AI/ML Engineer

About Client

Fastest-growing construction consultancy having 500+ employees is hiring AI/ML Engineer.

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

Campaign Management & Execution:

• Collaborate with account management, marketing, design, and content teams to ensure seamless campaign execution.
• Review and approve creative deliverables, ensuring high-quality outputs that meet client
  expectations.
• Monitor campaign performance and adapt creative strategies to optimize results.

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

• Bachelors or Masters 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

Other Details:

Work Type: Onsite
Working Days: Monday to Friday
Shift: Night shift (2am-11am)
Experience: 3+ years
Employment Type: Full-time
Location: Rawalpindi

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