Position Summary:
Were looking for a Data Scientist to join our analytics and AI team to design build and deploy machine learning and deep learning solutions for client engagements. Youll work on end-to-end model developmentdata preparation model design using PyTorch or TensorFlow scaling with distributed engines like Spark and production hand-offwhile partnering with engineers consultants and business stakeholders
Responsibilities:
- Design develop and validate ML/DL models using PyTorch or TensorFlow for real-world business problems.
- Implement production-ready code in Python and collaborate with engineering teams to deploy models.
- Process and transform large datasets using distributed computing frameworks (e.g. Spark/PySpark).
- Lead model training hyperparameter tuning experiment tracking and performance evaluation.
- Build reusable pipelines and components for feature engineering training and inference.
- Translate business use cases into technical solutions; present findings and model implications to non-technical stakeholders.
- Ensure model reliability monitoring and compliance with governance and security requirements.
- Mentor junior team members and contribute to best practices code reviews and architecture decisions.
Required Skills & Experience:
- 35 years of hands-on experience building ML or deep learning models using PyTorch or TensorFlow.
- Strong Python programming skills with clean well-documented version-controlled code.
- Experience working with distributed computing engines such as Spark for large-scale data processing.
- Solid grasp of core ML concepts: supervised/unsupervised learning neural network architectures regularization evaluation metrics and model validation.
- Practical experience with model training workflows hyperparameter tuning tools and ML tooling (e.g. MLflow TensorBoard).
- Good communication skills and experience working in cross-functional teams.
Preferred qualifications (nice-to-have)
- Experience with graph databases and graph ML (e.g. Neo4j Amazon Neptune).
- Experience in cybersecurity use cases (threat detection anomaly detection fraud analytics).
- Familiarity with PyTorch Geometric or other graph neural network libraries.
- Experience with cloud platforms (AWS Azure GCP) and containerization/orchestration (Docker Kubernetes).
- Exposure to MLOps practices: CI/CD for models monitoring automated retraining.
- Advanced degree (MS/PhD) in Computer Science Statistics Data Science or related field is a plus.
New Vision is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees
Required Experience:
Senior IC
Position Summary:Were looking for a Data Scientist to join our analytics and AI team to design build and deploy machine learning and deep learning solutions for client engagements. Youll work on end-to-end model developmentdata preparation model design using PyTorch or TensorFlow scaling with distri...
Position Summary:
Were looking for a Data Scientist to join our analytics and AI team to design build and deploy machine learning and deep learning solutions for client engagements. Youll work on end-to-end model developmentdata preparation model design using PyTorch or TensorFlow scaling with distributed engines like Spark and production hand-offwhile partnering with engineers consultants and business stakeholders
Responsibilities:
- Design develop and validate ML/DL models using PyTorch or TensorFlow for real-world business problems.
- Implement production-ready code in Python and collaborate with engineering teams to deploy models.
- Process and transform large datasets using distributed computing frameworks (e.g. Spark/PySpark).
- Lead model training hyperparameter tuning experiment tracking and performance evaluation.
- Build reusable pipelines and components for feature engineering training and inference.
- Translate business use cases into technical solutions; present findings and model implications to non-technical stakeholders.
- Ensure model reliability monitoring and compliance with governance and security requirements.
- Mentor junior team members and contribute to best practices code reviews and architecture decisions.
Required Skills & Experience:
- 35 years of hands-on experience building ML or deep learning models using PyTorch or TensorFlow.
- Strong Python programming skills with clean well-documented version-controlled code.
- Experience working with distributed computing engines such as Spark for large-scale data processing.
- Solid grasp of core ML concepts: supervised/unsupervised learning neural network architectures regularization evaluation metrics and model validation.
- Practical experience with model training workflows hyperparameter tuning tools and ML tooling (e.g. MLflow TensorBoard).
- Good communication skills and experience working in cross-functional teams.
Preferred qualifications (nice-to-have)
- Experience with graph databases and graph ML (e.g. Neo4j Amazon Neptune).
- Experience in cybersecurity use cases (threat detection anomaly detection fraud analytics).
- Familiarity with PyTorch Geometric or other graph neural network libraries.
- Experience with cloud platforms (AWS Azure GCP) and containerization/orchestration (Docker Kubernetes).
- Exposure to MLOps practices: CI/CD for models monitoring automated retraining.
- Advanced degree (MS/PhD) in Computer Science Statistics Data Science or related field is a plus.
New Vision is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees
Required Experience:
Senior IC
View more
View less