SAN R&D Business Solutions
About the Role
We are seeking an experienced and innovative AI/ML Engineer to design, develop, and deploy advanced machine learning, deep learning, and AI solutions across enterprise systems. This role requires both technical expertise and strategic thinking to build scalable, high-performance AI applications that drive measurable business impact. The ideal candidate is passionate about AI, thrives in collaborative environments, and has hands-on experience implementing production-grade models and AI pipelines. Key Responsibilities
AI/ML Solution Development: Design, train, and deploy machine learning and deep learning models for enterprise-scale applications.
Feature engineering, data preprocessing, and statistical analysis on complex datasets from multiple sources.
Collaborate with engineering and product teams to integrate AI/ML solutions into production systems and platforms.
Optimize model performance for scalability, accuracy, and reliability.
MLOps & Production Support: Build and maintain MLOps pipelines for model deployment, monitoring, and retraining.
Implement CI/CD processes for AI workflows using tools such as Jenkins, Git, or Airflow.
Ensure adherence to best practices for reproducibility, versioning, and monitoring of models.
Collaboration & Knowledge Sharing: Work closely with data engineers, data scientists, and business stakeholders to identify AI opportunities and define success metrics.
Mentor junior team members and contribute to internal AI best practices and knowledge-sharing.
Stay current with emerging AI/ML technologies, trends, and ethical practices.
Qualifications
8+ years of experience in AI, ML, or data science roles.
Proven expertise in building, deploying, and maintaining ML models (supervised, unsupervised, and deep learning).
Strong proficiency in Python, TensorFlow, PyTorch, and SQL; experience with cloud platforms (AWS, Azure, or GCP).
Solid understanding of data structures, model optimization, statistics, and feature engineering.
Experience with AI governance, ethical AI frameworks, and responsible AI implementation.
Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, or a related field.
Job Details
Job Title: AI/ML Engineer
Experience: 8+ Years
Location: California, United States
Job Type: C2C, W2
Visa Eligibility: H1B, GC, USC, H4 candidates can apply
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr
We are seeking an experienced and innovative AI/ML Engineer to design, develop, and deploy advanced machine learning, deep learning, and AI solutions across enterprise systems. This role requires both technical expertise and strategic thinking to build scalable, high-performance AI applications that drive measurable business impact. The ideal candidate is passionate about AI, thrives in collaborative environments, and has hands-on experience implementing production-grade models and AI pipelines. Key Responsibilities
AI/ML Solution Development: Design, train, and deploy machine learning and deep learning models for enterprise-scale applications.
Feature engineering, data preprocessing, and statistical analysis on complex datasets from multiple sources.
Collaborate with engineering and product teams to integrate AI/ML solutions into production systems and platforms.
Optimize model performance for scalability, accuracy, and reliability.
MLOps & Production Support: Build and maintain MLOps pipelines for model deployment, monitoring, and retraining.
Implement CI/CD processes for AI workflows using tools such as Jenkins, Git, or Airflow.
Ensure adherence to best practices for reproducibility, versioning, and monitoring of models.
Collaboration & Knowledge Sharing: Work closely with data engineers, data scientists, and business stakeholders to identify AI opportunities and define success metrics.
Mentor junior team members and contribute to internal AI best practices and knowledge-sharing.
Stay current with emerging AI/ML technologies, trends, and ethical practices.
Qualifications
8+ years of experience in AI, ML, or data science roles.
Proven expertise in building, deploying, and maintaining ML models (supervised, unsupervised, and deep learning).
Strong proficiency in Python, TensorFlow, PyTorch, and SQL; experience with cloud platforms (AWS, Azure, or GCP).
Solid understanding of data structures, model optimization, statistics, and feature engineering.
Experience with AI governance, ethical AI frameworks, and responsible AI implementation.
Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, or a related field.
Job Details
Job Title: AI/ML Engineer
Experience: 8+ Years
Location: California, United States
Job Type: C2C, W2
Visa Eligibility: H1B, GC, USC, H4 candidates can apply
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr