senior ai engineer

Finaira

<div><p>The Senior AI Engineer is a senior individual contributor with deep expertise in a specific domain of AI/ML, responsible for tackling the most complex technical challenges, driving architectural decisions for critical AI components, and setting technical standards. This role requires a blend of advanced research understanding and robust engineering skills to bring cutting-edge AI innovations into production.</p><p><b>
The difference you will make</b></p><ul><li>
Act as a subject matter expert in one or more specialized AI/ML domains (e.g., Generative AI, Explainable AI, Large Language Models, Reinforcement Learning, Real-time Anomaly Detection).
</li><li>Lead the design and implementation of highly scalable, fault-tolerant, and high-performance AI systems and infrastructure.
</li><li>Evaluate and integrate new AI/ML research, algorithms, and technologies into product development.
</li><li>Drive continuous improvement in MLOps, model monitoring, and model governance frameworks.
</li><li>Provide expert technical guidance and mentorship to other AI Engineer 1s and Associates.
</li><li>Conduct complex performance tuning, optimization, and debugging of AI/ML models and pipelines.
</li><li>Participate in strategic planning for AI initiatives, identifying opportunities for technological advancement.
</li><li>Influence technical direction and architecture discussions within the AI/ML team and across engineering.
</li><li>Lead code reviews for critical components, ensuring architectural integrity, performance, and maintainability.</li></ul><br>
<b>
Requirements</b><p><b><br>
Education:
</b></p><ul><li>Bachelor&rsquo;s degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.
</li></ul><p><b>Experience:
</b></p><ul><li>5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production.
</li><li>Demonstrated deep expertise in a specific AI sub-field.</li></ul><p></p><p><b>
Technical Skills:
</b></p><ul><li>Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
</li><li>Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray).
</li><li>Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments.
</li><li>Strong architectural design skills for complex data pipelines and scalable AI inference systems.
</li><li>Proficiency in system design, distributed systems, and performance optimization.
</li><li>Ability to critically evaluate and apply academic research to real-world problems.</li></ul><p></p><p><b>
Soft Skills:
</b></p><ul><li>Strong ownership and accountability for assigned work.
</li><li>Clear and professional verbal and written communication.
</li><li>Effective time management and task prioritization. o Analytical thinking and problem-solving skills.
</li><li>Ability to work independently, collaborate effectively and mentor junior team members.
</li><li>Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
</li><li>Adaptability and learning agility in a fast-paced environment.
</li><li>Strong attention to detail and a commitment to quality.
</li><li>Receptiveness to feedback and continuous improvement mindset</li></ul><p></p><p>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</p></div>

