In order to adapt to digitalization and globalization in the current global tech market, deep learning positions are in high demand at numerous large tech organizations.
Yes, huge tech companies are currently facing intense rivalry because of startups growing at a fast pace. As a result, they are advertising deep learning positions with attractive compensation packages for experienced deep learning specialists.
Here in the blog, you’ll find 22 Deep Learning Scientists Jobs to apply for in July. This list of open positions at major organizations for July 2022 also includes machine learning positions. If a person possesses the necessary expertise and understanding in this field, they are qualified to apply for these deep learning positions.
1. Data Scientist - Machine Learning, Deep Learning, NLP
Company: Enterprise Bot
Location: Bengaluru, Karnataka, India
Job responsibilities: The data scientist is in charge of creating deep learning models using both structured and unstructured data. Create and implement deep learning methods in production. Software modules for data input, data transformation, and analytics are designed and developed. Create applications that use NLP and deep learning.
Job Qualifications: Experience in the fields of Deep Learning, NLP, and Data Science must range from 2 to 5 years. Hands-on experience with deep learning and applications of machine learning, as well as knowledge of Transformers (hugging face) and NLP algorithms and techniques.
2. Software Engineer- Data Analytics (Image and Deep Learning)
Company: Pentair
Location: Noida, UttarPradesh, India
Job Responsibilities: Should have practical knowledge of image processing and OpenCV. Employing deep learning frameworks (Tensorflow, Pytorch, etc.) to train and construct deep learning models. familiarity with contemporary deep learning architectures like Resnet, Transformers, VGG, etc. Knowledge of picture segmentation, object identification, and classification.
Job Qualifications: M.E./M. Tech (Data Analytics) and Strong exposure in Data Science & Analytics.
3. AI Resident – Deep Learning
Company: Shell
Location: Hyderabad, Telangana, India
Job Responsibilities: Understanding business goals, creating models that help achieve them, creating metrics to measure progress, examining the ML algorithms that could be applied to a given situation, and ranking those ML algorithms according to their likelihood of success.
Job Qualifications: Proficiency with Python, fundamental deep learning libraries like scikit-learn and pandas, and experience with frameworks for deep learning like TensorFlow or Keras. A plus is having knowledge of scientific computing and analysis tools like NumPy, SciPy, Pandas, and Scikit-learn.
4. Machine Learning & Deep Learning
Company: WNS
Location: Bengaluru, Karnataka, India
Job Responsibilities: Should have practical knowledge of image processing and OpenCV. Employing deep learning frameworks (Tensorflow, Pytorch, etc.) to train and construct models Deep learning models and familiarity with contemporary deep learning architectures like Resnet, Transformers, VGG, etc. Knowledge of picture segmentation, object identification, and classification. locating the issue in the business and offering a solution through data analysis
Job Qualifications: Strong background in analytics and machine learning and a solid grounding in any language - Python strong numerical and analytical abilities Requirements: M.E./M. Tech (Data Analytics)
5. Deep learning engineer/ Data scientist
Company: Paxcom
Location: Delhi, India
Job Responsibilities: Create and train cutting-edge algorithms to carry out visual recognition tasks including segmentation, detection, and classification at scale on datasets containing millions of images. aided in the creation of deep learning models at production level for computer vision applications. Deep learning models were used to develop solutions that could be used with a CPU or GPU. knowledge of PyTorch, TensorFlow, or other deep learning frameworks Strong knowledge of Linux environments, Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, and bash scripting.
Job Qualifications: STEM" major (Science, Technology, Engineering, Mathematics) master's degree or equivalent + one year of experience developing analytics for commercial use OR STEM" major (Science, Technology, Engineering, Mathematics) doctorate or equivalent
6. Machine Learning Engineer
Company: Gemini Solutions
Location: Gurugram, Haryana, India
Job Responsibilities: You will be expected to contribute to the NLP domain, which heavily relies on deep learning (e.g., doc2vec, transfer learning using State of the Art models), as well as the fixed income market domain, where you will combine deep learning with more conventional machine learning techniques to forecast returns.
Job Qualifications: Preferred master's degrees in CS, EE, mathematics, and computing. 2+ years of experience in the field of machine learning, ideally in the field of finance, as well as expertise in the areas of entity resolution and natural language processing.
7. ML Engineer_Senior Associate_C2MA
Company: DBS Bank
Location: Bengaluru, Karnataka, India
Job Responsibilities: As an ML Engineer, you will be in charge of planning, creating, testing, and implementing large-scale solutions and distributed machine learning and deep learning systems for our global clientele. You will work closely with a group of ML/DL scientists to create the team's road map and affect our overall strategy in this.
