Python Developer

With a core belief that advertising technology can measurably improve the lives of patients, DeepIntent is leading the healthcare advertising industry into the future. Built purposefully for the healthcare industry, the DeepIntent Healthcare Advertising Platform is proven to drive higher audience quality and script performance with patented technology and the industry’s most comprehensive health data. DeepIntent is trusted by 600+ pharmaceutical brands and all the leading healthcare agencies to reach the most relevant healthcare provider and patient audiences across all channels and devices. For more information, visit DeepIntent.com or find us on LinkedIn.

We are seeking a skilled and experienced Site Reliability Engineer (SRE) to join our dynamic team. The ideal candidate will have a minimum of 3 years of hands-on experience in managing and maintaining production systems, with a focus on reliability, scalability, and performance. As an SRE at Deepintent, you will play a crucial role in ensuring the stability and efficiency of our infrastructure, as well as contributing to the development of automation and monitoring tools.

Responsibilities:

• Deploy, configure, and maintain Kubernetes clusters for our microservices architecture.
• Utilize Git and Helm for version control and deployment management.
• Implement and manage monitoring solutions using Prometheus and Grafana.
• Work on continuous integration and continuous deployment (CI/CD) pipelines.
• Containerize applications using Docker and manage orchestration.
• Manage and optimize AWS services, including but not limited to EC2, S3, RDS, and AWS CDN.
• Maintain and optimize MySQL databases, Airflow, and Redis instances.
• Write automation scripts in Bash or Python for system administration tasks.
• Perform Linux administration tasks and troubleshoot system issues.
• Utilize Ansible and Terraform for configuration management and infrastructure as code.
• Demonstrate knowledge of networking and load-balancing principles.
• Collaborate with development teams to ensure applications meet reliability and performance standards.

Additional Skills (Good to Know):

• Familiarity with ClickHouse and Druid for data storage and analytics.
• Experience with Jenkins for continuous integration.
• Basic understanding of Google Cloud Platform (GCP) and data center operations.

Qualifications:

• Minimum 3 years of experience in a Site Reliability Engineer role or similar.
• Proven experience with Kubernetes, Git, Helm, Prometheus, Grafana, CI/CD, Docker, and microservices architecture.
• Strong knowledge of AWS services, MySQL, Airflow, Redis, AWS CDN.
• Proficient in scripting languages such as Bash or Python.
• Hands-on experience with Linux administration.
• Familiarity with Ansible and Terraform for infrastructure management.
• Understanding of networking principles and load balancing.

Education:

Bachelor's degree in Computer Science, Information Technology, or a related field.

DeepIntent is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together.

DeepIntent is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, immigration status, or any other status protected under applicable federal, state and local laws. If you have a disability or special need that requires accommodation, please let us know in advance.

DeepIntent’s commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training.

Responsibilities:

We’re looking for someone who is enthusiastic, comfortable with uncertainty, flexible, great with people and isn’t afraid to roll up their sleeves and get their hands dirty. Every day is an opportunity to bring your vision to life, and to expand, learn, and grow. No idea is left unconsidered. No voice is left unheard.

• Supporting system design, development and maintenance
• Taking responsibility for personal technical quality standards within the team
• Assisting in defining structured practices, especially in source code management, building and deployment
• Optimising applications for maximum speed and scalability
• 2-6 years of experience

Skills

NodeJs

• Has led engineering teams before with full-stack developers preferably and can contribute to building the team as per requirement
• Lead the team to plan, deign and build solutions
• Work closely with the founders to decide the direction of the product
• Have experience redefining the MSME sector
• Have worked on digitizing the supply side of the organization
• Have an experience of 6-8 years in the industry
• Preferable SaaS experience with a B2B set up

skills:Automation Testing,Selenium,Cucumber,CI/CD , Agile.

Test Automation:

• Role Overview

• • Highly-skilled test automation engineer to design automation tests. Test automation engineers' duties include designing automation scripts and finding solutions for automation problems.

• Key Knowledge

• • 2+ years of experience as a Test Automation Engineer or QA Engineer/Tester.
  • Expertise in test automation toolkits such as Selenium, Cucumber (or others).
  • Experience in CI/CD Model.
  • Understanding of testing protocols.
  • Familiarity with the software development process.
  • Works in an agile setting.
  • Previous experience in software development.

Experience: 3.5 - 5 years

Description :

- Very good experience in design and development on UI front end Technologies.

- Minimum 3+ Years of web application development using HTML 5, CSS3, Bootstrap, JavaScript.

- Experience in development of Angular 2/4/6.

- Expertise in Responsive web design, HTML5, and CSS pre-processors SASS and LESS

- Good in UML, OOPS, design principles and patterns, architectural trends and data modeling.

- Strong in JavaScript (object oriented concepts) & JavaScript optimization

- Experience on JavaScript frameworks such as AngularJS, ReactJS, NodeJS etc.

- Ability to convert Wireframes in to UI design

- Good designing capabilities using Bootstrap framework, SEO and using strategies for cross-platform design initiatives with a 360-degree digital design

- Strong experience with debugging skills and fixing Cross Browser Compatibility issues and Optimization for web by using best practices

- Good Communication

- Good knowledge of quality standards and best practice

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