AI Trainer (Generative AI, AI/ML/DL)

AI Trainer

Key Responsibilities

1. Training and Fine-Tuning Models

• Design, train, and fine-tune

  Generative AI models

  (e.g., GPT, DALL-E, Stable Diffusion) for specific tasks and domains.
• Develop and optimize

  ML/DL algorithms

  to improve model accuracy, scalability, and efficiency.
• Utilize transfer learning, reinforcement learning, and other advanced techniques to enhance AI capabilities.

2. Data Management

• Curate, preprocess, and annotate large datasets for training and evaluation.
• Identify and mitigate data biases and ensure diversity in training datasets.
• Implement data augmentation techniques to improve model robustness.

3. Model Evaluation and Testing

• Conduct rigorous testing and benchmarking of AI models to ensure quality, fairness, and accuracy.
• Develop evaluation metrics and frameworks for assessing model performance.
• Debug and troubleshoot models to resolve performance issues.

4. Collaboration and Research

• Partner with cross-functional teams, including data scientists, engineers, and product managers, to align AI solutions with business goals.
• Stay up-to-date with the latest research in AI, ML, and DL, and apply innovative techniques to projects.
• Present findings, insights, and recommendations to stakeholders.

5. Ethics and Compliance

• Ensure AI models adhere to ethical standards and comply with relevant regulations.
• Identify and address risks such as model bias, hallucination, and misuse.

6. Documentation and Knowledge Sharing

• Document workflows, experiments, and results for reproducibility and transparency.
• Conduct training sessions and workshops to upskill team members on AI/ML/DL topics.

Required Qualifications

• Education:

  Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Ph.D. is a plus.

• Experience:

• 3+ years of hands-on experience in AI/ML/DL model development and training.
• Proven expertise in training and fine-tuning

  Generative AI models

  like GPT, BERT, or similar.
• Experience with large-scale datasets and distributed computing.

• Technical Skills:

• Proficiency in programming languages such as

  Python

  (e.g., TensorFlow, PyTorch, Hugging Face, NumPy).
• Strong understanding of

  ML/DL algorithms, neural networks, and optimization techniques

  .
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and MLOps tools.
• Familiarity with NLP, computer vision, and reinforcement learning is a plus.

Preferred Qualifications

• Experience with

  Generative AI deployment

  in real-world applications.
• Understanding of ethical AI principles and techniques to mitigate biases.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Why Join Us?

• Work on cutting-edge AI technologies with a talented and passionate team.
• Collaborative, innovative, and growth-focused work environment.
• Opportunities for professional development and upskilling.
• Competitive compensation and benefits package.

How to Apply:

Preferred candidate profile