We develop and publish mobile games that millions love. With global hits and 450 million+ downloads, we're the UK's biggest hypercasual games company!
Are you a high-performing, collaborative, results oriented and technologically savvy person who is keen on sales in the digital industry? Then this highly visible role is for you!Our client is the Health-tech initiative of India's largest business house. Started in 2015, it empowers healthcare providers and consumers in India. All healthcare monitoring services are made available through an app that will help connect doctors, hospitals, pharmacies, laboratories and consumers, enabling preventive and predictive healthcare. It helps the care-givers to track the entire patient journey from the initial appointment to maintaining their records, generating lab test reports to providing virtual consultation and home-care solutions. It is expected that this futuristic guide will strengthen doctor-patient relationship and enhance the in-clinic experience. As a Data Scientist, you will build innovative analytics solutions and partner with product and business teams to improve existing solutions, and identify new opportunities to build data science solutions. What you will do: Leading and counselling the data science team in choosing the right approach for problem-solving. Collaborating with Data Scientists and Data engineers to enable deployment of solutions. Building POC's, IP’s and patents to create product differentiation using analytics and data science techniques. Transforming POC's into new product offerings Architecting DS/ AI/ ML solutions for easy integration with product. Ensuring smooth operations of existing products. Helping business and product team with an understanding of consumer behaviour using internal data sets. Measuring and articulating how data science initiatives improve business outcomes. Translating business problems into analytics problems and further into defined tasks for the team to execute. What you need to have: B.E./ B.Tech - Min 65% or M.Tech Experience deploying DS/ ML/ AI solutions Ability to discover patterns in data and deliver impactful insights. Ability to convert high level business problems into analytics problems. Experience Managing data science teams. Experience working with business users / clients. He/ She should have 5-8 years of experience in the Machine Learning space with background in healthcare (preferred but not essential). Desired Attributes Should have experience in Algorithms, NLP, Chatbots, Product Strategy, Advanced Analytics etc. Should have working exposure to Python, R, SAS, etc
Dear Candidate, Greetings from SpringML! Company: SpringML India Pvt Ltd. Role: senior data engineer Location: Hyderabad Website: https://springml.com/ What's the opportunity? SpringML is looking for a Top-notch Google Cloud Platform Senior Data Engineer. As a senior Data Engineer, you will be responsible for the design and development of next-generation hybrid cloud platform solutions and supervise their implementation across different clients and engineering teams, ensuring that industry best practices are incorporated. Required Skills:(Strong programming exp in either Java/Python and any of the cloud exp is preferred) Total of 4+ years of experience in development, architecting/designing and implementing Software solutions for enterprises. Must have strong programming experience in either Python or Java/J2EE. Minimum of 4+ years’ experience working with various Cloud platforms preferably Google Cloud Platform. Experience in Architecting and Designing solutions leveraging Google Cloud products such as Cloud Big Query, Cloud Dataflow, Cloud Pub/Sub, Cloud Bigtable and TensorFlow will be highly preferred. Presentation skills with a high degree of comfort speaking with management and developers. The ability to work in a fast-paced, work environment Responsibilities: Lead teams to implement and deliver software solutions for Enterprises by understanding their requirements. Communicate efficiently and document the Architectural/Design decisions to customer stakeholders/subject matter experts. Opportunity to learn new products quickly and rapidly comprehend new technical areas - technical/functional and apply detailed and critical thinking to customer solutions. Implementing and optimizing cloud solutions for customers. Migration of Workloads from on-prem/other public clouds to Google Cloud Platform. Provide solutions to team members for complex scenarios. Promote good design and programming practices with various teams and subject matter experts Ability to work on any product on the Google cloud platform. Must be hands-on and be able to write code as required Ability to lead junior engineers and conduct code reviews Qualification Required: Minimum B. Tech/B. E Engineering graduate/MCA Regards Usha
