Business Development Executive

Job Description:

1.     Machine Learning Development & Deployment

·      Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross sell/upsell opportunity identification.

·      Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.

·      Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.

2.     Cross-Functional ML Use Cases

·      Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.

·      Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3.

3.      Model Governance and MLOps

·      Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.

·      Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).

4. Data Engineering and Feature Architecture

·      Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.

·      Perform feature selection, transformation, and engineering aligned with each domain’s business logic. 5. Communication & Stakeholder Collaboration

·      Present technical insights and model results to business and executive stakeholders in a clear, actionable format.

·      Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Qualifications:

Required

• Bachelor’s or Master’s degree in (e.g., Computer Science, Engineering, Statistics, Mathematics)

• 4+ years of experience in machine learning, data science.

• Proficiency in Python, XGBoost, PyTorch, TensorFlow, or similar.

• Experience deploying models into production using ML pipelines and orchestration frameworks.

• Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).

• Hands-on experience in implementing machine learning algorithms such as Random Forest, XGBoost, Logistic Regression, and Deep Learning techniques including Neural Networks (ANN, CNN)

Preferred:

• Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.

• Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).

• Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).

• Background in statistics, forecasting, optimization, or recommendation systems.

Key Responsibilities

• Provide strong technical leadership and mentorship to software engineers.
• Define and execute engineering strategies aligned with business goals.
• Manage multiple concurrent projects with a focus on timely, high-quality delivery.
• Collaborate with cross-functional teams to define and prioritize product features.
• Drive Agile methodologies to enhance team performance and efficiency.
• Conduct performance reviews and foster continuous professional development.
• Oversee the complete SDLC—from design and development to deployment.
• Manage engineering budgets, resource allocation, and capacity planning.
• Stay updated with emerging technologies and industry best practices.
• Ensure high coding standards and adherence to engineering best practices.
• Contribute hands-on to coding, architecture, and technical design decisions.
• Work closely with clients and external stakeholders to translate requirements into scalable technical solutions.

Tech Stack

• Java
• Spring Framework
• Microservices Architecture
• Cloud Technologies
• Large-scale distributed systems

Ideal Candidate Profile

Experience

• 8+ years of engineering experience, including backend development and scalable distributed systems.
• 2+ years of people and delivery leadership experience.
• Proven client-facing experience, translating business needs into engineering execution.

Technical Expertise

• Strong hands-on experience with Java, Spring, microservices, and SDLC processes.
• Deep understanding of system design, architecture reviews, and engineering best practices.
• Experience with Agile methodologies and project management tools.

Leadership & Collaboration

• Strong communication skills with the ability to present to technical and non-technical stakeholders.
• Experience collaborating with product, design, sales, and client teams.
• Demonstrated ownership of end-to-end execution, release coordination, and delivery.

Additional Requirements

• Experience working in product-based organizations.
• Stable career history (minimum 2 years per previous organization).
• B.Tech in Computer Science, Engineering, or related field from Tier 1 / Tier 2 institutions (Master’s preferred).
• Education criteria may be relaxed for candidates from strong, reputed product organizations.

SharePoint Infra build;SharePoint Content Migration;CollabM365SharePointSuite;Sharepoint Online;Sharepoint 2019;SharePoint Search Configuratn;MS Power BI;Sharepoint Administration;

Job Title: AWS Devops Engineer – Manager Business solutions

Location: Gurgaon, India

Experience Required: 8-12 years

Industry: IT

We are looking for a seasoned AWS DevOps Engineer with robust experience in AWS middleware services and MongoDB Cloud Infrastructure Management. The role involves designing, deploying, and maintaining secure, scalable, and high-availability infrastructure, along with developing efficient CI/CD pipelines and automating operational processes.

Key Deliverables (Essential functions & Responsibilities of the Job):

·         Design, deploy, and manage AWS infrastructure, with a focus on middleware services such as API Gateway, Lambda, SQS, SNS, ECS, and EKS.

·         Administer and optimize MongoDB Atlas or equivalent cloud-based MongoDB solutions for high availability, security, and performance.

·         Develop, manage, and enhance CI/CD pipelines using tools like AWS CodePipeline, Jenkins, GitHub Actions, GitLab CI/CD, or Bitbucket Pipelines.

·         Automate infrastructure provisioning using Terraform, AWS CloudFormation, or AWS CDK.

·         Implement monitoring and logging solutions using CloudWatch, Prometheus, Grafana, or the ELK Stack.

·         Enforce cloud security best practices — IAM, VPC setups, encryption, certificate management, and compliance controls.

·         Work closely with development teams to improve application reliability, scalability, and performance.

