Wissen Technology

Location - Bangalore / Pune 

Exp - 4 to 10 years 

Required

·      3–8 years of relevant experience in data science, AI engineering, or applied machine learning roles.

·      Bachelor’s or master’s degree in computer science, Mathematics, Engineering, or a related quantitative field.

·      System design: ability to design scalable, reliable, and maintainable systems, including service decomposition, APIs, caching, queues and event-driven architectures, and the trade-offs between latency, throughput, cost, and consistency.

·      Strong foundation in data structures and algorithms, with the ability to analyse time and space complexity and choose efficient approaches for large-scale data processing.

·      Experience building and operating data-intensive or data-driven applications, such as large-scale data pipelines, batch and streaming processing, or applications whose core features depend on high-volume data.

·      Strong hands-on experience in Python.

·      Solid foundation in machine learning, NLP, and statistical modeling, including data exploration and visualization.

·      Hands-on experience or projects involving LLMs, LangChain, LangGraph, RAG, or agentic AI systems.

·      Experience delivering AI/ML solutions into production environments.

·      Understanding of text processing and unstructured data.

·      Knowledge of software engineering best practices (TDD, refactoring, modular design, version control).

·      System design: ability to design scalable, reliable, and maintainable systems, including service decomposition, APIs, caching, queues and event-driven architectures, and the trade-offs between latency, throughput, cost, and consistency.

·      Strong foundation in data structures and algorithms, with the ability to analyze time and space complexity and choose efficient approaches for large-scale data processing.

·      Experience building and operating data-intensive or data-driven applications, such as large-scale data pipelines, batch and streaming processing, or applications whose core features depend on high-volume data.

·      Strong analytical, problem-solving, and communication skills.

·      Self-motivated, proactive, and delivery-oriented mindset.

JOB DESCRIPTION

Experience: 4-10 years

Wissen Technology is now hiring for a Java Developer - Mumbai with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Exp. 3-5 years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

We are looking for a Database Developer (PostgreSQL) .

Requirements

- 5+ years of hands-on PostgreSQL experience in a production or production-adjacent context 

- Strong SQL skills, including joins, aggregation, common table expressions, window functions, upserts, and DDL

- Ability to read execution plans and use a systematic approach to diagnose and rewrite slow SQL statements

- Practical understanding of transactions, isolation levels, locking, and MVCC

- Experience with physical database design, including tables, keys, constraints, indexes, and partitioning

- Practical experience with data migrations, including bulk or incremental loads, cutovers, and validation

- Practical backup and restore experience, including retention, point-in-time recovery, or restore testing

- Ability to write reliable operational scripts and idempotent reconciliation or backfill processes

- Basic Python experience for data loading and operational scripting.

Nice to have

- Experience with a schema migration tool such as Alembic, Flyway, or Liquibase 

- Experience managing declarative partitioning at scale

- Experience with managed cloud PostgreSQL

- Experience tuning PostgreSQL statistics, autovacuum, bloat, and lock contention

Key Responsibilities

• Design, develop, and maintain enterprise-level applications using Java and Angular.
• Build scalable backend services using Java, Spring Boot, and microservices architecture.
• Develop responsive and user-friendly frontend applications using Angular, TypeScript, HTML5, and CSS3.
• Design, develop, and integrate RESTful APIs.
• Work with relational databases such as MySQL, PostgreSQL, or Oracle.
• Write clean, reusable, and maintainable code.
• Perform unit testing, debugging, and application performance optimization.
• Collaborate with cross-functional teams, business analysts, and QA engineers.
• Participate in code reviews and contribute to technical design discussions.

Required Skills

Backend:

• Strong hands-on experience in Core Java (Java 8 or above).
• Spring Boot, Spring MVC, and Spring Framework.
• Microservices architecture.
• REST API development and integration.
• Hibernate/JPA.

Frontend:

• Strong experience in Angular (Angular 10+ preferred).
• TypeScript, JavaScript, HTML5, and CSS3.
• Angular components, services, routing, and RxJS.
• Responsive UI development.

Technical Stack

- PySpark

- Databricks

- Microsoft Azure

- SQL

- Kubernetes

Key Responsibilities & Expectations

- Must be self-driven, proactive, and capable of independently delivering high-quality solutions.

- Demonstrate strong ownership and accountability for assigned tasks and deliverables.

- Ability to work with minimal supervision while consistently meeting project objectives and quality standards.

