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.
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
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
Analytical Skills: Have to work with large amounts of data. You will need to see through the data and analyze it to find conclusions. Need maths skills to estimate numerical data. Communication Skills: You will need to write and speak clearly, easily communicating complex ideas. Critical Thinking: Must look at the numbers, trends, and data and come to new conclusions based on the findings. Attention to Detail: So be vigilant in the analysis to come to correct conclusions. Programming Skills: Should know python programming, R, Mysql, and Hadoop. Deep learning Skills: Should have worked on machine learning & deep learning.
Job Requirement Installation, configuration and administration of Big Data components (including Hadoop/Spark) for batch and real-time analytics and data hubs Capable of processing large sets of structured, semi-structured and unstructured data Able to assess business rules, collaborate with stakeholders and perform source-to-target data mapping, design and review. Familiar with data architecture for designing data ingestion pipeline design, Hadoop information architecture, data modeling and data mining, machine learning and advanced data processing Optional - Visual communicator ability to convert and present data in an easy comprehensible visualization using tools like D3.js, Tableau To enjoy being challenged, solve complex problems on a daily basis Proficient in executing efficient and robust ETL workflows To be able to work in teams and collaborate with others to clarify requirements To be able to tune Hadoop solutions to improve performance and end-user experience To have strong co-ordination and project management skills to handle complex projects Engineering background
We are looking for a passionate software developer who will be responsible for designing, developing, implementing, deploying working applications from bare ideas. He/she will be working on cloud based software for next generation IoT products. Responsibilities Include: - Working from Mumbai closely with the team based in US - Active involvement in designing software architecture, communication protocols & database schema - Documentation, testing, deployment & maintenance - Address and improve any technical issues
About the job: - You will architect, code and deploy ML models (from scratch) to predict credit risk. - You will design, run, and analyze A/B and multivariate tests to test hypotheses aimed at optimizing user experience and portfolio risk. - You will perform data exploration and build statistical models on user behavior to discover opportunities for decreasing user defaults. And you must truly be excited about this part. - You’ll use behavioral and social data to gain insights into how humans make financial choices - You will spend a lot of time in building out predictive features from super sparse data sources. - You’ll continually acquire new data sources to develop a rich dataset that characterizes risk. - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. About you: - You’ve strong computer science fundamentals - You’ve strong understanding of ML algorithms - Ideally, you have 2+ years of experience in using ML in industry environment - You know how to run tests and understand their results from a statistical perspective - You love freedom and hate being micromanaged. You own products end to end - You have a strong desire to learn and use the latest machine learning algorithms - It will be great if you have one of the following to share - a kaggle or a github profile - Degree in statistics/quant/engineering from Tier-1 institutes.
About the job: - You will work with data scientists to architect, code and deploy ML models - You will solve problems of storing and analyzing large scale data in milliseconds - architect and develop data processing and warehouse systems - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. - You will develop tools and products that provide analysts ready access to the data About you: - Strong CS fundamentals - You have strong experience in working with production environments - You write code that is clean, readable and tested - Instead of doing it second time, you automate it - You have worked with some of the commonly used databases and computing frameworks (Psql, S3, Hadoop, Hive, Presto, Spark, etc) - It will be great if you have one of the following to share - a kaggle or a github profile - You are an expert in one or more programming languages (Python preferred). Also good to have experience with python-based application development and data science libraries. - Ideally, you have 2+ years of experience in tech and/or data. - Degree in CS/Maths from Tier-1 institutes.
Does the current state of media frustrate you? Do you want to change the way we consume news? Are you a kickass machine learning practitioner and aspiring entrepreneur, who has opinions on world affairs as well? If so, continue reading! We at UnFound are developing a product which simplifies complex and cluttered news into simple themes, removes bias by showing all (& often unheard of) perspectives, and produce crisp summaries- all with minimal human intervention! We are looking for passionate and experienced machine learning ENGINEER/INTERN, *preferably* with experience in NLP. We want someone who can take initiatives. If you need to be micro-managed, this is NOT the role for you. 1. Demonstrable background in machine learning, especially NLP, information retrieval, etc. 2. Hands on with popular data science frameworks- Python, Jupyter, TensorFlow, PyTorch. 3. Implementation ready background in deep learning techniques like word embeddings, CNN, RNN/LSTM, etc. 4. Experience with productionizing machine learning solutions, especially ML powered mobile/ web-apps/ BOTs. 5. Hands on experience on AWS, and other cloud platforms. GPU experience is strongly preferred. 6. Thorough understanding of back-end concepts, and databases (SQL, Postgres, NoSQL, etc.) 7. Good Kaggle (or similar) scores, MOOC (Udacity, Coursera, fast.ai, etc.) preferred.
