Gen AI Engineer - Artificial Intelligence/Machine Learning (3-5 yrs)

Job Overview :

We are looking for a highly skilled and motivated GenAI/ML Engineer to join our team. The ideal candidate will have a strong background in artificial intelligence and machine learning, and a passion for using these technologies to develop innovative solutions. The GenAI/ML Engineer will be responsible for designing, developing, and implementing AI and ML models to solve complex problems and improve our products and processes.

Responsibilities :

- Collaborate with cross-functional teams to identify opportunities for leveraging AI/ML technologies to drive business results

- Design and develop machine learning models and algorithms to analyze and interpret large datasets

- Implement and optimize AI/ML algorithms for real-time or near real-time performance

- Work on integrating AI/ML models into production systems and applications

- Stay up-to-date with the latest AI/ML technologies and trends to drive innovation and continuous improvement

- Communicate and present technical findings and solutions to stakeholders and team members

Requirements :

- Bachelor's or Master's degree in Computer Science, Engineering, or related field

- Proven experience in developing and deploying AI/ML solutions

- Strong programming skills in languages such as Python, R, or Java

- Experience with machine learning frameworks such as TensorFlow, Keras, Scikit-learn, or PyTorch

- Solid understanding of AI/ML algorithms, data structures, and statistical models

- Excellent problem-solving and analytical skills

- Strong communication and collaboration skills

If you have a passion for cutting-edge AI/ML technologies and want to make an impact in a dynamic and fast-paced environment, we'd love to hear from you. Join us in shaping the future of AI and ML. Apply now!

Roles and Responsibilities of GenAI/ML Engineer :

1. Develop and implement machine learning algorithms and models to solve complex business problems.

2. Design and build AI-powered solutions for data analysis, prediction, and recommendation.

3. Collaborate with data scientists and software engineers to integrate machine learning models into production systems.

4. Research and experiment with new algorithms and techniques to improve the performance of AI and ML systems.

5. Analyze and interpret large datasets to identify patterns and insights that can drive business decision-making.

6. Optimize and fine-tune machine learning models for accuracy, scalability, and efficiency.

7. Stay up-to-date with the latest advancements in AI and machine learning technologies and apply them to solve real-world problems.

8. Work closely with cross-functional teams to understand the business requirements and translate them into technical solutions.

9. Participate in code reviews, documentation, and knowledge sharing to maintain high-quality and well-documented ML implementations.

10. Provide technical expertise and guidance to junior team members and contribute to the overall growth of the AI and ML engineering practice within the organization. Overall, the primary responsibility of a GenAI/ML Engineer is to design, develop, and deploy AI/ML solutions to deliver actionable insights and drive business value.