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AI / ML Engineer

Job Title: AI / ML Engineer

Experience: 3–4 Years
Location: Onsite – Lahore / Hybrid / Remote / Onsite
Job Type: Full-Time

About the Role

We are seeking a highly motivated AI / ML Engineer to design, build, and deploy scalable machine learning solutions. You will work closely with data engineers, product managers, and software teams to transform business problems into intelligent, data-driven systems.

Key Responsibilities

  • Design, develop, and deploy machine learning models for real-world applications.
  • Build end-to-end ML pipelines including data preprocessing, feature engineering, training, and evaluation.
  • Implement supervised and unsupervised learning algorithms.
  • Optimize model performance and accuracy through experimentation and tuning.
  • Work with large structured and unstructured datasets.
  • Deploy models using REST APIs and integrate with production systems.
  • Monitor model performance and retrain as needed.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Document models, workflows, and experiments.

Required Skills & Qualifications

  • 3–4 years of hands-on experience in AI / ML engineering.
  • Strong proficiency in Python.
  • Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn.
  • Solid understanding of algorithms: regression, classification, clustering, NLP, time-series.
  • Experience with data processing tools: Pandas, NumPy, SQL.
  • Familiarity with cloud platforms: AWS / GCP / Azure.
  • Experience with model deployment (Flask, FastAPI, Docker).
  • Knowledge of version control: Git.
  • Strong problem-solving and analytical skills.

Nice to Have (Plus Points)

  • Experience with Deep Learning / NLP / Computer Vision.
  • Knowledge of MLOps tools (MLflow, Airflow, Kubeflow).
  • Experience with Big Data tools (Spark, Hadoop).
  • Exposure to real-time ML systems.
  • Prior experience in product-based or startup environments.

Job Type: Full-time

Pay: Rs200,000.00 - Rs250,000.00 per month

Work Location: In person

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