Job Location: Bangalore/Bengaluru
Job Description :
Position : ML engineer
Client : Affine technologies
Job type : long term
Job Location : Bangalore
Experience Level : 5 to 8 Years
Notice period : immediate to 15 days
Package offered : negotiable
Responsibilities :
Professional Experience
- Minimum of 5+ years of analytics expertise in building Data and ML pipelines to the models built by the Data Scientist community
- Experience working in one or more of the Card Payments markets around the globe.
- Good understanding of the Payments and Banking Industry including aspects such as consumer credit, consumer debit, prepaid, small business, commercial, co-branded and merchant.
Technical Expertise
- Consulting with Data Scientist to determine and refine machine learning objectives
- Designing machine learning systems to automate predictive models build
- Transforming data science prototypes and applying appropriate ML algorithms and tools.
- Ensuring that algorithms generate accurate user recommendations.
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Developing ML algorithms to analyze huge volumes of historical data to make predictions.
- Running tests, performing statistical analysis, and interpreting test results.
- Documenting machine learning processes.
- Experience in distributed computing environments / big data platforms (Hadoop) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
- Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDEs (Jupyter Notebooks)
- Strong programming ability in different programming languages such as Python and SQL.
- Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using PySpark.
- Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Support Vector Machines, Neural Networks, etc.
Business Experience
- Results-oriented with strong problem solving skills and demonstrated intellectual and analytical rigor
- Good business acumen with a track record in solving business problems through data driven quantitative methodologies.
- Experience in payment, retail banking, or retail merchant industries is preferred
- Very detailed oriented, is expected to ensure highest level of quality/rigor in reports and
- data analysis
- Proven skills in translating analytics output to actionable recommendations and delivery
- Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven
- results to various audience levels
if you find the above job details matching your current profile , be free to send us your CV to divya.lakshmi@in.experis.com
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