About the role
from listingExperience: 3-8 years of experience.
Your Role and Responsibilities: As a Data Engineer with expertise in Machine Learning, you will apply Machine Learning concepts and techniques to address business challenges. You will leverage your skills to drive informed decision-making in the organization.
Your Primary Responsibilities Will Include:
Develop Machine Learning Solutions: Apply Machine Learning concepts and techniques to address business challenges, interpreting statistical data and identifying relevant features to inform solution development.
Evaluate Algorithm Performance: Choose appropriate algorithms and evaluate their performance using relevant metrics, ensuring that solutions meet business needs.
Communicate Results: Clearly communicate the results of Machine Learning initiatives to stakeholders, enabling informed decision-making across the organization.
Implement Machine Learning Techniques: Collaborate with stakeholders to implement Machine Learning techniques that drive business value, leveraging expertise to inform technical decisions.
Required Education:
Bachelor's Degree
Preferred Education:
Master's Degree
Required Technical and Professional Expertise:
Exposure to Machine Learning Concepts: Familiarity with applying Machine Learning concepts and techniques to address business challenges, including interpreting statistical data and identifying relevant features.
Algorithm Evaluation Skills: Experience working with algorithms and evaluating their performance using relevant metrics to ensure solutions meet business needs.
Data Analysis and Interpretation: Exposure to interpreting statistical data to inform solution development and drive informed decision-making.
Machine Learning Implementation: Experience working with stakeholders to implement Machine Learning techniques that drive business value.
Technical Communication: Ability to clearly communicate the results of Machine Learning initiatives to stakeholders, enabling informed decision-making across the organization.
Preferred Technical and Professional Experience:
Advanced Algorithm Knowledge: Exposure to a wide range of algorithms and techniques used in Machine Learning, including deep learning and natural language processing.
Data Visualization Tools: Experience working with data visualization tools to effectively communicate insights and results to stakeholders.
Specialized Machine Learning Libraries: Exposure to specialized Machine Learning libraries such as scikit-learn, TensorFlow, or PyTorch.
Years of Experience: 3 - 8
Key skills: algorithms, data analysis, data engineer, data visualization, deep learning, machine learning, natural language processing, pytorch, solution development, technical communication, tensorflow, visualization.
Role: Machine Learning Engineer
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education: UG: Any Graduate
Education: PG: Any Postgraduate