AI/ML Engineer (5-8 yrs)

We are seeking an experienced AI/ML Engineer to join our team. The ideal candidate should have at least 5 years of relevant experience in developing and implementing machine learning algorithms, working on pattern recognition, neural networks, statistics, and algorithms. The AI/ML Engineer will play a key role in developing AI models and solutions that enhance our business offerings.

Key Responsibilities :

- Design, develop, and implement AI/ML models and algorithms.

- Work on pattern recognition, neural networks, and statistical modeling.

- Develop and maintain machine learning pipelines for real-world applications.

- Collaborate with cross-functional teams to integrate AI models into existing systems.

- Conduct research and stay updated on the latest AI/ML advancements.

- Optimize models for scalability and performance.

- Perform data analysis and preprocessing to enhance model accuracy.

- Troubleshoot and resolve AI/ML-related challenges in production environments.

- Ensure AI solutions align with business objectives and customer needs.

Required Qualifications & Skills :

Education : A Masters or Ph.D. in Computer Science, Statistics, or a related field.

Experience :

- Minimum of 5 years in AI/ML development.

- Expertise in Pattern Recognition and Neural Networks.

- Strong proficiency in Computer Science and Algorithms.

- Solid background in Statistics and Data Analysis.

- Experience in developing and deploying AI/ML models.

- Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and related AI/ML frameworks.

- Experience with cloud platforms (AWS, Azure, Google Cloud) for AI/ML model deployment.

- Knowledge of Big Data technologies is a plus.

- Excellent problem-solving and analytical skills.

- Strong ability to work independently and collaboratively within a team.

- Experience integrating AI models with business applications.

- Passion for innovation and continuous learning in AI/ML.

- Work with a forward-thinking team at the forefront of AI and Machine Learning.

- Gain exposure to cutting-edge technologies and innovative projects.

- Opportunity to grow professionally and contribute to impactful solutions.

- Competitive compensation and flexible work environment.