AIML Engineer - Data Scientist (Classification & Regression)
Remote
JOB DESCRIPTION
Technical role. Specific contribution expected from the role: Data Science Lead with 47 years of experience in ML, MLOps, and
Data Science, specializing in Python, SQL, Azure ML, Databricks, Spark, and CI/CD automation. Expertise in scalable ML model
development, deployment, ML lifecycle automation, big data pipelines, DevOps/MLOps, and tools like MLFlow, Kubeflow, ADF,
and GitHub. Strong leadership, stakeholder management, and agile collaboration skills with experience delivering enterprise AI
/ML solutions across global teams.
Location: Remote. Shift Timing: Normal(Day Shift).
Job Description: Key Accountabilities:
- Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and
Machine Learning models in scope
- Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics
capabilities
- Ensure on time and on budget delivery which satisfies project requirements,



while adhering to enterprise architecture
standards
- Use big data technologies to help process data and build scaled data pipelines (batch to real time)
- Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure Pipelines
- Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
- Automate ML models deployments Qualifications:
- 4 7 years of overall experience that includes at least 4+ years of hands-on work experience data science / Machine learning
- Minimum 4+ year of SQL experience
- Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers (Azure
preferred) is preferred
- BE/BS in Computer Science, Math, Physics, or other technical fields.
Skills, Abilities, Knowledge:
- Data Science Hands on experience and solid knowledge of building machine learning models.
Update from the hiring team:

📌 Data Scientist (Chennai)
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