11+ Non-profit management Jobs in India

Role Overview

We are seeking an experienced Machine Learning Engineer to design, develop, deploy, and scale machine learning solutions in production environments. The ideal candidate will have strong expertise in model development, MLOps, backend integration, and scalable ML system architecture.

Key Responsibilities

• Design, train, and deploy machine learning and deep learning models for real-world applications.
• Build and scale ML models and pipelines to handle large datasets and high-traffic production workloads.
• Perform data exploration, preprocessing, feature engineering, and dataset optimization.
• Develop and integrate APIs for ML model consumption using frameworks such as FastAPI, Flask, or Django.
• Implement end-to-end ML workflows, including experimentation, versioning, deployment, and monitoring.
• Build scalable data pipelines and processing workflows for batch and real-time use cases.
• Monitor model performance, drift, and system reliability in production.
• Collaborate with data engineers, DevOps, and product teams to productionize ML solutions.

Required Skills & Qualifications

• 5+ years of experience in Machine Learning Engineering or related roles.
• Proven experience in training, developing, deploying, and scaling ML models in production.
• Strong knowledge of data exploration, preprocessing, and feature engineering techniques.
• Proficiency in Python and ML/Data Science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
• Experience with API development and backend integration (FastAPI, Flask, Django).
• Solid understanding of MLOps tools and practices, including MLflow, Kubeflow, Airflow, Prefect, Docker, and Kubernetes.
• Experience building scalable data pipelines, processing workflows, and monitoring deployed models.

Job Summary

We are looking for a Customer Support Executive who will act as a liaison between the company and its customers. The ideal candidate will provide timely, accurate, and professional support, resolve customer queries, and ensure a high level of customer satisfaction.

Key Responsibilities

• Handle customer inquiries via phone, email, chat, or social media
• Resolve product or service issues by understanding customer concerns and providing solutions
• Maintain detailed records of customer interactions and transactions
• Follow up with customers to ensure issue resolution and satisfaction
• Provide accurate information about products, services, and company policies

We are seeking a highly skilled Backend Developer to join our team and contribute to the development and improvement of both our customer-centric SaaS platform and internal systems. As a Backend Developer, you will be responsible for designing, implementing, and maintaining the server-side logic of our application, ensuring high performance, scalability, and security.

As a Backend Developer with expertise in Java, and PostgreSQL, you will play a critical role in developing and maintaining the backend infrastructure of our SaaS and internal platforms, ensuring its reliability, scalability, and performance. Join our team and be a part of building cutting-edge software solutions that empower our customers and drive business growth.

Responsibilities:

• Collaborate with cross-functional teams, including front-end developers, product managers, and designers, to understand project requirements and translate them into technical specifications.
• Design and develop server-side logic, APIs, and database schema to support the functionality and performance requirements of our SaaS platform.
• Write clean, modular, and well-documented code using any relevant programming language preferably Java with SpringBoot.
• Optimize the backend systems for maximum speed and scalability, ensuring high performance and responsiveness of the application.
• Implement data storage solutions using PostgreSQL or other relational databases, ensuring data integrity and security.
• Conduct thorough testing and debugging to identify and resolve any issues or bugs in the backend code.
• Stay up-to-date with emerging technologies, industry trends, and best practices in backend development and contribute to the continuous improvement of our development processes.

Requirements:

• Proven work experience as a Backend Developer or similar role, with a focus on server-side development.
• Proficiency in working with relational databases, particularly PostgreSQL, and writing efficient SQL queries.
• Familiarity with SaaS concepts and architecture.
• Experience with API design and development, including RESTful APIs.
• Solid understanding of software development principles, including object-oriented programming, design patterns, and data structures.
• Experience with version control systems, such as Git.
• Strong problem-solving and analytical skills, with keen attention to detail.
• Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
• Bachelor's degree in Computer Science, Engineering, or a related field is preferred, but not mandatory.

Job Description

We are looking for a Full Stack Developer. You'll be part of a cross-functional team that's responsible for the full software development life cycle, from conception to deployment. As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks, and third-party libraries. You should also be a team player with a knack for visual design and utility.

Responsibilities

Work with development teams and product managers in agile methodology

Design client-side and server-side architecture

Build the front-end of applications through appealing visual design

Develop and manage well-functioning databases and applications

Write effective APIs

Test software to ensure responsiveness and efficiency

Troubleshoot, debug and upgrade software

Create security and data protection settings

Build features and applications with a mobile responsive design

Qualifications Skills

Proven experience as a Full Stack Developer or similar role.

