Machine Learning Engineer

Responsibilities:

• Design, develop, and deploy machine learning models and algorithms to solve business problems.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Perform data preprocessing, feature engineering, and data visualization to prepare datasets for modeling.
• Conduct exploratory data analysis to uncover insights and patterns.
• Implement and optimize machine learning pipelines for scalability and performance.
• Evaluate model performance using appropriate metrics and techniques, and iterate to improve accuracy and efficiency.
• Stay updated with the latest advancements in machine learning, data science, and related technologies.
• Communicate findings and insights to stakeholders through clear and concise reports and presentations.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
• Proven experience as an ML Engineer, Data Scientist, or similar role.
• Strong programming skills in Python, R, or similar languages.
• Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
• Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL.
• Solid understanding of statistical analysis, data mining, and predictive modeling techniques.
• Familiarity with cloud platforms, preferably AWS - S3,Lambda,ECS,EMR,DynamoDB
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

Preferred Qualifications:

• Experience with deep learning techniques and neural networks.
• Knowledge of natural language processing (NLP) and computer vision.

Familiarity with version control systems (e.g., Git) and agile development methodologies.