Machine Learning Engineer

Key Responsibilities:

• Develop and implement machine learning models to solve complex business problems.
• Collaborate with data scientists and analysts to understand business requirements and translate them into technical solutions.
• Perform data preprocessing, feature engineering, and model evaluation to ensure high-quality outcomes.
• Utilize data science techniques to analyze and interpret large datasets, providing actionable insights.
• Work with cross-functional teams to integrate machine learning models into production systems.
• Stay up-to-date with the latest advancements in AI, ML, and data science technologies and methodologies.
• Document processes, methodologies, and results to ensure knowledge sharing and continuous improvement.

Qualifications:

• Proven experience as an AI/ML Engineer with exposure to data science.
• Strong programming skills in languages such as Python, R, or Java.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch,
• Proficiency in data manipulation and analysis using tools like Pandas, NumPy, or SQL.
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.