Senior/Lead - Data Science/Machine Learning Engineer
- Ugam
- 3 - 8 years
- Pune
- 2 days ago
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Job Description
Job Description
Key Responsibilities:
1. Data Engineering & Pipeline Development
- Design, build, and maintain scalable ELT pipelines for ingesting, transforming, and processing large-scale marketing campaign data.
- Ensure high data quality, integrity, and governance using orchestration tools like Apache Airflow, Google Cloud Composer, or Prefect.
- Optimize data storage, retrieval, and processing using BigQuery, Dataflow, and Spark for both batch and real-time workloads.
- Implement data modeling and feature engineering for ML use cases.
2. Machine Learning Model Development & Validation
- Develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization.
- Experiment with different algorithms (regression, classification, clustering, reinforcement learning) to drive insights and recommendations.
- Leverage NLP, time-series forecasting, and causal inference models to improve campaign attribution and performance analysis.
- Optimize models for scalability, efficiency, and interpretability.
3. MLOps & Model Deployment
- Deploy and monitor ML models in production using tools such as Vertex AI, MLflow, Kubeflow, or TensorFlow Serving.
- Implement CI/CD pipelines for ML models, ensuring seamless updates and retraining.
- Develop real-time inference solutions and integrate ML models into BI dashboards and reporting platforms.
4. Cloud & Infrastructure Optimization
- Design cloud-native data processing solutions on Google Cloud Platform (GCP), leveraging services such as BigQuery, Cloud Storage, Cloud Functions, Pub/Sub, and Dataflow.
- Work on containerized deployment (Docker, Kubernetes) for scalable model inference.
- Implement cost-efficient, serverless data solutions where applicable.
5. Business Impact & Cross-functional Collaboration
- Work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives.
- Translate complex model insights into actionable business recommendations.
- Present findings and performance metrics to both technical and non-technical stakeholders.
Qualifications & Skills:
Educational Qualifications:
- Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
- Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus.
Must-Have Skills:
- Experience: 5-10 years with the mentioned skillset & relevant hands-on experience
- Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer).
- ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP.
- Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing.
- Cloud & Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms.
- MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools).
- Data Warehousing & Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing.
Nice-to-Have Skills:
- Experience with Graph ML, reinforcement learning, or causal inference modeling.
- Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards.
- Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies.
- Experience with distributed computing frameworks (Spark, Dask, Ray).
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: UgamLocation(s): Pune
Keyskills: Natural Language Processing Data Science Ci/Cd online marketing campaign ETL Machine Learning SQL Python
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Ugam
We are trusted multi-specialty healthcare providers with facilities in Thiruvottiyur, Chromepet and Ambattur. Over the years, it has grown from a 100-bed facility to a 250-bed hospital, employing over 500 medical professionals.
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