Data Scientist

Ennoventure, Inc.; Bengaluru; On-site; INR 15,00,000 - 22,00,000; Full time

Job summary

A technology firm in Bengaluru seeks a Data Scientist to manage data science projects and optimize AI/ML models. Candidates should have a Ph.D. or Master’s degree in relevant fields, with over 4 years of experience in computer vision and machine learning. This full-time role offers a competitive salary, health benefits, and continuous learning opportunities.

Benefits

Competitive Salary

Performance-Based Rewards

Health & Well-Being

Learning & Development

Personalized Growth Plans

Regular Compensation Reviews

Qualifications

• Minimum of 4+ years of hands-on work experience in computer vision and machine learning roles.
• Proven track record of implementing AI/ML algorithms and deploying them in a production environment.
• Strong programming skills in Python and familiarity with ML libraries.
• Deep understanding of machine learning algorithms and data processing techniques.

Responsibilities

• Manage and deliver data science projects from concept to deployment.
• Design, develop, and optimize AI/ML models using frameworks like PyTorch and TensorFlow.
• Collaborate with ML Engineers for model integration into production.
• Build and maintain robust data pipelines and evaluate model performance.

Skills

Computer vision

Machine learning

Data analysis

Python programming

Collaboration

Problem-solving

Communication

Education

Ph.D. or Master’s degree in Computer Science, Data Science, Statistics, Mathematics

Tools

TensorFlow

PyTorch

AWS

Google Cloud

Job description

Job Overview

Join Ennoventure, Inc. as a Data Scientist and help redefine the fight against counterfeit goods. Backed by investors such as Fenice Investment Group and Tanglin Venture Partners, you will contribute to cutting‑edge technology that authenticates every product.

Responsibilities

• Take full ownership of managing and delivering data science projects, from initial concept to deployment, ensuring alignment with business goals and timelines.
• Design, develop and optimize AI/ML models (e.g., object detection, segmentation, and synthetic data generation) using frameworks such as PyTorch and TensorFlow.
• Collaborate with ML Engineers to integrate models into production systems on cloud platforms (AWS, GCP, Azure).
• Build and maintain robust data pipelines, ensuring data quality and repeatability, and evaluate model performance using relevant performance metrics to achieve target performance.
• Analyze large datasets to extract insights, identify trends, and make data‑driven decisions that support business strategies.
• Document research findings and present the project updates to cross‑functional teams to guide decision‑making processes.
• Stay updated with the latest advancements in computer vision and machine learning to enhance the effectiveness of algorithms and models.

Qualifications

• Ph.D. or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Minimum of 4+ years of hands‑on work experience in computer vision and machine learning roles.
• Proven track record of implementing AI/ML algorithms and deploying them in a production environment.
• Experience in building and maintaining complex data pipelines for large datasets.
• Strong programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch).
• Deep understanding of machine learning algorithms, data processing techniques, and statistical methods.
• Expertise in big data technologies and cloud platforms (e.g., AWS, Google Cloud).
• Excellent problem‑solving abilities, strategic thinking, and attention to details.
• Demonstrate ability to collaborate effectively with cross‑functional teams, including engineers and product managers.
• Strong written and verbal communication skills; ability to convey complex technical concepts clearly to nontechnical stakeholders.
• Good to have:
  • Peer‑reviewed publications in top‑tier conferences or journals.
  • Experience with real‑time systems or edge‑device deployments.
  • Familiarity with MLOps best practices (CI/CD, Jenkins, Docker).

Benefits

• Competitive Salary that reflects your talent and drive.
• Performance‑Based Rewards that recognize your impact.
• Health & Well‑Being with comprehensive health insurance, mental health programs, and more.
• Learning & Development with ongoing investment in your skills.
• Personalized Growth Plans crafted to match your performance and career aspirations.
• Regular Compensation Reviews to ensure your value aligns with market trends.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Research