Mandatory (Total Experience): Must have 5+ years of overall experience in Testing/QA
Mandatory (Experience 1): Must have 2+ years of experience in testing AI/ML models and data-driven applications, across NLP, recommendation engines, fraud detection, and advanced analytics models
Mandatory (Experience 2): Must have expertise in validating AI/ML models for accuracy, bias, explainability, and performance, ensuring decisions are fair, reliable, and transparent
Mandatory (Experience 3): Must have strong experience to design AI/ML test strategies, including boundary testing, adversarial input simulation, and anomaly monitoring to detect manipulation attempts by marketplace users (buyers/sellers)
Mandatory (Tools & Frameworks): Proficiency in AI/ML testing frameworks and tools (like PyTest, TensorFlow Model Analysis, MLflow, Python-based data validation libraries, Jupyter) with the ability to integrate into CI/CD pipelines
Mandatory (Business Awareness): Must understand marketplace misuse scenarios, such as manipulating recommendation algorithms, biasing fraud detection systems, or exploiting gaps in automated scoring
Mandatory (Communication Skills): Must have strong verbal and written communication skills, able to collaborate with data scientists, engineers, and business stakeholders to articulate testing outcomes and issues.
Mandatory (Education):Degree in Engineering, Computer Science, IT, Data Science, or a related discipline (B.E./B.Tech/M.Tech/MCA/MS or equivalent)
Mandatory Location: Candidate must be based within Delhi NCR (100 km radius)
Preferred
Preferred (Certifications): Certifications such as ISTQB AI Testing, TensorFlow, Cloud AI, or equivalent applied AI credentials are an added advantage.
Shubham Vishwakarma
Full Stack Developer - Averlon
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PythonJob Summary
We are looking for an experienced Python DBA with strong expertise in Python scripting and SQL/NoSQL databases. The candidate will be responsible for database administration, automation, performance optimization, and ensuring availability and reliability of database systems.
Key Responsibilities
- Administer and maintain SQL and NoSQL databases
- Develop Python scripts for database automation and monitoring
- Perform database performance tuning and query optimization
- Manage backups, recovery, replication, and high availability
- Ensure data security, integrity, and compliance
- Troubleshoot and resolve database-related issues
- Collaborate with development and infrastructure teams
- Monitor database health and performance
- Maintain documentation and best practices
Required Skills
- 10+ years of experience in Database Administration
- Strong proficiency in Python
- Experience with SQL databases (PostgreSQL, MySQL, Oracle, SQL Server)
- Experience with NoSQL databases (MongoDB, Cassandra, etc.)
- Strong understanding of indexing, schema design, and performance tuning
- Good analytical and problem-solving skills
NodeJS (Node.js)
React.js
Javascript
Go Programming (Golang)Job Description – Full Stack Developer (React + Node.js)
Experience: 5–8 Years
Location: Pune
Work Mode: WFO
Employment Type: Full-time
About the Role
We are looking for an experienced Full Stack Developer with strong hands-on expertise in React and Node.js to join our engineering team. The ideal candidate should have solid experience building scalable applications, working with production systems, and collaborating in high-performance tech environments.
Key Responsibilities
- Design, develop, and maintain scalable full-stack applications using React and Node.js.
- Collaborate with cross-functional teams to define, design, and deliver new features.
- Write clean, maintainable, and efficient code following OOP/FP and SOLID principles.
- Work with relational databases such as PostgreSQL or MySQL.
- Deploy and manage applications in cloud environments (preferably GCP or AWS).
- Optimize application performance, troubleshoot issues, and ensure high availability in production systems.
- Utilize containerization tools like Docker for efficient development and deployment workflows.
- Integrate third-party services and APIs, including AI APIs and tools.
- Contribute to improving development processes, documentation, and best practices.
Required Skills
- Strong experience with React.js (frontend).
- Solid hands-on experience with Node.js (backend).
- Good understanding of relational databases: PostgreSQL / MySQL.
- Experience working in production environments and debugging live systems.
- Strong understanding of OOP or Functional Programming, and clean coding standards.
- Knowledge of Docker or other containerization tools.
- Experience with cloud platforms (GCP or AWS).
- Excellent written and verbal communication skills.
Good to Have
- Experience with Golang or Elixir.
- Familiarity with Kubernetes, RabbitMQ, Redis, etc.
- Contributions to open-source projects.
- Previous experience working with AI APIs or machine learning tools.
Machine Learning (ML)PythonJob Overview:
As a Technical Lead, you will be responsible for leading the design, development, and deployment of AI-powered Edtech solutions. You will mentor a team of engineers, collaborate with data scientists, and work closely with product managers to build scalable and efficient AI systems. The ideal candidate should have 8-10 years of experience in software development, machine learning, AI use case development and product creation along with strong expertise in cloud-based architectures.
Key Responsibilities:
AI Tutor & Simulation Intelligence
- Architect the AI intelligence layer that drives contextual tutoring, retrieval-based reasoning, and fact-grounded explanations.
- Build RAG (retrieval-augmented generation) pipelines and integrate verified academic datasets from textbooks and internal course notes.
- Connect the AI Tutor with the Simulation Lab, enabling dynamic feedback — the system should read experiment results, interpret them, and explain why outcomes occur.
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Platform & System Architecture
- Lead the development of a modular, full-stack platform unifying courses, explainers, AI chat, and simulation windows in a single environment.
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- Drive performance, scalability, and platform stability — every millisecond and every click should feel seamless.
Reliability, Security & Analytics
- Establish system observability and monitoring pipelines (usage, engagement, AI accuracy).
- Build frameworks for ethical AI, ensuring transparency, privacy, and student safety.
- Set up real-time learning analytics to measure comprehension and identify concept gaps.
Leadership & Collaboration
- Mentor and elevate engineers across backend, ML, and front-end teams.
- Collaborate with the academic and product teams to translate physics pedagogy into engineering precision.
- Evaluate and integrate emerging tools — multi-modal AI, agent frameworks, explainable AI — into the product roadmap.
Qualifications & Skills:
- 8–10 years of experience in software engineering, ML systems, or scalable AI product builds.
- Proven success leading cross-functional AI/ML and full-stack teams through 0→1 and scale-up phases.
- Expertise in cloud architecture (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
- Experience designing microservices and API ecosystems for high-concurrency platforms.
- Strong knowledge of LLM fine-tuning, RAG pipelines, and vector databases (Pinecone, Weaviate, etc.).
- Demonstrated ability to work with educational data, content pipelines, and real-time systems.
Bonus Skills (Nice to Have):
- Experience with multi-modal AI models (text, image, audio, video).
- Knowledge of AI safety, ethical AI, and explain ability techniques.
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ProgrammingMachine Learning (ML)
Data AnalyticsWe are seeking a motivated AI Engineer who is passionate about exploring the future of artificial intelligence and eager to transition into the IT field. This role is ideal for individuals with a career gap who have undergone professional training in AI and are looking to apply their skills in a dynamic environment.
Job Responsibilities
- Develop AI Models: Design and implement machine learning algorithms and deep learning models to extract insights from large datasets.
- Collaborate with Teams: Work closely with cross-functional teams to identify business needs and integrate AI solutions that enhance operational efficiency.
- Research and Experimentation: Conduct experiments to improve AI system performance and stay updated with the latest advancements in AI technologies.
- Documentation: Maintain comprehensive documentation for AI models, algorithms, and processes.
Qualifications
- Education: A bachelor’s degree in Computer Science, Engineering, or a related field is preferred.
- Training: Completion of professional training programs in AI, machine learning, or data science.
- Programming Skills: Proficiency in programming languages such as Python or R, with experience in data processing techniques.
- Analytical Skills: Strong problem-solving abilities and a keen analytical mindset.
Desired Attributes
- A genuine interest in the evolving landscape of AI technologies.
- Willingness to learn and adapt in a fast-paced environment.
- Excellent communication skills for effective collaboration within teams.
This position offers a unique opportunity for those looking to pivot their careers into IT while contributing to innovative AI projects. If you are ready to embrace this challenge, we encourage you to apply!
Data ScienceMachine Learning (ML)PythonCarsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.
Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform.
You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.
Job Descriptions
- Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
- Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing.
- Identify, prioritize, and design testing opportunities that will inform algorithm enhancements.
- Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
- Unlock insights by analyzing large amounts of complex website traffic and transactional data.
- Implement analytical models into production by collaborating with data analytics engineers.
Technical Requirements
- Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
- Machine Learning / Data Science Certification
Experience & Education
- Bachelor’s in Engineering / Master’s in Data Science / Postgraduate Certificate in Data Science.
HTML/CSSJavascript5+ years of experience in Content Management Systems in general, with at least 3+ yrs. of specific Sitecore experience required. Sitecore 8.X+ experience is ideal.
· Bachelor's in computer science, software engineering or similar
· Hands-on Sitecore development experience.
· The .NET Framework including Visual Studio, C#, and ASP.NET MVC with an understanding of the basics of front end technologies.
