Tosca Engineer

iSchoolConnect is an online platform that makes the University Admissions process hassle-free, fun and accessible to students around the globe. Using our unique AI technology, we allow students to apply to multiple universities with a single application. iSchoolConnect also connects with institutions worldwide and aids them in the transformation of their end-to-end admission processes using our various cutting-edge use cases.

Designation : Senior Fullstack Developer

We are seeking an experienced and highly skilled Senior Full Stack Developer to join our growing development team. The ideal candidate will have extensive experience in building scalable, high-performance web applications and will be responsible for delivering robust backend services and modern, user-friendly frontend solutions. This role will also involve working with cloud services, databases, and ensuring the technical success of projects from inception to deployment.

Responsibilities:

• End-to-End Development: Lead the development and maintenance of both frontend and backend applications. Write clean, scalable, and efficient code for web applications.
• Backend Development: Develop RESTful APIs and microservices using technologies like Node.js, Express.js, and Nest.js.
• Frontend Development: Implement and maintain modern, responsive web applications using frameworks React, Angular, etc
• Database Management: Design and maintain scalable databases, including MongoDB and MySQL, to ensure data consistency, performance, and reliability.
• Cloud Services: Manage cloud infrastructure on AWS and Google Cloud, ensuring optimal performance, scalability, and cost-efficiency.
• Collaboration: Work closely with product managers, designers, and other engineers to deliver new features and improvements.
• Code Quality & Testing: Follow best practices for code quality and maintainability, utilizing Test-Driven Development (TDD), and write unit and integration tests using Jest, and Postman.
• Mentorship: Provide guidance to junior developers, perform code reviews, and ensure high standards of development across the team.

Requirements:

• Experience: 5+ years of hands-on experience in full stack development, with a proven track record in both backend and frontend development.
• Backend Technologies: Proficiency in Node.js, Express.js, and Nest.js for building scalable backend services and APIs.
• Frontend Technologies: Strong experience with React, Angular, etc to build dynamic and responsive user interfaces.
• Databases: Strong knowledge of both relational (MySQL) and NoSQL (MongoDB) databases.
• Cloud Infrastructure: Hands-on experience with AWS and Google Cloud for managing cloud services, databases, and deployments.
• Version Control: Proficient in Git for version control and collaboration.
• Testing: Experience in writing unit and integration tests with Jest, and Postman.
• Problem Solving: Strong analytical and problem-solving skills to work with complex systems.
• Communication: Excellent communication and teamwork skills, with the ability to collaborate cross-functionally.

Nice-to-Have:

• Experience with Docker, Kubernetes, and CI/CD tools.
• Familiarity with GraphQL and Microservices Architecture.
• Experience working in an Agile/Scrum environment.

About the Position

Our Expectations

• Strong knowledge of Microsoft Dynamics CRM architecture In-depth hands-on knowledge of the Microsoft Dynamics CRM platform, the entity model, security model, and Web services.

• Hands-on experience architecting solutions that involve CRM customization to include server side code, custom business logic, integration modules, workflow assemblies, and plug-ins. Experience of automating business processes with workflows

• Should be able to automate the CRM for converting the quote to order, which should be fetched from our websites or manual entry.

• Must Understand the functionality of Microsoft CRM Modules, Customizing Objects (Forms, Classes, Data Dictionary and Reporting)

• Should be well versed with Email Router Configuration and Reporting Extensions

• Customize the Ticketing Tool in CRM which should be used internally as well for clients

• Experience in implementation and integration between CRM with other tools like GP , AX etc

• Should have good written and verbal communication.

• Exposure to the following Great Plains Modules: Project management & accounting, Travel & Expenses, Procurement & Sourcing, Accounts Payable, Accounts Receivable, Inventory Management, Project management and accounting, Human Resources, System Administration.