Experience in developing web applications using Node.js, React.js, MySQL, AWS services.

Knowledge of multiple front-end languages and libraries (e. g. HTML/ CSS, JavaScript, XML, jQuery).

Knowledge of multiple JavaScript frameworks (e. g. React, Angular, Node.js ).

Familiarity with databases (e. g. MySQL, Mongo DB), web servers (e. g. Apache), and UI/UX design.

Excellent communication and teamwork skills.

Job Overview:

A Desktop Support Engineer is responsible for providing technical assistance to users, troubleshooting hardware and software issues, and ensuring the smooth operation of computer systems. They install, maintain, and support IT infrastructure, including desktops, laptops, printers, and network devices.

Key Responsibilities:

• Technical Support: Provide first-level support for hardware, software, and network issues.
• Installation & Configuration: Install, configure, and maintain desktops, laptops, operating systems, and applications.
• Troubleshooting: Diagnose and resolve system errors, application failures, and connectivity issues.
• Network Support: Assist with basic networking issues such as internet connectivity, VPN setup, and LAN/Wi-Fi troubleshooting.
• Security & Updates: Ensure system security by updating antivirus software, installing patches, and following IT security protocols.
• User Assistance: Provide guidance and training to end users on IT best practices.
• Peripheral Support: Manage printers, scanners, and other office peripherals.
• Documentation: Maintain records of IT assets, support requests, and resolutions.

Required Skills & Qualifications:

• Education: Diploma/Bachelor’s degree in IT, Computer Science, or a related field.
• Technical Knowledge: Experience with Windows, macOS, Linux, Microsoft Office, and remote desktop tools.
• Networking Basics: Understanding of LAN, WAN, IP addressing, and DNS.
• Problem-Solving: Strong troubleshooting and analytical skills.
• Communication Skills: Ability to interact with non-technical users and explain solutions clearly.
• Certifications (Preferred): A+, N+, MCSA, CCNA, or other relevant IT certifications.

Work Environment:

• On-site or remote support depending on company policies.
• May require flexible hours or on-call support for urgent issues.

We believe in “the power of collaboration”, hence we are on a mission to consolidate the fragmented manufacturing base in the Indian speciality chemicals segment. We are a full-stack supplier of speciality chemicals and intermediates. Reliability, quality and affordability are the three pillars of our core values. Today, we are having a combined manufacturing capacity of ~ 5000 MTPA where over 50 chemicals are getting produced for various end industries i.e., personal care, pharma APIs, polymers, fragrances, agriculture etc. With a presence across diverse speciality chemical value chains and multiple production facilities, we are a one-of-a-kind and highly reliable one-stop-shop supplier to customers across the globe. We have been funded by a global Tier-1 venture capital fund (Lightspeed Venture Partners - $10B+ AUM fund and early investors in Oyo, Byju's, and Udaan) and have several renowned thought leaders and opinion shapers from the chemicals industry as advisors.

Job description: 

1. Lead the Technical and Regulatory documentation for smooth operations. 

2. Responsible for ensuring the accuracy and quality of COA, TDS, MSDS and other related technical documents. 

3. Maintain a real-time database of Products & Suppliers with corresponding technical documents.

4. Mentor and guide the documentation team on writing practices and processes 

5. Bring in strong Chemistry knowledge and support the demand and supply team with suitable inputs on specifications.

Our offering: 

1. A great work environment with massive ownership and growth opportunities 

2. Work closely with the founding and the leadership team on key projects 

3. Opportunity to be on top of industry trends and learn from industry leaders.

4. Compensation: Market standards + ESOPs

Responsibilities:

• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
• Verifying data quality, and/or ensuring it via data cleaning.
• Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
• To design and develop Machine Learning systems and schemes. 
• To perform statistical analysis and fine-tune models using test results.
• To train and retrain ML systems and models as and when necessary. 
• To deploy ML models in production and maintain the cost of cloud infrastructure.
• To develop Machine Learning apps according to client and data scientist requirements.
• To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.

Technical Knowledge:

• Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase. 
• Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
• Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark,  Pandas, Numpy and related libraries.
• Expert in visualising and manipulating complex datasets.
• Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
• Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
• Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
• Big data Technologies such as Hadoop stack and Spark. 
• Basic use of clouds (VM’s example EC2).
• Brownie points for Kubernetes and Task Queues.      
• Strong written and verbal communications.
• Experience working in an Agile environment.