Prodapt · 1 hour ago
Data Science & Machine Learning Architect
Prodapt is the largest and fastest-growing specialized player in the Connectedness industry, recognized by Gartner. They are seeking an experienced Data Science & Machine Learning Architect to lead the design, development, and deployment of scalable advanced analytics, machine learning, and AI solutions.
Information TechnologySoftware
Responsibilities
Define and own the end-to-end architecture for data science, machine learning, and AI solutions
Design scalable, secure, and high-performance ML platforms and pipelines
Establish best practices, standards, and frameworks for model development, deployment, and governance
Evaluate and recommend tools, technologies, and cloud services for analytics and AI initiatives
Lead the development of advanced machine learning models (supervised, unsupervised, NLP, time series, deep learning)
Guide teams on feature engineering, model selection, training, evaluation, and optimization
Ensure model explainability, fairness, and compliance where applicable
Review and approve model designs and code from data scientists
Architect and implement MLOps pipelines for CI/CD, model versioning, monitoring, and retraining
Collaborate with data engineering teams on data ingestion, transformation, and feature stores
Ensure reliable deployment using containers, APIs, and orchestration tools
Monitor model performance, drift, and operational metrics in production
Design ML solutions on AWS, Azure, or GCP (e.g., SageMaker, Azure ML, Vertex AI)
Leverage big data technologies such as Spark, Databricks, Snowflake, or Hadoop
Ensure security, scalability, and cost optimization across platforms
Qualification
Required
13+ years of experience in data science, machine learning, analytics, or related fields
5+ years in an architecture or technical leadership role
Strong expertise in Python (required); experience with R or Scala is a plus
Hands-on experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost
Deep knowledge of ML system design, MLOps, and model lifecycle management
Experience with cloud platforms (AWS, Azure, or GCP)
Solid understanding of SQL, data modeling, and data warehousing
Excellent communication and stakeholder management skills
Preferred
Master's or PhD in Computer Science, Data Science, AI, Statistics, or related field
Experience with generative AI, LLMs, and prompt engineering
Knowledge of responsible AI, model governance, and regulatory compliance
Prior experience in industries such as finance, healthcare, retail, telecom, or supply chain
Architecture certifications (AWS, Azure, GCP) are a plus
Company
Prodapt
Prodapt is the largest specialized player in the Connectedness industry.
H1B Sponsorship
Prodapt has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (90)
2024 (113)
2023 (32)
2022 (47)
2021 (32)
2020 (73)
Funding
Current Stage
Late StageTotal Funding
$75MKey Investors
ServiceNow Ecosystem VenturesAffirma Capital
2024-07-24Series Unknown
2019-09-09Private Equity· $75M
Recent News
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2025-09-19
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