Job Qualifications: Any Graduate
8. DL / Computer vision Developer
Company: Cyient
Location: Noida, Uttar Pradesh, India
Job Responsibilities: Create and improve architecture, design, implementation, and deployment of cutting-edge systems for effective deep learning. Working collaboratively with AI researchers and architects, you will execute organizational goals through a number of releases that are well-executed. Additionally, the job entails finding solutions for low-level systems issues including GPU state and memory management, high-performance distributed storage, and networking optimizations for high-speed.
Job Qualifications: Knowledge of low-level operating systems, performance tweaking, and system design. Working knowledge of big data and the cloud also knowledge of Python, deep learning, and machine learning is a must.
9. Deep Learning Engineer
Company: DroneBase
Location: Bengaluru, Karnataka, India
Job Responsibilities: Develop and create deep learning-based solutions for a variety of industries, including real estate, construction, and renewable energy. Build, Train, Test, and Implement Effective Deep Learning Models for Multiple Domains Object Detection and Segmentation Tasks (End to End Development including Data Preparation, Augmentation, Training, and Deployment). Understand, optimize, and improve the workflows, approaches, models, and code base currently being used to address important challenges.
Job Qualifications: Experience working in the field of deep learning for at least one year. strong theoretical foundation in state-of-the-art deep learning model architectures, transfer learning, convolutional neural networks, hyperparameters, and neural networks. Experience developing segmentation and object detection models from scratch and utilizing transfer learning.
10. Deep Learning Engineer
Company: RadiusAI
Location: Bengaluru, Karnataka, India
Job Responsibilities: Working with ongoing developments in the company and having a fundamental understanding of probability and programming. You will experiment with neural network designs, machine learning frameworks like Tensorflow and Pytorch, and data streaming pipelines in your day-to-day work.
Job Qualifications: Experience using Bayesian models and statistics to solve problems in the real world, preferably after earning a master's or Ph.D. in a STEM field experience with distributed computers, compilers, and programming languages knowledge of open source development
11. Machine Learning Engineer
Company: Cactus Communications
Location: Remote, India
Job Responsibilities: Immerse yourself in offering innovative answers to significant issues facing the actual world. To improve the functionality of various natural language generation and classification models used by Cactus digital editing tools, you will mostly deal with existing open-source deep learning libraries like TensorFlow, PyTorch, HuggingFace transformers, fairseq, etc. Deep neural network training on an extensive, distributed scale. This could entail combining the distribution algorithms in TensorFlow with off-the-shelf frameworks like DeepSpeed and Fairscale.
Job Qualifications: Experience in applied AI research and development spanning two years. You have strong problem-solving skills and are self-motivated. strong foundations in computer science (data structure, algorithms, architecture and OO design). A benefit is having relevant work experience, such as an internship or full-time industry research experience.
12. Deep Learning Software Engineer
Company: CONXAI
Location: Bengaluru, India
Job Responsibilities: Setting the frameworks, protocols, algorithms/topologies, and optimizations for AI in a strategic and technical manner. making high-level design decisions that are centered on the software structure, protocols, and algorithms' management, scalability, usability, resilience, availability, security, and/or safety. Identifying the needs for coding, development tools, validation, and standards compliance.
Job Qualifications: DL development experience in TensorFlow or Pytorch for multi-node training and inference for 5+ years. At least TWO of the following: image/video, natural language, recommendation systems, and data analysis experience and knowledge
13. Computer Vision & Deep Learning Research Scientist/Engineer
Company: OnePlus
Location: Hyderabad, Telangana, India
Job Responsibilities: Create deep learning models for automotive applications in computer vision and natural language processing. Create and maintain extensive, problem-specific datasets to analyze and boost GPU implementation performance
Job Qualifications: 5+ years of solid expertise in the development of deep learning models. Should have knowledge of deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet) Outstanding programming, debugging, performance analysis, and test design abilities
14. Machine Learning Engineer 1
Company: OLA
Location: Bengaluru, Karnataka, India
Job Responsibilities: The entire gamut of contemporary applied machine learning work will be done with you, including conception, experimentation, implementation, and maintenance. Collaborating closely with the founding team's engineers and developing tools and automation for ML/DL prediction models. You must understand how to create Docker containers and endpoints to host deep learning and machine, learning models.
Job Qualifications: 2+ years of industry experience in applied machine learning and software engineering. Proficient in at least one object-oriented language, such as C++, Python, or Scala
15. Machine Learning Engineer II
Company: Adobe
Location: Noida, Uttar Pradesh, India
Job Responsibilities: Drive organizational modifications and develop governance frameworks to put AI/ML-related solutions into practice. Create scalable and user-friendly machine learning workflows and implement them to enable training, assessment, and inference on client infrastructure as well as in the cloud. To enable continuous digital business transformation, develop and mature the AI/ML Platform architecture.
Job Qualifications: Knowledge of the basics of machine learning and artificial intelligence, as well as their application, familiarity with the ML lifecycle, AI ethics, and ML frameworks like TensorFlow, Caffe, Torch, and others.
16. Machine Learning Engineer
Company: Ubiquity
Location: Gurgaon, India
Job Responsibilities: Provide Machine Learning / Deep Learning algorithms and solutions for data processing and analysis projects. Offer your experience in machine learning and algorithms, and work together with project teams.. Keep the machine learning solution integrated inside the software.
Job Qualifications: You've worked as a machine learning scientist or engineer for at least three years, deploying models in mass production. Previous experience delivering models as a component of a (potentially stateful) microservice. You are passionate about using AI/ML/DL systems that have been put into production to directly optimize key goods or operations.
17. Senior Deep Learning Software Engineer
Company: NVIDIA
Location: Bengaluru, Karnataka, India
Job Responsibilities: Create deep learning models for automotive applications in computer vision and natural language processing. Create and maintain extensive, problem-specific datasets to analyze and boost GPU implementation performance
Job Qualifications: B.Tech. or M.Tech. in computer engineering or a similar engineering field, or comparable experience. 5+ years of solid expertise in the development of deep learning models and should have knowledge of deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet)
18. Software Engineer - Embedded Deep Learning Quantization
Company: MathWorks
Location: Bengaluru, Karnataka, India
Job Responsibilities: The optimal toolchains for using Model-Based Design methods to address issues in the field of Artificial Intelligence are MATLAB and Simulink. It can be difficult to transform such creative ideas into something that can be effectively implemented on an embedded device. It is your responsibility to create new features that automate this change by enabling simulation and deployment. Delivering exceptional user-friendliness and optimum user productivity is your challenge.
Job Qualifications: Experience working independently on cross-disciplinary teams to conceive, develop, and test strong knowledge of software architecture and Object-Oriented programming understanding of one or more branches of statistics, deep learning, machine learning, or optimization
19. Deep Learning Engineer
Company: Toothsi
Location: Mumbai, Maharashtra, India
Job Responsibilities: From data collection, cleaning, and preprocessing to model training and deployment to production, you will oversee every process. The ideal applicant will be enthusiastic about artificial intelligence and knowledgeable about the most recent advancements in the field. We are moving forward in this direction to leverage Artificial Intelligence and Deep Learning to make our aim simple and provide a richer user experience.
Job Qualifications: Having knowledge of a deep learning framework like TensorFlow or Keras. Knowledge of Python and the fundamental machine learning and deep learning libraries such as scikit-learn, NumPy, and pandas.
20. Senior Deep Learning Compiler Engineer
Company: Mulya Technologies
Location: Hyderabad, Telangana, India
Job Responsibilities: You will be in charge of creating the tools required to create cutting-edge deep learning models for unique Ceremorphic chips. To speed the development of the generation of deep learning software, you will cooperate with members of the hardware architecture and deep learning software framework teams.
Job Qualifications: Excellent debugging, performance analysis, and test design skills, as well as programming in C/C++. Working knowledge of advanced machine learning frameworks (Tensorflow, PyTorch, MXNet) and understanding of the hardware accelerator market for machine learning (basic architectures, common techniques shared across the space, etc).
21. Computer Vision/Deep Learning Engineer
Company: Staqu Technologies
Location: Gurugram, Haryana, India
Job Responsibilities: Full-stack computer vision solutions on the PyTorch/Theano/TensorFlow. The framework may be designed, implemented, and deployed. Investigate and resolve challenging problems in deep learning, categorization, and image recognition. To solve challenging challenges, conduct research, and develop scalable computer vision and machine learning solutions.
Job Qualifications: A B.tech or BE degree is required, as well as 1-2 years of expertise in computer vision and deep learning. Knowledge of OpenCV, sklearn, Theano, TensorFlow, and PyTorch.
22. Machine Learning Engineer - NLP
Company: Charmboard
Location: Bengaluru North, Karnataka, India
Job Responsibilities: Create innovative structures for detecting, categorizing, and tracking objects. Create effective Deep Learning architectures that can be used with NVIDIA hardware in real-time. Improve the stack for use with embedded devices. Enhance the process of Data gathering, preparation, and analysis.
Job Qualifications: Knowledge of languages and frameworks like Python, C++, CUDA, TensorRT, Pytorch, Tensorflow, and ONNX. Adequate familiarity with Linux and version control (Git, GitHub, GitLab). Skilled in using OpenCV and Deep Learning to address issues in the image domain. Knowing how to use Nvidia platforms like Drive AGX Pegasus, Jetson AGX Xavier, etc. to deploy Deep Learning models for real-time applications.
