Database Architect

Job Title: Data Scientist

Location: Bangalore (Hybrid/On-site depending on project needs)

About the Role

We are seeking a highly skilled Data Scientist to join our team in Bangalore. In this role, you will take ownership of data science components across client projects, build production-ready ML and GenAI-powered applications, and mentor junior team members. You will collaborate with engineering teams to design and deploy impactful solutions that leverage cutting-edge machine learning and large language model technologies.

Key Responsibilities

ML & Data Science

• Develop, fine-tune, and evaluate ML models (classification, regression, clustering, recommendation systems).
• Conduct exploratory data analysis, preprocessing, and feature engineering.
• Ensure model reproducibility, scalability, and alignment with business objectives.

GenAI & LLM Applications

• Prototype and design solutions leveraging LLMs (OpenAI, Claude, Mistral, Llama).
• Build RAG (Retrieval-Augmented Generation) pipelines, prompt templates, and evaluation frameworks.
• Integrate LLMs with APIs and vector databases (Pinecone, FAISS, Weaviate).

Product & Engineering Collaboration

• Partner with engineering teams to productionize ML/GenAI models.
• Contribute to API development, data pipelines, technical documentation, and client presentations.

Team & Growth

• Mentor junior data scientists and review technical contributions.
• Stay up to date with the latest ML & GenAI research and tools; share insights across the team.

Required Skills & Qualifications

• 4.5–9 years of applied data science experience.
• Strong proficiency in Python and ML libraries (scikit-learn, XGBoost, LightGBM).
• Hands-on experience with LLM APIs (OpenAI, Cohere, Claude) and frameworks (LangChain, LlamaIndex).
• Strong SQL, data wrangling, and analysis skills (pandas, NumPy).
• Experience working with APIs, Git, and cloud platforms (AWS/GCP).

Good-to-Have

• Deployment experience with FastAPI, Docker, or serverless frameworks.
• Familiarity with MLOps tools (MLflow, DVC).
• Experience working with embeddings, vector databases, and similarity search.

• Technical expertise in the area of development of Master Data Management, data extraction, transformation, and load (ETL) applications, big data using existing and emerging technology platforms and cloud architecture

• Functions as lead developer• Support System Analysis, Technical/Data design, development, unit testing, and oversee end-to-end data solution.

• Technical SME in Master Data Management application, ETL, big data and cloud technologies                                                                                               

• Collaborate with IT teams to ensure technical designs and implementations account for requirements, standards, and best practices                                                                                           

• Performance tuning of end-to-end MDM, database, ETL, Big data processes or in the source/target database endpoints as needed.                                                               

• Mentor and advise junior members of team to provide guidance.                                                  

• Perform a technical lead and solution lead role for a team of onshore and offshore developers

Wissen Technology is now hiring for a Java Developer

Location : Bangalore (The candidate must be based in Bangalore, as an in-person interview is a mandatory part of the selection process)

Notice Period: Immediate to Serving Notice Period & Up to 30 Days max

Skills: Hands-on experience in Core Java, Spring Boot, Microservices, Algorithms, Data Structure and SQL

Note: Bachelor's or Master's degree from a top-tier college or university is must.

Key Responsibilities:

• Design, develop, and test low-latency, high-volume client-facing applications.
• Develop and maintain enterprise-scale, n-tier applications for the investment banking/capital markets domain.
• Implement microservices-based solutions using Spring Boot and other modern frameworks.
• Work extensively with Core Java 5.0 and above, Spring Framework, and CXF
• Optimize applications for multi-threading and high-performance server-side development
• Collaborate with cross-functional teams to design and implement scalable, secure, and efficient solutions
• Work with RDBMS (preferably Sybase) to handle large-scale data processing.
• Develop and maintain applications on Unix/Linux environments
• Utilize enterprise application design patterns to build robust and scalable solutions.
• Troubleshoot and resolve complex technical issues while ensuring application stability and performance.

Required Skills & Experience:

• 1 to 6 years of hands-on experience in Java development
• Strong knowledge of microservices architecture and cloud-based deployment.
• Expertise in Spring Framework, Spring Boot, and CXF
• Experience in developing and optimizing applications for high-volume, multi-threaded environments
• Solid understanding of financial domain applications, sales, and trading platforms
• Proficiency in working with relational databases (Sybase preferred)
• Familiarity with Unix/Linux environments and shell scripting.
• Strong analytical, problem-solving, and communication skills.
• Ability to articulate and present design ideas effectively.
• Education: Bachelor's or Master's degree from a top-tier college or university is must.

