Physical Design Engineer

Job Title : React.js + Web3 Developer

Experience : 2+ Years

Location : Gurgaon, Sector 48 (Work From Office)

Working Days : 6 Days

Employment Type : Full-Time, Permanent

Job Summary :

We are seeking a talented React.js + Web3 Developer to join our fast-growing engineering team.

The ideal candidate should have strong front-end development skills along with hands-on experience in blockchain/Web3 integrations.

Mandatory Skills : React.js, JavaScript/TypeScript, Web3.js/Ethers.js, Wallet Integrations, State Management (Redux/Zustand), REST APIs, Git.

Key Responsibilities :

• Develop responsive, scalable front-end applications using React.js & TypeScript.
• Integrate Web3.js / Ethers.js to connect UI with blockchain networks.
• Work with REST & GraphQL APIs for backend communication.
• Implement wallet integrations (MetaMask, WalletConnect, Coinbase Wallet, etc.).
• Collaborate with blockchain engineers for smart contract interactions.
• Optimize UI performance, handle state management, and write clean, maintainable code.
• Troubleshoot and enhance Web3 features within the application.

Mandatory Skills :

• Strong hands-on experience in React.js, JavaScript/TypeScript.
• Experience with Web3.js/Ethers.js, blockchain interactions.
• Understanding of wallet integrations, dApps, and blockchain basics.
• Knowledge of state management (Redux/Zustand/Context API).
• Strong debugging, problem-solving, and Git experience.

Nice to Have :

• Familiarity with Solidity, Smart Contracts, and Ethereum ecosystem.
• Experience with Node.js or backend systems.
• Understanding of IPFS, Layer 2 solutions, and NFT standards.

Role Overview 

As a Data Scientist, you will work with business stakeholders, AI engineers, and domain experts to transform data into actionable insights and intelligent solutions. You will develop machine learning models, perform statistical analysis, and contribute to AI-driven products that create measurable business impact. 

Key Responsibilities 

Data Science & Machine Learning 

• Analyze structured and unstructured data to identify patterns, trends, and business opportunities.  
• Perform exploratory data analysis (EDA), feature engineering, and data preparation.  
• Develop, evaluate, and optimize machine learning models for prediction, classification, clustering, and forecasting.  
• Apply statistical techniques to solve business problems and validate model performance.  
• Design and execute experiments to improve model accuracy and business outcomes.  

 AI Solution Development 

• Collaborate with AI Engineers, Data Engineers, and domain experts to build AI-powered solutions.  
• Translate business requirements into scalable data science approaches.  
• Contribute to Generative AI and advanced analytics initiatives where applicable.  
• Document methodologies, model performance, and key findings.  

 Required Technical Skills 

• Strong programming skills in Python and SQL for data analysis, feature engineering, and machine learning.  
• Strong understanding of Statistics, Probability, Linear Algebra, and Calculus as applied to machine learning and data science.  
• Experience with Exploratory Data Analysis (EDA), data preprocessing, feature engineering, feature selection, and handling missing or imbalanced data.  
• Good understanding of Supervised, Unsupervised, and Ensemble Machine Learning algorithms, including their assumptions, strengths, limitations, and appropriate use cases.  
• Strong knowledge of Regression, Classification, Clustering, Time Series Forecasting, Dimensionality Reduction, Recommendation Systems, and Anomaly Detection techniques.  
• Experience with Model Evaluation, Cross-Validation, Hyperparameter Optimization, Bias-Variance Trade-off, Feature Importance, Explainable AI (XAI), and Performance Metrics.  
• Understanding of Statistical Inference, Hypothesis Testing, Probability Distributions, Sampling Techniques, Confidence Intervals, and A/B Testing.  
• Experience translating business problems into analytical approaches and developing scalable, data-driven solutions.  
• Working knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) is preferred. 

Preferred Qualifications 

• Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field.  
• 2–4 years of experience developing machine learning or data science solutions.  
• Experience working on end-to-end data science projects in a business environment.  

 Nice to Have 

• Exposure to Generative AI, LLMs, RAG, or Agentic AI.  
• Experience with Computer Vision or Natural Language Processing (NLP).  
• Familiarity with cloud-based AI platforms.  
• Knowledge of construction, engineering, manufacturing, or industrial domains.  
• Participation in hackathons, research, Kaggle competitions, or open-source projects.  

 Soft Skills 

Strong analytical and problem-solving skills, effective communication and collaboration, ownership mindset, adaptability, continuous learning, and a passion for innovation.

ob Description :

Mainframe Developer/Analyst

Combination of COBOL, JCL, VSAM with DB2 – Resources need to be strong developers.

Technical Skills:

• 5 to 10 years of Hands on Development experience

• Very good Hands-on in Cobol, JCL, VSAM, Db2, Mainframe Utilities,

• Strong Coding experience in COBOL, JCL, DB2, VSAM.
• Work experience in CICS / MQ series.
• Strong analytical skills to analyze complex code independently and extract business rules.
• Willingness to WFO (5 days WFO) (No WFH).
• JAVA / JSON will be added advantage.

