Overview:
The Artificial Intelligence Analyst plays a crucial role in leveraging AI technologies to drive strategic business initiatives. They are responsible for developing and implementing AI models and algorithms to extract valuable insights from data improve decisionmaking processes and enhance business performance.
Good to have skills
Mistral Large
Cohere Command R Plus
GPT 3.5
GPT 4
GPT 4 Turbo
GPT 4 Omni
Gemini Pro
Med LM
Gemini Flash
LLAMA 3
LLAMA 3.5
Wizard LM
Wizard LM 2
Phi35
Key Responsibilities:
- Collaborate with crossfunctional teams to understand business objectives and identify opportunities for AI integration.
- Design develop and deploy machine learning models and algorithms to analyze large datasets.
- Conduct exploratory data analysis to identify patterns trends and anomalies within the data.
- Utilize natural language processing (NLP) techniques to extract insights from unstructured data sources.
- Implement reinforcement learning algorithms to optimize decisionmaking processes.
- Develop and maintain AIbased applications and systems.
- Evaluate the performance of AI models and finetune parameters to improve accuracy and efficiency.
- Collaborate with data engineers to ensure seamless integration of AI models with existing systems.
- Stay updated with the latest AI technologies and industry trends to recommend innovative solutions.
- Communicate findings and insights to key stakeholders through reports and presentations.
- Ensure compliance with data privacy and ethical standards in AI development and deployment.
- Participate in continuous learning and skill development to enhance AI expertise.
Required Qualifications:
- Bachelors or Masters degree in Computer Science Data Science Statistics or a related field.
- Proven experience in developing and deploying machine learning models and algorithms.
- Proficiency in programming languages such as Python R or Java.
- Strong understanding of statistical analysis and data manipulation techniques.
- Experience in working with big data technologies and frameworks.
- Knowledge of deep learning frameworks such as TensorFlow Keras or PyTorch.
- Familiarity with data visualization tools and techniques.
- Excellent problemsolving skills and the ability to approach complex issues analytically.
- Good understanding of AI ethics privacy and regulatory requirements.
- Strong communication and collaboration skills to work effectively in a team environment.
- Ability to manage multiple priorities and deliver highquality results within set timelines.
- Certifications in AI machine learning or related fields would be a plus.
machine learning,data analysis,python,statistics