inform business strategies.
- Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals.
QUALIFICATIONS
Requirements:
- Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach.
- Multiple years of experience working with large-scale, complex datasets to create machine learning, predictive, forecasting, and/or optimization models.
- Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
- Expertise in data management pipelines involving data extraction, analysis and transformation using either data querying languages (e.g. SQL, NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS)
- Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms.
- Proven ability to convey rigorous technical concepts and considerations to non-experts, and strong analytical skills, attention to detail.
- Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP)
- Excellent verbal and written communication skills with the ability to communicate data through a story framework and convey data-driven results to technical and non-technical audiences, and effectively advocate technical solutions to research scientists, engineering teams as well as business audiences.
- Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Type de contrat:**
en CDI
_Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._

**Before you apply to a job, select your language preference from the options available at the top right of this page.**
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
JOB SUMMARY
This position leads and advocates various data science teams on best practices around the development and implementation of advance analytic systems and predictive and prescriptive models. This position works with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects in the creation and delivery of insights from large and disparate data to empower confidence in business decisions. This position leads the evaluation and adoption of emerging technologies that support the use of statistical modeling, machine learning, distributed computing, and run time performance tuning with the goal of deploying optimal processes and introducing new products and services to the market. This position supports senior leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders. This position may manage people within the department.
RESPONSIBILITIES
- Leads and oversees the data analysts, data scientist team, machine learning engineers, and big data specialists in the implementation of models and systems that provide optimal results as well as scale and evolve the solutions to meet future business needs.
- Acts as subject matter expert on UPS business processes, data, and advanced analytics capabilities to scope problems, data and model requirements, and proven predictive and prescriptive techniques.
- Maintains broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to define strategies that support the creation, development and delivery of analytic solutions that meet business needs.
- Develops and prototypes algorithms to ensure analytic results satisfy problem statements and business needs.
- Interprets and analyzes large scale datasets to discover insights to support the build of analytic systems and predictive models as well as experiment with new and emerging models and techniques.
- Identifies and evaluates emerging/cutting edge open source, data science/machine learning libraries, data platforms, and vendor solutions to support the conception, planning, and prioritization of data projects across the enterprise.
- Provides thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, determine impact, recommend courses of action, and design and implement solutions.
- Champions best practices for adoption of Cloud-AI technologies, opensource software, machine learning libraries/packages, and data science platforms to derive useful information and insights that empower business decisions.
- Communicates with business customers and senior leadership team with various levels of technical knowledge, educates them about our systems, and shares insights and recommendations that can inform business strategies.
- Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals.
QUALIFICATIONS
Requirements:
- Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach.
- Multiple years of experience working with large-scale, complex datasets to create machine learning, predictive, forecasting, and/or optimization models.
- Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
- Expertise in data management pipelines involving data extraction, analysis and transformation using either data querying languages (e.g. SQL, NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS)
- Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms.
- Proven ability to convey rigorous technical concepts and considerations to non-experts, and strong analytical skills, attention to detail.
- Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP)
- Excellent verbal and written communication skills with the ability to communicate data through a story framework and convey data-driven results to technical and non-technical audiences, and effectively advocate technical solutions to research scientists, engineering teams as well as business audiences.
- Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Employee Type:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

JOB SUMMARY
This position leads and advocates various data science teams on best practices around the development and implementation of advance analytic systems and predictive and prescriptive models. This position works with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects in the creation and delivery of insights from large and disparate data to empower confidence in business decisions. This position leads the evaluation and adoption of emerging technologies that support the use of statistical modeling, machine learning, distributed computing, and run time performance tuning with the goal of deploying optimal processes and introducing new products and services to the market. This position supports senior leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders. This position may manage people within the department.

RESPONSIBILITIES
• Leads and oversees the data analysts, data scientist team, machine learning engineers, and big data specialists in the implementation of models and systems that provide optimal results as well as scale and evolve the solutions to meet future business needs.
• Acts as subject matter expert on UPS business processes, data, and advanced analytics capabilities to scope problems, data and model requirements, and proven predictive and prescriptive techniques.
• Maintains broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to define strategies that support the creation, development and delivery of analytic solutions that meet business needs.
• Develops and prototypes algorithms to ensure analytic results satisfy problem statements and business needs.
• Interprets and analyzes large scale datasets to discover insights to support the build of analytic systems and predictive models as well as experiment with new and emerging models and techniques.
• Identifies and evaluates emerging/cutting edge open source, data science/machine learning libraries, data platforms, and vendor solutions to support the conception, planning, and prioritization of data projects across the enterprise.
• Provides thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, determine impact, recommend courses of action, and design and implement solutions.
• Champions best practices for adoption of Cloud-AI technologies, opensource software, machine learning libraries/packages, and data science platforms to derive useful information and insights that empower business decisions.
• Communicates with business customers and senior leadership team with various levels of technical knowledge, educates them about our systems, and shares insights and recommendations that can inform business strategies.
• Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals.

QUALIFICATIONS
Requirements: 
• Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach.
• Multiple years of experience working with large-scale, complex datasets to create machine learning, predictive, forecasting, and/or optimization models.
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
• Expertise in data management pipelines involving data extraction, analysis and transformation using either data querying languages (e.g. SQL, NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS) 
• Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms.
• Proven ability to convey rigorous technical concepts and considerations to non-experts, and strong analytical skills, attention to detail.
• Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP) 
• Excellent verbal and written communication skills with the ability to communicate data through a story framework and convey data-driven results to technical and non-technical audiences, and effectively advocate technical solutions to research scientists, engineering teams as well as business audiences. 
• Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. 

