Top 11 Machine Learning Jobs You Can Apply For Right Away
The amount of machine learning (ML) applications surfaced in the past couple of years have resulted in a myriad of startups. From top tech giants companies to small startups, ML has been a choice of technology to create solutions and services. Many of these companies’ have branches in India, and offer lucrative ML jobs for candidates with more than three years of experience. Here are a few latest jobs across major cities in India: Computer Vision Engineer at KoiReader Technologies Experience Required: 2 – 5 years The candidates should like writing smart algorithms and dealing with complex problems that require a mix of AI/ML, big data, computer vision, NLP, and interested a dash of probability and statistics to solve. Requirements Strong experience in python and writing fault-tolerant codePlenty of expertise in image processing, OpenCV, SciPy and NumPyGood understanding of optimising data processing pipelinesCommand over geometry, statistics and designing complex algorithmsAnalyze current products in development, including performance, diagnosis and troubleshootingKnowledge of Keras, Tensorflow, PyTorch, TensorRTExperience with Nvidia DeepStreamKnowledge of NLP and NLU (NLTK, Spacy, Flair, etc.)Understanding of Docker and GITFamiliarity with JavaScript. Apply here Machine Learning Engineer at WorkFusion Experience Required: 3-5 years WorkFusion is seeking a Machine Learning Engineer to join our team in India. The position will involve applying practical skills to create a hybrid machine learning and rule-based models using our innovative tools for solving real-world problems. You will collaborate with our customers and build production machine learning models for their needs. Requirements Strong background in data structures and algorithmsGood background in machine learning concepts3-5 years of Java experience, hands-on programming skillsSolid understanding of design patterns and OOPKnowledge on SQL, regex, HTTP, REST, JSON, XML is mustHands-on Maven, Git, JUnit, InteliJ IDEA/EclipseShould be open for work-related travelsHands-on experience with rule-based modelsKnowledge of statistics and probability theory is a plusStandford NLP, Apache UIMA, Tableau, TensorFlow, Python, JavaScript, Linux. Apply here Machine Learning Engineer at Sony India Software Centre Experience Required: 3-5 years Requirements Experience in deep learning, CNN and Tensorflow frameworkStrong knowledge and coding experience on PythonExperience in image processing frameworks like OpenCVExperience in computer vision domainExperience in CNN in image classification, object detection, keypoint detection etc.Experience in training and inferencing the different CNN models      Experience in working on databases like ImageNet, COCO, pascal VOC Apply here Machine Learning Engineer at GoPay Experience Required: 4+ years In this role, one gets to build, deploy and maintain ML models (and related tooling) that drive the way millions of customers pay using GoPay. GoPay is South East Asia’s fastest-growing consumer payments and financial services startup. Requirements Solid understanding of machine learning models and related mathematicsSolid understanding of engineering processes and principles.Experience working with Tensorflow, PyTorch and XGBoostExperience working with Airflow, DockerExperience working with Docker, KubernetesFamiliarity with Kafka/Flink/Spark etcEducation background: Bachelors or Masters in computer science with 4+ years of experience working as a software engineer or machine learning engineer in a product company Apply here Machine Learning Engineer at Apple Experience Required: 3+ years The iPhone Product Operations Data Team is looking for an extraordinary machine learning engineer to join the team. The selected candidate will help design and implement the machine learning strategy to the massive iPhone supply chain and help build the future of the manufacturing systems. Requirements Required a minimum of three years of hands-on experience in applying machine learning techniques to build models coordinated into applications or research.Required strong working knowledge of machine learningProficiency in Python and R. Good understanding of deep learning algorithms and workflows, and experience with Torch, Caffe, MXNet, TensorFlow is a Plus.Experience in Hadoop, Spark, Hive, Cassandra, Kafka and NoSQL databases a plusAbility to significantly present results of analyses in a clear and impactful manner Apply here ML Software Engineer at Qualcomm Experience Required: 5+ years The successful applicant should have a diverse skill set, including a strong background in machine learning, performance testing and analysis, understanding of accelerator architectures and a passion for driving world-class solutions. Required Skills and AptitudesHands-on experience with deep learning frameworks like SNPE, Keras, Caffe/Caffe2, TensorFlow, PyTorch, etc., including performance workUnderstanding of NN architectures and model formats, including ONNX, Caffe2, and TensorflowExperience with machine learning algorithms and architectures, including CNNs, and RNNs/LSTMsKnowledge of Linux infrastructure