We are looking for an engineer with ML/DL background. Ideal candidate should have the following skillset1) Python2) Tensorflow3) Experience building and deploying systems4) Experience with Theano/Torch/Caffe/Keras all useful5) Experience Data warehousing/storage/management would be a plus6) Experience writing production software would be a plus7) Ideal candidate should have developed their own DL architechtures apart from using open source architechtures.8) Ideal candidate would have extensive experience with computer vision applications Candidates would be responsible for building Deep Learning models to solve specific problems. Workflow would look as follows:1) Define Problem Statement (input -> output)2) Preprocess Data3) Build DL model4) Test on different datasets using Transfer Learning5) Parameter Tuning6) Deployment to production Candidate should have experience working on Deep Learning with an engineering degree from a top tier institute (preferably IIT/BITS or equivalent)
We’re looking for an experienced Solution Architect to lead our data analytics and visualization team in Gurugram to help generate valuable insights for our customers as well as the product team. This role will be a very hands-on role and you will be responsible for all aspects of the architecture, security and scalability of the analytics and visualization application. Key Responsibilities: Responsible for the application architecture, performance, security, scalability and availability. Write/Review Code every day in addition to pairing with team members on functional and nonfunctional requirements and spread design philosophy, goals and improvements to code quality across the team Translate objectives into iterative MVPs, evaluate and then refactor into highly scalable, highly available, reliable, secure and fault-tolerant systems. Building and managing automated build/test/deployment environments Identify and confirm technical design risks, and develop mitigating approaches, judge the tradeoffs with technology and feasibility and makes choices that fit the constraints of the project. Demonstrates comprehensive decision-making authority over technical issues, project policies, standards, and strategies Deep dive into the data to help our customers understand how their users are using the app and how they can improve the adoption. Understanding how users engage with the product, by analyzing users' digital footprints step-by-step to see what leads them to engage, return, or churn. The role would enable product owners, designers, and developers to use the right data to guide their decisions. Provide data driven insights and deliver recommendations that address opportunities for product improvements Help improve accuracy and efficiency of data capture strategy A/B Test: Analyze, consolidate, and present test results. Uncover friction points to continuously iterate and improve products or features Desired Skills and Experience: 7+ years overall experience, with minimum 2+ years in data analysis/ visualization, with hands-on participation. Experience in at least two of NodeJS/ Python/ Java and a willingness to learn others. Data modelling experience in both Relational and NoSQL databases. Experience working with SQL and No-SQL databases, data visualization technologies and cloud infrastructure platforms Shown experience with large-scale data analysis, data-mining, business intelligence systems, and other advanced business reporting tools, including SQL or similar tools. Knowledge of data conversion strategy, capturing data, creating source to target definitions for ETL/ data flow process, data quality, and database management Develop and implement databases, data collection systems, data analytics and other strategies Identify, analyze, and interpret trends or patterns in complex data sets. Work with large scale data sets: extract data from sources across multiple platforms and synthesize into dashboards or insightful information Proven deep technical expertise and hands-on involvement in designing, architecting and executing large scale cloud solutions for data analytics and other complementary services like compute, workflow and serverless. Strong experience in Agile methodology and ability to deliver in a global team environment with members working remotely in various time zones Communication Skills must be excellent across roles @Simpplr.
