Generative A.I Engineer (3+ Years of Experience)

Job Description:
We are seeking a highly skilled and innovative Generative AI Engineer to join our team. The ideal candidate has a deep understanding of artificial intelligence, machine learning, and natural language processing (NLP), with proven experience in developing and deploying generative AI solutions. You will work on designing, implementing, and scaling AI models to solve complex problems and drive cutting-edge advancements in our products and services.

Responsibilities:

• Model Development:
  • Design, develop, and fine-tune state-of-the-art generative AI models (e.g., GPT, BERT, Stable Diffusion).
  • Experiment with and implement novel architectures and approaches for generative AI tasks.
• Data Handling:
  • Collect, preprocess, and analyze large datasets to train and fine-tune models effectively.
  • Collaborate with data engineers to ensure seamless integration of data pipelines.
• Deployment & Integration:
  • Build scalable APIs and frameworks to deploy AI models in production environments.
  • Optimize AI solutions for latency, scalability, and performance.
• Research & Innovation:
  • Stay updated with the latest advancements in AI and machine learning, and propose innovative solutions.
  • Experiment with new technologies and tools to enhance AI capabilities.
• Collaboration:
  • Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to define project requirements and deliver impactful solutions.
  • Translate business problems into technical implementations.
• Monitoring & Maintenance:
  • Monitor deployed models for performance and accuracy.
  • Debug and resolve issues, ensuring reliability and continuous improvement.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3+ years of hands-on experience in AI/ML engineering, with a focus on generative AI.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or JAX.
• Experience with transformer-based architectures and models (e.g., GPT, BERT, DALL-E).
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Strong background in NLP, deep learning, and computer vision.
• Excellent problem-solving skills and the ability to work in a collaborative environment.
• Knowledge of MLOps tools and best practices for deploying and maintaining AI solutions.

Preferred Qualifications:

• Experience in Reinforcement Learning, GANs, or diffusion models.
• Contributions to open-source AI/ML projects or research publications.
• Familiarity with front-end technologies for integrating AI into user-facing products.
• Experience with AI ethics and bias mitigation strategies.

Compensation:
We offer a market-competitive salary ranging from $80,000 to $100,000 USD annually, depending on experience and qualifications

Why Join Us?

• Opportunity to work on cutting-edge AI technologies.
• Collaborative and inclusive work environment.
• Competitive compensation and benefits.
• Access to continuous learning and professional development opportunities.

Location: Remote
Employment Type: Full-Time

Apply now and become a key contributor to shaping the future of AI!