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ML Engineer

ML Engineer

Req ID#:  390948

FR FR FR

Job Description: 

About Us

Foundever™ is a global leader in the customer experience (CX) industry. With 170,000 associates across the globe, we are the team behind the best experiences for +750 of the world’s leading and digital-first brands. Our innovative CX solutions, technology, and expertise are designed to support operational needs for our clients and deliver a seamless experience to customers in the moments that matter.   

We are looking for an ML Engineer (LLM Expert) to join our team and drive the development of advanced machine learning models, specifically focusing on Large Language Models (LLMs), to enhance our AI-driven applications. 

Job Summary

We are seeking an experienced ML Engineer researcher with expertise in Large Language Models to join our AI team. You will be responsible for designing, implementing, and deploying advanced machine learning models, bringing cutting-edge research from concept to implementation. Working closely with data, software engineers, and product managers, you will create AI-driven applications that have a direct impact on our business. 

This role requires a strong research-focus mindset, programming skills in Python, proficiency in major ML frameworks and tools, and understanding of the latest developments in machine learning and AI. You should be comfortable working in a fast-paced environment where priorities may shift and be willing to own problems end-to-end. 

Primary Job Responsibilities

  • Design and deploy advanced machine learning models, focusing on Large Language Models (LLMs) to solve Gen AI-based product problems. 

  • Bring research concepts to implementation, creating AI-driven applications with direct business impact. 

  • Collaborate closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. 

  • Implement scalable data pipelines and optimize models for performance and accuracy. 

  • Ensure models are production-ready and maintain them to continue delivering value. 

  • Stay updated with the latest developments in machine learning and AI. 

Experience

  • Minimum of 5 years of experience in machine learning engineering, with a focus on NLP and Large Language Models. 

  • Demonstrated experience in deep learning and transformer models. 

  • Proven expertise in building fine-tuned LLMs and implementing the latest research techniques such as continuous pre-training, (Q)Lora, RLHF, RLAIF, DPO, etc. 

  • Strong foundation in data structures, algorithms, and software engineering principles. 

  • Research publication in ML field.

Skills / Abilities / Knowledge

  • Strong programming skills in Python. 

  • Proficiency in major ML frameworks and tools: PyTorch, TensorFlow, Hugging Face, Matplotlib. 

  • Experience with ML operations tools like Weights & Biases (wandb), MLflow. 

  • Excellent problem-solving skills and the ability to work in fast-paced environments with shifting priorities. 

  • Ability to collaborate effectively with cross-functional teams. 

  • Strong communication skills, both written and verbal.

Education

Masters in Engineering or a related field

Languages

  • Excellent conversational and written knowledge in English (C1 level minimum).
  • French and Spanish language skills are a bonus.

Tools and Applications

  • ML frameworks and tools: PyTorch, TensorFlow, Hugging Face.
  • ML operations tools: Weights & Biases (wandb), MLflow.
  • Data visualization tools: Matplotlib, Power BI.
  • Version control systems and collaborative development platforms.

Our Offer

  • Impactful work. Opportunity to work on cutting-edge AI technologies that will be game-changers for our business.
  • Professional growth. Continuous learning and development opportunities in a dynamic, remote work environment.
  • Competitive compensation. Attractive salary and benefits package.
  • Collaborative environment. A supportive team culture with opportunities for occasional travel for training and industry events.


Job Segment: Software Engineer, Engineer, Engineering

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