and development toolsExperience with statistical tools like R, Scikit, MLLib, or similarExperience profiling and optimizing software for CPUs and GPU applicationsDegree in machine learning/AI, Statistics, applied mathematics, computer science, or similar quantitative disciplineExperience with source code and configuration management tools such as git.Good understanding of compilers, LLVM or similar preferredStrong background in mathematical operations: linear algebra, fast math libraries a plusBachelor’s degree in engineering, information systems, computer science, or related field.5+ years as software engineering or related work experience.2+ years of experience with a programming language such as C, C++, Java, Python, etc Apply here ADAS Computer Vision and ML Development Engineer at L&T Experience Required: 3-6 years Requirements Experience in the areas of computer vision, image/video processing, machine learning/deep learning and algorithm developmentProficient in tools for image processing and machine learningKnowledge of concepts in computer vision (object detection, labelling, etc.), machine learning and sensor fusion.Required experience in any two of C, C++, Python, and MATLABUnderstanding of image/video data handling tools.Bachelor’s degree in computer engineering, computer science, electrical engineering, mechanical engineering, physics, robotics or related3+ years’ experience vehicle dynamics simulation (ADAMS, CarMaker, CarSim)3+ years’ experience working in a team-based project from inception to finish across multiple disciplines, e.g., mathematical modelling and algorithm developmentMaster’s degree in computer engineering, computer science, electrical engineering, mechanical engineering, physics, robotics or related Apply here Deep Learning Simulation Lead at Intel Experience Required: 8+ years The candidate will be planning, designing and developing tools and simulation models for deep learning hardware. Invent optimised architectures and layers for training convolutional and recurrent networks. Responsible for instrumenting our SW and HW libraries to evaluate the performance of hardware. This job may contribute to deep learning literature and conferences. Requirements Required masters or PhD in computer science and engineeringStrong C++ programming, python scripting and computer architecture background. Required industry experience of around 8-12 years, with knowledge of simulation / SystemC, is a plus. Apply here. Computer Vision Deep Learning Research Scientist / Engineer at One Plus Experience Required: 2-4 years Requirements Fresh PhD or masters with 2-4 years of thorough industrial work experience in developing computer vision applications with deep learning (deep learning must).Excellent knowledge on any/all of the given concepts in computer vision – namely Image classification, object detection and semantic segmentation developed using state of the art deep learning algorithms.Hands-on experience in developing efficient and real-time convolution, neural network models. Hands-on working experience with any one of the deep learning frameworks – TensorFlow, Caffe, Pytorch.Quick prototyping skills in Python, Coding, and debugging skills in C++.Publications in CVPR, NIPSKnowledge in OpenCV, DLib and basics of Image Processing and Computer Vision.Hands-on knowledge in model compression and pruning in deep learning.Familiarity with GPU computing (CUDA, OpenCL) and HPC. Apply here. Deep Learning at Charmboard Experience Required: 4-6 years Charmboard is the world’s fastest-growing in-video discovery platform. It is transforming the way we engage with video. Requirements BE or master with 4+ years of experienceMust have experience in feature extraction, segmentation and classification of the imageFace detection, alignment, recognition, tracking & attribute recognitionExcellent Understanding of CNN, RNN, TensorFlow, KERAS etc.Real-world expertise in deep learning- applied to computer vision problemsStrong foundation in mathematicsStrong development skills in MATLAB and PythonMust have worked upon Opencv, Tensorflow, Caffe, KerasKnowledge of Version Control(GIT) Apply here. Machine Learning Engineer at Appnomic Experience Required: 3-5 years Requirements 3+ years of professional experience in developing machine learning models, testing and deployment and continuous improvementExperience building ML pipelines using ML frameworks like Scikit or TensorflowShould have expert level proficiency in programming using PythonUnderstanding of data structures, data modelling and software architectureExperience with big data technologies (e.g., NoSQL, Hadoop, Spark, etc.) would be considered a strong plus Apply here
The amount of machine learning (ML) applications surfaced in the past couple of years have resulted in a myriad of startups. From top tech giants companies to small startups, ML has been a choice of technology to create solutions and services. Many of these companies’ have branches in India, and offer lucrative ML jobs for […]
The amount of machine learning (ML) applications surfaced in the past couple of years have resulted in a myriad of startups.
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