AI/ML Engineer
Posted on March 18, 2025
Job Description
- ob Description:
- As an AI/ML Engineer specializing in Generative AI, you will be responsible for designing, developing,
- and deploying cutting-edge generative models and solutions that drive key product features and
- innovations. You will collaborate with cross-functional teams to build AI systems that deliver
- high-quality, scalable, and impactful solutions. Your expertise in machine learning, deep learning, and
- generative models will be crucial in helping us push the boundaries of what is possible with AI.
- Responsibilities:
- ? Design, develop, and deploy advanced AI/ML models, with a focus on Generative AI
- solutions and RAG Architectures.
- ? Architect and implement scalable machine learning pipelines for model training and
- deployment.
- ? Conduct research and stay up-to-date with the latest advancements in AI/ML and
- Generative AI technologies.
- ? Develop and maintain documentation for AI/ML models, processes, and tools.
- ? Collaborate with data engineers, data scientists, and product teams to identify
- opportunities and translate business needs into technical solutions.
- ? Optimize and fine-tune algorithms for performance, scalability, and robustness in
- production environments.
- ? Lead the technical vision and direction for generative AI projects, ensuring alignment
- with business objectives.
- ? Provide mentorship and technical guidance to junior engineers and contribute to the
- team's growth.
- ? Conduct thorough tests and experiments on machine learning models to ensure their
- reliability and effectiveness.
- ? Participate in code and design reviews to maintain high standards of software quality.
- ? Ensure compliance with best practices in data privacy and security.
- Preferred Skills:
- ? Expertise in natural language processing (NLP), neural networks, and deep learning
- technologies.
- ? Experience with large language models (LLMs) and their applications.
- ? Experience with cloud computing platforms (Oracle Cloud Infrastructure, AWS, Google Cloud ,
- Azure) and container orchestration tools (Docker, Kubernetes).
- ? Familiarity with data preprocessing, augmentation, and feature engineering techniques.
- ? Experience with version control systems like Git and collaborative tools such as JIRA or
- Confluence.
- ? Knowledge of Reinforcement Learning and other advanced AI methodologies.
- Qualifications:
- ? Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or
- a related field.
- ? Minimum of 8 years of experience in machine learning, with at least 1-2 years of hands-on
- experience in Generative AI.
- ? Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or similar.
- ? Strong programming skills in Python and familiarity with other languages such as C++ or Java.
- ? Demonstrated experience in deploying machine learning models to production.
- ? Strong understanding of algorithms, data structures, and software engineering principles.
- ? Excellent problem-solving skills and the ability to work independently as well as collaboratively.
- ? Strong communication skills with the ability to explain complex technical concepts to
- non-technical stakeholders.
- ? Certifications in AI/ML and Generative AI are a plus.
Required Skills
generative ai reinforcement learning docker and kubernetes jira or confluence llm