Senior AI Engineer

Blue Cross and Blue Shield of Minnesota

<div><b>About Blue Cross and Blue Shield of Minnesota</b><br>
<br>
At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. We are looking for dedicated and motivated individuals who share our vision of transforming healthcare. As a Blue Cross associate, you are joining a culture that is built on values of succeeding together, finding a better way, and doing the right thing. If you are ready to make a difference, join us.<div><div><p><b><br>
The Impact You Will Have</b></p></div><p></p><div><p><br>
Blue Cross Blue Shield of Minnesota is hiring a Senior AI Engineer to help design, deploy, and operationalize AI and machine learning solutions that improve data science productivity and reduce operational overhead. In this role, you will work hands on with data scientists, analytics teams, and business partners to translate models and analytical workflows into reliable, scalable, production ready systems.</p></div><p></p><div><p><br>
You will focus on automating data pipelines and AI/ML workflows, strengthening cloud based deployment patterns, and improving the efficiency, reliability, and quality of AI solutions in production. You will bring strong execution, collaboration, and technical depth to your work while operating within established architectural standards and partnering closely with senior technical leaders.</p></div><p></p><div><p><br>
The ideal candidate is a hands-on Senior level AI Engineer with experience building, deploying, and supporting ML models in production environments. You bring 3+ years of hands on experience with generative AI, large language models, NLP, or related technologies, along with strong proficiency in Python or similar languages and modern ML frameworks such as PyTorch or TensorFlow. You have experience deploying AI solutions in cloud environments such as AWS, Azure, or GCP using established MLOps, CI/CD, containerization, and monitoring practices. You approach AI systems with a strong focus on reliability, scalability, and integration with existing platforms while adhering to security, governance, and quality standards. Strong communication skills, cross functional collaboration, and an interest in mentoring or supporting other engineers are important, with experience in regulated environments such as healthcare preferred.</p></div><p></p><div><p><b>
Your Responsibilities</b></p></div><div><ul><li><p>
Deploy artificial intelligence (AI) and machine learning (ML) models in production, working with data scientists and other stakeholders in the organization.</p></li></ul></div><div><ul><li><p>
Work with a team of data scientists and AI engineers to ensure seamless AI development, integration and deployment in production.</p></li></ul></div><div><ul><li><p>
Collaborate with cross-functional teams to understand the analytical and ML needs and provide technical solutions.</p></li></ul></div><div><ul><li><p>
Mentor and help junior data scientists to train and run models in cloud environment like AWS and Azure and automation of data science processes.</p></li></ul></div><div><ul><li><p>
Develop and maintain unit tests, integration tests, and end-to-end tests for APIs and ML models.</p></li></ul></div><div><ul><li><p>
Evaluate, implement emerging tools and cloud services for analytics data engineering to improve productivity of the team.</p></li></ul></div><div><ul><li><p>
Work with a multidisciplinary team to build high quality data pipelines that will be used by data scientists and business analysts to generate insights</p></li></ul></div><p></p><div><p><b>
Required Skills and Experience</b></p></div><div><ul><li><p>
5+ years of related professional experience. All relevant experience including work, education, transferable skills, and military experience will be considered.</p></li></ul></div><div><ul><li><p>
3+ years of experience as a data engineer or similar role. Experience with ML engineering or data science, data analytics, software engineering.</p></li></ul></div><div><ul><li><p>
Proficient programming skills in languages like Python, Scala, etc.</p></li></ul></div><div><ul><li><p>
Proficient experience with Machine Learning model deployment in production.</p></li></ul></div></div><div><div><ul><li><p>
Proficient experience with cloud platforms like AWS, Azure, etc.</p></li></ul></div><div><ul><li><p>
Proficiency in data pipeline orchestration tools such as Apache Airflow, Docker, Kubernetes, etc.</p></li></ul></div><div><ul><li><p>
Proficient experience with SQL and cloud databases like Redshift, Athena, AWS services like Glue, etc.</p></li></ul></div><div><ul><li><p>
Proficient experience implementing, testing, and fielding automation for AI and ML solutions.</p></li></ul></div><div><ul><li><p>
Excellent communication, collaboration, and presentation skills.</p></li></ul></div><div><ul><li><p>
High school diploma (or equivalency) and legal authorization to work in the U.S.</p></li></ul></div><p></p><div><p><b><br>
Preferred Skills and Experience</b></p></div><div><ul><li><p>
Bachelor's or master&rsquo;s degree in computer science, data Science, or a related field.</p></li></ul></div><div><ul><li><p>
Experience with developing and deploying Large Language Models, Retrieval Augmented Generation (RAG), Generative AI technologies.</p></li></ul></div><div><ul><li><p>
Experience with ML frameworks, including Keras, Pandas, TensorFlow, Pytorch, etc.</p></li></ul></div><div><ul><li><p>
Proficient experience using AWS technologies for Machine Learning &ndash; SageMaker, S3, etc.</p></li></ul></div><div><ul><li><p>
Experience with software engineering concepts, including version control and unit testing.</p></li></ul></div><div><ul><li><p>
Experience using visualization tools such as PowerBI, Tableau, Looker, etc.</p></li></ul></div><div><ul><li><p>
Certification in relevant technologies.</p></li></ul></div></div><br>
<p></p>
<p><b>
Compensation and Benefits:</b></p>
<p><b>
Pay Range:</b> $117,800.00 - $159,000.00 - $200,200.00 Annual</p>
<p>Pay is based on several factors which vary based on position, including skills, ability, and knowledge the selected individual is bringing to the specific job.</p>
<p>We offer a comprehensive benefits package which may include:</p>
<ul><li>Medical, dental, and vision insurance</li>
<li>Life insurance</li>
<li>401k</li>
<li>Paid Time Off (PTO)</li>
<li>Volunteer Paid Time Off (VPTO)</li>
<li>And more</li>
</ul><p>To discover more about what we have to offer, please review our benefits page.</p><p><b>
Role Designation</b></p><p>
Remote</p><p><b>
Teleworker</b></p><p>
Role designation definition: Teleworking is working full time remote. Hybrid is a minimum of 2 days onsite. Onsite is full-time onsite.</p><b>
Equal Employment Opportunity Statement</b><br>
<br>
At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. Blue Cross of Minnesota is an Equal Opportunity Employer and maintains an Affirmative Action plan, as required by Minnesota law applicable to state contractors. All qualified applications will receive consideration for employment without regard to, and will not be discriminated against based on any legally protected characteristic.<br>
<br>
Individuals with a disability who need a reasonable accommodation in order to apply, please contact us at: talent.acquisition@bluecrossmn.com.<br>
<br>
Blue Cross&reg; and Blue Shield&reg; of Minnesota and Blue Plus&reg; are nonprofit independent licensees of the Blue Cross and Blue Shield Association.</div>

