System Administrator

Job Title : Oracle Analytics Cloud (OAC) / Fusion Data Intelligence (FDI) Specialist

Experience : 3 to 8 years

Location : All USI locations – Hyderabad, Bengaluru, Mumbai, Gurugram (preferred) and Pune, Chennai, Kolkata

Work Mode : Hybrid Only (2-3 days from office or all 5 days from office)

Mandatory Skills : Oracle Analytics Cloud (OAC), Fusion Data Intelligence (FDI), RPD, OAC Reports, Data Visualizations, SQL, PL/SQL, Oracle Databases, ODI, Oracle Cloud Infrastructure (OCI), DevOps tools, Agile methodology.

Key Responsibilities :

• Design, develop, and maintain solutions using Oracle Analytics Cloud (OAC).
• Build and optimize complex RPD models, OAC reports, and data visualizations.
• Utilize SQL and PL/SQL for data querying and performance optimization.
• Develop and manage applications hosted on Oracle Cloud Infrastructure (OCI).
• Support Oracle Cloud migrations, OBIEE upgrades, and integration projects.
• Collaborate with teams using the ODI (Oracle Data Integrator) tool for ETL processes.
• Implement cloud scripting using CURL for Oracle Cloud automation.
• Contribute to the design and implementation of Business Continuity and Disaster Recovery strategies for cloud applications.
• Participate in Agile development processes and DevOps practices including CI/CD and deployment orchestration.

Required Skills :

• Strong hands-on expertise in Oracle Analytics Cloud (OAC) and/or Fusion Data Intelligence (FDI).
• Deep understanding of data modeling, reporting, and visualization techniques.
• Proficiency in SQL, PL/SQL, and relational databases on Oracle.
• Familiarity with DevOps tools, version control, and deployment automation.
• Working knowledge of Oracle Cloud services, scripting, and monitoring.

Good to Have :

• Prior experience in OBIEE to OAC migrations.
• Exposure to data security models and cloud performance tuning.
• Certification in Oracle Cloud-related technologies.

Technical Expertise

• Advanced proficiency in Python
• Expertise in Deep Learning Frameworks: PyTorch and TensorFlow
• Experience with Computer Vision Models:
• YOLO (Object Detection)
• UNet, Mask R-CNN (Segmentation)
• Deep SORT (Object Tracking)

Real-Time & Deployment Skills

• Real-time video analytics and inference optimization
• Model pipeline development using:
• Docker
• Git
• MLflow or similar tools
• Image processing proficiency: OpenCV, NumPy
• Deployment experience on Linux-based GPU systems and edge devices (Jetson Nano, Google Coral, etc.)

Professional Background

• Minimum 4+ years of experience in AI/ML, with a strong focus on Computer Vision and System-Level Design
• Educational qualification: B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or a related field
• Strong project portfolio or experience in production-level deployments

Experience in working with various ML libraries and packages like Scikit learn, Numpy, Pandas, Tensorflow, Matplotlib, Caffe, etc. 2. Deep Learning Frameworks: PyTorch, spaCy, Keras 3. Deep Learning Architectures: LSTM, CNN, Self-Attention and Transformers 4. Experience in working with Image processing, computer vision is must 5. Designing data science applications, Large Language Models(LLM) , Generative Pre-trained Transformers (GPT), generative AI techniques, Natural Language Processing (NLP), machine learning techniques, Python, Jupyter Notebook, common data science packages (tensorflow, scikit-learn,keras etc.,.) , LangChain, Flask, FastAPI, prompt engineering. 6. Programming experience in Python 7. Strong written and verbal communications 8. Excellent interpersonal and collaboration skills.

Good-to-Have 1. Experience working with vectored databases and graph representation of documents. 2. Experience with building or maintaining MLOps pipelines. 3. Experience in Cloud computing infrastructures like AWS Sagemaker or Azure ML for implementing ML solutions is preferred. 4. Exposure to Docker, Kubernetes

SN Role descriptions / Expectations from the Role

1 Design and implement scalable and efficient data architectures to support generative AI workflows.

2 Fine tune and optimize large language models (LLM) for generative AI, conduct performance evaluation and benchmarking for LLMs and machine learning models

3 Apply prompt engineer techniques as required by the use case

4 Collaborate with research and development teams to build large language models for generative AI use cases, plan and breakdown of larger data science tasks to lower-level tasks

5 Lead junior data engineers on tasks such as design data pipelines, dataset creation, and deployment, use data visualization tools, machine learning techniques, natural language processing , feature engineering, deep learning , statistical modelling as required by the use case.

JD-Backend Developer

Job Location: Andheri, Mumbai

Job Summary:

As a Python based Backend developer, you shall be responsible for software development of greenfield projects -an platform

for automated testing using Python as a main language. You will work with a team of developers, collaborating on projects to

create efficient and effective software solutions that meet the needs of clients or end-users in the testing domain. You will

need to have a strong understanding of Python & other languages with knowledge of test automation frameworks and tools/

libraries.

Responsibilities:

• Develop and maintain an automated testing platform using Python programming language.

• Design and implement software solutions that automate the testing process.

• Collaborate with other developers and cross-functional teams to deliver high-quality software solutions.

• Participate in code reviews, debugging, and troubleshooting to improve software quality.

• Stay up-to-date with the latest developments in Python and JavaScript programming language and related

testing frameworks and tools.

• Ensure software is delivered on-time and meets or exceeds customer expectations.

• Develop and maintain documentation related to software development processes and projects.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering or a related field.

• Proven experience as a Back-end Developer.

• Strong understanding of Python & other programming language along with its ecosystem (libraries, frameworks,

tools, etc.).

• Excellent written and verbal communication skills.

Preferences:

• Preference shall be given to local candidates

• Preference shall be given to candidates having experience in greenfield software development projects related

to automated testing.

Job Description:

Your Responsibilities! 

• Development of C#, .NET and Java applications and web applications in the field of Product Lifecycle Management (PLM) and Product Information Management (PIM)

• Design and development of interfaces for our application software

• Continuous improvement of the software used after consultation with our users

• Support for the replacement of legacy applications by SAP and other standard software solutions

• Software documentation, creation of test scenarios and execution of release cycles

Required Skills: 

• Successfully completed (Bachelor's) degree with a focus on computer science or equivalent professional experience

• Knowledge of the programming languages C#, .NET

• Knowledge of SQL and database applications such as Microsoft SQL or ORACLE

• Good analytical skills, result-oriented, problem solving, execution focused person

• Business fluent English, German would be an advantage

Even better if you have:

• Knowledge of PLM software and the PLM process would be a plus

• Experience in an agile development and/or DevOps environment

• Experience with Atlassian stack Jira/Bitbucket/Bamboo would be a plus

  Strong knowledge in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc. 

 Sound Knowlegde querying databases and using statistical computer languages: R, Python, SQL, etc. 

 Strong understanding creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.