Deployment Workflows jobs

Build and maintain the workflows and infrastructure that support the end-to-end ML lifecycle
Partner with researchers and ML practitioners to productionize models and enable faster iteration
Design, build, and improve data pipelines and training pipelines
Improve data processing, annotation workflows, and ML system efficiency
Deploy and maintain the background systems that support model training and inference

Skills

Machine Learning Engineering MLOps Data Engineering Training Pipelines Deployment Workflows Monitoring Systems Production Systems Software Engineering Fundamentals

IT Developer - LLM Engineer

Medtronic · Posted Nov 11, 2026

Open

Nanakramguda, Telangana, India
Mid
3+ years

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Design, evaluate, optimize, and operationalize enterprise AI systems across the complete model lifecycle.

Compensation

Medtronic offers a competitive Salary and flexible Benefits Package

Responsibilities

Design and implement training, fine-tuning, and adaptation pipelines for open-weight Large Language Models using supervised fine-tuning, LoRA, QLoRA, and Parameter-Efficient Fine-Tuning (PEFT) techniques.
Build and curate high-quality datasets from operational data sources, incidents, runbooks, logs, knowledge articles, and validated interactions for model training and evaluation.
Develop model evaluation frameworks covering reasoning, instruction following, hallucination detection, tool calling, safety, robustness, and structured output quality.
Evaluate and optimize retrieval-augmented generation systems through retrieval analysis, embedding model comparison, reranking, chunking strategies, and groundedness assessment.
Design and execute agent and tool-calling benchmarks that measure task completion, tool selection accuracy, failure recovery, and operational safety.

Requirements

Bachelor's Degree in Engineering
MCA
MSc
Nice to have: direct preference optimization (DPO)
Nice to have: TRL

Skills

Python

Manager, Engineering - Software Integration

f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Oct 21, 2026

Open

San Diego, California, United States
Full-time · Manager
7+ years

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Lead a team responsible for integrating, validating, and scaling the Hivemind autonomy platform across simulation, hardware-in-the-loop, and operational environments, while serving as a technical leader and people manager.

Compensation

Pay within range listed + Bonus + Benefits + Equity

Responsibilities

Mentor and develop a team of engineers focused on software integration, system validation, and developer experience.
Establish team priorities, drive execution, and foster a culture of technical excellence, ownership, and continuous improvement.
Actively contribute to system integration, validation, and debugging activities and develop deep expertise in our autonomy stack.
Guide the architecture and implementation of integration frameworks, deployment workflows, and configuration management tools that streamline validation across Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and flight environments.
Review system logs, telemetry, and rosbag data to diagnose integration defects.

Requirements

Bachelor’s degree in CS, Comp Eng, Robotics, or a related field
Master’s degree
PhD
Nice to have: hardware or embedded systems
Nice to have: white box testing

Skills

Python C++

IT Infrastructure Managers: Interview on Desktop Provisioning Strategies

Terac · Posted Nov 10, 2026

Open

Remote, United States
Remote
$158–$158

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Participate in a paid, AI‑moderated interview to discuss desktop provisioning strategies and workplace technology management.

Compensation

$158 one-time

Responsibilities

Walk us through your organization's desktop provisioning workflows
Describe the tools you use to manage workplace technology and IT infrastructure
Share your perspective on hardware lifecycle management and deployment challenges
Discuss how you support distributed or remote workforces through technology

Skills

desktop provisioning hardware lifecycle management deployment workflows workplace technology IT infrastructure

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Senior Security Engineer, Red Team & Threat Intel

Grab · Posted Nov 9, 2026

Open

Jakarta, Jakarta Special Capital Region, Indonesia
Senior
4+ years

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Lead and execute red team operations, develop offensive tooling, and provide threat intelligence to strengthen Grab's security posture across cloud, CI/CD, endpoint, identity, application, and AI environments.

Responsibilities

Lead end-to-end red team operations and intelligence-led Purple Team exercises
Develop command-and-control tooling, implants, payload delivery mechanisms, and operator workflows
Red team AI systems, including internal copilots, agentic workflows, AI-assisted operational tools, and MLOps environments
Use AI tools to improve research, automation, payload development, reporting, operational planning, and analysis of defensive coverage
Translate red team findings and threat intelligence into clear engineering actions

Requirements

Bachelor's degree
Nice to have: knowledge of Windows
Nice to have: knowledge of Linux
Nice to have: knowledge of macOS

Skills

offensive security red teaming security engineering exploit development cloud security

Data Analytics Engineer

Avacone · Posted Nov 5, 2026

Open

Basel, Basel-City, Switzerland

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Design, build, and maintain SQL-based data models in the cloud data warehouse to support reporting, self-service analytics, and business analysis.

Responsibilities

Design, build, and maintain SQL-based data models in the cloud data warehouse to support reporting, self-service analytics, and business analysis.
Translate business requirements into reusable datasets and work with stakeholders to define consistent KPIs across reports and dashboards.
Build and maintain automated data tests and monitoring. Investigate data quality issues, trace them to their source, and coordinate fixes with the teams responsible.
Document data models, metric definitions, and data lineage so users can understand where data comes from and how to use it.
Improve query and transformation performance while managing warehouse compute costs.

Requirements

Nice to have: Python
Nice to have: Airflow
Nice to have: Dagster
Nice to have: Looker
Nice to have: Power BI

Skills

Advanced SQL complex joins window functions query optimization analytical data models table grain facts and dimensions cloud data warehouse Snowflake BigQuery Redshift Databricks SQL dbt Git code reviews automated data testing

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Senior Principal AI Research Engineer

Pfizer · Posted Nov 6, 2026

Open

Bothell, Washington, United States
Full-time · Senior
$139K–$232K per year
2+ years

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Build and lead AI systems that transform innovative models into secure, reliable, and scalable capabilities for scientists across Pfizer.

Compensation

The annual base salary for this position ranges from $139,100.00 to $231,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program.

Responsibilities

Own an end-to-end subsystem, platform capability, or workflow
Make sound architecture and design tradeoff decisions
Deliver production-quality software and AI solutions
Drive technical execution for complex projects
Influence engineering standards and best practices

Requirements

PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related technical discipline with 2+ years of relevant experience
Master's degree with 5+ years of relevant experience
Bachelor's degree with 6+ years of relevant experience
Nice to have: Experience in life sciences
Nice to have: Healthcare

Skills

Python PyTorch JAX Distributed GPU training

Senior AI Research Engineer

Pfizer · Posted Nov 6, 2026

Open

Bothell, Washington, United States
Hybrid
Full-time · Senior
$106K–$177K per year
2+ years

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Build and deliver production AI systems that enable scientific discovery at Pfizer.

Compensation

The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program.

Responsibilities

Own end-to-end subsystem, platform capability, or workflow
Make sound architecture and design tradeoff decisions
Deliver production-quality software and AI solutions
Drive technical execution for complex projects
Influence engineering standards and best practices

Requirements

PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or related discipline
Master's degree with 2+ years of relevant experience
Bachelor's degree with 4+ years of relevant experience
Nice to have: Experience in life sciences, healthcare, biotechnology, or highly regulated industries
Nice to have: Experience with multimodal AI

Skills

Python PyTorch JAX Software architecture