machine learning architect

Cartafella Analytics

<p>We are looking for AI Consultant/Architect for Qatar location.</p><p>Years of Experience: 8-10 years</p><p>Job Description</p><p>Designs AI-driven solutions to enhance SAP systems, integrating machine learning and AI technologies to optimize business processes.</p><p>Duties/Task</p><p>Design AI/ML solutions, integrate AI with SAP, conduct Data analysis, implement AI-based tools.</p><p>Qualifications and Experience</p><p>8-10 years in AI/ML, experience with SAP, expertise in AI</p><p>Platforms (e.g., TensorFlow), and programming skills in Python/R.</p><p>If you are available please send your cv immediately</p><p>Job Type: Full-time</p><p>Pay: QAR20,000.00 - QAR26,500.00 per month</p><p>Experience:</p><ul><li>AI/ML: 6 years (Preferred)</li><li>SAP: 2 years (Preferred)</li><li>Python/R: 3 years (Preferred)</li></ul>

AI Consultant/Architect for Qatar

QBurst

<p></p><div><h2 class="jobSectionHeader"><b>Description:</b></h2><p>
We are seeking an experienced Architect<b> </b>to drive our data and AI streams. The ideal candidates are not just technical experts but also strategic thinkers who can act as independent consultants, guiding projects from concept to production. They should have a proven track record of designing, developing, and deploying robust, scalable, and real-world AI systems.</p><h3 class="jobSectionHeader"><b>
Responsibilities:</b></h3><ul><li><b>
Architect and Design:</b> Lead the architecture, design, and implementation of highly scalable and reliable data platforms and AI systems. This includes building foundational data pipelines, data lakes, and real-time data streams</li><li><b>
AI/ML Development:</b> Drive the end-to-end lifecycle of machine learning models, from experimentation and feature engineering to deployment, monitoring, and maintenance in a production environment (MLOps)</li><li><b>
Technical Leadership:</b> Act as a technical lead, mentoring junior engineers, setting best practices, and performing code reviews to ensure high-quality and efficient code</li><li><b>
Strategic Consultation:</b> Work directly with our client&rsquo;s technical and product teams to understand requirements and translate them into a clear technical vision and roadmap</li><li><b>
Innovation:</b> Stay current with the latest advancements in AI, LLMs, machine learning, and data engineering to introduce new technologies and methodologies that improve our capabilities</li><li><b>
Collaboration:</b> Partner with cross-functional teams, including product managers, data scientists, and software engineers, to deliver integrated solutions</li></ul><p><b>
Requirements</b></p><ul><li><b>
Extensive Experience:</b> 8+ years of hands-on experience in AI/ML and data engineering</li><li><b>
Scalable AI Systems:</b> Proven experience designing and implementing <b>scalable AI systems</b> in a production environment. This includes a deep understanding of MLOps principles and tools</li><li><b>
Technical Expertise:</b><ul><li><b>
Data Technologies:</b> Proficiency with modern data platforms and tools (e.g., Databricks, Snowflake, Apache Spark, Flink, Airflow, Kafka)</li><li><b>
AI/ML Frameworks:</b> Strong command of at least one major ML framework (e.g., TensorFlow, PyTorch). Experience with large language models (LLMs) and other generative AI technologies is a significant plus</li><li><b>
Gen AI Frameworks: Exposure to LLMs like Open AI, Claude, Gemini etc and frameworks like LangChain, LangGraph, LangSmith, LangFlow etc</b></li><li><b>
Programming Languages:</b> Expert-level proficiency in at least one key programming language (e.g., Python, Scala, Java)</li></ul></li><li><b>
Cloud Platforms:</b> Extensive experience with one or more major cloud providers (AWS, GCP, or Azure), including their data and AI services</li><li><b>
Data Engineering</b> : Exposure to big data processing using PySpark or Databricks is an added advantage while not a mandatory skill</li><li><b>
Problem-Solving:</b> Exceptional analytical and problem-solving skills, with the ability to tackle complex, ambiguous challenges independently</li><li><b>
Communication:</b> Excellent communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders</li></ul><h4 class="jobSectionHeader"><b>
Preferred Qualifications:</b></h4><ul><li>
Experience with a diverse set of AI applications, such as computer vision, natural language processing, or time-series analysis</li><li>
Background in an industry with complex data requirements (e.g., finance, e-commerce, healthcare)</li><li>
A portfolio of open-source contributions demonstrating real-world projects and technical depth</li></ul></div><p></p>

