Account and Finance Executive

Primary Responsibilities

• Understand current state architecture, including pain points.
• Create and document future state architectural options to address specific issues or initiatives using Machine Learning.
• Innovate and scale architectural best practices around building and operating ML workloads by collaborating with stakeholders across the organization.
• Develop CI/CD & ML pipelines that help to achieve end-to-end ML model development lifecycle from data preparation and feature engineering to model deployment and retraining.
• Provide recommendations around security, cost, performance, reliability, and operational efficiency and implement them
• Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends.
• Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives.
• Make recommendations and assess proposals for optimization.
• Identify operational issues and recommend and implement strategies to resolve problems.

Must have:

• 3+ years of experience in developing CI/CD & ML pipelines for end-to-end ML model/workloads development
• Strong knowledge in ML operations and DevOps workflows and tools such as Git, AWS CodeBuild & CodePipeline, Jenkins, AWS CloudFormation, and others
• Background in ML algorithm development, AI/ML Platforms, Deep Learning, ML Operations in the cloud environment.
• Strong programming skillset with high proficiency in Python, R, etc.
• Strong knowledge of AWS cloud and its technologies such as S3, Redshift, Athena, Glue, SageMaker etc.
• Working knowledge of databases, data warehouses, data preparation and integration tools, along with big data parallel processing layers such as Apache Spark or Hadoop
• Knowledge of pure and applied math, ML and DL frameworks, and ML techniques, such as random forest and neural networks
• Ability to collaborate with Data scientist, Data Engineers, Leaders, and other IT teams
• Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
• Willing to flex daily work schedule to allow for time-zone differences for global team communications
• Strong interpersonal and communication skills

Roles and Responsibilities:

Business Development is a critical aspect of our platform business.

1. Actively seeking out new sales opportunities through cold calling, networking, and social media.

2. Calling 65-70 leads every day

3. Setting up meetings with potential clients (parents)

4. Generating Trial Classes - Pitch Parents to take PlanetSpark Trial Classes

5. Negotiate/close deals and handle complaints or objections

6. Follow and achieve the department’s sales goals on a monthly, quarterly, and yearly basis (3L revenue per month)

7. “Go the extra mile” to drive sales

Skill Required - Excellent Communication Experience Required - 00-1 year (fresher also welcome)

Minimum Education: Graduation( 2018-2023)

• This role sits within the project management vertical of the organization. It will support the project delivery and execution of project tasks related to clients and is expected to bring an understanding of the importance of data in value creation and process efficiency, alongside demonstrated success working as part of a team. 
• Assumes responsibility for maintaining documentary support of projects and delivery of assigned project tasks. Supports ongoing administrative and compliance activities in the team, identifying issues and proposing solutions. 

• The position is very hands-on and requires an energetic self-starter and innovative team player, comfortable with an agile way of project delivery. Willingness to undertake varied tasks, apply thought processes to data management and process improvement, share ideas, and work resolution of issues with customers and internal teams. 
• This role must develop strong working relationships with the development team for product support.

• Execute the delivery of customer project tasks, processes, and solutions, especially within the SAP IAM/ASPM platform, including maintaining a project office and status reporting using MS office & internal project management tools up to intermediate skill level with MS Excel, PowerPoint, and MS Word 
• Utilize Excel and database skills to execute project tasks involving data mining and normalization for agile delivery 

• Demonstrate technical aptitude to execute project activities 
• Provide resolution to client’s support tickets through customer interaction and communication 
• Interact with customers through defined communication channels for any information 
• Create and edit customer Power BI reports as per the client’s business needs 
• Support development of training material as per the requirements 

• Testing AsInt’s applications with the support of the development team 
• Document management and versioning for up-to-date documentation 
• Have the desire and ability to work in a fast-paced agile project delivery environment 

• 2 to 5 years of strong project management experience, preferably in SAP product implementation. 

• BE or B. Tech degree with a minimum of 2 years of professional project delivery experience 
• Advanced Excel skills for data mining and normalization. Must be able to write excel formulas and VBA Macros, create graphs and visualizations 
• Power BI intermediate level proficiency – Create basic visualization as an end user 
• MS Access for data management 
• Excellent communication (Good Verbal, Written, and Presentation) and soft skills for client interaction 

• Basic SQL query 
• Application Testing from an end user perspective to create test scenarios 
• Working in Agile Methodology

GOOD TO HAVE 

• SAP Intelligent Asset Management product basic hands-on as an end-user 

• Basic Asset Management understanding 

• Adept at Machine learning techniques and algorithms.

Feature selection, dimensionality reduction, building and

• optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Doing ad-hoc analysis and presenting results
• Proficiency in using query languages such as N1QL, SQL

Experience with data visualization tools, such as D3.js, GGplot,

• Plotly, PyPlot, etc.

Creating automated anomaly detection systems and constant tracking

• of its performance
• Strong in Python is a must.
• Strong in Data Analysis and mining is a must
• Deep Learning, Neural Network, CNN, Image Processing (Must)

Building analytic systems - data collection, cleansing and

• integration

Experience with NoSQL databases, such as Couchbase, MongoDB,

Cassandra, HBase

SDET - Mobile

Skills: Appium,C#,Selenium, Mobile Automation, Appium framework, Query the database

Experience:  5- 11 yrs

Education: B.Tech/B.E(Mandatory)

Mobile Test,  5+Years e Manual & AutomationTesting in Mobile applications like Android and IOS, C# or Java Programming SQL, automation framework development, Appium, Selenium