We are seeking a talented and motivated AI/ML Engineer with 2+ years of experience to join our team. The ideal candidate will have hands-on experience with machine learning algorithms, data processing, and model deployment. This role involves developing, maintaining, and optimizing machine learning models, ensuring the efficient and effective performance of our AI applications and services.

Responsibilities:

• Develop and implement machine learning models and algorithms.
• Preprocess and analyze large datasets to extract meaningful insights.
• Design and develop high-performance, scalable AI solutions.
• Deploy and monitor machine learning models in production environments.
• Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into applications.
• Utilize frameworks and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Optimize models for performance and scalability.
• Conduct research to stay up-to-date with the latest advancements in AI and machine learning.
• Debug and troubleshoot issues related to AI models and data pipelines.

Educational Requirements:

• Bachelor of Science (BSc) in Computer Science, Engineering, Mathematics, or a related field.

Experience Requirements:

• 2+ years of relevant experience in AI and machine learning.

Preferred Qualifications:

• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in programming languages such as Python and R.
• Familiarity with cloud services like AWS, Azure, or Google Cloud for model deployment.
• Experience with data visualization tools like Tableau or Power BI.
• Strong understanding of statistics, probability, and data structures.
• Ability to work with big data technologies like Hadoop and Spark.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and as part of a team.
• Proven track record of delivering high-quality AI solutions.

Additional Skills:

• Experience with natural language processing (NLP) and computer vision.
• Knowledge of reinforcement learning and other advanced AI techniques.
• Familiarity with version control systems like Git.
• Understanding of Agile/Scrum development methodologies.