senior ai engineer

WebDigitalSphere

We are looking for a Senior AI Engineer who is passionate about building cutting-edge AI and Machine Learning solutions. This role involves working with advanced technologies like NLP, Generative AI (GenAI), Large Language Models (LLMs), LangChain, GCP, Python, and Computer Vision to develop and deliver impactful AI-driven applications for clients across various industries.Key Responsibilities:<ul><li>Design, build, and deploy scalable AI/ML models and pipelines.</li><li>Work on NLP, GenAI, LLMs, LangChain, and Computer Vision projects.</li><li>Collaborate with data scientists, developers, and product teams to implement innovative solutions.</li><li>Optimize and fine-tune models for performance, scalability, and accuracy.</li><li>Integrate AI models into real-world applications and client systems.</li><li>Stay updated on the latest trends in AI, ML, and data science to enhance solution quality.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>4&ndash;5 years of professional experience in AI/ML development.</li><li>Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.</li><li>Hands-on experience with NLP, LLMs, LangChain, and GCP (Google Cloud Platform).</li><li>Strong understanding of data preprocessing, model training, and deployment.</li><li>Excellent communication, teamwork, and problem-solving skills.</li></ul>Why Join Us:<ul><li>Competitive USD-based salary.</li><li>Opportunity to work with global clients and next-generation AI technologies.</li><li>Collaborative, innovative, and growth-oriented environment.</li></ul>Job Type: Full-timeWork Location: In person

Senior AI Engineer

Grand Technology

Job Overview Grand Technology is seeking an experienced and passionate Senior AI Engineer to join our dynamic team in Giza, Egypt. This is a Full-Time position for a professional who is keen to work at the forefront of digital innovation. As a subsidiary of the Mohammed Saif Thabet Group, Grand Technology has established itself since 2006 as a next-generation digital solutions company. We are committed to helping our clients design for the future by providing the latest technology and regional expertise. As a Senior AI Engineer, you will play a pivotal role in developing and implementing cutting-edge AI solutions that drive our business and our clients' success forward. You will be part of a vibrant company culture where teamwork and continuous improvement are at the core of our DNA, fostering an environment where innovation thrives. Responsibilities * Lead the design, development, and deployment of sophisticated artificial intelligence and machine learning models to solve complex business challenges. * Collaborate closely with cross-functional teams, including product managers and software developers, to identify opportunities for AI integration and to define project requirements. * Mentor junior engineers, providing technical guidance and fostering a culture of knowledge sharing and professional growth. * Manage the end-to-end lifecycle of AI projects, from data acquisition and preprocessing to model training, evaluation, and deployment in production environments. * Stay abreast of the latest advancements in AI, machine learning, and deep learning, and champion the adoption of new technologies and methodologies. * Ensure the robustness, scalability, and performance of our AI systems, conducting rigorous testing and optimisation. * Communicate complex technical concepts and project outcomes effectively to both technical and non-technical stakeholders. Qualifications * A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. * Proven commercial experience in a similar role, with a strong portfolio of successfully delivered AI/ML projects. * Expert proficiency in Python and extensive experience with major AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. * A deep theoretical and practical understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and computer vision. * Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and deploying machine learning models at scale. * Exceptional analytical and problem-solving skills, with a meticulous attention to detail. * Strong leadership qualities and excellent communication skills, with the ability to work effectively within a collaborative team environment. Benefits * A competitive salary and comprehensive benefits package. * The opportunity to work on pioneering projects that shape the future of digital solutions. * A supportive and collaborative work environment that encourages innovation and creativity. * Significant opportunities for professional development and career progression within a leading technology organisation. * A role in a results-driven organisation committed to delivering excellence for its clients and partners.