Lead Engineer/Associate Architect - Data/AI

LTIMindtree

<div><b>Role description</b><div><br>
<div><div>
</div><br>
</div></div><p></p><p>JD</p>
<p>
Skillset AI Architect</p><br>
<p></p>
<p>
Key Responsibilities<br>
Collaborate with data scientists engineers and product managers to identify AI opportunities and define project requirements<br>
Evaluate and select appropriate AI technologies tools and platforms to optimize performance and scalability<br>
Lead the development of AI algorithms and models ensuring they are robust efficient and aligned with best practices<br>
Conduct research on emerging AI trends and technologies to inform strategic decisions and maintain a competitive edge<br>
Oversee the integration of AI solutions into existing systems and workflows ensuring seamless functionality<br>
Provide technical guidance and mentorship to team members on AIrelated projects and initiatives<br>
Monitor and evaluate the performance of AI models making necessary adjustments to improve accuracy and efficiency<br>
Communicate complex AI concepts and solutions to nontechnical stakeholders in a clear and concise manner<br>
Develop a deep understanding of Azure solution architecture including infrastructure services cost management and monitoring</p><br>
<p></p>
<p>
Qualifications<br>
Proven experience as an AI Architect or in a similar role with a strong portfolio of successful AI projects<br>
Experience with cloud platforms eg Azure Google Cloud AWS and big data technologies specifically Azure Data Lake Databricks and other big data processing tools eg Hadoop Spark<br>
Basic Understanding of machine learning algorithms deep learning natural language processing and computer vision<br>
Understanding of cloud infrastructure services cost management and monitoring<br>
Knowledge of AI tools and GenAI and Agentic AI frameworks<br>
Exposure to cloud architecture principles and practices with a focus on improvement<br>
Ability to learn quickly and adapt to new technologies and methodologies<br>
Experience in deploying AI solutions in production environments<br>
Knowledge of data engineering and data management best practices</p><br>
<p></p>
<p>
Preferred Skills<br>
Experience with other cloud platforms such as Google Cloud and Amazon Web Services<br>
Understanding of system design principles and cloud deployment strategies</p><b><br>
Skills</b><p><b><br>
Mandatory Skills : </b>Flask,Python,BI Reports / Data Visualization Testing,GenAI - LLMOps,Statistics-Data Science,Machine Learning Algorithms,Deep Learning Algorithms,Natural Language Processing - AIOPS,Django,Keras</p><b><br>
About LTIMindtree</b><br>
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 83,000+ talented and entrepreneurial professionals across more than 40 countries, LTIMindtree &mdash; a Larsen &amp; Toubro Group company &mdash; solves the most complex business challenges and delivers transformation at scale. For more information, please visit https://www.ltimindtree.com/. Please also note that neither LTIMindtree nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTIMindtree for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTIMindtree disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

Associate Principal - Data Sciences

Huntsmen and Barons

<p><b>Strong Python Programmer+ Machine Learning Lead+Agentic AI Framework (Certification or project exposure)</b></p><p><b>BAND: C1</b></p><p><b>Experience: </b>10+ Years</p><p><b>Job Title:</b> Sr AIML/GenAI Lead/Architect</p><p><b>Location:</b> Wipro Kodathi, Bangalore (5 Days work from office)</p><p><b>NO WFH Allowed</b></p><p><b>Job Summary:</b> We are seeking a highly skilled and versatile <b>Senior AIML/GenAI Lead</b> who embodies the rare combination of a strong software engineer, a pragmatic data scientist, and an expert in building robust, scalable ML applications. Experience in Gen AI, LLM, ML/DL/NLP, RAG, Lang chain, Mistral, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB.</p><p>This role is critical to our mission, bridging the gap between cutting-edge ML research and robust, production-ready systems.</p><p>You will be instrumental in designing, developing, deploying, and maintaining our core AI-powered products and features. This demands a blend of analytical rigor, architectural foresight, and a deep understanding of the entire machine learning lifecycle, from data exploration and model development to deployment, monitoring, and continuous improvement. If you thrive on taking ML models from concept to customer impact and possess exceptional software design skills, we encourage you to apply.</p><p><b>Key Responsibilities:</b></p><ul><li><b>ML Model Development &amp; Optimization:</b> Experience in developing and implementing generative AI models and algorithms. Collaborate with Data Scientists to understand business problems, explore data, develop, train, and evaluate machine learning models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Optimize models for performance, efficiency, and interpretability.</li><li><b>End-to-End ML Application Development:</b> Lead the design, development, and deployment of machine learning models and intelligent systems into production environments, ensuring they are robust, scalable, and performant.</li><li><b>Software Design &amp; Architecture:</b> Apply strong software engineering principles to design and build clean, modular, testable, and maintainable ML pipelines, APIs, and services. Contribute significantly to the architectural decisions for our ML platform and applications.</li><li><b>Data Engineering for ML:</b> Design and implement data pipelines for feature engineering, data transformation, and data versioning to support ML model training and inference.</li><li><b>Performance &amp; Scalability:</b> Identify and resolve performance bottlenecks in ML systems. Ensure the scalability and reliability of deployed models under varying load conditions.</li><li><b>Collaboration &amp; Mentorship:</b> Work closely with cross-functional teams including Data Scientists, Software Engineers, Product Managers, and DevOps to integrate ML solutions seamlessly into our products. Potentially mentor junior engineers on best practices in ML engineering and software design.</li><li><b>Research &amp; Innovation:</b> Stay abreast of the latest advancements in machine learning, MLOps, and related technologies. Propose and experiment with new techniques and tools to improve our ML capabilities.</li><li><b>Documentation:</b> Create clear and comprehensive documentation for ML models, pipelines, and services.</li></ul><p><b>Required Qualifications:</b></p><ul><li><b>Education:</b> Master&rsquo;s degree in computer science, Machine Learning, Data Science, Electrical Engineering, or a related quantitative field.</li><li><b>Experience:</b> 10+ years of professional experience in Machine Learning Engineering, Software Engineering with a strong ML focus, or a similar role.</li><li><b>Good to have Programming Skills:</b> Proficiency in Python, including experience with writing production-grade, clean, efficient, and well-documented code. Experience with other languages (e.g., Java, Go, C++) is a plus.</li><li><b>Strong Software Engineering Fundamentals:</b> Deep understanding of software design patterns, data structures, algorithms, object-oriented programming, and distributed systems.</li><li><b>Must have Machine Learning Expertise:</b></li><li>Solid theoretical and practical understanding of various machine learning algorithms</li><li>Proficiency with ML frameworks such as PyTorch, Scikit-learn.</li><li>Experience with feature engineering, model evaluation metrics, and hyperparameter tuning.</li><li><b>Data Handling:</b> Experience with SQL and NoSQL databases, data warehousing concepts, and processing large datasets.</li><li><b>Problem-Solving:</b> Excellent analytical and problem-solving skills, with a pragmatic approach to delivering solutions.</li><li><b>Communication:</b> Strong verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Master's or Ph.D. in a relevant field.</li><li>Contributions to open-source projects or a strong portfolio of personal projects.</li><li>Experience with A/B testing and experimental design for ML models.</li><li>Knowledge of data governance, privacy, and security best practices in ML.</li></ul><p><b>Interested candidates can share their CV on neha.pawar@huntsmenbarons.com or WhatsApp on 9109961225.</b></p><p>Job Type: Full-time</p><p>Pay: &#8377;3,500,000.00 - &#8377;3,900,000.00 per year</p><p>Work Location: In person</p>

Sr AIML/GenAI Lead/Architect

Guidewire Software, Inc.

