senior stack engineer

MITRE

<div>Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges&mdash;and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&amp;D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day&mdash;working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us.<p></p><p>
The Strategic Technology &amp; Economic Foresight Department (N921) within MITRE&rsquo;s National Intelligence Division delivers advanced analytic and technical capabilities in direct support of the Office of the Director of National Intelligence (ODNI). N921 integrates emerging technology expertise, economic security analysis, mission engineering, and prototype development to help ODNI anticipate strategic disruption, evaluate enterprise risk, and modernize Intelligence Community capabilities.</p><p></p><p>
Our work spans secure prototype development, mission-focused application engineering, technology evaluation, and cross-IC integration. We operate at the intersection of policy, technology, and operations, enabling national-level decision-makers to understand emerging threats and deploy scalable, secure, and mission-aligned solutions.</p><p></p><p><b>
Roles &amp; Responsibilities:</b></p><p>
MITRE is seeking a Senior Full Stack Engineer to support high-priority ODNI initiatives requiring secure, scalable, and mission-driven application development. This role requires an active TS//SCI with a Full Scope Polygraph.</p><p></p><p>
The selected candidate will serve as a technical subject matter expert responsible for designing, developing, and deploying full stack applications within highly sensitive Intelligence Community environments. This position supports enterprise-level ODNI challenges related to technology modernization, data integration, analytic enablement, and secure collaboration. Responsibilities include:</p><ul><li>
Collaborate directly with ODNI sponsors and MITRE technical teams to translate complex mission requirements into scalable application architectures.</li><li>
Design, develop, and deploy secure front-end and back-end solutions within classified environments.</li><li>
Lead or support development of enterprise-grade applications addressing cross-IC integration, data visualization, workflow automation, and analytics.</li><li>
Develop and maintain robust APIs, database schemas, and backend services supporting high-performance, secure applications.</li><li>
Ensure performance, reliability, and securityof deployed systems.</li><li>
Implement scalable architectures aligned with DevSecOps and Infrastructure-as-Code principles.</li><li>
Present technical solutions clearly to both technical and non-technical stakeholders.</li><li>
Mentor junior developers and contribute to department-wide technical standards and tradecraft.</li></ul><p></p><p>
The primary responsibilities of this position must be carried out in person in McLean, Virginia or Bethesda, Maryland. The successful candidate will establish regular presence at MITRE and ODNI locations and may be required to travel within the National Capital Region.</p><p></p><p><b>
Basic Qualifications:</b></p><ul><li>
Typically requires a minimum of 5 years of related experience with a Bachelor&rsquo;s degree; or 3 years and a Master&rsquo;s degree; or a PhD with relevant experience who can immediately contribute.</li><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related technical field.</li><li>
Active TS/SCI clearance with a Full Scope Polygraph (required at time of hire).</li><li>
U.S. Citizenship required.</li><li>
Demonstrated experience as a Full Stack Developer or similar engineering role in secure environments.</li><li>
Proficiency in front-end and back-end languages such as JavaScript, TypeScript, Python, or Go.</li><li>
Proficiency writing SQL queries and designing database schemas including ETL workflows.</li><li>
This position has an on-site requirement of 5 days a week on-site.</li></ul><p></p><p><b>
Preferred Qualifications:
</b></p><ul><li>Experience with modern JavaScript frameworks such as React, Vue, Angular and HTMx</li><li>
Experience developing web applications with different architectures including server-side rendering (SSR), single page applications (SPAs), and hybrid applications (interactive islands pattern).</li><li>
Experience with UI-first rapid prototyping and development approaches.</li><li>
Experience with CSS frameworks such as Tailwind or Material Design-based libraries.</li><li>
Experience with server-side technologies and database systems such as PostgreSQL.</li><li>
Experience working within Linux-based environments, including command line and shell scripting.</li><li>
Experience using version control systems (Git) and managing code reviews and releases.</li><li>
Experience developing applications within Intelligence Community or ODNI environments.</li><li>
Expertise in one or more front-end technologies such as HTML, CSS, JavaScript, or TypeScript.</li><li>
Expertise in one or more back-end languages such as Python, Go, or Full Stack TypeScript/JS.</li><li>
Experience with AWS-managed services and cloud-native architectures.</li><li>
Experience producing high-quality software documentation and design artifacts.</li><li>
Familiarity with alternative JavaScript runtimes such as Bun or Deno.</li><li>
Experience implementing SecDevOps pipelines in classified environments.</li><li>
Advanced degree in a relevant field.</li></ul><p></p><p><b>
This requisition requires the candidate to have a minimum of the following clearance(s):</b></p>
Top Secret/SCI/Polygraph<p></p><p><b>
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):</b></p>
Top Secret/SCI/Polygraph<p></p><p><b>
Salary compensation range and midpoint:</b></p>
$122,400 - $153,000 - $183,600 Annual<p></p><p><b>
Work Location Type:</b></p>
Onsite<p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.</p><p></p><p>
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE&rsquo;s employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply.</p><p></p><p>
Benefits information may be found here.</p><p></p>
Copyright &copy; 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.</div>

Senior Full Stack Engineer (Intelligence Center)

NVIDIA

<div><div>We are seeking a Senior Full Stack Engineer to help build and enhance content engineering tools for GeForce NOW at NVIDIA. If you're experienced with various front-end and backend technologies, are a fast learner, and have a get-things-done mentality, we'd love to hear from you!</div><div></div><div>
You will play a significant role in crafting and guiding the future of GeForce NOW content engineering tools for our Cloud Gaming Business.</div><div></div><div>
What you will be doing:</div><ul><li><div>
Collaborate with a world-class team to design software platforms for content engineering tools at NVIDIA.</div></li><li><div>
Work closely with our Product and Design teams to define feature specifications and build the next generation of content engineering tools.</div></li><li><div>
Design and develop high-performance, complex, and responsive full-stack applications.</div></li><li><div>
Engineer brand-new UX using JavaScript/TypeScript/HTML5, CSS; with a strong emphasis on React and similar frameworks.</div></li><li><div>
Architect and implement scalable backend services and RESTful APIs using Python and Java.</div></li><li><div>
Optimize applications for maximum performance, reliability, and scalability across the entire stack.</div></li><li><div>
Mentor engineers and review code and designs in a senior role.</div></li></ul><div></div><div>
What we need to see:</div><ul><li><div>
B.S. (or equivalent experience) in Computer Science with 10 years of industry experience, or M.S. with 8 years of experience.</div></li><li><div>
Experience in full-stack application development using web/cloud services.</div></li><li><div>
Proficiency in React, JavaScript/TypeScript, and backend development with Python and Java.</div></li><li><div>
Demonstrable passion for building world-class applications with excellent user experiences and improving usability.</div></li><li><div>
Proven ability and desire to lead from the front.</div></li><li><div>
Technical leadership to establish standard processes in the team and help bring in changes to improve product offerings.</div></li><li><div>
Innovation is highly regarded in the organization; the ability to think above and beyond and help build innovative solutions.</div></li><li><div>
Good social skills and experience addressing and handling the expectations of both technical and non-technical partners.</div></li></ul><div></div><div>
Ways to stand out from the crowd:</div><ul><li><div>
Deep interest and proven experience in Artificial Intelligence and Machine Learning to drive tool automation and intelligence.</div></li><li><div>
PC Gamer with a passion for designing solutions for the gaming community.</div></li></ul><div></div><div>
If you are enthusiastic about gaming and excited about building tools that enhance the GeForce NOW experience for content engineering, we encourage you to apply!</div><div></div><div>
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.</div><div></div>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.<div></div><div><div><div><div><div><div><div><div>
You will also be eligible for equity and <div>benefits</div>.</div></div></div></div></div></div></div></div><div></div>
Applications for this job will be accepted at least until February 27, 2026.<div></div><div>
This posting is for an existing vacancy.</div><div>
NVIDIA uses AI tools in its recruiting processes.</div><div></div>
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><div></div>

Senior Full Stack Engineer, Content Engineering Tools - GeForce NOW

Direct Mortgage, Corp.

<p>About the Role</p><p>We are acquiring and digitally transforming <b>FSBO.com</b> into the most advanced For Sale By Owner portal in the United States &mdash; powered by Bevri.ai&rsquo;s modern real estate and mortgage technology stack.</p><p>This is not a maintenance role.<br/>This is a rebuild.</p><p>We are replacing a legacy stack with a modern, scalable, AI-enabled platform that integrates:</p><ul><li>IDX data feeds</li><li>Real estate listing workflows</li><li>Mortgage pre-qualification and pricing</li><li>Lead capture and CRM</li><li>Compliance-aware transaction flows</li><li>AI-assisted seller and buyer workflows</li></ul><p>We are looking for a <b>Senior Full Stack Engineer</b> with deep <b>real estate + mortgage + IDX domain knowledge</b> who can architect and build enterprise-grade systems.</p><p>What You&rsquo;ll Build</p><p>You will help:</p><ul><li>Re-platform FSBO.com into a modern SaaS architecture</li><li>Integrate IDX feeds (MLS data pipelines, RETS / RESO Web API)</li><li>Build listing ingestion, normalization, and search systems</li><li>Implement advanced lead routing and conversion workflows</li><li>Integrate mortgage pre-qual, pricing engine, and lock workflows</li><li>Design scalable APIs for real estate and lending data</li><li>Implement AI-assisted seller dashboards</li><li>Build high-performance listing search and filtering</li><li>Modernize UX while preserving proven conversion flows</li></ul><p>Required Domain Experience (Non-Negotiable)</p><p>You MUST have experience in at least 2 of the following:</p><ul><li>IDX integrations (RETS, RESO Web API)</li><li>MLS data normalization and listing compliance rules</li><li>Real estate portal development (search, filters, map search)</li><li>Mortgage origination systems (LOS integrations)</li><li>Pricing engines / PPE integrations</li><li>Fannie Mae / Freddie Mac workflow familiarity</li><li>Loan application workflows (1003 / URLA familiarity is a plus)</li><li>Lead routing and CRM systems for real estate or mortgage</li></ul><p>If you have never worked with IDX or mortgage systems, this is not the right fit.</p><p>Technical Stack (Current / Target)</p><p>We are modernizing to:</p><p>Frontend:</p><ul><li>React (Next.js App Router preferred)</li><li>TypeScript</li><li>Tailwind / modern component systems</li><li>Real-time UI state management</li></ul><p>Backend:</p><ul><li>Node.js / Express or modern API frameworks</li><li>PostgreSQL (multi-tenant architecture)</li><li>Event-driven architecture preferred</li><li>API-first design</li></ul><p>Infrastructure:</p><ul><li>Docker</li><li>NGINX</li><li>Cloud deployment (GCP / AWS / Azure)</li><li>CI/CD pipelines</li></ul><p>Bonus:</p><ul><li>Experience with AI integrations (LLM workflows)</li><li>Multi-tenant SaaS architecture</li><li>High-traffic consumer portals</li><li>Data pipeline engineering</li></ul><p>What Makes You Ideal</p><ul><li>You think in systems, not pages</li><li>You understand MLS compliance constraints</li><li>You know why IDX caching matters</li><li>You understand real estate lead conversion math</li><li>You&rsquo;ve built production APIs used by thousands</li><li>You care about performance and SEO</li><li>You can move fast without creating tech debt</li><li>You&rsquo;ve worked in regulated environments</li></ul><p>What We Are Building</p><p>Our vision:</p><p>FSBO.com becomes:</p><ul><li>The most powerful seller-controlled listing platform</li><li>Direct-to-buyer engagement</li><li>Embedded mortgage pre-approval</li><li>AI-assisted listing optimization</li><li>Modern transaction workflow</li><li>Data-first analytics</li></ul><p>All powered by Bevri.ai infrastructure.</p><p>Compensation</p><ul><li>Competitive salary</li><li>Performance bonus</li><li>Equity participation potential</li><li>Long-term leadership opportunity</li></ul><p>This role can grow into:</p><ul><li>Lead Architect</li><li>VP of Engineering</li><li>Product Engineering Partner</li></ul><p>How to Apply</p><p>Send:</p><ul><li>Resume</li><li>GitHub or portfolio</li><li>Description of a real estate or mortgage system you built</li><li>Brief explanation of your IDX or MLS experience</li></ul><p>Applications without real estate or mortgage domain experience will not be considered.</p><p>Job Type: Full-time</p><p>Pay: $104,406.58 - $125,736.96 per year</p><p>Benefits:</p><ul><li>Dental insurance</li><li>Health insurance</li><li>Vision insurance</li></ul><p>Experience:</p><ul><li>Real Estate Tech / Mortgage Domain: 3 years (Preferred)</li></ul><p>Work Location: Remote</p>

Senior Full Stack Engineer - Real Estate / Mortgage Domain Requirement

Rapid Labs

<p><b>Senior Full Stack Machine Learning Engineer</b></p><p><b>About Rapid Labs</b></p><p>Rapid Labs is a US based AI startup focused on building production ready, practical machine learning systems that solve real operational problems. We partner with businesses to design and deploy AI solutions that deliver measurable outcomes, not experiments or hype driven prototypes.</p><p>Our culture values ownership, engineering excellence, and clear thinking. We work in fast moving, ambiguous environments where strong fundamentals and real world execution matter more than buzzwords.</p><p><b>About the Role</b></p><p>We are hiring a Senior Full Stack Machine Learning Engineer to own the design, development, and operation of production grade machine learning systems. This role is centered on applied and classical machine learning, not LLM only or prompt driven workflows.</p><p>You will work close to the problem space, translating messy operational and business challenges into reliable ML systems that run in production. This is a hands on role for engineers who enjoy building, deploying, and improving real systems in the cloud and taking responsibility for outcomes.</p><p><b>What You Will Do</b></p><p><b>Build and Own End to End ML Systems</b></p><ul><li>Own the full machine learning lifecycle from raw data to deployed, monitored, and continuously improving models</li><li>Design predictive, prescriptive, and optimization solutions for use cases such as manufacturing operations, predictive maintenance, quality analytics, and supply chain efficiency</li><li>Apply classical ML and statistical methods including time series forecasting, anomaly detection, regression, classification, clustering, probabilistic modeling, and optimization</li></ul><p><b>Engineer Strong Data and Feature Pipelines</b></p><ul><li>Build reliable ETL and ELT pipelines for batch and near real time ML workloads</li><li>Perform exploratory data analysis to understand data quality, distributions, bias, and signal</li><li>Design feature pipelines and feature stores that keep training and inference consistent</li><li>Integrate data from APIs, databases, and event streams with strong validation, schema control, and observability</li></ul><p><b>Ship and Operate Production ML</b></p><ul><li>Deploy models as scalable services using APIs, batch jobs, or streaming inference</li><li>Implement monitoring for model performance, drift, data quality, and system health</li><li>Work closely with platform and software teams to deliver secure, reliable, and cost efficient systems</li><li>Help define and enforce MLOps standards including CI CD, versioning, reproducibility, and rollback strategies</li></ul><p><b>Lead Technically and Collaborate Effectively</b></p><ul><li>Turn ambiguous business problems into clear ML problem statements, success metrics, and delivery plans</li><li>Make sound technical decisions on model selection, evaluation methods, and trade offs</li><li>Communicate results, risks, and limitations clearly to stakeholders using dashboards, visualizations, and documentation</li><li>Mentor junior engineers and raise the bar for ML engineering practices at Rapid Labs</li></ul><p><b>What We Are Looking For</b></p><p><b>Must Have</b></p><ul><li>Seven or more years of experience across machine learning engineering, data engineering, and production systems</li><li>At least five years of hands on experience delivering end to end machine learning solutions in production</li><li>Strong depth in classical machine learning and applied statistics beyond generative AI focused work</li><li>Solid understanding of evaluation techniques, validation strategies, bias variance trade offs, and failure modes</li><li>Advanced Python skills for production ML including clean code, testing, packaging, and performance tuning</li><li>Strong SQL skills and experience designing data models for analytics and ML</li><li>Three or more years of cloud experience with GCP preferred and AWS acceptable</li><li>Hands on experience with BigQuery, Cloud Storage, Dataflow or Apache Beam, Airflow or Cloud Composer, and containerized deployments using Docker and Kubernetes or managed equivalents</li><li>Experience operationalizing ML using tools such as MLflow, CI CD pipelines, workflow orchestration, and monitoring systems</li><li>Proven ability to monitor, debug, and improve models after deployment including drift detection and retraining</li><li>Strong problem solving skills with the ability to translate business needs into ML outcomes</li><li>Clear and confident communication skills with both technical and non-technical stakeholders</li><li>Experience working with cross functional teams including engineering, operations, and product</li></ul><p><b>Nice to Have</b></p><ul><li>Experience in manufacturing, industrial systems, or supply chain domains</li><li>Ownership of a technical roadmap or AI product lifecycle from planning to delivery</li><li>GCP or AI and ML related professional certifications</li><li>Background in consulting or client facing roles</li><li>Some exposure to GenAI or LLMs is welcome when combined with strong classical ML fundamentals, with LLMs used as supporting components rather than the core focus</li></ul><p><b>Salary &amp; Benefits</b></p><ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul><p><b>Location: </b></p><p><b>Lahore Office, Islamabad Office, or Remote (Flexible)</b></p><p>This role offers flexibility in how you work. Candidates may choose to join our <b>Lahore office</b>, work from our <b>Islamabad office</b>, or operate <b>fully remote</b>, depending on what works best for them.</p><p><b>Office Hours: 05:00 PM to 02:00 AM (Monday to Friday) </b></p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is the duration of your notice period in days?</li><li>Do you have 7+ years of experience as a Senior Full Stack Machine Learning Engineer?</li></ul><p>Experience:</p><ul><li>Senior Full Stack Machine Learning Engineer: 7 years (Preferred)</li></ul><p>Language:</p><ul><li>English fluently (Preferred)</li></ul><p>Work Location: In person</p>