Codvo.ai

<div><div><div><div><div>Job Description: Senior AI Engineer</div><div>
Company Overview:</div><div>
At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNA. Our core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we do. We continually expand our expertise in digital strategy, design, architecture, and product management to offer measurable results and outside-the-box thinking.</div><div>
About the Role:</div><div>
We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications. In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions.</div><div>
Responsibilities:</div><ul><li>
Generative AI Pipeline Development:</li><li>
Design and implement efficient and scalable pipelines for data ingestion, processing, and transformation, tailored for Generative AI workloads.</li><li>
Orchestrate the flow of data between various AI services, databases, and backend systems within the Generative AI context.</li><li>
Build and maintain CI/CD pipelines for deploying and updating Generative AI services and pipelines.</li><li>
Data and Document Ingestion:</li><li>
Develop and manage systems for ingesting diverse data sources (text, images, code, etc.) used in Generative AI applications.</li><li>
Implement OCR and other preprocessing techniques to prepare data for use in Generative AI pipelines.</li><li>
Ensure data quality, consistency, and security throughout the ingestion process.</li><li>
AI Service Integration:</li><li>
Integrate and manage external AI services (e.g., cloud-based APIs for image generation, text generation, LLMs) into our Generative AI applications.</li><li>
Develop and maintain APIs for seamless communication between AI services and backend systems.</li><li>
Monitor and optimize the performance of integrated AI services within the Generative AI pipeline.</li><li>
Retrieval Augmented Generation (RAG) Pipelines:</li><li>
Design and implement RAG pipelines to enhance Generative AI capabilities with external knowledge sources.</li><li>
Develop and optimize data retrieval and indexing strategies for RAG systems used in conjunction with Generative AI.</li><li>
Evaluate and improve the accuracy and relevance of RAG-generated responses in the context of Generative AI applications.</li><li>
Large Language Model (LLM) Integration:</li><li>
Develop and manage interactions with LLMs through APIs and SDKs within Generative AI pipelines.</li><li>
Implement prompt engineering strategies to optimize LLM performance for specific Generative AI tasks.</li><li>
Analyze and debug LLM outputs to ensure quality and consistency in Generative AI applications.</li><li>
Backend Services Ownership:</li><li>
Design, develop, and maintain backend services that support Generative AI applications.</li><li>
Ensure the scalability, reliability, and security of backend infrastructure for Generative AI workloads.</li><li>
Implement monitoring and logging systems for backend services and pipelines supporting Generative AI.</li><li>
Troubleshoot and resolve backend-related issues impacting Generative AI applications.</li></ul><div>
Required Skills and Qualifications:</div><ul><li>
Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.</li><li>
Experience:</li><li>
5+ years of experience in AI/ML development with a focus on building and deploying AI pipelines and backend systems.</li><li>
Proven experience in designing and implementing data ingestion and processing pipelines.</li><li>
Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.</li><li>
Technical Skills:</li><li>
Expertise in Python and relevant AI/ML libraries.</li><li>
Strong understanding of AI infrastructure and deployment strategies.</li><li>
Experience with data engineering and data processing techniques.</li><li>
Proficiency in software development principles and best practices.</li><li>
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).</li><li>
Experience with version control (Git).</li><li>
Experience with RESTful APIs and API development.</li><li>
Experience with vector databases and their application in AI/ML, particularly for similarity search and retrieval.</li><li>
Generative AI Specific Skills:</li><li>
Familiarity with Generative AI concepts and techniques (e.g., GANs, Diffusion Models, VAEs, LLMs).</li><li>
Experience with integrating and managing Generative AI services.</li><li>
Understanding of RAG pipelines and their application in Generative AI.</li><li>
Experience with prompt engineering for LLMs in Generative AI contexts.</li><li>
Soft Skills:</li><li>
Strong problem-solving and analytical skills.</li><li>
Excellent communication and collaboration skills.</li><li>
Ability to work in a fast-paced environment.</li></ul><div>
Preferred Qualifications:</div><ul><li>
Experience with OCR and document processing technologies.</li><li>
Experience with MLOps practices for Generative AI.</li><li>
Contributions to open-source AI projects.</li><li>
Strong experience with vector databases and their optimization for Generative AI applications.</li></ul><div>
Experience - 5+ years</div><div>
Shift Time - 2:30PM to 11:30PM</div></div></div></div></div>

