Data Scientist

We are looking for an experienced Data Scientist with a strong engineering background to develop, train, deploy, and maintain machine learning models in production environments. The ideal candidate should have hands-on expertise in Python, machine learning frameworks, GCP, Kubernetes, and MLOps practices.

Experience: 6–8 Years

Location: Gurugram, Bengaluru, Pune, Jaipur, New Delhi, Noida, Hyderabad, Chennai, Bhopal, Mumbai

Mandatory: UAN Number and LinkedIn Profile

Interested candidates can send your resume to annie@egrovesys.com

Key Responsibilities :-

Develop, train, and validate machine learning models using Python.

Perform exploratory data analysis, feature engineering, and model evaluation.

Apply machine learning techniques for prediction, classification, and optimization.

Orchestrate ML inference and post-processing pipelines using Argo Workflows on Kubernetes.

Use Vertex AI for scalable model training, hyperparameter tuning, and validation.

Build and maintain Python-based training, inference, and feature engineering runtimes.

Optimize production inference pipelines for performance, reliability, and scalability.

Manage trained model artifacts in Google Cloud Storage (GCS).

Maintain model versioning, metadata, lineage, rollback, and auditability.

Implement model monitoring, drift detection, and retraining strategies.

Follow best practices for documentation, testing, and responsible AI.

Participate in on-call rotations for inference infrastructure.

Required Skills :-

Strong hands-on experience in Python for data science and machine learning.

Experience with ML frameworks such as PyTorch, scikit-learn, and CatBoost.

Familiarity with Kubernetes and Argo Workflows.

Experience with Google Cloud Platform (GCP) and Vertex AI.

Knowledge of feature engineering, model evaluation, and validation techniques.

Experience deploying machine learning models into production.

Understanding of MLOps principles and ML lifecycle management.

Strong analytical, problem-solving, and communication skills.

Preferred Skills :-

Experience with real-time and batch inference systems.

Exposure to CI/CD for machine learning pipelines.

Knowledge of model monitoring, data/model drift detection, and automated retraining.

Candidate Requirements :-

6–8 years of relevant experience in Data Science and Machine Learning.

Strong engineering and production ML deployment experience.

Updated LinkedIn profile.

Valid UAN number.

Interested candidates can share their updated resume along with their LinkedIn profile and UAN details.

About Company :-

eGrove Systems is a leading IT solutions providerspecializing in eCommerce, enterprise application development, AI-drivensolutions, digital marketing, and IT consulting services. Established in 2008,we are headquartered in East Brunswick, New Jersey, with a global presence.

Our expertise includes custom software development, mobile app solutions, DevOps, cloud services, AI chatbots, SEO automation tools, and workforce learning systems. We focus on delivering scalable, secure, and innovative technology solutions to enterprises, start-ups, and government agencies.

At eGrove Systems, we foster a dynamic and collaborative work culture driven by innovation, continuous learning, and teamwork. We provide our employees with cutting-edge technologies, professional growth opportunities, and a supportive work environment to thrive in their careers.

Pay: ₹120,000.00 - ₹130,000.00 per month

Benefits:

• Provident Fund

Work Location: In person