
Machine Learning Engineer
4 weeks ago
About Company :
They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what's now to what's next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.
About Client:
Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations.
Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines.
Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.
Proficient in Python language. Familiar with Tensorflow/Keras frameworks
ü Experience in building ML Pipeline and setup big data processing pipelines
ü Able to evaluate model and benchmark various model version on different data and report generation
ü Experience in Vision Domain ML models would be an advantage but not must have
ü Comfortable in generating data as per model format, tfrecords, lmdb or similar format.
ü Comfortable in data analysis and visualization
ü Knack for debugging of python compilation, data reading issues.
ü Proficiency in usage of different development tools – git/gerrit, static/dynamic analysis tools, code coverage, test & performance analysis tools
JOB DESCRIPTION:
JOB TITLE: ML Engineer
Location: Bengaluru
Exp:3+Years.
Good to have:
Comfortable with building data analysis, annotation scripts and exploring tools for ease of data understanding and annotations.
Knack for data debugging and verify which classes/types of data are causing the ML model to fail. Should be comfortable in writing scripts to filter out/analyze such images and should be able to draw a conclusion after verifying the failure cases
Experience in data visualization and cleaning for AI/ML projects.
Synthetic Data Generation experience
Able to track and version data used in ML pipeline and report generation
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