EPAM Systems

<div>We are seeking a Senior AI Engineer to design and develop comprehensive AI applications, including chatbots, Q&amp;A systems, and agent workflows.
This role involves staying updated with the latest LLM technologies and contributing to innovative AI projects. Join our team to advance your expertise in AI engineering and deliver impactful solutions that meet client needs.
Responsibilities<ul><li>
Design, implement, and maintain end-to-end AI applications, including chatbots, Q&amp;A platforms, and agent workflows</li><li>
Collaborate directly with clients to understand their needs, identify opportunities, and recommend LLM-driven solutions</li><li>
Develop and manage robust data pipelines, prompt strategies, and datasets to ensure effective and accurate AI models (Will be a plus)</li><li>
Evaluate and refine AI system performance, ensuring outputs are accurate, secure, scalable, and compliant with industry regulations (Will be a plus)</li><li>
Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value of AI solutions</li><li>
Stay current with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes</li></ul>
Requirements<ul><li>
Strong proficiency in Python, experience with web frameworks like FastAPI or similar</li><li>
Understanding of the AI application development lifecycle</li><li>
Experience with rapid UI prototyping using Streamlit, Gradio, or similar frameworks</li><li>
Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (LangGraph, LlamaIndex, Strands Agents, etc.)</li><li>
Knowledge of advanced AI integration patterns (e.g., RAG, Agents)</li><li>
Experience deploying AI solutions at scale, with considerations for performance, cost-efficiency, and maintainability</li><li>
Proven ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods</li><li>
Proven experience in AI engineering and delivering ML-based solutions</li><li>
Strong problem-solving skills and attention to detail</li><li>
Excellent communication, collaboration, and interpersonal skills</li></ul>
Nice to have<ul><li>
Experience designing experiments, conducting A/B tests, and iterating on models based on user feedback</li><li>
Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms</li><li>
Familiarity with emerging protocols such as MCP, A2A, ACP, etc.</li><li>
Experience deploying to cloud AI platforms (Azure OpenAI, Amazon Bedrock, GCP Vertex AI) or on-premise solutions (e.g., vLLM)</li><li>
Experience with enterprise AI platforms such as AWS AgentCore or Databricks AgentBricks or Google Agents Space, or Azure AI Foundry</li><li>
Experience with observability and monitoring tools and frameworks</li></ul>
Technologies<ul><li>
Python, PyTorch, Hugging Face, LangChain</li><li>
Vector databases including Qdrant, FAISS, Chroma</li><li>
APIs for LLMs such as Azure OpenAI and AWS Bedrock</li></ul>
We offer<ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</div>

Veralto

<div>Are you&hellip;
Interested to work on cutting edge AI work and be a front runner in AI space?
Excited to work on solving business problems using AI?
Interested in developing your career in a leading packaging and printing industry?
Interested in working for a company that is dedicated to sustainability?
If so, read on!
Esko, a Veralto company, is a global provider of integrated software and hardware solutions that accelerate the go-to-market process of packaged goods. Our products empower teams to support and manage the packaging design and print processes for brand owners, retailers, pre-media and trade shops, manufacturers, and converters to provide the most innovative, integrated platform and comprehensive portfolio of tools that intelligently digitize, connect, automate, and accelerate the concept to market processes for every packaged product.
You will be part of a flexible, family friendly organization that cares about its people just as it cares about the environment.
We recognize that people come with a wealth of experience and talent. Diversity of experience and skills combined with passion is a key to innovation and excellence. Therefore, we encourage people from all backgrounds to apply to our positions.
We are looking for Senior AI Engineer to support the development and integration of AI solutions using large language models (LLMs), retrieval-augmented generation (RAG), and agentic frameworks. This mid-level role is ideal for engineers with a solid foundation in AI/ML and a passion for building intelligent systems.
You will contribute to Esko&rsquo;s mission of helping brands and suppliers streamline their packaging go-to-market process. Your work will focus on enabling automatic artwork creation, layouting, and simplifying business workflows through AI-powered tools that integrate with existing Esko products. Role is Hybrid and its preferable to have incumbent based in Bangalore.
In this role, a typical day will look like:<ul><li>
Develop and maintain LLM-based components including prompt templates, embeddings, and vector search integrations.
</li><li>Assist in building agentic workflows that utilize tools, APIs, and plugins for task execution.
</li><li>Collaborate with senior engineers to prototype and deploy AI-powered features in production environments.
</li><li>Integrate and experiment with frameworks like LangChain, Semantic Kernel, or similar.
</li><li>Monitor and improve performance, reliability, and safety of deployed AI systems.
</li><li>Work closely with data scientists, product managers, and platform teams to support AI initiatives across Esko&rsquo;s packaging solutions.</li></ul>
Required Skills &amp; Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, or related field.</li><li>
2&ndash;4 years of experience in AI/ML engineering, with exposure to NLP or LLM technologies.</li><li>
Familiarity with transformer models, prompt engineering, and vector databases (e.g., FAISS, Pinecone).</li><li>
Proficiency in Python and experience with libraries such as Hugging Face Transformers or LangChain.</li><li>
Understanding of software engineering principles and cloud-based deployment practices.</li></ul>
Preferred Qualifications<ul><li>
Experience working with agentic frameworks or building simple autonomous workflows.</li><li>
Exposure to RAG pipelines or fine-tuning LLMs.</li><li>
Interest in responsible AI practices and secure model deployment.</li><li>
Contributions to open-source projects or participation in AI communities.</li></ul>
At Esko, a Veralto Company, innovation comes in every color and never in the same package. Join Esko and see how diversity of people and thought fuels a career journey like no other. Create unique technology solutions for the packaging value chain, bring new ideas to life, make and influence decisions, and experience career growth, rewards, and recognition in our global Packaging &amp; Color organizations.
Esko is proud to be a Product Quality &amp; Innovation company in Veralto (NYSE: VLTO). Imagine a world where everyone has access to clean water, safe food and medicine, and trusted essential goods. That is the tomorrow Veralto is creating today. Veralto is a $5B global leader in essential technology solutions made up of over 16,000 associates across our Water Quality and Product Identification segments all united by a powerful purpose: Safeguarding the World&rsquo;s Most Vital Resources.
At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. 
Unsolicited Assistance
We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.</div>

