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26 Kloud 9 Jobs
Machine Learning (ML) Engineer
6-10 years
Kolkata, Mumbai, New Delhi + 4 more
1 vacancy
Machine Learning (ML) Engineer
Kloud 9
posted 6d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Roles & Responsibilities:
- Studying, transforming, and converting data science prototypes.
- Deploying models to production.
- Training and retraining models as needed.
- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their respective scores.
- Analyzing the errors of the model and designing strategies to overcome them.
- Identifying differences in data distribution that could affect model performance in real-world situations.
- Performing statistical analysis and using results to improve models.
- Supervising the data acquisition process if more data is needed.
- Defining data augmentation pipelines.
- Defining the pre-processing or feature engineering to be done on a given dataset.
- To extend and enrich existing ML frameworks and libraries.
- Understanding when the findings can be applied to business decisions.
- Documenting machine learning processes.
Experience & Skills Fitment:
- 6+ years of IT experience in which at least 2+ years of relevant experience primarily in converting data science prototypes and deploying models to production
- Proficiency with Python and machine learning libraries such as scikit-learn, matplotlib, seaborn and pandas
- Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc
- Experience in working with ML frameworks like Tensor Flow, Keras, OpenCV
- 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
- Advanced degree in Computer Science/Math/Statistics or a related discipline
- Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.)
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
Benefits:
- Kloud9 provides a robust compensation package and a forward-looking opportunity for growth in emerging fields.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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