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Machine Learning Engineer
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Machine Learning Eng....
drjobs Machine Learning Engineer العربية

Machine Learning Engineer

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1 Vacancy
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Job Location

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India

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

About CLient Join our elite team as a Senior Machine Learning Engineer A leader in AI and machine learning innovation. Youll play a crucial role in advancing our cuttingedge machine learning technologies. Your responsibilities will include collaborating with toptier researchers software engineers and data scientists to enhance develop and implement advanced machine learning models addressing some of the most challenging problems in the field.

Key Responsibilities:

Large Language Model (LLM) Mastery:
Advanced Model Architecture: Deep understanding and experience with LLM architectures including Transformers GPT variants BERT etc.
Sophisticated LLM Deployment: Skilled in deploying advanced pretrained models like GPT4 BERT etc.
Expert Finetuning: Proven track record in finetuning LLMs for specialized tasks.
Comprehensive Training from Scratch: Extensive experience in training LLMs from the ground up including complex data handling addressing computational challenges model stability and innovation and advanced hyperparameter optimization.
Research and Algorithm Development:
Lead and innovate in the design and implementation of machine learning algorithms ensuring fairness and interpretability.
Oversee data management and perform advanced data preprocessing techniques.
Model Implementation and Validation:
Develop scalable and efficient machine learning models using advanced frameworks.
Implement and oversee thorough validation processes to ensure model integrity.
Optimization and Scaling:
Lead in model optimization for enhanced computational efficiency and accuracy.
Collaborate with infrastructure teams for largescale model deployment.
Deployment:
Convert research algorithms into productionlevel code ensuring seamless integration into Qx Lab AI s platforms.
Work with DevOps for cloudbased deployment focusing on maintainability and robustness.
Performance Monitoring and Maintenance:
Develop tools for continuous model performance monitoring.
Proactively address performance issues and update models based on metrics and new data.
Collaboration and Communication:
Engage with various teams and stakeholders integrating machine learning solutions into broader operations.
Clearly communicate complex machine learning concepts to diverse audiences.
Continued Learning and Mentorship:
Stay abreast of the latest developments in machine learning and related fields.
Mentor and guide junior engineers and interns promoting a culture of learning and growth.

Required:
Bachelor s Degree in Computer Science Engineering Statistics or related field.
Minimum of 6 years of experience in machine learning or a related field.
Advanced programming skills in Python C or similar.
Extensive experience with TensorFlow PyTorch or similar frameworks.
Deep understanding of machine learning algorithms and principles.
Demonstrated expertise in LLMs.
Experience with cloud computing services (AWS Azure GCP etc.).
Solid grasp of software engineering best practices.
Exceptional problemsolving skills.
Outstanding communication skills both written and verbal.
Preferred:
Master s Degree or PhD in a related field.
Experience in NLP or computer vision.
Published research in machine learning AI or specifically LLMs.
Agile environment experience.

machine learning algorithms,tensorflow,agile,computer vision,agile environment experience,azure,aws,pytorch,gcp,nlp,large language models (llms),software engineering,c++,machine learning,cloud computing services,python

Employment Type

Full Time

Company Industry

Key Skills

  • Industrial Maintenance
  • Machining
  • Mechanical Knowledge
  • CNC
  • Precision Measuring Instruments
  • Schematics
  • Maintenance
  • Hydraulics
  • Plastics Injection Molding
  • Programmable Logic Controllers
  • Manufacturing
  • Troubleshooting

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