Machine Learning Engineer

Exp- 3-10 years

Notice period- Serving notice period or immediete

Location-Bangalore

Required Skills and Qualifications 

Backend: 

• Strong programming skills in Core Java, Java 8+ 

• Experience with Spring Boot, RESTful APIs, Microservices architecture 

• Good understanding of JPA/Hibernate, and SQL/NoSQL databases 

Frontend: 

• Proficient in React.js, JavaScript (ES6+), HTML5, CSS3 

• Experience with Redux, React Hooks, and component-based architecture 

• Familiarity with front-end build tools (Webpack, Babel, NPM)

Key Responsibilities

• Develop and maintain scalable backend services using Core Java / Spring Boot 

• Design and implement responsive, high-quality front-end interfaces using React.js 

• Integrate backend APIs with frontend components seamlessly 

• Collaborate with product managers, architects, and QA to deliver quality software 

• Ensure code quality through unit testing, code reviews, and performance tuning 

• Troubleshoot and debug production issues as needed 

Java Technical Lead – Job Description We are solving complex technical problems in the financial 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. Experience: 10+ years Location: Bangalore Job Description: • Experience in Core Java, Spring Boot. • Experience in microservices. • Extensive experience in developing enterprise-scale systems for global organization. Should possess good architectural knowledge and be aware of enterprise application design patterns. • Should be able to analyze, design, develop and test complex, low-latency client-facing applications. • Good development experience with RDBMS in SQL Server, Postgres, Oracle or DB2 • Good knowledge of multi-threading • Basic working knowledge of Unix/Linux • Excellent problem solving and coding skills in Java • Strong interpersonal, communication and analytical skills. • Should be able to express their design ideas and thoughts. About Wissen Technology: Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015. Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’. Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world. Wissen Technology offers an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation. We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider. 

We are seeking a hands-on and technically strong Generative AI Engineer to join the AI Platform Capabilities team as part of a Platform Implementation Partner engagement. In this role, you will design, build, and deploy enterprise-grade Generative AI platform capabilities across multiple Local Business Units operating on both GCP and Azure environments.

The role focuses on engineering production-ready and reusable GenAI components across the full AI stack, including Decision & Orchestration Layers, Execution Runtime Layers, and Build & Lifecycle Layers. You will work closely with implementation partners and Data & AI teams to ensure scalable, enterprise-compliant AI capabilities are delivered within project timelines. This is a deeply technical engineering role with strong emphasis on implementation and operationalization rather than client management.

Key Responsibilities:

• Design and implement enterprise-grade RAG pipelines including ingestion, chunking, embeddings, vector search, retrieval logic, and evaluation frameworks.
• Build multi-agent AI systems with orchestration, semantic routing, memory management, workflow execution, and agent communication capabilities.
• Develop centralized LLM Gateway solutions covering model routing, observability, caching, rate limiting, and policy enforcement.
• Implement scalable GenAIOps, AgentOps, and MLOps frameworks for deployment, monitoring, evaluation, and governance of AI systems.
• Build scalable AI services and REST APIs using Python and deploy them on cloud-native infrastructure.
• Implement AI governance, safety guardrails, audit logging, PII protection, and compliance frameworks.
• Integrate AI solutions into CI/CD pipelines and provision infrastructure using Infrastructure-as-Code practices.

Must-Have Skills:

• Strong hands-on experience with Generative AI, RAG pipelines, embeddings, vector databases, and retrieval evaluation.
• Experience building agentic AI systems including orchestration frameworks, semantic routers, reasoning engines, and memory management.
• Expertise with LLM Gateway implementations, tool integrations, event-driven architectures, and AI runtime systems.
• Solid understanding of GenAIOps, AgentOps, and MLOps principles and tooling.
• Strong experience with GCP AI/ML ecosystem including Vertex AI, Cloud Run, GKE, Pub/Sub, BigQuery, and Cloud Storage.
• Excellent Python programming skills for AI pipelines, APIs, and automation workflows.
• Experience implementing AI governance, safety, compliance, and monitoring frameworks.
• Hands-on experience with CI/CD pipelines and Terraform-based infrastructure automation.

Nice-to-Have Skills:

• Experience working in multi-cloud environments across GCP and Azure.
• Familiarity with LangChain, LlamaIndex, RAGAS, DeepEval, or Vertex AI Rapid Eval.
• Exposure to Knowledge Graphs, Document Intelligence platforms, and Agent Marketplace concepts.
• Experience with enterprise AI-ready data layers including Vector Stores, Feature Stores, and Embedding Infrastructure.
• BFSI domain knowledge including regulatory compliance and data sovereignty considerations.
• Google Cloud Professional Machine Learning Engineer certification.
• Experience working in large-scale enterprise transformation programs. 

RESPONSIBILITIES:

 Requirement understanding and elicitation, analyze, data/workflows, contribute to product

project and Proof of concept (POC)

 Contribute to prepare design documents and effort estimations.

 Develop AI/ML Models using best in-class ML models.

 Building, testing, and deploying AI/ML solutions.

 Work with Business Analysts and Product Managers to assist with defining functional user

stories.

 Ensure deliverables across teams are of high quality and clearly documented. 

 Recommend best ML practices/Industry standards for any ML use case.

 Proactively take up R and D and recommend solution options for any ML use case.

REQUIREMENTS:

Required Skills

 Overall experience of 4 to 7 Years working on AI/ML framework development

 Good programming knowledge in Python is must.

 Good Knowledge of R and SAS is desired.

 Good hands on and working knowledge SQL, Data Model, CRISP-DM.

 Proficiency with Uni/multivariate statistics, algorithm design, and predictive AI/ML modelling.

 Strong knowledge of machine learning algorithms, linear regression, logistic regression, KNN,

Random Forest, Support Vector Machines and Natural Language Processing.

 Experience with NLP and deep neural networks using synthetic and artificial data.

 Involved in different phases of SDLC and have good working exposure on different SLDC’s like

Agile Methodologies.

About
we are building the next big thing in payments for Millennials. Payments are supposed to be simple, intuitive and fast, and we are ensuring that. As the indie creator economy grows, peer-to-peer payments and digital fulfilment will keep growing and a growing number of merchants are earning from direct payments for the digital creations. At Slash we are creating a platform for merchants to seamlessly connect and earn from their supporters and consumers, while also building a payment platform that Millennials will fall in love with.

Responsibilities

The platform that will drive payments at slash will be the social profiles and payment pages for the merchants. You will be responsible for building the social platform on which merchants can build their profiles, list items for sale, the APIs that power the entire UI experience for Slash.

• 3+ years of experience in NodeJS Backend development
• Good understanding of data structures, algorithms and system design
• Awareness of OOP paradigm, SOLID principles and design patterns
• Experience with TypeScript would be a bonus
• Experience with SQL and noSQL databases and ORMs like Sequelize and Mongoose
• Solid understanding of HTTP, Network principles, caching strategies
• Experience with authentication strategies like Oauth, JWT, passport.js
• Aptitude to work at early growing startup environment