Job Description: 
Elevate your career as an AI Engineer at Cedar Financial. Join our dynamic team where you\'ll play a pivotal role in designing, implementing, and optimizing AI solutions with a strong emphasis on machine learning techniques. We\'re on the lookout for a passionate individual who thrives on pushing the boundaries of what\'s possible in the realm of predictive analysis.

Responsibilities:

1. Develop and Implement: Design, develop, and implement advanced AI algorithms with a primary focus on machine learning for predictive analysis. Solve intricate business problems and contribute to the evolution of our products.
2. Collaborate: Work closely with cross-functional teams to understand business requirements and translate them into robust AI solutions, specifically leveraging machine learning methodologies.
3. Stay Ahead: Keep abreast of the latest advancements in machine learning technologies. Incorporate emerging trends and technologies into our projects to maintain a cutting-edge approach.
4. Data Mastery: Engage in comprehensive data preprocessing, feature engineering, and model training to ensure the accuracy and efficiency of AI models tailored for predictive analysis.
5. Optimize Performance: Evaluate and optimize the performance of existing AI models, ensuring continuous improvement and adherence to industry best practices.
6. Integration: Collaborate seamlessly with software engineers to integrate AI solutions into existing systems and applications, fostering synergy between AI and our technology stack.
7. Testing and Validation: Conduct thorough testing and validation of AI models to ensure reliability and robustness in predictive analysis scenarios.
8. Documentation and Knowledge Sharing: Keep documentation up-to-date and actively participate in knowledge sharing within the team, fostering a collaborative and informed environment.

Requirements:
1- Experience: Poven experience in developing and implementing AI solutions, specifically focusing on machine learning and predictive analysis.

2- Programming Skills: Strong programming skills in languages such as Python, Java, or C++.

3- ML Expertise: Solid understanding of machine learning concepts, algorithms, and frameworks. Experience with TensorFlow, PyTorch, or similar.

4- Bonus Skills: Familiarity with natural language processing (NLP) and computer vision is a plus.

5- Analytical Skills: Strong problem-solving and analytical skills with attention to detail.

6- Communication: Excellent communication and teamwork skills.

7- Adaptability: Ability to thrive in a fast-paced and collaborative environment.

8- Portfolio: A strong portfolio or examples of previous AI projects emphasizing machine learning and predictive analysis.

• Timings: 9pm to 6am
• Salary: 150K to 200K 

What You’ll Need to Succeed

• Communication


• Ability to Work Under Pressure


• Decision Making


• Time Management


• Conflict Resolution


• Teamwork


• Creativity

What You’ll Need to Know

• Total Positions: 3
• Job Type: Permanent
• Education: Bachelors
• Experience: 1 Years - 2 Years