Job Description:

• Prospecting, generating, qualifying, and following up on leads and appointment setting for external sales team
• Direct email marketing/cold calling to key clients and prospects
• Collaboratively work with the sales, marketing team to develop lead generation strategies to generate lead opportunities with prospective customers
• Initiates lead/demand generation strategies that include inbound/outbound sales and marketing campaigns and initiatives
• Research, track, maintain and update leads
• Develop a strong knowledge of the company’s products and services to facilitate the sales process
• Achieving sales lead generation and appointment quota

Key Responsibilities:

• Inside Sales
• Lead Generation
• Executive Email marketing and Cold calling
• International sales experience preferred
• Relevant IT/ERP sales experience preferred

Job Description

We are looking for a talented Magento 1 and 2 developer that will oversee maintaining our

eCommerce website. Your main tasks will be to ensure that the last security patches are installed and that existing functionality continues to work properly. You will also oversee developing new modules and applying any required front-end changes.

What we expect from you?

Good experience in eCommerce development

Strong debugging skills, Code flow analysis, and the ability to read and modify existing

code.

Good knowledge of Payment gateway integration

Shopify experience will be a big plus.

2+ years of work experience.

Strong problem-solving and troubleshooting skills.

Good communication and Learning attitude.

Strong object-oriented programming knowledge

Very good PHP knowledge

JavaScript is a must for front-end development

Extensive LESS & CSS knowledge

Magento certification is a big plus

What you will get to work on?

Create responsive sections as per the requirement given to you.

Bug fixing, testing, and maintenance of the site.

Data entry work is also included

Regularly update our Magento installation

Install security patches

Develop new functionality

Implement front-end changes.
For more details dial - nine/one/zero/one/four/double three/eight/one/two.

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model

• Thorough understanding of React.js 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

Company Description

At Bungee Tech, we help retailers and brands meet customers everywhere and, on every occasion, they are in. We believe that accurate, high-quality data matched with compelling market insights empowers retailers and brands to keep their customers at the center of all innovation and value they are delivering. 

We provide a clear and complete omnichannel picture of their competitive landscape to retailers and brands. We collect billions of data points every day and multiple times in a day from publicly available sources. Using high-quality extraction, we uncover detailed information on products or services, which we automatically match, and then proactively track for price, promotion, and availability. Plus, anything we do not match helps to identify a new assortment opportunity.

Empowered with this unrivalled intelligence, we unlock compelling analytics and insights that once blended with verified partner data from trusted sources such as Nielsen, paints a complete, consolidated picture of the competitive landscape.

We are looking for a Big Data Engineer who will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

You will also be responsible for integrating them with the architecture used in the company.

We're working on the future. If you are seeking an environment where you can drive innovation, If you want to apply state-of-the-art software technologies to solve real world problems, If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment, this is your opportunity.

Responsibilities

As an experienced member of the team, in this role, you will:

• Contribute to evolving the technical direction of analytical Systems and play a critical role their design and development

• You will research, design and code, troubleshoot and support. What you create is also what you own.

• Develop the next generation of automation tools for monitoring and measuring data quality, with associated user interfaces.

• Be able to broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation.

BASIC QUALIFICATIONS

• Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.
• 5+ years relevant professional experience in Data Engineering and Business Intelligence
• 5+ years in with Advanced SQL (analytical functions), ETL, Data Warehousing.
• Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling and performance tuning.
• Ability to effectively communicate with both business and technical teams.
• Excellent coding skills in Java, Python, C++, or equivalent object-oriented programming language
• Understanding of relational and non-relational databases and basic SQL
• Proficiency with at least one of these scripting languages: Perl / Python / Ruby / shell script

PREFERRED QUALIFICATIONS

• Experience with building data pipelines from application databases.
• Experience with AWS services - S3, Redshift, Spectrum, EMR, Glue, Athena, ELK etc.
• Experience working with Data Lakes.
• Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
• Sharp problem solving skills and ability to resolve ambiguous requirements
• Experience on working with Big Data
• Knowledge and experience on working with Hive and the Hadoop ecosystem
• Knowledge of Spark
• Experience working with Data Science teams

Requirements:

• Understanding of fundamental design principles for building a scalable application in the web/win platform.
• Proven experience as a .NET Developer or Application Developer.
• Hands-on experience in ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC)).
• Hands-on experience of at least one of the .NET languages (e.g. C#, Visual Basic .NET).
• Familiarity with architecture styles/APIs (REST, RPC).
• Excellent troubleshooting and communication skills.