WovV Technologies

1 week ago


India Wovv Technology Full time
Experience :
Minimum 4.5 + years in relevant field


Job Summary :


Join our elite team as a Senior Machine Learning Engineer at Qx Lab AI, a leader in AI and machine learning innovation.

You'll play a crucial role in advancing our cutting-edge machine learning technologies.

Your responsibilities will include collaborating with top-tier 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 Details :

Candidate should have their own laptops

Notice Period:
Immediate only


Experience Range:
Minimum 4.5 + years


Specific Skills Required:

Hands-on experience in Machine Learning (ML)

Expertise in Large Language Models (LLMs)

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 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 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.
Process :

  • Candidates submit a completed assignment along with their CV.
  • Only candidates whose submissions meet the criteria will proceed to the next stage.

Technical Round 1:
Q&A Session

Technical Round 2:
Online Test

Final Round:
Technical Evaluation and Cultural Fit
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