Machine Learning Engineer (Traditional ML)
- Ispace
- 7 - 12 years
- Hyderabad
- 3 months ago
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Job Description
We are seeking a Machine Learning Engineer with strong expertise in traditional ML algorithms and statistical modeling techniques. The role involves developing, training, testing, and deploying ML models to solve business problems, improve decision-making, and optimize processes. The ideal candidate should have a solid background in mathematics, statistics, and programming, with hands-on experience in applying classical ML techniques rather than relying solely on deep learning frameworks.
Key Responsibilities:
- Design, develop, and implement machine learning models using traditional algorithms (e.g., regression, SVM, decision trees, ensemble methods, clustering, time series forecasting).
- Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to extract meaningful insights.
- Build scalable and efficient ML pipelines for model training and evaluation.
- Conduct hypothesis testing and statistical analysis to validate models and assumptions.
- Collaborate with data engineers, analysts, and business teams to identify ML opportunities and translate requirements into technical solutions.
- Optimize models for performance, accuracy, and scalability.
- Monitor and maintain deployed models, ensuring reliability and continuous improvement.
- Document methodologies, processes, and results for transparency and reproducibility.
Required Skills & Qualifications:
- Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
- Strong programming skills in Python, R, or Java with experience in ML libraries (e.g., scikit-learn, XGBoost, LightGBM, statsmodels).
- Proficiency in statistical methods, probability theory, and hypothesis testing.
- Solid understanding of supervised and unsupervised learning techniques.
- Experience with feature engineering, dimensionality reduction, and model evaluation metrics.
- Familiarity with SQL and data wrangling tools.
- Strong problem-solving and analytical skills with attention to detail.
- Ability to work with large, complex datasets and generate actionable insights.
Preferred Qualifications:
- Experience in time series forecasting, anomaly detection, or optimization problems.
- Knowledge of cloud ML platforms (AWS Sagemaker, Azure ML, GCP AI Platform).
- Familiarity with MLOps concepts (model deployment, monitoring, CI/CD).
- Exposure to big data tools (Spark, Hadoop) is a plus.
Soft Skills:
- Strong communication and collaboration skills.
- Ability to explain technical concepts to non-technical stakeholders.
- Adaptability and eagerness to learn new techniques and tools.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: IspaceLocation(s): Hyderabad
Keyskills: Machine Learning MLOps Python Traditional ML Ml Algorithms Deployment Process SQL Machine Learning Algorithms Deploying Models Machine Programming Ml Deployment Python Development Ml Pipelines
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