ETL Support

Freeads is looking for MERN fullstack developer who can handle both front end and backend. If interested to discuss further, please reply.

Key Responsibilities:

 Develop and maintain frontend components using AEM Sites.

 Integrate AEM with React/Angular for enhanced user interfaces.

 Work with AEM templates, components, dialogs, and client libraries.

 Collaborate with backend AEM developers and designers to implement dynamic

and responsive web features.

 Ensure code quality through unit testing and best practices.

 Participate in code reviews, debugging, and performance tuning.

 Support AEM content authors with technical implementation and troubleshooting.

What You’ll Bring:

 Bachelor’s degree in Computer Science, Engineering, or a related field, or

equivalent work experience.

 Proven experience delivering high-quality web applications.

Mandatory Skills:

 3+ years of frontend development experience with React.js or Angular.

 2+ years of experience working with Adobe Experience Manager (AEM).

 Strong knowledge of HTML5, CSS3, JavaScript, and TypeScript.

 Experience with AEM client libraries, Sightly (HTL), Sling models, and

component development.

 Familiarity with RESTful APIs and JSON.

 Understanding of responsive design, cross-browser compatibility, and

accessibility standards.

 Familiarity with Git, CI/CD pipelines, and Agile methodologies.

Preferred Skills (Nice to Have):

 Experience integrating third-party APIs and headless CMS.

 Knowledge of Adobe Target, Analytics, or other Adobe Experience Cloud

products.

 Exposure to backend technologies like Java or Python is a plus.

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

Job Title: Database Administrator (PostgreSQL) 

Experience: 3 to 6 years 

Location: Gurgaon (Hybrid) 

Employment Type: Full-time 

Job Description: 

We are seeking a skilled Database Administrator (DBA) with expertise in PostgreSQL and strong RDBMS concepts. The ideal candidate will be responsible for database performance monitoring, optimization, automation, and interaction with development teams to support business requirements. 

Key Responsibilities: 

1. Database Administration & Management 

• Manage, configure, and maintain PostgreSQL databases ensuring high availability and reliability. 
• Implement Primary-Slave replication architecture and ensure smooth data synchronization. 
• Work with AWS RDS for PostgreSQL database hosting. 
• Automate database backups and manage release versions for database changes. 
• Implement point-in-time recovery (PITR) backups in AWS RDS to ensure data integrity and disaster recovery. 

2. Performance Monitoring & Optimization 

• Regularly monitor database health and performance metrics. 
• Analyze and optimize slow queries to enhance application performance. 
• Fine-tune database performance using configuration parameters, buffers, connections, Disk IOPs, and memory. 

3. SQL Development & Optimization 

• Write, optimize, and maintain stored procedures, SQL functions, and SQL Views. 
• Implement indexing strategies to improve query performance. 

4. Collaboration & Requirement Analysis 

• Work closely with application developers and business analysts to understand new product requirements. 
• Provide recommendations on database design and architecture for scalable solutions. 

5. Database Security & Compliance 

• Implement best practices for database security, access control, and data integrity. 
• Ensure compliance with data governance and security policies. 

6. Automation & Maintenance 

• Automate database maintenance tasks such as backups, indexing, and archiving. 
• Establish monitoring and alerting systems to proactively address database issues. 

Technical Expertise Required: 

• 3 to 6 years of experience as a Database Administrator (DBA). 
• Strong knowledge of PostgreSQL and RDBMS principles. 
• Experience in writing stored procedures, SQL functions, and SQL Views. 
• Hands-on experience in query optimization and performance tuning. 
• Understanding of Primary-Slave architecture and replication setup. 
• Knowledge of database configuration tuning (buffers, connections, Disk IOPs, Memory, etc.). 
• Experience in automating database backups and version control for DB changes. 
• Familiarity with AWS RDS for PostgreSQL and point-in-time backup (PITR). 
• Experience in cloud-based database solutions (AWS RDS, Azure, GCP). 
• Strong problem-solving and analytical skills. 

Preferred Qualifications: 

• Experience in high-availability solutions and disaster recovery strategies. 
• Exposure to NoSQL databases is a plus. 
• Experience with database migrations and upgrades. 

