Posted 25 May, 2026
Data Scientist
VARITE INDIA PRIVATE LIMITED
Hyderabad, Telangana, IN
Full Time
Reference: 26-30654-2522-2
Company Name: VARITE India Private Limited
About The Client:
Client is a pioneering Software Engineering and IT consultancy company, transforming and executing at the intersection of Domain and Technology to create digital leaders for our people, clients, partners, and communities.
About The Job:
Technical Skills
How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.
Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.
Experience Level Bonus Referral:
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.
About The Client:
Client is a pioneering Software Engineering and IT consultancy company, transforming and executing at the intersection of Domain and Technology to create digital leaders for our people, clients, partners, and communities.
About The Job:
- Overview We are seeking a Data Scientist with a strong engineering background to design, build, train, and operationalize machine learning models that deliver measurable business impact.
- You will work end-to-end across feature engineering, model training, inference, and post-processing, leveraging a modern, cloud-native ML platform built on GCP and Kubernetes.
- This role blends strong statistical and machine learning expertise with hands-on MLOps practices, ensuring models are reliable, scalable, and production ready.
- Model Development & Data Science
- Develop, train, and validate machine learning models using Python.
- Perform feature engineering, exploratory data analysis, and model evaluation.
- Apply appropriate ML techniques for prediction, classification, or optimization use cases. ML Workflow Orchestration
- Use Argo Workflows on Kubernetes to orchestrate model inference and post-processing pipelines.
- Design repeatable, automated workflows for ML experiments and production inference. Model Training & Validation
- Leverage Vertex AI to run scalable model training, hyperparameter tuning, and validation.
- Ensure reproducibility and consistency across training runs. Model Runtime & Inference
- Build and maintain Python-based runtimes for training, inference, and feature engineering.
- Optimize inference pipelines for performance, reliability, and scalability.
- Handle and monitor pipelines in production environments..
- Participate in Oncall rotation for inference infrastructure. Model Storage & Lifecycle Management
- Handle trained artifacts in Google Cloud Storage (GCS).
- Track model metadata, versions, and lineage using Argo or custom model registries.
- Support model versioning, rollback, and auditability.. Quality, Monitoring & Governance
- Define model evaluation metrics and validation criteria.
- Support post-deployment monitoring, drift detection, and retraining strategies.
- Follow best practices for documentation, testing, and responsible AI usage.
Technical Skills
- Strong on-hands proficiency in Python for data science and machine learning use-cases.
- Hands-on experience with ML frameworks (e.g., PyTorch, scikit-learn, catboost, ...).
- Familiarity with Kubernetes and Kubernetes-based workflows, especially Argo Workflows. Data Science & ML Concepts
- Strong understanding of feature engineering, model evaluation, and validation techniques.
- Experience taking models from experimentation to production inference.
- Understanding of ML lifecycle management and MLOps principles. Soft Skills
- Strong analytical and problem-solving mindset.
- Ability to translate business problems into data science solutions.
- Clear communication skills to explain models and results to diverse stakeholders.
How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.
Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.
Experience Level Bonus Referral:
| 0-2 years | INR 5,000 |
| 2-6 years | INR 7,500 |
| 6+ years | INR 10,000 |
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.
