Human Resources (HR) Executive

📌 **Job Description:**

**Position:** Hospital Liaison & Partnership Coordinator

**Type:** Commission-Based / Consultant Role

**Location:** Metro Cities (Delhi, Mumbai, Bengaluru, Hyderabad, Chennai – Remote + Field Visits)

**Company:** Cureeya – A Healthcare Services Platform

🏢 **About Cureeya:**

Cureeya is a trusted platform committed to simplifying healthcare access by collaborating with doctors, clinics, diagnostic centers, and hospitals. We enable patients to access quality care faster, and more efficiently through digital and physical channels.

 🔍 **Role Overview:**

We are hiring experienced **hospital liaisons or healthcare partnership coordinators** who have existing professional networks across **tier-1 or multispecialty hospitals, clinics, and medical practitioners**. This is a **commission-based opportunity** to introduce Cureeya’s healthcare services to providers in your network.

 🎯 **Key Responsibilities:**

* Build and maintain partnerships with **doctors, clinics, and hospital administrators**

* Introduce Cureeya’s service offerings and coordinate onboarding of medical providers

* Act as a relationship manager between Cureeya and healthcare facilities

* Schedule and facilitate meetings, demos, and follow-ups with decision-makers

* Provide field-level insights to help shape engagement strategy

✅ **Requirements:**

* Prior experience as a **hospital liaison, PRO, business development executive**, or medical coordinator

* Strong existing network with **doctors, hospitals, or specialty clinics**

* Excellent communication and interpersonal skills

* Understanding of healthcare service models (OPD/IPD, diagnostics, health tech, etc.)

* Self-motivated, professional, and results-oriented

 💼 **Compensation & Benefits:**

* **Attractive commissions per successful partnership or referral**

* Flexible engagement model (freelance, part-time, consulting)

* Recognition and long-term opportunity within Cureeya’s growing partner ecosystem

 📩 **How to Apply:**

Send your resume

Content Writing Intern (Remote) — The Grey Post

🕐 Duration: 3 months | 💵 Stipend: Unpaid | 🌎 Location: Remote (USA Preferred)

About The Grey Post

TheGreyPost.com is a rising independent media platform covering U.S. news, global affairs, offbeat stories, lifestyle, culture, and deeply researched long-reads with a fresh voice. We are on a mission to publish content that matters — beyond the noise, beyond the ordinary.

Now, we’re inviting curious minds and sharp writers to join us on an exciting journey — as interns who want to be noticed.

🔍 What You’ll Do

• Research and write high-quality blog posts, opinion pieces, or news explainers (600–1500+ words).
• Contribute to content categories like Trending US News, States of Mind, The Feed, Deep Grey, and more.
• Use simple, clear, and engaging language — just like you're explaining something to a smart 8th grader.
• Learn basic SEO writing, headline optimization, and viral angles.
• Collaborate via Notion, Docs, Slack/Email — fully remote and async-friendly.

🧠 What You’ll Gain

• Real bylines on a fast-growing publication — boost your resume and portfolio!
• Mentorship on writing for the web, EEAT, and journalism standards.
• Letter of Recommendation & Certificate upon successful completion.
• Possibility of paid freelance work or contributor status after internship.
• Priority consideration for future editorial roles and features.

✅ You’re a Great Fit If…

• You’re based in the USA or have excellent knowledge of U.S. culture/news.
• You enjoy explaining complex things simply.
• You’re comfortable working independently and meeting deadlines.
• You're studying journalism, English, media, or simply love writing.

🎯 Bonus If You…

• Have experience with WordPress or Google Docs.
• Have written on Medium, Substack, your blog, or college magazine.
• Love writing about society, tech, politics, strange laws, or offbeat stories.

📩 How to Apply

Send us:

• A short bio (2-3 lines)
• 1 writing sample (or link to blog/Medium/portfolio)
• 2 content ideas you’d love to write for The Grey Post

👉 Email: thegreypost.com

Subject: “Content Writing Intern — [Your Name]”

Note: This is a volunteer-based, learning-focused internship. We value creative freedom, flexible hours, and personal growth over formal titles. Perfect for students and passionate writers who want to make their words matter.

