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Are you a motivated individual eager to launch your career in generative AI and learn advanced technologies? Are you a hands-on learner with an interest in large language models and emerging AI technologies? Do you possess the ability to collaborate effectively within a team environment to implement and learn technical solutions?
At Aivar, we're looking for entry-level architects and engineers to learn generative AI techniques and contribute to building innovative solutions under the guidance of experienced professionals.
As an Generative AI/ML Engineer, you'll learn from technology and business teams while developing solutions. You will gain hands-on experience in a fast-paced environment that contributes to innovative AI projects.
Key job responsibilities:
● Learn to implement large language model solutions using Amazon Web Services (AWS)
● Learn Generative AI frameworks (LangChain, LangSmith, HuggingFace)
● Support prompt engineering implementation
● Assist in fine-tuning pipelines for specific use cases
● Learn to build basic generative AI solutions for text and images
● Help implement RAG architectures
● Support MLOps/LLMOps practices
● Document implementations and learnings
● Assist in testing generative AI solutions
Data Strategy and Planning:
Collaborate with stakeholders to develop and implement data management strategies aligned with business objectives.
Define data standards, policies, and procedures to ensure consistent and accurate data collection and storage.
Data Collection and Integration:
Identify and assess various data sources, both internal and external, to gather relevant and reliable data.
Design and implement data collection methods and processes to ensure data is captured efficiently.
Oversee data integration initiatives to consolidate data from different sources into a unified database.
Data Quality Assurance:
Develop and enforce data quality standards to ensure the accuracy, completeness, and consistency of data.
Implement data validation processes and routines to identify and rectify data discrepancies or errors.
Database Management:
Maintain and optimize data storage systems, including databases, data warehouses, and data lakes.
Ensure data security and compliance with relevant data protection regulations.
Data Analysis and Reporting:
Collaborate with analysts to provide clean and structured data for analysis.
Assist in creating data visualizations and reports to communicate insights and findings to stakeholders.
Team Collaboration:
Work closely with IT teams, data scientists, analysts, and other stakeholders to define data requirements and resolve technical issues.
Provide guidance and training to team members regarding data management best practices.
Pay: ₹70,000.00 - ₹90,000.00 per month
Job description:
Name of the College: KGiSL Institute of Technology
College Profile: The main objective of KGiSL Institute of Technology is to provide industry embedded education and to mold the students for leadership in industry, government, and educational institutions; to advance the knowledge base of the engineering professions; and to influence the future directions of engineering education and practice. The ability to connect to the future challenges and deliver industry-ready human resources is a credibility that KGISL Educational Institutions have progressively excelled at. Industry -readiness of its students is what will eventually elevate an institution to star status and its competitiveness in the job market. Choice of such an institution will depend on its proximity to industry, the relevance of its learning programme to real-time industry and the active connect that a student will have with industry professionals.
Job Title: Assistant Professor / Associate Professor
Departments:
● CSE
Qualification:
● ME/M.Tech/Ph.D(Ph.D must for Associate Professor)
Experience:
● Freshers can Apply● Experience - 8-10 Years
Key Responsibilities:
1. Teaching & Learning:
Deliver high-quality lectures and laboratory sessions in core and advanced areas of Computer Science & Engineering.
Prepare lesson plans, teaching materials, and assessment tools as per the approved curriculum.
Adopt innovative teaching methodologies, including ICT-enabled learning and outcome-based education (OBE).
2. Research & Publications:
Conduct independent and collaborative research in areas of specialization.
Publish research papers in peer-reviewed journals and present in reputed conferences.
Eligibility & Qualifications (As per AICTE/UGC Norms):
Educational Qualification: Ph.D. in Computer Science & Engineering or relevant discipline.
Experience: Minimum of 8 years teaching/research/industry experience, with at least 3 years at the level of Assistant Professor.
Research: Minimum of 7 publications in refereed journals as per UGC-CARE list and at least one Ph.D. degree awarded or ongoing under supervision.
Other Requirements:
Good academic record throughout.
Proven ability to attract research funding.
Strong communication and interpersonal skills.
Work Location: [ KGiSL Campus]
Employment Type: Full-time / Permanent
Joining time: immediately
Job Type: Full-time
Benefits:
- Health insurance
- Life insurance
- Provident Fund
Work Location: In person
Job description:
We are looking for an experienced professional to lead our lead generation and PPC strategy. The role focuses on driving high-quality leads, managing ad campaigns, and ensuring strong ROI. The ideal candidate will have leadership skills, hands-on PPC expertise, and a proven record of improving lead conversions.
