- Delivering the operating plan: the achievement of growth objectives including market share, revenue, profit, and return on investment for all the channels/categories of business.
- Responsible for process development of new and existing products and effectively managing the product pipeline portfolio
- Evaluating raw materials being used in products. Sourcing of new materials and ingredient
- Systematic research & analysis on the cost of developing new products
- Responsible for identifying marketing opportunities by analyzing and defining market share, competitor analysis and available product wise market share
- Responsible for managing and implementing marketing activities through research, strategic planning, and implementation
- Supervising the production of the Products Performing of stability studies of the finished Products
- Maintaining ongoing communication with Packaging, Procurement, Manufacturing and Engineering to insure a thorough understanding of emerging new ingredients, packaging and manufacturing technology. Incorporate this learning into new product development process
- Responsible for maintaining records, data, documents pertaining to assigned studies of Products Researches patents, copyrights and trademarks in order to make sure there are no infringement issues involved
- Ensuring that every phase of a particular project proceeds as scheduled and make necessary changes wherever required
- Keeping up to date with changes in the market and technology that would affect new product development
What you need to have:
- 5+ Years of experience in research and development of New product in personal care/FMCG
- Understanding composition/ingredient of the grooming products
- Degree in Biochemistry / Biotechnology / Chemistry
Shubham Vishwakarma
Full Stack Developer - Averlon
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Job Description:
We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems.
This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production.
You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability.
Key Responsibilities
AI & Agentic Infrastructure
- Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows.
- Build scalable runtime environments for LLM orchestration frameworks.
- Enable deployment of AI copilots, assistants, and autonomous decision systems.
Common frameworks may include:
- LangChain
- LlamaIndex
- AutoGPT
LLMOps & AI Model Lifecycle
Design and manage LLMOps pipelines for the full lifecycle of large language models:
- Model deployment
- Prompt management
- Versioning
- Evaluation and testing
- Model monitoring
Integrate with AI platforms such as:
- Azure Machine Learning
- Amazon SageMaker
- Vertex AI
Retrieval-Augmented Generation (RAG) Infrastructure
Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs.
Responsibilities include:
- Document ingestion pipelines
- Embedding generation workflows
- Knowledge indexing
- Query orchestration
- Retrieval optimization
- Support scalable semantic search architectures.
Vector Database & Knowledge Infrastructure
Deploy and manage vector databases used for AI applications and semantic retrieval.
Common technologies include:
- Pinecone
- Weaviate
- Milvus
- FAISS
Responsibilities include:
- Index optimization
- Query latency tuning
- Scalable embedding storage
- Hybrid search architecture
Multi-Cloud AI Infrastructure
Design and maintain AI-ready infrastructure across:
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
Key responsibilities include:
- GPU infrastructure management
- Distributed training environments
- Hybrid cloud integrations with on-prem data centers
- Infrastructure scaling for AI workloads
Data Platforms & Integration
- Support deployment and optimization of data lakes, data warehouses, and streaming platforms.
- Work with data engineering teams to ensure secure and scalable data infrastructure.
Cloud Architecture & Infrastructure
- Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud.
- Build hybrid cloud architectures integrating on-premise environments with cloud platforms.
- Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads.
DevOps, Platform Engineering & Automation
Build automated cloud infrastructure using modern DevOps practices.
Tools may include:
- Terraform
- Docker
- Kubernetes
- GitHub Actions
Responsibilities include:
- Infrastructure as Code (IaC)
- Automated deployments
- CI/CD pipelines for AI models and services
- Platform reliability and scalability
AI Observability & Monitoring
Implement observability frameworks to monitor AI systems in production.
This includes:
- Model performance monitoring
- Prompt evaluation
- Hallucination detection
- Latency and throughput analysis
- Cost monitoring for LLM usage
Tools may include:
- Arize AI
- WhyLabs
- Weights & Biases
Security, Governance & Responsible AI
Ensure AI systems follow strong governance and security practices.
Responsibilities include:
- Data privacy and compliance
- Model governance frameworks
- Secure model deployment
- Monitoring model bias and drift
- AI risk management
Support enterprise frameworks for Responsible AI and AI compliance.
