Who we are and what we do: Founded in 2002, Cactus Communications (CACTUS) is a global scientific communications company that collaborates with researchers across academic disciplines, universities, publishers, societies, and life science organizations to accelerate research impact. CACTUS’ portfolio of products and services meet a wide spectrum of research needs: Editage provides editorial, translation, education, and training solutions for researchers; Cactus Life Sciences offers strategic and tactical scientific content solutions to global life sciences organizations; PubSURE is the first AI-powered scholarly publishing platform connecting journals and researchers; Impact Science ensures wider research impact via dissemination solutions and research engagement with peers, public, and policy makers; Cactus Labs Powering all. CACTUS businesses with latest technologies is its innovation and R&D cell. We also incubate seed and early stage start-ups that share its mission to solve global problems with science and technology solutions. CACTUS is an international enterprise with offices in Tokyo, Seoul, Shanghai, Beijing, London, Princeton, Mumbai, Bangalore, and Singapore; a global workforce of over 3,000 experts; and customers from over 173 countries. People with an international work experience will feel at home with the work culture at CACTUS. Location: Andheri East, Mumbai (Temporarily Telecommute) About Cactus Labs: Cactus Labs, an R&D and innovation cell of Cactus Communication focuses on reimaging customer experience and publishing workflows leveraging AI and machine learning. We pursue big ideas that power transformation advances at Cactus communications and for our customers to work smarter, faster and secure every day. We are engineers, linguists, researchers, technology leaders and experts working to develop next generation products that are transforming scholarly communications. Our products have a global reach with users in 170+ countries and is required to handle data at massive scale. At Cactus Labs we are looking for software engineers who bring fresh ideas from all areas including information extraction, information retrieval, distributed computing, large scale system design, artificial intelligence, natural language processing and list is growing every day. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on complex real world problems across the industry as we continue to push our limits and advance the technology. The opportunity: We are looking for a software engineering lead who will be part of Cactus Labs and contribute to the digital transformation of publishing industry. As a software engineering lead, you will be involved in designing, reviewing, coding features that enable various language products and services. You will develop software and services at scale, innovating on the latest technologies (Cloud, AI, IoT, AR/VR) while engineering as a DevOps in a highly automated environment with Continuous Integration & Deployment as well as collecting telemetry data that helps us monitor our service and helps diagnose and resolve issues quickly. You will work closely with peers across teams to help build flexible and high-performing components that enable next generation of business services. Unlike most techies, we are extremely social and believe that happiness levels are directly linked to performance. We are generous with our lunchboxes, quirks, smiles, and pranks – all of which help us maintain a vibrant work environment. What’s more - with the best work hour’s ethic in the industry and a company policy that takes fun very seriously, we make sure that we work hard and party harder! Responsibilities Immerse yourself in providing cutting-edge solutions to large-scale information retrieval and distributed processing problems Build and maintain APIs, services and systems Have a relentless focus on scalability, resiliency, performance robustness and cost trade-off while using highly virtualized, elastic, cloud-based environments Continuously drive to explore, improve, enhance, automate and optimize distributed systems and tools to meet evolving business requirements Guide developers in implementation and conduct regular code review Drive a DevOps culture establishing top engineering processes/practices Energize people by motivating and infusing optimism Requirements 4+ years of professional software development experience 2+ years of experience contributing to the architecture and design, delivering scalable and resilient solutions at large enterprise scale 2+ years of Python (C++ or equivalent) experience with the ability to contribute to technical architecture across platforms and data components 2+ years of hands-on experience designing secure, scalable and cost-efficient services on the AWS platform or equivalent cloud platform Experience with microservices and