We are seeking an experienced AI/ML engineer specializing in Generative AI and Natural Language Processing (NLP) to design, develop and deploy advanced AI solutions.
This role will be collaborating closely with the Product team, Frontend engineers, Backend engineers and QA engineers to integrate Artificial Intelligence features aligned with the product roadmap.
Specific responsibilities include:
Design, fine-tune and deploy LLM and Generative AI systems that cater to business needs, including automatic generation of text, Gherkin scenarios and test cases.
Evaluate the pros and cons of different NLP approaches and Generative AI platforms with comprehensive quantitative and qualitative analysis.
Continuously monitor model performance and retrain models as necessary to improve the accuracy and robustness.
Perform research and stay updated on the latest advancements in Generative AI technologies.
Develop AI/ML solution design documents based on the problem definition outlined in the Jira tickets.
Create clear and concise documentation for models, experiments and processes to ensure knowledge sharing.
Act as a coach to help peers and junior team members in building their AI/ML expertise.
About You
You should be self-motivated and have a proven track record of developing features for complex software with a strong background in software engineering principles. A proactive and energetic person with a desire to contribute collaboratively to the development of the team and the company.
You should be an enthusiastic learner, driven by career growth and a deep passion for emerging AI/ML technologies, must be able to work independently with minimal supervision while demonstrating good teamwork and excellent interpersonal, verbal and written communication skills.
Specific requirements include:
Bachelor/ Master/ PhD in Data Science/Computer Science, or a related field.
5+ years of experience in AI/ML engineering, data science or related roles, with a strong focus on Generative AI models.
Hands-on experience with LLM/GenAI including RAG, Vector DB, Embedding, Fine Tuning and Prompt Tuning.
Proficiency in Python programming, deep learning framework (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face, spaCy).
Familiarity with DevSecOps platforms such as GitLab and cloud platforms such as AWS or Azure.
Experience in test automation tool is a plus.
Other requirements include:
A passionate advocate of internet-based technologies.
Innovative: keen to research and identify new beneficial technologies.
Sociable, collaborative, proactive and enthusiastic.
Pragmatic.
Excellent interpersonal and verbal and written communication skills.#J-18808-Ljbffr