Lead Data Scientist Who we are? Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realize the “Next” in the “Now” for our Clients. We specialize in Cloud Data Engineering, AI/Machine Learning, and Advanced Cloud infra techs such as Anthos and Kubernetes. We are one of the top & fastest-growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to the cloud. How we work? It’s all about being Happier first. And the rest follows. Searce work culture is defined by HAPPIER. Humble: Happy people don’t carry ego around. We listen to understand; not to respond. Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about. Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it. Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver. Innovative: Innovate or Die. We love to challenge the status quo. Experimental: We encourage curiosity & making mistakes. Responsible: Driven. Self-motivated. Self-governing teams. We own it. We welcome *really unconventional* creative thinkers who can work in an agile, flexible environment. We are a flat organization with unlimited growth opportunities, and small team sizes – wherein flexibility is a must, mistakes are encouraged, creativity is rewarded, and excitement is required. Introduction : As a Lead Data Scientist, the candidate will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges, from developing new models using pre-existing components to enable current systems to be more intelligent. You should be able to train models using existing data and use them in the most creative manner to deliver the smartest experience to customers. You will have to develop sophisticated enterprise/cloud technology applications that push the threshold of intelligence in machines. Working on multiple projects at a time, you maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You thrive in a fast, high-energy environment and are able to balance multiple projects in real-time. The thrill of the next big challenge drives you, and when faced with an obstacle, you find clever solutions. You must have the ability and interest to work on a range of different types of projects and business processes and must have a background that demonstrates this Ability. Your bucket of undertaking : Collaborate with team members to develop new models to be used for classification problems Responsible for software profiling, performance tuning and analysis, and other general software engineering tasks Use independent judgment to take existing data and build new models from it Collaborate and provide technical guidance Coming up with new ideas, rapid prototyping, and converting prototypes into scalable products Conducting experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences Improving existing models and creating self-learning systems. Stakeholder management and leadership Decision making and problem-solving Accomplishment Set : Extensive experience with Hadoop and Machine learning algorithms Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence) Passion for solving NLP problems Experience with specialized tools and project for working with natural language processing Programming experience in Python Knowledge of machine learning frameworks like Tensorflow, Pytorch Experience with software version control systems like Github Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills Education and Experience : B. E. / B. Tech / Masters in Computer Science Strong in academics and good aptitude Excellent communication skills with a flair to learn quickly 4-8 years of relevant experience Research and implement novel machine learning and statistical approaches Prior exposure to product development would be an added advantage
Take end-to-end ownership of a high impact data science project from formulation, planning, architecting different solution approaches, implementation at scale, measure and deliver. Partner with different stakeholders across Product, Analytics and Engineering teams to deliver world class data science products. Demonstrate and drive deep technical expertise in solving real world retail business problems through the application of machine learning. Act as an SME on the floor and help build data science capabilities Requirement: Proven track record of successful data science deliverables preferably in Automotive/ logistics/e-commerce or other domains Very strong background and theoretical foundation in machine learning & advanced statistical modeling concepts Proficiency in Python, R, Hive, Spark or related tools for model building Excellent problem solving & CS fundamental skills (theory, algorithms, data structures) Experience handling a wide variety of data of large volumes Experience collaborating with a team of data scientists in developing and delivering scalable enterprise level machine learning products/solutions Ability to collaborate in a global environment Essential for candidate: 3-4 years of experience in Data Science BE / B Tech / M E / M Tech in Computer Science/ Engineering, Mathematics, Statistics, or another quantitative field. Experience querying databases and using statistical computer languages (R, Python. etc) to manipulate data and draw insights from large data sets. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, etc. Knowledge of advanced Excel and SQL for data analysis. Experience with any data visualization tool : ggplot2/ matplotlib / seaborn / D3.js / Tableau Exposure to Deep Learning techniques like LSTM / GRU / RNN / CNN and NLP techniques is a plus Excellent written and verbal communication skills for coordinating across teams.
