Senior Data Scientist - Core Machine Learning

Who We Are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers.
Job Description
Job Title : Senior Data Scientist Core Machine Learning
Job Type : Full-Time / Contract
Experience : 8-12 Years
Location : Hyderabad, Telangana
Role Summary
We are seeking an experienced, hands-on Senior Data Scientist to design, develop, and productionize enterprise-scale machine learning solutions. You will work closely with US-based data science and engineering teams, focusing on feature engineering, ML architecture, end-to-end pipelines, model routing, and production observability.
Responsibilities
Design, develop and optimize predictive, classification, recommendation, ranking and deep learning models.
Perform feature engineering, exploratory data analysis, statistical validation, experimentation and model performance optimization.
Build and maintain end-to-end ML pipelines, including data ingestion, training, deployment, monitoring and automated retraining.
Implement model routing and selection logic, including embedding-based routing, confidence thresholds, fallback mechanisms and output validation.
Develop production observability, drift detection, automated recovery, alerting and model rollback capabilities.
Collaborate with US-based data scientists, architects, and engineering teams to deliver scalable, production-ready ML solutions.
Conduct code reviews, troubleshoot production issues, and mentor junior data scientists.
Required Skills & Experience
8+ years of hands-on experience in applied machine learning and data science, with proven experience deploying and maintaining production ML models.
Strong expertise in feature engineering, ML algorithms, model architecture, statistics, experimentation, and A/B testing.
Advanced Python and SQL proficiency, with experience in scikit-learn and PyTorch or TensorFlow.
Experience with large-scale data processing using Spark/PySpark and cloud ML platforms such as AWS SageMaker, Azure ML or Google Vertex AI.
Hands-on experience with MLOps, MLflow or equivalent, Docker, Kubernetes, CI/CD and model lifecycle management.
Experience implementing model routing, fallback logic, observability, drift monitoring, and automated recovery.
Strong analytical, debugging, and problem-solving skills, with experience collaborating across distributed teams.
Qualification
Bachelor's degree or equivalent combination of education and experience.

Work arrangement
No