Responsibilities: The Machine & Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business. The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) & ML solutions based on our reference architecture which is underpinned by big data & cloud technology, micro-service architecture and high performing compute infrastructure. Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation. Required Skills: An ideal candidate will have a background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems. Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open-source libraries Strong coding skills and fundamentals in data structures, predictive modeling, and big data concepts Experience in designing full stack ML solutions in a distributed computing environment Experience working with Python, Tensor Flow, Kera’s, Sci-kit, pandas, NumPy, AZURE, AWS GPU Excellent communication skills with multiple levels of the organization Image CNN, Image processing, MRCNN, FRCNN experience is a must.
Responsibilities You will be implementing end-to-end Intelligent Video Analytics (IVA) solutions and analytics for heterogeneous computing platforms, developing deep learning accelerators and scaling from edge devices to enterprise systems Implement and develop applications and solutions using cutting-edge state of the art distributed technologies to ensure scalability, reliability and efficiency Build edge-cloud interactions using microservices architecture Participate in a product development lifecycle that values high-standards for clear requirements, software quality and performance Implement and extend portions of the DeepStream SDK from NVIDIA and APIs that interface with hardware-accelerated libraries for artificial intelligence, multimedia, graphics and display technologies Must Have: Excellent C/C++ programming and software design skills including debugging, performance analysis and test design Experience with databases such as MySQL, Mongo DB, LMDB, Memcached, LevelDB Knowledge on Python will be useful Good to Have: Understanding of deep learning or computer vision technologies Experience with application of computer vision and/or AI to video and/or audio streams Understanding and experience with docker Experience with GStreamer, OpenCV, EGL framework, CUDA, TensorRT, NVIDIA visual profiler About SmartCow: SmartCow is an AI engineering company involved in developing Machine Learning algorithms, that works on embedded systems and mega servers,we also specialise in image sensors and edge ai. Lets build smart cities together We started in April 2016, in Singapore. Currently we are a R&D company with a team of 25, which includes engineering team of Senior Scientists in Deep learning and machine learning based out of Toulouse, France also expanding the team in Hyderabad, India We are expanding fast in Hyderabad to focus on NVIDIA Deepstream, we are hiring people are developing the required talent, a labelling team based out of Singapore, and a Data center in Malta.
Job Description Want to make every line of code count? Tired of being a small cog in a big machine? Like a fast-paced environment where stuff get DONE? Wanna grow with a fast-growing company (both career and compensation)? Like to wear different hats? Join ThinkDeeply in our mission to create and apply Enterprise-Grade AI for all types of applications. Seeking an M.L. Engineer with high aptitude toward development. Will also consider coders with high aptitude in M.L. Years of experience is important but we are also looking for interest and aptitude. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility. Experience 10+ Years Location Bozeman/Hyderabad Skills Required Skills: Bachelors/Masters or Phd in Computer Science or related industry experience 3+ years of Industry Experience in Deep Learning Frameworks in PyTorch or TensorFlow 7+ Years of industry experience in scripting languages such as Python, R. 7+ years in software development doing at least some level of Researching / POCs, Prototyping, Productizing, Process improvement, Large-data processing / performance computing Familiar with non-neural network methods such as Bayesian, SVM, Adaboost, Random Forests etc Some experience in setting up large scale training data pipelines. Some experience in using Cloud services such as AWS, GCP, Azure Desired Skills: Experience in building deep learning models for Computer Vision and Natural Language Processing domains Experience in productionizing/serving machine learning in industry setting Understand the principles of developing cloud native applications Responsibilities Collect, Organize and Process data pipelines for developing ML models Research and develop novel prototypes for customers Train, implement and evaluate shippable machine learning models Deploy and iterate improvements of ML Models through feedback
Software Engineer – ML at Indix provides an opportunity to design and build systems that crunch large amounts of data everyday What We’re Looking For- 3+ years of experience Ability to propose hypothesis and design experiments in the context of specific problems. Should come from a strong engineering background Good overlap with Indix Data tech stack such as Hadoop, MapReduce, HDFS, Spark, Scalding, Scala/Python/C++ Dedication and diligence in understanding the application domain, collecting/cleaning data and conducting experiments. Creativity in model and algorithm development. An obsession to develop algorithms/models that directly impact business. Master’s/Phd. in Computer Science/Statistics is a plus Job Expectations Experience working in text mining and python libraries like scikit-learn, numpy, etc Collect relevant data from production systems/Use crawling and parsing infrastructure to put together data sets. Survey academic literature and identify potential approaches for exploration. Craft, conduct and analyze experiments to evaluate models/algorithms. Communicate findings and take algorithms/models to production with end to end ownership.
We are looking for Freelance online Data Scientist Trainers who can work with us part - time with the following skills: Experience using statistical computer languages (R, Python etc.) to manipulate data and draw insights from large data sets. Should have strong programming & Good applied statistics skills, such as distributions, statistical testing, regression, etc. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Few examples are k-NN, Naive Bayes, SVM, Decision Forests,Random Forest ,Support vector machine,Principal component analysis. Experience using natural language processing techniques and Deep Learning using TensorFlow will be a plus. Should have minimum 5 years of relevant work experience.