Wordpress Developer

Job Title: HR Trainee

Location: Pune - WFO

Employment Type: Internship

Duration: 6 Months

Key Responsibilities:

• Assist in the end-to-end recruitment process (job posting, screening resumes, scheduling interviews, etc.)
• Support the onboarding process for new hires, including documentation and induction programs
• Maintain and update employee records in HR databases and files
• Assist in drafting HR policies, notices, and internal communication
• Support payroll and attendance management activities
• Coordinate employee engagement activities and events
• Help in compliance-related documentation and audits
• Handle day-to-day HR queries from employees and escalate when necessary

Key Skills & Competencies:

• Strong communication and interpersonal skills
• Basic knowledge of HR functions and labor laws (preferred, not mandatory)
• Proficient in MS Office (Word, Excel, PowerPoint)
• Good organizational and time management skills
• Ability to handle sensitive information with confidentiality

Education & Qualifications:

• Bachelor’s degree in Human Resources, Business Administration, or related field
• Ideal opportunity for freshers to kickstart their HR career.

What We Offer:

• Practical exposure to core HR functions
• Mentorship from experienced HR professionals
• Opportunity to learn and grow into a full-time HR role
• Friendly and supportive work environment

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, MLOps, and Generative AI. The ideal candidate will have hands-on experience in building scalable ML models, deploying them in production, and working with modern AI frameworks, including GenAI technologies.

Key Responsibilities

·      Design, develop, and deploy machine learning models for real-world business problems

·      Work on end-to-end ML lifecycle: data preprocessing, model building, evaluation, deployment, and monitoring

·      Implement and manage MLOps pipelines for scalable and reproducible workflows

·      Utilize tools like MLflow for experiment tracking, model versioning, and lifecycle management

·      Develop and integrate Generative AI (GenAI) solutions such as LLM-based applications

·      Collaborate with cross-functional teams (engineering, product, business) to translate requirements into AI solutions

·      Optimize model performance and ensure production stability

·      Stay updated with the latest advancements in AI/ML and GenAI ecosystems

Required Skills & Qualifications

·      4+ years of experience in Data Science / Machine Learning

·      Strong programming skills in Python

·      Hands-on experience with ML modeling techniques (supervised, unsupervised, NLP, etc.)

·      Solid understanding of MLOps practices and tools

·      Experience with MLflow or similar model lifecycle tools 

·      Practical experience in Generative AI (GenAI), including working with LLMs

·      Experience with libraries/frameworks like Scikit-learn, TensorFlow, PyTorch

·      Strong understanding of data structures, algorithms, and statistics

·      Experience with cloud platforms (AWS/GCP/Azure) is a plus

Good to Have

·      Experience with LLM fine-tuning, prompt engineering, or RAG pipelines

·      Exposure to Docker, Kubernetes, and CI/CD pipelines

·      Knowledge of data engineering workflows 

Job Role : Financial Planning And Analysis

Experience :3 To 6 Years

Work Mode : Hybrid Model

Location : Hyderabad

- Reconciliation of General Ledger Accounts including Cash and Bank accounts and other Sub-ledger Accounts as required.

- Identify, research, analyze & resolve the reconciling items on the accounts reconciled

- Prepare and organize supporting documentation for reconciliations.

- Perform Account-related system tasks such as report generation and data management

- Prepare reconciliation-related journal entries and enter in SAP GL.

- Develop new methods or approaches to facilitate more effective performance of prescribed responsibilities.

- Effectively communicate independently with all the stake holders including US Managers / counterparts.

- Effective team player ensuring the team goals are achieved through collaboration

- Ability to Prioritize & multi task successfully to ensure meeting challenging deadlines of various activities.

