AI/ML Engineer

2 weeks ago

Islamabad, Islamabad, Pakistan Value Engineering Pakistan Full time 2,000,000 - 2,500,000 per year

Position:
AI/ML Engineer

Location:
On-site, Night Shift, Bahria Phase 4 Rawalpindi

Employment Type:
Full-time

About the Role

We are seeking a highly skilled and motivated
AI/ML Engineer
to join our team. The ideal candidate will have a strong foundation in machine learning, deep learning, and data engineering, with the ability to design, build, and deploy AI solutions that solve complex real-world problems. You will collaborate closely with software engineers, data scientists, and product managers to integrate AI models into production systems and continuously improve their performance.

Key Responsibilities

  • Model Development & Research:
    Design, train, and fine-tune machine learning and deep learning models for tasks such as classification, regression, NLP, computer vision, and generative AI.
  • Research and evaluate emerging AI/ML frameworks, architectures, and techniques to keep our systems cutting-edge.
  • Data Engineering:
    Collect, preprocess, clean, and transform structured and unstructured datasets (text, images, audio, PDFs, etc.).
  • Implement feature engineering, dimensionality reduction, and data augmentation techniques.
  • Deployment & Scaling:
    Package and deploy models into production environments (e.g., using FastAPI, Flask, TensorFlow Serving, TorchServe, or Kubernetes).
  • Ensure scalability, performance, and security of deployed AI solutions.
  • MLOps & Automation:
    Implement CI/CD pipelines for ML workflows (training, testing, deployment).
  • Use tools like MLflow, DVC, Airflow, or Kubeflow to manage experiments, track models, and orchestrate workflows.
  • Collaboration:
    Work with cross-functional teams to understand requirements and deliver AI-driven solutions.
  • Document designs, processes, and results for both technical and non-technical stakeholders.

Required Qualifications

  • Minimum experience of 5+ Years
  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field. (PhD is a plus.)
  • Solid programming skills in
    Python
    (experience with libraries like TensorFlow, PyTorch, Scikit-learn, Hugging Face).
  • Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and statistical modeling.
  • Proficiency in handling large datasets, SQL/NoSQL databases, and data pipelines.
  • Experience with
    cloud platforms
    (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
  • Knowledge of version control (Git) and collaboration tools (Bitbucket, GitHub, GitLab).

Preferred Skills

  • Experience in
    NLP (transformers, LLM fine-tuning), Computer Vision, or Generative AI
    .
  • Familiarity with
    vector databases
    (Pinecone, Weaviate, pgvector, Chroma) for RAG pipelines.
  • Understanding of
    MLOps best practices
    (CI/CD for ML, model monitoring, drift detection).
  • Strong mathematical foundation (linear algebra, probability, optimization).
  • Prior experience in deploying
    end-to-end AI applications
    in real-world scenarios.

Soft Skills

  • Strong problem-solving and analytical mindset.
  • Ability to work independently and in a collaborative environment.
  • Excellent communication skills to explain complex AI/ML concepts to non-technical teams.
  • Continuous learning attitude to stay updated with the latest advancements in AI/ML.

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