·         Manage containerized environments using Docker, Kubernetes (EKS), or AWS ECS.

·         Perform MongoDB administration tasks such as backups, performance tuning, indexing, and sharding.

·         Participate in on-call rotations to ensure 24/7 infrastructure availability and quick incident resolution.

Knowledge Skills and Abilities:

·         7+ years of hands-on AWS DevOps experience, especially with middleware services.

·         Strong expertise in MongoDB Atlas or other cloud MongoDB services.

·         Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AWS CDK.

·         Solid experience with CI/CD tools: Jenkins, CodePipeline, GitHub Actions, GitLab, Bitbucket, etc.

·         Excellent scripting skills in Python, Bash, or PowerShell.

·         Experience in containerization and orchestration: Docker, EKS, ECS.

·         Familiarity with monitoring tools like CloudWatch, ELK, Prometheus, Grafana.

·         Strong understanding of AWS networking and security: IAM, VPC, KMS, Security Groups.

·         Ability to solve complex problems and thrive in a fast-paced environment.

Preferred Qualifications

·         AWS Certified DevOps Engineer – Professional or AWS Solutions Architect – Associate/Professional.

·         MongoDB Certified DBA or Developer.

·         Experience with serverless services like AWS Lambda, Step Functions.

·         Exposure to multi-cloud or hybrid cloud environments.

Mail updated resume with current salary-

Email: etalenthire[at]gmail[dot]com

Satish; 88O 27 49 743

Skill required:)

• Expert in writing clean, test-driven, easily maintainable, and modular code.
• Having a good working knowledge of database design and maintenance.
• Able to build reusable code and libraries for future use.
• Knowing troubleshooting and debugging applications is essential.
• Should have great performance in UI or backend tests to optimize performance.
• Capable of designing and developing web applications for the PHP platform (Laravel)
• Preferred to collaborate with cross-functional teams to define, design, and ship new features.
• Able to ensure the performance, quality, and responsiveness of web applications.
• Having sound working knowledge of identifying and correcting bottlenecks and fixing bugs.
• Able to work on bug fixing and improving application performance
• Able to constantly discover, evaluate, and implement new technologies to maximize development efficiency.

About RARA NOW

Not just a delivery company

RARA NOW is revolutionizing instant delivery for e-commerce in Indonesia through data-driven logistics.

RARA NOW is making instant and same-day deliveries scalable and cost-effective by leveraging a differentiated operating model and real-time optimisation technology. RARA makes it possible for anyone, anywhere to get same-day delivery in Indonesia. While others are focusing on - one-to-one- deliveries, the company has developed proprietary, real-time batching tech to do - many-to-many- deliveries within a few hours. RARA is already in partnership with some of the top eCommerce players in Indonesia like Blibli, Sayurbox, Kopi Kenangan, and many more.

We are a distributed team with the company headquartered in Singapore, core operations in Indonesia, and a technology team based out of India.

Future of eCommerce Logistics:

Data-driven logistics company that is bringing in same-day delivery revolution in Indonesia

Revolutionising delivery as an experience

Empowering D2C Sellers with logistics as the core technology

About the Role

• Writing scalable, robust, testable, efficient, and easily maintainable code
• Translating software requirements into stable, working, high performance software
• Playing a key role in architectural and design decisions, building toward an efficient microservices distributed architecture.
• Strong knowledge of Go programming language, paradigms, constructs, and idioms
• Knowledge of language patterns such as - Goroutine and Channels
• Experience with the full site of Go frameworks and tools, including:
• Dependency management tools such as Godep.
• Popular Go web frameworks, such as Echo
• Request routing and API mechanisms
• Ability to write clean and effective Godoc comments
• Familiarity with code versioning tools - primarily Git.
• A basic understanding of computing and Linux systems
• Basic knowledge of Systems Engineering
• Memory management and pointers, specifically in Golang
• Implement Docker for smaller-scale applications that require simpler deployments
• Employ Linux Terminal command structures to allow easy back-end operations for less-expert technical staff
• Structure our user interface with React and ensure REST API access is available for enterprise-grade finance customers on-demand

JD for HR Recruiter

• Partnering with  client to determine staffing needs
• Screening resumes
• Performing in-person and phone interviews with candidates
• Administering appropriate company assessments
• Performing reference and background checks
• Forwarding screened profiles to client  hiring managers
• Coordinating interviews with the clients
• Following up on the interview process status
• Maintaining relationships with both internal and external clients to ensure staffing goals are achieved
• Communicating employer information and benefits during screening process
• Serving as a liaison with area employment agencies, colleges, and industry associations
• Completing timely reports on employment activity
• Payment follow up with client after joining candidate