Must & Good to have Skills

• Candidates with strong experience in financial analysis, reporting, and finance support related to IT/technology procurement
• The ideal profile should have hands-on expertise in budgeting, stakeholder management, SAP reconciliations, dashboarding, and strategic reporting
• Relevant experience in financial planning, reporting, variance analysis, and working on insurance applications as per regulatory guidelines will be preferred
• Key skills/tools: Financial Reporting, Budgeting, Variance Analysis, P&L Management, Stakeholder Management, Power BI, SAP Ariba, ServiceNow SPM, MS Excel, Celonis, Agile, and Scrum.

We are looking for a hands-on PostgreSQL Lead / Senior DBA (L3) to join our production engineering team. This is not an architect role. The focus is on deep PostgreSQL expertise, real-world production ownership, and mentoring junior DBAs within an existing database ecosystem.

You will work as a senior individual contributor with technical leadership responsibilities, operating in a live, high-availability environment with guidance and support from a senior team.

Key Responsibilities

• Own and manage PostgreSQL databases in production environments
• Perform PostgreSQL installation, upgrades, migrations, and configuration
• Handle L2/L3 production incidents, root cause analysis, and performance bottlenecks
• Execute performance tuning and query optimization
• Manage backup, recovery, replication, HA, and failover strategies
• Support re-architecture and optimization initiatives led by senior stakeholders
• Monitor database health, capacity, and reliability proactively
• Collaborate with application, infra, and DevOps teams
• Mentor and guide L1/L2 DBAs as part of the L3 role
• Demonstrate ownership during night/weekend production issues (comp-offs provided)

Must-Have Skills (Non-Negotiable)

• Very strong PostgreSQL expertise
• Deep understanding of PostgreSQL internals and behavior
• Proven experience with:
• Performance tuning & optimization
• Production troubleshooting (L2/L3)
• Backup & recovery
• Replication & High Availability
• Ability to work independently in critical production scenarios
• PostgreSQL-focused profiles are absolutely acceptable (no requirement to know other DBs)

Good-to-Have (Not Mandatory)

• Exposure to AWS and/or Azure
• Experience with cloud-managed or self-hosted Postgres
• Knowledge of other databases (Oracle, MS SQL, DB2, ClickHouse, Neo4j, etc.) — purely a plus

Note: Strong on-prem PostgreSQL DBAs are welcome. Cloud gaps can be trained post-joining.

Work Model & Availability (Important – Please Read Carefully)

• Work From Office only (Bangalore – Koramangala)
• Regular day shift, but with a 24×7 production ownership mindset
• Availability for night/weekend troubleshooting when required
• No rigid shifts; expectation is responsible lead-level ownership
• Comp-offs provided for off-hours work

What You’ll Do

Key Responsibilities

 Collaborate with vendors to gather requirements for API development and ensure

technical feasibility.

 Collect API documentation from vendors; document and explain business logic to

use external data sources effectively.

 Access vendor applications to create and validate sample data; ensure the accuracy

and relevance of test datasets.

 Translate complex business logic into documentation for developers, ensuring

clarity for successful integration.

 Monitor all integration activities and support tickets in Jira, proactively resolving

critical issues.

 Lead QA testing for integrations, overseeing pilot onboarding and ensuring solution

viability before broader rollout.

 Document onboarding processes and best practices to streamline future

integrations and improve efficiency.

 Build, train, and deploy machine learning models for forecasting, pricing, and

optimization, supporting strategic goals.

 Drive end-to-end execution of data integration projects, including scoping, planning,

delivery, and stakeholder communication.

 Gather and translate business requirements into actionable technical specifications,

liaising with business and technical teams.

 Oversee maintenance and enhancement of existing integrations, performing RCA

and resolving integration-related issues.

 Document workflows, processes, and best practices for current and future

integration projects.

 Continuously monitor system performance and scalability, recommending

improvements to increase efficiency.

 Coordinate closely with Operations for onboarding and support, ensuring seamless

handover and issue resolution.

Desired Skills & Qualifications

 Strong experience in API integration, data analysis, and documentation.

 Familiarity with Jira for ticket management and project workflow.

 Hands-on experience with machine learning model development and deployment.

 Excellent communication skills for requirement gathering and stakeholder

engagement.

