


Role and Responsibilities
- Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
- The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
- Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).
Core Qualifications
Candidates must meet ALL of the following qualifications:
- Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
- Three years of industry work experience, developing data mining models which were deployed and used.
- Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
- Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks
Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:
- Soft Skills
- Sets expectations, develops project plans and meets expectations.
- Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
- Technical skills
- Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
- Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
- Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
- Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
- OpenCV or other image processing tools or libraries
- Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
- Decision trees like XGBoost or Random Forests is helpful.
- Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
- Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
- Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
- Experience with PMML is of interest (see www.DMG.org).
- Vertical experience in Industrial Internet of Things (IoT) applications:
- Energy: Oil and Gas, Wind Turbines
- Manufacturing: Motors, chemical processes, tools, automotive
- Smart Cities: Elevators, cameras on population or cars, power grid
- Transportation: Cars, truck fleets, trains
About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.
Press: https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/
Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/
- 2019 Edge Computing Company of the Year – Compass Intelligence
- 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
- 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
- 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
- 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
- 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
- 2018 The 10 Most Innovative AI Solution Providers – Insights Success
- 2018 The AI 100 – CB Insights
- 2017 Cool Vendor in IoT Edge Computing – Gartner
- 2017 20 Most Promising AI Service Providers – CIO Review
Our Series A round was for $15 million. Our Series B round was for $30 million October 2017. Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.
About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9. We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects. About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.
Our data scientists like our team because:
- We care about “best practices”
- Have a direct impact on the company’s revenue
- Give or receive mentoring as part of the collaborative process
- Questions and challenging the status quo with data is safe
- Intellectual curiosity balanced with humility
- Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning

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Job Description:
Key Responsibility Areas: |
· Design, build and deliver Enterprise software solutions. · Write code with standards and conventions and follow best practices. · Encourage and lead innovation and solid lifecycle processes. · Collaborate with development teams on work definition, estimation and prioritization · Lead and grow as a professional software engineer. · Full ownership of product deliveries and mentoring junior team members. · Preparing curriculum to train junior developers for Java Web Development · Strong client interactions to provide excellent Quality of Service. · Owning the code base and making sure all code is reviewed and is of very high quality. · Write and modify coding conventions and standards documents for all development |
Required Skills: |
Technologies/Frameworks – · Core Java, J2EE, · Spring Core and Spring MVC, Sprint Boot, Spring Security, · JDBC, Hibernate, RESTful APIs, SOAP WebServices · Knowledge of JavaScript, JQuery, AJAX, HTML5, and CSS3, Angular is added advantage · Junit or Mockito frameworks · Maven, Git · Knowledge Data Structures, · SQL, MySQL · Designing relational database schemas · Basics of AWS, Cloud, Microservices
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👋🏼We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
REQUIREMENTS:
- Experience: 5.5-8.5 years
- Must Have: Design patterns (Expert), Game Development - General Experience, HTML5 (Expert), JavaScript (Expert), PixiJS
- Skills: ReactJS + HTML + CSS + ReactMaterialUI - Frontend developer with hands on experience in React JS Or Angular.
- Must has prior experience in developing microservices for customer facing channels. - Implementing pixel perfect design of components.
- Candidate should have good knowledge of working with React JS, NodeJS, advanced JavaScript, HTML5, CSS3,Mongo DB,
- Component-based frontend architecture along with how to design components in a way so that they can handle a big dataset.
- Unit testing, Code review and CI/CD process and flow.
- Knowledge of GitHub - Should have worked with tools like webpack.
- Code review tools like TSlint, Jslint, React-and, Redux-forms, super-agent is added advantage. Expectation: Spends 100% of time in implementing front end for all user stories.
RESPONSIBILITIES:
- Writing and reviewing great quality code
- Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project.
- Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it.
- Determining and implementing design methodologies and tool sets
- Enabling application development by coordinating requirements, schedules, and activities.
- Being able to lead/support UAT and production roll outs.
- Creating, understanding, and validating WBS and estimated effort for given module/task, and being able to justify it.
- Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
- Giving constructive feedback to the team members and setting clear expectations.
- Helping the team in troubleshooting and resolving of complex bugs
- Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
- Role: IoT Application Development (Java) Skill Set:
- Proficiency in Java 11.
- Strong knowledge of Spring Boot framework.
- Experience with Kubernetes.
- Familiarity with Kafka.
- Understanding of Azure Cloud services.
1 Experience: 3 to 5 years Location: Bangalore ; Notice period : Immediate Joiners
- Job Description: We are seeking an experienced IoT Application Developer with expertise in Java to join our team in Bangalore. As a Java Developer, you will be responsible for designing, developing, and deploying IoT applications. You should have a solid understanding of Java 11 and the Spring Boot framework. Experience with Kubernetes and Kafka is also required. Familiarity with Azure Cloud services is essential. Your role will involve collaborating with the development team to build scalable and efficient IoT solutions using Java and related technologies.
- You will be having 3+ years of experience of writing optimized Code in Javascript/Typescript and working with Advanced NodeJs frameworks targeting Latest NodeJs version.
- Design, build, and maintain efficient, reusable, and reliable codes by setting expectations and features priorities throughout the development life cycle.
- Understanding of basic RDBMS using relational databases like PostgresSQL, MySQL, or MSSQL
- API development (Rest/GraphQL)
- You will participate in regular design sessions, code reviews and agile ceremonies.
- You will work closely with the Product Owner and scrum team to help deliver high quality features inside of agreed timescales
- You will Provide technical mentorship and upskilling to scrum team members and across functional boundaries where appropriate
- You will Identify areas for modification or refactoring inside our code-base and champion their improvement.
- You will lead by example, contributing to a culture of high quality, personal ownership and customer focused execution

