Back
Strong Tier-1 brand, popular ML role, broad skillset, and metro hiring make competition high.
Core ML and data engineering skills transfer across industries, though consulting experience moderately favors firm-fit.
Explicit 2+ years, required ML skills, and preferred cloud certifications create moderate shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and implement scalable AI and machine learning systems transforming raw data into actionable business insights.
Develop and deploy AI solutions using programming languages like Python and C++, applying machine learning libraries such as TensorFlow and Scikit-Learn.
Collaborate with clients to understand data needs, manage data pipelines, ensure data quality, and mentor junior team members.
Bachelor's degree required.
Minimum 2 years of relevant work experience.
Proficiency in programming languages such as Python and C++ and machine learning libraries TensorFlow and Scikit-Learn.
Willingness to travel up to 80%.
Educational background in fields like Management Information Systems, Computer/Information Science, Systems Engineering, Mathematics, or related technical disciplines.
Certifications in data engineering, machine learning, or cloud platforms (AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake) are preferred.
Experience applying advanced AI techniques including neural networks, reinforcement learning, natural language processing, and text analytics in client-facing roles.