We at artivatic are seeking passionate, talented and research focused natural processing language engineer with strong machine learning and mathematics background to help build industry-leading technology. - The ideal candidate will have research/implementation experience modeling and developing NLP tools and experience working with machine learning/deep learning algorithms.Qualifications :- Bachelors or Master degree in Computer Science, Mathematics or related field with specialization in natural language processing, Machine Learning or Deep Learning.- Publication record in conferences/journals is a plus.- 2+ years of working/research experience building NLP based solutions is preferred.Required Skills :- Hands-on Experience building NLP models using different NLP libraries ad toolkit like NLTK, Stanford NLP etc.- Good understanding of Rule-based, Statistical and probabilistic NLP techniques.- Good knowledge of NLP approaches and concepts like topic modeling, text summarization, semantic modeling, Named Entity recognition etc.- Good understanding of Machine learning and Deep learning algorithms.- Good knowledge of Data Structures and Algorithms.- Strong programming skills in Python/Java/Scala/C/C++.- Strong problem solving and logical skills.- A go-getter kind of attitude with a willingness to learn new technologies.- Well versed with software design paradigms and good development practices.Responsibilities :- Developing novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing.- Developing NLP based tools and solutions end to end.
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
About Loonycorn: Founded by Google, Stanford and Columbia alumni, Loonycorn is a leading studio for e-learning content on machine learning, cloud computing, blockchain and other emerging technologies. About the Role: We are looking for folks to make technical content similar to what you'd find at the links below: https://www.pluralsight.com/search?q=janani+ravi https://www.pluralsight.com/search?q=vitthal+srinivasan https://www.udemy.com/u/janani-ravi-2/ This involves: - learning a new technology from scratch - building realistic, pretty complicated programs in that technology - creating clear, creative slides or animations explaining the concepts behind that technology - combining these into a polished video that you will voice-over What is important to us: - Grit - Perseverance in working on hard problems. Technical video-making is difficult and detail-oriented (that's why it is a highly profitable business) - Craftsmanship - Our video-making is quite artisanal - lots of hard work and small details. There are many excellent roles where doing smart 80-20 trade-offs is the way to succeed - this is not one of them. - Clarity - Talking and thinking in direct, clear ways is super-important in what we do. Folks who use a lot of jargon or cliches, or who over-complicate technical problems will not enjoy the work. - Creativity - Analogies, technical metaphors and other artistic elements are an important part of what we do. What is not all that important to us: - Your school or labels: Perfectly fine whatever college or company you are applying from - English vocabulary or pronunciation: You don't need to 'talk well' or be flashy to make good content
Ideal candidate would be the part of initial founding team to lead the technology development and transform the firms vision into deliverables through technology applications. His/her responsibilities includes but not limited to Writing python codes for various market data which includes technical, fundamental and sentiment studies. Build and develop the efficient architecture of the product to improve the performance and computing speed. Deploy and maintain the product on cloud server Manage data and database Working with designer and UI team to integrate frontend with backend Resolving technical glitches faced by users Basic knowledge of Machine learning