Job description

## 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.

Requirements