AI/ML Engineer (Onsite, Lahore, PKR Salary)

HR POD Careers


Date: 2 weeks ago
City: Lahore
Contract type: Full time
Requirements:

  • Bachelors, Masters, or PhD in a STEM field (Science, Technology, Engineering, or Mathematics).
  • Minimum 5+ years of experience in machine learning and large-scale data processing.
  • Expertise in Python, SQL, and data processing frameworks such as Pandas, NumPy, PySpark, and Dask is required.
  • Experience working with big data tools like Hadoop, Apache Spark, or similar technologies is essential.
  • Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or similar is expected.
  • Hands-on experience in building and deploying large language models (LLMs) and generative AI systems is necessary.
  • Strong skills in developing REST APIs and microservices architecture for scalable AI solutions are required.
  • Familiarity with version control systems such as Git and implementing CI/CD pipelines for MLOps is important.
  • Ability to use data visualization tools such as Tableau, Power BI, or similar platforms effectively.
  • Proven experience in real-time and batch processing of large datasets is needed.
  • Skilled in model optimization and monitoring in production environments.
  • Experience in applying NLP and generative AI techniques for text analysis and automation is expected.
  • Knowledgeable in feature engineering, feature selection, and time series forecasting.
  • Proficiency in database management, including both SQL and NoSQL systems is required.
  • Proven ability to process, analyze, and report on large-scale datasets.
  • Strong mathematical and statistical foundation.
  • Expertise in building data-driven reporting systems and tools.
  • Hands-on experience with LLM optimization and generative AI pipelines.
  • Knowledge of cloud platforms (AWS, Google Cloud, or Azure) for scalable data processing.
  • Strong communication skills to collaborate with data teams and business stakeholders.
  • Understanding of data security and compliance best practices.
  • Experience with distributed computing and big data architectures.
  • Familiarity with LangChain, LlamaIndex, Hugging Face, and similar LLM-focused tools.
  • Knowledge of A/B testing and experimental design for data-driven insights.
  • Proficiency in containerization and orchestration (Docker, Kubernetes).
  • Published research or contributions to AI/ML open-source projects.
  • Experience with advanced model optimization and hardware acceleration.


Responsibilities:

  • Design and implement end-to-end machine learning solutions to process and analyze large-scale datasets efficiently.
  • Build robust data pipelines for high-volume data ingestion, transformation, and storage.
  • Create advanced reporting systems and dashboards powered by AI to deliver actionable insights.
  • Develop and deploy custom AI/ML models tailored to business requirements, including LLMs and generative AI solutions.
  • Leverage frameworks like LangChain, LlamaIndex, and Hugging Face to implement and fine-tune large language models.
  • Build systems to automate data-driven decision-making using predictive analytics and recommendation engines.
  • Monitor, troubleshoot, and optimize AI/ML models in production environments.
  • Collaborate with cross-functional teams to enhance reporting and analytics capabilities with AI.
  • Ensure scalability, reliability, and security in handling vast amounts of data.
  • Maintain comprehensive documentation for data workflows, AI systems, and reporting tools.

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