Candidate should have e-commerce experience and must be an IIT or NIT GRADUATE.
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)
Massive amounts of data and computing power available today allow interesting things to be done with deep learning. However, enterprises can unlock the true strength of this technology only when it pervades wide and deep into their systems affecting core workflows and processes. Agara Labs solution is an end-to-end system of engagement for large enterprises. Hosted on the cloud, it deploys quickly and seamlessly over existing storage systems. Agara Labs is leveraging cutting edge machine learning and artificial intelligence to solve peculiar and thorny problems for large enterprise customers. Our small, tightly knit team includes senior ML practitioners from global internet giants and engineers with experience of thinking up and deploying complex architectures. We are based in Bangalore and develop products for enterprises with a global footprint. (https:// www.agaralabs.com/) Responsibilities: As an ML Engineer / Data Scientist, you will work on cutting edge problems in Natural Language Processing using Deep Learning. • Perform exploratory data analysis to understand the problem • Implement and experiment with different features and architectures for Deep-Learning models for NLP • Do literature review and come up with possible solutions • Do visualisation for understanding the problem and showcasing models • Make the model faster for real-time predictions • Build tools to help the team build models and deploy them Who you are: • B.Tech, M.Tech or Ph.D in Computer Science or equivalent work experience • Knowledgeable on common data structures and algorithms • Knowledgeable in one or more of the following : Machine Learning / Information Retrieval / Deep Learning / NLP • 3+ year experience working with real world datasets • Strong interest in solving real world problems in Machine Learning • Programming experience (in any programming language) is a must • Good familiarity with Python and its scientific computing / ML ecosystem is preferable. What we offer: Apart from all the general benefits of best in industry compensation, benefits & perks, we are proud of our great talents, great work & great culture. Be believe in mutual trust, flexibility & transparency. Our Co-Founders: Mr. Abhimanyu Singh (Co-Founder, COO): https://www.linkedin.com/in/abhimanyu-singh-2074/ Mr. Arjun Maheswaran (Co-Founder, CTO): https://www.linkedin.com/in/arjunmaheswaran/ We are in news: https://medium.com/agara-labs/pre-series-a-blume-rtp-f277a1000525 https://yourstory.com/2019/02/challenges-developing-managing-ai https://factordaily.com/agara-labs/
About Us upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow. upGrad was awarded the Best Tech for Education by IAMAI for 2018-19 upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-after startups in India upGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany. We were also covered by the Financial Times along with other disruptors in Ed-Tech upGrad is the official education partner for Government of India - Startup India program too Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning Job Description We're looking for a hands-on technical leader to head the Data Science and Data Engineering vertical within the Technology team who can work alongside Business stakeholders & Product managers to drive the creation of data-driven products/platforms. Responsibilities: Ownership of end-to-end initiatives across all products and services in upGrad in the data domain - data engineering, data science, and product analytics Lead, mentor and guide our team of Data Analysts, Data-Engineers and Data Scientists Establishment and execution of the tech data roadmap balancing short term and long term needs to ensure that the architecture can scale and evolve Data Engineering would entail envisioning and extending our Redshift data-warehouse Architecting robust data-ingestion pipelines from internal and external sources Domain schema creation and democratizing data for all stakeholders Monitoring and Administration of all data services and tech that goes with it Mentoring and guiding our data-engineers to execute on these initiatives Data Science would entail ideating, development and delivery of data-science backed products and services across entire upGrad domain - Learn, Career, Sales and Marketing Understanding the business domain and ideating/brainstorming potential data-science solutions Collaborating with Product & business stakeholders on feasibility, impact, execution, delivery as well as adoption Hands-on architecting, reviewing and mentoring the data-science team to execute on these projects/initiatives both on data and tech side and deploy them into the Production environment Data Analytics would entail envisioning and supporting all product analytics initiatives. Ease of access of the right data-points and visualizations to enable teams to make strong data-backed decisions at all aspects in upGrad Guiding/Mentoring our data analysts on approach and data sources available for delivering on the analytics required Understanding all the nitty-gritty of the Product and end-to-end user delivery to able to deliver holistic analytics Collaborating with product and business stakeholders to make sure their data needs are fulfilled as per the need and feasibility Owning the administration of the various data-analytics tools and services. Overall would be a data evangelist who is constantly pushing the team to collect, organize, share and utilize data in meaningful ways to better the product and it’s services. At it’s core who is serious about data integrity, data security as well as ethical sourcing/utilization of data Qualifications: A suitable candidate in this position will be a strategic/innovative thinker who is proactive and self-drives requires minimal supervision and is able to build a strong data-focused team. A Tech Data expert, goto person for all things data, software and technology. 