Job Title: Senior Data Scientist
Experience: 8+ Years
Location: Remote
Budget: Up to 80 LPA
Industry: AI Product/ Service
Job Overview:
We are looking for an experienced Senior Data Scientist to take the lead in designing, developing, and deploying cutting-edge machine learning solutions. The ideal candidate should have strong expertise in object detection, tracking, and recognition, with extensive hands-on experience in ML model development, data engineering, and production deployment. This role requires both individual contributions (IC) and team leadership to drive innovation.
Key Responsibilities:
- Develop and implement machine learning algorithms for object detection, tracking, and recognition.
- Build and fine-tune ML models for various computer vision applications.
- Handle large-scale image and video datasets to enhance model accuracy.
- Deploy end-to-end machine learning solutions in production environments.
- Write efficient, scalable, and high-performance Python code for ML applications.
- Utilize Docker, Kubernetes, CI/CD, and Jenkins for model deployment and automation.
- Work closely with engineers and researchers to build, test, and refine ML-driven systems.
- Keep up to date with the latest advancements in machine learning and AI.
Required Skills & Experience:
- 8-14 years of experience in machine learning and computer vision.
- Strong Python programming skills with expertise in relevant libraries and frameworks.
- Proven ability to design, develop, and deploy large-scale ML solutions.
- Hands-on experience with Docker, Kubernetes, CI/CD, and Jenkins for model deployment.
- Strong understanding of data engineering and handling large datasets.
- Experience in transitioning machine learning models from research to production.
- Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and OpenCV.
- Familiarity with MLOps and cloud-based deployment.
- Excellent problem-solving and analytical abilities.