Job Summary

Role Description:

We are seeking a skilled Generative AI Engineer to join our team and lead the development of innovative AI solutions. Your expertise in generative models, deep learning, and data analysis will be critical in creating intelligent and transformative AI applications. You will work closely with cross-functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence.

Key Responsibilities:

Strong background in machine learning and deep learning algorithms.

Proficiency in Python, TensorFlow, and PyTorch for developing AI models.

Experience in generative AI techniques such as GANs and VAEs.

Ability to design and implement scalable and efficient AI systems.

Advanced knowledge of natural language processing for text generation tasks.

Skills in data preprocessing and feature engineering for AI model training.

Strong understanding of neural network architectures and optimization techniques.

Experience in deploying AI models into production environments.

Ability to stay updated with the latest advancements in generative AI research and incorporate them into work.

 

Key Responsibilities

1. Develop Machine Learning Algorithms Using Python And Tensorflow To Merge, Manage, And Extract Data, Delivering Tailored Reports To Stakeholders.
2. Apply Statistical Techniques And Machine Learning Frameworks Such As Pytorch To Design Custom Data Models And Algorithms, Enhancing Data Processing Capabilities.
3. Utilize Sql To Query Large Datasets, Identifying Meaningful Insights And Interpreting Findings Through Data Mining And Exploratory Data Analysis.
4. Collaborate With Business Stakeholders To Identify And Prioritize Opportunities For Data-Driven Solutions That Support Organizational Goals.
5. Generate Comprehensive Reports And Visualizations That Translate Complex Data Analysis Into Actionable Insights For Stakeholders, Informing Business Decisions.

Skill Requirements

1. Strong Understanding Of Machine Learning Concepts And Frameworks, Including Tensorflow And Pytorch.
2. Proficient In Python Programming For Data Manipulation And Algorithm Development.
3. In-Depth Knowledge Of Sql For Effective Data Querying And Management.
4. Familiarity With Statistical Methods And Data Mining Techniques For Analyzing Large Datasets.
5. Excellent Communication Skills To Convey Technical Findings To Non-Technical Stakeholders.

Other Requirements

1. Optional Certifications: Certified Data Scientist, Tensorflow Developer Certificate, Or Relevant Machine Learning Certifications Are Valuable.