Revecore

<div><p><b>Senior AI Engineer</b>
</p><div>Start your next chapter at Revecore! For over 25 years, Revecore has been at the forefront of specialized claims management, helping healthcare providers recover meaningful revenue to enhance quality patient care in their communities. We're powered by people, driven by technology, and dedicated to our clients and employees. If you're looking for a collaborative and diverse culture with a great work/life balance, look no further.
</div><div></div><div><b>Revecore</b><b> Perks:</b>
</div><ul><li>We offer paid training and incentive plans
</li></ul><ul><li>Our medical, dental, vision, and life insurance benefits are available from the first day of employment
</li></ul><ul><li>We enjoy excellent work/life balance
</li></ul><ul><li>Our Employee Resource Groups build community and foster a culture of belonging and inclusion
</li></ul><ul><li>We match 401(k) contributions
</li></ul><ul><li>We offer career growth opportunities
</li></ul><ul><li>We celebrate 12 paid holidays and generous paid time off
</li></ul><div><b>Location: </b>Remote-USA
</div><p></p><p><b>Role Overview</b> We are seeking a Senior AI Engineer to join our Core AI Agentic Development Team. The primary objective of this role is to design, develop, and deploy robust, multi-agent systems that assist healthcare providers in optimizing their revenue lifecycle and managing accounts receivable (AR). As a senior contributor, you will architect complex agent orchestration workflows, ensuring our agents can securely and effectively interact with existing enterprise systems to drive operational efficiency.
</p><p></p><p><b>Responsibilities:</b>
</p><ul><li>Design and implement multi-agent AI systems using frameworks such as LangChain, AutoGen, or CrewAI to automate complex healthcare revenue cycle workflows.
</li></ul><ul><li>Develop and maintain agent orchestration pipelines where agents collaborate, delegate tasks, and synthesize outputs to drive end-to-end process automation.
</li></ul><ul><li>Integrate AI agents with enterprise systems via APIs and RPA-style interfaces (UI/DOM/vision-based interactions) to execute real-world operational tasks.
</li></ul><ul><li>Build and enforce guardrails, validation layers, and compliance checks to ensure safe, deterministic, and auditable behavior of LLM-driven systems.
</li></ul><ul><li>Architect and deploy supervisor (&ldquo;oracle&rdquo;) agents to route tasks, validate sub-agent outputs, and maintain system-wide state and accuracy.
</li></ul><ul><li>Implement logging, tracing, and monitoring frameworks to track agent performance, debug multi-agent interactions, and ensure production reliability.
</li></ul><ul><li>Collaborate cross-functionally with product, engineering, and domain experts to translate healthcare revenue cycle requirements into scalable AI-driven solutions.
</li></ul><p></p><p><b>Required Experience and Skills</b> Candidates must possess advanced proficiency in Python, our primary development language, along with a strong background in software engineering best practices. A proven track record of developing and deploying autonomous AI agents and Large Language Model (LLM) applications in production environments is essential. We expect deep, hands-on experience with agent orchestration frameworks such as crew.ai, LangChain, or AutoGen.
</p><p></p><p>Direct experience and expertise are required in the following core areas:
</p><ul><li><b>Agent Orchestration &amp; Execution:</b> Designing complex, multi-step agentic workflows where agents collaborate, delegate, and synthesize information to complete high-value tasks.
</li></ul><ul><li><b>System Driving &amp; Tool Use:</b> Building agents capable of driving existing software systems. This includes API integration, as well as experience with <b>computer use</b> (e.g., RPA-like UI interaction via vision/DOM parsing) and <b>voice AI</b> agents for outbound/inbound communication.
</li></ul><ul><li><b>Guardrails &amp; Safety:</b> Developing and implementing strict guardrails to ensure deterministic, safe, and compliant behavior from non-deterministic LLMs.
</li></ul><ul><li><b>Oracle Agents:</b> Designing and deploying &quot;oracle&quot; or supervisor agents responsible for routing tasks, verifying the outputs of sub-agents, and maintaining overall system state and truth.
</li></ul><ul><li><b>Agent Governance:</b> Implementing logging, tracing, and monitoring specific to agentic behavior to ensure accountability and debug complex multi-agent interactions in production.
</li></ul><p></p><p><b>Preferred Qualifications</b> Previous experience working within the healthcare revenue lifecycle domain is highly desirable. Candidates who understand the nuances of healthcare billing, accounts receivable, and revenue cycle management will have a distinct advantage, as this domain knowledge directly translates to more effective agent design and problem-solving.
</p><p></p><div><b>Work at Home Requirements:</b>
</div><ul><li>A quiet, distraction-free environment to work from in your home.
</li></ul><ul><li>A secure internet connection is required.
</li></ul><ul><li>Home internet with speeds &gt;20 Mbps for downloads and &gt;10 Mbps for uploads.
</li></ul><ul><li>The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive.
</li></ul><div></div><div>Revecore is an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status.
<br>
<br>
We believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply.
</div><div></div><div>Must reside in the United States within one of the states listed below:
</div><div>Alabama, Arkansas, Delaware, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Maryland, Michigan, Minnesota, Missouri, Mississippi, Montana, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin, and West Virginia</div></div><p></p>