Company: Wissen Technology

Position: Python AI Engineer

Experience: 4-6 Years

Location: Bengaluru

Employment Type: Full-time

About Wissen Technology

Wissen Technology is a global technology services company focused on delivering innovative software engineering, data, and technology solutions to leading enterprises. The company works with clients across industries to build scalable, high-performance technology platforms and solve complex business and technology challenges.

With a strong focus on engineering excellence, innovation, and collaboration, Wissen Technology brings together skilled technology professionals across areas such as software engineering, data engineering, cloud, analytics, and digital transformation.

At Wissen Technology, employees have the opportunity to work on challenging technology projects, collaborate with experienced engineering teams, and contribute to solutions that create measurable business impact.

Job Summary

Wissen Technology is hiring a Python AI Engineer for a team building a finance application in global financial services. You will use Python to build LLM-powered applications and AI agents that help finance and operations users find, understand, and act on their data. The ideal candidate should have strong expertise in Core Python, data handling, and AI/LLM engineering and hands-on experience in developing AI-powered applications using Agentic AI frameworks such as LangChain and LangGraph, along with Retrieval-Augmented Generation (RAG).

Job Responsibilities:

• Develop and maintain applications using Core Python.
• Design and develop scalable backend services using FastAPI.
• Build and integrate RESTful APIs for application development.
• Work with NumPy and Pandas for data manipulation and processing.
• Develop AI-powered applications using Generative AI and LLM technologies.
• Implement RAG-based solutions for intelligent document retrieval and information extraction.
• Work with LangChain for LLM orchestration and application development.
• Develop document processing pipelines, including text extraction, parsing, chunking, and data extraction.
• Integrate LLM APIs into existing applications and workflows.
• Optimise application performance, scalability, and reliability.
• Collaborate with cross-functional teams to deliver AI-driven solutions.

Required Skills

• Strong programming experience in Core Python.
• Hands-on experience with FastAPI.
• Good knowledge of NumPy and Pandas.
• Experience in REST API development and integration.
• Practical experience with LangChain.
• Strong understanding of Retrieval-Augmented Generation (RAG).
• Knowledge of AI, Generative AI, and Large Language Models (LLMs).
• Experience in document processing and data extraction.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Python, Hadoop, and Apache Spark.
• Develop efficient data processing and transformation workflows for large datasets.
• Write, optimize, and maintain complex SQL queries and PL/SQL procedures.
• Perform data extraction, transformation, and loading (ETL) from multiple data sources.
• Work with structured and unstructured data to support analytics and reporting requirements.
• Optimize data pipelines and queries for performance, scalability, and reliability.
• Ensure data quality, consistency, security, and integrity across data platforms.
• Collaborate with cross-functional teams to understand business requirements and deliver data engineering solutions.
• Use Git, automation, and CI/CD practices to support development and deployment.

Required Skills

• 4.5–10 years of experience in software development or data engineering.
• Strong proficiency in AWS
• Hands-on experience with Hadoop and Apache Spark.
• Good knowledge of SQL and PL/SQL, including query optimization and stored procedures.
• Experience in ETL development, data processing, and data pipeline design.
• Understanding of data warehousing concepts and distributed computing.
• Strong problem-solving, debugging, and performance-tuning skills.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines using Python and PySpark.
• Work extensively with Databricks and Delta Lake, including Delta tables, MERGE operations, schema evolution, Time Travel, and data optimization.
• Develop, schedule, and monitor Apache Airflow DAGs for workflow orchestration and dependency management.
• Work with Kubernetes for containerized application deployment, orchestration, monitoring, and troubleshooting.
• Develop reusable and optimized Python code following software engineering best practices.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Implement data quality checks, error handling, logging, and monitoring mechanisms.
• Use Git for version control, branching, pull requests, code reviews, and collaborative development.
• Troubleshoot pipeline failures, investigate data issues, and implement reliable solutions.
• Collaborate with cross-functional teams to understand business requirements and deliver efficient data solutions.

