Senior Generative AI & NLP Machine Learning Engineer

Description

Our client is a rapidly growing, automation-led service provider specializing in IT, business process outsourcing (BPO), and consulting services. With a strong focus on digital transformation, cloud solutions, and AI-driven automation, they help businesses optimize operations and enhance customer experiences. Backed by a global workforce of over 32,000 employees, our client fosters a culture of innovation, collaboration, and continuous learning, making it an exciting environment for professionals looking to advance their careers.

Committed to excellence, our client serves 31 Fortune 500 companies across industries such as financial services, healthcare, and manufacturing. Their approach is driven by the Automate Everything, Cloudify Everything, and Transform Customer Experiences strategy, ensuring they stay ahead in an evolving digital landscape. 

As a company that values growth and professional development, our client offers global career opportunities, a dynamic work environment, and exposure to high-impact projects. With 54 offices worldwide and a presence in 39 delivery centers across 28 countries, employees benefit from an international network of expertise and innovation. Their commitment to a 'customer success, first and always' philosophy ensures a rewarding and forward-thinking workplace for driven professionals.

We are currently searching for a Senior Generative AI & NLP Machine Learning Engineer:

Responsibilities

• Design and implement machine learning models (traditional ML, deep learning) to solve complex business problems across diverse domains.
• Develop NLP solutions including sentiment analysis, text classification, entity recognition, and language generation.
• Innovate with Generative AI techniques (e.g., GANs, Transformers, LLMs) to create state-of-the-art applications.
• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
• Validate and optimize models through hyperparameter tuning, performance testing, and scalability checks.
• Stay updated with advancements in AI/ML research and integrate cutting-edge methodologies.

Requirements

• 4+ years of experience in AI/ML engineering, with a focus on generative AI, NLP, and deep learning.
• Expertise in traditional ML (regression, classification, clustering) and DL frameworks (TensorFlow, PyTorch).
• Hands-on experience in NLP tasks (sentiment analysis, text classification) and Generative AI tools (e.g., GPT, Llama, diffusion models).
• Proven ability to validate model quality, reliability, and scalability through rigorous testing.
• Strong proficiency in Python and ML lifecycle management (data prep, training, deployment).
• Ability to thrive in a remote, collaborative environment with cross-functional teams.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Fully remote

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Requirements

Requirements

• 4+ years of experience in AI/ML engineering, with a focus on generative AI, NLP, and deep learning.
• Expertise in traditional ML (regression, classification, clustering) and DL frameworks (TensorFlow, PyTorch).
• Hands-on experience in NLP tasks (sentiment analysis, text classification) and Generative AI tools (e.g., GPT, Llama, diffusion models).
• Proven ability to validate model quality, reliability, and scalability through rigorous testing.
• Strong proficiency in Python and ML lifecycle management (data prep, training, deployment).
• Ability to thrive in a remote, collaborative environment with cross-functional teams.