AI/ML Engineer

Job Summary:

We are seeking a highly skilled and motivated AI/ML Engineer to join our team. The ideal candidate will have strong expertise in machine learning algorithms, artificial intelligence, and data analysis. You will be responsible for designing, developing, and deploying AI/ML models to solve complex problems and improve business outcomes. Your work will involve collaboration with cross-functional teams, including data scientists, software engineers, and product managers.

Key Responsibilities:
 Model Development and Deployment:
 Design, develop, and deploy machine learning models and AI algorithms to address business challenges.
 Work on the end-to-end pipeline of machine learning projects, from data collection and preprocessing to model deployment and monitoring.
 Implement scalable machine learning solutions that can handle large datasets efficiently.
 Data Analysis and Processing:
 Analyze and process large datasets to extract meaningful insights and patterns.
 Perform feature engineering to enhance model performance.
 Use statistical methods to validate and evaluate model accuracy and effectiveness.
 Research and Innovation:
 Stay up-to-date with the latest advancements in AI and machine learning technologies.
 Research and experiment with new algorithms, tools, and techniques to improve existing models or develop new solutions.
 Collaborate with academic and industry partners to stay ahead of trends and incorporate best practices.
 Collaboration and Teamwork:
 Work closely with data scientists, software engineers, and product managers to integrate AI/ML models into production systems.
 Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
 Participate in code reviews and provide constructive feedback to team members.
 Model Optimization and Maintenance:
 Optimize and fine-tune models for performance, accuracy, and scalability.
 Monitor and maintain deployed models, ensuring they perform well in production environments.
 Troubleshoot and resolve issues related to model deployment, data pipelines, and system integration.
 Documentation and Reporting:
 Document AI/ML models, processes, and methodologies used in projects.
 Prepare and present reports on model performance, project progress, and outcomes to stakeholders.
 Ensure compliance with data governance and ethical AI guidelines.

Qualifications:
 Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field. A PhD is a plus.
 3-5+ years of experience in AI/ML engineering, data science, or related roles.
 Strong programming skills in Python, R, or other relevant languages.
 Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
 Proficiency in working with large datasets, data manipulation, and preprocessing tools (e.g., Pandas, NumPy).
 Solid understanding of machine learning algorithms (e.g., regression, classification, clustering, neural networks).
 Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment and scaling.
 Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow).
 Strong analytical, problem-solving, and critical thinking skills.

Job Type: Full-time

Benefits:
 Health insurance

Schedule:
 Day shift
 Monday to Friday

Experience:
 total work: 1 year (Preferred)

Work Location: In person,