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Senior ML/GenAI Engineer IRC248603
| Job: | IRC248603 |
| Location: | Poland |
| Designation: | Senior Software Engineer |
| Experience: | 5-10 years |
| Function: | Engineering |
| Skills: | AI, Computer Vision, Data Science, generative ai (genai), Machine Learning |
| Work Model: | Remote |
Description:
We are seeking a highly skilled and motivated AI Developer to join our dynamic team, focusing on developing, deploying, and optimizing Large Language Models for chatbot applications. This role involves working on cutting-edge AI technologies to create conversational agents that provide engaging and insightful interactions with users. The ideal candidate will have a strong background in machine learning, Natural Language Processing, and experience in developing LLM-based chatbots.
#LI-AR1
Requirements:
Required:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- +7 years of experience in machine learning and NLP, with a focus on developing applications using LLMs.
- Proficiency in programming languages such as Python and frameworks/libraries like TensorFlow, PyTorch, and Hugging Face Transformers.
- Experience with cloud services (AWS, Azure, GCP) for deploying ML models and applications.
- Strong understanding of RESTful APIs for integrating chatbot functionalities into different platforms.
- Familiarity with version control tools (e.g., Git) and ML development tools (e.g., Jupyter Notebooks, MLflow).
- Participate in pre-sales activities, including developing ML offering materials and engaging with clients to understand their needs, presenting tailored solutions, and demonstrating the potential impact of our ML technologies.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Preferred:
- Knowledge of front-end technologies (HTML, CSS, JavaScript) for crafting interactive chatbot interfaces is advantageous but not required.
- Certifications or advanced training in machine learning, cloud architectures, or similar fields.
- Active participation in relevant tech communities or contributions to open-source projects in the ML/NLP domain.
Job Responsibilities:
- Design and implement scalable machine learning models and algorithms that can process large volumes of data efficiently.
- Lead the development of our ML infrastructure, ensuring it supports both current needs and future growth.
- Support presale PoCs and project/account-starting activities
- Architect and optimize data pipelines for training and deploying machine learning models.
- Collaborate with data engineers and software developers to integrate ML models into production systems.
- Stay informed about new developments in machine learning, AI, and data science and assess their applicability to our business needs.
- Work with product teams to translate business requirements into technical specifications and ML solutions.
Was wir anbieten
Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.
Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.
DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.
Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.
Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.
Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.