Membership Ambassador

Role & Responsibilities

·      Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources

·      Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns

·      Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling

·      Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems

·      Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams

·      Develop a deep understanding of the business domain and the underlying data that represents it — including what each field means, how it is captured, and what its limitations are

·      Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting

·      Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise

·      Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis

·      Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques

·      Develop data-driven recommendations backed by rigorous statistical reasoning

·      Write clean, production-ready code in Python or R

·      Collaborate with data engineers to build reliable data pipelines and feature stores

·      Deploy and monitor ML models using MLOps best practices on cloud infrastructure

·      Build dashboards and self-serve analytics tools to support stakeholder decision-making

Data Understanding & Analysis Skills

·      Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks

·      Experience working with messy, incomplete, or poorly documented real-world data

·      Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration

·      Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected

·      Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset

·      Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding

·      Comfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats

Technical Skills Required

·      Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R

·      Strong SQL skills with hands-on experience in DB2 and SQL Server

·      Experience with Databricks for large-scale data processing, feature engineering, and model training

·      Familiarity with cloud platforms: Azure or AWS

·      Experience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)

·      Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow

·      Experience with streaming data technologies such as Kafka or Spark

·      Solid foundation in probability, statistics, linear algebra, and experimental design

Nice to Have

·      Experience with deep learning, NLP, computer vision, or Bayesian methods

·      Familiarity with real-time or streaming data pipelines

·      Open-source contributions or published research

Primary duties and responsibilities include:

·         Candidate should be able to work independently with client and should possess excellent written and verbal communication skills.

·         Work closely with experienced integration, frontend, or backend development teams

·         Contribute to estimation and scoping of projects

·         Work on presales environment for checking feasibilities for customer requirement.

Required Experience

·         Bachelor’s degree in Computer Science, or equivalent work experience

·         8 to 10 years of programming experience—preferably with Java 8+, and other tool support

·         5 years of Java # 6 experience

·         Should have experience in executing project independently.

·         Demonstrated ability of Design Patterns and to write efficient, reusable rest services and libraries

·         Experience with agile software development methodologies and software development best practices, pair programming and CI/CD

·         Excellent written and verbal communication skills

·         Excellent analytical skills for solution building of customer requirements.

·         Good knowledge of datastores (RDBMS, Oracle, SQL)

·         Must have in depth understanding of the L1, L2, L3 support environment.

·         Experience in Java, JavaScript, CSS, HTML, XML and other web technologies

·         Strong understanding of network OS and system configurations.

·         Familiarization with OSLC and REST APIs

·         Ability to successfully lead offshore development teams and work in global delivery model- US, India, Germany

·         Knowledge of LDAP

·         Experience with Microsoft Office products- Word, Excel, Powerpoint

·         Experience with other Requirements Management Tools (Polarion, PTC Integrity) will be a value add

Preferred Experience

·         Understanding of high-availability, fault-tolerant, scalable, distributed systems

·         Working knowledge of iText 7, OpenFeign, RabbitMQ/JMS, Mockito and jUnit/nUnit, Spring Cloud


Salary is not constriant. Candidate should have interest to new things.

Fullstack Developer/Architect/Programmer:

1. 8-10 years experience as Developer/Programmer.
2. Should have an expertise in Core Java, Java & J2ee
3. Built MVC based Web Application Using JSP/Struts framework
4. Experience in Webservices-Restful
5. Experience in Application Servers like Tomcat and WebLogic
6. Good Knowledge of implementing JMS messaging services
7. Good knowledge of HTML5,CSS and JavaScript – Angular.js,Bootstrap, React.js
8. Should have skills in Spring 3.x, Hibernate, Weblogic 12c Implementation

We are looking for a highly skilled computer programmer who is comfortable with both front and back end programming. Full Stack Developer will responsible for developing and designing front end web architecture, ensuring the responsiveness of applications and working alongside graphic designers for web design features, among other duties.Full Stack Developer will be required to see out a project from conception to final product, requiring good organizational skills and attention to detail.

Responsibilities

• Developing front end website architecture.
• Designing user interactions on web pages.
• Developing back end website applications.
• Creating servers and databases for functionality.
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Working alongside graphic designers for web design features.
• Seeing through a project from conception to finished product.
• Designing and developing APIs.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.

Qualifications

• Bachelor's degree
• 1-5 years of experience in programming
• Strong communication, conceptual thinking, typography skills and design skills
• Portfolio of work