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Oracle Functional

Job Description

Oracle EBS Techno Function with 4+ years' of experience

Excellent functional knowledge of Financial modules (Specially GL, FA)

Expertise in Oracle EBS Financial, Project, Purchasing module

Able to understand the accounting concepts

Few technical skills like PLSQL, personalization, XML reports

Worked on Oracle EBS 12.2+ implementation and support

Qualifications

Graduate specially with accounts

Additional information

Excellent verbal and written communication skills.

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

Job description

• Responsible for Installation and Troubleshooting Operating System, Laptops, Desktops, Printer, Networking Device, Internet, Remote Desktop and all types of applications, drivers, and necessary updates.
• Responsible for Installation, Maintenance & Troubleshooting of Desktops, Laptop, and their operating system.
• Hands-on experience with Windows 10/11 operating system environments
• Use all means possible to assist users including by phone, via email, in-person, MS Teams or using remote support tools.
• Ability to perform remote troubleshooting and provide clear instructions.
• Knowledge of office 365, MS team, One Drive and SharePoint and anti-virus programs
• Excellent problem-solving and multitasking skills
• Address user tickets regarding hardware, software, and networking L1, etc.
• Manage and maintain IT asset inventory and documentation.

Desired Skills and Experience -

• Strong knowledge of Microsoft Windows desktop operating systems.
• Strong diagnostic/ troubleshooting skills, must have an innate curiosity and interest in IT
• Strong knowledge of the Microsoft Office suite.
• Working knowledge of TCP/IP protocol stack, and Wi-Fi.
• Working knowledge of supporting pcs in a domain environment.
• Working knowledge of Office 365 cloud application suite
• Working knowledge of desktop imaging, application deployment, and hard drive encryption

What you need to have: