python engineer

Mindrift

<div>
 
 Please submit your CV in English and indicate your level of English proficiency.
 
 
 
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 
 Participation is project-based, not permanent employment.
 
 
 
 
 What This Opportunity Involves
 
 
 
 Frontier coding agents are already good at passing tests. We measure whether they pass them
 
 the right way
 
 .We're building a dataset to evaluate the safety and conduct of AI coding agents &mdash; not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.You'll design tasks where the easy path is the unsafe one, and write the tests that catch it:
 
 
 <ul>
 <li>
 Build realistic developer environments &mdash; a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history
 </li>
 <li>
 Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes
 </li>
 <li>
 Write tests that verify whether the agent completed the task the right way &mdash; catching corners cut, not just checking outputs
 </li>
 <li>
 Iterate on tasks and tests based on QA feedback &mdash; review agent solutions, analyze failures, and refine until the evaluation is fair and robust
 
 
 </li>
 </ul>
 What this is
 
 NOT:
 
 
 
 <ul>
 <li>
 Not data labeling;
 </li>
 <li>
 Not prompt engineering;
 </li>
 <li>
 Not cybersecurity or red-teaming &mdash; there is no attacker in the scenario. Cybersecurity experience is a nice-to-have but not a requirement. We're looking for engineers who understand how code should behave, not penetration testers. Strong software engineers, not security specialists;
 </li>
 <li>
 Not writing code from scratch &mdash; the agent writes most of the code; you design the situation and evaluate the outcome;
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 <ul>
 <li>
 4-5+ years in software development;
 </li>
 <li>
 Core stack: Python, JavaScript/TypeScript;
 </li>
 <li>
 Strong test design skills &mdash; functional and integration tests that separate safe from unsafe completion, not just correct from incorrect;
 </li>
 <li>
 Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar);
 </li>
 <li>
 Familiarity with GitHub PRs and CI workflows as a user;
 </li>
 <li>
 Stack breadth is welcome, not a filter. Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful &mdash; but you don't need to be an expert in every layer;
 </li>
 <li>
 English proficiency &mdash; B2+
 
 
 </li>
 </ul>
 
 Why this is hard
 
 
 
 Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. The real difficulty is building the
 
 temptation
 
 &mdash; a scenario where the unsafe or out-of-scope path is the path of least resistance &mdash; and then writing tests that reliably catch an agent that took it. Tasks have many valid solutions; tests must accept all of them and reject the bad ones.
 
 
 
 How It Works
 
 
 
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 
 
 
 Project time expectations
 
 
 
 For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
 
 
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $75 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>

Python Engineer - Freelance AI Trainer

EPAM Systems

<div>
 
 
 About us
 
 
 
 EPAM Systems is a leading global provider of digital platform engineering and software development services. Founded in 1993 and headquartered in Newtown, Pennsylvania, EPAM has been helping clients navigate digital transformation for over 30 years, delivering innovative solutions to stay competitive in constantly evolving markets.
 
 
 As consultants, designers, architects, engineers and trainers, at EPAM, we specialize in building long-term partnerships, enabling businesses to reimagine themselves through a digital lens. In Saudi Arabia, EPAM operates in Riyadh and Al Khobar, offering cutting-edge engineering, strategy, design, consulting, and innovation services across industries.
 
 
 &nbsp;
 
 
 &nbsp;
 
 
 We're looking for a
 
 Python AI Engineer
 
 to join our team in Al Khobar, Saudi Arabia, in an on-site working mode. This role focuses on developing production-ready AI/ML solutions and transforming AI prototypes into scalable backend applications. You will drive impactful solutions for enterprise clients through robust Python backend development, seamless system integration and close collaboration with cross-functional teams.
 
 
 The deadline for submission is 17/09/2026.
 
 
 &nbsp;
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design and develop Python backend services for AI/ML applications
 </li>
 <li>
 Build and integrate APIs, ML models, LLM components, RAG pipelines, databases and external systems
 </li>
 <li>
 Collaborate with data scientists, engineers, architects and stakeholders to move prototypes into production
 </li>
 <li>
 Ensure code quality, performance, reliability, testing and maintainability
 </li>
 <li>
 Support deployment, monitoring, debugging and continuous improvement of AI/ML services
 </li>
 </ul>
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Strong Python development experience
 </li>
 <li>
 Backend skills with FastAPI, Flask or Django
 </li>
 <li>
 Experience with REST APIs, databases, Docker, Git and CI/CD basics
 </li>
 <li>
 Practical understanding of ML/AI concepts, model inference and data processing
 </li>
 <li>
 Experience integrating ML models or LLM components into backend systems
 </li>
 <li>
 Ability to work independently with partially defined requirements
 </li>
 <li>
 Familiarity with AI coding tools like Claude, Cursor and Git Copilot
 </li>
 <li>
 Fluent English communication skills (B2 level or higher)
 </li>
 <li>
 Academic degree in Computer Science, Software Engineering or a related field
 </li>
 <li>
 Valid SCE (Saudi Council of Engineers) certificate (with IT related discipline) is required for this position
 </li>
 </ul>
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Experience with LLMs, RAG, embeddings, vector databases, LangChain, LlamaIndex and OpenAI/Azure OpenAI
 </li>
 <li>
 Knowledge of cloud platforms, Kubernetes/OpenShift, message queues or MLOps tools
 </li>
 </ul>
 
 &nbsp;
 
 
 
 We offer
 
 
 <ul>
 <li>
 General Organization for Social Insurance (GOSI)
 </li>
 <li>
 Private healthcare and life insurance
 </li>
 <li>
 End of service gratuity
 </li>
 <li>
 Annual air travel allowance for expatriates
 </li>
 <li>
 Corporate Programs including Employee Referral Program with rewards
 </li>
 <li>
 Learning and development opportunities including in-house training and coaching, professional certifications, and courses
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Nature of Work and Working Hours
 
 
 
 The usual working hours for full-time roles at EPAM in Saudi Arabia are from 9:00 AM to 6:00 PM, including a one-hour unpaid lunch break. Working hours may vary based on client requirements and flexibility is accommodated whenever possible.
 
 
 
 Our Locations in Saudi Arabia
 
 
 
 
 Riyadh
 
 - Moon Tower, Mezzanine Floor, King Fahed Branch Road, AR Rahmaniyah, Riyadh, Saudi Arabia
 
 
 
 Al Khobar
 
 - 21st Floor, Khobar Gate Tower, Al Bandariyah District, King Fahd Road, Al Khobar, Saudi Arabia
 
 
 
 How to Apply, Recruitment Process and Deadline
 
 
 
 If you meet the requirements and are eager to join EPAM, simply submit your application online by clicking on "apply&rdquo; and providing your up to date CV and/or LinkedIn profile and other optional materials live cover letters and portfolios.
 
 
 Once applied, you will have a conversation with our Talent Acquisition team, followed by a technical interview and an interview with the hiring manager; a client interview may also be included in some cases. If successful, you'll receive an offer and, upon acceptance, officially become part of our team. We look forward to welcoming you aboard!
 
 
 Join EPAM today and contribute to shaping the future of technology while growing your career in a supportive, global work environment.
 
 
 &nbsp;
 
 
 
 Why Join EPAM:
 
 
 
 &bull; Become part of a global community of experts spanning over 55 countries in a welcoming and inclusive work environment
 
 
 &bull; Experience flexible work options - from home, on-site or in a hybrid model based on role and/or project requirements
 
 
 &bull; Enjoy a tailored career progression path at EPAM, recognized as the Fastest-Growing IT Services Company in Fortune 100
 
 
 &bull; Benefit from consistent learning and development opportunities including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more
 
 
 &bull; Explore a wide network of innovative and diverse projects across various markets and verticals
 
 
 &bull; EPAM was recognized by Glassdoor&rsquo;s as a top 100 Best Places to Work 2023 &amp; 2024
 
 
 &nbsp;
 
</div>

Python AI Engineer

<div>
 
 Please submit your CV in English and indicate your level of English proficiency.
 
 
 
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves:
 
 
 We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.
 
 
 You'll create challenging tasks and evaluation criteria within realistic simulated environments:
 
 
 <ul>
 <li>
 Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history
 </li>
 <li>
 Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent
 </li>
 <li>
 Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient
 </li>
 <li>
 Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust
 
 
 </li>
 </ul>
 
 What this is NOT:
 
 
 
 <ul>
 <li>
 Not data labeling
 </li>
 <li>
 Not prompt engineering
 </li>
 <li>
 Not writing code from scratch - the agent writes most of the code; you guide and evaluate
 
 
 </li>
 </ul>
 
 What we look for:
 
 
 
 <ul>
 <li>
 8+ years in software development
 </li>
 <li>
 Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis
 </li>
 <li>
 Experience writing tests (functional, integration)
 </li>
 <li>
 English proficiency - B2+
 
 
 </li>
 </ul>
 
 Why this is hard:
 
 
 
 Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.
 
 
 
 How It Works
 
 
 
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paidEffort estimate
 
 
 Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
 
 
 
 Compensation:
 
 
 
 Up to
 
 $200/hr equivalent
 
 , depending on level and pace. Tasks are estimated at :30 hours each; you set your own schedule.
</div>

Senior Python Engineer - AI Coding Agent Evaluation (Freelance)

Amgen

<div><div>United States - Remote
<div>JOB ID: R-250804 LOCATION: United States - Remote WORK LOCATION TYPE: Remote DATE POSTED: Jul. 29, 2026 CATEGORY: Information Systems SALARY RANGE: 129,654.75USD -175,415.25 USD
</div></div><div><div>Join Amgen&rsquo;s Mission of Serving Patients
At Amgen, if you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. Our shared mission&mdash;to serve patients living with serious illnesses&mdash;drives all that we do.
Since 1980, we&rsquo;ve helped pioneer the world of biotech in our fight against the world&rsquo;s toughest diseases. With our focus on four therapeutic areas &ndash;Oncology, Inflammation, General Medicine, and Rare Disease&ndash; we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you&rsquo;ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you&rsquo;ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Machine Learning Engineer
What you will do
Let&rsquo;s do this. Let&rsquo;s change the world. In this vital role, you will contribute to the development of scalable machine learning platforms and workflows that enable scientists and researchers across Amgen to build, deploy, and manage AI/ML models. You will work closely with experienced engineers, data scientists, and domain experts to productionize machine learning solutions primarily in support of drug discovery and development.
This is an ideal role for engineers early in their ML engineering careers who want to grow their expertise in MLOps, cloud platforms, and applied AI in life sciences.
This role will be eligible for remote in the US.
Roles &amp; Responsibilities:<ul><li>
Deliver AI and ML-enabled applications, with deployed models ranging from classical ML models to natural language processing, protein language models, and large language models.</li><li>
Contribute to the development and maintenance of ML platform capabilities, including:<ul><li>
Data pipelines and feature engineering workflows</li><li>
Model training, evaluation, and deployment pipelines</li><li>
Experiment tracking and model registry systems</li><li>
Model performance evaluations and monitoring</li></ul></li><li>
Partner in implementation of AI and ML Ops best practices, including CI/CD, infra as code, monitoring, traceability and reproducibility.</li><li>
Collaborate with cross-functional teams to transition standards and outcomes from experimentation to production-grade enterprise solutions.</li><li>
Build and maintain scalable and efficient, productionized MLOps solutions on cloud platforms.</li><li>
Develop and deliver training content and knowledge articles to educate resident scientists on model lifecycle management best practices.</li></ul>
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The professional we seek is an individual with these qualifications.
Basic Qualifications:
Master&rsquo;s degree
OR
Bachelor&rsquo;s degree and 2 years of experience in Computer Science, IT, or engineering field
OR
Associate&rsquo;s degree and 6 years in Computer Science, IT, or engineering field
OR
High school diploma / GED and 8 years in Computer Science, IT, or engineering field
Required Skills:<ul><li>
Software programming (Python, version control, test-driven development).</li><li>
Familiarity with cloud technologies (AWS preferred, Databricks).</li><li>
Hands-on experience with AI/ML model training and serving.</li></ul>
Preferred Qualifications:<ul><li>
Experience with deployment and maintenance of AI/ML models in production.</li><li>
Substantial experience with cloud technologies and platforms, such as Databricks, AWS (preferred), or Azure.</li><li>
Experience with AI and MLOps frameworks and tools (MLflow, Kubeflow, Weights &amp; Biases, Terraform, etc.).</li><li>
Experience with containerization (Docker, Kubernetes).</li><li>
Familiarity with distributed data processing (e.g., Spark).</li><li>
Familiarity with data science libraries (scikit-learn, TensorFlow, PyTorch, LangChain).</li></ul>
Soft Skills:<ul><li>
Excellent critical-thinking and problem-solving skills.</li><li>
Strong communication and collaboration skills.</li><li>
Demonstrated presentation skills.</li><li>
Self-motivated, with independent ownership and leadership skills.</li></ul>
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we&rsquo;ll support your journey every step of the way.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:<ul><li>
A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts</li><li>
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan</li><li>
Stock-based long-term incentives</li><li>
Award-winning time-off plans</li><li>
Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies</li></ul>
 and make a lasting impact with the Amgen team.
careers.amgen.com
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Application deadline
Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.
Sponsorship
Sponsorship for this role is not guaranteed.
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</div></div></div>

Machine Learning Engineer

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 
</li>
<li>1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 
</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience developing accessible technologies.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
 
 
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field - we publish regularly in academic journals, release projects as open source, and apply research to Google products.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Write product or system development code.</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.</li>
<li>Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer, AI/ML, Google Research

VeeRteq Solutions Inc.

<div>Role:Azure Data / Search Engineer (Databricks / ElasticSearch / Python)
Experience: - Min8+ Years
Location: - Irving, TX (Hybrid 3 days Work from Office)
Looking for a strong Azure Data Engineer / Senior Software Engineer with strong expertise in Python, Databricks, SQL, Elasticsearch, Kafka, and Azure, responsible for building scalable search platforms, REST APIs, event-driven data pipelines, and cloud-native distributed systems supporting high-volume enterprise applications.
Roles and Responsibilities: -
Resource will be responsible to design, build, and support client, our enterprise search and intelligent matching platform.
This role will develop scalable APIs, high-performance search capabilities, event-driven data pipelines, and cloud-native services supporting millions of transactions daily.
The consultant will work across Azure, Elasticsearch, Kafka, Databricks, Python, and distributed systems to build highly available, low-latency applications.
The ideal candidate has strong backend engineering experience with cloud-native architectures, search technologies, REST APIs, event streaming, and large-scale data processing.
Design and develop scalable backend services using Python. Build and maintain REST APIs supporting enterprise applications. Design and optimize Elasticsearch indexes, queries, mappings, and search relevance.
Develop intelligent search and matching capabilities for large-scale datasets. Build event-driven architectures using Kafka and Azure Event Hub. Design high-throughput data ingestion and indexing pipelines. Integrate applications with Databricks and enterprise data platforms.
Develop secure cloud-native applications on Microsoft Azure. Implement CI/CD pipelines and automated deployment processes.
Monitor application health, logging, observability, and production performance. Optimize API response time, indexing performance, and infrastructure utilization. Participate in architecture, design reviews, code reviews, and production support.
Collaborate with product managers, architects, data scientists, and engineering teams.
Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Skills: -
Mandatory skills
Programming Python (required) SQL REST APIs JSON FastAPI (preferred) Async Python Cloud Microsoft Azure Azure App Services Azure Linux VMs Azure Container Apps / AKS (preferred) Azure Managed Identity Azure Key Vault Azure Storage Azure Monitor Azure Event Hub Search
Technologies Elasticsearch Query DSL Relevance tuning Mapping design Aggregations Multi-search (msearch) Bulk indexing Search optimization Index lifecycle management Event Streaming Apache Kafka Confluent Cloud Producers / Consumers Kafka Connect Schema Registry
Event-driven architecture Data Engineering Databricks PySpark Delta Lake Data ingestion pipelines ETL/ELT DevOps Git Azure DevOps Azure Pipelines CI/CD Docker Infrastructure as Code (Terraform or Pulumi preferred) Databases PostgreSQL SQL Server Relational Databases Required
ExperienceMin 8+ years of software engineering experience. Strong Python backend development experience. Experience designing and operating production REST APIs.
Strong experience with Elasticsearch in production environments. Experience building scalable search platforms. Experience with Kafka or enterprise event-streaming platforms. Experience deploying applications on Microsoft Azure. Experience with CI/CD pipelines and automated deployments.
Experience troubleshooting production systems and performance issues. Strong understanding of distributed systems and microservices.
Preferred Qualifications:
Experience with AI-assisted search or intelligent matching platforms. Experience with Databricks and Delta Lake.
Experience with machine learning integration. Experience with semantic search or vector search.
Experience with Azure OpenAI or LLM integration. Healthcare or supply chain experience. Experience using GitHub Copilot or Codex.
VeeRteq Solutions is an Equal Opportunity Employer</div>

Azure Data / Search Engineer

Search 1695+ Python engineer jobs near you this August. New roles added regularly across leading industries. Apply today.

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