 Experience with QA test processes and pilot rollouts.

 Proficiency in project management, data workflow documentation, and system

monitoring.

 Ability to manage multiple integrations simultaneously and work cross-functionally.

Required Qualifications

 Experience: Minimum 4 years in hotel technology or business analytics, preferably

handling data integration or system interoperability projects.

 Technical Skills:

 Basic proficiency in SQL or database querying.

 Familiarity with data integration concepts such as APIs or ETL workflows

(preferred but not mandatory).

 Eagerness to learn and adapt to new tools, platforms, and technologies.

 Hotel Technology Expertise: Understanding of systems such as PMS, CRS, Channel

Managers, or RMS.

 Project Management: Strong organizational and multitasking abilities.

 Problem Solving: Analytical thinker capable of troubleshooting and driving resolution.

 Communication: Excellent written and verbal skills to bridge technical and non-

technical discussions.

 Attention to Detail: Methodical approach to documentation, testing, and deployment.

Preferred Qualification

 Exposure to debugging tools and troubleshooting methodologies.

 Familiarity with cloud environments (AWS).

 Understanding of data security and privacy considerations in the hospitality industry.

Technical Trainer at the Pollachi location.

Trainer - Pollachi.

Willing to travel around a 30km radius from Pollachi.

Job Description: Technical Trainer

Expertise: HTML, CSS, JavaScript, Python, Artificial Intelligence (AI), and Machine Learning (ML), IoT, and Robotics (Optional).

Work Location: Flexible (Work from Home & Office available)

Target Audience: School students and teachers

Employment Type: Full-time, IoT and Robotics (Optional). 

Key Responsibilities:

* Develop and deliver content in an easy-to-understand format suitable for varying audience levels. 

* Prepare training materials, exercises, and assessments to evaluate participant progress and measure their learning outcomes. Adapt teaching methods to suit both in-person (office) and virtual (work-from-home) formats.

* Stay updated with the latest trends and tools in technology to ensure high-quality training delivery.

R360 powers a data-driven customer engagement ecosystem that enables the world’s leading organisations to earn customer loyalty every day.

For over 10 years, R360’s loyalty and reward platforms have driven ambitious loyalty programs for some of the world’s biggest brands – including Axis Bank, Standard Chartered Bank, HDFC Bank and Emirates National Dubai Bank. We have 500+ global retail partnerships and offer our clients reward programs, nuanced customer segmentation, data-centric campaigns, and big data analytics.

Our multidisciplinary team of technology experts, product engineers, data scientists, client relationship managers and customer experience professionals work together with our clients to enable loyalty by enhancing customer acquisition, engagement and retention.

Currently we are looking for a “Full Stack Developer” with an expertise in Java software development and proficient in React to join the software engineering team for our BFSI clients. The candidate will develop new application features and maintain existing ones. This position requires experience in making decisions and working both independently and as part of a small, dynamic team where everything the candidate does makes a difference.

What you’ll do:

·        Work as full stack developer with prime focus on backend

·        Responsible for handling and overseeing the End-to-end development from designing to development.

·        Produce reusable, testable, and efficient code

·        Troubleshoot critical issues and guide team as well.

·        Support & Nurture other developers providing advice, coaching along with Design and code review of Peers

·        Integrate data storage solutions and ensure application performance, quality, and responsiveness

·        Collaborate with a team to define, design, and ship new features

·        Identify and correct bottlenecks as well as fix bugs

·        Exhibit excellent communications skills and engage in technical discussions with peers becoming a trusted, technical advisor.

What we’ll need:

Mandatory skills:

·        Strong communication and Articulative skills.

·        University degree or equivalent educational experience (optimally a technical or engineering degree)

·        6+ years of software development experience in Java/J2EE using RESTful web services, Microservices and Spring boot

·        3+yrs of hands on experience in Angular/React technologies

·        Strong Data structures & algorithm skills along with Design skills

·        Ability to manage multiple priorities and projects simultaneously 

·        Understanding of Agile methodologies

·        Willingness to take ownership and find ways to unblock oneself.

