Machine Learning Engineer Jobs at Code Graphers in Lahore, Punjab

Company Code Graphers is offering job opportunities for the position of Machine Learning Engineer in the Punjab area. The job type available is Full-time.

We are looking for candidates who possess skills with beginners/seniors experience. We value honesty, discipline, and responsibility in our employees.

The estimated salary offered by the company is quite competitive, around Rs 27,000 - Rs 110,000 (per Month). However, the salary may vary depending on the company's decision.

Code Graphers operates in the (according to the company) industry. If you are interested in applying to this company, please proceed with your application.

Job Information

Job Description

Experience: 2 – 3 Year

Job Type: Full Time (Onsite)

Location: Gulberg II, Lahore

Requirements:

• 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.
• 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 multimodal systems that leverage both text and visual data.
• Research, Documentation, and Reporting:
• Conduct ongoing research to stay ahead of new trends and techniques in machine learning, deep learning, and AI.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Experience:
• 2 – 3 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 is a plus.
• 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.

Benefit

• Overtime bonus
• Gaining experience
• Comfortable work environment

Application Requirements

• Relevant formal education
• Work experience in the related industry is a plus
• Ability to adapt and learn quickly

Company address