• Involve in numerous customizations as per the client requirements in both Rich and Enterprise portal developments to enhance the standard functionality of Sales, Project management, and Expense, Home, Timesheets, Purchase and Inventory modules. Performed unit testing and prepared unit test documents.

• Exceptional communication, analytical, inter-personal and problem solving skills. Dedicated and highly ambitious to achieve personal as well as the organizational goals.

Must Have:

• 8+ years of experience with Microsoft Dynamics CRM (architecture, development, rollout, maintenance, data management, migration)

• C#

• SQL

• Proficient in English

• Functional requirement gathering, technical specification writing, system implementation, & integration development.

Salary as per Industry or 30% hike on current CTC

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

DATA SCIENTIST-MACHINE LEARNING                           

GormalOne LLP. Mumbai IN

Job Description

GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.

GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.

Location: Bangalore

Roles & Responsibilities

• Individual contributor
• Developing and maintaining an end-to-end data science project
• Deploying scalable applications on different platform
• Ability to analyze and enhance the efficiency of existing products

What are we looking for?

• 3 to 5 Years of experience as a Data Scientist
• Skilled in Data Analysis, EDA, Model Building, and Analysis.
• Basic coding skills in Python
• Decent knowledge of Statistics
• Creating pipelines for ETL and ML models.
• Experience in the operationalization of ML models
• Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
• Hands-on experience in Keras, PyTorch or Tensorflow

Basic Qualifications

• Tech/BE in Computer Science or Information Technology
• Certification in AI, ML, or Data Science is preferred.
• Master/Ph.D. in a relevant field is preferred.

Preferred Requirements

• Exp in tools and packages like Tensorflow, MLFlow, Airflow
• Exp in object detection techniques like YOLO
• Exposure to cloud technologies
• Operationalization of ML models
• Good understanding and exposure to MLOps

Kindly note: Salary shall be commensurate with qualifications and experience

• Design and build application for iOS platforms
• Writing well designed, testable, efficient code by using the best software development practices
• Responsible for working on iOS frameworks, Xcode, Swift, Rxswift, Xcode SDK Platform tools
• Responsible to work on bug fixing and improving application performance
• Create and maintain software documentation
• Stay plugged into emerging technologies/industry trends and apply them into operations and activities 

About Team:

CaratLane's mission is to help customers express their emotions through jewellery. Consumer Experience Technology team is an enabler to deliver the exceptional Consumer Experience and WoW business features in large scale website, apps and backend systems.

What do we want:

* 5 to 8 years of experience in Java and Spring Boot working with large scale backend applications

* Expertise in PostgreSQL and any of caching databases

* Experience in developing RESTful/GraphQL APIs and microservices based applications

* Good problem solving and debugging skills.

* Exposure on event-driven, asynchronous I/O

* Good knowledge of engineering excellence: Unit Testing/TDD, Code quality, Documentation, CI&CD

* Experience in non-functional requirements (Scalability, Performance optimisation, Security)

* Experience is Linux development and AWS ecosystem tools

QA Engineer - Automation:

We are looking for a candidate who will be an agent of change and who will drive and execute based on our Quality and Reliability Transformation Roadmap. He/She will be responsible for testing Education Service domains across platforms, automation of functional/regression and RFB (sanity) service test suites, Continuous Integration/Continuous Delivery pipeline and Shift Left methodologies. We will also expect the candidate to take ownership of a functional domain and play a hands-on role in the execution of testing for projects in this area.

The candidate should have extensive experience in testing, testing automation, testing leadership and software development. The candidate should be proficient in-service automation testing tools like Eclipse, IDNE, Jenkins, GIT hub. The candidate should have at least 4-8 years of service testing or software development experience.

The candidate should be flexible, highly adaptable and an excellent team player. The candidate is expected to work with Agile teams that consist of test analysts, developers, automation engineers and other stake holders. The candidate should expect to work in a global virtual team, sometimes across multiple time zones. The candidate may be assigned to more than one role or project at a time.  

