
AI Solution Engineer
2 days ago
Position
: AI Solution Engineer
Location:
I-10, Islamabad
Experience
: 1-2 years
Immediate Joiner
Preferred
Are you passionate about AI and machine learning? Join our dynamic team to design, develop, and deploy cutting-edge AI-powered solutions that solve real business challenges and boost operational efficiency.
Key Responsibilities:
1-Solution Design & Development:
- Develop and implement AI/ML solutions to meet business needs and drive efficiency.
- Build AI prototypes and production-grade applications.
- Work on NLP, computer vision, predictive analytics, and deep learning projects
2-Model Training & Optimization:
- Train machine learning models, ensuring accuracy and performance.
- Optimize and fine-tune algorithms for improved results.
- Experiment with new techniques and frameworks to advance AI capabilities.
3-Deployment & Maintenance:
- Deploy AI models to production environments using scalable and robust architectures.
- Collaborate with DevOps teams to ensure CI/CD pipelines are in place.
- Monitor model performance and retrain as needed for continuous improvement.
4-Collaboration & Integration:
- Work closely with product managers, software developers, and stakeholders to understand business requirements.
- Integrate AI solutions into existing software and systems.
- Communicate complex AI concepts and results to non-technical stakeholders.
5-Research & Innovation:
- Stay updated on the latest AI trends, technologies, and tools.
- Evaluate and implement emerging AI solutions to enhance capabilities.
- Contribute to the company's AI roadmap and strategy.
Qualification and Required Skills:
- Bachelor's degree in computer science, AI, Data Science, or a related field. Master's degree will be plus.
Must Have:
Expert-level understanding of AI/ML in Urdu language Voice processing
Expert-level understanding of AI/ML in Image and Video processing
Expert-level understanding of AI Model development and training
Proficiency in Python and frameworks like TensorFlow, PyTorch, or Keras.
- Strong understanding of machine learning, deep learning, and statistical modeling.
- Experience with NLP, computer vision, or recommendation systems.
- Familiarity with data processing tools such as Pandas, NumPy, and Scikit-learn.
Interested candidates
can apply via LinkedIn or send their resumes at or
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