What are the responsibilities and job description for the AI/ML Architect / Data Scientist Architect position at Quantum World Technologies Inc.?
Job Title : AI / ML Architect / Data Scientist Architect
Location : Onsite - NYC (Candidates needs to be located in NY / NJ area)
Contract : Contract
Job Description : Role Description :
- Drive AI Strategy & Innovation : Oversee Artificial Intelligence initiatives, delivering cutting-edge solutions in generative AI, ML, and advanced analytics.
- We specialize in leveraging the transformative power of generative AI to help businesses innovate, grow, and gain a competitive edge. With a focus on custom solutions and strategic implementations, our services are designed to navigate the complexities of AI technology and maximize its benefits for your organization.
- Consulting & Advisory Services : Develop a tailored AI strategy, assess AI opportunities and maturity, and ensure ethical AI practices.
- Development & Architecture Services : From custom POC development to AI solution design and synthetic data services, we create seamless integrations and optimize AI performance.
- Change Management & Adoption : Support your team through technological and cultural shifts for a smooth transition to advanced AI technologies.
- Specialized Assistance : Including LLM selection and evaluation, procurement support, vendor selection, and hyper scaler management with major cloud vendors.
- Artificial Intelligence / Machine Learning Engineer is responsible for designing and developing machine learning systems or AI products, implementing appropriate ML algorithms, and conducting experiments. They possess strong programming skills, knowledge of data science, and expertise in statistics.
- They work with data to create models, perform statistical analysis, and train and retrain models to optimize performance. Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating existing systems.
- Their goal is to build efficient self-learning applications and contribute to advancements in artificial intelligence.
- In order to thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles
Requirements and skills :
