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Senior Machine Learning Engineer
2 weeks ago
Key Responsibilities:
- Advanced Model Development:
- Design and implement complex models using machine learning and deep learning, particularly focusing on natural language processing (NLP), named entity recognition (NER), and large language models (LLMs) such as BERT.
- Create complex AI agent using Langchain, llamaIndex, auto-gen
- Create Retrival Augmented Generation (RAG) Applications
- Multi-agent workflows and bots
- Deep Learning and Neural Network Expertise
- Apply a deep theoretical understanding of neural networks to develop sophisticated models that are both efficient and scalable.
- Cross-Domain Integration
- Incorporate knowledge of image processing to integrate multi-modal systems that leverage both text and visual data.
- Research, Documentation, and Reporting
- writing
- Conduct ongoing research to stay ahead of new trends and techniques in machine learning, deep learning, and AI.
- Creating custom APIs using frameworks such as FAST-API, Django, Flask
- Have experince deploying ML models into production
- Training LLMs with LoRA and QLoRA
- experience with Quantization
- Containerizing code via docker
- Setting up MLOps pipelines with frameworks such as Data version control (DVC)
- Creating Ci/CD pipelines
- Image segmentation
- Object detection
- facial recognition
Qualifications:
- Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
- Experience:
- 4 - 6 years of experience in ML model development, including hands-on experience with NLP, NER, and LLMs.
- Experience with neural network design and implementation.
- Technical Skills:
- Proficiency in Python, with good knowledge of ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience in developing and implementing models using BERT, RAG, LangChain, and other advanced ML techniques.
- Familiarity with image processing techniques
- Deep theoretical understanding of how models work, including underlying mathematical principles.
- Document methodologies and innovations thoroughly; prepare detailed reports and presentations for technical and non-technical stakeholders.
- Collaborate with cross-functional teams to ensure models are well-integrated into the company's product ecosystem.
- Optimize neural network architectures and parameters for improved performance across various tasks.
- Utilize techniques like Language Model Chaining and Retriever-Augmented Generation (RAG) to enhance text-based applications.
Nice to have :
- experience with auto scaling
- experience with GANs
- experience with stable diffusion based models
- experience with 3D neural networks
- experience with Meta learning
- worked on Raspberry PI or embedding systems and deployed ML model onto them before
Job Type: Full-time
Application Question(s):
- Are you comfortable with the onsite setting ?
Experience:
- Machine Learning : 4 years (Required)
Location:
- Lahore (Required)
Work Location: In person