We are seeking a passionate and skilled Machine Learning Engineer to join our dynamic team. This is an exciting opportunity to work on cutting-edge AI/ML projects that solve real-world problems. You will play a key role in designing, building, and deploying scalable machine learning solutions across a variety of domains.

Responsibilities of the Candidate:

• Develop, train, and deploy machine learning models for classification, regression, clustering, and recommendation systems.
• Analyze large datasets to extract actionable insights and improve model performance.
• Collaborate with data scientists, software engineers, and product teams to integrate ML models into production systems.
• Optimize and fine-tune existing models to ensure efficiency and accuracy.
• Conduct A/B testing, performance monitoring, and model retraining as needed.
• Stay up to date with the latest research and advancements in machine learning and AI.

Requirements:

• Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Solid understanding of machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Proficiency in Python and familiarity with data analysis libraries (Pandas, NumPy, Matplotlib, etc.).
• Experience with model deployment using Flask, FastAPI, Docker, or similar technologies.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and version control systems like Git.
• Strong problem-solving skills and ability to work independently or in a team environment.
• Good communication skills and a collaborative mindset.