Data & Security
- Experience with data lake architectures, distributed storage, and ETL pipelines
- Knowledge of data security, encryption, IAM, and compliance frameworks
- Familiarity with AI governance and responsible AI practices
Required Skills
Cloud & Infrastructure
- Strong experience in Azure (must have), AWS or GCP
- Hybrid and multi-cloud architecture
- GPU infrastructure management
DevOps & Automation
- Kubernetes
- Docker
- Terraform
- CI/CD pipelines
AI / ML Platforms
- MLOps pipelines
- Model deployment
- Model monitoring
AI Application Infrastructure
- Vector databases
- RAG pipelines
- LLM orchestration frameworks
Programming
Experience in one or more languages:
- Python
- Go
- Java
- TypeScript
Preferred Qualifications
- Experience building AI copilots or autonomous agents
- Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training
- Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability
- Experience building enterprise AI platforms
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering
- Experience working in data-driven or AI-focused environments
What Success Looks Like
- Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms
- Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products
- Secure and scalable AI-ready cloud platforms
- Strong automation and governance across cloud and AI systems
Job Title:
Quality Control (QC) Engineer – Fresher
Experience:
Freshers (0–1 Year)
Job Summary
We are looking for a detail-oriented and enthusiastic Quality Control (QC) Engineer to join our QA team. The ideal candidate should possess strong knowledge of Manual Testing concepts and a working understanding of Automation Testing using Selenium and Java. The candidate will be responsible for ensuring software quality through test planning, execution, defect tracking, and validation activities.
Key Responsibilities
- Analyze business and functional requirements to create effective test scenarios and test cases.
- Perform comprehensive manual testing of web and enterprise applications.
- Execute Functional, Regression, Integration, System, Smoke, and User Acceptance Testing (UAT).
- Identify, document, track, and verify defects throughout the testing lifecycle.
- Validate bug fixes and perform retesting activities.
- Participate in test planning, test execution, and test reporting activities.
- Support automation testing efforts by executing and maintaining automation scripts.
- Collaborate with developers, business analysts, and stakeholders to ensure product quality.
- Prepare and maintain testing documentation and test evidence.
Required Technical Skills
Manual Testing
- Strong understanding of:
- Software Testing Life Cycle (STLC)
- Software Development Life Cycle (SDLC)
- Test Case Design Techniques
- Defect Life Cycle
- Functional Testing
- Regression Testing
- Integration Testing
- System Testing
- Smoke Testing
- Sanity Testing
- User Acceptance Testing (UAT)
- Test Planning and Test Execution
- Experience in defect reporting and tracking tools.
- Basic SQL knowledge for database validation and testing.
Automation Testing
- Working knowledge of Selenium WebDriver.
- Good understanding of Java programming fundamentals.
- Knowledge of TestNG or JUnit.
- Understanding of automation frameworks and test automation concepts.
- Experience with XPath, CSS Selectors, and Web Element Locators.
- Basic knowledge of Data-Driven and Keyword-Driven Frameworks.
Educational Qualification
- B.Tech
- B.Sc (Computers)
Preferred Skills
- Internship, certification, or project experience in Software Testing.
- Knowledge of API Testing tools such as Postman is an added advantage.
- Familiarity with version control tools such as Git.
- Good analytical and problem-solving skills.
- Strong communication and documentation skills.
Javascript
React.js
PHP
HTML/CSSCompany: Snaptics
Job title: Senior Fullstack developers
Job type: Full time
Location: Hyderabad
Work schedule: 6 days (week end off)
Shift timings: 10:00am-6:30pm
Eligibility: Any degree
Experience: 2-4 years
Requirements:
Solid expertise in CMS, PHP, Wordpress, HTML5, CSS3, JavaScript (ES6+), and React.js.
2+ years of experience in web development
Proficiency in TypeScript and experience with popular React State Management solutions like Redux or Context API.
Experience with responsive design and cross-browser compatibility.
Excellent design skills with an eye for aesthetics and usability.
Strong understanding of UI/UX design principles and the ability to transform complex concepts into intuitive, accessible, and visually appealing interfaces.
Strong communication and collaboration skills.
Experience with version control systems like Git.
Familiarity with RESTful APIs and integration with backend services.
Excellent problem-solving abilities with an aptitude for learning and adapting to new technologies.
Position: Sr executive
Dept: Pre sales
Salary Bracket: 40 - 50k
Key Responsibilities:
- Act as the first point of contact for incoming customer leads and inquiries.
- Conduct product presentations, site walkthroughs, and client meetings.
- Understand customer needs and tailor solutions accordingly.
- Coordinate with the sales and marketing teams to ensure seamless lead handovers.
- Maintain updated records of client interactions and follow-ups in CRM.
- Represent the brand professionally and uphold service excellence at all times.
- Participate in events, exhibitions, and site activations when required.
Data Analytics● Knowledge of Excel,SQL and writing code in python.
● Experience with Reporting and Business Intelligence tools like Tableau, Metabase.
● Exposure with distributed analytics processing technologies is desired (e.g. Hive, Spark).