·        Trustworthy, team oriented and transparent 

Technical Skills:

·        Core Java (Collection, multi-threading, design patterns)

·        Frameworks - Hibernate, Spring, REST Jersey

·        Front end technologies – Java Script, jQuery, Angular, Reactjs

·        Database – SQL & NoSQL

·        Modelling – UML & ERD

For our Cloud and Digital team, we seek Hands-On Technical Lead who can work on designing & implementing high quality scalable cloud software while providing technical leadership/mentoring to a small team of talented developers in agile environment. Your ability to lead the architecture, design, and implementation of maintainable, high-quality, and high-performing web (Java microservices, React UI, AWS) and mobile applications (iOS, Android, React native) is essential for success in this role. 

What you will be doing:

1. Strong programming knowledge in a combination of Java/Spring boot and Ruby on Rails. Expert in working in AWS Cloud, Micro services, REST, MongoDb / RDBMS/Cassandra, React /Node/Java Script, web frameworks/web technologies, Docker, Kubernetes, Messaging Brokers (Kafka, Kinesis, RabbitMq), Redis
2. Shaping architecture for robust, reliable, and high-performance applications, considering functional and technical requirements.
3. Manage/Mentor team of talented developers. Collaborate with cross functional stakeholders.
4. Estimate/Plan/Manage project deliverables in Agile environment with incremental system delivery.
5. Knowledge of data analytics and machine learning is a plus.
6. Good knowledge in version control and branching concepts (git, mercurial)

Who you are and what you bring:

1. B.E/B.Tech in Computer Science / Electronics and Electrical. Strong academics and career track record.
2. 15+ years of solid software development experience in building secure, scalable, and resilient systems.
3. Proven experience as software technical lead/manager/architect with cloud and digital SW
4. Excellent knowledge of software implementation, design and architecture of Web and Mobile apps.
5. Proven experience in working with AWS (preferably) or GCP or Azure.
6. Strong understanding of monitoring and logging tools.
7. Strong understanding of software design principles (SOLID, design patterns etc.)
8. Strong understanding of SOA and enterprise integration patterns.
9. Strong understanding of Functional or OOP patterns.
10. Experience in Web and Mobile software development and coding in various languages (Ruby on Rails, Node.js, Java, React, iOS, Android, Python etc.). Familiarity with HTML/CSS, JavaScript and UI/UX design.

Job Responsibilities:

• Contact potential or existing customers to inform them about the Housing Project
  (Contact Numbers will be provided by the company)
• Answer queries about the project and the company
• Find out customer requirements
• Persuade prospects for a site visit
• Enter and update customer information in the database

Requirements:

• Good knowledge of word, excel, and PowerPoint
• Excellent communication skills
• Convincing ability
  
  

About LodgIQ

LodgIQ is led by a team of experienced hospitality technology experts, data scientists and product domain experts. Seed funded by Highgate Ventures, a venture capital platform focused on early stage technology investments in the hospitality industry and Trilantic Capital Partners, a global private equity firm, LodgIQ has made a significant investment in advanced machine learning platforms and data science.

Title : Data Scientist

• Apply Data Science and Machine Learning to a REAL-LIFE  problem  - “Predict Guest Arrivals and Determine Best Prices for Hotels”
• Apply advanced analytics in a BIG Data Environment – AWS, MongoDB, SKLearn
• Help scale up the product in a global offering across 100+  global markets

• Minimum 3 years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and optimization.    Student projects are acceptable.
• At least 1 year of experience with Python / Numpy / Pandas / Scipy/ MatPlotLib / Scikit-Learn
•   Experience in working with massive data sets, including structured and unstructured with at least 1 prior engagement involving data gathering, data cleaning, data mining, and data visualization
•   Solid grasp over  optimization techniques
•   Master's  or PhD degree in Business Analytics.  Data science, Statistics or Mathematics
•   Ability to show a track record of solving large, complex problems