AI/ML Engineer

Job Summary:
- We are seeking a talented AI/ML Engineer to join our team and help us leverage the power of machine learning to solve complex problems. - In this role, you will be responsible for designing, building, and deploying machine learning models to production. - You will work on a variety of projects, from predictive analytics to recommendation systems, collaborating with a talented team of engineers and data scientists.

**Key Responsibilities :** - - Design, develop, and deploy machine learning models to solve business problems. - - Work on the full ML lifecycle, from data collection and exploration to model training and deployment. - - Build data pipelines for feature engineering and model training. - - Develop and maintain MLOps infrastructure for continuous model deployment. - - Evaluate and monitor model performance in production. - - Collaborate with cross-functional teams to understand business requirements.   
 
**Required Qualifications:** - - Master's or PhD in Computer Science, Data Science, or a related field. - - 3-5 years of experience in machine learning engineering. - - Strong proficiency in Python and machine learning libraries (Scikit-learn, TensorFlow, PyTorch). - - Experience with data processing and big data technologies (Spark). - - Experience with cloud platforms for ML (AWS, Azure, GCP).   
 
**Preferred Qualifications:** - - Experience with MLOps tools and practices. - - Experience with model serving frameworks. - - Experience with a specific domain (e.g., NLP, Computer Vision).   
 
**Key Competencies:** - - Analytical Skills: Strong ability to analyze data and develop effective models. - - Problem-Solving: Can build and deploy ML solutions to real-world problems. - - Collaboration: Works effectively in a cross-functional team. - - Innovation: Passion for exploring and applying new ML techniques.