● Experience with Clevertap, Mixpanel, Amplitude, etc.
● Excellent communication skills.
● Background in market research and project management.
● Attention to detail.
● Problem-solving aptitude.
Job Summary:
This role defines best practices in the critical evaluation and selection and / or development of the software components and hardware requirements of the applications and data, and the development of the application, including evaluation and selection of development methods, development processes, best practices and tools. Applications Architects are responsible for applications-related quality, performance, availability, scalability, and integrity. They are also responsible for the functional interface to applications and for ensuring application usability.
Key Skills and Qualifications
- Total Years of Experience - 8-10 yrs Relevant years of Experience - 8 yrs
- Mandatory Skills - CC&B Administration
- Good to have: Past experience in Energy and Utilities
- Detailed Job Description: Configuring and Administering CC&B, C2M Thread pool worker.
- Closely monitoring the jobs for its performance.
- Performing CC&B, C2M Cloning/Refresh of CC&B, C2M Development/UAT instances from production
- Applying recommended Oracle Patches for CC&B, C2M Application and CC&B, C2M database.
- Working closely with Oracle support for the critical issues.
- Possessing Good Knowledge of CC&B, C2M architecture and concepts and Operating systems.
To be successful in this role, one must have min. 3 - 7 years of experience in a start-up/product-based software development firm who started his career as a technical recruiter and gradually grew to the stage of handling teams & stakeholders.
Roles & Responsibilities:
- The role is someone needs to contribute 50% IC & 50% team handling.
- Succession Planning & workforce forecast.
- Must ensure the sufficient workforce is available based on business needs at all times.
- Should execute the overall end-end recruitment process with the hiring Manager's & the stakeholder's, must ensure the task is successfully completed either as a Team or IC on a need basis.
- Go-getter person & should be flexible to grow and change in a rapid environment.
- Should be more organized as a team and ready to roll off your sleeves as needed to execute things in different verticals of HR department.
- Min. 3 - 7 years of experience in Technical Recruitment.
- Must have worked in a product based / start-up only are eligible.
- Should have experience in handling Stakeholders & must have exposure in working with Management.
- Should have experience in hiring Tech stacks like Java, Angular, Devops, testing, ABAP and non-tech like PM, BA, Consultants, support, sales etc from Junior to Senior level.
- Expertise in Boolean & X-ray search.
- talented in Headhunting & harvesting.
- Should have handled a team of at least 3 people.
- The right fit is someone who can source quality & qualified sources rather more than quantity.
.NET
C#Oddr is looking for an experienced senior backend engineer to help us build scalable multi-tenanted enterprise Cloud applications. The ideal candidate should be able to bring new ideas to the table and design and develop distributed microservices with a strong emphasis on security, resiliency, scalability, performance, and quality. As a senior engineer, the candidate should be able and willing to mentor and guide fellow team members on best practices like code styling, efficiency, and testability as the team scales and grows. The candidate should demonstrate leadership qualities, be a self-motivated team player, and take pride in what they deliver.
The candidate should be interested in a long-term stable career to grow with our company. The candidate will need to work late night hours because of the geographic distribution of the team.
Requirements:
- Strong proficiency in .NET Core and C#
- Strong understanding of Cloud development concepts, including CI/CD pipelines
- Experience with successful end-to-end delivery of web applications in the Cloud. Azure knowledge is a strong plus.
- Experience with API-driven development and developing RESTful APIs
- Experience with database design and writing complex SQL
- Familiarity with Reactive Programming concepts
- Ability to write clean, well-structured code with adequate test coverage, proper abstraction, and reusability
- Ability to work to tight deadlines, manage priorities, and take responsibility for delivering to time and quality requirements
- Good understanding and experience with Agile development methodologies
- Ability to understand business requirements and translate them into technical requirements
- Excellent communication skills
- Excellent problem-solving skills
Minimum qualifications required:
- Bachelor's degree in Computer Science from a reputable institute. Master's preferred.
- 5 years of experience. 7 years preferred.
What you will do:
- Working closely with the external auditors to achieve common goals
- Conducting Enabling Service Audit (HR, Admin, IT) once in 6 months for the verification of ISMS & QMS Standards
- Performing ISMS and Internal Audit
- Being part of the external Audits (ISMS, QMS & CMMI)
- Managing of implementation of ISMS
Desired Candidate Profile
What you need to have:- Strong communication and team building skills with proficiency at grasping new technical concepts quickly and utilizing the same in a productive manner
- Experience in ISO27001, Internal Audits, CMMI
iOS App Development
Objective C
Swift
Android Development
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon