AI/ML Engineer

Responsibilities:

. Design, develop, and deploy scalable machine learning models and systems that support

business objectives.

. Collaborate with data scientists and data engineers to collect and preprocess data, and build

and maintain data pipelines.

. Develop and maintain data infrastructures that support machine learning workflows,

including data storage, feature engineering, and model training.

. Design and implement distributed systems that support large-scale machine learning.

. Develop and maintain machine learning workflows that are efficient, reproducible, and

scalable.

. Implement monitoring and evaluation systems that track model performance and identify

potential issues.

Qualifications:

. Bachelor's or Master's degree in computer science, engineering, or a related field.

. Strong programming skills in one or more languages such as Python, Java, or C++.

. Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

. Experience with distributed systems such as Apache Spark, Hadoop, or Kafka.

. Familiarity with data storage and processing technologies such as SQL, NoSQL, and Apache

Beam.

. Strong analytical and problem-solving skills, with the ability to work with complex and

unstructured data.

. Strong communication skills and ability to work collaboratively with cross-functional teams.

Experience:

. At least 10 years of experience in integrating the data with the architecture provided through

seamless integration AI technology

. At least 5 years of experience in using the various AI tools with good exposure to the usage of the

tools with specific techniques in place