Referso Jobs

Machine Learning Associate Advisor - HIH - Evernorth

The Cigna Group · Posted Nov 10, 2026

Open

Hyderabad, Telangana, India
Hybrid
Full-time · Associate
9+ years

Machine Learning Associate Advisor - HIH - Evernorth

The Cigna Group · Posted Nov 10, 2026

Open

Hyderabad, Telangana, India
Hybrid
Full-time · Associate
9+ years

Software Engineer – Digital Asset Management, Retail & Marcom Engineering

Apple · Posted Nov 11, 2026

Open

Austin, Texas, United States
On-site
Mid
3+ years

Apply with RefersoAI Apply on careers page

Design and develop next-generation enterprise asset platforms that manage, transform, index, and distribute massive volumes of creative and digital assets worldwide.

Responsibilities

Design and develop scalable distributed backend systems for digital asset management
Integrate machine learning and generative AI capabilities into asset workflows
Collaborate with product managers, ML practitioners, platform architects, and downstream engineering teams
Design resilient architectures and evolve enterprise DAM platforms
Implement robust AI/ML pipelines that deliver high impact

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or related technical field
Nice to have: Digital Asset Management experience
Nice to have: algorithms
Nice to have: data structures
Nice to have: distributed systems

Skills

Java Spring Boot RESTful APIs event-driven architectures distributed streaming systems

Forward Deployed Solution Engineer – Applied AI FDE

ServiceNow · Posted Nov 10, 2026

Open

Dublin, Leinster, Ireland
10+ years

Apply with RefersoAI Apply on careers page

Team Bio: ServiceNow’s Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform.

Responsibilities

Build solution-ready LLM-enabled applications that span backend logic, data orchestration, and front-end UI
Operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments
Codify reusable assets—libraries, prompts, scaffolds—to accelerate future engagements
Shape developer experience by sharing feedback with platform and product teams
Deliver Production-ready solution in agile end-to-end sprints

Requirements

Nice to have: Experience integrating AI into SaaS platforms like ServiceNow or Salesforce
Nice to have: Track record of production deployments in secure, regulated enterprise environments
Nice to have: Contributions to dev experience tooling, frameworks, or reusable AI scaffolds

Skills

Python Node.js Java React

DevOps/MLOps Specialist

Bosch Group · Posted Nov 10, 2026

Open

Bengaluru, Karnataka, India
Full-time · Senior
5–6 years

Apply with RefersoAI Apply on careers page

The role involves leading the design and implementation of end-to-end MLOps and LLMOps pipelines, developing automation for model deployment, and collaborating with teams to integrate scalable AI systems.

Responsibilities

Lead the design and implementation of end-to-end MLOps and LLMOps pipelines, from model development and training to deployment and continuous monitoring in production environments.
Develop automation for model deployment and management, ensuring scalability, efficiency, and cost-effectiveness, particularly for large language models (LLMs) in cloud environments.
Implement and manage CI/CD pipelines for both ML and LLM models, integrating them seamlessly into the production environment.
Collaborate with data scientists, ML engineers, and software developers to ensure the integration of LLMs and ML models into scalable, production-ready systems.
Build data pipelines and workflows for training and serving models, ensuring efficient data processing and pipeline orchestration using tools like Kubeflow, Airflow, or MLflow.

Requirements

Bachelor’s degree in Computer Science
Master’s degree in Computer Science
Engineering
Data Science
BE

Skills

MLOps LLMOps

Senior MLOps Engineer

Proofpoint · Posted Nov 6, 2026

Open

Cordoba, Cordoba, Argentina
Senior
Competitive compensation
5+ years

Apply with RefersoAI Apply on careers page

Key to building and maintaining the infrastructure that brings machine learning models from development to production, directly impacting how fast and safely ML models are shipped to production.

Responsibilities

Design, build, and maintain CI/CD pipelines for ML model training and deployment (Harness, GitHub Actions, or similar)
Manage container images, base image governance, and vulnerability remediation for ML inference services
Deploy and operate ML inference endpoints on Kubernetes across AWS and Azure environments
Lead FedRAMP compliance efforts for ML infrastructure: security controls, audit preparation, vulnerability scanning (Snyk, CIS), and remediation
Manage cloud resources (GPU nodes, compute clusters, IRSA configurations) to support model serving at scale

Requirements

Nice to have: Model serving

Skills

Python Kubernetes CI/CD Terraform Helm PyTorch

Senior Lead Software Engineer - AI/ML Deep Learning & GPU ML Serving

JPMorgan Chase & Co. · Posted Nov 9, 2026

Open

Hyderabad, Telangana, India
Full-time · Lead
5+ years

Apply with RefersoAI Apply on careers page

Senior Lead Software Engineer within an agile team focused on enhancing, building, and delivering market-leading technology products, specifically in AI/ML Deep Learning and GPU ML serving.

Responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes
Applies knowledge of tools within the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities
Drives decisions that influence the product design, application functionality, and technical operations and processes

Requirements

Formal training or certification on software engineering concepts
Nice to have: AWS
Nice to have: GCP
Nice to have: Financial services experience
Nice to have: payments systems

Skills

Python TensorFlow PyTorch Cloud Native Technologies

Machine Learning Associate Advisor - HIH - Evernorth

Machine Learning Associate Advisor - HIH - Evernorth

Responsibilities

Requirements

Skills

Benefits

Software Engineer – Digital Asset Management, Retail & Marcom Engineering

Responsibilities

Requirements

Skills

Forward Deployed Solution Engineer – Applied AI FDE

Responsibilities

Requirements

Skills

DevOps/MLOps Specialist

Responsibilities

Requirements

Skills

Senior MLOps Engineer

Responsibilities

Requirements

Skills

Senior Lead Software Engineer - AI/ML Deep Learning & GPU ML Serving

Responsibilities

Requirements

Skills

Benefits

TorchServe jobs

Responsibilities

Requirements

Skills

Benefits

Responsibilities

Requirements

Skills

Responsibilities

Requirements

Skills

Responsibilities

Requirements

Skills

Responsibilities

Requirements

Skills

Responsibilities

Requirements

Skills

Benefits