Tiger Analytics
3 weeks ago Be among the first 25 applicants
Tiger Analytics is looking for an experienced Principal Data Scientist to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:
Highly experienced Machine Learning Architect with a proven track record of designing and delivering end-to-end ML solutions across diverse business domains. The ideal candidate will have over 10 years of experience in data science, machine learning, and MLOps, and a deep understanding of scalable system design, model lifecycle management, and production-grade deployment pipelines This is a strategic and hands-on role, involving collaboration with data scientists, engineers, product teams, and business stakeholders to architect solutions that are robust, scalable, and aligned with business goals You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results
Requirements
What you'll do in the role-
Design and define system architecture for ML and AI-driven solutions across multiple business verticals Lead ML system design discussions and make high-level design choices for model serving, data pipelines, and MLOps frameworks Architect scalable and secure cloud-native platforms for ML model training, validation, deployment, and monitoring (AWS/GCP/Azure) Build reusable components and reference architectures for various stages of the ML lifecycle Define and enforce best practices in model versioning, CI/CD for ML, testing, and rollback strategies Deploy and manage machine learning & data pipelines in production environments Work on containerization and orchestration solutions for model deployment Participate in fast iteration cycles, adapting to evolving project requirements Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting and automated model deployment Ability to work with a global team, playing a key role in communicating problem context to the remote teams Excellent communication and teamwork skills
Basic Qualification-
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Typically requires 10+ years of hands-on work experience developing and applying advanced analytics solutions in a corporate environment with at least 4 years of experience programming with Python At least 7 years of experience productionizing, monitoring, and maintaining models Strong programming skills in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) Deep experience with MLOps tools such as MLflow, Kubeflow, Airflow, SageMaker, or Vertex AI Hands-on experience designing ML systems using cloud platforms like AWS, Azure, or GCP Strong understanding of data engineering, APIs, CI/CD pipelines, and model observability Excellent communication and stakeholder management skills
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Other Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Tiger Analytics by 2x Sign in to set job alerts for “Software Architect” roles.
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We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:
Highly experienced Machine Learning Architect with a proven track record of designing and delivering end-to-end ML solutions across diverse business domains. The ideal candidate will have over 10 years of experience in data science, machine learning, and MLOps, and a deep understanding of scalable system design, model lifecycle management, and production-grade deployment pipelines This is a strategic and hands-on role, involving collaboration with data scientists, engineers, product teams, and business stakeholders to architect solutions that are robust, scalable, and aligned with business goals You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results
Requirements
What you'll do in the role-
Design and define system architecture for ML and AI-driven solutions across multiple business verticals Lead ML system design discussions and make high-level design choices for model serving, data pipelines, and MLOps frameworks Architect scalable and secure cloud-native platforms for ML model training, validation, deployment, and monitoring (AWS/GCP/Azure) Build reusable components and reference architectures for various stages of the ML lifecycle Define and enforce best practices in model versioning, CI/CD for ML, testing, and rollback strategies Deploy and manage machine learning & data pipelines in production environments Work on containerization and orchestration solutions for model deployment Participate in fast iteration cycles, adapting to evolving project requirements Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting and automated model deployment Ability to work with a global team, playing a key role in communicating problem context to the remote teams Excellent communication and teamwork skills
Basic Qualification-
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Typically requires 10+ years of hands-on work experience developing and applying advanced analytics solutions in a corporate environment with at least 4 years of experience programming with Python At least 7 years of experience productionizing, monitoring, and maintaining models Strong programming skills in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) Deep experience with MLOps tools such as MLflow, Kubeflow, Airflow, SageMaker, or Vertex AI Hands-on experience designing ML systems using cloud platforms like AWS, Azure, or GCP Strong understanding of data engineering, APIs, CI/CD pipelines, and model observability Excellent communication and stakeholder management skills
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Other Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Tiger Analytics by 2x Sign in to set job alerts for “Software Architect” roles.
Solutions Architect, Financial Services Banking
New Jersey, United States $224,000.00-$356,500.00 1 week ago New Jersey, United States $88,000.00-$160,000.00 2 weeks ago Tech Lead/Software Engineer III - Job ID: 498
Lakewood, NJ $117,800.00-$189,000.00 2 weeks ago Technical Director, Enterprise (AV/UC SOLUTION ARCHITECT)
Rockleigh, NJ $125,000.00-$175,000.00 1 week ago Computer Vision & Algorithms Engineer (NJ Based)
Adobe Analytics & Customer Journey Analytics Solutions Architect
New Jersey, United States $46,000.00-$242,900.00 4 days ago Plainsboro, NJ $135,000.00-$155,000.00 1 week ago Senior Solutions Architect, Ethernet Networking - NVIS
New Jersey, United States $176,000.00-$276,000.00 3 weeks ago New Jersey, United States $110,000.00-$200,000.00 1 week ago Sr Staff Software Engineer, Cloud Control Plane (Azure/ GCP)
Englewood Cliffs, NJ $145,000.00-$170,000.00 3 weeks ago New Jersey, United States $148,000.00-$287,500.00 6 days ago New Jersey, United States $38.03-$76.06 3 weeks ago New Jersey, United States $38.03-$76.06 2 weeks ago Staff Software Engineer (AWS/SQL/Python/TypeScript)
Englewood Cliffs, NJ $130,000.00-$170,000.00 3 weeks ago New Jersey, United States $148,000.00-$287,500.00 2 weeks ago Englewood Cliffs, NJ $130,000.00-$170,000.00 3 weeks ago Newark, NJ $165,000.00-$205,000.00 1 week ago WorkForce Software Lead Infrastructure Engineer
Essex County, NJ $79,800.00-$213,930.00 1 week ago Senior Solutions Architect, Financial Services Capital Markets
New Jersey, United States $224,000.00-$356,500.00 1 week ago Sr. Software Engineer - Applied AI (REMOTE)
Atlantic City, NJ $80,000.00-$215,000.00 4 days ago Salesforce Solutions Architect (Technical Solutions Engineer)
New Jersey, United States $60,000.00-$80,000.00 6 days ago Software Engineering Technical Leader- Front End
New Jersey, United States $154,000.00-$241,700.00 2 weeks ago Woodbridge, NJ $90,000.00-$130,000.00 1 day ago AI and Data Business Architect, Business Solutions Commercialization
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr