Artificial Intelligence Research Engineer
2 weeks ago
About Kreeda Labs :
Our company is seeking an experienced Artificial Intelligence Research Engineer to join our team of innovators.
This role will be responsible for implementing AI and machine learning solutions on cloud-based platforms, exploring emerging trends in AI, developing proofs-of-concept, and engaging with the internal and external ecosystem to progress the proof of concepts to production.
Key Responsibilities :
- Develop AI & Machine Learning solutions on cloud-based platforms.
- Discover data sources, get access to them, import them, clean them up, and convert them to trainable format.
- Ability to understand & implement research papers, custom models.
- Build backend systems that interact with other microservices.
- Experienced in building advance RAG solutions (RAG, Graph RAG, CRAG, re-ranking)
- Engineer machine intelligence systems and infrastructure for real-world production use at scale.
- Should be able to understand the problem statement and be able to justify the usage of AI/ML as a solution.
- Be able to quickly prototype and provide results.
- Explore data features and manipulate data with SQL and scripts.
- Partner with internal (FIL teams) & external ecosystems to design and deliver AI & ML solutions.
- Explore emerging trends in AI & Machine learning and develop prototypes.
- Effective communication and teamwork skills are required for this role.
- Develop and integrate Generative AI models and solutions, such as text generation, image generation, and style transfer.
- Experience In agent-based architecture with or without frameworks like Lang chain/ Llama Index.
- Implement and fine-tune large language models (LLMs) and other transformer-based architectures for various applications.
- Explore and utilize tools and frameworks like GPT-3/4, BERT, DALL-E, and others for developing innovative AI applications.
Requirements :
- Strong working experience in a variety of analytical techniques including data pre-processing, basic ML techniques & other advanced models like in Deep Learning.
- Good Experience in model building & optimization and data visualization.
- Excellent knowledge and good practical skills in major ML algorithms as applied to Natural Language Processing and Computer Vision & Graph Networks.
- Strong experience in developing AI & Machine Learning solutions on cloud platforms like AWS / Microsoft Azure /GCP.
- Good understanding of SQL query development.
- Familiarity with data platforms like Snowflake would be an added advantage.
- Familiarity with MLOps (Machine Learning Operations) would be an added advantage.
- Familiarity with advanced Computer Vision model development would be an added advantage.
- Practical experience with deep learning projects is highly valued.
- Ability to improve the accuracy, runtime, scalability, and reliability of machine intelligence systems.
- Strong in understanding underlying math and algorithms.
- Passion for continuing to learn state-of-the-art techniques in ML/Data science.
- Experience with Generative AI models and techniques.
- Proficiency with frameworks and libraries for building and training generative models.
- Strong understanding of transformer-based architectures and their applications.
Pre-requisites :
- The ideal candidate should be an immediate joiner or already on notice period less than 15 days.
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