H2O.ai

<div><p>Founded in 2012, H2O.ai is on a mission to democratize AI. As the world&rsquo;s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI&mdash;secure, compliant, and infrastructure-flexible deployments&mdash;H2O.ai delivers solutions that align with the highest standards of data privacy and control.<br>
<br>
Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&amp;T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH.<br>
<br>
H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst &amp; Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai&rsquo;s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.<br>
<br>
H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.<br>
<br>
For more information, visit www.h2o.ai.</p><p><b>
About This Opportunity</b></p><p>
We are looking for a Senior AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one.</p><p>
You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes.<br>
<br>
This position is based in Charlotte, NC</p><p><b>
What You Will Do</b></p><p><i>
Agentic AI &amp; LLM Engineering</i></p><ul><li>
Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step workflows for enterprise customers.</li><li>
Develop and deploy LLM-powered applications using techniques including RAG, fine-tuning, prompt engineering, function calling, and tool use.</li><li>
Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety.</li><li>
Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best of it into customer engagements.</li></ul><p><i>
End-to-End AI Application Development</i></p><ul><li>
Own the full development lifecycle: from problem framing and data exploration through model development, API integration, and production deployment.</li><li>
Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows.</li><li>
Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale.</li><li>
Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production.</li></ul><p><i>
Customer Engagement &amp; Delivery</i></p><ul><li>
Work directly with customer data scientists, engineers, and business stakeholders to translate real-world problems into AI solutions.</li><li>
Contribute to pre-sales and proof-of-concept engagements - building fast, credible demonstrations that win technical trust.</li><li>
Communicate clearly across audiences: from detailed technical design reviews with engineering teams to outcome-focused updates for business stakeholders.</li><li>
Collaborate closely with Program Managers, Solution Engineers, and Kaggle Grandmasters to deliver cohesive, high-quality solutions.</li></ul><p><b>
What We Are Looking For</b></p><p><i>
Experience &amp; Background</i></p><ul><li>
3+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment.</li><li>
Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar.</li><li>
Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent).</li><li>
Experience deploying models and AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes).</li></ul><p><i>
Skills &amp; Capabilities</i></p><ul><li>
Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps.</li><li>
Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM.</li><li>
Backend development skills: REST APIs, containerization (Docker/Kubernetes), and CI/CD pipelines for AI applications.</li><li>
Strong problem-solving instincts - comfortable with ambiguity, able to move fast without sacrificing engineering quality.</li><li>
Clear communicator who can explain complex AI systems to non-technical stakeholders without oversimplifying.</li></ul><p><b>
How to Stand Out From the Crowd</b></p><ul><li>
Kaggle or competitive ML experience.</li><li>
Familiarity with H2O.ai products, Wave, or H2O Document AI.</li><li>
Experience in financial services, healthcare, or other regulated industry AI deployments.</li><li>
Exposure to tabular foundation models, AutoML, or enterprise ML platforms.</li><li>
Prior experience in a customer-facing or field engineering role.</li></ul><p><b>
Why H2O.ai?</b></p><ul><li>
Market leader in total rewards</li><li>
Remote-friendly culture</li><li>
Flexible working environment</li><li>
Be part of a world-class team</li><li>
Career growth</li></ul><p>
H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.</p><p>
H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We&rsquo;ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.</p><p>
H2O.ai employs the world&rsquo;s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company&rsquo;s purpose.</p><p>
Please visit www.H2O.ai to learn more.</p>
#LI-Hybrid<br>
<p>
</p><p>z4Ve6c4obX</p></div>