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
Nactus is at forefront of education reinvention, helping educators and learner’s community at large through innovative solutions in digital era. We are looking for an experienced AI specialist to join our revolution using the deep learning, artificial intelligence. This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference. Role and Responsibilities Manage and direct research and development (R&D) and processes to meet the needs of our AI strategy. Understand company and client challenges and how integrating AI capabilities can help create educational solutions. Analyse and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards. Skills Required Knowledge of algorithms, object-oriented and functional design principles Demonstrated artificial intelligence, machine learning, mathematical and statistical modelling knowledge and skills. Well-developed programming skills – specifically in SAS or SQL and other packages with statistical and machine learning application, e.g. R, Python Experience with machine learning fundamentals, parallel computing and distributed systems fundamentals, or data structure fundamentals Experience with C, C++, or Python programming Experience with debugging and building AI applications. Robustness and productivity analyse conclusions. Develop a human-machine speech interface. Verify, evaluate, and demonstrate implemented work. Proven experience with ML, deep learning, Tensorflow, Python
About the role In this role you will: Be working on all aspects of a production machine learning system. You will be acquiring data, training and building models, deploying models, building API services for exposing these models, maintaining them in production, and more. Work on performance tuning of models From time to time work on support and debugging of these production systems Work on researching the latest technology in the areas of our interest and applying it to build newer products and enhancement of the existing platform. Building workflows for training and production systems Contribute to documentation About you You are a mid-career machine learning engineer (or data scientist). Our ideal candidate is someone with 4-6 years of experience in data science. Must Haves You should be experienced in framing and solving problems with the application of machine learning or deep learning models. Knowledge of and experience in computer vision. A large part of our work revolves around computer vision, and you should have worked on this in a production environment. You have experienced that and understand that modelling is only a small part of building and delivering AI solutions and know what it takes to keep a high-performance system up and running. Our usage of libraries and tooling is oriented around Python, Tensorflow and Pytorch, so we would want you to have a good understanding of and experience in applying these. We build our own services, hence we would expect you to have knowledge of writing APIs. Enthusiasm and drive to learn and assimilate the state of the art research. A lot of what we are building will require innovative approaches using newly researched models and applications. Good to Have Our stack also includes languages like Ruby, Go and Elixir. We would love it if you know any of these or take interest in functional programming. Knowledge of and experience in ML Ops and tooling would be a welcome addition. We use Docker and Kubernetes for deploying our services. Experience in using any other platform, frameworks, tools. About IDfy IDfy is ranked amongst the World's Top 100 Regulatory Technology companies for the last two years. IDfy's AI-powered technology solutions help identify people accurately, authenticate their credentials, and make sure that no fraud or impersonator enters the system. We create the confidence required for people and businesses to engage with each other in the digital world. If you have used any major payment wallets, or have used a self-drive car, or have played a real-money online game, or hosted people through AirBnB, it's quite likely that your identity has been verified by IDfy at some point. About the team The machine learning team is a self-contained team responsible for building models and services that support key workflows for IDfy. Our models are gating criteria for these workflows and as such are expected to perform accurately and quickly. We use a mix of conventional and hand-crafted deep learning models. The team comes from diverse backgrounds and experience. We have IIT-ians, ex-bankers and startup founders. We work directly with business and product teams to craft solutions for our customers. We know that we are, and function as a platform and not a services company.
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.
Job brief :- We are looking for a Tech Lead to provide sound technical leadership in all aspects of our business. You will communicate with employees, stakeholders and customers to ensure our company's technologies are used appropriately.- Strategic thinking and strong business acumen are essential in this role. We expect you to be well-versed in current technological trends and familiar with a variety of business concepts. Strong In-depth and hands-on development experience is a must.Responsibilities :- Develop technical aspects of the company's strategy to ensure alignment with its business goals- Discover and implement new technologies that yield competitive advantage- Help departments use technology profitably- Supervise system infrastructure to ensure functionality and efficiency- Build quality assurance and data protection processes- Monitor KPIs and IT budgets to assess technological performance- Use stakeholders- feedback to inform necessary improvements and adjustments to technology- Communicate technology strategy to partners and investorsRequirements :- Proven experience as a Tech Lead or similar leadership role- Knowledge of technological trends to build a strategy- Understanding of budgets and business-planning- Ability to conduct technological analyses and research- Excellent communication skills- Leadership and organizational abilities- Strategic thinking- Problem-solving aptitudeSkills - Python, Android, IOS, MERN Stack, AWS, MLNote - Working Days- Mon-Fri, Sat - Half day & should be comfortable for work from office only.
Our current operations research product is deployed at some of the largest organizations in the world. This role will be responsible for re-architecting the existing solution and adding components of machine learning and intelligence to its logic. We are looking for a passionate individual who loves technology and is willing to design and create a flexible long-lasting product architecture.
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
About us: 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 transformative 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. 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. Please Find Attached fact sheet for your reference. For more details visit: www.quantiphi.com ; www.athenasowl.tv Job Description: -Developing high-level solution architecture related to different use-cases in the media industry -Leveraging both structured and unstructured data from external sources and our proprietary AI/ML models to build solutions and workflows that can be used to give data driven insights. -Develop sophisticated yet easy to digest interpretations and communicate insights to clients that lead to quantifiable business impact. -Building deep relationship with clients by understanding their stated but more importantly, latent needs. -Working closely with the client-side delivery managers to ensure a seamless communication and delivery cadence. Essential Skills and Qualifications: -Hands-on experience with statistical tools and techniques in Python -Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis. -Advanced knowledge of supervised and unsupervised machine learning algorithms like Random Forest, Boosting, SVM, Neural Networks, Collaborative filtering etc. -Ability to think creatively and work well both as part of a team and as an individual contributor -Critical eye for the quality of data and strong desire to get it right -Strong communication skills. -Should be able to read a paper and quickly implement ideas from scratch. -A pleasantly forceful personality and charismatic communication style.
