Senior/Lead Data Scientist.
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About Us
We turn customer challenges into growth opportunities. Material is a global strategy partner to the worlds most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences. We use deep human insights design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve. Srijan a Material company is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners
Job Title: Senior/Lead Data Scientist
Experience Required: 4 Years
About the Role:
We are seeking a skilled and innovative Machine Learning Engineer with 4 years of experience to join our AI/ML team. The ideal candidate will have strong expertise in Computer Vision Generative AI (GenAI) and Deep Learning with a proven track record of deploying models in production environments using Python MLOps best practices and cloud platforms like Azure ML.
Key Responsibilities:
- Design develop and deploy AI/ML models for Computer Vision and GenAI use cases
- Build fine-tune and evaluate deep learning architectures (CNNs Transformers Diffusion models etc.)
- Collaborate with product and engineering teams to integrate models into scalable pipelines and applications
- Manage the complete ML lifecycle using MLOps practices (versioning CI/CD monitoring retraining)
- Develop reusable Python modules and maintain high-quality production-grade ML code
- Work with Azure Machine Learning Services for training inference and model management
- Analyze large-scale datasets extract insights and prepare them for model training and validation
- Document technical designs experiments and decision-making processes
Required Skills & Experience:
- 45 years of hands-on experience in Machine Learning and Deep Learning
- Strong experience in Computer Vision tasks such as object detection image segmentation OCR etc.
- Practical knowledge and implementation experience in Generative AI (LLMs diffusion models embeddings)
- Solid programming skills in Python with experience using frameworks like PyTorch TensorFlow OpenCV Transformers (HuggingFace) etc.
- Good understanding of MLOps concepts model deployment and lifecycle management
- Experience with cloud platforms preferably Azure ML for scalable model training and deployment
- Familiarity with data labeling tools synthetic data generation and model interpretability
- Strong problem-solving debugging and communication skills
Good to Have:
- Experience with NLP multimodal learning or 3D computer vision
- Familiarity with containerization tools (Docker Kubernetes)
- Experience in building end-to-end ML pipelines using MLflow DVC or similar tools
- Exposure to CI/CD pipelines for ML projects and working in agile development environments
Education:
- Bachelors or Masters degree in Computer Science Electrical Engineering Data Science or a related field
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