· Client-side browser technologies including JavaScript, CSS, and HTML, Responsive Web Design, JQuery and other front end development tools. Experience with Agile methodologies
· Experience with REST, Web Services, Web application frameworks
· Experience with build automation tools
· Experience in TDD and software testing frameworks
· Knowledge of IDEs and source control management (ideally TFS, GIT, SVN or similar)
· Strong adherence to a consistent delivery methodology and associated deliverable generation
- HIL testing with dSPACE, Software in loop validations
- Vector tools (CANape & CANalyzer)
- Service tools like ET, EST, EDT, and other tools including CADetWIN, CAT ET, Forcast, ESP.
- Knowledge and experience in protocols including J1939, CAN, CDL (Internal) and Ethernet
- Understanding and Hands-on experience with HIL hardware/harness
- Automation logics, Python, CCAT scripting, Simulators, Control and Automation desk
Experience, responsibilities, expectations from role:
- 3-4 years of Validation or Automation Experience.
- Ability to work in a product development organization with strong focus on Quality and delivery as per commitment to customers.
- Passion to delve into complex existing code, product modules and come up with the optimal solution for the problem at hand.
- Willingness to be flexible and stretch when there are critical needs within the organization.
- Excellent communication and team working skills which is expected among a global team set up.
- Develop the Test plans, validate the Features.
- Perform Regression, Mandatory & Change specific validation.
- Investigate and Support DSN team on the issues reported from the customers in the field.
- Able write the Python Scripts by looking into the Test plans.
- Acquaintance of CANape, CANalyzer Tools, MRET test setup’s
Python
JavaJavascriptReact.js
Angular (2+)The project is for a global site that has over 50 Million users and can be a mix of WFH as well as work from the office.
As a full-time senior developer, you will be working directly with the client; Hence good communication skills will be a bonus.
Your primary roles & responsibilities will include but are not limited to the following points -
1. Build new features for the back end in PERL
2. Help clean up old code
3. Testing systems before going live
Some basics which will be appreciated -
Good analytic capabilities, ability to learn quickly and interpersonal skills, Abstraction capability, and logical thinking
Customer-focused behavior, proactive action, and initiative, and the Capability to collaborate with colleagues with responsibility and respect.
Social competence: the ability to work in teams and excellent communication skills
You must have BE / B.Tech / MCA / ME / M.Tech qualification with 6 - 10 years of experience in Maintenance roles in Software Engineering, especially in a professional software products, solid java knowledge
Powerful core java and Java/J2EE knowledge
Confirmed Knowledge or experience in J2EE, Web-Services (REST and SOAP), JPA/ORM (like hibernate/eclipse link), Database (Oracle / My SQL / PostgreSQL) with exposure towards HTML/CSS, JavaScript, or JSF
Knowledge or Experience in JSF/Vaadin, Junit, Maven, EJB, JavaScript, HTML, CSS will be an advantage
Vue.js
AngularJS (1.x)Angular (2+)React.jsJavascriptWhat You'll Do
- As an early member of our engineering team, you will work directly with the CTO and Head of Product to spec, design, and build the core product functionality
- Help us build out a reliable team in India that knows our tech stack and is passionate about the work that we do.
- Motivate and lead a team of software developers to reach and exceed company goals.
- Solve problems you don't know how to solve: You'll encounter challenges we haven't yet come across yet. And when the time comes, you'll think through problems, evaluate approaches and teach yourself whatever is needed.
- Lay a solid foundation for the product to scale, keep our technical debt in check and help us hire a team of incredible engineers.
What We're Looking For
- 6+ years of experience as a software engineer
- 1+ years of experience leading projects or teams of engineers
- Hustle & Grit. Willingness and desire to take on personal responsibility for the business as a whole and “figure it out”, whether it’s in your exact functional lane or not.
- Excitement and passion for expanding financial access to healthcare.
- Experience with Java, a relational database, React (or a comparable front-end framework) and building full-stack web apps.
- A great understanding of how Restful services and Gradle works
- Ability to overlap with EST morning hours
- Our full tech stack includes: Docker, Spring, Gradle, Hibernate, ExpressJS, NextJS, Amazon Web Services, Java, N8N, Python
Kubernetes
Docker
Amazon Web Services (AWS)Role and responsibilities
- Expertise in AWS (Most typical Services),Docker & Kubernetes.
- Strong Scripting knowledge, Strong Devops Automation, Good at Linux
- Hands on with CI/CD (CircleCI preferred but any CI/CD tool will do). Strong Understanding of GitHub
- Strong understanding of AWS networking and. Strong with Security & Certificates.
Nice-to-have skills
- Involved in Product Engineering
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Full Stack Developer - Averlon