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, 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.TitleSoftware DeveloperDescriptionThe Software Developer’s role is to develop new innovative programs to optimize and automate user experiences by creating high-quality, innovative and fully performing software that complies with coding standards and technical design. Should be familiar with the software development life cycle (SDLC) from preliminary system analysis to tests and deployment. CompensationAs this is a new business the compensation is negotiable and we will make an offer depending on the experience of the candidate. Responsibilities• Design flowcharts, layouts and documentation to identify requirements and solutions• Produce clean, efficient code based on specifications• Execute full software development life cycle (SDLC)• Integrate software components and third-party programs and API’s• Troubleshoot, debug and upgrade existing software• Gather and evaluate user feedback• Recommend and execute improvements• Create technical documentation for reference and reportingSkill Sets:• PHP/Python• AWS & Cloud-computing• Mysql/PostgreSql• Memcache/Redis• Frontend technologies HTML, CSS, JS, ReactJS, Vue.js• Frameworks like Django• DevOps• ELK• Tools like Datadog, NewRelic, etc• Shell-scripting • Setting & managing dev/beta/prod environments• Tools like Jenkins, Chef, Puppet, Ansible, etc.• Knowledge of Solr/Elastic search will be an advantagePersonal Requirements:• Min of 3+ years of Hands on experience in Web development, algorithm design, 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.
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. For more details visit: www.quantiphi.com ; www.athenasowl.tvRole: Python DevelopmentExperience Level: 1 to 3 Years Work location: Mumbai Employment: Full Time Responsibilities: 1. Design distributed applications, architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speed and quality 2. Develop multi-tier scalable, high-volume performing, and reliable user-centric web services based applications that operate 24x7 3. Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration 4. Develop software related to machine learning, artificial intelligence and data analytics. 5. Write and implement software solutions that integrate different systems The ideal candidate should have: 1. Sound knowledge of software designing, development, and algorithm related solutions. 2. Working knowledge on programming language in Python. 3. Strong object-oriented skills and development expertise on web services 4. Knowledge of different frameworks (preferably Django) 5. Knowledge in developing ORM (Object Relational Mapper) libraries- Able to integrate multiple data sources and databases into one system 6. Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. 7. Knowledge with object oriented design, coding, testing patterns, and programming languages (Java, Python. etc). 8. Understanding building web applications and services with IDEs, ANT, JUnit, etc. 9. Knowledge with relational databases (transactional and non-transactional), database architecture, and distributed transaction management
Egnyte store billion of files and petabytes of data and we are looking for help to take the platform used by millions of users to the next level of scale. Autonomy and ownership is integral to our culture and engineers own one or more services end to end. We’re looking for Senior Software Engineers and he should be able to take a complex problem and work with product managers, devops and other team members to execute end to end. Specific Responsibilities will include: Design and develop scalable cloud components that seamlessly integrates with on-premises systems. Challenge and redefine existing architecture or make 10x improvements in performance and scalability. Ability to foresee post-deployment design challenges, performance and scale bottlenecks. Hire and mentor junior engineers Doing code reviews, unit and performance testing of the code. Monitor and manage 3000+ nodes using modern DevOps tools and APM solutions. The successful candidate will need: Demonstrated success designing and developing complex cloud based solutions Solid CS fundamentals with one or more areas of deep knowledge Experience with the following technologies: Java, SQL, Linux, Python, Nginx, Haproxy, BigQuery, HBase, New Relic, memcache, Elasticsearch, docker. Data driven decision process Relies on automation testing instead of manual QA Experience in working with Google cloud, AWS or Azure is preferred
3+years design/programming experience AWS, Azure, or comparable cloud computing experience C++ Relational DB experience Comfort with Agile software development process and a startup environment Exposure to machine learning and familiarity with Python or a JVM language RESTful API Microservices
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