Employee Type:
 

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Visionify is working on bringing the power of Computer Vision and AI for everyday use-cases. We are looking to hire a strong, motivated and enthusiastic Sr. Computer Vision Engineer to execute our roadmap.
As a Sr. Computer Vision Engineer, you will be working on the state-of-the art challenges in the field of Computer Vision & solving them with novel algorithms and optimizations. Majority of our work is focused on applied Computer Vision - so a good understanding of current state of the art of models (Classification, Object detection, Object Recognition, OCR, LayoutML, GAN etc networks). You will be working on Pytorch as primary language - so prior demonstrated knowledge of Pytorch is must for this position. Any experience with Azure, Azure ML Studio framework etc., would also be preferable. 
Candidates are expected to stay current with the latest features and contribute to the open-source Pytorch project with a focus on performance and accuracy improvements. You deeply understand the PyTorch framework and underlying implementations to solve customer challenges., and provide insights into how key issues affect the product. Many of our models get deployed to the edge - so experience in optimizing and pruning models, converting models to NVIDIA TensorRT etc would be preferable. 
You must possess excellent Python coding skills - as Python is used throughout our organization to build training and inference pipelines. Candidates should have excellent communication and presentation skills. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.
Responsibilities:
Understanding business objectives and developing Computer Vision based solutions that help achieve it. The software could involve training framework, inference framework, working with different technologies for ML.

You will build models and solutions with Pytorch. You will optimize the Pytorch models for different runtime environments including NVIDIA Jetson TensorRT.


Guide the development team with their works, unblock their questions, help accelerate their deliverables.Developing ML/Computer Vision algorithms that could be used to solve a given problem.

Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

Develop processes for different common operations of the team: data acquisition, model training, prototype development. 

Finding open-source datasets for prototype development.

Develop pipelines for data processing, augmentation, training, inference and active retraining.

Training models and tuning their hyperparameters

Analyzing the errors of the model and designing strategies to overcome them

Deploying models to production

Requirements:
Bachelors/Masters degree in Computer Science/Computer Engineering/IT or related fields.

5+ years of experience. Exceptional candidates with less experience are welcome to apply.

Industry experience working in Image & Video Processing (OpenCV, GStreamer, Tensorflow, PyTorch, TensorRT, Model Training/Inference, Video Processing Pipelines, Different GStreamer Convertors etc).

Sound knowledge of various deep learning classification models including ResNet, Inception, VGG etc and object detection models including MobileNetSSD, Yolo, FastRCNN, MaskRCNN etc.

Good knowledge of Pytorch, Torchvision, writing training routines. Ability to update models, add/drop features, visualize how the model is performing etc.

Experience in Colab and Jupyter Notebook

Familiarity with CUDA/GPU

Knowledge of CNN visualization techniques such as CAM, GradCAM etc.

Strong understanding of Computer Vision and Real-time Video Processing techniques.

Strong experience with Python and writing reusable code.

Experience working with OpenCV and Scikit packages.

Experience with the NVIDIA platform (NVIDIA Deepstream, TensorRT).

Experience with Python web framework, e.g. Flask, Django or FastAPI

Experience with different ML platforms: PyTorch, TensorFlow.

Proficiency with AWS SageMaker

Experience with databases (Elasticsearch, SQL, NoSQL, Hive, …)

Experience in a cloud environment for software development and deployment (AWS preferred)

Experience with utilising various GPU-based training infrastructures.

Experience with Docker 

Knowledge of DevOps and MLOps best practices for production Machine Learning systems.

Desired Traits:
Thrive in a collaborative environment.

Flexible with changing requirements.

Come up with innovative solutions.

Keen focus on work quality & developing robust code.

• Solid understanding of deep learning and computer vision .
• Capable of developing and deploying models for real-world applications .
• Experience with object detection .
• Training and optimizing models.
• Handling large datasets .
• Integrating AI into web solutions .

• Preferred Qualifications

• Experience with Docker , FastAPI , React.js , and Node.js .
• Familiarity with cloud platforms like AWS/GCP/Azure .

Skills Required
Python, Tensorflow, Java, Artificial Intelligence, Node, Natural Language Processing, Node.js, Machine Learning

• Solid understanding of deep learning and computer vision .
• Capable of developing and deploying models for real-world applications .
• Experience with object detection .
• Training and optimizing models.
• Handling large datasets .
• Integrating AI into web solutions .

• Preferred Qualifications

• Experience with Docker , FastAPI , React.js , and Node.js .
• Familiarity with cloud platforms like AWS/GCP/Azure .

Skills Required
Python, Tensorflow, Java, Artificial Intelligence, Node, Natural Language Processing, Node.js, Machine Learning

• Solid understanding of deep learning and computer vision .
• Capable of developing and deploying models for real-world applications .
• Experience with object detection .
• Training and optimizing models.
• Handling large datasets .
• Integrating AI into web solutions .

• Preferred Qualifications

• Experience with Docker , FastAPI , React.js , and Node.js .
• Familiarity with cloud platforms like AWS/GCP/Azure .

Skills Required
Python, Tensorflow, Java, Artificial Intelligence, Node, Natural Language Processing, Node.js, Machine Learning