E-Learning Developer

Responsibilities:

- Collaborate with cross-functional teams including front-end developers, designers, and system administrators to develop robust and scalable server-side applications.

- Design and implement RESTful APIs and services using Node.js, ensuring efficient data handling and integration.

- Develop database schemas and models for MongoDB, optimizing queries and ensuring data integrity.

- Implement data migration and transformation tasks between different data sources.

- Write efficient and reusable code, following best practices and coding standards.

- Conduct thorough testing and debugging of applications to identify and fix issues promptly.

- Collaborate with DevOps team to deploy applications on servers or cloud platforms.

- Continuously monitor application performance and optimize it for scalability and reliability.

- Stay updated on emerging technologies and trends, actively suggesting improvements and innovative solutions.

Requirements:

- Strong proficiency in Node.js and JavaScript.

- Solid understanding of server-side development and asynchronous programming concepts.

- Experience working with NoSQL databases (e.g., MongoDB).

- Knowledge of database design and query optimization techniques.

- Familiarity with web application security principles and best practices.

- Proficiency in using version control systems (e.g., Git).

- Good understanding of agile development methodologies.

- Excellent problem-solving and analytical skills.

- Effective communication and collaboration abilities.

Head – Sales / Business Development

Objectives of this role

• Represent the company effectively with comprehensive knowledge of our offerings

• Research consumer needs and identify how our solutions address them

• Hire, train, motivate, and advise a team of sales representatives

• Achieve company objectives by planning thoroughly, setting sales goals, analyzing performance data, and making forecasts

• Develop skills continuously for hiring, training, and leading team members, and ensure that they're using effective sales tactics to meet revenue objectives

• Generate leads, and establish and nurture client relationships

Responsibilities

• Create and execute a strategic sales plan that expands our customer base and extends the company's global reach

• Meet with potential clients and grow long-lasting relationships that address their needs

• Recruit sales representatives, set objectives, train and coach them, and monitor their performance 

• Identify knowledge gaps within the team and develop plans for filling them

• Ensure that company quotas are met by holding daily check-ins with sales team to set objectives and monitor progress

• Manage the month-end and year-end close processes

Required skills and qualifications

• 8-10 years of experience in managing sales in a corporate setting

• MBA (Sales) 

• Proven record of success with the entire sales process, from planning to closing and overachieving sales targets

• Excellent communication, interpersonal, and organizational skills

• Superb leadership ability

• Ability to travel at least 20% of the time

Preferred skills and qualifications

• Motivational speaking experience

• Proven success rate at levels above sales quota

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.

• Maintain all records like Vouchers, Receipts, Bills, and Payments.
• Bank Reconciliation, Payment Collection.
• Monthly GST and TDS Working.
• Reconciliation of Sundry Debtors & Creditors
• Payment follows up by telephonic & mailing
• Daily Stock maintains.
• Handling petty Cash Records.
• Maintain Sales Purchase Registers & Keep in Software properly
• Handling to Day-to-Day Accounting
• Prepare Salary Statement
• Finalization of Accounts, Statement of Accounts, Debtors Controls Accounts, Buffer Accounts
• Tally Erp.

Role: Software Engineer

Location: Hyderabad

Experience: 3-5 years of experience in software development using Core Java, multi-threading, DS and Algos.

Key Requirements:

• • Develop robust Core Java code for advanced financial banking and trading applications, primarily using core Java principles around multi-threading and caching technologies.
• • Strong in Core Java concepts, JVM, API’s along with SQL and Java Message Service (JMS) skills.
• • Experience in Java server-side / backend development experience
• • Experience in Java Spring (Spring MVC, Spring batch, Spring Boot), Hibernate and JPA is a plus.
• • Knowledge of microservices development, container stack and CI/CD;

Company Profile:

The client is a provider of device lifecycle management and distribution solutions globally. Having forged valuable relationships over the last 2 decades with manufacturers, mobile network operators, distributors, wholesalers, and retailers in over 100 countries, we help grow their business with customized solutions across every stage of the wireless device lifecycle.

Job Synopsis:

Role: Business Head

Industry Type: E-Commerce

Education: Degree in Engineering plus MBA (Prefer top business schools)

Experience: 10-15 years

Location: Singapore

Job Responsibilities:

•         Deals with E-Commerce platforms for new and refurbished Mobile Phones.
•         Building the Online sales team – recruiting people, training, and building capabilities.
•         Developing an Online channel – setting the product, pricing, and promotion strategy.
•         Building infrastructure to support the marketplace model and increase penetration.
•         Joint Business Planning with Online customers to increase the traction and develop Lighting

Category on Online platform.

•       Broad functional experience in technology and/or various vertical industries.
•       Meeting and exceeding financial and channel sales goals for Modern Retail Channel.
•       Driving contract negotiations and terms improvement with customers.
•       Building effective Annual Business Plan and forecasts, in conjunction with all the stakeholders and departments, for driving Business.
•       Establish best practices for marketing and advertising in the mobile space.
•       Ensure alignment between marketing strategies and the overall business marketing strategy.
•       Collaborate and work with cross-functional teams to plan, deliver, and execute successful mobile marketing campaigns.

Required Qualifications:

•         10+ years of work experience with min 5+ years of experience in the E-Commerce field.
•         Strong familiarity with the mobile and digital content domains.
•       Prior experience in Used Smartphones (E-commerce)/new phone ecosystem.
•       Experience of working in Start-up companies and well-versed with the B2B & B2C market.
•       Willing to travel for business purposes.
•       Effective negotiation and vendor management skills.
•       Outstanding communication, interpersonal, and leadership skills.

Demonstrated experience in Development, unit test application modules based on specified design using PHP, AngularJS, NodeJS, HMTL5, CSS, J2EE/DB2 technologies using Agile Methods