Subject Matter Expert (SME) – Operations

About the Role

We are seeking creative and enthusiastic Graphic Design Interns to join our team remotely for a 3-month internship. This role is ideal for students or recent graduates interested in visual design, branding, and digital media. While this is an unpaid internship, interns who successfully complete the program will receive a Completion Certificate and a Letter of Recommendation.

Responsibilities

• Assist in creating visual content for social media, websites, and marketing campaigns.
• Support in designing graphics, banners, posters, and other digital assets.
• Collaborate with the marketing and content teams to develop creative concepts.
• Help maintain brand consistency across all designs.
• Support the preparation of presentations and other visual materials.
• Keep up with design trends and propose new ideas for creative content.

Requirements

• Proficiency in design tools such as Adobe Photoshop, Illustrator, Figma, or Canva.
• Basic understanding of typography, color theory, and layout design.
• Creativity, attention to detail, and strong visual communication skills.
• Ability to work independently in a remote environment.
• Good time management skills and ability to meet deadlines.
• Portfolio or sample designs (academic or personal) is a plus.

What You’ll Gain

• Hands-on experience in graphic design for digital and marketing projects.
• Exposure to branding, visual storytelling, and creative workflows.
• Mentorship from experienced designers.
• Completion Certificate upon successful completion.
• Letter of Recommendation based on performance.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Stipend: Unpaid
• Perks: Completion Certificate + Letter of Recommendation

Company: Wissen Technology

Website: www.wissen.com

LinkedIn: https://www.linkedin.com/company/wissen-technology/

Wissen Technology, part of the Wissen Group founded in 2000, is a specialized technology company delivering high-end consulting services across Banking & Finance, Telecom, and Healthcare domains. The organization has grown significantly in recent years and works with several Fortune 500 clients including Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, and others.

Position Name - Senior Python Full Stack developers with Agentic AI

Location - Mum/Pune

Experience: 8-12 years. 

Key Responsibilities 

• Agent Development: Design, build, and deploy autonomous agents capable of independent decision-making, planning, and task execution.
• AI Orchestration: Utilize frameworks like LangGraph, AutoGen, CrewAI, or LangChain to orchestrate complex agentic workflows.
• LLM Integration: Integrate Large Language Models (LLMs) (e.g., GPT-4, Claude) with internal tools, vector databases, and external APIs using Retrieval-Augmented Generation (RAG) techniques.
• System Optimization: Optimize AI models for performance, scalability, and security in production environments.
• Memory & Context: Implement memory management for agents to ensure context retention across long-running tasks.
• Evaluation & Monitoring: Develop evaluation frameworks for agent performance and maintain agent observability (AgentOps). Naukri.com +3

Required Technical Skills

• Programming: Strong expertise in Python OOPs , asynchronous programming, and RESTful APIs.
• AI Frameworks and Tools : Deep knowledge of LangChain, LangGraph or AutoGen.
• Tools & Technologies: Vector Databases (Pinecone, Chroma), Prompt Engineering, and Agentic Design Patterns.
• Cloud & DevOps: Experience with AWS, GCP, or Azure and containerization (Docker, Kubernetes) for AI deployment.
• Database: Experience with SQL/NoSQL databases. 

Job Title: QA Engineer – Blockchain / Web3 / DApps

Location: Noida (Onsite)

Experience: 3+ Years

About the Role

We are looking for a detail-oriented QA Engineer with hands-on experience in Blockchain, Web3 Wallets, and Decentralized Applications (DApps). The ideal candidate will ensure the reliability, performance, and security of blockchain-based products through both manual and automated testing.

Key Responsibilities

• Design, develop, and execute test cases for Blockchain applications, Web3 Wallets, and DApps.
• Perform functional, integration, regression, and performance testing across blockchain ecosystems (Ethereum, Polygon, BSC, etc.).
• Test Web3 wallet integrations (MetaMask, Trust Wallet, WalletConnect, Coinbase Wallet).
• Validate smart contracts using Hardhat, Truffle, Remix IDE, and Blockchain Explorers (Etherscan, Polygonscan, BSCscan).
• Conduct API testing (REST, GraphQL, Web3 APIs) using Postman, Newman, and Insomnia.
• Automate UI & functional tests using Selenium, Cypress, or Playwright.
• Perform mobile DApp testing using Appium.
• Collaborate with developers, product managers, and blockchain engineers to identify and resolve defects.
• Document test plans, strategies, and reports in Confluence/JIRA.
• Participate in CI/CD pipelines for test automation (Jenkins, GitHub Actions).

