Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
AI Engineer with Data Science Background image - Rise Careers
Job details

AI Engineer with Data Science Background

We are seeking a highly skilled and motivated AI Engineer with a strong background in Data Science to join our dynamic team. The ideal candidate will have excellent experience in production-level AI implementation and hands-on expertise in data clustering, data mining, and feature extraction. Key Responsibilities Develop and implement production-level Generative AI models within an agentic architecture. Utilize local LLMs, OpenAI fine-tuning, and RAG techniques. Design and optimize prompts for AI models to enhance performance and user interaction. Work with embeddings to improve the accuracy and relevance of AI models. Apply data science techniques to extract, cluster, and analyze data to drive AI model improvements. Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions. Continuously monitor and improve AI models to ensure high performance and accuracy. Conduct research and stay up-to-date with the latest advancements in AI and data science. Create and maintain comprehensive documentation for AI models and data science processes. Requirements Bachelor's or Master’s degree in Computer Science, Data Science, or a related field. Proven experience in developing and deploying Generative AI models in a production environment. Strong proficiency in data clustering, data mining, and feature extraction techniques. Experience with local LLMs, OpenAI fine-tuning, and Retrieval-Augmented Generation (RAG). Proficiency in prompt engineering and working with embeddings. Proficiency in programming languages such as Python and C#. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with MLOps practices and tools. Knowledge of natural language processing (NLP) techniques and applications. Prior experience in a startup or fast-paced tech environment. What We Offer: - Competitive salary and benefits package.- Opportunities for professional growth and development. - A collaborative and innovative work environment. - The chance to work on cutting-edge AI projects with a talented and dedicated team. If you are passionate about AI and Data Science and eager to contribute to impactful projects, we would love to hear from you.
HopHR Glassdoor Company Review
4.2 Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon
HopHR DE&I Review
4.3 Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon
CEO of HopHR
HopHR CEO photo
Nazli Nadem
Approve of CEO
MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
September 2, 2024

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!
Other jobs
Company
Customer-Centric
Rapid Growth
Diversity of Opinions
Reward & Recognition
Friends Outside of Work
Inclusive & Diverse
Empathetic
Feedback Forward
Work/Life Harmony
Casual Dress Code
Startup Mindset
Collaboration over Competition
Fast-Paced
Growth & Learning
Open Door Policy
Rise from Within
Maternity Leave
Paternity Leave
Flex-Friendly
Family Coverage (Insurance)
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
401K Matching
Paid Holidays
Paid Sick Days
Paid Time-Off
Company
Posted 3 months ago
Company
HopHR Remote No location specified
Posted 25 days ago