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Strong dialer manager profile

Mandatory (Experience 1):Must have 2+ years of core dialer operations experience with major dialer systems — Genesys, Avaya, Aspect, Ameyo

Mandatory (Experience 2): Must have hands-on experience in outbound campaign creation, list uploads, pacing changes, and real-time monitoring.

Mandatory (Technical Experience): Must understand routing/pacing optimization, retry logic, call attempts, ANI strategy, contact strategy, and compliance norms etc

Level of skills and experience:

5 years of hands-on experience in using Python, Spark,Sql.

Experienced in AWS Cloud usage and management.

Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).

Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.

Experience with orchestrators such as Airflow and Kubeflow.

Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).

Fundamental understanding of Parquet, Delta Lake and other data file formats.

Proficiency on an IaC tool such as Terraform, CDK or CloudFormation.

Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst

• Greet and welcome visitors in a professional and friendly manner
• Answer and direct phone calls promptly and efficiently
• Manage the reception area, ensuring it is clean and organized
• Provide administrative support to various departments, including typing, filing, and scheduling meetings
• Assist with vendor management tasks, such as maintaining vendor records, processing orders, and resolving vendor inquiries
• Perform basic accounting tasks, including processing invoices, reconciling accounts, and preparing financial reports
• Assist with other ad-hoc tasks and projects as needed

Requirements:

• Diploma or equivalent or higher; additional education or certification in office administration or accounting is a plus
• Proven experience in a receptionist, administrative assistant, or similar role
• Strong communication and interpersonal skills
• Excellent organizational and time management abilities
• Proficiency in Microsoft Office suite (Word, Excel, Outlook)
• Basic knowledge of accounting principles and practices
• Ability to multitask and prioritize tasks effectively in a fast-paced environment

• Suggest programmatic strategy and tactics that coordinate with and augment the overall media plan objectives for DB2B clients
• Create and actively manage and optimize programmatic campaigns in DSPs
• Be consistently curious and inquisitive – learn how platforms work, and more importantly, learn how to game them
• Manage campaigns across programmatic mobile, display, video, OTT, CTV, and audio
• Understand how data from various channels can help the overall customer journey for each client account
• Identify, suggest, and setup private marketplace deals
• Continually acquire knowledge by maintaining relationships with key programmatic vendors portfolio
• Actively monitor campaign KPIs via reporting
• Produce and present engaging campaign analysis to clients, demonstrating the effectiveness of planning, testing, and media optimization and management
• Provide insight and guidance to members of the integrated media team
• Maintain and stay current on industry news and research

Qualifications

• Hands-on experience with one or more of the following DSPs: Google DoubleClick Bid Manager(DV360), TheTradeDesk, DataXu, Amazon Advertising Platform, Adobe/TubeMogul, and Sizmek
• DoubleClick Campaign Manager/DoubleClick Bid Manager certifications are preferred but not required
• Strong written and verbal communication skills
• Detail-oriented and organized
• Able to multitask and work well under pressure
• Positive team player
• Proficiency in Microsoft Office applications
• Bachelor of Arts or Bachelor of Science degree

• Design, develop, implement, test and support new Sitecore 8.2 features defined by business project team.
• Participate in discussions with product owner to refine requirements.
• Work with the rest of the development team, helping where appropriate

• Certified senior or semi-senior Sitecore developer with 4+ years Supporting and Developing Sitecore solutions (must have)
• Senior or semi-senior MVC C# developer (must have)
• 4+ years experience with front end development: javascript, css, HTML. (must have) • Experience with personalization features and xDB with MongoDB (nice to have) • Familiar with secure coding practices - how to prevent SQL injections, Encrypted traffic, etc

Profile:

We are a Funded Startup developing a Gamified EdTech Mobile App. We are looking for an experienced Backend Developer (at least 4 years) who has hands-on experience of NodeJS (at least 2 years) and PostgreSQL (at least 2 years). You will be responsible for Defining, Developing and Maintaining all Server-Side Logic, Components, and Database.

Responsibilities: 

• Developing and Maintaining all Server-Side Logic and Components
• Defining and Maintaining all Schemas and Database
• Writing Cron Jobs in NodeJS
• Writing Database Triggers in PostgreSQL
• Testing, Repairing Defects and providing Technical Support.
• Documenting Node.js Processes, Database Schemas, and Preparing Reports
• Collaborating with Frontend Developers and Integrating with Frontend Components

Requirements: 

• Bachelor’s Degree in Computer, Information Technology, or similar
• Hands-on experience as a Backend Developer (at least 4 years)
• Hands-on experience of NodeJS (at least 2 years)
• Hands-on experience of PostgreSQL (at least 2 years)
• Hands-on experience of ExpressJS and Docker
• In-depth knowledge of Database Architecture
• Working knowledge of Multithreading in NodeJS
• Working knowledge of Python and ReactJS
• Basic knowledge of HTML5 and CSS3

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