software engineer

machine learning engineer Jobs in New York United States

machine learning engineer

applied ai engineer Jobs in New York United States

applied ai engineer

data engineer Jobs in New York United States

data engineer

electrical engineer with python - freelance ai trainer Jobs in New York United States

electrical engineer with python freelance ai trainer

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 isproject-based, not permanent employment.
 
 
 
 
 What This Opportunity Involves
 
 
 
 While each project involves unique tasks, contributors may:
 
 
 <ul>
 <li>
 Design rigorous electrical engineering problems reflecting professional practice
 </li>
 <li>
 Evaluate AI solutions for correctness, assumptions, and constraints
 </li>
 <li>
 Validate calculations or simulations using Python (NumPy, Pandas, SciPy)
 </li>
 <li>
 Improve AI reasoning to align with industry-standard logic
 </li>
 <li>
 Apply structured scoring criteria to multi-step problems.
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 This opportunity is a good fit for electrical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 
 
 <ul>
 <li>
 Degree in Electrical Engineering or related fields, e.g. Electronics, Microelectronics, Embedded Systems, Power Systems, etc.
 </li>
 <li>
 3+ years of professional electrical engineering experience
 </li>
 <li>
 Strong written English (C1/C2)
 </li>
 <li>
 Strong Python proficiency for numerical validation
 </li>
 <li>
 Stable internet connection
 
 
 </li>
 </ul>
 Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience in international or applied projects are an advantage.
 
 
 
 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 10-20 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.
 
 
 
 Payment
 
 
 
 <ul>
 <li>
 Paid contributions, with rates up to $55/hour*
 </li>
 <li>
 Fixed project rate or individual rates, depending on the project
 </li>
 <li>
 Some projects include incentive payments
 </li>
 <li>
 Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project
 </li>
 </ul>
</div>

Electrical Engineer with Python - Freelance AI Trainer

NavitasPartners

<div><h1 class="jobSectionHeader">Senior Python Backend&ndash;Heavy Full Stack AI Engineer (LangGraph)</h1>

Location - New York City
<h2 class="jobSectionHeader">
Role Overview</h2>

We are seeking a Senior Python Backend&ndash;Heavy Full Stack AI Engineer with hands-on experience in LangGraph and agentic AI systems.

This role focuses on building production-grade AI agents and workflows on top of enterprise datasets and internal applications. The ideal candidate is execution-focused and capable of delivering immediate impact.

<h2 class="jobSectionHeader">Core Responsibilities</h2>
<ul>
<li>Build and deploy AI agents using LangGraph
</li>
<li>Develop backend-heavy AI systems using Python + FastAPI
</li>
<li>Implement:
<ul>
<li>RAG pipelines
</li>
<li>Text-to-SQL systems
</li>
<li>Prompt-engineered agent workflows
</li>
<li>Business data summarization tools
</li>
</ul></li><li>Integrate AI capabilities into enterprise applications
</li>
<li>Work with structured datasets (PostgreSQL)
</li>
<li>Collaborate with business stakeholders
</li>
<li>Contribute to frontend updates when required (TypeScript)
</li>
</ul><h2 class="jobSectionHeader">Required Technical Skills</h2>
<h3 class="jobSectionHeader">Backend (Primary Focus)</h3>
<ul>
<li>Strong Python proficiency
</li>
<li>FastAPI experience
</li>
<li>Strong SQL skills
</li>
<li>PostgreSQL experience
</li>
<li>API design &amp; production architecture experience
</li>
</ul><h3 class="jobSectionHeader">AI / Agentic Frameworks (Critical)</h3>
<ul>
<li>Hands-on LangGraph experience
</li>
<li>Strong understanding of:
<ul>
<li>Agent orchestration
</li>
<li>Prompt engineering
</li>
<li>RAG architectures
</li>
<li>Text-to-SQL pipelines
</li>
</ul></li><li>Experience building production-ready AI agents
</li>
</ul><h3 class="jobSectionHeader">Frontend (Secondary)</h3>
<ul>
<li>Working knowledge of TypeScript
</li>
<li>Ability to support UI changes when required</li></ul></div>

Senior Python Backend–Heavy Full Stack AI Engineer - 26-02001

James Search Group

<div>
 
 
 AI/ML Engineer
 
 
 
 
 Location:
 
 New York, NY
 
 
 
 Compensation:
 
 $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 
 
 
 Industry:
 
 Global P&amp;C Insurance
 
 
 
 
 
 
 About the role and the company.
 
 
 
 James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
 
 AI/ML Engineer
 
 to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 
 
 
 
 
 As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
 </li>
 <li>
 Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
 </li>
 <li>
 Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
 </li>
 <li>
 Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
 </li>
 <li>
 Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
 </li>
 <li>
 Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
 </li>
 <li>
 Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
 </li>
 <li>
 Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
 </li>
 <li>
 Familiarity with actuarial concepts or insurance-specific data models.
 </li>
 <li>
 Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
 </li>
 <li>
 Comfortable in a collaborative, fast-paced, and agile working environment.
 </li>
 </ul>
 
 
 
 
 This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 
 
 
 
 
 
 Apply today
 
 to help reshape the future of insurance through data and AI innovation.
 
</div>

Machine Learning Engineer

Millennium Management

<div>AI Full Stack Engineer - Equities Technology
We are building the next generation of Large Language Model applications driven by Portfolio Manager requirements that deliver immediate value and scale as a core product. We are looking for an AI Full Stack Engineer to lead this work within the Equities Technology AI group. This role will be responsible for designing, expanding, and optimizing the architecture of a strategic, evolving AI platform and its user-facing applications. The ideal candidate is an experienced engineer who enjoys building and owning high-performance, production-grade AI systems end-to-end (UI through backend) from the ground up.
Responsibilities<ul><li>
Understand and translate Portfolio Manager and business problems into robust, production-ready AI solutions.</li><li>
Design, build, test, deploy, and own LLM-based products that solve specific Portfolio Manager workflows and generalize into reusable AI capabilities.</li><li>
Design and implement agentic AI systems that perform multi-step reasoning, planning, and tool execution.</li><li>
Own the end-to-end LLM architecture and lifecycle, including prompt design, model selection, evaluation, deployment, and iteration.</li><li>
Work closely with stakeholders across business and technology organizations to optimize product design and adoption in production environments.</li><li>
Design and build user-facing web applications for AI-powered workflows, including conversational and task-driven UIs used by Portfolio Managers.</li><li>
Implement and own front-end architecture (state management, component design, performance, accessibility) and integrate it with LLM/agent services and data APIs.</li><li>
Partner with design/product to iterate quickly on UX, while maintaining production-grade engineering standards across both client and server.</li></ul>
Qualifications<ul><li>
Master&rsquo;s or Bachelor&rsquo;s degree in a technical field with 5+ years of industry experience.</li><li>
Strong full stack engineering experience across Python and modern TypeScript/JavaScript stacks, including microservices, REST APIs, and web application development.</li><li>
Hands-on experience building and operating production-grade LLM applications.</li><li>
Experience with agentic and LLM frameworks.</li><li>
Strong understanding of agentic patterns including tool use, planning, memory, and reflection.</li><li>
Experience with retrieval-augmented generation, vector databases, and semantic search systems.</li><li>
Experience developing end-to-end asynchronous applications and distributed systems.</li><li>
Experience deploying AI systems in cloud environments such as AWS or GCP.</li><li>
Strong experience building production front ends (e.g., React/Next.js or equivalent), including authentication/authorization integration and secure consumption of backend APIs.</li><li>
Strong interpersonal and communication skills with the ability to operate independently and collaboratively in a fast-paced environment.</li></ul><div></div>
Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual&rsquo;s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</div>

AI Full Stack Engineer - Equities Technology

Microsoft

<div>
 
 Overview
 
 
 
 As a Member of Technical Staff - Software Engineer &amp; Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from &ldquo;What happened?&rdquo; to &ldquo;Why did it happen?&rdquo; in minutes. You&rsquo;ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations. n developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We&rsquo;re looking for a experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
 </li>
 <li>
 Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.
 </li>
 <li>
 Develop secure, compliant workflows for handling production logs and conversation data.
 </li>
 <li>
 Enable drill-down capabilities linking quantitative metrics to qualitative evidence for actionable context.
 </li>
 <li>
 Collaborate with PMs and DS to refine hypotheses and deliver intuitive, high-performance interfaces.
 </li>
 <li>
 Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
 </li>
 <li>
 Prototype and productionize ML models for anomaly detection and predictive insights.
 </li>
 <li>
 Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
 </li>
 <li>
 Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
 </li>
 <li>
 Independently write efficient, readable, extensible code and model pipelines.
 </li>
 <li>
 Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
 </li>
 <li>
 Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
 </li>
 </ul>
 <li>
 Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
 </li>
 <li>
 Demonstrated interest in Responsible AI.
 
 </li>
 </ul>
 #MicrosoftAI
 
 
 Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
 
 
 Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
 
 
 https://careers.microsoft.com/us/en/us-corporate-pay
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Machine Learning Software Engineer

Microsoft AI

Explore 1589+ Electrical engineer with python freelance ai trainer in New York United States this March. Find roles across top companies and apply now to boost your career.

1589 electrical engineer with python freelance ai trainer jobs In New York United States

Electrical Engineer with Python - Freelance AI Trainer

Electrical Engineer with Python - Freelance AI Trainer

Senior Python Backend–Heavy Full Stack AI Engineer - 26-02001

Machine Learning Engineer

AI Full Stack Engineer - Equities Technology

Machine Learning Software Engineer

Machine Learning Software Engineer