• Ability to design, code, unit test, turnover, implement and support the changes.

• Writing and executing the unit test scenarios/cases to ensure the code quality and reliability.

• Deep understanding of all lifecycle components (code, test, deploy)

• Ability to present designs to peers and Product Owner for approval.

• Troubleshooting and debugging code to resolve technical issues.

• Optimizing application performance to ensure efficient use of software resources.

• Good verbal and written communication and interpersonal skills

Process Skills:

• Should have worked in Agile Project

Behavioural Skills:

• Good Communication skills

🚀 We're Hiring: Golang Developer

Thinqor Solutions is looking for an experienced Golang Developer to join our team in Bangalore. If you have years of experience and love building scalable backend systems, we want to hear from you!

Location: Bangalore

Core Skills: Go, Kafka, REST Web Services

Databases: Postgres & Couchbase (NoSQL)

DevOps: Docker, Kubernetes, Jenkins, & ELK Stack

Tools: Git & RestAssured

How to Apply:

If you're ready for your next challenge, please send your resume to:

Key Responsibilities

• Backend & API Engineering (60% Focus)
• Design and implement REST APIs and microservices for high-performance AI systems.
• Apply enterprise object-oriented programming best practices for secure, scalable backend services.
• Integrate AI-powered features with cloud-native architectures.
• Generative AI & LLM Development (40% Focus)
• Build LLM-powered features with the OpenAI API or other LLM APIs (reasoning and non-reasoning models, temperature tuning, version control).
• Implement retrieval-augmented generation (RAG).
• Apply advanced prompt engineering and model tuning techniques for optimized results.
• Deploy and manage solutions using Docker and secure integrations (e.g., SSO, Google Drive).

What We’re Looking For

• 10+ years of backend engineering experience (REST APIs, microservices, OO enterprise architecture).
• 3+ years of experience building AI/ML solutions (LLMs, RAG, OpenAI API).
• Strong hands-on Python expertise and object-oriented design patterns.
• Hands-on experience with Langchain, Lambda, Docker, and secure system integrations.
• Proven track record delivering production-ready, scalable applications.

• Graduate+ in Mathematics, Statistics, Computer Science, Economics, Business, Engineering or equivalent work experience.
• Total experience of 5+ years with at least 2 years in managing data quality for high scale data platforms.
• Good knowledge of SQL querying.
• Strong skill in analysing data and uncovering patterns using SQL or Python.
• Excellent understanding of data warehouse/big data concepts such data extraction, data transformation, data loading (ETL process).
• Strong background in automation and building automated testing frameworks for data ingestion and transformation jobs.
• Experience in big data technologies a big plus.
• Experience in machine learning, especially in data quality applications a big plus.
• Experience in building data quality automation frameworks a big plus.
• Strong experience working with an Agile development team with rapid iterations. 
• Very strong verbal and written communication, and presentation skills.
• Ability to quickly understand business rules.
• Ability to work well with others in a geographically distributed team.
• Keen observation skills to analyse data, highly detail oriented.
• Excellent judgment, critical-thinking, and decision-making skills; can balance attention to detail with swift execution.
• Able to identify stakeholders, build relationships, and influence others to get work done.
• Self-directed and self-motivated individual who takes complete ownership of the product and its outcome.

1. Relevant Experience required 3 to 5 years.
2. Strong proficiency in python programming language along with expertise in backend development framework such as
3. Django or Flask. (DSA and Design patterns are mandatory).
4. Hand on Experience in REST API development and database such as PostgreSQL.
5. Good knowledge of versions control systems like GIT, Bitbucket
6. Implementation testing strategies such as unit testing (PyTest), integration testing and end to end testing 
7. Basic knowledge of Docker/Podman and Jenkins.
8. Good have if they basic knowledge in Mainframe tech such JCL, and TWs.

We are looking for a Product Marketer who’ll lead all our marketing activities from social media and digital campaigns to advertising and creative projects.

Product marketer responsibilities include developing plans to help establish our brand, allocating resources to different projects and setting short-term and long-term department goals. If you’re a skilled Marketing strategist, able to inspire your team members, we’d like to meet you.

Ultimately, you will run our Marketing department in ways that promote higher profitability and competitiveness.

• Craft strategies for all Marketing teams, including Digital, Advertising, Communications and Creative
• Prepare and manage monthly, quarterly and annual budgets for the Marketing department
• Set, monitor and report on team goals
• Design branding, positioning and pricing strategies
• Ensure our brand message is strong and consistent across all channels and marketing efforts (like events, email campaigns, web pages and promotional material)
• Analyze consumer behavior and determine customer personas
• Identify opportunities to reach new market segments and expand market share
• Craft quarterly and annual hiring plans
• Monitor competition (acquisitions, pricing changes and new products and features)
• Coordinate sales and marketing efforts to boost brand awareness
• Participate in the quarterly and annual planning of company objectives