Menarini

<div>Overview:
<p><b>
Senior AI Engineer</b></p><p><b>
Reports to Global Head of Information Technology, Oncology</b></p><p></p><p><b><br>
Opportunity</b></p><p></p><p><br>
Menarini Stemline is seeking a highly motivated and experienced Senior AI/ML Engineer, who will be the technical powerhouse translating our Enterprise Business Architect&rsquo;s strategic roadmap into production-ready intelligence. You won&rsquo;t just be building chatbots; you will be engineering <b>Agentic Workflows</b> and <b>leveraging 3rd party models</b> that accelerate drug development, optimize clinical protocols, and automate complex regulatory filings.</p><p>
You will sit at the intersection of <b>Data Science, Software Engineering, and Biotech value chain</b>, turning massive datasets into actionable therapeutic insights.</p><p>
The successful candidate will be a key contributor in shaping our AI/ML strategy, evaluating and implementing solutions, and demonstrating the value of data-driven decision-making. This role requires a blend of deep technical expertise, strategic thinking, and the ability to collaborate effectively with cross-functional teams.</p>
Responsibilities:
<ul><li><b>Strategic Development:</b> Collaborate with the Menarini Stemline IT leadership team to define and execute the company's AI/ML roadmap. Identify and prioritize high-impact use cases across various business functions, including clinical development, commercialization and enabling functions.</li><li><b>
End-to-End AI Development:</b> Design, develop, and deploy machine learning models (LLMs, Diffusion Models, GNNs) specifically tailored for biotech use cases.</li><li><b>
Agentic Workflow Engineering:</b> Build &quot;AI Agents&quot; capable of navigating complex R&amp;D tasks&mdash;such as searching historic clinical study data libraries or cross-referencing clinical trial data&mdash;to support scientific decision-making.</li><li><b>
MLOps &amp; Pipeline Scalability:</b> Build and maintain robust MLOps pipelines to ensure models are reproducible, versioned, and scalable across our high-performance computing (HPC) environment.</li><li><b>
Architectural Collaboration:</b> Partner with the <b>Principal Business Architect</b> to ensure AI solutions align with the enterprise &quot;Target State&quot; and integrate seamlessly with existing CTMS and ERP systems. Cross-Functional Collaboration: Partner with stakeholders from R&amp;D, Clinical Operations, Regulatory Affairs, and other departments to understand their needs and translate them into AI/data science questions and solutions. Serve as a subject matter expert on AI/ML, providing guidance and training to colleagues.</li><li><b>
Data Engineering for Science:</b> Work with bioinformaticians to curate &quot;AI-ready&quot; datasets from unstructured lab notes, &quot;Omics&quot; data, and Real-World Evidence (RWE).Work closely with IT and data engineering teams to ensure the availability and quality of data required for AI/ML initiatives. Contribute to the development of our data infrastructure and best practices for data governance and management.</li><li><b>
Solution Evaluation and Implementation:</b> Lead the technical evaluation of both internal and external AI/ML solutions. Design, build, and deploy scalable and robust machine learning models on our GCP/Databricks platform. Assess and integrate vendor-provided AI/ML technologies, ensuring they meet our scientific and business requirements.</li><li><b>
Compliance &amp; Validation:</b> Ensure all AI deployments meet stringent <b>GxP</b> requirements and maintain high standards for model explainability and &quot;Human-in-the-loop&quot; safety.</li><li>
Innovation and Research: Stay abreast of the latest advancements in machine learning, artificial intelligence, and data science. Champion a culture of innovation by exploring novel approaches and technologies that can be applied to our business challenges.</li><li>
</li></ul>
Qualifications:
<div>
Education: Master's or Ph.D. in a quantitative field such as Computer Science, Data Science, or a related discipline.</div><div></div><div><br>
Experience: 8 years with 3-5 years of hands-on experience in data science and machine learning, with a proven track record of developing and deploying AI/ML models in a corporate environment.</div><div></div><div><br>
Technical Skills:</div><ul><li>
Expert proficiency in programming languages such as Python or R.</li><li>
Extensive experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch).</li><li>
Strong knowledge of SQL and experience working with relational and non-relational databases.</li><li><b>
Generative AI Expertise:</b> Hands-on experience with <b>RAG (Retrieval-Augmented Generation)</b>, fine-tuning LLMs, and working with vector databases
</li><li>Hands-on experience with cloud computing platforms, preferably Google Cloud platform, Microsoft Azure and Databricks.</li><li>
Solid understanding of software engineering best practices, including version control (Git), testing, and CI/CD.</li></ul><div>
Soft Skills:</div><ul><li>
Excellent problem-solving and analytical skills.</li><li>
Strong communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical audiences.</li><li>
Demonstrated ability to work independently and as part of a collaborative team.</li><li>
A strategic mindset and the ability to think creatively and drive innovation.</li></ul><p><b><i>
Please note: this position is classified as a corporate office position. In accordance with the New York employer convenience rule, Stemline will withhold New York state income taxes for all corporate office employees, regardless of whether these employees work in New York or remotely.</i></b></p><p><br>
</p><p>Base Salary Range of $225,000 - $280,000. Menarini Stemline offers generous compensation and benefits packages, including Short- and Long-Term Incentive Programs, Fidelity 401(k) (with company match), Anthem Premier PPO and HDHP insurance plans, Company paid Basic Life &amp; AD&amp;D insurance and pre-tax FSA/HSA programs.
</p><p>Menarini Stemline is committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</p><p></p><p><i><br>
Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.</i></p><p></p><p><b><br>
The Company</b></p><p></p><p><br>
Founded in 1886 in Naples under the name of Farmacia Internazionale, Menarini moved in 1915 to Florence where the Group&rsquo;s headquarters are still located today. High quality therapeutics and diagnostics solutions for patients, ethics as our underlying principle, dedication to innovation and advancement, strong people centricity and environmental sustainability. These five pillars form the foundation of the Menarini Group, an Italian pharmaceutical company with nearly 135 years of history.</p><p><br>
</p><p>The Menarini Group is present in 70 countries and our products are sold in 140 locations around the world. Its companies span from Europe to Asia, to Africa and the Middle East, to Central America and to the United States where with the acquisition of Stemline Therapeutics, a NASDAQ-listed biopharmaceutical company, the company marked its entry into the US oncology market.</p><p></p><p><br>
Thanks to the valuable contribution of around 18,000 employees, every year more than 500 million packs of drugs are produced at the Group's 18 manufacturing sites including a biotech plant for the manufacturing of monoclonal antibodies that also serves external clients distributed across 6 continents.</p><p></p><p><br>
Menarini has made a strong commitment to oncology, investing in a pipeline of five investigational compounds for the treatment of a variety of haematological and solid tumours. The acquisition of Stemline Therapeutics in June 2020, further strengthened Menarini&rsquo;s oncology portfolio, adding both commercial and clinical-stage assets. Tagraxofusp is a novel, first in class targeted therapy for patients with blastic plasmacytoid dendritic cell neoplasm (BPDCN) and to date, the only approved treatment for BPDCN in the U.S. and EU, and the first and only approved CD123-targeted therapy. Tagraxofusp is also being evaluated as both a single agent and in combination, in other CD123+ indications, including acute myeloid leukaemia (AML), chronic myelomonocytic leukaemia (CMML), and myelofibrosis (MF).</p><p><br>
</p><p>Additionally, Menarini received exclusive rights to commercialise Selinexor for the treatment of oncology indications in the European Union and other European countries (including the United Kingdom), Latin America and other key countries. Menarini has signed an exclusive licensing agreement with Karyopharm Therapeutics for the rights to commercialise an innovative therapeutic option in Europe, Latin America, Turkey, Russia, and CIS countries. Selinexor is a first-in-class, oral Selective Inhibitor of Nuclear export compound for the treatment of hematologic cancers and solid tumours. It is already marketed in the US for multiple myeloma and is under development for solid tumour indications. Selinexor is registered in the EU for both early and late lines.</p><p></p><p><br>
Menarini entered into a global licence agreement with Radius Health to complete the development of Elacestrant, an oral SERD in late-stage Phase 3 development for hormone receptor-positive advanced breast cancer. Following a successful phase 3 study, Menarini Stemline received FDA approval in January 2023 under priority review and successfully oversaw a strong launch in February to the US market with the EMA review process concluded positively in September 2023.</p><p><br>
</p><p>It is an exciting time in the company&rsquo;s development and an excellent opportunity for individuals joining us to contribute to building and shaping Menarini Stemline&rsquo;s Oncology business.</p></div>

