
About this role
The candidate will drive the design and delivery of advanced Generative AI solutions within SoftServe's AI and Data Science Center of Excellence. Responsibilities include maintaining close collaboration with data scientists, ML engineers, and DevOps teams to accelerate the productization of machine learning pipelines. The role involves driving innovation in Generative AI and language models for high-impact content generation solutions. The professional will build scalable AI infrastructure and delivery processes to improve reliability and deployment efficiency. The technical environment involves working with large-scale transformer and diffusion models, including GPT-class and open-source LLMs, using Python, TensorFlow, or PyTorch. The role is highly collaborative and client-facing, requiring alignment of AI capabilities with global enterprise clients' business needs.
Skills & technologies
Must have
- Generative AI
- NLP
- Transformer Models
- Diffusion Models
- LLM
- Python
- TensorFlow
- PyTorch
- Cloud Deployment
Read full description
In this role, you will drive the design and delivery of advanced Generative AI solutions across the full lifecycle, from discovery to production deployment. You will operate within SoftServe’s AI and Data Science Center of Excellence, contributing to large-scale, impact-driven AI initiatives for global clients. Your work will advance innovation in language generation and applied AI while shaping scalable, enterprise-ready solutions.
Responsibilities
- Maintain close collaboration with data scientists, ML engineers, and DevOps teams to accelerate the productization and integration of machine learning pipelines into enterprise environments
- Drive innovation in Generative AI and language models to enable high-impact, AI-powered content generation solutions across client projects
- Communicate and collaborate with global enterprise clients to align AI capabilities with business needs and measurable outcomes
- Build scalable AI infrastructure and delivery processes that improve solution reliability, reusability, and deployment efficiency
- Contribute to cross-functional AI initiatives that leverage multidisciplinary expertise to reduce delivery risk and increase solution impact
- Apply modern AI tools and platforms to support experimentation, deployment, and continuous improvement across projects
- Participate in internal and external knowledge-sharing activities to strengthen AI practices and industry presence
- Strong knowledge of Generative AI, NLP techniques, and large-scale transformer and diffusion models, including GPT-class and open-source LLMs
- Advanced experience with Python and deep learning frameworks such as TensorFlow or PyTorch across model development and deployment
- Strong knowledge of the end-to-end AI project lifecycle, including experimentation, operationalization, and cloud-based deployment
- Advanced experience with fine-tuning and applying deep learning models for text and image generation use cases
- Proven experience leading AI initiatives and translating advanced technical concepts into business-relevant solutions
- Proven proficiency in communicating complex ideas clearly to both technical and non-technical stakeholders
- Strong analytical, problem-solving, and interpersonal skills in collaborative, client-facing environments
- Proven skills in communicating professionally in English at an upper-intermediate business level