Ericsson

<div><div><div><div><h2 class="jobSectionHeader">Join our Team</h2>
</div><div>
As the Company at the forefront of the creation of the Mobile world, and with more than 60,000 patents to our name, we&rsquo;ve made it our business to make a mark. Being part of Ericsson empowers you to learn, lead and perform at your best, shaping future technology. Ericsson is an inclusive employer where you are recognized for the skills, talent, and perspective you bring to the team.
Within the Solution Area Cognitive Networks Solutions Software R&amp;D (SA CNS SW R&amp;D), we offer the opportunity to collaborate with highly qualified Global teams and to enable success stories for our customers. You will be exposed to groundbreaking technology (5G, ML/AI, Automation and Cloud computing) and support the delivery of multiple Data-Intensive projects from our customer base and internal requirements. You must have the ability to perform hands-on Cloud and Data engineering tasks independently coupled with the appropriate testing. Are you ready to write the future with us? 
Come, and be where it begins. 
About this opportunity: 
We&rsquo;re hiring a Senior AI Engineer to lead development of production-grade Generative AI on AWS&mdash;LLM services, RAG pipelines, and multi-agent systems. You&rsquo;ll own lifecycle management for prompts, embeddings, models, policies, and IaC (Terraform), implement safety guardrails and observability, and drive AI governance while collaborating across backend, frontend, DevOps, and product teams. If you enjoy building scalable, secure GenAI platforms and mentoring engineers, this role is for you 
What you will do: 
<ul><li>
Lead design and delivery of production-grade GenAI applications (LLM services, RAG pipelines, multi-agent systems) on AWS</li><li>
Own the lifecycle management (LCM) for GenAI components: prompts, policies, agent tools, knowledge bases, embeddings, and model versions; define versioning, rollbacks, approvals, and documentation</li><li>
Translate business requirements into scalable architectural designs for Generative AI models, frameworks, and solutions</li><li>
Implement guardrails, safety layers, and Model Context Protocol integrations for secure, controlled LLM usage</li><li>
Build observability for GenAI workloads: structured logging, tracing, telemetry for prompt/response, retrieval quality metrics, and cost and latency dashboards</li><li>
Define IaC (Terraform) standards for GenAI stacks</li><li>
Drive cross-functional execution with backend, frontend, DevOps, and product teams</li><li>
Define and oversee AI governance, ethical AI use, and compliance with data privacy regulations</li><li>
Provide technical leadership, mentorship, and fostering a culture of innovation and collaboration</li></ul> 
The skills you bring: 
<ul><li>
5+ years of AI/ML engineering with 2+ years specifically in Generative AI and LLM applications</li><li>
Expert knowledge of RAG architectures, vector databases (Pinecone, Weaviate, OpenSearch), and embedding strategies</li><li>
LLM orchestration frameworks: LangChain/LangGraph/LlamaIndex</li><li>
Experience with prompt engineering, tool-calling, function schemas, and agent design patterns (ReAct, planner-executor)</li><li>
Experience with LLM fine-tuning techniques, and LLM evaluation methodologies</li><li>
Strong proficiency with AWS AI/ML services: Bedrock, SageMaker, Lambda, ECS/Fargate for GenAI workloads</li><li>
Solid software engineering skills in Python with experience in production-grade APIs</li><li>
Knowledge of AWS security best practices for AI applications and data governance</li><li>
Experience with CI/CD pipelines for GenAI model deployment and version management</li></ul></div></div></div>
Why join Ericsson?
At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. 
 