Requirements
Salary up to 60 LPA (depending upon your experience)
5+ years of solid experience with a wide range of web, backend, or mobile technologies.
● Mastery of Ruby on Rails in a cloud-based ecosystem
● Experience presenting technical solutions to peers and managers.
● A proven track record of designing scalable and maintainable technical solutions.
• Experience coordinating development efforts across multiple managing projects in
parallel.
● Experience working with off-shore/outsourced developers across different time zones.
● Experience with code review tools and practices to ensure best practices are followed
and code quality gates are achieved.
● Experience with creating documentation, unit tests, integration tests, security, and load
tests.
● Solid Understanding of GitOps principles.
Nice to have:
● Working knowledge of Docker, Kubernetes, Terraform, and GitLab CI/CD pipelines
● Comfortable with open source monitoring tools like Prometheus, Grafana, Loki
● Experience with AWS, GCP, Azure, and Digital Ocean
Roles and Responsibilities:
Experience in application components using Spring Boot.
Should possess application development experience in Java 7/8, Spring Framework, Spring Boot
Design and develop micro services/APIs using either Java/Spring boot. · Experience working in Agile environment and good understanding of Agile processes.
Good in any front end technologies like React JS
Experience in AWS
Knowledge of Application Server like Tomcat, Testing frameworks like JUnit Skills:
Spring Boot, Swagger, Tomcat , Maven, Jenkins, Git, Postman, kubernetes, Docker, Hibernate.
Strong knowledge on both SQL and NOSQL Databases. ·
Possess excellent communication and interpersonal skills and can articulate your ideas to different stakeholders.
Proficient understanding of code versioning tools, such as Git.
Experience in working as a team to design, document, develop, test, implement and maintain modular, multi-tier large Java applications.
Great interpersonal and communication skills
We are front runners of the technological revolution with an inexhaustible passion for technology! DevOn is the technical organization that originated from Prowareness. We are the company at the forefront of leading DevOps transformations and setting up High Performance Distributed DevOps teams with leading companies worldwide. DevOn helps market leaders to take the next step in software delivery. We consist of a dynamic team, in which personal growth is central!
About You
You have 6+ years of experience in AWS infra Automation. This is a fantastic opportunity to work in a fast-paced operations environment and to develop your career in Cloud technologies, particularly Amazon Web Services.
You are building and monitoring CI/CD pipeline in AWS cloud. This is a highly scalable backend application building on Java platform. We need a resource who can troubleshoot, diagnose and rectify system service issues.
You’re cloud native with Terraform as an orchestration. You would use Terraform as a key Orchestration in Infrastructure as Code.
You're comfortable driving. You prefer to own your work streams and enjoy working in autonomy to progress towards your goals.
You provide an incredible support to the team. You sweat the small stuff but keep the big picture in mind. You know that a pair programming can give better result
An ideal candidate is/are:
This is a key role within our DevOps team and will involve working as part of a collaborative agile team in a shared services DevOps organization to support and deliver innovative technology solutions that directly align with the delivery of business value and enhanced customer experience. The primary objective is to provide support to Amazon Web Services hosted environment, ensure continuous availability, working closely with development teams to ensure best value for money, and effective estate management.
- Setup CI/CD Pipeline from scratch along with integration of appropriate quality gates.
- Expertise level knowledge in AWS cloud. Provision and configure infrastructure as code using Terraform
- Build and configure Kubernetes-based infrastructure, networking policies, LBs, and cluster security. Define autoscaling and cost strategies.
- Automate the build of containerized systems with CI/CD tooling, Helm charts, and more
- Manage deployments and rollbacks of applications
- Implement monitoring and metrics with Cloud watch, Newrelic
- Troubleshoot and optimize containerized workload deployments for clients
- Automate operational tasks, and assist in the transition to service ownership models.


