principal machine learning engineer

Atlassian

<div>Overview:

As a Principal Machine Learning Engineer, you will drive the development and implementation of cutting-edge machine learning algorithms, training sophisticated models, and collaborating with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks &mdash; designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers. Your role is pivotal, ensuring AI's transformative potential is realized across our offerings.
Responsibilities:

Technical Leadership &amp; Execution<ul><li>
Drive complex decisions that impact the work of teams and change their technical direction over multiple quarters</li><li>
Regularly tackle the largest and most complex problems on the team, from technical design to launch</li><li>
Set the direction of systems and capabilities, balancing progress over perfection</li><li>
Determine plans-of-attack on large projects and solve complex architecture challenges</li></ul>
Model Development &amp; Experimentation<ul><li>
Design, develop, and deploy production-grade ML models (e.g., ranking, retrieval, LLM-based systems) to optimize user experience and achieve business objectives</li><li>
Conduct meticulous experimentation and model evaluations, backing decisions with data</li><li>
Develop robust feature engineering practices to ingest, process, and serve features for offline training and online inference at scale</li><li>
Oversee end-to-end deployment of ML solutions into production, ensuring continuous evaluation, monitoring, and improvement</li></ul>
Cross-Functional Collaboration<ul><li>
Collaborate closely with product managers, designers, and engineering teams to integrate AI/ML capabilities into products</li><li>
Partner across engineering teams to take on company-wide programs spanning multiple projects</li><li>
Communicate complex technical concepts clearly to both technical and non-technical stakeholders</li></ul>
Mentorship &amp; Organizational Impact<ul><li>
Mentor and guide junior and senior engineers, fostering a culture of innovation, collaboration, and continuous learning</li><li>
Actively share knowledge and expertise through mentoring and coaching beyond direct reports</li><li>
Contribute to programs of work that scale across the department</li><li>
Identify, solve, and bridge gaps/problems across teams using experience and expertise</li></ul>
Decision Making &amp; Direction<ul><li>
Quickly collate and analyze key decision parameters, balancing speed, risk, and impact appropriately</li><li>
Limit ambiguity and risk by experimenting and prototyping</li><li>
Understand how contributions of multiple capabilities fit into larger products and platforms</li></ul>
Compensation:

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges:

In The United States or Remote, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $209,700 - $273,775

Zone B: $188,730 - $246,398

Zone C: $174,051 - $227,233
Qualifications:

Benefits &amp; Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.</div>

Principal Machine Learning Engineer

Volga Partners

<div>Location 
Islamabad, Pakistan 
House #571, Street #35, E-11/3, Islamabad
Employment Type 
Full-time
Work Setup: Hybrid
 
