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Machine Learning Engineer
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Machine Learning Engineer

SaiSruthi Nuthanpati's profile picture
Posted by SaiSruthi Nuthanpati
4 - 10 yrs
Best in industry
Tirupati, Chennai
Skills
skill iconPython
skill iconMachine Learning (ML)
SQL
FastAPI
skill iconFlask
skill iconDocker
skill iconKubernetes
CI/CD
Time series
MLOps
Scikit-Learn
XGBoost

About Us:

The QX Impact was launched with a mission to make A.I accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights; businesses will continue to face challenges to better understand their customers and even lose them. Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.


Role Overview

We are seeking a Machine Learning Engineer to lead the end-to-end development of production-grade analytical applications. This is a high-impact role requiring a blend of deep statistical modeling and machine learning. You will be responsible transforming raw consolidated data into high-accuracy forecasts through advanced feature engineering, rigorous model selection, and statistical validation.

This role is for an engineer who thrives in the research-to-code transition, ensuring that every model is mathematically sound, resistant to overfitting, and optimized for high-dimensional manufacturing data.


Responsibilities:

  • Feature Engineering & Discovery: Design and build complex feature sets for diverse problem types, including behavioural features for churn, sensor-based lags for maintenance, and seasonal encodings for demand forecasting.
  • Model Selection & Optimization: Conduct systematic experimentation across diverse algorithms (e.g., XGBoost, LightGBM, Prophet, or Deep Learning) to identify the best-performing models.
  • Model Training & Testing: Develop, train, tune, and test a variety of ML architectures including time-series, classification and regression.
  • Statistical Validation & Evaluation: Define and track complex evaluation metrics tailored to manufacturing, such as MAPE, RMSE, etc., while performing deep-dive bias-variance analysis.
  • EDA & Research: Perform exploratory data analysis on consolidated "Gold" layer data to uncover hidden drivers of business outcomes and identify correlations between external signals.
  • Refinement & Performance Tuning: Address critical modeling challenges including bias-variance tradeoffs, class imbalance, and overfitting to ensure models generalize to real-world production data.

Skills & Requirements:

  • 3+ Years of Experience: Proven track record of developing and delivering production-grade ML models across multiple domains (Sales, Finance, Manufacturing, or Supply Chain).
  • Mastery of the Python Ecosystem: Expert-level skills in Pandas, NumPy, Scikit-learn, and SciPy.
  • Advanced Algorithmic Knowledge: Deep expertise in supervised and unsupervised learning, specifically ensemble methods (Boosting/Bagging) and time-series frameworks.
  • Statistical Foundations: Strong grasp of hypothesis testing, probability distributions, and the mathematical principles behind model evaluation and optimization.
  • SQL Proficiency: Expert ability to manipulate data within consolidated database layers to create the "Silver" feature sets required for training.
  • Education: Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, or Computer Science).
  • Cloud Awareness: Experience with Azure Machine Learning or similar cloud modelling environments.
  • Engineering Familiarity: Basic understanding of Docker, MLflow, or FastAPI for handing models off to deployment teams.

Personal Attributes:

  • Strong problem-solving skills with a passion for data architecture.
  • Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.
  • Highly collaborative, capable of working with cross-functional teams.
  • Ability to thrive in a fast-paced, agile environment while managing multiple priorities effectively.

Competencies:

  • Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.
  • Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
  • Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
  • Customer Focus - Building strong customer relationships and delivering customer-centric solutions.
  • Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

  • Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
  • Work on impactful projects that make a difference across industries.
  • Opportunities for professional growth and continuous learning.
  • Competitive salary and benefits package.

Application Details

Ready to make an impact? Apply today and become part of the QX Impact team!


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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About QuaXigma IT solutions Private Limited

Founded :
2019
Type :
Services
Size :
20-100
Stage :
Profitable

About

N/A

Company social profiles

linkedin

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