AI/ML Engineer

20 hours ago

Suite Parsa Tower ShahraheFaisal Sindh Karachi Pakistan Think Digitally Full time $80,000 - $120,000 per year

Responsibilities:

  • Develop and implement machine learning models and LLMs, optimizing them for real-world deployment
  • Fine-tune and optimize large language models (LLMs) to enhance performance and scalability
  • Work with AI development frameworks like LangChain, PyTorch, Keras, etc. for AI-driven applications
  • Design and develop machine learning algorithms and deep learning applications and systems
  • Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
  • Train and monitor machine learning systems and models as needed
  • Design and implement embedding-based similarity algorithms to improve AI-powered search and retrieval
  • Implement Retrieval-Augmented Generation (RAG) techniques for enhanced AI response generation
  • Utilize vector databases (e.g. Chroma, Pinecone, Weaviate, etc.) to support efficient data retrieval
  • Develop and deploy AI/ML pipelines
  • Work with frameworks like FastAPI, Flask, or Django to integrate AI models into applications
  • Collaborate with Data Engineers to integrate AI models with Vector databases and conventional Databases
  • Optimize AI inference for low latency and high scalability in production environments
  • Implement AI security best practices to mitigate risks like adversarial attacks
  • Stay up to date with advancements in LLMs, ML, AI search, and model deployment strategies

Skills and Requirements:

  • Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field
  • Strong proficiency in Python for AI/ML development
  • Hands-on experience with LLMs and transformer-based architectures
  • Hands-on experience with ML based development
  • Experience implementing RAG techniques in AI applications
  • Familiarity with embedding models and NLP pipelines
  • Understanding of AI inference optimization and scalability strategies
  • Experience with MLOps tools is a plus
  • Knowledge of containerization and deployment using Docker, Kubernetes, or cloud platforms (AWS, Azure)
Offerings & Benefits:
  • Above market salary
  • Bi-annual increments
  • Performance based bonuses
  • Flexible working arrangements for healthy work-life balance
  • Recreational and entertainment events
  • Dynamic team and great team culture
  • OPD health care for self, spouse, children and parents
  • Emergency and hospitalization medical coverage
  • Maternity care coverage for pre-natal and post-natal medical expenses
  • Unlimited 24/7 tele-consultations with GPs
  • Significant discounts on tele-consultations with specialist doctors
  • Significant discounts on leading labs for medical tests.
  • Significant discounts on leading pharmacies for medicines
  • Health and wellbeing counselling
  • Casual leaves
  • Sick leaves
  • Annual leaves
  • Wedding leaves
  • Haj leaves
  • Pilgrimage leaves
  • Maternity leaves
  • Paternity leaves
  • Bereavement leaves

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