Pega Developer:

Total Yrs of Experience: 6 to 7

PEGA Experience: 6 years

Certification:

Must – CSSA or valid CLSA – part 1

Nice to have - CLSA

Job description:

Must

•            At least 6+ yrs experience in PEGA implementation

•            Hands on experience in OOAD, technical architecture definition

•            Working experience on database SQL programming , J2EE

•            Experience with BPM implementation methodology like SmartBPM, Scrum and onshore-offshore mode.

•            Experience with client facing management role at onsite/offshore

•            Experience with estimation

•            Experience with project planning, scheduling, risks/issues identification,

•            Experience in business development activities like proposal response, solution building, client presentation

•            Strong leadership and people management skill

Nice to Have

•            Knowledge on DSM, mobile Framework

•            Experience with App-server configurations, deployment in complex technical environment

•            PMP/Prince II certification

Platform for creators to build communities and monetise them Social Networks have become more media platforms than “social” platforms. They are not designed to make real human connections. Demand for more intimate online places is higher than ever. Communities are in huge demand! Also, these “Ad-driven” platforms only reward top creators. Most creators are left out - no matter how engaged their audience is. They have to constantly beat algorithms to reach out to their own audience. Over 50 million people around the world consider themselves creators. 97% of them aren’t getting paid. As a result creators are flocking to platforms like Slack, Discord, Whatsapp & Telegram - none of which were built either for community engagement or creator monetisation. Community creators have to go through the pain of managing multiple third party tools to engage and monetise their community. LikeMinds helps creators to convert their audience into a branded private community. They can monetise it by selling digital products like memberships, group chats, events, consultations and courses. As a platform purpose-built for community entrepreneurs, LikeMinds has inbuilt tools for member acquisition, onboarding, retention, moderation, monetisation, and referrals. Our platform enables creators to drive high engagement and belonging via chat rooms, events, polls, member directory, and rewards. These features are in addition to powerful business tools like community website, subscription management, event reminders, analytics dashboard, cohort creation, in-app banners, data export, and much more. Custom integrations are also available for creators with existing assets. In the last few months, we have helped 100+ creators monetise their communities. These include entertainers, fitness & wellness trainers, professional domain experts, language instructors, life coaches, financial experts, micro-entrepreneurship coaches, and exam prep coaches. We are a team of entrepreneurs, techies and community builders with credible backgrounds supported by 2 large VCs

Skills Required -JavaScript, CSS, HTML 5, Angular -Strong knowledge of Angular is a must -Fluent in responsive design and mobile / tablet UI / UX -Web mobile (touch devices: mobiles and tablets) experience is expected -UI Performance: should have hands-on experience of optimizing page load, rendering, caching -Good understanding of AJAX and its UI implications -Understanding of REST Apis -Have worked on high scale growth projects in the past -Prior experience working in a tech startup is a plus

Responsibilities:

• Build scalable, service oriented web applications from scratch for technology products for European market.
• Maintain these applications for accuracy and high availability.
• Continuously identify opportunities to improve system designs, architecture and implementation standards
• Participate with founding, business and product teams in discussions on how to build and launch new modules.
• Collaborate across functions and own the planning, estimation and execution for parts of the product.
• Start as an individual contributor but stay ready to build and mentor a small team of up to 5 engineers over the coming months and years.
• Contribute in hiring highly ambitious engineers as the team grows.
• Being among the first people on the engineering team, be a culture driver.

Requirements:

• Experience of architecting and building products/business critical backend applications using different MVC frameworks.
• Experience with microservices.
• Experience of building and maintaining scalable applications using Node.js/MEAN stack.
• Experience of deploying and maintaining web applications.
• Experience with non relational databases like MongoDB.
• Understanding of relational databases like MySQL.
• Familiarity with REST APIs and stress testing tools.
• Good communication skills.

• Exposure in building polyglot applications.
• Exposure for devops and related processes, preferably GCP.
• Knowledge of components in scalable solutions i. e. database partitions, message brokers, background processing.
• Exposure to basic frontend technologies to speed up collaboration with the frontend team.