AI Engineer
2 weeks ago
Location: Gulberg Greens, Islamabad
Job Type: Full-time
Job Summary
We are hiring an AI Engineer to design, build, and deploy machine learning solutions for real-world applications. The ideal candidate should be confident with ML/DL models, data pipelines, and production deployment practices.
Key Responsibilities
- Develop and optimize machine learning and deep learning models.
- Perform data preprocessing, feature engineering, and exploratory data analysis.
- Deploy AI models using APIs, cloud services, or containerized environments.
- Build scalable AI pipelines and automate workflows (MLOps).
- Work on NLP, computer vision, or LLM-based systems depending on project needs.
- Collaborate with cross-functional teams (DevOps, Backend, Product).
- Prepare documentation, reports, and model performance evaluations.
Required Skills & ToolsTechnical Skills
- Strong understanding of Machine Learning algorithms & Deep Learning concepts.
- Hands-on experience with: Python, TensorFlow / PyTorch, Scikit-learn, Pandas, NumPy
- Experience with NLP, Computer Vision, or LLMs (any specialization).
- Practical knowledge of data pipelines, model training, fine-tuning, and evaluation.
Tools & Technologies
- Jupyter, Google Colab, or VS Code
- Git / GitHub / GitLab
- Docker (basic knowledge required)
- Cloud platforms (AWS, Azure, GCP – basic experience is enough)
- API Development (FastAPI or Flask)
- Database basics (SQL, NoSQL)
Experience Required
- 1–3 years of experience in AI/ML Engineering
- Strong internship + project portfolio (for fresh graduates)
- Candidates with Kaggle, GitHub projects, hackathons, or published models/tools will be preferred.
Preferred Qualifications
- Knowledge of MLOps tools (MLflow, DVC, Kubeflow).
- Experience with LLM fine-tuning, embeddings, RAG pipelines, or vector databases.
- Understanding of container orchestration (Kubernetes).
- Any AI certifications (Coursera, Google, Udacity, etc.).
What We Offer
- Competitive salary
- Exposure to large-scale AI systems
- Fast career growth opportunities
- Mentorship from senior engineers
- Friendly and learning-driven work environment
Job Type: Full-time
Application Question(s):
- How soon you can join?
- What would be your salary expectations for this role?
Experience:
- AI Related: 1 year (Preferred)
Work Location: In person
Job Id: 18OwMiED2+0wxReDmKsdvH8F656yhWQfBbgc1RQ9iaamsIPy26Dk7Wy4rUGXC3nkJ3qRPodMBsRxbs2pJGV6sL44cyGHyJilsmf23qvRTDY+-
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