About Role

We are seeking a Machine Learning Engineer with hands-on Python experience and proven analytical and problem-solving skills. You will be involved with various data engineeringaspects - data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will possess strong technical and interpersonal skills, along with certain ML skills. In addition, the candidate will collaborate across multi-functional teams to achieve product milestones as agreed with stakeholders.

Key Responsibilities

Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
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 ensuring it via data cleaning
Defining validation strategies
Defining the preprocessing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Finding available datasets that could be used for training
Training models and tuning their hyperparameters
Analyzing the errors of the model and designing strategies to overcome them
Deploying models to production
Work independently and collaboratively on a multi-disciplined project team in an Agile development environment
Be actively involved in the design, development and testing activities for Big data product
Provide feedback to development teams on code/architecture optimization

Required Skills And Experience

Hands-on experience developing Python, PySpark
Possess a strong foundation in statistics and utilize statistical methods to analyze data and derive meaningful insights
Familiarity with Azure Databricks or similar
Proficiency with a deep learning frameworks such as TensorFlow or PyTorch or Keras
Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
Expertise in visualizing and manipulating big datasets
Ability to select hardware to run an ML model with the required latency
Familiarity with Azure services
Proven experience with CI/CD
Proven experience with version control (Github, Bitbucket)
Familiarity with Linux OS/concepts
Strong written and verbal communication skills
Self-motivated and ability to work well in a team

Qualification

Bachelor of Science degree from an accredited university

ML Engineer

Pune

Software Development

Full Time - Remote

Job Description