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Create Magic Together!

Be a part of us and observe how your skills are polished while working under the guidance of the experts.

Everything that makes Webmob the best!

We know that work is worship, but there are even other aspects that we take care of.

Global Clients

We strive to serve our clients with the best services and assistance around the globe.

Flexible Working Hours

We motivate employees to grow personally and professionally by maintaining flexible working hours.

Fun Activities

We organize trips and activities to cheer up our employees. As the saying goes, ' All work and no play make Jack a dull boy.'

Learning Atmosphere

We know that there's no end to learning, and that's why we inspire our employees to keep adding something new to their knowledge bank.

Current Openings

Senior QA Engineer (Automation)

Position: Senior QA Engineer (Automation)
Required Experience: 5 years
Salary: Good hike on CTC
Working Days: 5 days


Webmob Software Solutions
is a fintech company based in North India. We are leading service providers in the space of emerging technologies including Blockchain, AI, ML, IOT, and cloud computing. With a global, renowned clientele, we have developed several robust applications in the space of Trade Finance, Money Market, Asset Tokenization, and Supply Chain.


Webmob
is currently having expertise in Java, Kotlin, PHP, Python, Go, MEAN and MERN stack. Our specialties include Fintech product development, Blockchain development and consultancy, website development, graphic designing, digital marketing, application development, AWS support, infrastructure handling, IOT, AI, and ML.

Required Skills & Qualifications

  • Strong experience testing DeFi platforms and blockchain applications.
  • Good understanding of smart contracts, crypto transactions, wallets, and dApps.
  • Experience with automation frameworks and API testing.
  • Experience in QA for FinTech, Banking, Payments, or Trading platforms.
  • Strong knowledge of automation frameworks (Selenium, Cypress, Appium, Playwright).
  • Experience with AI-powered testing tools for load/performance analysis.
  • Hands-on experience with API testing and debugging tools.
  • Strong understanding of SDLC, STLC, Agile, and CI/CD processes.
  • Experience with version control (Git) and cloud environments (AWS, GCP, Azure).
  • Good understanding of microservices architecture and load balancing concepts.
  • Excellent analytical, problem-solving, and communication skills

Benefits:

  • Employee friendly policies.
  • Competitive salary with the best in the industry.
  • Immense exposure to new technologies.
  • 5 days week work.
AI/ML Engineer OR Data Scientist (Lead)

Position: AI/ML Engineer OR Data Scientist (Lead)
Required Experience: 4+ years
Location: Mohali (WFO)
Days: 5 days


Webmob Software Solutions
is a fintech company based in North India. We are leading service providers in the space of emerging technologies including Blockchain, AI, ML, IOT, and cloud computing. With a global, renowned clientele, we have developed several robust applications in the space of Trade Finance, Money Market, Asset Tokenization, and Supply Chain.


Webmob
is currently having expertise in Java, Kotlin, PHP, Python,Go, MEAN and MERN stack. Our specialties include Fintech product development, Blockchain development and consultancy, website development, graphic designing, digital marketing, application development, AWS support, infrastructure handling, IOT, AI, and ML.

Job Summary

We are seeking an accomplished and forward-thinking Lead AI/ML Engineer or Lead Data Scientist to spearhead the design, development, and deployment of advanced AI-driven solutions. This leadership role requires deep technical expertise in machine learning, strong programming capabilities, hands-on experience with modern AI frameworks, and the ability to guide and mentor technical teams. The ideal candidate will drive innovation while ensuring scalable, reliable, and high-performance AI systems aligned with business objectives.

Key Responsibilities

  • Lead the design, development, and deployment of advanced AI/ML models to solve complex business challenges.
  • Collaborate with cross-functional teams to translate business requirements into scalable data-driven solutions.
  • Architect and implement production-grade machine learning systems using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Perform advanced data preprocessing, cleaning, transformation, and feature engineering using Pandas and NumPy.
  • Optimize models for accuracy, scalability, performance, and interpretability.
  • Integrate AI/ML models into enterprise applications and production environments.
  • Establish and manage MLOps pipelines for model deployment, monitoring, and lifecycle management.
  • Lead integration and optimization of Large Language Models (LLMs) and generative AI systems.
  • Ensure model monitoring, validation, and continuous improvement for reliability and performance.
  • Mentor and guide junior engineers and data scientists, promoting best practices in coding, experimentation, and deployment.
  • Maintain thorough documentation and technical standards across AI initiatives.
  • Stay current with emerging AI, ML, and data engineering technologies.

Required Qualifications

  • Proven experience in a Lead or Senior AI/ML Engineer, Lead Data Scientist, or similar leadership role.
  • Strong proficiency in Python (mandatory) and/or R.
  • Extensive hands-on experience with Pandas and NumPy for data manipulation, analysis, and numerical computing.
  • Strong expertise in machine learning and deep learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.
  • Practical experience with Large Language Models (LLMs), LLM integration, and MLOps practices.
  • Experience building scalable AI solutions and deploying them on cloud platforms (AWS, Azure, or Google Cloud).
  • Solid understanding of data pipelines, model lifecycle management, and system architecture.
  • Excellent analytical thinking, problem-solving, and leadership skills.
  • Strong communication and stakeholder management capabilities.

Benefits:

  • Employee friendly policies.
  • Competitive salary with the best in the industry.
  • Immense exposure to new technologies.
  • 5 days week work