AI/ML Engineer

Experience range should be 2-4 Years

Objectives of this role

• Design and develop machine learning algorithms and deep learning applications and systems
• Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
• Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications
• Identify differences in data distribution that could potentially affect model performance in real-world applications
• Ensure algorithms generate accurate user recommendations
• Stay up to date with developments in the machine learning industry

Responsibilities

• Study and transform data science prototypes and apply appropriate machine learning algorithms and tools
• Run machine learning tests and experiments, and document findings and results
• Train, retrain, and monitor machine learning systems and models as needed
• Construct optimized data pipelines to feed machine learning models
• Consult with managers to determine and refine machine learning objectives
• Extend existing machine learning libraries and frameworks

Skills and qualifications

• Impeccable analytical and problem-solving skills
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms
• In-depth knowledge of machine learning frameworks, like Keras or PyTorch
• Familiarity with data structures, data modeling, and software architecture
• Excellent time management and organizational skills
• Desire to learn

Preferred qualifications

• Proven experience as a machine learning engineer or similar role
• Familiarity with Python, Java, and R
• Excellent communication and collaboration skills
• Innovative mind with a passion for continuous learning
• General knowledge of building machine learning systems
• Bachelor’s degree (or equivalent) in computer science, mathematics, or related field

Job Type: Full-time

Pay: ₹468,726.69 - ₹2,000,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Schedule:

• Day shift

Work Location: In person