DeepSource Technologies

<div><p>We are looking for a highly capable Senior AI Engineer / MLOps Engineer to join our team and lead the design, development, deployment, and optimization of scalable, production-grade AI and machine learning solutions. The ideal candidate will have strong hands-on experience across AI engineering, machine learning, MLOps, cloud-native architecture, and data engineering, with the ability to transform experimentation into reliable, business-ready systems.</p><p></p><p>
This role requires deep expertise in LLMs, RAG, agentic AI workflows, CI/CD automation, production ML lifecycle management, and modern data platforms. The selected candidate will be expected to lead end-to-end AI initiatives, work across multiple projects, collaborate with technical and business stakeholders, and ensure operational excellence across AI platforms.</p><p></p><p>
Key Responsibilities</p><ul><li>Design, develop, deploy, and maintain production-grade AI and machine learning systems end to end.</li><li>Build and optimize LLM-powered applications, including RAG pipelines, prompt workflows, agent-based systems, and multimodal AI use cases.</li><li>Develop intelligent workflows using tool-calling, orchestration frameworks, and contextual reasoning patterns.</li><li>Fine-tune, evaluate, and operationalize machine learning and foundation models for enterprise use cases.</li><li>Build and manage MLOps pipelines covering training, evaluation, model registration, deployment, monitoring, and retraining.</li><li>Implement CI/CD pipelines for ML and AI workflows to support automated testing, release management, and controlled deployments.</li><li>Establish model monitoring frameworks for drift detection, feature attribution, inference quality, and performance tracking.</li><li>Ensure reproducibility, reliability, and version control across AI/ML environments.</li><li>Architect scalable AI/ML platforms using modern compute, storage, orchestration, monitoring, and search services.</li><li>Build repeatable environments using Infrastructure as Code.</li><li>Support secure, high-availability, and cost-efficient deployment models across development, staging, and production environments.</li><li>Design scalable inference and serving patterns for variable workloads.</li><li>Build and maintain automated data pipelines, ETL/ELT workflows, and data processing frameworks for AI/ML consumption.</li><li>Ensure data quality, lineage, governance, and versioning to support dependable model training and inference.</li><li>Work with structured and unstructured datasets across data lakes, data warehouses, and operational systems.</li><li>Deliver analytics-ready datasets to downstream systems and applications.</li><li>Lead multiple AI initiatives in parallel, including planning, execution, and coordination with internal teams and stakeholders.</li><li>Work closely with product, engineering, data, and business teams to deliver production-ready AI capabilities.</li><li>Contribute to architecture decisions, technical documentation, best practices, and engineering standards.</li><li>Support knowledge sharing, technical leadership, and continuous improvement across the AI function.<br>
</li></ul><br>
<br>
<p></p><b>Requirements</b><ul><li><br>
Bachelor&rsquo;s degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>5+ years of hands-on experience in AI engineering, machine learning engineering, MLOps, or data/ML platform engineering.</li><li>Proven experience deploying production AI/ML solutions in enterprise environments.</li><li>Strong programming experience in Python and SQL.</li><li>Strong experience with enterprise AI/ML architecture and delivery.</li></ul></div><p></p>

