Executive Assistant to COO

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

CORE RESPONSIBILITIES:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

SKILLS:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

REQUIRED EXPERIENCE:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Candidate must have 6 to 8 years of experience in Real Estate industry

● Prefer candidates from Real Estate, Banking & Finance Sector, Insurance sector.

● Candidate must have Knowledge of Real Estate Laws and Regulations.

● Candidate should have experience in Post-Sale Operations Management, MIS Management & CRM Software handling, Project Documentation & Compliance and Audits on QRC (Query/Request/Complaints) process.

● Candidate should be good in Customer Relationship Management, Banking & Financial Ties, Financial Management.

● Candidate should have Excel Proficiency.

Role: BDE/BDM

Experience- 3 - 5 Years

Budget- 7 - 8 LPA

Key Responsibilities:

• Implement and ensure the successful execution of business development strategies devised by senior leadership.
• Monitor and report on the progress of strategy execution, providing insights and recommendations for improvements.
• Lead, train, and mentor junior Business Development Executives and interns over sales processes and practices.
• Conduct regular training sessions on the use of advanced AI technology in Sales, sharing best sales practices from sales leaders to enhance the team's skills and knowledge.
• Oversee day-to-day sales activities like pipeline review, email validations, and cold-call mock sessions to ensure the sales team aligns in achieving sales targets.
• Support the team in identifying potential clients and establishing strong relationships.
• Assist in the development and delivery of presentations and proposals to prospective clients.
• Assist the team in achieving sales targets and contributing to revenue growth.
• Work closely with other departments, including marketing, product development, and customer support, to ensure alignment and synergy in business efforts.

Key Responsibilities:

• Rewrite existing APIs in NodeJS.
• Remodel the APIs into Micro services-based architecture.
• Implement a caching layer wherever possible.
• Optimize the API for high performance and scalability.
• Write unit tests for API Testing.
• Automate the code testing and deployment process.

Skills Required:

• At least 2.5 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds.
• Excellent hands-on experience using MySQL or any other SQL Database.
• Good knowledge of MongoDB or any other NoSQL Database.
• Good knowledge of Redis, its data types, and their use cases.
• Experience with graph-based databases like GraphQL and Neo4j.
• Experience developing and deploying REST APIs.
• Good knowledge of Unit Testing and available Test Frameworks.
• Good understanding of advanced JS libraries and frameworks.
• Experience with Web sockets, Service Workers, and Web Push Notifications.
• Familiar with NodeJS profiling tools.
• Proficient understanding of code versioning tools such as Git.
• Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms.
• Should be a fast learner and a go-getter — without any fear of trying out new things Preferences.
• Experience building a large-scale social or location-based app.

Responsibilities:

• Participate and lead Business Requirements gathering, documentation of BRD and overall Solution design.
• Implementation of designed system in NetSuite and support to project team.
• Ensure the best practices implementation based on Industry standard.
• Need to be involved on Reviews, check feasibility of solution and functional fitment as per NetSuite and align customer expectations and NetSuite capabilities to ensure smooth project delivery.
• Prepare test cases of modules implemented, validate the deliverables before Client testing and UAT.
• Follow up with Client and Support for issue resolution.
• Documenting the resolution of issues and sharing with the internal team on ongoing basis.
• Interact with the key end users and business owners to map applications to standard business processes and conduct gap analysis
• Suggest process improvements based on the application capability and industry best practices
• Support all formal documentation of implementation and provide relevant functional inputs to technical team
• Contribute to the training and development of key NetSuite team.
• Support in Pre Sales, demos and estimates as an when required.
• Ensure weekly Client reporting and support to Project Management team.

Qualifications/Skills:

• Bachelor’s degree preferably in Engineering, MCA, MSC, or Accounting.
• Minimum 5 years’ experience in NetSuite with 8 to 10 years of end-to-end in NetSuite Implementation.
• Good knowledge of all NetSuite Modules with strong understanding of functional processes
• NetSuite Foundation / ERP Consultant certification preferred.
• Demonstrated experience in translating customer business requirements into workable business solutions, preferably on SaaS.