6+ years of experience in leading and building strong data-powered products and services Master’s or higher education in the field of Stats, Data, Computer Science preferred Hands-on experience in building data-warehouse, ETL pipelines from scratch and supporting those in Production Environments. Hands-on experience in building and deploying machine learning/natural language processing based data-products Strong drive to understand the domain and sharp analytical thinker to ideate on how data-driven products/services can help drive the business Strong programming skills in Python and SQL Strong understanding of relational and non-relational databases Strong understanding of the various technologies/tools/libraries upcoming and available in this area and can drive the adoption of those as per the business needs and future growth Ability to handle multiple simultaneous projects, prioritize and meet tight impact based deadlines; alongside being organized and calm when while dealing with a lot of uncertainties and unknowns Excellent interpersonal and communication skills
Desired Candidate Profile BE/BTech (3-5 years industry experience) or MTech (AI/CS) (2-3 years industry experience) 3+ years Machine Learning experience 3+ years of Python experience Mandatorily should have implemented ML solution(s) that is/are live in production. Knowledge of ML Solution Design and building from scratch is a plus. Strong enthusiasm to work in Start-up environment. Maths and Stats Grasp of Basic Statistics, Hypothesis test, etc. Ability of understand mathematical equations in research papers. Good understanding of maths behind ML techniques like SVM, etc. Machine Learning Good understanding of machine learning concepts: regression, classification, clustering Concepts of Image processing, computer vision Familiar with deep learning principles like deep neural nets, conv nets, recurrent nets etc. Should be able to pick up different applications and industries like chatbot, recommendation engine, manufacturing automation, transport optimization. Python Strong grasp in Python numpy, pandas, matplotlib is a must Basic understanding of application frameworks, APIs, Server-Client, Django is a plus.
About Artivatic :Artivatic is technology startup that uses AI/ML/Deeplearning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 20+ team focus on technology. Artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access and health benefits with alternative data sources to increase their productivity, efficiency, automation power and profitability, hence improving their way of doing business more intelligently & seamlessly. Artivatic offers lending underwriting, credit/insurance underwriting, fraud, prediction, personalization, recommendation, risk profiling, consumer profiling intelligence, KYC Automation & Compliance, automated decisions, monitoring, claims processing, sentiment/psychology behaviour, auto insurance claims, travel insurance, disease prediction for insurance and more. We have raised US $300K earlier and built products successfully and also done few PoCs successfully with some top enterprises in Insurance, Banking & Health sector. Currently, 4 months away from generating continuous revenue.What We are Looking for?- We are looking experienced, seasoned technology professional or entrepreneur who have hands on building deep-tech/SaaS products. - Someone who think to build next billion dollar tech enterprise company based out of India which can solve finance/insurance/healthcare problem at massive scale. Someone who live for code and breathe for code. Skills/Experience :- More than 5+ years technology product building experience - Have either worked in startups or in large enterprises for scalable products- Knowledge in SCALA/Java/Python/Cassandara/Deeplearning/AI/ML/architecture- Data science/Algorithms/Statistics/Mathematics expert - Someone looking to build next billion dollar enterprise - Hands on-coding experience - Willing to work with small team- Willing to work in startup environment - Ability to lead technology team, execute projects well- Building innovative product ideas, algorithms and development - Someone who can built exceptional tech team, convert business problems in to technology solutions - Someone who think to start own companyCompensation & Equity :- Being startup, compensation is not high. Equity 3-4%. CTO Can also invest in company to buy more equity if want based on current valuation with some discount on it.