QA Engineer - Automation Responsibilities:

• Create automation plan and delivery roadmaps
• Develop test automation solutions for applications across different platforms
• Adhere to existing standards; provide suggestion to improve and set new standards
• Participate in technical discussions with engineering teams to understand application architecture and API model
• Collaborate with QA Engineers and Software Developers to identify test automation scope and priorities
• Configure, maintain, and operate service test automation tools and frameworks
• Capture requirements and test cases, understand application features, analyse requirements and develop test automation solution with a view of the end to end application flow
• Design and create robust automated test scripts to address business and technical use cases
• Integrate test automation scripts with Continuous Integration and Delivery pipeline
• Communicate progress to the senior leadership on a regular basis
• Should have Education Service domain and application knowledge

QA Engineer - Automation Requirements: 

• A Bachelor's degree in Computer Science or related field
• 4-8 years’ experience working as a Service Test Automation Engineer
• Experience in collaborating effectively across a variety of IT and business groups, across regions, roles, and able to interact effectively with all levels
• Proven record of execution of QA strategy and unification of QA processes across organization
• Must have hands-on experience with Selenium automation using Java
• Working knowledge of any Relational Database and DB Queries.
• Working knowledge of tool and technologies like Jenkins, GIT, JIRA and ALM
• Well versed with approaches like BDD, Keyword Driven, Data Driven and hybrid Driven test automation.
• Good to have understanding of model-based testing.
• Understanding of Agile/Waterfall development process and is comfortable diving into the technical architecture of complex and highly scalable solutions
• Excellent leadership, communication (written and oral) and interpersonal skills. Experience in presenting to diverse audiences and conducting education and training.
• Have deep experience in defining and developing the service test automation framework.
• Development background is a major plus.
• knowledge of Rest, SOAP, MQ and microservices. (Nice to Have)

Role and Responsibilities

A Quantitative Strategist/Quantitative Trader profile at QuantX requires rigorous quantitative aptitude and go-get attitude.

• Deployment of quantitative models in Indian Equity and Derivatives markets to generate returns.
• Management of Quantitative Trading Programs.
• Data Analysis

Requirements

Education (Candidate should satisfy one of the following)

• B.Sc./M.Sc. Mathematics or B.Sc./M.Sc. Statistics from a reputed college with good grades
• Tech with good grades and strong quantitative aptitude
• CFA/FRM Level 1 cleared
• Any other degree with Financial Derivatives as a subject and through knowledge of Derivative Greeks (Portfolio Level, Risk Management, Hedging)  

Skills

• Exceptional Quantitative Aptitude
• Psychological composure and Logical/Objective decision making
• Comfortable working on computer programs

Preferences

Following skill sets are not required but candidate will get preference if he/she possesses any of the following:

• Working knowledge of python for historical data analysis or working on real-time analytics getting feed from a web API (Data structures, numpy, scikit-learn, tensor flow)
• MATLAB/R for Time series analysis
• Knowledge of AFL ( Amibroker Formula Language)

Advantages

• Steep learning curve
• Extensive training on mathematics of derivatives market
• Dynamic work environment(Everyday is different in its own way)
• Very small team and merit based growth
• Best in class Quarterly bonuses and revenue share post training period(where bonus can surpass the base salary)

Pay Structure

• Extensive training period(probation period) of 2 months(Stipend Paid during training period INR 10,000)
• Pay Structure post the training period:

Junior Trader:

Base Salary I + 5% of Revenue share

       Senior Trader:

(Base Salary I + 27% hike) + 10% of Revenue Share

Working Hours

We neither believe in staying unnecessary in office if there's nothing productive to be done nor do we believe in long unproductive lunch breaks

• Standard Market Hours
• Training Pre and Post market hours
• Our doors are open till the time you are working

Selection Process

• Quantitative Aptitude Test 
• Psychometric Test
• Personal Interview
• Super Day (Hands on work on high paced advance programs)