Marketing Executive

The test Engineer will assess software quality through manual and automated testing. He/She will be responsible for finding and reporting bugs and glitches. Ultimately, he/she will ensure that our products, applications, and systems work correctly when implemented.

Duties And Responsibilities

• Review and analyze system specifications
• Collaborate to develop effective strategies and test plans
• Execute test cases (manual or automated) and analyze results
• Create logs to document testing phases and defects
• Report bugs and errors to development teams
• Help troubleshoot issues
• Conduct post-release/ post-implementation testing
• Work with cross-functional teams to ensure quality throughout the software development lifecycle
• To complete testing in line with agreed timeframes and by following the documented business processes using the appropriate test management and automation tools.
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Skills / Attributes Required

• Strong domain experience
• Proven 3+ years experience as a QA tester
• Experience in QA methodology
• Familiarity with Agile frameworks and regression testing is a plus
• Ability to document and troubleshoot errors
• Working knowledge of test management software
• Excellent communication (verbal & written) skills
• Attention to detail
• Analytical mind and problem-solving aptitude
• Strong organisational skills
• Proven ability to work under pressure

Skills:- Manual testing, Automation, Agile/Scrum, and TMS

We are looking to hire a UX Designer with 5–6 years of experience with a UX and UI design skillset, specifically within the financial services domain. Below are our key requirements for this role:

1. Proven experience in the NBFC or fintech sector
2. Strong understanding of financial workflows, dashboard design, and data visualization
3. Hands-on experience designing user journeys and interfaces for transactional platforms, lending products, or investment dashboards
4. Ability to translate complex financial processes into intuitive user experiences
5. Familiarity with compliance-driven design considerations in BFSI environments
6. Proficient in design tools like Figma, Sketch, or Adobe XD
7. Collaborative mindset and ability to work closely with product, business, and engineering teams

We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology.

Key Roles & Responsibilities: 

• Design and Develop AI-Powered Solutions: Architect and implement scalable AI/ML systems, focusing on Large Language Models (LLMs) and other deep learning applications.
• End-to-End Model Development: Lead the entire lifecycle of AI models—from data collection and preprocessing to training, fine-tuning, evaluation, and deployment.
• Fine-Tuning & Customization: Leverage techniques like LoRA (Low-Rank Adaptation) and Q-LoRA to efficiently fine-tune large models for specific business applications.
• Reasoning Model Implementation: Work with advanced reasoning models such as DeepSeek-R1, exploring their applications in enterprise AI workflows.
• Data Engineering & Dataset Creation: Design and curate high-quality datasets optimized for fine-tuning AI models, ensuring robust training and validation processes.
• Performance Optimization & Efficiency: Optimize model inference, computational efficiency, and resource utilization for large-scale AI applications.
• MLOps & CI/CD Pipelines: Implement best practices for MLOps, ensuring automated training, deployment, monitoring, and continuous improvement of AI models.
• Cloud & Edge AI Deployment: Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP) and explore edge AI deployment where applicable.
• API Development & Microservices: Develop RESTful APIs and microservices to integrate AI models seamlessly into enterprise applications.
• Security, Compliance & Ethical AI: Ensure AI solutions comply with industry standards, data privacy laws (e.g., GDPR, HIPAA), and ethical AI guidelines.
• Collaboration & Stakeholder Engagement: Work closely with product managers, data engineers, and business teams to translate business needs into AI-driven solutions.
• Mentorship & Technical Leadership: Guide and mentor junior engineers, fostering best practices in AI/ML development, model fine-tuning, and software engineering.
• Research & Innovation: Stay updated with emerging AI trends, conduct experiments with cutting-edge architectures and fine-tuning techniques, and drive innovation within the team.

Basic Qualifications: 

• A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field 
• Experience: 5-8 Years 
• Strong programming skills in Python and Java 
• Good understanding of machine learning fundamentals 
• Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) 
• Familiar with frontend development and frameworks like React 
• Basic knowledge of LLMs and transformer-based architectures is a plus.

Preferred Qualifications  

• Excellent problem-solving skills and an eagerness to learn in a fast-paced environment 
• Strong attention to detail and ability to communicate technical concepts clearly

• Key Skills:
• Expert Proficiency in anyone the below programming language - Node JS, PHP or GoLang
• Expert Computer Science fundamentals like Data Structures, Algorithms, Time Complexity, and others
• Strong Microservices, REST API, Git source control, CI/CD, and other latest technology trends
• Strong System Design, DB Design proficiency
• Strong knowledge in Design Patterns, best software development practices
• Good exposure to working in Open Source stack, E-Commerce, or Fintech domain.

• Proven at least 2 to 3 years of work experience as a Front-end developer
• Hands-on experience with markup languages
• Experience with JavaScript,Next.Js and Tailwind is a must
• Familiarity with browser testing and debugging
• In-depth understanding of the entire web development process (design, development and deployment)
• Understanding of layout aesthetics
• Excellent analytical and multitasking skills
• Engineering Graduates preferred

SEO Executive Job Description

• We are looking for a result-driven SEO executive to be responsible for developing optimized web content. The SEO executive's responsibilities include working closely with the marketing team to achieve SEO objectives, measuring the success of SEO and ROI, and assisting with the maintenance of the website's architecture to ensure user friendliness.
• To be successful as an SEO executive, you should have strong copywriting and analytical skills, knowledge of coding techniques, and a commitment to constantly improving on key skills. Ultimately, an SEO executive should have outstanding knowledge of SEO, passion for the industry and time management skills.

SEO Executive Responsibilities:

• Conducting on-site and off-site analysis of web SEO competition.
• Using google analytics to conduct performance reports regularly.
• Creating high-quality SEO content.
• Assisting with blog content.
• Leading keyword research and optimization of content.
• Keeping up-to-date with developments in SEM.

IT Company

Full Time Office Job

Salary - 10k to 14k in hand

Experience - 1 to 2 year

• Must-Know React, PHP, & JS
• Good with writing clean and efficient code
• Must use WordPress coding standards
• Decent knowledge of all technologies involved with developing WordPress plugins
• Basic knowledge of Photoshop for creating pixel-perfect HTML (if needed)
• Common sense & Troubleshooting mindset

What you need to have:

1. Should be very strong Scala development(Coding)
2. With Any combination of Java/Python/Spark/Bigdata
3. 3+ years experience in Core Java/Scala with good understanding of multithreading
4. The candidate must be good with Computer Science fundamentals
5. Exposure to python/perl and Unix / K-Shell scripting
6. Code management tools such as Git/Perforce.
7. Experience with large batch-oriented systems 
8. DB2/Sybase or any RDBMS
9. Prior experience with financial products, particularly OTC Derivatives
10. Exposure to counterparty risk, margining, collateral or confirmation systems