Senior Python Engineer - Machine Learning & Data Analysis

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 18 Month(s)

Skills

Analytics
Cloud Computing
Collaboration
Data Analysis
Data Modeling
Deep Learning
Docker
Machine Learning Operations (ML Ops)
Mentorship
Microsoft
Microsoft Azure
EDA
Evaluation
Extract
Transform
Load
Flask
Kubernetes
Machine Learning (ML)
NumPy
Pandas
PyTorch
Python
SQL
Scalability
TensorFlow
Training
Artificial Intelligence
scikit-learn
Workflow

Job Details

Mandatory Areas

Skill 1 7Yrs of Exp Python

Skill 2 7Yrs of Exp AI/ML,

Skill 3 5Yrs of Exp in ETL, Data Analysis, Azure

Senior Python Engineer - Machine Learning & Data Analysis Key Responsibilities

Design, develop, and deploy Python-based ML solutions for large-scale data analysis.

Build ETL/data pipelines to process structured and unstructured datasets.

Perform exploratory data analysis (EDA), feature engineering, and model evaluation.

Collaborate with data scientists, analysts, and business teams to translate business problems into technical solutions.

Optimize models for scalability, performance, and accuracy.

Mentor junior engineers and review code for quality and best practices.

Required Skills & Experience

Strong proficiency in Python (Pandas, NumPy, Scikit-learn, FastAPI/Flask).

Experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment preferably using Microsoft stack - Azure ML, Azure Data Factory, Synapse Analytics, and related Microsoft AI/ML tools.

Knowledge of cloud-based MLOps practices.

Strong SQL and data modelling skills.

Experience with deep learning frameworks (PyTorch, TensorFlow) is nice to have.

Knowledge of containerization (Docker, Kubernetes) is nice to have.

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About Abhima Technologies, Inc.