10 Opening(s)
0 To 5.0 Year(s)
Not Disclosed by Recruiter
About the Program
POST A RESUME is inviting applications for its Social Media Marketing Fellowship Program, designed for individuals who want practical exposure to content creation, branding, audience engagement, and digital marketing.
Fellows will work on real social media projects and contribute to the growth of the POST A RESUME brand across ...
1 Opening(s)
12.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
"Deep understanding of cloud platforms (AWS, Azure, GCP) and hybrid cloud setups Hands-on experience with architecture modeling tools and frameworks (TOGAF, Zachman, UML) Proficiency with enterprise integration patterns, RESTful APIs, API gateways, and service mesh Knowledge of data architecture, security architecture, and DevSecOps principles Familiarity with India Stack components and ...
5 Opening(s)
5.0 Year(s) To 8.0 Year(s)
15.00 LPA TO 25.00 LPA
Job Title: Credit Risk Analyst
Role Overview: The Credit Risk Analyst is responsible for assessing, monitoring, and managing credit risk across individual clients, products, and the overall loan portfolio. The role involves using data analytics, financial modeling, and risk management techniques to ensure prudent lending decisions, minimize losses, and maintain compliance ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
3.00 LPA TO 5.00 LPA
Job Description:
We are hiring an experienced Web Developer to join our Ahmedabad office team. This role offers work-from-home flexibility with working hours aligned to UK timings. The candidate must have experience in Amazon International listings, with UK marketplace experience considered an added advantage.
Key Responsibilities:
Design, develop, and maintain responsive websites and ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
3.00 LPA TO 5.00 LPA
Job Title: Video Maker & Video Editor
Location: Ahmedabad (Work from Home with Flexible UK Timings)
Job Description: We are seeking a creative and detail-oriented Video Maker & Video Editor to join our Ahmedabad office team. The role offers work-from-home flexibility with working hours aligned to UK timings. The candidate should have ...
2 Opening(s)
5.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
Business Analyst
Proven experience in government consulting, large-scale IT project documentation, and business process analysis
Proficiency in tools like MS Visio, Draw.io, JIRA, Confluence, Excel, PowerPoint
Knowledge of SDLC, Agile, and Waterfall methodologies
Familiarity with India Stack components and digital public infrastructure is an advantage
Understanding of data privacy, security policies, and accessibility guidelines 5 ...
2 Opening(s)
2.0 Year(s) To 3.0 Year(s)
0.00 LPA TO 0.00 LPA
Key Responsibilities
Model Development & Training
○ Design, train, and fine-tune deep learning and machine learning models (transformers, CNNs, RNNs, gradient boosting, etc.).
○ Implement data preprocessing pipelines, feature extraction, and
augmentation techniques.
○ Conduct hyperparameter optimization and experiment management. ● Evaluation & Optimization
○ Run model evaluations, benchmark against baselines, and perform ablation studies.
○ ...
7 Opening(s)
8.0 Year(s) To 10.0 Year(s)
18.00 LPA TO 24.00 LPA
Job Description
The Platform Core Development team provides the foundational software stack for Personal Cloud, our flagship white-label cloud content platform. This system supports backup, sync, and content sharing for millions of global mobile operator subscribers. The team architected and continues to evolve our platform to efficiently manage petabytes of data, ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
12.00 LPA TO 16.00 LPA
Job Description
We are looking for a Full-stack developer to develop full-stack web applications using JavaScript technologies.
Required Experience: 3-5 Years
Job title: Senior Full Stack Developer
Required Qualification: BE/BTech (IT/CS/Electronics), ME/MTech (IT/CS), or equivalent technical degree
Job Location: Pune/Ahmedabad
Key Skills and Requirements:
Strong analytical and problem-solving skills with the ability to architect scalable solutions
Proven experience in full-stack JavaScript development ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
18.00 LPA TO 24.00 LPA
About the Role :
We are looking for a hands-on Full Stack Data Scientist who can independently manage the
entire machine learning lifecycle—from data wrangling to deployment—without relying on a
dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self-
directed environment and is passionate about building real-world ML solutions that drive
business outcomes.
Key Responsibilities :
∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model
development, deployment, and monitoring.
∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,
TensorFlow, or PyTorch.
∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).
∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.
∙Collaborate with BI analysts and business stakeholders to translate requirements into
production-ready solutions.
∙Maintain and improve existing models and pipelines with minimal supervision.
Required Skills :
∙3+ years of experience in applied data science or ML engineering.
∙Strong Python programming skills, including experience with data manipulation and ML libraries.
∙Experience with Databricks and cloud-based ML deployment (Azure preferred).
∙Ability to work independently across the full stack of ML development and deployment.
∙Familiarity with version control (Git), CI/CD, and MLOps best practices.
∙Excellent communication skills and ability to work with remote teams across time zones.
Nice to Have
∙Experience with data pipeline development using PySpark or Delta Lake.
∙Exposure to Docker, REST APIs, or real-time inference.
∙Prior experience working in a manufacturing or industrial analytics environment.
Interview Process:
Shortlisted candidates will be required to complete:
∙An online technical skills assessment focused on Python and applied machine learning.
∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world
problem-solving and deployment capabilities.
Hours: 2:30 PM – 11:30 PM IST (working from Office)
Reports to: Manager, Data Analytics California, USA