Senior Full Stack Machine Learning Engineer

<p><b>Senior Full Stack Machine Learning Engineer</b></p><p><b>About Rapid Labs</b></p><p>Rapid Labs is a US based AI startup focused on building production ready, practical machine learning systems that solve real operational problems. We partner with businesses to design and deploy AI solutions that deliver measurable outcomes, not experiments or hype driven prototypes.</p><p>Our culture values ownership, engineering excellence, and clear thinking. We work in fast moving, ambiguous environments where strong fundamentals and real world execution matter more than buzzwords.</p><p><b>About the Role</b></p><p>We are hiring a Senior Full Stack Machine Learning Engineer to own the design, development, and operation of production grade machine learning systems. This role is centered on applied and classical machine learning, not LLM only or prompt driven workflows.</p><p>You will work close to the problem space, translating messy operational and business challenges into reliable ML systems that run in production. This is a hands on role for engineers who enjoy building, deploying, and improving real systems in the cloud and taking responsibility for outcomes.</p><p><b>What You Will Do</b></p><p><b>Build and Own End to End ML Systems</b></p><ul><li>Own the full machine learning lifecycle from raw data to deployed, monitored, and continuously improving models</li><li>Design predictive, prescriptive, and optimization solutions for use cases such as manufacturing operations, predictive maintenance, quality analytics, and supply chain efficiency</li><li>Apply classical ML and statistical methods including time series forecasting, anomaly detection, regression, classification, clustering, probabilistic modeling, and optimization</li></ul><p><b>Engineer Strong Data and Feature Pipelines</b></p><ul><li>Build reliable ETL and ELT pipelines for batch and near real time ML workloads</li><li>Perform exploratory data analysis to understand data quality, distributions, bias, and signal</li><li>Design feature pipelines and feature stores that keep training and inference consistent</li><li>Integrate data from APIs, databases, and event streams with strong validation, schema control, and observability</li></ul><p><b>Ship and Operate Production ML</b></p><ul><li>Deploy models as scalable services using APIs, batch jobs, or streaming inference</li><li>Implement monitoring for model performance, drift, data quality, and system health</li><li>Work closely with platform and software teams to deliver secure, reliable, and cost efficient systems</li><li>Help define and enforce MLOps standards including CI CD, versioning, reproducibility, and rollback strategies</li></ul><p><b>Lead Technically and Collaborate Effectively</b></p><ul><li>Turn ambiguous business problems into clear ML problem statements, success metrics, and delivery plans</li><li>Make sound technical decisions on model selection, evaluation methods, and trade offs</li><li>Communicate results, risks, and limitations clearly to stakeholders using dashboards, visualizations, and documentation</li><li>Mentor junior engineers and raise the bar for ML engineering practices at Rapid