232 Deep Learning jobs in Hyderabad
Deep Learning
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• Experience leading engineering teams from the first concept to ship
• Expert knowledge of deep learning techniques such as CNN, RNN, LSTM, and GAN
• World recognized expert knowledge and strong leadership experience in Deep Learning with an extensive publication record in peer-reviewed conferences and specialization in at least one of the following domains:
o Applications of deep learning techniques to traditional 3D computer vision topics such as Simultaneous Localization and Mapping (SLAM), Dense mapping, Eye tracking.
o Semantics and scene understanding.
o Scene segmentation.
o Object Detection and tracking.
o Hand tracking.
o Person tracking.
o Multi-task learning.
• Knowledge software optimization and embedded programming is a plus
Deep Learning Expert
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Working experience in performance tuning of end-to-end (E2E) service APIs
Design and refinement of deep learning algorithms through all layers of an application such as frontend, integration, application, and business logic.
Working experience with tools such as Tensorflow, Pytorch, MxNet, or other deep learning libraries.
Dependency management as well as source code control such as Git
Experience developing in cloud-based applications (AWS, Google Cloud Platform, Azure)
Bachelor's Degree in computer science or related field and 4+ years of industry experience
Proven python skills
Familiarity with security best practices
Familiarity with ML operations services such as SageMaker or other industry standards.
the ability to adapt verbal, written communication to the audience
Strong team player used to work in an agile (scrum) environment with tools like Jira
Solid understanding of best practices such as test-driven development and industry established code quality standards
Experience in Other language expertise like R, C++, Scala is a plus.
Experience with GPU-based training and optimization is considered a plus.
Software Engineer - Deep Learning
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NVIDIA is known as “the AI computing company.” Come, join our Deep Learning team, where you can help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. We are currently seeking an experienced senior software engineer with strong Deep Learning and System Programming fundamentals coupled with robust C/C++ skills to contribute to the development of NVIDIA Maxine Audio - a comprehensive suite of SDKs, Microservices and APIs that enable AI-driven features for video conferencing, content creation and gaming.
What you’ll be doing:
Architect and lead development of next-generation Deep Learning and multimedia algorithms for processing of speech and audio applications.
Train Speech Enhancement models, assess them for quality, performance, and finetune them.
Analyze model accuracy and bias and recommend the next course of action & Improvements.
Improve processes for speech data processing, augmentation, filtering & training sets preparation.
Optimize algorithms for optimal performance on the GPU tensor cores
Collaborate with various teams to drive an end to end workflow from data curation and training to performance optimization and deployment
Influence strategic decisions in the team and product roadmap
Partner with system software engineers and validation teams to build and ship production-quality code.
What we need to see:
PH.D./MS in Computer Science or a closely related engineering field with 3+ years of relevant experience
Strong background in Deep Learning including model design, pruning & performance optimization, transfer learning etc
4+ years of experience of leading cross-module projects and taking them to productization
Strong software engineering background with proficiency in C or C++
Hands-on expertise with PyTorch, TensorRT, CuDNN and one or more Deep Learning frameworks (Tensorflow, Keras etc)
Familiarity/expertize with various cloud frameworks e.g. AWS, GCP, Azure is a big plus
CUDA programming experience is a plus
Excellent communication and collaboration skills
Self-motivated and able to find creative practical solutions to problems
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Edge AI Deep Learning Software Engi...
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Candidate should be able to:
Interact with deep learning researchers and experience with deep learning frameworks.
Transform computational graph representation of neural network model. Develop deep learning primitives in math libraries.
Implement various distributed algorithms such as model/data-parallel frameworks, parameter servers, data flow-based asynchronous data communication in deep learning frameworks.
Optimize code for various computing hardware backends.
Design, develop optimize for deep learning training and inference frameworks.
Conduct design and development to build and optimize deep learning software.
Candidate should have:
Excellent communication skills and interpersonal skills to be a team player.
ability to independently handle technical issues and come up w solutions
Ability to be a self-starter and highly proactive lead with a passion to work closely with customers in emerging areas applications
In-depth experience in Open VINO frameworks is highly desired
Exposure to CSP AI frameworks like Amazon Greengrass MSFT Azure is a definite plus
the ability for rapid prototyping of solutions and iteratively codevelop mature them with customers,
Prior experience in Cloud stack development including orchestration frameworks ex Kubernetes docker swarm container development middleware and building workflows involving deep learning solutions
Excellent coding skills and disciplined methodical approach to problem-solving
Prior experience in software stack development frameworks TF Pytorch models and performance accuracy tuning aspects
The ideal candidate shall have 5+ years of relevant industry experience
Deep Learning Video AI Engineer – Recognition & Reasoning
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At Drillo.AI, we deliver tailored AI solutions that empower small and medium-sized businesses (SMBs) to innovate and grow. Our mission is to make advanced technology accessible, helping SMBs streamline operations, enhance decision-making, and drive sustainable success. With a deep understanding of the unique challenges faced by smaller enterprises, we provide scalable, cost-effective AI strategies that unlock new opportunities. Our solutions elevate businesses to the next level.
Mandatory educational qualification: Bachelor’s in engineering (specifically Computer Science) from a premier institute in India (IITs or NITs or IIITs)
Bonus educational qualification: Masters (MTech) in Computer Science from IISC or IITs.
