Senior Machine Learning Engineer

Hello,

We are hiring for "Senior Machine Learning Engineer" for Hyderabad location.

Job Title: Senior Machine Learning Engineer

Experience: 5 to 10 Years

Employment Type: Full-Time

Location: Hyderabad

Work Mode: 5 days Work From Office

Notice Period: Immediate joiners(notice period served or serving candidate)

NOTE: We are looking for Immediate joiners(notice period served or serving candidate)

Apply only If you are Immediate joiners(notice period served or serving candidate

Apply only if you are having 5+Years of relevant experience as per the JD.

Job Summary

We are looking for an experienced Machine Learning Engineer with 5+ years of hands-on experience in designing, developing, implementing, and deploying Machine Learning models. The ideal candidate should have strong expertise in Python programming, Machine Learning algorithms, Deep Learning, statistical modeling, data preprocessing, feature engineering, and model optimization.

The candidate should have practical experience in building scalable ML solutions, deploying models into production environments, and implementing end-to-end Machine Learning pipelines.

Roles & Responsibilities

• Design, develop, train, test, and deploy Machine Learning models to solve complex business problems.
• Develop predictive models using supervised, unsupervised, and ensemble learning algorithms.
• Perform data collection, cleaning, preprocessing, feature engineering, and exploratory data analysis.
• Implement Machine Learning algorithms such as Linear Regression, Logistic Regression, Random Forest, Decision Trees, SVM, XGBoost, and Gradient Boosting.
• Build and optimize Deep Learning models using TensorFlow, PyTorch, or Keras.
• Perform model evaluation, validation, hyperparameter tuning, and performance optimization.
• Work with large datasets using Python libraries such as NumPy, Pandas, SciPy, and Scikit-learn.
• Develop scalable ML applications and integrate models with backend systems using Flask or FastAPI.
• Deploy Machine Learning models using cloud platforms such as AWS, Azure, or GCP.
• Implement MLOps practices, including model versioning, experiment tracking, CI/CD, and model monitoring.
• Identify and resolve model performance issues, data drift, and model degradation.
• Collaborate with Data Scientists, Data Engineers, and Software Development teams to deliver production-ready ML solutions.

Mandatory Technical Skills

• Strong programming experience in Python.
• Hands-on experience with Machine Learning algorithms and statistical modeling.
• Expertise in Scikit-learn, NumPy, Pandas, and SciPy.
• Strong knowledge of supervised and unsupervised learning techniques.
• Experience with Random Forest, XGBoost, Decision Trees, SVM, and Regression algorithms.
• Experience in feature engineering, data preprocessing, and model evaluation.
• Knowledge of Deep Learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong understanding of statistics, probability, and linear algebra.
• Experience in model training, testing, validation, and hyperparameter optimization.
• Knowledge of SQL and database management.