Does the current state of media frustrate you? Do you want to change the way we consume news? Are you a kickass software ninja and aspiring entrepreneur, who has opinions on world affairs as well? If so, continue reading! We at UnFound are developing a product which simplifies complex and cluttered news into simple themes, removes bias by showing all (& often unheard of) perspectives, and produce crisp summaries- all with minimal human intervention! We are looking for a passionate and experienced CTO level person to join us! (don't worry, you don't need grey hairs &/or a suit). We want someone who can take initiatives. If you need to be micro-managed, this is NOT the role for you. __ Few things we'd like (if) you have: 1. Strong computer science background. 2. Experience in designing end-to-end software products (especially with teams!). 3. Experience with designing web-services, micro-service architecture, RESTful API's. 4. Hands on with front-end frameworks such as Angular, React. 5. Strong experience in web and mobile app development. 6. Be able to architect Machine Learning, Deep Learning (& especially NLP) solutions. 7. Strong experience with relational and NoSQL databases. 8. Hands on with AWS, and other cloud platforms. 9. Excellent DESIGN sense 10. Should be able to manage/guide team While the above points are a plus, curiosity to learn and bias for action is what matters most to us. We're more keen to look at your GitHub/StackOverflow profiles, MOOCs, blogs, etc over CVs.
Responsibilities : The Data Scientist 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 of machine learning, general statistics and data science principles - 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, Artificial Intelligence, Deep learning etc - Experience in some of these applications: Collaborative Filtering, Personalization, Consumer Segmentation, Text Analytics, Information Retrieval, Search Relevance - Solid data management and statistical modelling skills: SAS, R, Mahout, Matlab, Python (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 orientation, being team player - Candidate should be comfortable with working from clients- office Qualifications : - B.E./B.Tech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IIIT/REC) in Computer Science/Statistics/IT/ECE stream - M.S. or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent - Minimum 4+ years of relevant work experience in Data Science Requirement : - 4+ years of IT experience in data-driven or AI technology products - Hands-on expertise on analytical tools like R, SAS, Tableau, Excel. - Excellent communication, interpersonal and managerial skills - Ability to work with minimal supervision in a dynamic and timeline sensitive work environment - Team management experience is must - Work collaboratively with the Founders and Accounts Leads in terms of project execution and timelines. - Experience in decision science tools and techniques will be added advantage.
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.
Job Title: Machine Learning Engineer 1) Minimum 1 year exp in Data Science/Natural Language Processing and Machine Learning 2) Good grasp of one of the following but not limited to languages: Java, C++, 3) Good grasp of Python, 4) Familiar with various ML libraries such as the following but not limited to: Scipy, Numpy, Tensorflow 5) Has worked previously in NLP and/or ML/Deep Learning Projects.
Opportunity to build a product ground up. Solving for one of the first use cases where we can do a successful business deployment of NLP techniques and Machine Learning. More when we speak! Indicative salary post funding. Currently bootstrapped to build a demo POC. Significant Equity on offer. Keen to connect with folks with an entrepreneurial bend and not pseudo entrepreneurs looking for the cushion of a fat salary from the get go.
Nextalytics is an offshore research, development and consulting company based in India that focuses on high quality and cost effective software development and data science solutions. At Nextalytics, we have developed a culture that encourages employees to be creative, innovative, and playful. We reward intelligence, dedication and out-of-the-box thinking; if you have these, Nextalytics will be the perfect launch pad for your dreams. Nextalytics is looking for smart, driven and energetic new team members.