V
Architect
Job Description
Job Title: Technical Architect
Location: PCS CHE, Chennai
Years of Experience: 10-15 Years
Job Summary: We are seeking a highly skilled Technical Architect with a strong background in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will be responsible for designing and implementing innovative technical solutions that leverage AI and ML technologies to meet business objectives. This role requires a deep understanding of architecture principles, cloud technologies, and the ability to lead cross-functional teams.
Responsibilities
Location: PCS CHE, Chennai
Years of Experience: 10-15 Years
Job Summary: We are seeking a highly skilled Technical Architect with a strong background in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will be responsible for designing and implementing innovative technical solutions that leverage AI and ML technologies to meet business objectives. This role requires a deep understanding of architecture principles, cloud technologies, and the ability to lead cross-functional teams.
Responsibilities
- Design and develop scalable and efficient architecture solutions utilizing AI and ML technologies.
- Collaborate with stakeholders to gather requirements and translate them into technical specifications.
- Lead the technical team in the implementation of AI/ML projects, ensuring adherence to best practices.
- Evaluate and recommend tools, technologies, and processes to improve the overall architecture.
- Conduct code reviews and provide mentorship to junior team members.
- Stay updated with the latest trends and advancements in AI and ML to drive innovation.
- Proven experience in AI and ML technologies, including frameworks such as TensorFlow, PyTorch, or similar.
- Strong understanding of software architecture principles and design patterns.
- Experience with cloud platforms (AWS, Azure, GCP) and microservices architecture.
- Excellent problem-solving skills and the ability to work under pressure.
- Strong communication and leadership skills.
- Experience with big data technologies (Hadoop, Spark).
- Knowledge of DevOps practices and CI/CD pipelines.
- Familiarity with data visualization tools.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 10-15 years of experience in software development and architecture.
- Proven track record of successful AI/ML project implementations.
More Info
Key Skills
About Company
Skills:
AML (Anti-Money Laundering), API-driven banking microservices architecture, Real-time data streaming architectures, Multi-currency processing, FX management, ISO 20022 messaging standards, Correspondent banking networks, Fraud prevention within payment flows, Kyc, Sanctions Screening, High-Value Payment systems
Skills:
Cloud Security, Networking, Vpc, Cloud Storage, Terraform, Docker, Identity Access Management, BigQuery, Compute Engine, Iam, Cloud Migration, Kubernetes, Disaster recovery strategies, Application modernization, Cloud Run, Multi-Cloud architectures, Cloud SQL, Observability, Monitoring, Cloud Functions, GKE, DevOps practices, Compliance frameworks, Hybrid Cloud
Skills:
.NET, software engineering practices , Cloud Devops, Typescript, Javascript, System Testing, Scrum, Python, Java, Ml, Rup, GenAI tools, DeepEval, non-relational data storage, test automation strategies, web service architectures, Security Monitoring, Ragas, solution architecture design, MCPs, relational data storage, architecture principles, LLMs, test automation frameworks, Ai, Caching, RAG
Skills:
Tensorflow, Pytorch, Docker, Terraform, Python, MLops, FastAPI, Kubernetes, embeddings, AWS Bedrock, vector databases, Pinecone, Azure OpenAI, Elastic, LangGraph, Chroma, LLM architectures, RAG pipelines, fine-tuning techniques, DL frameworks, LangChain, PEFT, LLMOps, AutoGen, asyncio, LoRA, Milvus, LlamaIndex
Skills:
Algorithms, Design Patterns, Linux Internals, data structures, Restful Apis, Log Analysis, Python, messaging queues, multi-tier application architecture, Java Spring Spring Boot, microservices design, advanced object-oriented programming, system telemetry, unit and integration testing frameworks, AI ML-enabled platform capabilities, database layer optimisation, CI CD automation, production debugging, distributed cloud and SaaS environments, container orchestration