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Egypt (EG) || Cairo
Req ID: 775051</div>

Regeneron

<div>Regeneron is founded on the belief that the right idea, combined with the right team, can lead to significant transformations. Our growing global network is dedicated to inventing, developing, and commercializing medicines that change lives for those with serious diseases. In doing so, we are pioneering innovative approaches to science, manufacturing, and commercialization, as well as redefining our understanding of health.
We are in search of a skilled Sr. AI/ML Engineer to enhance our dynamic team In the role of AI/ML Senior Engineer, you will focus on hands-on engineering and development work, driving the creation and implementation of artificial intelligence solutions within our various research and development projects. In the role you will work collaboratively with data scientists, researchers, and software engineers to design, develop, and deploy cutting-edge AI solutions, addressing a range of business challenges. You will be instrumental in building and maintaining machine learning models, crafting advanced algorithms, and ensuring the scalability and robustness of our AI systems.
A typical day might include the following:
<ul><li>Design, develop, and deploy AI models, algorithms, and solutions to analyze complex biological and pharmaceutical data.
</li><li>Collaborate with multi-functional teams to identify AI opportunities and contribute to project goals, requirements, and work you're doing.
</li><li>Create and maintain machine learning models, developing sophisticated algorithms for tasks such as image analysis, natural language processing, and predictive modeling.
</li><li>Enforce to standards in AI model development, deployment, and maintenance, with a focus on performance, scalability, reliability, and regulatory compliance.
</li><li>Stay abreast of the latest AI advancements, assessing their potential application and promoting innovation within the organization.
</li><li>Engage with external partners to integrate modern AI technologies and tools.
</li><li>Share a point of view in AI-related discussions, presenting findings and insights to stakeholders.
</li><li>Implement and refine powerful machine learning models and deep learning architectures.
</li><li>Optimize AI models for performance and reliability, considering computational and regulatory constraints.
</li><li>Contribute to the development of AI-related procedures, standards, and guidelines within the organization.
</li><li>Participate in scientific and technical discussions, communicating findings to various audiences.
</li><li>Develop and maintain comprehensive documentation for AI models and systems.
</li><li>Communicate sophisticated AI concepts to non-technical stakeholders.
</li></ul>This job might be for you if you:
<ul><li>Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
</li><li>At least 2 years of experience in AI/ML engineering, preferably within the biotechnology, pharmaceutical, or healthcare industry.
</li><li>Hands on experience in Building LLM&rsquo;s/Generative AI solutions from scratch using frameworks such as Lang Chain, LangGraph, Crew
</li><li>Proficient programming skills in languages such as Python, R, or Java, and familiarity with software engineering practices.
</li><li>Practical experience in developing and deploying AI model, production-grade conversational AI systems
</li><li>Experience in RAG systems and knowledge base integration with LLMs
</li><li>Experience in Prompt engineering and techniques for improving model performance
</li><li>Experience in using cloud platforms (e.g., AWS, Azure, GCP) and their AI services.
</li><li>Excellent communication skills and the ability to collaborate optimally with multi-functional teams.
</li><li>Strong problem-solving skills and a results-driven approach.
</li><li>Understanding of regulatory compliance related to AI in the biotech and pharma industries is advantageous.
</li><li>Profound knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical methods.
</li><li>Knowledge of natural language processing techniques and tools.
</li><li>Passion for keeping up-to-date with AI research and advancements.
</li><li>Familiarity with Agentic AI patterns: ReAct, tool use, planning strategies, memory management, etc.
</li><li>Familiarity with fine-tuning and training custom language models
</li><li>Understanding of prompt testing and evaluation frameworks
 </li><li>Familiarity with big data technologies, such as Hadoop, Spark, or NoSQL databases.
</li></ul>Connect with us, so we can learn more about you, and you can learn more about our medicines. And join us in crafting the future of healthcare. 
Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process. Please contact us to discuss any accommodations you think you may need.
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels!
Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business.
For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location.
Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.</div>

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