Inside Sales - SaaS

What You Will Do:

Following are high level responsibilities that you will play but not limited to:

· Develop and maintain data pipelines using Azure Data Factory (ADF) /Databricks for data integration and ETL processes.

· Design, implement, and optimize Power BI /Fabric reports and dashboards to deliver actionable business insights.

· Collaborate with data analysts, business users, and other teams to understand data requirements and deliver solutions using ADF and Power BI.

· Extract, transform, and load (ETL) data from various sources into cloud-based storage systems such as Azure Data Lake or Azure SQL Database.

· Work with large datasets and optimize queries and pipelines for performance and scalability.

· Ensure data quality, integrity, and availability throughout the data lifecycle.

· Automate repetitive data tasks, ensuring timely and accurate reporting.

· Monitor and troubleshoot data pipelines, addressing any performance or data issues promptly.

· Support data visualization and reporting tools, including Power BI, to enable business stakeholders to make data-driven decisions.

· Write clear, efficient, and maintainable code for data transformations and automation.

Required Qualifications:

· Bachelor's degree in computer science, Information Technology, Engineering, or a related field.

· 8+ years of hands-on experience in Data Engineering, BI Developer or a similar role.

· Proficiency with Azure Data Factory (ADF), including the creation of data pipelines and managing data flows.

· Strong experience in Power BI, including report creation, dashboard development, and data modeling.

· Experience with SQL and database management (e.g., Azure SQL Database, SQL Server).

· Knowledge of cloud platforms, especially Microsoft Azure.

· Familiarity with data warehousing concepts and ETL processes.

· Experience working with cloud-based data storage solutions (e.g., Azure Data Lake, Azure Blob Storage).

· Strong programming skills in languages such as Python, SQL, or other relevant languages.

· Ability to troubleshoot and optimize data pipelines for performance and reliability.

Preferred Qualifications:

· Familiarity with data modeling techniques and practices for Power BI.

· Knowledge of Azure Databricks or other data processing frameworks.

· Knowledge of Microsoft Fabric or other Cloud Platforms.

What we need?

· B. Tech computer science or equivalent.

Key Responsibilities

🖥️ Frontend (Angular)

• Develop responsive, accessible web UI for assessment tools, educator dashboards, and parent reports.
• Implement dynamic form builders and scoring interfaces for multiple domains (reading, writing, math).
• Build PDF report previews, filtering tools, and real-time updates.

🔙 Backend (Python/FastAPI)

• Design and implement APIs for user management, assessments, intervention logs, and reports.
• Integrate scoring logic and data aggregation for AI insights.
• Implement secure role-based access (admin, educator, parent).

🛠️ DevOps / Systems

• Maintain scalable architecture with PostgreSQL / MongoDB, Docker, and deployment pipelines.
• Work with AI engineer to connect ML models to backend for prediction and recommendation layers.
• Optimize performance and ensure data security (GDPR-aligned).

 Writing, editing and proofreading website content.

- Write Articles, Blogs, Social media,  Forum and other SEO best practices.

- Develop content to support SEO strategies to drive traffic to the site and improve website Ranking.

- Understanding of Web publishing requirements.

- Experience in creating content for the web and growing a social audience.

- Editorial mindset with an ability to predict audience preferences.

- Expertise in social media platforms.

- Collaborate with multiple teams to develop compelling content plans.

- Ability to deliver high-quality documentation paying attention to details.  

- Basic Knowledge of technical terminologies.

- Excellent communication skills in English both written and spoken.

• Design and develop a comprehensive website using Next.js, integrating both client-side and server-side architecture.
• Build reusable code and libraries for future use, ensuring the technical feasibility of UI/UX designs.
• Optimize applications for maximum speed and scalability across a vast array of web-capable devices and browsers.
• Collaborate with team members, including designers and project managers, to translate business and user requirements into technical solutions.
• Implement robust security and data protection measures.
• Stay up-to-date with emerging technologies and industry trends to incorporate into operations and practices.
• Conduct testing to identify bugs and technical issues before and after deploying.
• Document development processes, code changes, and other technical information for reference and reporting.

At Ocean Friends, we are looking to positively impact the lives of families dealing with chronic health conditions through technology. We are looking for self-driven, and motivated Software Engineers with intent and ability to work across a variety of technology problems, including, but not limited to Mobile app development, AI/ML, and User experience.

Job Description:

• Work closely with various people and teams throughout the entire app development cycle (concept, design, build, deploy & test) in an agile environment.
• Design and build applications for the Android platform.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization, and automatization.
• Knowledge of other web technologies and UI/UX standards.
• Familiarity with cloud message APIs and push notifications.
• Proficient understanding of code versioning tools like Git.
• Maintain and update the existing mobile app.

Reporting Structure

• This position reports to the Team Leader - Technology.

Job Specifications

• An Graduate in IT or Post graduate or Engineer in IT; with 4+ years’ of relevant experience.
• Minimum 2 years of experience in Flutter is a must.
• Familiarity with RESTful APIs to connect Android applications to back-end services.
• Excellent communication and interpersonal skills.
• Strong problem solving, analytical, decision making and technical ability.

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