Business Development Associate

Job Title: Data Architect - Azure DevOps

Job Location: Mumbai (Andheri East)

About the company:
MIRACLE HUB CLIENT,   is a predictive analytics and artificial intelligence company headquartered in Boston, US with offices across the globe. We build prediction models and algorithms to solve high priority business problems. Working across multiple industries, we have designed and developed breakthrough analytic products and decision-making tools by leveraging predictive analytics, AI, machine learning, and deep domain expertise.

Skill-sets Required:

• Design Enterprise Data Models
• Azure Data Specialist
• Security and Risk
• GDPR and other compliance knowledge
• Scrum/Agile
   

Job Role:

• Design and implement effective database solutions and models to store and retrieve company data
• Examine and identify database structural necessities by evaluating client operations, applications, and programming.
• Assess database implementation procedures to ensure they comply with internal and external regulations
• Install and organize information systems to guarantee company functionality.
• Prepare accurate database design and architecture reports for management and executive teams.
  
  

Desired Candidate Profile:

• Bachelor’s degree in computer science, computer engineering, or relevant field.
• A minimum of 3 years’ experience in a similar role.
• Strong knowledge of database structure systems and data mining.
• Excellent organizational and analytical abilities.
• Outstanding problem solver.
• IMMEDIATE JOINING (A notice period of 1 month is also acceptable)
• Excellent English communication and presentation skills, both verbal and written
• Charismatic, competitive and enthusiastic personality with negotiation skills

Compensation: NO BAR  .

Job Title : Business Development Associate

Location : Gurgaon

Working : Work from office (WFO )

Industry : Ed Tech

Functional Area : INSIDE SALES

Shift: Day Shift / Night Shift ( optional )

Roles & Responsibilities :

The sales Representative at Planetspark will be responsible for assisting and guiding the right offering/course to the consumers and getting them to purchase the right learning course.

Responsibilities:

● Understanding the offerings for the students and guiding them throughout the process to choose the right option for them

● Initiating phone conversations with parents who complete the demo classes for their kids.

● Intensely following up with the prospects and closing the sales within the sales cycle.

● Diligently communicating and priming the lead through channels like email, and calls.

● Ensuring accurate and proper record-keeping of call information in electronic and digital format.

● Achieving the monthly targets while completing all the input metrics targets,

Hiring Criteria

Training Period :- 21,428. ( Stipend +Incentive)

Salary Range : (CTC) - 6,50,400/-

Skill Required - Excellent Communication

Exp Required : 6Months -2 Years ( fresher also welcome)

Minimum Education : Graduation

2018,2019,2020,2021,2022,2023

Important Criteria -

Willing to work 5 days a week.

Willing to work in a Start-up (High Intensive learning and Rapid

Growing atmosphere)

Job Location – Gurgaon 

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

SEO Executive Job Description

We are looking for a result-driven SEO executive to be responsible for developing optimized web content. The SEO executive's responsibilities include working closely with the marketing team to achieve SEO objectives, measuring the success of SEO and ROI, and assisting with the maintenance of the website's architecture to ensure user friendliness.

To be successful as an SEO executive, you should have strong copywriting and analytical skills, and a commitment to constantly improving on key skills. Ultimately, an SEO executive should have outstanding knowledge of SEO, passion for the industry and time management skills.

SEO Executive Responsibilities:

• Improving the websites to increase web traffic.
• SEO will be responsible for planning, implementing and managing overall SEO strategy.
• Conducting on-site and off-site analysis of web SEO competition.
• Using google analytics to conduct performance reports regularly.
• Creating high-quality SEO content.
• Assisting with blog content.
• Leading keyword research and optimization of content.
• Keeping up-to-date with developments in SEM.

SEO Executive Requirements:

• Marketing degree or related.
• Extensive experience in SEO.
• Working knowledge of Google Analytics.
• Thorough understanding of web design and site structures.

Skills Required (Mandatory):

• Automation Testing- using Selenium Java

Roles and Responsibilities:

Experienced with automation tools -Selenium or Appium

Defect management tools (ie: JIRA) Scripting knowledge with Java Programming language 

Understanding of current technologies, Software Test Life Cycle (STLC), Agile and Iterative Development methodologies.

Identify and communicate test plan / cases to automate based on automation framework and approach Defect management tools (ie: JIRA).

Good to Have:

Jmeter, Saucelabs, Testfairy, Postman, Charles proxy, Logcat, etc.

Agile methodology.

• Measure the sales effectiveness efforts using data science/app/digital nudges.
• Should be able to work on the clickstream data
• Should be well versed and willing to work hands-on various Machine Learning techniques

Skills

• Ability to lead a team of 5-6 members.
• Ability to work with large data sets and present conclusions to key stakeholders.
• Develop a clear understanding of the client’s business issue to inform the best approach to the problem.
• Root-cause analysis
• Define data requirements for creating a model and understand the business problem
• Clean, aggregate, analyze, interpret data and carry out quality analysis of it
• Set up data for predictive/prescriptive analysis
• Development of AI/ML models or statistical/econometric models.
• Working along with the team members
• Looking for insight and creating a presentation to demonstrate these insights
• Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects.