Job Overview
Location
Remote
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
February 22, 2026
Full Job Description
đź“‹ Description
- • Are you a visionary Software Engineer with a passion for Generative AI and a knack for transforming complex business challenges into elegant, automated solutions? Workana Premium is partnering with a forward-thinking client to onboard a **GenAI Applied AI Software Engineer** who will be instrumental in shaping the future of AI and automation within dynamic contact center and Business Process Outsourcing (BPO) environments. This is a unique opportunity for a hands-on engineer who thrives on building, deploying, and iterating on cutting-edge AI models and applications that deliver tangible business value.
- • In this pivotal role, you will be at the forefront of applying advanced AI techniques, particularly Generative AI, to solve real-world problems. You will collaborate closely with cross-functional teams, including product managers, data scientists, and business stakeholders, to understand intricate operational needs and translate them into actionable AI-driven strategies. Your expertise will be crucial in designing, developing, and implementing AI solutions that enhance efficiency, improve customer experiences, and unlock new capabilities within the contact center and BPO sectors.
- • Your day-to-day responsibilities will encompass the entire AI development lifecycle. This includes researching and evaluating state-of-the-art GenAI models and techniques, such as Large Language Models (LLMs), transformer architectures, and diffusion models, to determine their applicability to specific business use cases. You will be responsible for data preprocessing, feature engineering, model training, fine-tuning, and rigorous evaluation to ensure optimal performance and accuracy.
- • A significant part of your role will involve deploying these AI models into production environments, ensuring scalability, reliability, and maintainability. This requires a strong understanding of MLOps principles, CI/CD pipelines for AI, and cloud-based infrastructure. You will also be tasked with monitoring model performance in real-time, identifying drift, and implementing strategies for continuous improvement and retraining.
- • You will play a key part in developing innovative applications that leverage GenAI capabilities. This could include building intelligent chatbots and virtual assistants that can handle complex customer queries, developing automated content generation tools for customer service agents, creating sophisticated summarization engines for call transcripts, or designing predictive analytics models to anticipate customer needs and agent performance.
- • Furthermore, you will contribute to the ethical and responsible development of AI, ensuring that solutions are fair, transparent, and aligned with company policies and industry best practices. This involves understanding potential biases in data and models and implementing mitigation strategies.
- • The ideal candidate will possess a deep technical understanding of AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) and extensive experience with programming languages like Python. Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services is essential for deploying and scaling solutions.
- • You will be expected to stay abreast of the rapidly evolving landscape of Generative AI, continuously learning and experimenting with new tools, techniques, and research papers. Your ability to translate complex technical concepts into clear, concise explanations for non-technical audiences will be vital for effective collaboration and stakeholder management.
- • This role offers the chance to make a significant impact by directly contributing to the technological advancement of our client's operations. You will be part of a team that values innovation, collaboration, and a data-driven approach to problem-solving. If you are a proactive, results-oriented engineer eager to push the boundaries of what's possible with AI, we encourage you to apply.
- • Key responsibilities will include:
- • Designing, developing, and deploying Generative AI models and applications tailored for contact center and BPO use cases.
- • Fine-tuning pre-trained LLMs and other GenAI models for specific domain tasks.
- • Implementing robust data pipelines for training, validation, and inference.
- • Developing and maintaining MLOps pipelines for continuous integration, delivery, and monitoring of AI models.
- • Collaborating with stakeholders to define AI project requirements and success metrics.
- • Evaluating model performance, identifying areas for improvement, and implementing optimization strategies.
- • Researching and integrating new AI technologies and methodologies into existing workflows.
- • Ensuring the scalability, reliability, and security of deployed AI solutions.
- • Contributing to the ethical considerations and responsible AI practices within the team.
- • Documenting technical designs, processes, and model performance.
🎯 Requirements
- • Proven experience in developing and deploying machine learning models, with a strong emphasis on Generative AI techniques (e.g., LLMs, transformers, diffusion models).
- • Proficiency in Python and common AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers.
- • Experience with cloud platforms (AWS, Azure, or GCP) and their associated AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
- • Solid understanding of MLOps principles and tools for CI/CD, model monitoring, and lifecycle management.
- • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.
- • Excellent problem-solving skills and the ability to work independently and as part of a team.
🏖️ Benefits
- • Competitive salary and performance-based bonuses.
- • Fully remote work arrangement, offering flexibility and work-life balance.
- • Opportunities for professional development, including access to training, conferences, and certifications.
- • Exposure to cutting-edge AI technologies and challenging real-world projects.
- • Collaborative and innovative work environment.
- • Comprehensive health benefits package.
Skills & Technologies
Remote
About Workana Limited
Workana is a leading freelance platform connecting businesses with skilled professionals across Latin America. It facilitates remote work by offering a marketplace for a wide range of services, including design, programming, marketing, translation, and administrative support. Companies can post projects, and freelancers can bid on them, fostering a dynamic and efficient hiring process. Workana emphasizes security, payment protection, and dispute resolution to ensure a trustworthy environment for both clients and freelancers. The platform aims to empower individuals and businesses by democratizing access to talent and opportunities within the digital economy.
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