Data Science Expert in Generative AI

Qualifications

• Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI-based solutions in production

• Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation, Fine-tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc

• Strong background in machine learning, deep learning, and probabilistic modeling

• Proficiency in modern data science tools and frameworks, such as PyTorch, TensorFlow, JAX, Scikit-learn, and Keras

• Experience designing and implementing large-scale data pipelines and processing systems

• Experience working with server-side frameworks like FastAPI and API development, documentation, and versioning

• Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins), and containerization technologies (Docker, Kubernetes)

• Strong programming skills in Python and experience working with version control systems (Git)

• Excellent communication and teamwork skills

• Experience mentoring junior colleagues and interns

Responsibilities

• This role requires an experienced Data Scientist to work on cutting-edge Generative AI projects, collaborating with cross-functional teams to drive innovation and growth

• Develop and deploy high-quality generative AI models for various applications, focusing on text generation and semantic entity extraction

• Work closely with stakeholders to identify business needs, define project scopes, and establish data-driven solutions

• Provide technical leadership and mentorship to junior data scientists and interns

• Stay current with the latest advancements in Generative AI and related fields

• Collaborate with engineering and product management teams to integrate models into production environments

• Ensure high-quality project deliverables and evaluate project performance and security standards

• Effectively communicate complex ideas and results to both technical and non-technical audiences

Full Description

About ProArch

We are committed to delivering exceptional AI-powered solutions that drive business growth and innovation.

Job Overview:

This role requires an experienced Data Scientist to work on cutting-edge Generative AI projects, collaborating with cross-functional teams to drive innovation and growth.

Responsibilities:

• Develop and deploy high-quality generative AI models for various applications, focusing on text generation and semantic entity extraction.

• Work closely with stakeholders to identify business needs, define project scopes, and establish data-driven solutions.

• Provide technical leadership and mentorship to junior data scientists and interns.

• Stay current with the latest advancements in Generative AI and related fields.

• Collaborate with engineering and product management teams to integrate models into production environments.

• Ensure high-quality project deliverables and evaluate project performance and security standards.

• Effectively communicate complex ideas and results to both technical and non-technical audiences.

Requirements:

• Master's degree in Computer Science, Statistics, Mathematics, or a related field required; Ph.

D. preferred.

• Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI-based solutions in production.

• Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation, Fine-tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc.

• Strong background in machine learning, deep learning, and probabilistic modeling.

• Proficiency in modern data science tools and frameworks, such as PyTorch, TensorFlow, JAX, Scikit-learn, and Keras.

• Experience designing and implementing large-scale data pipelines and processing systems.

• Experience working with server-side frameworks like FastAPI and API development, documentation, and versioning.

• Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins), and containerization technologies (Docker, Kubernetes).

• Strong programming skills in Python and experience working with version control systems (Git).

• Excellent communication and teamwork skills.

• Experience mentoring junior colleagues and interns.