Qualification & Qualities we are looking at: • Highest Degree qualification must be M.E/ M.Tech/ Ph.D (Computer Science with thesis or project in Artificial Intelligence/ Machine Learning) • Experience into Natural Language Processing will be a big plus • Outstanding B.Tech with a successful project in Machine Learning will also be considered. • Exceptionally Strong knowledge and experience in Data structures and Algortithms, Machine Learning and Artificial intelligence. • Kaggle , StackOverflow, Github participation will be a plus. • We are open to accept experience with any standard platform and programming language Responsibilities and Core Work: • Extensive research in core NLP • Expertise in core research and coming up with implementable solutions. • You will be developing the next generation AI solutions within the core R&D team. • Huge space for ideas, innovation and development towards next breakthrough in AI
SmartNomad is a revolutionary product that connects the world of travel using best-in-class data science. SmartNomad understands the traveler and using advanced analytical methods, creates one-click bookable intelligent itineraries with flight, hotels and activities tailored specifically to traveller's preference. Using cutting edge machine learning, SmartNomad serves as traveler's go-to virtual assistant during the trip. A truly superior customer experience lies at the heart of SmartNomad, it does all the heavy lifting so that nomads can explore the world carefree. We are looking for smart folks who can work with us in solving end to end data science problem.The work involves a lot of research , tapping into cutting edge research and solving problems like extracting insights from Text , building recommendations based on user preferences and their historical behaviour.
We are a startup revolutionising the way travel itinerary are created. We are building a consumer facing product using the latest state of art algorithms in Machine Learning , Deep learning , NLP and Recommendation systems.
Responsibilities Exp 3~5 years Build up a strong and scalable crawler system for leveraging external user & content data source from Facebook, Youtube and others internet products or service. Getting top trending keywords & topic from social media. Design and build initial version of the real-time analytics product from Machine Learning Models to recommend video contents in real time to 10M+ User Profiles independently. Architect and build Big Data infrastructures using Java, Kafka, Storm, Hadoop, Spark and other related frameworks, experience with Elastic search is a plus Excellent Analytical, Research and Problem Solving skills, in-depth knowledge of Data Structure Desired Skills and Experience B.S./M.S. degree in computer science, mathematics, statistics or a similar quantitative field with good college background 3+ years of work experience in relevant field (Data Engineer, R&D engineer, etc) Experience in Machine Learning and Prediction & Recommendation techniques Experience with Hadoop/MapReduce/Elastic-Stack/ELK and Big Data querying tools, such as Pig, Hive, and Impala Proficiency in a major programming language (e.g. Java/C/Scala) and/or a scripting language (Python) Experience with one or more NoSQL databases, such as MongoDB, Cassandra, HBase, Hive, Vertica, Elastic Search Experience with cloud solutions/AWS, strong knowledge in Linux and Apache Experience with any map-reduce SPARK/EMR Experience in building reports and/or data visualization Strong communication skills and ability to discuss the product with PMs and business owners
Key Skills: · Ability to balance the demands of multiple clients concurrently. · Ability to convey complex data science concepts to a non-technical audience. · Proficiency in MySQL or similar relational database software. · Extensive Microsoft Excel and Access knowledge and skills. · STATA or R and Python proficient. · Familiarity with R or Pandas for data analysis · Able to craft complex visualizations of data and system architecture; familiar with the creation of operational data models (program data ecosystem mapping and interpretation). Experience: · 3-7 years’ experience in an analytics-intensive position - data scientist, statistician, economist, or comparable. · 3-7 years’ experience with data and/or enterprise software implementation in the field: benchmarking of technology and systems, data management and architecture, program implementation and cycle analysis. · Experience performing data management exercises inside of large organizations (bonus points forinternational public sector entities). · Prior experience with complex data set merging, cleaning, and aggregation
Do apply if any of this sounds familiar! o You have expertise in NLP, Machine Learning, Information Retrieval and Data Mining. o Experience building systems based on machine learning and/or deep learning methods. o You have expertise in Graphical Models like HMM, CRF etc. o Familiar with learning to rank, matrix factorization, recommendation system. o You are familiar with the latest data science trends, tools and packages. o You have strong technical and programming skills. You are familiar with relevant technologies and languages (e.g. Python, Java, Scala etc.) o You have knowledge of Lucene based search-engines like ElasticSearch, Solr, etc and NoSQL DBs like Neo4j and MongoDB. o You are really smart and you have some way of proving it (e.g. you hold a MS/M.Tech or PhD in Computer Science, Machine Learning, Mathematics, Statistics or related field). o There is at least one project on your resume that you are extremely proud to present. o You have at least 4 years’ experience driving projects, tackling roadblocks and navigating solutions/projects through to completion o Execution - ability to manage own time and work effectively with others on projects o Communication - excellent verbal and written communication skills, ability to communicate technical topics to non-technical individuals Good to have: o Experience in a data-driven environment: Leveraging analytics and large amounts of (streaming) data to drive significant business impact. o Knowledge of MapReduce, Hadoop, Spark, etc. o Experience in creating compelling data visualizations