3 days in office 
2 days remote
Compensation 
PKR 600,000 &ndash; 850,000 per month 
(Compensation will be determined based on experience, software and AI background, technical expertise, AI product experience, and overall alignment with the role). 
About Volga Partners
Volga Partners is a global technology and AI solutions company focused on building innovative products, platforms, and intelligent systems that solve real-world business challenges. Our teams work across AI, software development, automation, data operations, and enterprise technology solutions supporting clients and products on a global scale.
We are building the next generation of AI-powered products and platform experiences and are seeking a Principal Software &amp; AI Engineer who thrives in fast-paced environments, enjoys solving complex problems, and can connect customer needs, business goals, and technology into a clear product vision.
About the Role
We are seeking a highly experienced Senior Software &amp; AI Engineer to join our growing engineering team. The ideal candidate will possess extensive experience in full-stack software development, system architecture, cloud technologies, artificial intelligence, and modern software engineering practices.
This role requires a hands-on technical leader capable of designing, developing, and deploying scalable enterprise applications while leveraging AI technologies to build innovative solutions. The candidate should be comfortable working across multiple programming languages, frameworks, and cloud environments.
Key Responsibilities<ul><li>
Design, architect, and develop scalable enterprise-grade software applications.</li><li>
Lead the development of AI-powered products and features utilizing modern AI/ML technologies.</li><li>
Build and maintain high-performance backend services, APIs, and distributed systems.</li><li>
Develop modern web applications and user interfaces using current frontend frameworks.</li><li>
Design database architectures and optimize application performance.</li><li>
Integrate third-party services, APIs, payment gateways, and cloud-based solutions.</li><li>
Collaborate with product managers, designers, and stakeholders to define technical requirements.</li><li>
Implement security best practices and ensure compliance with industry standards.</li><li>
Mentor junior and mid-level engineers and conduct technical reviews.</li><li>
Drive architectural decisions and establish engineering best practices.</li><li>
Participate in Agile development processes and technical planning.</li></ul> 
Required Qualifications
Experience<ul><li>
Minimum 8 years of professional Software/AI engineering experience.</li><li>
Proven experience delivering large-scale production applications.</li><li>
Strong experience working with international teams and remote environments.</li><li>
Experience leading technical projects and mentoring engineering teams.</li></ul>
Programming Languages
Candidates should have strong experience with most of the following technologies:<ul><li>
JavaScript</li><li>
TypeScript</li><li>
Python</li><li>
Java</li><li>
C#</li><li>
Go (Golang)</li><li>
PHP</li><li>
C++</li><li>
Rust</li><li>
SQL</li></ul>
Frontend Technologies<ul><li>
React.js</li><li>
Next.js</li><li>
Angular</li><li>
Vue.js</li><li>
HTML5</li><li>
CSS3</li><li>
Tailwind CSS</li><li>
Redux</li></ul>
Backend Technologies<ul><li>
Node.js</li><li>
Express.js</li><li>
NestJS</li><li>
Django</li><li>
FastAPI</li><li>
ASP.NET Core</li><li>
Spring Boot</li><li>
GraphQL</li><li>
REST APIs</li><li>
Microservices Architecture</li></ul>
Artificial Intelligence &amp; Machine Learning<ul><li>
OpenAI API</li><li>
Large Language Models (LLMs)</li><li>
Prompt Engineering</li><li>
AI Agent Development</li><li>
Retrieval-Augmented Generation (RAG)</li><li>
Vector Databases</li><li>
LangChain / LlamaIndex</li><li>
Machine Learning Fundamentals</li><li>
AI Workflow Automation</li></ul>
Databases<ul><li>
PostgreSQL</li><li>
MySQL</li><li>
MongoDB</li><li>
Redis</li><li>
SQL Server</li></ul>
Cloud &amp; DevOps<ul><li>
AWS</li><li>
Azure</li><li>
Google Cloud Platform (GCP)</li><li>
Docker</li><li>
Kubernetes</li><li>
CI/CD Pipelines</li><li>
GitHub Actions</li><li>
Terraform</li><li>
Linux Administration</li></ul>
Security &amp; Architecture<ul><li>
OAuth</li><li>
JWT Authentication</li><li>
RBAC</li><li>
Secure Coding Practices</li><li>
Distributed Systems</li><li>
Event-Driven Architecture</li><li>
System Design</li><li>
Performance Optimization</li></ul> 
Preferred Qualifications<ul><li>
Experience building SaaS products.</li><li>
Experience working with healthcare, fintech, or enterprise applications.</li><li>
Knowledge of data engineering and analytics platforms.</li><li>
Experience with AI-powered automation systems.</li><li>
Experience with real-time communication systems and WebSockets.</li><li>
Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.</li></ul> 
Compensation &amp; Benefits<ul><li>
Monthly compensation ranging from PKR 600,000 &ndash; PKR 850,000</li><li>
90-day probationary period.</li><li>
Eligible for company-sponsored medical insurance upon successful completion of probation.</li><li>
Eligible for holiday pay for designated company-observed holidays after 90 days of employment, subject to company policy.</li><li>
Eligible for Paid Time Off (PTO) in accordance with the company's service-based accrual model and eligibility requirements.</li><li>
Opportunity for career growth, product ownership, and direct impact on company strategy.</li></ul> 
Application Process
Qualified candidates are encouraged to submit their updated resume along with details of relevant projects, technical expertise, and availability.
Only shortlisted candidates will be contacted for interviews.</div>