serverless architectures Experience building and shipping consumer-facing products Strong computer science fundamentals(data structure, algorithms, architecture and OO design) Experience shaping a DevOps culture with a vision for building and nurturing an innovative culture Capability to work independently on the most complex code contributions of a feature Awards and Recognition: Acknowledged as the “Best Organization for Women’s Talent Development”, CACTUS was recognized for its valuable contributions toward the empowerment of women in business Recognized as a pioneer of integration and empowerment of millennials, CACTUS was felicitated at the Millennial Max Conference held in November 2019 Named on FlexJob’s global list of the Top 100 Companies to Watch for Remote Jobs in 2019 Emerged among one of the top 10 companies determined as a safe workplace for women in India after a pan-India survey by Rainmaker. Ranked #1 among India’s Great Mid-Size Workplaces by Great Place to Work® Institute (2017) Read more. Connect with us on, LinkedIn, Facebook & Instagram to remain abreast with the latest developments
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 Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning Role Summary 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 ourmarketing 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 careeroutcomes. 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. Roles & Responsibilities 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 Skills Required 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 technique
We are building a global content marketplace that brings companies and content creators together to scale up content creation processes across 50+ content verticals and 150+ industries. Over the past 2.5 years, we’ve worked with companies like India Today, Amazon India, Adobe, Swiggy, Dunzo, Businessworld, Paisabazaar, IndiGo Airlines, Apollo Hospitals, Infoedge, Times Group, Digit, BookMyShow, UpGrad, Yulu, YourStory, and 350+ other brands. Our mission is to become the world’s largest content creation and distribution platform for all kinds of content creators and brands. Our Team We are a 25+ member company and is scaling up rapidly in both team size and our ambition. If we were to define the kind of people and the culture we have, it would be - a) Individuals with an Extreme Sense of Passion About Work b) Individuals with Strong Customer and Creator Obsession c) Individuals with Extraordinary Hustle, Perseverance & Ambition We are on the lookout for individuals who are always open to going the extra mile and thrive in a fast-paced environment. We are strong believers in building a great, enduring a company that can outlast its builders and create a massive impact on the lives of our employees, creators, and customers alike. Our Investors We are fortunate to be backed by some of the industry’s most prolific angel investors - Kunal Bahl and Rohit Bansal (Snapdeal founders), YourStory Media. (Shradha Sharma); Dr. Saurabh Srivastava, Co-founder of IAN and NASSCOM; Slideshare co-founder Amit Ranjan; Indifi's Co-founder and CEO Alok Mittal; Sidharth Rao, Chairman of Dentsu Webchutney; Ritesh Malik, Co-founder and CEO of Innov8; Sanjay Tripathy, former CMO, HDFC Life, and CEO of Agilio Labs; Manan Maheshwari, Co-founder of WYSH; and Hemanshu Jain, Co-founder of Diabeto.Backed by Lightspeed Venture Partners Job Responsibilities:● Design, develop, test, deploy, maintain and improve ML models● Implement novel learning algorithms and recommendation engines● Apply Data Science concepts to solve routine problems of target users● Translates business analysis needs into well-defined machine learning problems, andselecting appropriate models and algorithms● Create an architecture, implement, maintain and monitor various data source pipelinesthat can be used across various different types of data sources● Monitor performance of the architecture and conduct optimization● Produce clean, efficient code based on specifications● Verify and deploy programs and systems● Troubleshoot, debug and upgrade existing applications● Guide junior engineers for productive contribution to the developmentThe ideal candidate must -ML and NLP Engineer● 4 or more years of experience in ML Engineering● Proven experience in NLP● Familiarity with language generative model - GPT3● Ability to write robust code in Python● Familiarity with ML frameworks and libraries● Hands on experience with AWS services like Sagemaker and Personalize● Exposure to state of the art techniques in ML and NLP● Understanding of data structures, data modeling, and software architecture● Outstanding analytical and problem-solving skills● Team player, an ability to work cooperatively with the other engineers.● Ability to make quick decisions in high-pressure environments with limited information.
