Machine Learning Expert

2 weeks ago


Bangalore, India Retail Kloud9 Technologies India Private Limited Full time

**About Retail Kloud9 Technologies India Private Limited**

Retail Kloud9 Technologies India Private Limited is a leading technology services and solutions provider specializing in Data Science, Artificial Intelligence (AI) and Machine Learning (ML). Our team of experts works closely with customers to achieve a satisfying customer experience using modern technologies in AI, ML, Cloud and Automation.

We empower businesses to harness the full potential of cloud technology, enabling them to scale, innovate, and thrive in the digital era. With a strong commitment to excellence and a customer-centric approach, we are redefining the way organizations leverage the power of the cloud to drive growth and efficiency.

**Machine Learning Engineer Role**

We are seeking a highly skilled Machine Learning Engineer to join our team. The successful candidate will be responsible for designing machine learning systems, assessing and organizing data, retraining models, performing statistical analysis to resolve data set problems, enhancing the accuracy of model prediction capabilities, and monitoring and optimizing machine learning processes.

**Key Responsibilities**

- Designing machine learning systems and processes
- Assessing and organizing data, retraining models, and performing statistical analysis
- Enhancing the accuracy of model prediction capabilities
- Monitoring and optimizing machine learning processes
- Documenting machine learning processes

**Requirements**

- 6+ years of IT experience in which at least 3+ years of relevant experience primarily in converting data science prototypes and deploying models to production
- Proficiency with Python and machine learning libraries such as pandas
- Strong working experience with pyspark
- Experience with Machine Learning life cycle and training/retraining
- Strong expertise in using kubeflow/airflow and docker containerization
- Knowledge of Big Data frameworks like Hadoop, Spark, etc
- Experience in working with ML frameworks like TensorFlow
- Strong written and verbal communications
- Excellent interpersonal and collaboration skills
- Expertise in visualizing and manipulating big datasets
- Familiarity with Linux
- Ability to select hardware to run an ML model with the required latency
- Robust data modelling and data architecture skills

**Nice to Have**

- Understanding of ML Xgboost api and usage of dask cluster
- Familiarity with Scala, Java, and R code writing.
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Verifying data quality, and/or ensuring it via data cleaning
- Supervising the data acquisition process if more data is needed
- Finding available datasets online that could be used for training



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