puestos de Environmental Scientist en United States

Bachelors in Computer Application(Computers)

Nationality: Any Nationality

Vacancy: 1 Vacancy

Job Description

The Main Event: What you'll do

We are seeking an innovative Data Scientist to join our advanced AI team. In this role, you will play a key part in fine-tuning large language models (LLMs), developing and training models for video generation, and building prediction systems. The ideal candidate will have hands-on experience with deep learning frameworks, a strong background in Python programming, and a proven track record in deploying models to production.

Responsibilities:

1. Model Fine-Tuning: Fine-tune pre-trained large language models (LLMs) to meet domain-specific needs using state-of-the-art techniques (e.g., transfer learning, reinforcement learning from human feedback). Develop and implement custom fine-tuning strategies to optimize model performance.
2. Video Generation & SVD Models: Work with models designed for video generation and explore techniques such as SVD-based approaches for dimensionality reduction and content synthesis. Collaborate with cross-functional teams to integrate video generation capabilities into product pipelines.
3. Predictive Modeling: Design, build, and deploy predictive models to extract actionable insights from complex data. Continuously evaluate and refine prediction systems to improve accuracy and robustness.
4. Data Analysis & Experimentation: Analyze large datasets to identify trends and patterns that drive model improvements. Experiment with different architectures and hyperparameters to find optimal configurations.
5. Collaboration & Communication: Work closely with data engineers, software developers, and business stakeholders to ensure seamless integration and effective deployment of AI solutions. Document experiments and present findings to technical and non-technical audiences.

Requirements:

1. Educational Background: Bachelor s degree in Computer Science, Data Science, Machine Learning, or a related quantitative field.
2. Technical Experience: 2 to 4 years of industry experience in deep learning and AI model development. Proven experience in fine-tuning large language models (e.g., GPT, BERT) for real-world applications. Experience in training and deploying models for video generation or using singular value decomposition (SVD) techniques is highly desirable. Demonstrable track record in building and deploying predictive models.
3. Programming Skills: Proficient in Python with solid experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers). Familiarity with data processing, visualization, and model optimization tools.
4. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills and ability to work effectively in a collaborative team environment.

Preferred Qualifications:

• Experience with cloud-based AI platforms and containerization technologies.
• Exposure to reinforcement learning techniques and transfer learning.
• A proactive attitude and passion for staying up-to-date with the latest advancements in AI research and development.