FreightCrate Technologies: FreightCrate Technologies is a Logistics Technology company that- aims to transform international shipping through innovative and cost-effective tech solutions that can mutually benefit exporters, importers and logistics service providers.Our web-platform, FreightCrate offers online tech-enabled quote and shipment management solutions for export and import businesses to and from more than 50,000 global locations.We have had more than 50 media coverages including Entrepreneur, LoadStar UK, Maritime Gateway, Cargotalk, BW Disrupt, INC42, Silicon India, Tech Observer and several other newspapers and online magazines. Our vision is to utilize cutting edge technology, engineering, deep learning and artificial intelligence to create an intelligent freight management system that can automate and optimize international trade operations for global businesses. FOUNDERS:Samir Lambay is the Co-Founder and CEO with an MSc in Shipping, Trade and Finance from Cass Business School, London, UK with Distinction.Samir has worked in the shipping and logistics industry across both family businesses and multinational companies. His most recent job was at- DB Schenker Logistics- (Part of Deutsche Bahn Group - Fortune 200) where he was the youngest Vertical Manager globally and won two awards including Vertical Manager of the year and a Global Award.Ruchi Dogra is a Co-Founder & Director and is in charge of sales and marketing. She has worked for over 15 years across the top 3 logistics/supply chain companies globally. She set-up the hotel, wines and beverages vertical at- Kuehne & Nagel- and- DB Schenker. Her latest assignment was at- DHL Global Forwarding- where she worked as a Vertical Manager for Engineering and Manufacturing; handling top Indian and multinational accounts including several Fortune 100 companies. She brings with her an extensive knowledge in strategy, sales, operations and customer service.Title:CTO DescriptionThe CTO role is to ensure the successful execution of the company’s business services via the web application. This requires envisioning the company’s service offerings as a web-based business, leading implementation of web applications, and planning for risk and growth.. Compensation:As this is a new business the compensation is negotiable and we will make an offer depending on the experience of the candidate which will include a salary and ESOP package.Responsibilities:In partnership with the company’s founders, identify opportunities and risks for delivering the company’s services as a web-based business, including identification of competitive services, opportunities for innovation, and assessment of marketplace obstacles and technical hurdles to the business success. As our Product is already developed we expect the CTO to work with product development to implement new product features, apply new technologies and set up the engineering and development team to maintain, update and improve the web-application. Some specific responsibilities are listed below:Strategy, planning, and design:• Take end-to-end ownership of the product, identify technology requirements, define the future product vision, create preliminary design concepts for add-on modules and shape overall technology and product roadmap by collaborating with the founders, business development, and marketing team.• Ensure user oriented design is the primary approach to product development across multiple screens, based on user behaviour data and direct customer feedback.Implementation and deployment:• Manage Product Release, QA cycles, feature implementation and on time delivery through in-house team and vendors.• Collaborate with team and customers to define use cases.• Creation of wireframes/prototypes, site maps and user-flows for web and mobile platforms. Operational management :• Support marketing by implementing technical requirements for SEO/product analytics.• Establish and supervise a quality assurance process, including integration & system testing.• Rigorously monitor key performance metrics and coordinate with various teams to take corrective actions if needed.• Establish and forecast ROI of features and succinctly articulate competitive advantage.• Set-up data collection and analysis system in collaboration with CEO to track key performance.metrics.Skill Sets:• PHP/Python• AWS & Cloud-computing• Mysql/MongoDB/CouchDB• Memcache/Redis• Frontend technologies HTML, CSS, JS, Angular, ReactJS• Frameworks like CodeIgnitor/CakePHP/Symphony, Flask/Django• DevOps• ELK• Tools like Datadog, NewRelic, etc• Shell-scripting• Setting & managing dev/beta/prod environments• tools like Jenkins, Chef, Puppet, Ansible, etc.• Experience with MEAN stack will be an advantage• Knowledge of Solr/Elastic search will be an advantageStrong fundamentals in computer science/engineering and algorithm design. Practical knowledge of computer software algorithms in machine/deep learning, NLP, Computer Vision etc.Personal Requirements:• Min of 7+ years of Hands on experience in Web app development, payment gateways implementation, architecture design, product management, databases and UI/UX in consumer facing applications. • Experience on projects involving engineering and algorithmic functions, machine learning, deep learning and artificial intelligence is very advantageous.• Creative self-starter who is comfortable with both taking initiative and working in teams.• Previous experience working on logistics technology products is advantageous but not mandatory.• Strong communication skills.• Willingness to learn and utilize emerging technologies.• Sincere passion to use disruptive technologies that can be globally significant.