Company Name-Rawmart Material Solutions Pvt. Ltd

Location- ICC Trade Tower, S B Road, Pune, Maharashtra-411016

Position-Human Resource Intern

Work Nature- On-site

Work Experience- 0-6 Months

Company Description:-

Welcome to Rawmart, the end-to-end solution provider and enabler for manufacturers and SMEs. Our mission is to develop ecosystems across various product verticals and support SMEs across the country. By participating in the entire manufacturing cycle, Rawmart offers smart and cost-effective raw material procurement, seamless supply chain experiences, manufacturing technology infusion, quality controls, and process efficiencies. Our core principles are to involve, solve, and evolve.

Role Description:-

This is a full-time on-site role for a Human Resources Intern at Rawmart in Pune. The Human Resources Intern will be responsible for assisting with HR management, developing HR policies, managing employee benefits, and overseeing personnel management tasks on a day-to-day basis.

Qualifications

• Human Resources (HR) and HR Management skills
• Personnel Management expertise
• Strong interpersonal and communication skills
• Ability to work collaboratively in a team setting
• Knowledge of Human Resource.
• Bachelor's degree in Human Resources or related field.

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

• Should have excellent knowledge of Swift and Objective C
• Good working knowledge in Cocoa Touch
• Experience with performance and memory tuning with tools
• Experience with memory management & caching mechanisms specific to mobile devices
• Experience with third-party libraries and APIs
• Experience working with Core Data, Realm
• Understanding of the full mobile development life cycle
• Experience in publishing apps to the App Store.
• Code version tool – Git, Bitbucket
• Design Pattern - MVC and MVVM, MVP

Job Title: Sr. Reliability Engineer/ Engineering Manager

Location: Powai (Mumbai)/ Bangaluru/ Delhi NCR

•  System maintenance and administration of Applications and Software
•  Integration with different systems and apps
• Must have knowledge on Microservices
• Should be proficient in scripting language Python, Good to have knowledge on Java
• Excellent over Root Cause Analysis
• Should be a technical as well as process-oriented candidate
• Excellent Debugging and Monitoring skills
• Responsible for daily trouble ticket resolution, client interaction and customer support via email and video calls
• Responsible for the setup for the Continuous Integration build and deployment for DEV and UAT environments
• Responsible for operational support and problem resolution for application users and internal operations team
• Identifying, tracking, managing and resolving project issues effectively and efficiently
• Supporting projects during the normalization phase after Go-Live and ensuring the smooth transitions to operations
• Review and implement the processes related to IT Support and Operations before handing over to Support Services
• Strong ability to work independently on complex issues
• Collaborate efficiently with internal experts to resolve customer issues quickly
• Both Proactive & reactive in work approach
• Should be willing to work in 24/7 work environment

Ideal candidate has:

• 6-10  years 
• Product Background 

We are looking for a UI Developer to join our team! Headquartered in New York, LodgIQ delivers a revolutionary SaaS platform for Algorithmic Pricing and Revenue Management for the hospitality industry by incorporating machine learning and artificial intelligence. For more information, visit http://www.lodgiq.com">http://www.lodgiq.com 

Backed by Highgate Ventures and Trilantic Capital Partners, LodgIQ is a well-funded company, seeking for a motivated and entrepreneurial UI Developer to join its Product/ Engineering team in India. Qualified A+ candidates will be offered an excellent compensation and benefit package.

Requirements:

• In-depth knowledge of HTML/Javascript/React.JS
• Strong flair for UI and UX
• Understanding of Web Application architectures e.g. Django/Flask 
• Familiarity with Cloud Environments  (AWS, EC2, S3, IAM) 
• Working knowledge of NoSQL databases such as MongoDB 
• Proficiency in consuming and developing REST APIs with JSON data 

Specific Job Knowledge, Skills & Abilities:

• Real world experience with large-scale data on AWS or similar platform
• Must be a self-starter and an effective data wrangler
• Intellectual curiosity and strong desire to learn new Big Data and Machine Learning technologies 
• Deadline driven, and capable of delivering projects on time under a fast paced, high growth environment 
• Willingness to work with unstructured and messy data
• Bachelor’s degree or Masters degree in relevant quantitative fields.