Senior Ai Engineer - Riyadh,KSA

instrument

<div></div><div><div><p>Instrument is a digitally native design and technology company built to help brands unlock their full potential. Since 2005, our team of makers, thinkers, and storytellers has partnered with leading brands like Google, Nike, Uber, ŌURA, and Eventbrite to craft digital experiences that create impact and drive results.</p><p>
Unlike traditional agencies, we don&rsquo;t just design&mdash;we build. Our work lives at the intersection of taste and technology, powered by curiosity, thoughtful curation, and a commitment to delivering the most fitting solution for every brief. We bring this to life across three core offerings: Brand, Marketing, and Product.</p><p>
As a member of our freelance network, you&rsquo;ll collaborate with our teams to bring bold ideas to life&mdash;whether launching new brands, building digital products, or shaping experiences that move people. We welcome collaborators from all backgrounds and experiences who share our curiosity, creativity, and care for craft.</p><p>
We believe great work comes from diverse perspectives and shared purpose. If you&rsquo;re passionate about learning, experimenting, and making work that matters, we&rsquo;d love to hear from you.</p><p>
The Project: We are developing a highly complex, stateful, multi-agent simulation engine driven by generative AI. This is a greenfield project exploring new forms of non-linear, narrative-based user interaction at scale. Unlike typical stateless web apps, this system requires persistent &quot;memory&quot; for thousands of unique, evolving user sessions. We are building an architecture where multiple AI agents orchestrate complex logic, maintain long-term context, and react to user inputs in real-time.</p><p>
The Role: You will serve as the Sr. AI Engineer, focusing on the core intelligence and agentic logic that drives the application. You will be responsible for designing the multi-agent architecture that manages our core interactive loops, dynamic scenario generation, and global system state aggregation. You will be the team&rsquo;s primary authority on how we talk to large language models, ensuring that our agents are fast, reliable, and strictly scoped to their specific domains to minimize latency and hallucination.</p><p>
This is a part-time contract role (20 hrs/week) from 4/13&ndash;5/29, with a strong likelihood of extension through October at full-time hours.</p></div><div><div><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><ul><li><div>
<ul>
<li><p><b>Agent Design &amp; Orchestration:</b> Build and manage the logic for complex multi-agent workflows. You will design the systems that handle user onboarding (profile generation), dynamic scenario creation, and real-time interactive simulation loops.</p>
</li>
<li><p><b>Context Engineering:</b> Architect state management for the LLMs to prevent &quot;context rot&quot; and hallucination. You will strictly govern what each agent knows, structuring context dynamically to maximize token caching and minimize latency.</p>
</li>
<li><p><b>Advanced Prompting &amp; Evals Infrastructure:</b> Write, test, and version-control robust system instructions for standalone LLMs and multi-agent workflows. You will design, implement, and own a rigorous evaluations (evals) framework to programmatically score both individual prompt performance and end-to-end agent lifecycles. You will establish the CI/CD-style testing loops required to iterate on model behavior predictably and safely at scale.</p>
</li>
<li><p><b>Moderation and Security Risk Mitigation:</b> Design and implement pipelines in collaboration with our backend team that moderate harmful or offensive user inputs while also mitigating prompt injection attacks and undesired LLM outputs.</p>
</li>
<li><p><b>Full-Stack Integration:</b> Work closely with backend and frontend teams to seamlessly integrate AI outputs into the user interface, ensuring smooth data flow from the models down to the client.</p>
</li>
</ul></div></li></ul></div><div><h2 class="jobSectionHeader"><b>What You'll Bring</b></h2><ul><li><div>
<ul>
<li><p><b>Core Engineering Foundation:</b> Strong traditional programming background. You must understand software architecture and be capable of writing production-grade code. You cannot rely solely on AI coding assistants or vibe coding.</p>
</li>
