Graphics Designer (Client Location)

Required skills and experience

• Bachelor's degree, Computer Science, Engineering or other similar concentration (BE/MCA)

• Master’s degree a plus

• 3-8 years’ experience in Production Support/ Application Management/ Application Development (support/ maintenance) role.

• Excellent problem-solving/troubleshooting skills, fast learner

• Strong knowledge of Unix Administration.

• Strong scripting skills in Shell, Python, Batch is must.

• Strong Database experience – Oracle

• Strong knowledge of Software Development Life Cycle

• Power shell is nice to have

• Software development skillsets in Java or Ruby.

• Worked upon any of the cloud platforms – GCP/Azure/AWS is nice to have

JOB DESCRIPTION:

Location: mumbai

Mode of Work : 3 days from Office

DSA(Collections, Hash maps, trees, Linkedlist and Arrays, etc), Core Oops concepts(Multithreading, Multi Processing, Polymorphism, Inheritance etc) Annotations in Spring and Spring boot, Java 8 Vital features, database Optimization, Microsevices and Rest API

• Design, develop, and maintain low-latency, high-performance enterprise applications using Core Java (Java 5.0 and above).
• Implement and integrate APIs using Spring Framework and Apache CXF.
• Build microservices-based architecture for scalable and distributed systems.
• Collaborate with cross-functional teams for high/low-level design, development, and deployment of software solutions.
• Optimize performance through efficient multithreading, memory management, and algorithm design.
• Ensure best coding practices, conduct code reviews, and perform unit/integration testing.
• Work with RDBMS (preferably Sybase) for backend data integration.
• Analyze complex business problems and deliver innovative technology solutions in the financial/trading domain.
• Work in Unix/Linux environments for deployment and troubleshooting.

Required Skills & Experience:

• 3– 7 years of strong hands-on experience in Core Java, Spring boot, microservices, data structures.
• Deep understanding of Object-Oriented Programming (OOP), data structures, algorithms, and design patterns.
• Proven experience with Spring, CXF, and REST/SOAP web services.
• Solid understanding of microservices architecture and distributed systems.
• Experience working with Sybase or other relational databases.
• Expertise in multithreading, concurrency, and high-throughput server-side development.
• Exposure to capital markets, sales & trading platforms, or similar financial services applications.
• Good working knowledge of Unix/Linux environments.
• Experience in solution architecture and design documentation is a strong plus.
• Strong problem-solving skills, analytical thinking, and a proactive attitude.
• Excellent communication and interpersonal skills to work effectively with global teams.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Previous experience in investment banking, capital markets, or financial technology domains.

Job Description

We are looking for a Data Scientist with 3–5 years of experience in data analysis, statistical modeling, and machine learning to drive actionable business insights. This role involves translating complex business problems into analytical solutions, building and evaluating ML models, and communicating insights through compelling data stories. The ideal candidate combines strong statistical foundations with hands-on experience across modern data platforms and cross-functional collaboration.

What will you need to be successful in this role?

Core Data Science Skills

• Strong foundation in statistics, probability, and mathematical modeling

• Expertise in Python for data analysis (NumPy, Pandas, Scikit-learn, SciPy)

• Strong SQL skills for data extraction, transformation, and complex analytical queries

• Experience with exploratory data analysis (EDA) and statistical hypothesis testing

• Proficiency in data visualization tools (Matplotlib, Seaborn, Plotly, Tableau, or Power BI)

• Strong understanding of feature engineering and data preprocessing techniques

• Experience with A/B testing, experimental design, and causal inference

Machine Learning & Analytics

• Strong experience building and deploying ML models (regression, classification, clustering)

• Knowledge of ensemble methods, gradient boosting (XGBoost, LightGBM, CatBoost)

• Understanding of time series analysis and forecasting techniques

• Experience with model evaluation metrics and cross-validation strategies

• Familiarity with dimensionality reduction techniques (PCA, t-SNE, UMAP)

• Understanding of bias-variance tradeoff and model interpretability

• Experience with hyperparameter tuning and model optimization

GenAI & Advanced Analytics

• Working knowledge of LLMs and their application to business problems

• Experience with prompt engineering for analytical tasks

• Understanding of embeddings and semantic similarity for analytics

• Familiarity with NLP techniques (text classification, sentiment analysis, entity,extraction)

• Experience integrating AI/ML models into analytical workflows

Data Platforms & Tools

• Experience with cloud data platforms (Snowflake, Databricks, BigQuery)

• Proficiency in Jupyter notebooks and collaborative development environments

• Familiarity with version control (Git) and collaborative workflows

• Experience working with large datasets and distributed computing (Spark/PySpark)