Labs</li></ul><p><b>What We Are Looking For</b></p><p><b>Must Have</b></p><ul><li>Seven or more years of experience across machine learning engineering, data engineering, and production systems</li><li>At least five years of hands on experience delivering end to end machine learning solutions in production</li><li>Strong depth in classical machine learning and applied statistics beyond generative AI focused work</li><li>Solid understanding of evaluation techniques, validation strategies, bias variance trade offs, and failure modes</li><li>Advanced Python skills for production ML including clean code, testing, packaging, and performance tuning</li><li>Strong SQL skills and experience designing data models for analytics and ML</li><li>Three or more years of cloud experience with GCP preferred and AWS acceptable</li><li>Hands on experience with BigQuery, Cloud Storage, Dataflow or Apache Beam, Airflow or Cloud Composer, and containerized deployments using Docker and Kubernetes or managed equivalents</li><li>Experience operationalizing ML using tools such as MLflow, CI CD pipelines, workflow orchestration, and monitoring systems</li><li>Proven ability to monitor, debug, and improve models after deployment including drift detection and retraining</li><li>Strong problem solving skills with the ability to translate business needs into ML outcomes</li><li>Clear and confident communication skills with both technical and non-technical stakeholders</li><li>Experience working with cross functional teams including engineering, operations, and product</li></ul><p><b>Nice to Have</b></p><ul><li>Experience in manufacturing, industrial systems, or supply chain domains</li><li>Ownership of a technical roadmap or AI product lifecycle from planning to delivery</li><li>GCP or AI and ML related professional certifications</li><li>Background in consulting or client facing roles</li><li>Some exposure to GenAI or LLMs is welcome when combined with strong classical ML fundamentals, with LLMs used as supporting components rather than the core focus</li></ul><p><b>Salary &amp; Benefits</b></p><ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul><p><b>Location: </b></p><p><b>Lahore Office, Islamabad Office, or Remote (Flexible)</b></p><p>This role offers flexibility in how you work. Candidates may choose to join our <b>Lahore office</b>, work from our <b>Islamabad office</b>, or operate <b>fully remote</b>, depending on what works best for them.</p><p><b>Office Hours: 05:00 PM to 02:00 AM (Monday to Friday) </b></p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is the duration of your notice period in days?</li><li>Do you have 7+ years of experience as a Senior Full Stack Machine Learning Engineer?</li></ul><p>Experience:</p><ul><li>Senior Full Stack Machine Learning Engineer: 7 years (Preferred)</li></ul><p>Language:</p><ul><li>English fluently (Preferred)</li></ul><p>Work Location: Remote</p>

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7247 senior stack engineer jobs NEAR_ME

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Senior Full Stack Machine Learning Engineer

Senior Full Stack Machine Learning Engineer

Senior Full Stack Machine Learning Engineer