Principal Software & AI Engineer - Pakistan

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
We are hiring a Principal Software Engineer &mdash; a deeply hands-on technical leader who thrives on solving complex problems, writing production code, and elevating the engineers around them.
You will serve as the senior engineering voice across a portfolio of mission-critical clinical decision-support applications. These systems combine low-latency distributed architectures with advanced LLM, OCR, and ML pipelines running on Google Cloud.
This is not an &ldquo;architect-from-the-sidelines&rdquo; role. You will actively design systems, write critical code, ship to production, support live environments, and mentor engineers across UI, backend, and ML. Success in this role is measured by the quality, performance, reliability, and clinical impact of what you deliver&mdash;not by presentations.<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2><ul><li>
Own architecture and execution 
Lead the technical direction of a real-time, multi-service clinical platform on GCP, while personally building the most critical and performance-sensitive components.</li><li>
Build production-grade LLM systems 
Design and operate scalable LLM pipelines (e.g., Claude, Gemini, GPT-4-class) including prompt engineering, structured outputs, evaluation frameworks, retrieval/vector search, OCR-based document understanding, grounding, guardrails, and hallucination mitigation.</li><li>
Deliver real-time, high-performance systems 
Architect distributed, event-driven, streaming services that support sub-second clinician experiences under heavy load, with strict SLOs and strong fault tolerance.</li><li>
Operationalize machine learning 
Lead deployment and lifecycle management of models on Vertex AI, including feature pipelines, model registries, drift detection, A/B and shadow testing, and CI/CD-integrated quality controls.</li><li>
Design for scalability and change 
Build flexible APIs, microservices, and data contracts that support rapid iteration, backed by strong testing, observability, and progressive delivery practices.</li><li>
Raise the engineering bar 
Drive high-quality code reviews, establish standards across testing, CI/CD, security, and observability, and mentor engineers across full-stack and ML disciplines.</li><li>
Own outcomes end-to-end 
Translate ambiguous clinical and business needs into delivered solutions, monitor real-world performance, and continuously iterate based on data.</li><li>
Partner across disciplines 
Collaborate with Data Science, Product, Clinical SMEs, AI Governance, and Security teams to ensure solutions meet enterprise standards for compliance, privacy, and safety.</li></ul><h2 class="jobSectionHeader">
Required Qualifications:</h2><ul><li>
10+ years of software engineering experience with a strong record of delivering production systems at scale</li><li>
5+ years as a hands-on Staff or Principal-level engineer (actively coding, not removed from implementation)</li><li>
Expert proficiency in Python including performance tuning, concurrency, and system optimization</li><li>
5+ years building real-time distributed systems (event-driven, streaming, Pub-Sub) with clear latency and reliability requirements</li><li>
5+ years working in a major public cloud (GCP preferred: Vertex AI, GKE, Cloud Run, Pub/Sub, BigQuery, IAM, etc.)</li><li>
Deep experience with microservices architecture, API design (REST), and resilient systems (retries, backpressure, tracing)</li><li>
3+ years building and operating production ML systems (MLOps, monitoring, retraining, deployment pipelines)</li><li>
3+ years developing LLM-powered applications in production, including prompt design, RAG/vector search, evaluation frameworks, and performance optimization</li><li>
Experience building modern UI components with React or Angular</li><li>
Strong computer science fundamentals, including distributed systems, algorithms, and concurrency</li></ul> 
Preferred Qualifications<ul><li>
Experience operating LLM systems in regulated environments (PII/PHI, governance, security, auditability)</li><li>
Familiarity with vector databases (e.g., Vertex Vector Search, Pinecone, Weaviate, pgvector) and advanced retrieval techniques</li><li>
Experience designing evaluation frameworks for LLM systems (gold datasets, regression testing, LLM-as-judge)</li><li>
Strong background in CI/CD, SRE practices, and SLO-driven engineering</li><li>
Experience with healthcare data standards (FHIR, HL7) and compliance frameworks (HIPAA, HITRUST)</li><li>
Strong communication skills, with the ability to explain complex systems to both technical and non-technical audiences</li><li>
Proven track record of mentoring engineers into senior and staff roles</li></ul>
Education:<ul><li>
Bachelor&rsquo;s degree in Computer Science or a related field (or equivalent experience)</li><li>
Master&rsquo;s or PhD in Computer Science, Machine Learning, or a related discipline is a plus</li></ul>
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. 
Additional details about available benefits are provided during the application process and on Benefits Moments. 
We anticipate the application window for this opening will close on: 10/02/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Principal Software Engineer

