Job Description
How To Apply”
Share Your CV By Email: info@simplihire.com
Job Title: AI/ML Engineer
Experience: 5–8 Years
Qualification: B.Tech / M.Tech in Computer Science, Data Science, or related field
Salary will be discuss during on your interview.
Job Overview:
We are seeking an experienced AI/ML Engineer to join our team. The ideal candidate will have 5-8 years of experience in developing and implementing machine learning models and algorithms. You will be responsible for designing, building, and deploying AI solutions to solve complex business problems.
Responsibilities:
– Develop machine learning models and algorithms to address business challenges.
– Collaborate with cross-functional teams to understand project requirements and deliver scalable solutions.
– Implement and deploy models into production environment.
– Perform data analysis and interpret results to ensure model accuracy and validity.
– Stay current with the latest AI/ML technologies and trends to drive innovation.
Requirements and Skills:
– Bachelor’s degree in Computer Science, Engineering, or related field. Master’s degree preferred.
– 5-8 years of experience in AI/ML development and implementation.
– Proficiency in programming languages such as Python, R, or Java.
– Strong understanding of machine learning algorithms and statistical methods.
– Experience with tools and frameworks like TensorFlow, Keras, or scikit-learn.
– Excellent problem-solving and analytical skills.
– Effective communication and teamwork abilities.
Qualifications:
– Bachelor’s degree in Computer Science, Engineering, or related field. Master’s degree preferred.
– 5-8 years of experience in AI/ML development and implementation.
– Strong proficiency in programming languages such as Python, R, or Java.
– In-depth knowledge of machine learning algorithms and statistical methods.
– Experience with popular AI tools and frameworks, including TensorFlow, Keras, or scikit-learn.
– Exceptional problem-solving and analytical skills.
– Excellent communication and collaboration skills to work effectively in a team environment.
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