Role Description
What you'll be doing:
- From Research to Reality: You'll be the bridge between cutting-edge academic research (activity recognition, multi-camera tracking, Video Language Models) and deployable, production-grade features on
- Building Solutions: Design, develop, and optimize Deep Learning models for human activity analysis in videos, from initial concept to final deployment.
- System Ownership: Take charge of your modules, ensuring they're robust, efficient, and seamlessly integrated with our AI platform, collaborating closely with our full-stack team.
We're seeking a candidate with:
- 4-5 years of industry experience, with 2-3 years specifically in practical, project-driven Deep Learning in the Video AI domain.
- Rock-solid Python coding skills.
- Deep practical knowledge of PyTorch and ONNX.
- Proven track record of deploying data pipelines for Computer Vision projects.
- The ability to independently set up, troubleshoot, and optimize Linux workstations (CUDA, OpenCV).
- A strong grasp of Deep Learning concepts (optimizers, attention, masking, model tuning).
- Demonstrated experience with activity detection or object detection implementations.
- A keen ability to read and implement new approaches from research papers.
Your personality is just as important:
- You're incredibly curious and love to experiment.
- You have an unwavering commitment to learning and overcoming challenges.
- You're a great communicator and thrive in a collaborative environment.
- You take full ownership of your work, seeing it through to successful deployment.
Mandatory educational qualification: Bachelor’s in engineering (specifically Computer Science) from a premier institute in India (IITs or NITs or IIITs)
Bonus educational qualification: Masters (MTech) in Computer Science from IISC or IITs.
Industry- IT Services and IT Consulting
Full-time
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Data Science
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• .Use machine learning, statistical, and programming skills to enable data analytics.
• Drive informed decision-making and present findings to both technical and non-technical audiences.
• Work closely with physicians to identify medically relevant use cases, develop machine learning models, and validate impact.
• Deliver insights and values from heterogeneous data to investigate complex problems in the health care domain for multiple use cases
• Provide technical direction and mentor junior members of the Medical Informatics team.
• Work closely with software engineers to facilitate model integration and deployment.
• Embrace a fast-paced, collaborative environment dedicated to building atop cutting-edge technology.
Digital : Data Science
Posted 3 days ago
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Job Description
Role**: Digital : Data Science
Required Technical Skill Set: Digital : Data Science
Desired Experience Range: 03 - 08 yrs
Notice Period: Immediate to 90Days only
Location of Requirement: Hyderabad/Bangalore/Pune/Chennai/Kolkata
We are currently planning to do a Virtual Interview
Job Description:
Must-Have**
(Ideally should not be more than 3-5)
Proficiency in Python or R for data analysis and modeling.
Strong understanding of machine learning algorithms (regression, classification, clustering, etc.).
Experience with SQL and working with relational databases.
Hands-on experience with data wrangling, feature engineering, and model evaluation techniques.
Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn.
Strong understanding of statistics and probability.
Ability to translate business problems into analytical solutions.
Good-to-Have
Experience with deep learning frameworks (TensorFlow, Keras, PyTorch).
Knowledge of big data platforms (Spark, Hadoop, Databricks).
Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP).
Familiarity with NLP, computer vision, or time series forecasting.
Exposure to MLOps practices for model lifecycle management.
Understanding of data privacy and governance concepts.
SN
Responsibility of / Expectations from the Role
1
Work with stakeholders to identify business requirements and opportunities for leveraging data.
Design and implement advanced analytics models using machine learning and statistical techniques.
Clean, process, and analyze large datasets from various sources (structured & unstructured).
Develop, test, and deploy predictive models and data pipelines.
Create data visualizations, dashboards, and reports to communicate insights to non-technical users.
Collaborate with data engineers, analysts, and product teams to integrate models into production environments.
Monitor and continuously improve model performance.
Stay up-to-date with latest research, tools, and techniques in data science and AI.
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Digital : Data Science
Posted 3 days ago
Job Viewed
Job Description
Required Technical Skill Set: Digital : Data Science
Desired Experience Range: 03 - 08 yrs
Notice Period: Immediate to 90Days only
Location of Requirement: Hyderabad/Bangalore/Pune/Chennai/Kolkata
We are currently planning to do a Virtual Interview
Job Description:
Must-Have**
(Ideally should not be more than 3-5)
Proficiency in Python or R for data analysis and modeling.
Strong understanding of machine learning algorithms (regression, classification, clustering, etc.).
Experience with SQL and working with relational databases.
Hands-on experience with data wrangling, feature engineering, and model evaluation techniques.
Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn.
Strong understanding of statistics and probability.
Ability to translate business problems into analytical solutions.
Good-to-Have
Experience with deep learning frameworks (TensorFlow, Keras, PyTorch).
Knowledge of big data platforms (Spark, Hadoop, Databricks).
Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP).
Familiarity with NLP, computer vision, or time series forecasting.
Exposure to MLOps practices for model lifecycle management.
Understanding of data privacy and governance concepts.
SN
Responsibility of / Expectations from the Role
1
Work with stakeholders to identify business requirements and opportunities for leveraging data.
Design and implement advanced analytics models using machine learning and statistical techniques.
Clean, process, and analyze large datasets from various sources (structured & unstructured).
Develop, test, and deploy predictive models and data pipelines.
Create data visualizations, dashboards, and reports to communicate insights to non-technical users.
Collaborate with data engineers, analysts, and product teams to integrate models into production environments.
Monitor and continuously improve model performance.
Stay up-to-date with latest research, tools, and techniques in data science and AI.