Data Scientist – Machine Learning & MLOpsRole Overview
Experience: 6 Years
Location: Hyderabad
Employment Type: Full-Time / Contractual
We are seeking a highly skilled Data Scientist with strong expertise in Machine Learning, MLOps, and production-grade AI systems. The ideal candidate will have hands-on experience developing, deploying, and maintaining machine learning models at scale while collaborating closely with data engineers, software engineers, and business stakeholders to deliver impactful AI-driven solutions.
This role requires a strong foundation in statistical modeling, machine learning algorithms, feature engineering, model evaluation, and modern MLOps practices within cloud-native environments.
Key Responsibilities
- Design, develop, and optimize machine learning models to solve complex business problems.
- Perform data exploration, feature engineering, and data preprocessing to improve model performance.
- Build, train, validate, and deploy ML models for production use cases.
- Develop scalable ML pipelines and automate model training, deployment, and monitoring workflows.
- Collaborate with engineering teams to integrate machine learning solutions into production systems.
- Monitor model performance, identify model drift, and implement retraining strategies.
- Establish best practices for model governance, reproducibility, and lifecycle management.
- Leverage containerized and Kubernetes-based environments for model deployment and orchestration.
- Create and maintain technical documentation for ML solutions, pipelines, and deployment processes.
- Stay current with emerging technologies and advancements in AI, Machine Learning, and MLOps.
Required Technical SkillsMachine Learning & Data Science
- Strong hands-on experience in Python for data science, machine learning, and analytics.
- Experience with machine learning frameworks such as:
- PyTorch
- scikit-learn
- CatBoost
- XGBoost or similar libraries
- Strong understanding of:
- Supervised and unsupervised learning
- Feature engineering techniques
- Model selection and hyperparameter tuning
- Model evaluation and validation methodologies
- Statistical analysis and predictive modeling
- Experience taking ML models from research and experimentation through production deployment.
MLOps & Productionization
- Strong understanding of MLOps principles and machine learning lifecycle management.
- Experience building automated ML pipelines and CI/CD workflows for machine learning systems.
- Hands-on experience with:
- Kubernetes
- Argo Workflows
- Containerization technologies (Docker preferred)
- Experience deploying and managing inference services in production environments.
- Understanding of model monitoring, observability, versioning, and governance practices.
Data Engineering & Infrastructure
- Experience working with structured and unstructured datasets.
- Knowledge of data preprocessing, transformation, and feature store concepts.
- Familiarity with distributed computing and scalable data processing frameworks is a plus.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Exposure to ML orchestration, workflow automation, and model serving frameworks.
- Familiarity with experiment tracking and model registry tools.
- Experience working in Agile development environments.
Key Competencies
- Strong analytical and problem-solving skills.
- Ability to translate business requirements into data-driven solutions.
- Excellent communication and stakeholder management skills.
- Self-driven mindset with a focus on innovation and continuous learning.
- Ability to work effectively in cross-functional teams.
Application Process
Interested candidates can share their updated resume to:
[email protected]
Pay: ₹70,000.00 - ₹90,000.00 per month
Work Location: Hybrid remote in Hyderabad, Telangana (Hyderabad, Hyderabad District)