Required Skills & Tools

• Blockchain & Web3: Ethereum, Polygon, Binance Smart Chain, Ganache, Hardhat, Truffle, Remix IDE
• Wallet Testing: MetaMask, Trust Wallet, WalletConnect, Coinbase Wallet
• Automation & QA Tools: Selenium, Cypress, Playwright, Appium
• API Testing: Postman, Newman, Insomnia
• Performance Testing: JMeter, Locust, k6
• Version Control & CI/CD: Git, GitHub, GitLab, Jenkins, GitHub Actions
• Bug Tracking & Collaboration: JIRA, Trello, Confluence

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3+ years of QA experience, with at least 2 years in Blockchain/Web3.
• Strong understanding of smart contracts, wallets, and decentralized apps.
• Hands-on experience with test automation frameworks and API testing.
• Excellent problem-solving, debugging, and communication skills.

Designation: Senior - DBA

Experience: 6-9 years

CTC: INR 17-20 LPA

Night Allowance: INR 800/Night

Location: Hyderabad,Hybrid

Notice Period: NA

Shift Timing : 6:30 pm to 3:30 am

Openings: 3

Roles and Responsibilities:

As a Senior Database Administrator is responsible for the physical design development

administration and optimization of properly engineered database systems to meet agreed

business and technical requirements.

The candidate will work as part of but not limited to the Onsite/Offsite DBA

group-Administration and management of databases in Dev Stage and Production

environments

Performance tuning of database schema stored procedures etc.

Providing technical input on the setup configuration of database servers and SAN disk

subsystem on all database servers.

Troubleshooting and handling all database related issues and tracking them through to

resolution.

Pro-active monitoring of databases both from a performance and capacity management

perspective.

Performing database maintenance activities such as backup/recovery rebuilding and

reorganizing indexes.

Ensuring that all database releases are properly assessed and measured from a

functionality and performance perspective.

Ensuring that all databases are up to date with the latest service packs patches &

security fixes.

Take ownership and ensure high quality timely delivery of projects on hand.

Collaborate with application/database developers quality assurance and

operations/support staff

Will help manage large high transaction rate SQL Server production

Eligibility:

Bachelors/Master Degree (BE/BTech/MCA/MTect/MS)

6 - 8 years of solid experience in SQL Server 2016/2019 Database administration and

maintenance on Azure and AWS cloud.

Experience handling and managing large SQL Server databases in a real time production

environment with sizes greater than 200+ GB

Experience in troubleshooting and resolving database integrity issues performance

issues blocking/deadlocking issues connectivity issues data replication issues etc.

Experience on Configuration Trouble shoot on SQL Server HA

Ability to detect and troubleshoot database related CPUmemoryI/Odisk space and other

resource contention issues.

Experience with database maintenance activities such as backup/recovery & capacity

monitoring/management and Azure Backup Services.

Experience with HA/Failover technologies such as Clustering SAN Replication Log

shipping & mirroring.

Experience collaborating with development teams on physical database design activities

and performance tuning.

Experience in managing and making software deployments/changes in real time

production environments.

Ability to work on multiple projects at one time with minimal supervision and ensure high

quality timely delivery.

Knowledge on tools like SQL Lite speed SQL Diagnostic Manager App Dynamics.

Strong understanding of Data Warehousing concepts and SQL server Architecture

Certified DBA Proficient in TSQL Proficient in the various Storage technologies such as

ASM SAN NAS RAID Multi patching

Strong analytical and problem solving skills Proactive independent and proven ability to

work under tight target and pressure

Experience working in a highly regulated environment such as a financial services

institutions

Expertise in SSIS SSRS

Skills:

SSIS

SSRS

About us

Wednesday is an engineering services company. We provide services in Data Engineering, Generative and applied AI, and Application Modernization. We partner with mid-sized companies and enterprises to solve their most ambitious engineering challenges. Over the years, we have worked with organizations that have become household names in Southeast Asia. Our customers include startups, unicorns, and enterprises.

