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Company Description
Appiness Interactive Pvt. Ltd. is a Bangalore-based product development and UX firm that
specializes in digital services for startups to fortune-500s. We work closely with our clients to
create a comprehensive soul for their brand in the online world, engaged through multiple
platforms of digital media. Our team is young, passionate, and aggressive, not afraid to think
out of the box or tread the un-trodden path in order to deliver the best results for our clients.
We pride ourselves on Practical Creativity where the idea is only as good as the returns it
fetches for our clients.
Key Responsibilities:
- Design and implement advanced AI/ML models and algorithms to address real-world challenges.
- Analyze large and complex datasets to derive actionable insights and train predictive models.
- Build and deploy scalable, production-ready AI solutions on cloud platforms such as AWS, Azure, or GCP.
- Collaborate closely with cross-functional teams, including data engineers, product managers, and software developers, to integrate AI solutions into business workflows.
- Continuously monitor and optimize model performance, ensuring scalability, robustness, and reliability.
- Stay abreast of the latest advancements in AI, ML, and Generative AI technologies, and proactively apply them where applicable.
- Implement MLOps best practices using tools such as MLflow, Docker, and CI/CD pipelines.
- Work with Large Language Models (LLMs) like GPT and LLaMA, and develop Retrieval-Augmented Generation (RAG) pipelines when needed.
Required Skills:
- Strong programming skills in Python (preferred); experience with R or Java is also valuable.
- Proficiency with machine learning libraries and frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Hands-on experience with cloud platforms like AWS, Azure, or GCP.
- Solid foundation in data structures, algorithms, statistics, and machine learning principles.
- Familiarity with MLOps tools and practices, including MLflow, Docker, and Kubernetes.
- Proven experience in deploying and maintaining AI/ML models in production environments.
- Exposure to Large Language Models (LLMs), Generative AI, and vector databases is a strong plus.




Job Responsibilities
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
Requirements for the Job
- Bachelor’s/Master's/PhD in Computer Science, Mathematics, Statistics or equivalent field andmust have a minimum of 2 years of overall experience in tier one colleges
- Minimum 1 year of experience working as a Data Scientist in deploying ML at scale in production
- Experience in machine learning techniques (e.g. NLP, Computer Vision, BERT, LSTM etc..) andframeworks (e.g. TensorFlow, PyTorch, Scikit-learn, etc.)
- Working knowledge in deployment of Python systems (using Flask, Tensorflow Serving)
- Previous experience in following areas will be preferred: Natural Language Processing(NLP) - Using LSTM and BERT; chatbots or dialogue systems, machine translation, comprehension of text, text summarization.
- Computer Vision - Deep Neural Networks/CNNs for object detection and image classification, transfer learning pipeline and object detection/instance segmentation (Mask R-CNN, Yolo, SSD).
Roles and Responsibilities
● Evaluate the company products and compare them against industry trends.
● Develop an understanding of company products to meet the company's current and future needs.
● Gathering functional /non-functional requirements documents using cases and test plans from product definitions.
● Perform business analysis of functional requirements to identify information, procedures, and decision flows.
● Analyze metrics to continually improve company products.
● Created and maintained project documentation - projects plan, project status reports, decisions logs
● Assist the company in achieving short and long-term goals relating to product growth.
● Analyzing the feasibility of the new engineering Work Request and providing support during the implementation phase.
● Preparation of Test cases and Scenarios.
Prerequisites:-
● Experience:- 0-2 Years of Experience
● Bachelor’s degree in business, economics, mathematics or any related field.
● Previous product analysis experience.
● Extensive knowledge of Microsoft Office Suite (Outlook, Excel, Word, Powerpoint) is preferred.
● Proficient in database software.
● Strong communication skills.
● The ability to work under pressure and adapt to change.
● The ability to balance customer needs against the company’s vision.
● Excellent time management skills
Greetings! from Gohoardings Solution LLP. we are looking for a java developer candidate.
Responsibilities-
- Develop and implement new software programs
- Maintain and improve the performance of existing software
- Clearly and regularly communicate with management and technical support colleagues
- Design and update software database
- Test and maintain software products to ensure strong functionality and optimization
- Recommend improvements to existing software programs as necessary
Required-
- Bachelor’s Degree in Computer Science required or in any specialization.
- 2+ years’ experience in web and software development
- Demonstrated knowledge of web technologies, such as HTML, CSS and Javascript
- Ability to work independently and multi-task effectively
- Demonstrated understanding of projects from the perspective of both client and business
- Flexible and willing to accept a change in priorities as necessary
- Strong attention to detail
2. Hands on technical experience on selenium with java.
3. Demonstrated ability to perform and manage test execution activities.
4. Possess strong analytical skills, organizational skills, attention to detail, and excellent verbal and written communication skills.
5. Ability to establish and maintain effective working relationships with the team and all stakeholders.
6. Strong knowledge of agile process and Kanban framework.
7. Strong Automation experience (Selenium with Java, Python) as well as BDD(Cucumber)
8. DevOps experience will be preferred(Docker, Kubernetes, Bitbucket, AWS/Azure Cloud)
Title:- Jira Consultant
Location:- Indore/Bangalore/Pune/Gurgaon
Contract Duration: 6-12 months
Job Description
Understand our business and advise on the best way to use JIRA
Help implement governance of our JIRA usage
Ensure JIRA projects are standardised for development teams
Document our usage of JIRA
Create training material for new hires
SME on workflow, plugins and all JIRA functionality
Consult with teams on how to use JIRA effectively – PMO, PLM Team, Solution Team, Leadership, Business Analysts, Tribe Leads, etc
Setup and maintain reports
Advise on best practices for maintaining JIRA.
Experience required
Experience of designing and managing large scale JIRA deployments in software development environments using agile.

Talk about the role we are offering for Mulesoft and how we are considering trainable resources who are keen to learn and work on new technologies
Our Requirements:
We are looking for 1-8 years of experience in technical skills like Java, python etc and who will be willing to learn and move to mulesoft and related technologies
Ability to work in a fast paced, demanding, and rapidly changing environment
Preferred:
Basic knowledge about mulesoft
Responsibilities
Assist in translating business objectives into technical solutions through the use of MuleSoft Anypoint Platform
Coding, testing, debugging, implementing and documenting MuleSoft based flows and integrations
Apply integration design patterns such as message routing, content enrichment, batch processing, error handling and reconciliation mechanisms to deliver required functionality
WHAT WE ARE OFFERING
Learning and Certification
Best in Industry Salary
Health & Wellness Benefits
Employee Rewards Program
Retirement & Savings
Flexible Schedules
Maternity & Paternity Leave

