Oracle EBS

🚀 Hiring: Node.js Developer

⭐ Experience: 2+ Years

📍 Location: Mumbai (Andheri East)

⭐ Work Mode:- 5 Days Work From Office

⏱️ Notice Period: Immediate Joiners or 15 Days

(Only immediate joiners & candidates serving notice period)

We’re looking for a passionate Node.js Developer to join our team! If you have hands-on experience with Node.js, Express.js, REST APIs, and databases (such as MongoDB/MySQL/PostgreSQL), we want to hear from you.

✅ Key Skills:

• Strong in JavaScript (ES6+), Node.js, Express.js
• Strong knowledge of JavaScript (ES6+), Express.js, and asynchronous programming.
• Experience with databases (MongoDB, MySQL, or PostgreSQL).
• Familiarity with REST APIs, authentication (JWT/OAuth), and security best practices.
• Experience with Git/GitHub and Agile development methodologies.
• Basic knowledge of cloud platforms (AWS, Azure, GCP) is a plus.
• Develop, test, and maintain server-side applications using Node.js.

Job Summary:

As a Customer Care Representative, you will be responsible for delivering excellent customer service by handling inbound and outbound customer interactions. Your role will focus on resolving customer queries, providing product/service information, ensuring customer satisfaction, and maintaining accurate records in CRM and GDS systems. You will act as a key point of contact between the company and its customers.

Key Responsibilities:

• Handle inbound and outbound customer calls, emails, or chats professionally
• Assist customers with inquiries, service requests, and issue resolution
• Provide accurate information about products and services
• Maintain detailed records of customer interactions in CRM systems and GDS platforms (Amadeus, Sabre, Galileo)
• Follow up with customers to ensure resolution and satisfaction
• Escalate complex issues to the appropriate teams when required
• Adhere to quality standards, company policies, and service-level agreements (SLAs)
• Collaborate with internal teams to improve customer experience
• Meet customer satisfaction and productivity targets

Qualifications:

• High school diploma or equivalent; Bachelor’s degree is a plus
• Prior experience in customer care, customer support, or call center operations preferred
• Strong verbal and written communication skills
• Ability to handle customers patiently and professionally
• Comfortable working independently and in a team environment
• Basic computer skills and familiarity with CRM tools and MS Office
• Customer-focused mindset with problem-solving ability

Job Types: Full-time, Permanent, Fresher

Pay: ₹11,828.27 - ₹25,000.00 per month

Benefits:

• Paid sick time
• Paid time off
• Provident Fund

Work Location: In person

Job Description

About the Role

We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.

This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.

Responsibilities

• Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
• Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
• Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
• Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
• Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
• Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
• Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
• Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
• Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
• Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.

Required Skills & Qualifications

• 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
• Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
• Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
• Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
• Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
• Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
• Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
• Experience with model evaluation, monitoring, and performance optimization in production environments.
• Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
• Proven ability to lead technical initiatives and mentor engineering teams.

Preferred Qualifications

• Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
• Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
• Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
• Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
• Experience designing enterprise-scale AI platforms or AI-powered products.

• Training and Development

Desired Candidate Profile

• MBA from a premier institute/ CFA (USA)/ CA (ICAI)
• 2-4 years of post-qualification experience
• Clear financial and quantitative concepts
• Strong logical and analytical abilities
• Good communication, presentation and inter-personal skills
• Very strong Microsoft Excel financial modelling skills
• Openness to travel overseas for extended periods (3-4 weeks) for client meetings and on-site execution