Role Overview: You will be working as an Oracle PLSQL Developer at Bhavitha Tech Solutions Pvt Ltd in Bengaluru. Your responsibilities will include developing, testing, debugging, and maintaining PLSQL code and Oracle databases. Collaboration with cross-functional teams to gather and analyze business requirements, design and implement database solutions, and optimize SQL queries for performance will be an essential part of your role. Strong analytical and problem-solving skills, attention to detail, and the ability to work effectively in a fast-paced environment are required for this position. Key Responsibilities: - Develop, test, debug, and maintain PLSQL code and Oracle databases - Collaborate with cross-functional teams to gather and analyze business requirements - Design and implement database solutions - Optimize SQL queries for performance Qualification Required: - Bachelor's degree in Computer Science, Engineering, or a related field - Proficiency in Oracle PLSQL development, including stored procedures, triggers, functions, and packages - Experience with Oracle databases, SQL, and performance tuning - Knowledge of database design principles and data modeling - Understanding of software development lifecycle and agile methodologies - Excellent problem-solving and troubleshooting skills - Strong communication and collaboration abilities - Ability to work independently and as part of a team Additional Details: Bhavitha Tech Solutions Pvt Ltd is a digital transformation company specializing in application migration, custom product development, AWS cloud migration, ERP, industrial automation, and IoT. As an AWS Services Select Partner, the company offers professional and development services on AWS, including cloud-native application development, DevOps, cost optimization, security, scalability, and 24/7 monitoring and support. The company's clients include the Karnataka State Finance Department, Ather Energy, and over 20 startups in North America and India. Experience level required for this position is 2 to 5 years, and the work location is Bangalore. Preferred qualifications include experience in Database Migration, certifications in Oracle and/or AWS, and knowledge of AWS services and cloud-based database solutions.,
Role Overview : We’re looking for an AI Engineer for one of our Tier-1 IT clients with hands-on experience in building, fine-tuning, and optimizing LLM-based applications. The ideal candidate will have solid expertise in RAG (Retrieval-Augmented Generation) architectures, parameter-efficient fine-tuning (e.g., LoRA), and model quantization techniques for deployment efficiency. Key Responsibilities: ● Design, implement, and optimize end-to-end LLM-based solutions for real-world applications. ● Develop and maintain RAG pipelines integrating vector databases, embeddings, and retrieval techniques. ● Fine-tune pre-trained language models using LoRA or similar methods. ● Apply quantization and optimization strategies to deploy models efficiently on constrained environments. ● Collaborate with data scientists, software engineers, and product teams to integrate AI features into production systems. ● Monitor, evaluate, and continuously improve model performance and reliability. Required Skills: ● 3–5 years of experience in AI/ML development or applied NLP. ● Proficient in Python and frameworks such as PyTorch or TensorFlow. ● Strong understanding of LLM architectures (e.g., GPT, Llama, Falcon, Mistral). ● Experience with RAG frameworks (LangChain, LlamaIndex, or custom retrieval setups). ● Hands-on knowledge of LoRA, PEFT, and model quantization (GPTQ, AWQ, or similar). ● Familiarity with vector databases like FAISS, Pinecone, or ChromaDB. ● Good understanding of prompt engineering and evaluation techniques. ● Cloud deployment experience (AWS, Azure, or GCP) is an advantage. Preferred Skills : ● Exposure to open‑source models and fine-tuning pipelines. ● Experience integrating AI models into web or enterprise products. ● Knowledge of containerization and MLOps (Docker, Kubernetes, MLflow).
Role Overview : We're looking for an AI Engineer for one of our Tier-1 IT clients with hands-on experience in building, fine-tuning, and optimizing LLM-based applications. The ideal candidate will have solid expertise in RAG (Retrieval-Augmented Generation) architectures, parameter-efficient fine-tuning (e.g., LoRA), and model quantization techniques for deployment efficiency. Key Responsibilities: ?Design, implement, and optimize end-to-end LLM-based solutions for real-world applications. ?Develop and maintain RAG pipelines integrating vector databases, embeddings, and retrieval techniques. ?Fine-tune pre-trained language models using LoRA or similar methods. ?Apply quantization and optimization strategies to deploy models efficiently on constrained environments. ?Collaborate with data scientists, software engineers, and product teams to integrate AI features into production systems. ?Monitor, evaluate, and continuously improve model performance and reliability. Required Skills: ?35 years of experience in AI/ML development or applied NLP. ?Proficient in Python and frameworks such as PyTorch or TensorFlow. ?Strong understanding of LLM architectures (e.g., GPT, Llama, Falcon, Mistral). ?Experience with RAG frameworks (LangChain, LlamaIndex, or custom retrieval setups). ?Hands-on knowledge of LoRA, PEFT, and model quantization (GPTQ, AWQ, or similar). ?Familiarity with vector databases like FAISS, Pinecone, or ChromaDB. ?Good understanding of prompt engineering and evaluation techniques. ?Cloud deployment experience (AWS, Azure, or GCP) is an advantage. Preferred Skills : ?Exposure to open?source models and fine-tuning pipelines. ?Experience integrating AI models into web or enterprise products. ?Knowledge of containerization and MLOps (Docker, Kubernetes, MLflow).