• Understanding of data warehousing concepts and dimensional modeling

• Experience with cloud platforms (AWS, Azure, or GCP)

Business Acumen & Communication

• Strong ability to translate business problems into analytical frameworks

• Experience presenting complex analytical findings to non-technical stakeholders

• Ability to create compelling data stories and visualizations

• Track record of driving business decisions through data-driven insights

• Experience working with cross-functional teams (Product, Engineering, Business)

• Strong documentation skills for analytical methodologies and findings

Good to have

• Experience with deep learning frameworks (TensorFlow, PyTorch, Keras)

• Knowledge of reinforcement learning and optimization techniques

• Familiarity with graph analytics and network analysis

• Experience with MLOps and model deployment pipelines

• Understanding of model monitoring and performance tracking in production

• Knowledge of AutoML tools and automated feature engineering

• Experience with real-time analytics and streaming data

• Familiarity with causal ML and uplift modeling

• Publications or contributions to data science community

• Kaggle competitions or open-source contributions

• Experience in specific domains (finance, healthcare, e-commerce)

The ideal candidate will have at least 2 years of experience in developing scalable and responsive web

applications, and will be able to work collaboratively with other developers and stakeholders to deliver

high-quality software products.

Responsibilities

● Develop and maintain responsive and scalable web applications using React and JavaScript

● Write clean, efficient, and maintainable code that adheres to coding standards and best practices

● Collaborate with other developers and stakeholders to design and implement software solutions

that meet business requirements

● Work with UX/UI designers to implement user interfaces that are intuitive and visually appealing

● Optimize web applications for maximum speed and scalability

● Participate in code reviews, testing, and debugging to ensure that the software meets quality

standards

● Stay up-to-date with the latest industry trends and technologies, and make recommendations to

the company on how to best incorporate them into its products and services

● Proficient in client & server-side JavaScript, HTML5, CSS3 and webpack

● Competent in building single page web applications using Node.js and React Js

● Redux for state management

● Universal rendering (Client-side rendering and Server-side rendering)

● Experience with cross-browser, cross-platform, and design constraints on the web

● Experience in developing automated unit and functional tests

● Experience in an agile development process

● Solid knowledge of algorithms and design patterns

● Have a passion for quality and writing clean, readable code that scales and performs well

● Good interpersonal communication skills

Desired Candidate Profile

● At least 2 years of experience in developing web applications using React/NextJS/VueJs and

JavaScript

Job Role: Java SpringBoot Developer

Job Description:

• Should have expertise in Core Java, Java & J2ee
• Built MVC based Web Application Using JSP/Struts framework
• Hands on experience of OOPS concepts, Hibernate and Spring version 3.x 1, Spring Boot
• Hands on experience of Application Servers like Tomcat and WebLogic.
• Hands on experience of Restful services and Web services
• Experience in deploying Spring boot in Micro services
• Good verbal and written communication
• Excellent team player, ability to work in a global team and follow through on deadlines

Primary Skills:

• Core Java, Java & J2ee
• Spring Boot

Responsibilities:

• Developing new user-facing features using JavaScript framework React JS.
• Building reusable components and front-end libraries for future use.
• Translating designs and wireframes into high-quality code which works across platforms.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.
• Should be able to take initiatives and ownership and build the products from scratch.
• Maintain code and write automated tests to ensure the product is of the highest quality.

Requirements:

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Thorough understanding of React.js, JavaScript, HTML, CSS and its core principles.
• Experience with popular React.js workflows (such as Flux or Redux).
• Familiarity with newer specifications of ECMAScript.
• Experience with data structure libraries (e. g., Immutable.js ).
• Knowledge of isomorphic React is a plus.
• Familiarity with RESTful APIs.
• Knowledge of functional and object-oriented programming.
• Knowledge of modern authorization mechanisms, such as JSON Web Token.
• Familiarity with modern front-end build pipelines and tools.
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements.
• A knack for benchmarking and optimization.
• Familiarity with code versioning tools such as GIT.

• Create regional sales plans and quotas in alignment with business objectives
• Self-driven individual with revenue closing experience and pipeline building
• Identify and qualify high ticket deals and opportunities.
• Must have knowledge on leading cloud services like AWS/Azure/Digital Ocean
• Support sales with day-to-day sales operation
• Evaluate individual performances
• Report on regional sales results
• Forecast weekly/Monthly/quarterly with Sales pipeline and closures
• Identify hiring needs, select and train new salespeople
• Prepare and review the annual budget for the area of responsibility
• Analyze regional market trends and discover new opportunities for growth
• Address potential problems and suggest prompt solutions
• Participate in decisions for expansion
•