Gen AI / AIML Architect Full-time

Description

Design and develop machine learning algorithms and deep learning applications and systems.
Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.
Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.
Identify differences in data distribution that could potentially affect model performance in real-world applications.
Ensure algorithms generate accurate user recommendations.
Stay up to date with developments in the machine learning industry.
Roles and Responsibilities
Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.
Run machine learning tests and experiments, and document findings and results.
Train, retrain, and monitor machine learning systems and models as needed.
Construct optimized data pipelines to feed machine learning models.
Consult with managers to determine and refine machine learning objectives.
Extend existing machine learning libraries and frameworks.
Required Skills and qualifications.
10+ years of overall Gen AI/ AI ML development experience.
Exposure on Python, Vertex AI, Tensor flow, DocAI, GKE, Cloud Functions, Serverless, Cloud Run, Terraform, Lang chain, Vector DB, One Few Short Learning, Gemini FM, notebooks, NLP, OCR, NER, RAF, LLM.
Impeccable analytical and problem-solving skills
5+ years of strong hands-on experience as Python Developer.
Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms
In-depth knowledge of machine learning frameworks, like Keras or PyTorch
Familiarity with data structures, data modeling, and software architecture
Excellent time management and organizational skills
Desire to learn.
Excellent communication and collaboration skills
Innovative mind with a passion for continuous learning
General knowledge of building machine learning systems
Bachelors degree (or equivalent) in computer science, mathematics, or related field