We are a group of makers - designers, developers, and project managers. We care about our work and think of it as a craft. We love working with ambitious entrepreneurs and help them realize their business goals.

Our engineering philosophy is to be practical. We have deep expertise in data engineering, cloud-native technologies, and mobile application development. We love to work on complex problems and use our expertise to create long-term frameworks that yield business results.

Job Description

As a Go developer, you will be responsible to manage the exchange of data between users and servers. You will be responsible for writing server-side logic, database definitions and ensuring high performance to requests from our front end.

Core Requirements:

• Participate in daily standups, weekly demos, and scrum planning sessions.
• Participate in code reviews.
• Write unit and integration tests.
• Follow git-flow as a continuous software development practice.
• Should have a figure-it-out attitude and should be able to build features by referencing documentation.
• Good understanding of design principles behind scalable applications

Skills Required:

• Knowledge of Go frameworks such as gin or echo.
• Knowledge of testing in Go.
• Good understanding of goroutines.
• Ability to create database schemas that represent and support business needs.
• Good understanding of databases, both SQL and NoSQL.
• 
  

Benefits

• Mentorship: Work next to some of the best engineers and designers.
• Freedom: An environment where you get to practice your craft. No micromanagement.
• Comprehensive healthcare: Healthcare for you and your family.
• Growth: A tailor-made program to help you achieve your career goals.
• A voice that is heard: We don't claim to know the best way of doing things. We like to listen to ideas from our team.

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

KRONOS WORKFORCE TIMEKEEPER, REPORTING, KRONOS, SQL, SCRUM METHODOLOGY

Qualification / Education and other Requirements:

• Education- Any Undergraduate (BBA,B.Tech, B,A) etc.

• Excellent verbal and written communication.

• Good Interpersonal skills, numerical and analytical ability.

• Decision making skills.

• Language required: English & Hindi (mandatory),

Kannada/Tamil/Marathi/Telugu (optional)

• Proficient in MS-Office (Excel, Word).

• Should be flexible for day shift- (9-hour of login between 8 AM - 10 PM). •

Comfortable with working 6 days a week and the week off will be on weekday.

Role and Responsibility – Sales Executive

• Identifies business opportunities by identifying prospects.

• Sells products by establishing contact and developing relationships with prospects recommending

solutions.

• Outbound calling on data collected through lead generation activities / secondary data

sources. • Daily follow-ups on older leads and work on new leads.

• Maintains quality service by establishing and enforcing organization standards. • Must be

energetic, well-spoken, and eager to close sales deals and generate revenue for the

organization.

About Training- Training will be provided for initial few days for an employee to understand end to

end process.

Responsibilities

● Be a hands-on engineer, ensure frameworks/infrastructure built is well designed,

scalable & are of high quality.

● Build and/or operate platforms that are highly available, elastic, scalable, operable and

observable.

● Build/Adapt and implement tools that empower the TI AI engineering teams to

self-manage the infrastructure and services owned by them.

● You will identify, articulate, and lead various long-term tech vision, strategies,

cross-cutting initiatives and architecture redesigns.

● Design systems and make decisions that will keep pace with the rapid growth of TI AI.

● Document your work and decision-making processes, and lead presentations and

discussions in a way that is easy for others to understand.

● Available for on-call during emergencies to handle and resolve problems in a quick and

efficient manner.

Requirements

● 2+ years of Hands-on experience as a DevOps / Infrastructure engineer with AWS and

Kubernetes or similar infrastructure platforms. (preferably AWS)

● Hands-on with DevOps principles and practices ( Everything-as-a-code, CI/CD, Test

everything, proactive monitoring etc).

● Experience in building and operating distributed systems.

● Understanding of operating systems, virtualization, containerization and networks

preferable

● Hands-on coding on any of the languages like Python or GoLang.

● Familiarity with software engineering practices including unit testing, code reviews, and

design documentation.

● Strong debugging and problem-solving skills Curiosity about how things work and love to

share that knowledge with others.

Benefits :

● Work with a world class team working on a very forward looking problem

● Competitive Pay

● Flat hierarchy

● Health insurance for the family