To introduce myself I head Global Faculty Acquisition for Simplilearn. About My Company: SIMPLILEARN is a company which has transformed 500,000+ carriers across 150+ countries with 400+ courses and yes we are a Registered Professional Education Provider providing PMI-PMP, PRINCE2, ITIL (Foundation, Intermediate & Expert), MSP, COBIT, Six Sigma (GB, BB & Lean Management), Financial Modeling with MS Excel, CSM, PMI - ACP, RMP, CISSP, CTFL, CISA, CFA Level 1, CCNA, CCNP, Big Data Hadoop, CBAP, iOS, TOGAF, Tableau, Digital Marketing, Data scientist with Python, Data Science with SAS & Excel, Big Data Hadoop Developer & Administrator, Apache Spark and Scala, Tableau Desktop 9, Agile Scrum Master, Salesforce Platform Developer, Azure & Google Cloud. : Our Official website : www.simplilearn.com If you're interested in teaching, interacting, sharing real life experiences and passion to transform Careers, please join hands with us. Onboarding Process • Updated CV needs to be sent to my email id , with relevant certificate copy. • Sample ELearning access will be shared with 15days trail post your registration in our website. • My Subject Matter Expert will evaluate you on your areas of expertise over a telephonic conversation - Duration 15 to 20 minutes • Commercial Discussion. • We will register you to our on-going online session to introduce you to our course content and the Simplilearn style of teaching. • A Demo will be conducted to check your training style, Internet connectivity. • Freelancer Master Service Agreement Payment Process : • Once a workshop/ Last day of the training for the batch is completed you have to share your invoice. • An automated Tracking Id will be shared from our automated ticketing system. • Our Faculty group will verify the details provided and share the invoice to our internal finance team to process your payment, if there are any additional information required we will co-ordinate with you. • Payment will be processed in 15 working days as per the policy this 15 days is from the date of invoice received. Please share your updated CV to get this for next step of on-boarding process.
We are looking for people with experience in Machine Learning. We work on DNNs and if you are deeply interested, can spend time in training as well (given you are very well versed on other ML concepts). Work is exciting and we have an awesome team on board already!
Fly NavaTechnologies is a start-up organization whose vision is to create the finest airline software for distinct competitive advantages in revenue generation and cost management. The software products have been designed and created by veterans of the airline and airline IT industry, to meet the needs of this special customer segment. The software will be constructive by innovative approach to age old practices of pricing, hedging, aircraft induction and will be path breaking to use, encouraging the users to rely and depend on its capabilities. Wewill leverage our competitive edge by incorporating new technology, big data models, operations research and predictive analytics into software products, a means of creating interest and creativity while using the software. This interest and creativity will increase potential revenues or reduce costs considerably, thereby creating a distinct competitive differentiation. FlyNava is convinced that when airline users create that differentiation easily, their alignment to the products will be self-motivated rather than mandated. High level of competitive advantage will also flow with the following All the products, solutions and services will be Copyright. FlyNava will benefit with high IPR value including its base thesis/research as the sole owners. Existing product companies are investing in other core areas which our business areas are predominantly manual process Solutions are based on master thesis which need 2-3 years to complete and more time to make them relevant for software development. Expertise in these areas are far and few. Responsible for Collecting, Cataloguing, Filtering of data and Benchmarking solutions - Contribute to model related Data Analytics and Reporting. - Contribute to Secured Software Release activities. Education & Experience : - B.E/B.Tech or M.Tech/MCA in Computer Science/ Information Science / Electronics & Communication - 3 - 6 Years of experience Must Have : - Strong in Data Analytics via Pyomo (for optimization) Scikit-learn (for small data ML algorithms) MLlib (Apache Spark big-data ML algorithms) - Strong in representing metrics and reports via json - Strong in scripting with Python - Familiar with Machine learning, pattern recognition Algorithms - Familiar with Software Development Life Cycle - Effective interpersonal skills Good to have : Social analytics Big data