Couture.ai is building a patent-pending AI platform targeted towards vertical-specific solutions. The platform is already licensed by Reliance Jio and few European retailers, to empower real-time experiences for their combined >200 million end users. For this role, credible display of innovation in past projects (or academia) is a must. We are looking for a candidate who lives and talks Data & Algorithms, love to play with BigData engineering, hands-on with Apache Spark, Kafka, RDBMS/NoSQL DBs, Big Data Analytics and handling Unix & Production Server. Tier-1 college (BE from IITs, BITS-Pilani, top NITs, IIITs or MS in Stanford, Berkley, CMU, UW–Madison) or exceptionally bright work history is a must. Let us know if this interests you to explore the profile further.
Looking for senior data science researchers. Basic Qualifications: Bachelors in Computer Science/Mathematics and IISC/TopGlobal MS/PhD (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas). 3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems. 1+ year of experience specifically with deep learning (CNN, RNN, LSTM, RBM etc). Strong working knowledge of deep learning, machine learning and statistics. Strong math skills with statistical modelling / machine learning. Hands-on experience building models with deep learning frameworks like MXNet or Tensorflow. Experience in using Python, statistical/machine learning softwares. Strong communication and data presentation skills. Ability to think creatively and solve problems. Please share links to your published research work.
Role: DataScientist Location: Bangalore Job description: What will you do ?? • Develop, process, cleanse and enhance data collection procedures from multiple data sources • Conduct & deliver experiments and proof of concepts to validate business ideas and potential value. • Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy. • Work closely with product teams to implement algorithms with R and/or Python. • Design and implement scalable predictive models, classifiers leveraging machine learning, data regression. • Facilitate integration with enterprise applications using APIs to enrich implementations. Ideal Characteristics? • 10+ years of experience in designing/developing industrial IT solutions • Minimum 3 years of experience in developing and deploying machine learning, deep learning, NLP solutions. • Experience with common data science toolkits, such as R, NumPy - Excellence in at least one of these is mandatory. • Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase • Should have good awareness on entire machine learning/ predictive modeling & implementation process: Model design, feature planning, system infrastructure, production setup and monitoring, and release management. • Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc. • Experience in selecting features, building and optimizing classifiers using machine learning techniques. • Prior experience with data visualization tools, such as D3.js, GGplot, etc. • Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc. • Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders. Candidate Philosophy: • Proven Ability to learn and work on latest technology, have good analytical skills and pickup faster. • Should have excellent communication, interpersonal skills and be a team player. • Should have Strong Leadership skills to drive the technical aspects of the project. • Able to act as the technical change agent in the project, mentoring the lesser experienced • Experience in building strong relationship with the Onsite Counterparts
About Quantiphi: Quantiphi is a category-defining Data Science and Machine Learning software and services company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are trans-formative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design. For more details, visit: www.quantiphi.com. Job Description: The Decision Science Analyst will lead client-facing engagements aimed at solving clients- most challenging business problems through the use of inspired analytics; the assembly and integration of disparate data sources, application of machine learning methods and impactful interpretation and communication of key insights through intuitive visualization and decision support tools. Desired Profile: • Strong fundamentals in machine learning, general statistics and data science principles • 1-4 years of experience with some of these methods: Regression, Decision Trees, CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Fuzzy Systems, Bayesian Belief, Networks, Support Vector Machines, Ensemble Methods, Association Rules, Singular Value Decomposition, Principal Component Analysis, Clustering • Experience in any of these applications: Collaborative Filtering, Personalization, Consumer Segmentation, Text Analytics, Information Retrieval, Search Relevance • Experience in implementing Deep Learning problems (Computer Vision, NLP etc.) from scratch [with Github codes exposed]. • Solid data management and statistical modeling skills: R, Mahout, Matlab, Python (Tensorflow, SciPy, NumPy), SQL and Excel • Strong problem solving and conceptual thinking, with ability to communicate even complex ideas in a succinct manner • Critical eye for the quality of data and strong desire to get it right • Ability to work in a fast-paced and deadline driven environment • Strong work ethics like sense of collaboration and ownership, result from orientation, being team player candidate should be comfortable with working with clients office Qualifications: • BE/BTech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IIIT/REC) in Computer Science/Statistics/IT/ECE stream • MS or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent • Projects/Courses/relevant work experience in Data Science Required What’s in it for you? • The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients. • The experience of working in a category defining high growth startup in the transformational AI domain. • The opportunity to work for the most challenging problems in the most exciting domain like speech, Computer Vision, NLP and RL. • An ergonomic and beautiful working space in the heart of Mumbai open for you 24 hours.
The Decision Science Analyst will work on translating deep learning research into business solutions while implementing cutting-edge deep learning algorithms on latest Machine Learning platforms. The ideal candidate should have: •Hands-on experience with statistical tools and techniques •Expert level coding experience in Python •Good exposure to Deep learning libraries like Tensorflow, PyTorch etc. •Experience in implementing Deep Learning problems (Computer Vision, NLP etc.) from scratch [with Github codes exposed]. •Should be able to read a paper and pick ideas to quickly implement/augment the current solution in the most comfortable Deep Learning library. •Excellent communication skills What’s in it for you? •The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients. •The experience of working in a category-defining high growth startup in the transformational AI domain. •The opportunity to work for the most challenging problems in the most exciting domain like speech, Computer Vision, NLP and RL. •An ergonomic and beautiful working space in the heart of Mumbai.
Job Responsibilities: Part of the Research team working continuously to improve ShieldSquare’s bot-human classification engine. Analyze billions of web page visits per month amounting to many terabytes of data and apply state-of-the-art Data Science and ML techniques to derive new patterns. As an area expert in ML, guide and mentor junior team members. Requirements: Excellent quantitative skills and experience in statistics and machine learning Interest in learning and applying the learnings to achieve the objectives. Interest in experimentation and data-driven improvisation Experience in leading/mentoring data scientists/ML engineers/scientists Hands-on knowledge of deep learning Any of the following qualifications are preferred: Knowledge of SQL/Visualization tools/Python: Pandas, Scipy suite Knowledge of Deep learning tools: Tensorflow/Keras/PyTorch/Caffe/Theano/Mxnet etc. Completion of online courses in Data Science/ML domain Participation in Data Science/ML competitions Contribution in open source projects Experience in solving real-world Data Science problems Experience in A/B testing, multi-armed bandits, controlled experiments, reinforcement learning What’s in it for you? Experience in working on billions of newly generated data points per month (many terabytes of data) using cutting-edge Data Science tools. Experience in R&D of real-time bot-human classification engine handling 1000s of request per second Work and learn as part of the cross-functional R&D team (some with PhD) building the industry leading bot-human classification engine Play a high impact role in a setting where data-driven improvements are pushed to production code on a daily basis
We are an Technology startup based in Singapore, with development office in Coimbatore and Bangalore. We are setting up AI lab in Bangalore and looking for Trainers in Deep Learning and Artificial Intelligence on Part-time and on-demand basis. Please drop me a line to discuss the opportunities further.
We are a startup looking to redefine how education is perceived and as such believe in a strong independent motivation to learn new things and we look for the same in our employees. The job of the senior developer will bleed in to all aspects of the product cycle not limited to his/her area of expertise and will be expected to have the ability to adapt and learn rapidly on very short iterations of product cycles. Since we are in the early stages we will offer exciting ESOPs to our early employees as well. Cover letters are so old fashioned. Show us who you are with a cover-letter-video. Upload your video to youtube or vimeo. We look forward to meeting you.