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Urgent Opening for Corporate Gifting Executive Profile
Location: Navi Mumbai
Job Description:
- Coordinating between clients & warehouses/respective teams to ensure smooth delivery of customised gifting orders - personal or corporate.
- Plan for and manage inventory across all channels - e-commerce, retail & third party portals.
- Work on gifting catalogue, client leads and end to end customer servicing
- Showcases leadership qualities, is focused, self motivated & punctual.
- Displays ownership and fulfils projects within timelines
- Locate new vendors and have innovative ideas for gifting
- Work in tandem with all teams within the organisation to ensure smooth functioning of the requirements
- Work on multiple projects at once and is able to meet set deadlines.
- Willing to travel to store locations within and even outside the city if required to set up gifting items at retail stores and participate in visual merchandising.

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Experience: 3+ years of experience in designing and developing AI solutions.
Qualification: Bachelor s degree in Computer Science, Data Science, or a related field (e.g., Mathematics, Engineering)
Location: Should be based out of Surat or ready to relocate to Surat
Position Overview
We are seeking a highly skilled and experienced Senior AI/ML Developer to lead the development and integration of advanced AI solutions within our product ecosystem. This role involves close collaboration with cross-functional teams including product managers, data scientists, and engineers to build AI models that solve real-world integration challenges. The ideal candidate will have a strong foundation in machine learning, deep learning, and software development, along with hands-on experience deploying AI models in production environments.
What You’ll Be Doing
ü Collaborating with product managers, engineers and data scientists to align AI solutions with product functionalities.
ü Designing and developing AI models for challenges like document data extraction, data transformation, pattern recognition and data mapping
ü Applying machine learning algorithms and deep learning architectures and transformer models to build scalable AI models.
ü Working with data engineers to prepare, clean, and transform data for AI applications.
ü Training, evaluating, optimizing and fine-tuning AI models to ensure high performance and accuracy.
ü Monitoring deployed AI functionalities, troubleshooting issues, and driving continuous improvement.
ü Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs.
ü Keeping abreast of the latest AI research, trends, and innovations relevant to integration technologies.
What You Bring to the Table
ü Bachelor’s degree in computer science, Data Science, Mathematics, Engineering, or a related field.
ü 3+ years of experience in designing and implementing AI/ML solutions.
ü Demonstrated ability to integrate AI models into production software.
ü Excellent analytical thinking, communication, and problem-solving abilities.
ü Ability to work autonomously as well as in a collaborative team setup.
Skills Required
ü Dataset Development: Strong track record of building datasets for training and/or evaluating machine learning models.
ü LLM and NLP Experience: Hands-o
ü n experience working with LLMs, RAG architecture, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems.
ü Experience with LLM fine-tuning, prompt engineering, vector databases (e.g., Pinecone, FAISS) is highly desirable.
ü Test Harness Automation for LLM Agents
ü Familiarity with agent frameworks (e.g., Semantic Kernel, AutoGen, Lang Chain, etc.).
ü Proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, etc. containerization (Docker), and API frameworks (Flask, Fast API).
ü Integration Knowledge: API development, data transformation, system integration
ü Soft Skills: Communication, teamwork, adaptability, critical thinking
Job Description for PostgreSQL Lead
Job Title: PostgreSQL Lead
Company: Mydbops
About us:
As a seasoned industry leader for 8 years in open-source database management, we specialise in providing unparalleled solutions and services for MySQL, MariaDB, MongoDB, PostgreSQL, TiDB, Cassandra, and more. At Mydbops, we are committed to providing exceptional service and building lasting relationships with our customers. Our Customer Account Management team is vital in ensuring client satisfaction and loyalty.
Role Overview
As the PostgreSQL Lead, you will own the design, implementation, and operational excellence of PostgreSQL environments. You’ll lead technical decision-making, mentor the team, interface with customers, and drive key initiatives covering performance tuning, HA architectures, migrations, and cloud deployments.
Key Responsibilities
- Lead PostgreSQL production environments: architecture, stability, performance, and scalability
- Oversee complex troubleshooting, query optimization, and performance analysis
- Architect and maintain HA/DR systems (e.g., Streaming Replication, Patroni, repmgr)
- Define backup, recovery, replication, and failover protocols
- Guide DB migrations, patches, and upgrades across environments
- Collaborate with DevOps and cloud teams for infrastructure automation
- Use monitoring (pg_stat_statements, PMM, Nagios or any monitoring stack) to proactively resolve issues
- Provide technical mentorship—conduct peer reviews, upskill, and onboard junior DBAs
- Lead customer interactions: understand requirements, design solutions, and present proposals
- Drive process improvements and establish database best practices
Requirements
- Experience: 4-5 years in PostgreSQL administration, with at least 2+ years in a leadership role
- Performance Optimization: Expert in query tuning, indexing strategies, partitioning, and execution plan analysis.
