About UpGrad : 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 Analytics, Product Management, Digital Marketing, and Entrepreneurship, and was rated as one of the top 10 most innovative companies in India for 2017 - https://www.fastcompany.com/most-innovative-companies/2017/sectors/india . We plan to launch 6 more programs in technology and management education. UpGrad is co-founded by 3 IITD alumni, and the 4th co-founder is serial entrepreneur Ronnie Screwvala. UpGrad has a committed capital of 100Cr and in the first year of operations, has built the largest revenue generating online program in India (PG Diploma in Data Analytics) and the largest enrolment online program in India (Startup India learning program). 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. Position : Senior Data Scientist Position Type : Full Time Location : Mumbai Job Description: Are you excited by the challenge and the opportunity of applying data-science and data-analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education? If this is you, come join us and become a part of the UpGrad technology team. At UpGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to our marketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired career outcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand. We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment. Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company. Basic Qualifications: 3+ years of experience in analytics, data science, machine learning or comparable role Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline Experience in building and deploying Machine Learning models in Production systems Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders Comfortable dealing with ambiguity and competing objectives Preferred Qualifications: Experience in Text Analytics, Natural Language Processing Advanced degree in Data Science/Data Analytics or Math/Statistics Comfortable with data-visualization tools and techniques Knowledge of AWS and Data Warehousing Passion for building data-products for Production systems - a strong desire to impact the product through data-science techniques
What will you do? ------------------------ Solve problems in speech and NLP domain using advanced Deep learning and Machine Learning techniques. Few examples of the problems are - * Limited resource Speaker Diarization on mono-channel recordings in noisy environment. * Speech Enhancement to improve accuracy of downstream speech analytics tasks. * Automated Speech Recognition for accent heavy audio with a noisy background. * Speech analytic tasks, which include: emotions, empathy, keyword extraction. * Text analytic tasks, which include: topic modeling, entity and intent extraction, opinion mining, text classification, and sentiment detection on multilingual data. A typical day at work ----------------------------- You will work closely with the product team to own a business problem. You will then model the business problem into a Machine Learning problem. Next you will do literature review to identify approaches to solve the problem. Test these approaches, identify the best approach, add your own insights to improve the performance and ship that to production! What should you know? --------------------------------- * Solid understanding of Classical Machine Learning and Deep Learning concepts and algorithms. * Experience with literature review either in academia or industry. * Proficiency in at least one programming language such as Python, C, C++, Java, etc. * Proficiency in Machine Learning tools such as TensorFlow, Keras, Caffe, Torch/PyTorch or Theano. * Advanced degree in Computer Science, Electrical Engineering, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics Why DeepAffects? -------------------------- * You’ll learn insanely fast here. * Esops and competitive compensation. * Opportunity and encouragement for publishing research at top conferences, paid trips to attend workshop and conferences where you have published. * Independent work, flexible timings and sense of ownership of your work. * Mentorship from distinguished researchers and professors.
We are looking for backend developers to architect, develop and maintain complete backend of our web & mobile based products at Codoc Technologies. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. The role will contribute in the following ways: * Write the backend of the app from scratch.* Increase performance & user experience of backend systems, while adding new capabilities.* Add new layers to the backend using rules & learning-based algorithms. * Strengthen and scale our analytics & reporting engines. Job Responsibilities: - Backend software development - Optimise design & code for performance & scalability - Write reusable & maintainable code - Work closely with founders & rest of the tech team - Respond quickly to customer service issues - Hands-on with deployment & AWS - Be available for live issues and contribute to maintaining application uptime Candidate Technical Attributes: - 2+ years of technical experience, preferably with a startup.- Proficient in Python or any modern backend stack - Experience with Django or Flask- Comfort level with few technologies of a modern stack such as MongoDB, Redis, npm, AWS, etc - Strength in logical programming - Machine Learning algorithms experience is a plusCandidate General Attributes: - Passion for technology - Eager to learn - Hunger to make a difference - Ability to get things done
Preferred - Immediate candidate What do we expect from candidate 1) Candidate should have over 4 years of experience in software development, data management, visualization and data science 2) Should posses minimum 2 years of experience of data analytics model development and deployment 3) Strong interest in Mathematics/Statistics 4) Experience in BFSI will be preferred 5) Natural passion towards numbers, coding, data manipulation & visualization Necessary skill set: 1) Good understanding of algorithms, mathematical models, statistical techniques, data mining, like Regression models, Clustering/ Segmentation, time series forecasting, Decision trees/Random forest, etc. 2) Ability to choose the right model for the data and translate that into code in R, Python, (Proven capabilities in R / Python language) 3) Should have handled large datasets and good understanding of SQL