AI/ML Engineering Manager

Role & responsibilities

• Strong programming skills: AI and ML engineers need to have a strong foundation in programming languages such as Python, Java, and C++.
• Knowledge of statistics and probability: AI and ML engineers should have a solid understaData modeling and evaluation skills: AI and ML engineers should be skilled in data modeling and evaluation, including data pre-processing, feature engineering, and model selectionnding of statistics and probability theory to build and optimize algorithms.
• Familiarity with machine learning algorithms: AI and ML engineers should have a deep understanding of various machine learning algorithms such as linear regression, logistic regression, decision trees, random forests, and neural networks. 
• Experience with deep learning frameworks: AI and ML engineers should be proficient in using popular deep learning frameworks such as TensorFlow, Keras, and PyTorch.
• Knowledge of cloud computing platforms: AI and ML engineers should have a strong understanding of cloud computing platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform. 
• Ability to work with big data: AI and ML engineers should be familiar with big data technologies such as Apache Hadoop, Spark, and NoSQL databases.
• Strong problem-solving skills: AI and ML engineers need to be skilled at identifying problems, breaking them down into smaller components, and developing solutions.
• Excellent communication and collaboration skills: AI and ML engineers need to be effective communicators and able to collaborate effectively with cross-functional teams.
• Continuous learning and curiosity: AI and ML engineers need to be constantly learning and keeping up with the latest advancements in AI and ML to stay competitive in the field.

Preferred candidate profile

• With 3-5 years of experience in AI/ML engineering, with a track record of designing and deploying successful AI/ML models and systems.

• At least 1 year of experience in people/team management.

• Strong programming skills in Python, with experience using Python, AWS, PyTorch, OpenCV and other existing and emerging AI/ML technologies (OpenAI, GPT etc..).
• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Strong analytical and problem-solving skills, with the ability to think creatively and outside the box.
• Experience working in an Agile development environment is a must.
• Can start ASAP or within 30 days.

Perks and benefits

• Salary best in industry
• Hybrid