Envision Employment Solutions

<div>Envision Employment Solutions is currently looking for a Senior Data Scientist - AI &amp; ML Engineer for one of our partners, a global leader in consulting, digital transformation, technology and engineering services!
About:
The Senior Data Scientist - AI &amp; ML Engineer will be responsible for delivering end-to-end machine learning solutions, designing scalable AI architectures, and developing Agentic AI applications that drive intelligent automation and business value.
Responsibilities:
AI &amp; Machine Learning Development<ul><li>
Design, develop, and deploy AI and machine learning solutions that address business needs.
</li><li>Build and implement Agentic AI applications using modern AI frameworks.
</li><li>Lead the full machine learning lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
</li><li>Optimize models to improve accuracy, scalability, and performance in production environments.
</li><li>Implement model monitoring, drift detection, and retraining strategies.
</li></ul>Data Engineering &amp; MLOps<ul><li>
Design scalable data pipelines to support machine learning workloads.
</li><li>Collaborate with data engineers to ensure reliable data ingestion, transformation, and storage.
</li><li>Develop and maintain ML-focused CI/CD pipelines.
</li><li>Implement model versioning, automated testing, and deployment best practices.
</li><li>Support containerized and cloud-native ML deployments.
</li></ul>Cloud &amp; Solution Architecture<ul><li>
Design AI and ML solutions using cloud platforms such as Azure, AWS, or GCP.
</li><li>Architect scalable infrastructure to support enterprise AI applications.
</li><li>Recommend technology solutions aligned with business and technical requirements.
</li><li>Ensure AI solutions meet security, reliability, and performance standards.
</li></ul>Collaboration &amp; Leadership<ul><li>
Partner with business stakeholders to understand objectives and translate them into technical solutions.
</li><li>Collaborate with cross-functional teams throughout the solution lifecycle.
</li><li>Mentor junior data scientists and ML engineers.
</li><li>Promote best practices in machine learning, software engineering, and MLOps.
</li><li>Stay informed about emerging AI technologies and industry trends.</li></ul> 

Requirements 
<ul><li>
6-10 years of experience working with complex datasets and solving real-world business problems using AI</li><li>
Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.</li><li>
Strong proficiency in Python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).</li><li>
Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).</li><li>
Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.</li><li>
Skilled in MLOps practices including CI/CD, containerization (e.g. Docker), and orchestration (Kubernetes).</li><li>
Strong command of Git and collaborative development workflows.</li><li>
Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.</li><li>
Fluent in Arabic &amp; English, both spoken and written (German is a plus!)</li><li>
Able to listen to and understand customer needs and articulate them as technical requirements to the team.</li><li>
Strong problem-solving abilities and attention to detail.</li><li>
Strategic thinking with the ability to align data science initiatives with business objectives.</li><li>
Strong leadership and team management skills with the ability to inspire and motivate.</li><li>
Ability to work collaboratively in a team environment.</li><li>
Self-motivated with a strong growth mindset.</li></ul></div>

Senior Data Scientist - AI & ML Engineer

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