Senior AI Engineer

14 hours ago

Islamabad, Islamabad, Pakistan Cplus Soft Full time

Direct message the job poster from Cplus Soft

Tech HR & Talent Expert | Driving HR Innovation with Technology | Workforce Development & Strategic HR Leadership

Job Summary:

We are seeking a Senior AI Engineer who is innovative, fast-paced, and highly skilled in AI. The ideal candidate will have extensive experience in Generative AI and Image Processing/Recognition, with a proven leadership record in AI teams. You will work on cutting-edge AI products, focusing on building, deploying, and scaling real-world AI solutions.

Key Responsibilities:

  • Design, develop, and deploy advanced AI/ML models, emphasizing Generative AI (LLMs, diffusion models, GANs, etc.) and Computer Vision (image recognition, object detection, image segmentation).
  • Architect and scale AI solutions for production environments.
  • Lead technical discussions and project planning for AI initiatives.
  • Collaborate with cross-functional teams including product managers, data scientists, and engineers.
  • Mentor and support junior engineers to enhance the team's AI capabilities.
  • Stay informed about the latest AI/ML research and innovations, and contribute new ideas.
  • Ensure best practices in model training, evaluation, deployment, and monitoring.

Required Skills & Qualifications:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
  • At least 4 years of experience in AI/ML development and deployment in IT companies.
  • Hands-on experience with Generative AI (e.g., LLMs, GANs, Diffusion Models).
  • Strong expertise in Image Processing and Recognition techniques.
  • Proficiency with machine learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Solid Python programming skills; knowledge of C++/Java is a plus.
  • Understanding of deep learning, computer vision, NLP, and reinforcement learning.
  • Experience deploying models on cloud platforms like AWS, Azure, or GCP.
  • Experience leading and mentoring engineering teams.
  • Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications:

  • Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI, etc.).
  • Research publications in top AI/ML conferences (NeurIPS, CVPR, ICML, etc.).
  • Knowledge of prompt engineering, fine-tuning LLMs, and synthetic data generation.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology

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