JD : ML/NLP Tech Lead- We are looking to hire an ML/NLP Tech lead who can own products for a technology perspective and manage a team of up to 10 members. You will play a pivotal role in re-engineering our products, transformation, and scaling of AssessEdWHAT ARE WE BUILDING :- A revolutionary way of providing continuous assessments of a child's skill and learning, pointing the way to the child's potential in the future. This as opposed to the traditional one-time, dipstick methodology of a test that hurriedly bundles the child into a slot, that in-turn - declares- the child to be fit for a career in a specific area or a particular set of courses that would perhaps get him somewhere. At the core of our system is a lot of data - both structured and unstructured. - We have books and questions and web resources and student reports that drive all our machine learning algorithms. Our goal is to not only figure out how a child is coping but to also figure out how to help him by presenting relevant information and questions to him in topics that he is struggling to learn.Required Skill sets :- Wisdom to know when to hustle and when to be calm and dig deep. Strong can do mentality, who is joining us to build on a vision, not to do a job.- A deep hunger to learn, understand, and apply your knowledge to create technology.- Ability and Experience tackling hard Natural Language Processing problems, to separate wheat from the chaff, knowledge of mathematical tools to succinctly describe the ideas to implement them in code.- Very Good understanding of Natural Language Processing and Machine Learning with projects to back the same.- Strong fundamentals in Linear Algebra, Probability and Random Variables, and Algorithms.- Strong Systems experience in Distributed Systems Pipeline: Hadoop, Spark, etc.- Good knowledge of at least one prototyping/scripting language: Python, MATLAB/Octave or R.- Good understanding of Algorithms and Data Structures.- Strong programming experience in C++/Java/Lisp/Haskell.- Good written and verbal communication.Desired Skill sets :- Passion for well-engineered product and you are - ticked off- when something engineered is off and you want to get your hands dirty and fix it.- 3+ yrs of research experience in Machine Learning, Deep Learning and NLP- Top tier peer-reviewed research publication in areas like Algorithms, Computer Vision/Image Processing, Machine Learning or Optimization (CVPR, ICCV, ICML, NIPS, EMNLP, ACL, SODA, FOCS etc)- Open Source Contribution (include the link to your projects, GitHub etc.)- Knowledge of functional programming.- International level participation in ACM ICPC, IOI, TopCoder, etc - International level participation in Physics or Math Olympiad- Intellectual curiosity about advanced math topics like Theoretical Computer Science, Abstract Algebra, Topology, Differential Geometry, Category Theory, etc.What can you expect :- Opportunity to work on the interesting and hard research problem, to see the real application of state-of-the-art research into practice.- Opportunity to work on important problems with big social impact: Massive, and direct impact of the work you do on the lives of students.- An intellectually invigorating, phenomenal work environment, with massive ownership and growth opportunities.- Learn effective engineering habits required to build/deploy large production-ready ML applications.- Ability to do quick iterations and deployments.- We would be excited to see you publish papers (though certain restrictions do apply).Website : http://Digitalaristotle.aiWork Location: - Bangalore
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
Consultants will have the opportunity to : - Build a team with skills in ETL, reporting, MDM and ad-hoc analytics support- Build technical solutions using latest open source and cloud based technologies- Work closely with offshore senior consultant, onshore team and client's business and IT teams to gather project requirements - Assist overall project execution from India - starting from project planning, team formation system design and development, testing, UAT and deployment - Build demos and POCs in support of business development for new and existing clients - Prepare project documents and PowerPoint presentations for client communication - Conduct training sessions to train associates and help shape their growth
JD: Required Skills: Intermediate to Expert level hands-on programming using one of programming language- Java or Python or Pyspark or Scala. Strong practical knowledge of SQL.Hands on experience on Spark/SparkSQL Data Structure and Algorithms Hands-on experience as an individual contributor in Design, Development, Testing and Deployment of Big Data technologies based applications Experience in Big Data application tools, such as Hadoop, MapReduce, Spark, etc Experience on NoSQL Databases like HBase, etc Experience with Linux OS environment (Shell script, AWK, SED) Intermediate RDBMS skill, able to write SQL query with complex relation on top of big RDMS (100+ table)
About Vedantu --------------------------- If you have ever dreamed about being in the driver’s seat of a revolution, THIS is the place for you. Vedantu is an Ed-Tech startup which is into Live Online Tutoring. Recently raised Series B funding of $11M Job Description We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product, sales and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data analysis methods, building and implementing models and using/creating appropriate algorithms. Desired Skills 1. Experience using statistical computer languages (R, Python,etc.) to manipulate data and draw insights from large data sets. 2. Process, cleanse, and verify the integrity of data used for analysis. 3. Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying, heterogeneous sources 4. Experience with messy real-world data -- handling missing/incomplete/inaccurate data 5. Understanding of a broad set of Algorithms and Applied Math. 6. Good at problem solving, probability and statistics and knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage) and experience with applications. 7. Knowledge of data scraping is preferable 8. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks) and their real-world advantages/drawbacks. 9. Experience with big data tools (Hadoop, Hive, MapReduce) a plus.
Telesourcia is a company who want to be a leader in the Big data , all around The Data (machine learning,data Analytics ,Data science etc.. at Madagascar , and we invite you to be part of this adventure