AppLogic Networks powers the networks behind AI and the critical applications people rely on every day. We help network owners service providers and Enterprises understand how applications perform, how users experience them, and where action is needed to improve quality, efficiency, security, and profitability. Our software combines application intelligence, experience visibility, contextual insights, and real-time control to help customers elevate observability and do more with the networks they already run. As AI reshapes how the world works, connects, and communicates, AppLogic Networks helps ensure modern applications run smoothly across any network, from the consumer edge to the data center. Join our team and help build the software that makes networks smarter, more adaptive, and ready for what comes next.
OverviewThe Data Scientist will deliver innovative business consulting, business process design, systems integration, and application design and management. This role will help our company better understand and describe its data and use the resulting understanding to develop tools that provide value to our customers by detecting and anticipating problems, forecasting and predicting customer needs, and implementing system-based prescriptive solutions. As a member of the R&D software development team, this role is responsible for all stages of AI/ML research and development.
Responsibilities- Responsible for solutions to Data science (DS) problems within AppLogic Network
- Effectively gather requirements with respect to data analysis and engineering
- Design appropriate workflow for maintaining the solution and automation if any is required
- Design & document appropriate workflow for full product life cycle for solution for deployment & maintenance
- Responsible for building all stages of AI/ML pipeline. A complete hands-on person to solve an identified problem from start to finish
- As a Data Science SME, you must be an expert on Deep learning, machine learning methodologies.
- Responsible for prototype/PoC of new DS features
- You will work as an integral member of a self-directed Agile development team employing a Scrum-based methodology to deliver predictably on-time every time with quality
- Own & support result analysis from customer and field deployments and identify/implement improvements to the product as a data science expert
- Continuous improvement is at our core, you are encouraged to find new ways of doing things that will continuously improve daily work
- Stay ahead of public/private cloud technologies, tools & techniques of production grade DS software
Required
- Must have worked on deep learning products in production environment
- Expertise & experience in all stages of production grade ML pipeline
- Data collection
- Data Engineering & visualization
- Feature Engineering
- Modelling
- Feedback & Tuning
- Expert in open source AI/ML packages (eg. Scikit-learn)
- Experience on PowerBI, Tableau, Database and MS Objects is a plus
- Experience with ML/AI and data engineering along with data pipelines infrastructure is a plus
- Ability to review and quickly resolve problems
Desired
- Self-motivated and able to deliver on commitments on-time all the time with quality
- Proactive & willing to take challenging technical initiatives that may be completely new
- Able to work independently as well as within a geographically distributed agile development team
- Excellent listening skills and ability to influence a variety of cultures and personalities
- Able to work globally and across time zones and cultures
- Excellent written and verbal communications skills are important
- Able to travel to customers and our global R&D centers
- Bachelor’s or Master’s degree in Computer Science or engineering
- 7+ years of hands-on software development experience, 2+ years of hands-on experience in Deep learning techniques
- 5+ years of proven experience in python/Java/Golang (Must be an expert in the chosen implementation language)
- Team Environment
- Flexible hours
- Casual Office environment
- Fast Paced environment
- Competitive base salary and performance-based compensation
- Flexible working environment designed for high-performance teams
- Clear path for career growth as the company scales
- Comprehensive benefits package supporting your health and well-being
Skills Required
- Must have worked on deep learning products in production environment
- Expertise and experience in all stages of production-grade ML pipeline (data collection, data engineering, visualization, feature engineering, modeling, feedback & tuning)
- Expert in open source AI/ML packages (eg. Scikit-learn)
- 7+ years of hands-on software development experience
- 2+ years of hands-on experience in Deep learning techniques
- 5+ years of proven experience in Python, Java, or Golang (expert in chosen implementation language)
- Bachelor's or Master's degree in Computer Science or Engineering
- Ability to review and quickly resolve problems
- Experience with PowerBI, Tableau, Database and MS Objects
- Experience with ML/AI and data engineering along with data pipelines infrastructure
- Able to travel to customers and global R&D centers
- Self-motivated and proactive; able to work independently and across distributed agile teams
What We Do
AppLogic Networks Application and Network Intelligence Portfolio analyzes, optimizes, and monetizes application experiences.
