TL;DR
Senior Staff Engineer, Machine Learning (AI): Delivering impactful solutions in NLP, machine vision, and AI with an accent on AI/ML architecture design and implementation in data / big data using cloud infrastructure. Focus on designing and building prompts for prompt development and templates, also developing AI agents as part of multi-agent systems for autonomous/semi-autonomous decision-making and agent orchestration.
Company
hirify.global is a Digital Product Engineering company that builds products, services, and experiences.
What you will do
- Convert client’s business use cases and technical requirements into technical design.
- Define guidelines and benchmarks for NFR considerations during project implementation.
- Review architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc.
- Develop and design the overall solution for defined functional and non-functional requirements.
- Understand and relate technology integration scenarios and applying these learnings in projects.
- Resolve issues that are raised during code/review, through exhaustive systematic analysis of the root cause.
Requirements
- Total experience: 10+ Years.
- Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI.
- Must have experience in AI/ML architecture design and implementation in data / big data using cloud infrastructure.
- Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn.
- Should have designed, developed, and deployed a few AI agents as part of multi-agent systems for autonomous/semi-autonomous decision-making and agent orchestration.
- Strong understanding of LLMs and foundation models with an expertise in designing and building prompts for prompt development and templates.
- Practical experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), and the ability to apply them to real-world problems.
- Excellent problem-solving skills, with a creative and analytical mindset.
- Strong communication and teamwork skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels.
- Experience with AI ethics and responsible AI practices
Qualifications
- Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
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