- Extension Management: Proficient with critical PostgreSQL extensions including:
- pg_stat_statements – query performance tracking
- pg_partman – partition maintenance
- pg_repack – online table reorganization
- uuid-ossp – UUID generation
- pg_cron – native job scheduling
- auto_explain – capturing costly queries
- Backup & Recovery: Deep experience with pgBackRest, Barman, and implementing Point-in-Time Recovery (PITR).
- High Availability & Clustering: Proven expertise in configuring and managing HA environments using Patroni, repmgr, and streaming replication.
- Cloud Platforms: Strong operational knowledge of AWS RDS and Aurora PostgreSQL, including parameter tuning, snapshot management, and performance insights.
- Scripting & Automation: Skilled in Linux system administration, with advanced scripting capabilities in Bash and Python.
- Monitoring & Observability: Familiar with pg_stat_statements, PMM, Nagios, and building custom dashboards using Grafana and Prometheus.
- Leadership & Collaboration: Strong problem-solving skills, effective communication with stakeholders, and experience leading database reliability and automation initiatives.
Preferred Qualifications
- Bachelor’s/Master’s degree in CS, Engineering, or equivalent
- PostgreSQL certifications (e.g., EDB, AWS)
- Consulting/service delivery experience in managed services or support roles
- Experience in large-scale migrations and modernization projects
- Exposure to multi-cloud environments and DBaaS platforms
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work with a dynamic and innovative team.
- Professional growth and development opportunities.
- Collaborative and inclusive work environment.
Job Details:
- Work time: General shift
- Working days: 5 Days
- Mode of Employment - Work From Home
- Experience - 4-5 years
- Architect and Develop: Design, implement, and maintain high-performance backend services using Java/Golang and intuitive frontend interfaces using React.
- Technical Leadership: Provide technical guidance and mentorship to junior developers, promoting best practices and fostering a collaborative environment.
- Code Quality: Write clean, efficient, and well-documented code following industry best practices and coding standards.
- Collaboration: Work with backend developers, frontend developers, product managers, and other stakeholders to gather requirements and deliver robust solutions.
- Performance Optimization: Identify and address performance bottlenecks and scalability issues.
- Debugging and Troubleshooting: Diagnose and resolve complex issues in both backend and frontend components.
- Testing: Implement comprehensive testing strategies, including unit tests, integration tests, and end-to-end tests.
- Continuous Learning: Stay current with the latest industry trends, technologies, and best practices in full stack development.
Job Title: Hr recruiter
Company: Palis Decor
Location: Bommasandra Industrial Area, Bangalore
Experience: 1-2years’
Salary: Up to 18k per month
Gender: Female
Job Description:
Palis Decor is seeking a dedicated and detail-oriented Hr-Recruiter to join our team at Bommasandra Industrial Area.
Why Join Palis Decor?
- Work in a dynamic environment with a supportive team.
- Opportunities for growth and skill enhancement.
- Competitive salary and work-life balance.
Selected intern's day-to-day responsibilities include:
- Following up with leads generated to close online sales
- Explain product features to the generated leads to close sales
Stipend structure: This is a performance-based internship. In addition to the minimum-assured stipend, you will also be paid a performance-linked incentive (₹ 200 per sale).
Minimum Qualifications:
- MS or BS in Computer Science or a related subject.
- At least five (5+) years of web application testing and automation experience.
- Taking complete ownership of product testing efforts.
- Proficiency in Java/ Python or any other Object-Oriented Language.
- Experience of Selenium & WebServices or REST API testing or backend testing
- Ability to design and develop test automation frameworks from scratch
- Experience in CI/ CD setup preferably with Jenkin
- Good analytical and problem-solving skills
- Expert in methodically developing use-cases-
- Expert at writing automation test cases using Selenium.
- Expert at testing the web application for both functionality and performance.
- Understands what world-class quality for SAAS Products
- Expert at communicating the QA results with the engineering teams
- Expert at increasing visibility for blocker/critical issues.










