Cartisan is a start-up building AI-based software products for automotive & EV companies to better engage with their customers and enhance overall experience of owning / using a car. For building SAAS software supporting cloud, mobile and in-car apps with Machine Learning and AI capabilities, we are hiring experienced Computer Vision Engineers at our Bangalore office What’s on offer – Opportunity to lead development of a global tech product, competitive pay and stock options Requirements: 1)Experience in Deep learning using Convolutional Neural Networks 2)Sound knowledge of Object detection,Semantic segmentation,Instance segmentation(Faster-RCNN,Single shot multibox detector(SSD),Mask RCNN,Mobile-net) 3)Classic Image processing techniques using OpenCV 4)Proficiency in Python 5)Should be comfortable building ML models on various deep learning and machine learning libraries using tensorflow,keras,scikit-learn,Numpy,etc 6)Familiarity with Amazon Web service( Elastic Cloud Compute(EC2),Amazon Sagemaker)
How often have you read job descriptions and gone ‘I have read this before’ or ‘the real job description will come out during the interviews, so why bother reading this’. In other instances when job descriptions are actually well-written, ie not just copied and pasted from somewhere and try doing justice to what you’d be doing at the job, 2-4 months of a typical interview cycle make those descriptions obsolete by the time you actually start at the job. Also not unsurprising then: just like you ignore or skim through job descriptions, most recruiters do the same with your resumes – look for specific keywords and leave all the assessment for during the interview itself. Even worse: the human recruiter in some cases is being replaced by an algorithm to automate screening. You, therefore, will try to put as many keywords in your resume to ensure you get that interview call. Nobody is being ingenuine in this process but the very process is fundamentally broken. And that is exactly what we want to solve: create an effective ‘matching of work to the worker’ that is an accurate and real-time reflection of both ends, thus increasing the actual engagement with the work itself. Responsibilities In this role, you’ll build and implement novel Machine Learning and Deep Learning systems on our platform as well as help build the infrastructure to train and deploy them. Specifically, you will: - Design and implement the infrastructure required to train models at scale. - Work with the data team’s infrastructure to build real-time and offline feature databases. - Work with the data team to create the infrastructure to build and maintain the datasets from which models are created - Build the model serving systems with which we can deploy our models to production - As we grow, scale the ML system to be able to support more use cases and ML model types. Requirements - 1+ years of experience building production-ready ML models and systems. - 3+ years of building distributed systems and/or scalable backend systems and the ability to maintain such systems in production. - Strong software engineering fundamentals - understanding of data structures and algorithms, O-notation, ability to maintain a test suite and write clear maintainable code. - Familiarity with the majority of the following tools: Tensorflow, Numpy, Scipy, SparkML, pandas, scikit-learn. - Demonstrated leadership and self-direction and willingness to both teach others and learn new techniques. - Experience with big data processing and storage systems: Hadoop, Spark, Hbase, Cassandra etc. - Strong programming skills in Python. Intermediate to Advanced knowledge of SQL and ability to wrangle data from many disparate data sources - Technologies we use: MySQL, Python, AWS, Snowflake, R, and Looker, among many others.
Responsibilities :- Define the short-term tactics and long-term technology strategy.- Communicate that technical vision to technical and non-technical partners, customers and investors.- Lead the development of AI/ML related products as it matures into lean, high performing agile teams.- Scale the AI/ML teams by finding and hiring the right mix of on-shore and off-shore resources.- Work collaboratively with the business, partners, and customers to consistently deliver business value.- Own the vision and execution of developing and integrating AI & machine learning into all aspects of the platform.- Drive innovation through the use of technology and unique ways of applying it to business problems.Experience and Qualifications :- Masters or Ph.D. in AI, computer science, ML, electrical engineering or related fields (statistics, applied math, computational neuroscience)- Relevant experience leading & building teams establishing technical direction- A well-developed portfolio of past software development, composed of some mixture of professional work, open source contributions, and personal projects.- Experience in leading and developing remote and distributed teams- Think strategically and apply that through to innovative solutions- Experience with cloud infrastructure- Experience working with machine learning, artificial intelligence, and large datasets to drive insights and business value- Experience in agents architecture, deep learning, neural networks, computer vision and NLP- Experience with distributed computational frameworks (YARN, Spark, Hadoop)- Proficiency in Python, C++. Familiarity with DL frameworks (e.g. neon, TensorFlow, Caffe, etc.)Personal Attributes :- Excellent communication skills- Strong fit with the culture- Hands-on approach, self-motivated with a strong work ethic- Ability to learn quickly (technology, business models, target industries)- Creative and inspired.Superpowers we love :- Entrepreneurial spirit and a vibrant personality- Experience with lean startup build-measure-learn cycle- Vision for AI- Extensive understanding of why things are done the way they are done in agile development.- A passion for adding business valueNote: Selected candidate will be offered ESOPs too.Employment Type : Full TimeSalary : 8-10 Lacs + ESOPFunction : Systems/Product SoftwareExperience : 3 - 10 Years
Please apply if and only if you enjoy engineering, wish to write a lot of code, wish to do a lot of hands-on Python experimentation, already have in-depth knowledge of deep learning. This position is strictly for people having knowledge various Neural networks and can customize the neural network and not for people who have experience in downloading various AI/ML code. This position is not for freshers. We are looking for candidates with AI/ML/CV experience of at least 2 year in the industry.