<li><p><b>Generative AI Experience:</b> 1&ndash;3 years of deep, hands-on experience building and deploying LLM-backed applications in production.</p>
</li>
<li><p><b>Language Proficiency:</b> Strong proficiency in <b>Python</b>. Strong proficiency in <b>TypeScript</b> and familiarity with modern reactive frontend frameworks (preferably Angular v21).</p>
</li>
<li><p><b>Agent Frameworks:</b> Hands-on experience with modern agent harnesses (e.g., LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK, Google ADK). Strong preference for candidates with experience using ADK<i>.</i></p>
</li>
<li><p><b>Context &amp; Latency Optimization:</b> Deep understanding of how LLMs process information. You must have proven experience optimizing token usage, leveraging caching, prompt and context engineering, and designing systems that fetch only the exact context an agent needs at any given moment.</p>
</li>
<li><p><b>Risk Mitigation:</b> Hands-on experience with designing and employing guardrails for agents&rsquo; actions and outputs while also mitigating prompt injection attacks.</p><b>
</b></li>
</ul></div></li></ul></div><div><h2 class="jobSectionHeader"><b>Ideally You Are</b></h2><ul><li><div>
<ul>
<li><p><b>A Pioneer:</b> You thrive in an emerging tech landscape where best practices are still being written, and you are excited to help define them.</p>
</li>
<li><p><b>A Precision Communicator:</b> You understand that a single ambiguous word in a system prompt can derail an entire multi-agent workflow.</p>
</li>
<li><p><b>Latency-Obsessed:</b> You don't just care that the model gets the right answer; you care about how many milliseconds it took to generate it, and you actively design to reduce that overhead, especially when combined with content moderation and prompt injection mitigation strategies.</p>
</li>
</ul></div></li></ul></div><div><h2 class="jobSectionHeader"><b>Core Tech Skills</b></h2><ul><li><div>
<ul>
<li><div><b>Android</b></div><b>
</b></li>
<li><div>Augmented Reality / Virtual Reality (AR/VR)</div>
</li>
<li><div>AWS</div>
</li>
<li><div>Back-end</div>
</li>
<li><div>Creative Technologist</div>
</li>
<li><div>Database</div>
</li>
<li><div>Dev-Ops</div>
</li>
<li><div>Django</div>
</li>
<li><div>E-Commerce</div>
</li>
<li><div>Front-end</div>
</li>
<li><div>Full-stack *</div>
</li>
<li><div>GCP *</div>
</li>
<li><div>iOS</div>
</li>
<li><div>Java</div>
</li>
<li><div>Javascript *</div>
</li>
<li><div>Leader</div>
</li>
<li><div>Marketing</div>
</li>
<li><div>Media</div>
</li>
<li><div>Mobile</div>
</li>
<li><div>Node</div>
</li>
<li><div>Objective-C</div>
</li>
<li><div>Product Development</div>
</li>
<li><div>Product Manager</div>
</li>
<li><div>Prototyping *</div>
</li>
<li><div>Python *</div>
</li>
<li><div>QA</div>
</li>
<li><div>React</div>
</li>
<li><div>Swift</div>
</li>
<li><div>Systems Architecture *</div>
</li>
<li><div>Tech Producer</div>
</li>
<li><div>Typescript *</div>
</li>
<li><div>Unity</div>
</li>
<li><div>UX *</div>
</li>
<li><div>Wagtail</div>
</li>
</ul></div></li><li><div>Additional Hard Skills/Knowledge:</div></li>
<li><div>
<ul><li><div><b>Prompt Engineering</b></div><b>
</b></li>
<li><div>Context Engineering</div>
</li>
<li><div>LLM APIs</div>
</li>
<li><div>LLM Agents</div>
</li>
<li><div>Agent Orchestration Harness (e.g. OpenAI Agents SDK / Claude Agent SDK / Google ADK / LangGraph / CrewAI)</div>
</li>
<li><div>AI Evals</div>
</li>
<li><div>AI security, guardrails, and risk management</div>
</li>
</ul></div></li></ul></div><div><h2 class="jobSectionHeader"><b>Pay Range</b></h2><ul><li><div>
<ul><li>The expected pay range for this role is $61 -$78 per hour based on the US 3 pay range for a W-2 temporary engagement
</li><li>Our company has three regional pay bands that it adheres to depending on your location, we reference them as US 1, US 2, and US 3</li></ul>
<ul><li>US 3 is our base pay. Examples of cities in US 3 are Portland, Houston and Miami.</li></ul>
<ul><li>US 2 pay is 7.5% higher than US 3 to meet the market rates. Examples of cities in US 2 are Los Angeles, Chicago and Seattle</li></ul>
<ul><li>US 1 pay is 15% higher than US 3 to meet market rates. Examples of cities in US 1 are Brooklyn and San Francisco</li></ul>
<ul><li>If you are curious which region you are in, please apply and get connected with our recruiting team!</li></ul></div></li></ul></div></div></div><div></div>

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Senior Ai Engineer - Riyadh,KSA

Senior AI Engineer (Contract)