Responsibilities
Create and manage lead generation strategy to meet business targets.
Plan and run PPC campaigns on Google Ads, LinkedIn, Meta, and Display networks.
Optimize ad budgets to lower cost per lead (CPL) and improve ROI.
Guide and mentor a team of lead generation and PPC executives.
Work with sales teams to improve lead-to-customer conversion.
Track and report KPIs like leads, CPL, CTR, CAC, and ROI.
Skills Needed
8–12 years of experience in lead generation and PPC.
Strong knowledge of Google Ads, LinkedIn Ads, Meta Ads, and YouTube.
Experience with CRM and automation tools (HubSpot, Salesforce, Zoho).
Ability to analyze data and make decisions to improve performance.
Team management and leadership skills.
Edtech experience is mandatory.
Job Type: Full-time
Benefits:
Health insurance
Life insurance
Provident Fund
Ability to commute/relocate
Saravanampatti, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred)
Experience:
Working in Edtech: 2 years (Preferred)
Work Location: In person
Job Title - Full Stack Trainer
skills Required - Java, Python, HTML, CSS, Nodejs, SQL, React ,GIT,SVN
Packages- 6LPA-10LPA
Experience- 3-4 Years
Location-Coimbatore.

One of the top Multinational IT and Consulting Company
Work Location- PAN India
Hi All,
Greetings from LMV Group!!!
We are looking for Agency Channel Sales Manager for Life/Health/General Insurance Sales Domain.
Experience Required -mini 2yr. -Max6yr.
Location-Mumbai, Pune, Hyderabad, Banglore, Chennai, Rajahmundry, Vizag, Vijayawada Mysore
No of Vacancy -10+
Candidate must have prior work experience in the relevant domain.
Can able to Recruit agents and generate revenue for the organization. Having Good Potential as an Individual performer.
Company Profile:
Heptagon Technologies, Founded in 2017, we are a next-generation IT services company providing end-to-end technology solutions enabling companies to leapfrog their digital transformation journey..Founded by a passionate group of business and technology experts who’ve built disruptive global technology
products, Heptagon is also backed by Quess Corp (BSE: 539978, NSE: QUESS), India’s leading business services provider with ~363,000 employees and 3000+ clients worldwide. Please visit www.heptagon.in for more info
Package: Best in the industry
Responsibilities:
Apply the fundamentals of Data Structure & Algorithm over application development.
Take ownership, visualise security and data privacy while building.
Produce bug-free and production grade code. Takes up bugs personally and works towards fixing it.
Release management and Code Review
Write unit and integration test cases for both client and server components
Brainstorm and prepare logical and physical solution architecture diagrams
To have explored serverless and basics of docker and kubernetes.
Understand SCRUM/Agile methodologies of working together.
Skills:
Angularjs or Reactjs, Typescript or JavaScript, NodeJs, MYSQL, NoSQL (Additional preference)
Should have enabled cloud-based production-ready designs using AWS or Google Cloud services
Someone who is disciplined to document the artifacts and enables design-based problem-solving approaches.
An ever-learning mindset and never give-up attitude is more valuable to us than work experience.
Perks:
Multi-disciplinary learning
5 days a week
Flat organisational structure
Flexible timings and leave policies
Job description
R360 powers a data-driven customer engagement ecosystem that enables the worlds leading organisations to earn customer loyalty every day.
For over 10 years, R360s loyalty and reward platforms have driven ambitious loyalty programs for some of the worlds 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 SeniorUI Developer
What you ll do :
- Develop complete UI and integrate the same with backend APIs
- Work as full stack developer with prime focus on UI
- Work end to end from design and development
- Code & design review
- Troubleshoot critical issues and guide team as well
What we'll need :
Mandatory skills :
- Overall 3 to 8yrs of overall UI experience
- 3+years of hands-on experience in Angular/ React technologies
- Hands on experience in implementing micro front end architecture
- Strong knowledge in building highly responsive web & mobile applications
- Strong Data structures & algorithm skill
- Strong communication
Technical Skills :
- Front end technologies - Angular, Java Script, jQuery
- Backend technologies - Java, REST
-Mark-up Languages - HTML, CSS3, Bootstrap
-Database - SQL & NoSQL
Modelling - UML & ERD
Bonus point: Candidate from Product/ Banking would be preferred
Bonus point: Candidate from Product/ Banking would be preferred