Experience : 1-2 yearsLocation : Andheri EastNotice Period: Immediate-15 daysResponsibilities:1. Study and transform data science prototypes.2. Design NLP applications.3. Select appropriate annotated datasets for Supervised Learning methods.4. Find and implement the right algorithms and tools for NLP tasks.5. Develop NLP systems according to requirements.6. Train the developed model and run evaluation experiments.7. Perform statistical analysis of results and refine models.8. Extend ML libraries and frameworks to apply in NLP tasks.9. Use effective text representations to transform natural language into useful features.10. Develop APIs to deliver deciphered results, optimized for time and memory.Requirements:1. Proven experience as an NLP Engineer of at least one year.2. Understanding of NLP techniques for text representation, semantic extraction techniques, datastructures and modeling.3. Ability to effectively design software architecture.4. Deep understanding of text representation techniques (such as n-grams, bag of words, sentimentanalysis etc), statistics and classification algorithms.5. Hands on Experience of Knowledge of Python of more than a year.6. Ability to write robust and testable code.7. Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)8. Strong communication skills.9. An analytical mind with problem-solving abilities.10. Bachelor Degree in Computer Science, Mathematics, Computational Linguistics.
Company Profile and Job Description About us: AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries. For more details visit: www.athenasowl.tv Role: Senior Machine Learning Engineer Experience Level: 4 -6 Years of experience Work location: Mumbai (Malad W) Responsibilities: Develop cutting edge machine learning solutions at scale to solve computer vision problems in the domain of media, entertainment and sports Collaborate with media houses and broadcasters across the globe to solve niche problems in the field of post-production, archiving and viewership Manage a team of highly motivated engineers to deliver high-impact solutions quickly and at scale The ideal candidate should have: Strong programming skills in any one or more programming languages like Python and C/C++ Sound fundamentals of data structures, algorithms and object-oriented programming Hands-on experience with any one popular deep learning framework like TensorFlow, PyTorch, etc. Experience in implementing Deep Learning Solutions (Computer Vision, NLP etc.) Ability to quickly learn and communicate the latest findings in AI research Creative thinking for leveraging machine learning to build end-to-end intelligent software systems A pleasantly forceful personality and charismatic communication style Someone who will raise the average effectiveness of the team and has demonstrated exceptional abilities in some area of their life. In short, we are looking for a “Difference Maker”
1. The candidate should be passionate about machine learning and deep learning.2. Should understand the importance and know-how of taking the machine-learning-based solution to the consumer.3. Hands-on experience with statistical, machine-learning tools and techniques4. Good exposure to Deep learning libraries like Tensorflow, PyTorch.5. Experience in implementing Deep Learning techniques, Computer Vision and NLP. The candidate should be able to develop the solution from scratch with Github codes exposed.6. Should be able to read research papers and pick ideas to quickly reproduce research in the most comfortable Deep Learning library.7. Should be strong in data structures and algorithms. Should be able to do code complexity analysis/optimization for smooth delivery to production.8. Expert level coding experience in Python.9. Technologies: Backend - Python (Programming Language)10. Should have the ability to think long term solutions, modularity, and reusability of the components.11. Should be able to work in a collaborative way. Should be open to learning from peers as well as constantly bring new ideas to the table.12. Self-driven missile. Open to peer criticism, feedback and should be able to take it positively. Ready to be held accountable for the responsibilities undertaken.
We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes. This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals. You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company. What you will achieve: Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space Partner with the executive team and other business leaders to deliver cross-functional research work and models Required Skills: Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience Knowledge of deep learning & NLP Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets. Experience with GPU computing is a plus. Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company. Expert-level experience with a wide range of quantitative methods that can be applied to business problems. Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization. Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders. Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling Qualifications Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization Expert-level experience with machine learning that can be applied to business problems Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application) 5+ years of industry experience in data science and machine learning, preferably at a software product company 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you 3+ years of experience partnering with executive staff on data topics
To know about us : http://www.media.net/en/aboutus
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.
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.