Machine Learning Engineer

2 weeks ago

Hyderabad, India Circuitry.ai Full time
Key ResponsibilitiesDevelop and optimize

machine learning models

for structured data, including Regression, SVMs, Decision Trees, Random Forest, and XGBoost.Performing EDA and Feature EngineeringPerform

Model Fine-Tuning

by leveraging techniques like

Grid Search

and

Ensemble Methods .Implement

unsupervised learning models

such as

K-Means

and

Gaussian Mixture Models .Utilize platforms like

AWS SageMaker

and tools like

MLflow

for model training, tracking, and deployment.Train and evaluate machine learning models

from scratch

using structured data.Work on

RNNs

and

CNNs

for structured data tasks as applicable.Leverage libraries like

TensorFlow

and

PyTorch

to implement machine learning pipelines.Collaborate with teams to integrate ML models into production systems.Analyze and preprocess large structured datasets to generate insights and drive decision-making.

Qualifications3+ years

of experience in data science with a focus on

structured data

and

machine learning models .Proficiency in

Python

is a

must-have

(e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).Hands-on experience with machine learning techniques:

Regression ,

SVMs ,

Decision Trees ,

Random Forest , and

XGBoost .Experience with

Feature Engineering

techniques, including

Grid Search

and

Ensemble Methods .Familiarity with

unsupervised models

like K-Means and Gaussian Mixture Models.Strong experience using

AWS SageMaker

and

MLflow

for ML workflows.Ability to train and optimize machine learning models

from scratch .Solid understanding of

machine learning techniques

without focus on AI or LLMs.Knowledge of

RNN

and

CNN

frameworks for specific tasks.

Nice-to-Have SkillsExperience with deployment pipelines for ML models.Familiarity with cloud platforms (e.g., AWS, GCP).Knowledge of SQL for structured data extraction and manipulation.

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