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AI/ML Engineer

Hybrid in San Ramon, CA, US • Posted 30+ days ago • Updated 17 days ago

Contract W2

Contract Independent

Hybrid

Depends on Experience

Akshaya Inc

Fitment

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Job Details

Skills

Python
ML
Docker
Debugging
Machine Learning Operations (ML Ops)

Summary

Role: AI/ML Engineer

Location: San Roman, CA OR Redwood City, CA

Job Type: Contract

Job Description:

We are seeking a Senior AI/ML Engineer to design, build, and deploy large-scale, production-grade machine learning systems powering our Personal AI & Human Connection intelligence platform. You will architect and implement end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and monitoring ensuring reliability, scalability, and compliance with Personal data standards.

The ideal candidate combines strong software engineering fundamentals with deep experience in machine learning, MLOps, and cloud-native systems (AWS/Google Cloud Platform). You ll work closely with product, data, and executive teams to translate real-world challenges into impactful AI solutions for our users.

Responsibilities

Design and implement end-to-end ML pipelines data ingestion, preprocessing, model training, validation, and deployment.

Develop and productionize ML models for prediction, classification, and recommendation tasks across complex workflows.

Build automated retraining and evaluation pipelines using tools such as AWS SageMaker, Vertex AI, Kubeflow, or MLflow.

Develop and maintain feature stores and data transformation pipelines using Spark, PyTorch, or TensorFlow.

Deploy and serve models via REST/gRPC endpoints or Lambda-based inference APIs with high availability and low latency.

Collaborate with backend engineers to integrate models into production microservices and event-driven workflows.

Implement model observability and drift detection, logging key metrics (accuracy, latency, bias, cost).

Ensure all pipelines and models meet security, privacy, and compliance standards (HIPAA, SOC 2).

Write clean, testable code; create unit, integration, and performance tests for all critical ML components.

Partner with product and data science teams to refine model goals, define success metrics, and optimize inference performance.

Qualifications

Bachelor s or Master s degree in Computer Science, Machine Learning, or a related field.

6+ years of hands-on experience building, training, and deploying ML models in production.

Expert in Python and ML libraries/frameworks: PyTorch, TensorFlow, scikit-learn.

Strong experience with AWS AI/ML stack (S3, SageMaker, Lambda, Step Functions, ECS, DynamoDB, RDS).

Proficiency in data pipelines (Airflow, Spark, Glue) and feature engineering for large, structured/unstructured datasets.

Familiarity with Docker/Kubernetes and deploying ML services via CI/CD.

Deep understanding of ML lifecycle management and versioning (MLflow, DVC, Weights & Biases).

Knowledge of prompt engineering, RAG pipelines, and LLM integration is a plus.

Experience handling sensitive data (PII), with strong focus on security, encryption, and compliance.

Excellent debugging and optimization skills across model performance, latency, and infrastructure cost.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10507810
Position Id: 8915779
Posted 30+ days ago

Company Info

About Akshaya Inc

Akshaya Inc is one of the premier IT Consulting Services Company in the Bay Area.

Experienced and trained IT professionals at Akshaya Inc provide variety of IT services including IT staff augmentation, application development, IT support and offshore development.

Our world class professionals can assist you with development and support in ERP (SAP, Oracle Applications), Business Intelligence and Data Warehousing, Web development and much more.

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