<div><div><p><b>India - Bangalore</b><b>
</b></p><p>Professional Services/Full time/Onsite</p><p></p><div><br>
Guidewire is seeking an experienced AI/ML Architect to lead the design and development of advanced AI and machine learning solutions within our platform. You will leverage your deep technical expertise and architectural vision to drive scalable, innovative, and effective AI integrations that enhance our insurance software offerings.</div></div><div><div><div>
Job Description</div><div></div><div>
What you&rsquo;ll do</div><ul><div><div>
Architect high-level AI/ML solutions aligned with business goals and product strategies.</div></div><div><div>
Lead the end-to-end design of AI/ML components, ensuring scalability, reliability, and performance.</div></div><div><div>
Collaborate with product teams, data scientists, and engineering teams to integrate AI/ML models into Guidewire applications.</div></div><div><div>
Define standards, best practices, and governance for AI/ML development and deployment.</div></div><div><div>
Evaluate emerging AI/ML technologies and recommend their adoption into the platform.</div></div><div><div>
Drive technical innovation by exploring advanced AI/ML techniques, including deep learning, NLP, and predictive analytics.</div></div><div><div>
Provide technical mentorship and guidance to engineering teams and stakeholders.</div></div><div><div>
Document architecture, workflows, and technical specifications.</div></div></ul><div></div><div>
What you&rsquo;ll have</div><ul><div><div>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field; PhD preferred.</div></div><div><div>
10 years of relevant experience</div></div><div><div>
Extensive experience designing and implementing AI/ML architectures in enterprise environments.</div></div><div><div>
Strong expertise in AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, etc.</div></div><div><div>
Proficiency in cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).</div></div><div><div>
Hands-on experience with big data technologies and distributed computing.</div></div><div><div>
Solid understanding of software architecture principles and system integration.</div></div><div><div>
Excellent leadership, communication, and stakeholder management skills.</div></div></ul><div></div><div>
What will help you stand out</div><ul><div><div>
Experience working with Guidewire products or insurance domain knowledge.</div></div><div><div>
Relevant certifications in AI/ML, cloud computing, or architecture frameworks.</div></div><div><div>
Proven track record of delivering scalable AI/ML solutions in production environments.</div></div></ul></div><div></div><div><div>
Interested in this position?</div></div></div></div><p></p>
<br><div><div>About Guidewire</div><div></div><div>
Guidewire is the platform P&amp;C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.</div><div></div><div>
As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&amp;D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.</div><div></div><div>
For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.
</div><div></div><div>Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.</div></div>

