AI/ML Engineer

We are seeking an experienced AI/ML Engineer to join our dynamic team. The ideal candidate will have a strong background in artificial intelligence and machine learning, with a demonstrated track record of designing, implementing, and deploying AI-powered solutions. As an AI/ML Engineer, you will play a pivotal role in advancing our AI capabilities and contributing to the success of our projects.

Responsibilities:

• Collaborate with cross-functional teams to identify and define AI/ML opportunities that align with business goals.
• Design, develop, and implement machine learning models and algorithms for various applications, such as Regression, Supervised and Unsupervised, Deep Learning, Transformers and Generative AI.
• Collect, preprocess, and analyze data to extract meaningful insights and features for training models.
• Fine-tune and optimize models to achieve high levels of accuracy and performance.
• Stay up-to-date with the latest advancements in AI/ML technologies and methodologies, and proactively recommend their integration into projects.
• Evaluate and experiment with different machine learning frameworks, tools, and libraries to determine the best fit for specific tasks.
• Collaborate with software engineers to integrate AI/ML models into production systems.
• Participate in code reviews, provide constructive feedback, and ensure best practices are followed in AI/ML development.
• Mentor and assist junior team members in understanding and implementing AI/ML techniques.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
• 2+ years of professional experience in AI/ML engineering, with a proven track record of delivering successful projects.
• Strong programming skills in languages such as Python, and familiarity with libraries like TensorFlow, PyTorch, scikit-learn, etc.
• Solid understanding of machine learning algorithms, deep learning architectures, and natural language processing techniques.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Proficiency in data visualization tools and techniques to communicate results effectively.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying and managing AI/ML solutions.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Excellent communication skills to convey complex technical concepts to non-technical stakeholders.