AI/ML Engineer

Roles and Responsibilities Model Development: Design, develop, and train machine learning and AI models.

Data Analysis: Process and analyze large datasets to extract meaningful insights.

Algorithm Optimization: Fine-tune algorithms for improved performance and scalability.

Integration: Deploy models into production environments, ensuring seamless integration with systems.

Research: Stay updated on AI/ML advancements and incorporate new techniques into projects.

Collaboration: Work with teams to align AI solutions with business goals.

Documentation: Maintain detailed documentation of models, processes, and experiments.

Qualifications Educational Background:

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields.

Certifications in AI/ML (e.g., TensorFlow, AWS Machine Learning) are a plus.

Experience:

1–3 years in AI/ML roles or related fields.

Technical Skills:

Proficiency in Python, R, or Java, and frameworks like TensorFlow or PyTorch.

Strong understanding of algorithms, statistics, and data structures.

Experience with tools like Jupyter, Pandas, and Scikit-learn.

Soft Skills:

Strong problem-solving and analytical thinking.

Excellent teamwork and communication skills.