Job Title : Cloud Engineer - AWS Cloud App Migration Specialist Job Location : Bangalore / Chennai Position Overview: We are seeking a skilled Cloud Engineer with expertise in AWS Cloud App migration, Lift, and Shift Migration Automation, EC2 migrations, EKS Migration, On-prem storage to EBS, S3 and EFS. The ideal candidate will lead the migration of on-premises applications to AWS, optimize cloud infrastructure, and ensure seamless transitions. Key Responsibilities: Plan and execute migrations of on-prem applications using AWS MGN Strong understanding of AWS VM migrations using 7Rs Strategy Fundamental understanding of EC2, ASG, EBS, EFS, ALB Design and implement automated application migrations. Collaborate with cross-functional teams to troubleshoot and resolve migration issues. Application migration experience especially monolithic and microservices webapps Strong knowledge of AWS DMS, RDS (Oracle, Postgres, SQL Server, MySql) for Cloud Database migration Qualifications: 3+ years of AWS cloud experience. Proficiency in AWS Cloud compute (EC2, EKS) and Storage (s3, EBS and EFS). Strong knowledge of AWS cloud services and migration tools. AWS & Terraform certification preferred. Show more Show less

Job Description: Cloud Engineer - Cloud Database Migration Specialist Job Location - Bangalore & Chennai Position Overview: We are seeking a skilled Cloud Engineer with expertise in AWS and Azure cloud migration, Cloud migration tools, and strong experience in Oracle, PostgreSQL and MS SQL Server database administration. The ideal candidate will lead the migration of on-premises databases to AWS/Azure, optimize cloud infrastructure, and ensure seamless transitions. Key Responsibilities: · Plan and execute migrations of Oracle, PostgreSQL, MS SQL Server databases to AWS and Azure · Utilize cloud native services/Tools (e.g. AWS DMS) and open source tools, develop custom tools for large-scale data migrations. · Design and implement database migrations with minimal downtime and data integrity checks. · Perform database performance tuning, backups, and recovery. · Collaborate with cross-functional teams to troubleshoot and resolve migration issues. Qualifications: · 3+ years of AWS/Azure cloud migration experience · Proficiency in Oracle, Postgres and MS SQL Server DBA tasks. · Strong knowledge of database architecture and automation tools. · Expert in terraform. · AWS/Azure certification preferred. Show more Show less

Role Overview: We are looking for a technically strong AI/NLP Engineer to design and build scalable conversational AI systems using a layered, hybrid approach. You will develop classical ML and rule-based NLP pipelines for intent recognition, entity extraction, and dialogue management, and escalate to fine-tuning and integrating large language models (LLMs) like LLaMA when higher-level understanding or generation is required. Your work will enable efficient, maintainable, and cost-effective chatbot and AI applications by combining the best of traditional NLP/ML and state-of-the-art LLM capabilities. Key Responsibilities: • Design, develop, and optimize rule-based NLP and classical ML pipelines (intent classification, slot filling, pattern matching) for conversational AI. • Fine-tune and adapt large language models (e.g., LLaMA) using LoRA, PEFT, and instruction tuning for complex or ambiguous use cases. • Build and maintain retrieval-augmented generation (RAG) pipelines using vector search engines (FAISS, Pinecone). • Architect modular chatbot systems combining classical ML, rule-based, and LLM components for robust and scalable solutions. • Preprocess and curate datasets for both classical ML training and LLM fine-tuning. • Optimize GPU-based training workflows with tools like Hugging Face Accelerate, DeepSpeed, and manage distributed training. • Develop and execute evaluation metrics and testing protocols to assess both classical models and LLM outputs. • Collaborate with engineering teams to deploy conversational AI models into production systems. • Stay current with latest research and best practices in NLP, ML, and LLM fine-tuning. Required Skills & Experience: • 2 years experience with NLP, classical ML, and LLM fine-tuning. • Strong proficiency in classical ML algorithms (SVM, logistic regression, decision trees) and NLP techniques (regex, rule-based parsing, intent/entity extraction). • Hands-on experience fine-tuning large language models (LLaMA, GPT, Falcon) using LoRA, PEFT, or related methods. • Proficient with NLP and ML libraries: scikit-learn, spaCy, Hugging Face Transformers, NLTK. • Experience building retrieval-augmented generation pipelines with vector databases (FAISS, Pinecone). • Familiarity with distributed GPU training and memory optimization techniques. • Strong Python programming and software engineering skills. • Ability to design modular, maintainable ML/NLP systems combining different techniques. • Experience working in cross-functional teams and clearly communicating technical concepts