What are the responsibilities and job description for the AI/ML Architect position at GLOBAL IT CON LLC?
Job Details
Greetings from Global IT Con. LLC
My name is Kanchan and I am a Recruiter at Global IT Con LLC. I have an excellent job opening for the position of AI/ML Architect So, if you are available in the job market, please go through the below job description and revert me back with your updated copy of resume. You can reach me directly email me at
AI/ML Architect
Location: Bay Area, California (Weekly 2 days onsite)
Overview: We are seeking experienced AI/ML Architects to join our team in the Bay Area. As an AI/ML Architect, you will design and implement machine learning and artificial intelligence solutions that drive business value and innovation. You will work closely with both business and technical teams to ensure the successful integration of AI/ML technologies within existing systems and processes.
Key Responsibilities:
- Design AI/ML architectures and solutions based on business requirements.
- Develop and deploy machine learning models and algorithms.
- Guide teams in building, training, and evaluating models using various AI/ML techniques.
- Ensure scalability and efficiency of AI/ML solutions.
- Collaborate with data engineers to build data pipelines for machine learning models.
- Stay up to date with the latest advancements in AI/ML research and technologies.
- Provide technical leadership and mentoring to other team members.
- Collaborate with stakeholders to identify business problems that can be solved using AI/ML.
Required Skills & Qualifications:
- Proven experience in AI/ML architecture and solution design.
- Strong proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.
- Expertise in data preprocessing, feature engineering, model selection, and evaluation.
- Knowledge of cloud computing platforms such as AWS, Google Cloud Platform, or Azure.
- Familiarity with big data tools (e.g., Hadoop, Spark).
- Strong programming skills in Python, R, or Java.
- Excellent communication skills to articulate complex concepts to both technical and non-technical stakeholders.
- PhD or Master s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
Preferred Skills:
- Experience with deep learning, NLP, computer vision, or reinforcement learning.
- Familiarity with deployment frameworks such as Kubernetes, Docker, or Flask.
- Experience in integrating AI/ML models with RPA solutions.
