Walkin - Machine Learning Engineer - Blackstraw.ai - Chennai- WFO
Posted Updated
Summary
Machine Learning Engineer (work-from-office) in Chennai who analyzes large datasets, builds supervised/unsupervised models, clustering and entity-resolution/fuzzy-matching solutions, and supports deployment with basic MLOps. Core stack is Python, SQL, Pandas and NumPy, with 4+ years of Data Science/ML experience.
The ideal candidate is a data-driven problem solver with hands-on experience in statistical modeling, predictive analytics, clustering algorithms, entity resolution, and basic MLOps. You should be comfortable working with large datasets, experimenting with machine learning techniques, and translating analytical insights into scalable business solutions.
Key Responsibilities
- Analyze large datasets to identify trends, patterns, and actionable insights using statistical methods.
- Develop, train, validate, and optimize supervised and unsupervised machine learning models.
- Design and implement clustering algorithms to identify similar entities, customer segments, or devices.
- Build entity resolution and fuzzy matching solutions to accurately link duplicate or related records across multiple datasets.
- Evaluate model performance using appropriate statistical and machine learning metrics.
- Conduct feature engineering, model tuning, and experimentation to improve prediction accuracy.
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
- Develop reproducible machine learning workflows and support model deployment using basic MLOps practices.
- Document methodologies, assumptions, and experimental findings.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related field.
- 4+ years of experience in Data Science or Machine Learning.
- Strong programming skills in Python.
- Experience with SQL and data manipulation libraries such as Pandas and NumPy.
- Excellent problem-solving and analytical skills.
Preferred Experience
- Developing end-to-end machine learning solutions.
- Building predictive analytics models for business applications.
- Applying clustering and similarity matching techniques to customer, device, or identity data.
- Designing entity resolution or record linkage solutions.
- Supporting machine learning model deployment and lifecycle management.