AI/ML Architect

Şişecam

<div>
 <p>
  <em>
   Sisecam was founded in 1935
  </em>
  <strong>
   to establish Turkey&rsquo;s glass industry in line with the vision of
  </strong>
  <em>
   Mustafa Kemal Atat&uuml;rk, a great leader respected worldwide. Today, Sisecam is a major global player in the fields of glass and chemicals
  </em>
  <strong>
   . Sisecam is the only global company
  </strong>
  <em>
   operating in all core areas of glass production &ndash;
  </em>
  <strong>
   including flat glass, glassware, glass packaging, and glass fiber. Currently, Sisecam ranks among the world&rsquo;s top two manufacturers of glassware and the top five producers of glass packaging and flat glass.
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   Sisecam
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   is one of the three largest soda ash producers in the world
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   and
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   the world leader in chromium chemicals.
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   business lines. Sisecam operates production facilities in Germany, Italy, Bulgaria, Romania, Slovakia, Hungary, Bosnia-Herzegovina, Russia Federation, Georgia, Ukraine, Egypt, India, and the USA in addition to Turkey.
  </em>
 </p>
 <p>
  <em>
   Sisecam who takes firm steps towards its goal of becoming one of the world's top 3 manufacturers in its main fields of activity
  </em>
  <strong>
   , with its competent human resources and smart technologies, and uninterruptedly continues to transform its digital infrastructure and culture by considering the future necessities. Sisecam who ha
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   s 90 years of experience, more than 24 thousand employees, production activities in
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   14 countries on four continents, and a sales network of more tha
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   n 150 countri
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   es, continues its growth journey in line with its
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   ce" strategy and wit
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   h an inclusive approach that supports the development of company's entire ecosystem. Sisecam takes responsibility fo
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   r protecting the planet, empowering society and transforming life with its CareForNext strate
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   y, which is compliant with and centered around the United Nations Sustainable Development Goals. Sisecam uses all its experience and competencies to promote sustainable development in every aspect.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an
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   "
  </strong>
  <strong>
   AI Architect
  </strong>
  " to take part in &Scedil;i&scedil;ecam Headquarter located in Tuzla/&Idot;stanbul.
 </p>
 <p>
  <br/>
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 <p>
  The AI Architect is a pivotal strategic and technical leader who will be instrumental in bridging the gap between cutting-edge AI research and robust, scalable, production-ready solutions tailored for &Scedil;i&scedil;ecam's diverse business needs. This role is crucial for establishing the foundational architecture, best practices, and technological standards that will enable our data science team to deploy impactful AI solutions efficiently, securely, and reliably across the organization. This role will not only design systems but also critically assess, select, and integrate ready-to-use AI products and vendor solutions ('buy' strategy) alongside custom-built functionalities ('make' strategy). The ideal candidate would have the following qualifications:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   BSc or MSc in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related quantitative field.
  </li>
  <li>
   8+ years of progressive experience in software architecture, with at least 3-5 years specifically focused on designing and deploying large-scale AI/ML systems in production environments.
  </li>
  <li>
   Demonstrable experience architecting solutions involving Generative AI, Large Language Models (LLMs), prompt engineering, Retrieval Augmented Generation (RAG) patterns, or fine-tuning techniques.
  </li>
  <li>
   Proven experience in architecting and implementing MLOps frameworks and automated ML pipelines.
  </li>
  <li>
   Strong expertise with major cloud platforms (e.g., Microsoft Azure, AWS, GCP) and their respective AI/ML services.
  </li>
  <li>
   Proficiency in programming languages commonly used in AI/ML (e.g., Python) and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch).
  </li>
  <li>
   Proven experience with evaluating, selecting, integrating, and managing third-party AI products, platforms, or cloud-native AI services.
  </li>
  <li>
   Exceptional leadership, mentorship, and communication skills, with the ability to inspire and guide a young, dynamic team.
  </li>
  <li>
   A strategic thinker with a pragmatic approach to problem-solving and a strong focus on delivering business value through both custom builds and strategic partnerships.
  </li>
  <li>
   Ability to work effectively in a cross-functional, highly collaborative environment.
  </li>
  <li>
   Passionate about fostering an innovative culture and continuous learning, particularly in the fast-evolving field of Generative AI.
  </li>
 </ul>
 <p>
  <br/>
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 <p>
  <strong>
   JOB DESCRIPTION
  </strong>
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  <br/>
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  <li>
   Develop and maintain &Scedil;i&scedil;ecam&rsquo;s enterprise-wide AI architecture vision and roadmap, identifying key components, platforms, and integration points for scalable AI adoption.
  </li>
  <li>
   Strategic 'Buy vs. Make' Decisions: Lead the evaluation, selection, and integration of commercial off-the-shelf (COTS) AI products, platforms, and third-party vendor solutions, balancing these with custom-built components to optimize for speed, cost, and long-term maintainability.
  </li>
  <li>
   Generative AI Leadership: Define and champion the architectural strategy and roadmap for Generative AI (GenAI) adoption across &Scedil;i&scedil;ecam, identifying high-impact use cases and the necessary technical infrastructure for large language models (LLMs) and other generative capabilities.
  </li>
  <li>
   Design robust, scalable, secure, and performant end-to-end AI/ML systems, encompassing data ingestion, feature engineering, model training/evaluation, and deployment (real-time, batch, edge), monitoring, and retraining mechanisms.
  </li>
  <li>
   Architect scalable and secure solutions for Generative AI applications, including considerations for large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG) patterns, fine-tuning strategies, and model safety.
  </li>
  <li>
   Establish and standardize MLOps (Machine Learning Operations) practices, pipelines, and automation to streamline the entire ML lifecycle from experimentation to production.
  </li>
  <li>
   Provide strong technical leadership and architectural guidance to the data science team, steering them towards best practices in model deployment, system resilience, performance optimization, responsible AI, and advanced GenAI solution patterns.
  </li>
  <li>
   Work closely with IT infrastructure, cybersecurity, operational technology (OT) teams, embed security best practices into all AI architectures from the outset, protecting sensitive data and preventing unauthorized access or manipulation of AI models, including IP and data handling for GenAI.
  </li>
 </ul>
 <p>
 </p>
</div>


AI Architect

GE HealthCare

<div><h1 class="jobSectionHeader"><b>Job Description Summary</b></h1>
GE HealthCare has embarked on a Gen AI journey to transform the company and is looking for an AI Architect to design the foundation and strategy for the program working directly with the Chief Data Officer (CDO).<br>
As the AI Architect, you will play a pivotal role in designing, developing, and deploying generative AI solutions that align with GE HealthCare's strategic objectives. You will collaborate with cross-functional teams, including data scientists, engineers, and business leaders, to drive innovation and ensure the successful implementation of AI-driven initiatives. You will be responsible for architecting scalable AI models and systems that deliver tangible business value, while also establishing best practices for the ethical and responsible use of AI technologies.<p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p><b>
Key Responsibilities:</b></p><p><b>
Architectural Design and Strategy:</b></p><ul><li><p>
Develop and maintain the foundational architecture for generative AI initiatives, ensuring scalability, security, and efficiency.</p></li><li><p>
Define the technical roadmap for generative AI capabilities, aligning with business objectives and CDO technology strategies.</p></li><li><p>
Collaborate with stakeholders to gather requirements, provide technical guidance, and deliver AI solutions that meet business needs.</p></li><li><p>
Define, deploy, and advance processes for: AI/ML development, MLOps, LLMOPs, and the monitoring, observability, security, and maintainability of AI models.</p></li></ul><p><b>
Infrastructure and Deployment:</b></p><ul><li><p>
Design and implement the infrastructure required to support generative AI models, including cloud-based solutions, data pipelines, and data storage platforms.</p></li><li><p>
Ensure seamless integration of AI models into production environments, enabling real-time and batch processing capabilities.</p></li></ul><p><b>
Leadership and Best Practices:</b></p><ul><li><p>
Mentor a team of engineers and data scientists in the development and deployment of generative AI models.</p></li><li><p>
Stay abreast of the latest advancements in generative AI and related technologies, incorporating best practices and innovative approaches into the architecture.</p></li><li><p>
Drive continuous improvement of the AI architecture, ensuring it evolves to meet changing business and technological demands.</p></li></ul><p><b>
Governance and Security:</b></p><ul><li><p>
Implement and enforce AI governance standards and security measures to protect sensitive data and ensure regulatory compliance.</p></li><li><p>
Monitor and mitigate risks associated with the deployment and operation of AI models.</p></li></ul><p><b>
Required Qualifications:</b></p><ul><li><p><b>
Education:</b></p><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field. Master&rsquo;s or PhD is a plus.</p></li></ul></li><li><p><b>
Experience:</b></p><ul><li><p>
4+ years of experience in designing and implementing AI architectures, with a focus on generative models (e.g., GPT, VAEs, GANs).</p></li><li><p>
10+ years of experience with cloud platforms (AWS preferred) and AI/ML frameworks (TensorFlow, PyTorch).</p></li><li><p>
Experience with Generative AI RAG pattern and LLM fine tuning.</p></li><li><p>
Experience with ML and Generative AI tools such as Amazon SageMaker and Amazon Bedrock.</p></li><li><p>
Knowledge of ethical principles in AI development and deployment, including fairness, accountability, and transparency, ability to identify and address biases in data and models and understanding of techniques for interpreting and explaining AI models.</p></li></ul></li><li><p><b>
Skills:</b></p><ul><li><p>
Proficiency in programming languages such as Python, R, Java, and C++ or related modern programming languages.</p></li><li><p>
Deep understanding of machine learning algorithms, natural language processing, and deep learning techniques.</p></li><li><p>
In-depth knowledge of CNNs, RNNs, LSTMs, Transformers, and their applications.</p></li><li><p>
Strong understanding of NLP techniques, including text preprocessing, tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition.</p></li><li><p>
Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.</p></li><li><p>
Strong communication and collaboration skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders.</p></li></ul></li></ul><p><b>
Preferred Qualifications:</b></p><ul><li><p>
Experience with MLOps and CI/CD pipelines for AI model deployment.</p></li><li><p>
Experience with AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2</p></li><li><p>
Familiarity with ethical AI practices and AI governance frameworks.</p></li><li><p>
Experience in the healthcare industry or with healthcare data is desirable.</p></li><li><p>
In depth understanding of healthcare regulations (HIPAA, GDPR, etc.), data privacy, and patient safety standards.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Additional Information</b></h1><div><div><div><div><div><div><div><p><b>
Relocation Assistance Provided: </b>No</p></div></div></div></div></div></div></div></div><p></p>

Principal AI Architect

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