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AI Engineer

7 days ago

Lahore, Punjab, Pakistan InvoZone Full time

Job Title: Senior Data Scientist / AI Engineer

Location: Remote or On-site

Job Type: Full-time

Experience Level: Senior

About the Role:

We are seeking an experienced Senior Data Scientist / AI Engineer to design, develop, and deploy AI-driven solutions that drive innovation and business impact. The ideal candidate will have expertise in machine learning, deep learning, and AI-powered applications, with a strong foundation in data science methodologies, model deployment, and MLOps.

Key Responsibilities:
  1. Develop and optimize machine learning models for predictive analytics, NLP, computer vision, or recommendation systems.
  2. Implement Retrieval-Augmented Generation (RAG), vector search, and generative AI models.
  3. Fine-tune large language models (LLMs) using LoRA, QLoRA, Hugging Face, OpenAI, and LangChain.
  4. Build and deploy AI-powered applications using FastAPI, Flask, TensorFlow, PyTorch, and OpenAI APIs.
  5. Develop data pipelines, feature engineering, and model training workflows for production use.
  6. Ensure scalability and reliability of ML models with MLOps best practices, leveraging Docker, MLflow, and CI/CD pipelines.
  7. Optimize AI models for performance, cost-efficiency, and real-time processing.
  8. Work with cross-functional teams to integrate AI solutions into business applications.
  9. Monitor AI models in production, analyze performance metrics, and implement improvements.
  10. Stay updated with the latest advancements in AI, deep learning, and NLP.
Requirements:
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related fields.
  • 3+ years of experience in machine learning, deep learning, and AI model development.
  • Expertise in Python, R, SQL, and frameworks like TensorFlow, PyTorch, Keras.
  • Strong knowledge of NLP, LLMs, generative AI, RAG, FAISS, and vector databases.
  • Experience with MLOps, model deployment (AWS SageMaker, GCP Vertex AI), and cloud services.
  • Hands-on experience in Graph Neural Networks, Transformers, AutoML, and reinforcement learning is a plus.
  • Proficiency in working with big data technologies (Spark, Hadoop, Dask, Apache Kafka, Airflow) is desirable.
  • Strong problem-solving skills, ability to work in agile environments, and a passion for AI-driven solutions.