Required Technical Skills

• Python: Strong programming skills, including data manipulation, exception handling, modular programming, and debugging.
• PySpark: Hands-on experience with Spark DataFrames, Spark SQL, joins, transformations, partitioning, and performance tuning.
• Databricks: Strong understanding of Databricks architecture, notebooks, workflows, compute management, and job execution.
• Delta Lake: Experience with Delta tables, ACID transactions, MERGE/UPSERT, schema enforcement, schema evolution, VACUUM, and Time Travel.
• Apache Airflow: Experience developing DAGs, managing task dependencies, configuring retries, scheduling workflows, and troubleshooting failures.
• Kubernetes: Practical knowledge of pods, deployments, services, ConfigMaps, Secrets, resource management, and troubleshooting containerized workloads.
• Git: Proficiency in branching strategies, pull requests, merging, and resolving conflicts.
• SQL: Strong SQL skills, including complex joins, CTEs, window functions, and query optimization.

Good to Have

• Experience with Docker and containerization best practices.
• Experience with Databricks Unity Catalog and data governance.
• Knowledge of CI/CD pipelines and automated deployments.
• Experience deploying and managing Airflow workloads on Kubernetes.
• Familiarity with Kubernetes monitoring, autoscaling, and resource optimization.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Understanding of data lakehouse architecture and data modeling.
• Experience with batch and incremental data processing.
• Familiarity with data quality frameworks and automated testing.

Preferred Candidate Profile

• Strong analytical and problem-solving skills.
• Ability to independently design, develop, deploy, and troubleshoot data pipelines.
• Good understanding of distributed data processing and container orchestration.
• Experience working in an Agile development environment.
• Strong communication and collaboration skills.
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Key Responsibilities:

• Deliver new functionalities for calculation platform and for upcoming next gen applications for the Sustainability & Climate Business.
• Monitor and optimize application performance.
• Closely collaborate with Product Management, Research and Product Development, Quality Assurance, Data Operation and IT Infrastructure on all stages of software development life cycle.
• Having very good hands-on working experience in Python and Fast API/Flask/Django or similar Rest API based Frameworks.
• Should have worked on at least one end to end Development project from scratch.
• Worked in a team to implement features and partner with Product Owners, UI/UX Team, Architects, and QA to develop implementation plans with a focus on innovation, quality, sustainability, and delivering value to our business clients.
• Responsible for delivery of high-quality enterprise offerings within schedules.
• The candidate should have excellent problem solving and debugging skills.
• The candidate should have experience with maintenance of legacy, phyton applications and incident management on production systems
• The candidate is expected to have excellent communication and good leadership skills.

Skills and experience that will help you excel:

• Good hands-on working experience in Python.
• Experience in research-oriented calculation frameworks like Numpy and Pandas
• Proficient in RESTful Web Services using Fast API, Django or Flask.
• Good Understanding and hands on experience with SQL/NoSQL Databases
• Good understanding of the importance of testing in software development and the usage of unit testing framework like pytest/unittest.
• Source code control systems, especially Git. - Hands on cloud technologies Google or Azure preferred
• Hands on experience with Azure Databricks, Spark, or similar framework
• Experience in building batch/ETL/integration process on cloud preferred Google, Azure
• Existing domain knowledge of climate products including emissions, physical risk, biodiversity
• Experience in developing and managing microservices on cloud.
• DevOps, and well versed with security practices.
• Exposure and advocate of Open source software
• Exposure to use of AI, LLM to solve business problems is an added advantage.
• Experience In designing solution for data-driven applications
• Strong communication, interpersonal and problem-solving skills
• Bachelors degree in computer science, Mathematics, Engineering, related field, or equivalent experience

Please see below JD and please share relevant profiles asap

We are seeking a skilled and motivated Java Full Stack Developer with 7-8 years of hands-on experience in designing, developing, and maintaining scalable web applications.

The ideal candidate should be proficient in both backend (Java, Spring Boot) and frontend (Angular, JavaScript, HTML, CSS) technologies, with strong problem-solving skills and the ability to work in a collaborative environment.

Key Responsibilities

· Develop and maintain web applications using Java (Spring Boot) for backend and Angular for frontend

· Participate in the full software development lifecycle: requirement analysis, design, coding, testing, and deployment

· Integrate RESTful APIs for seamless frontend-backend communication

· Optimize application performance and ensure cross-device responsiveness

· Write clean, maintainable, and well-documented code

· Troubleshoot and debug issues across the stack

Technical Skills:

· Languages & Frameworks: Java, Spring Boot, Angular, HTML, CSS, JavaScript

· Tools & Platforms: Git, Maven, Postman, JIRA, Jenkins

· Databases: Oracle, PostgreSQL, MySQL

· Others: RESTful APIs, JWT