Job Summary:

As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models and algorithms to address various business challenges. You will collaborate with cross-functional teams to understand requirements, gather data, and implement solutions that improve business processes and decision-making.

Key Responsibilities:

• Design and implement machine learning models and algorithms tailored to specific business needs.
• Collaborate with data scientists, data engineers, and software developers to integrate machine learning solutions into production systems.
• Analyze large, complex datasets to extract meaningful insights and patterns.
• Optimize and fine-tune models for performance, accuracy, and scalability.
• Conduct experiments and perform rigorous testing to ensure model reliability and robustness.
• Stay updated with the latest advancements in machine learning and AI technologies.
• Develop and maintain documentation for models, algorithms, and processes.
• Communicate findings and present results to stakeholders in a clear and concise manner.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 6 to 8 Years of experience as a Machine Learning Engineer or similar role.
• Strong programming skills in Python, R, or other relevant languages.
• Proficiency with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Knowledge of big data technologies like Hadoop, Spark, or similar.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.