AI/ML Engineer

We need to output HTML fragment with sections: About the role? The job summary is present. Use

for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must include sections only when posting has real specific content. The posting includes Job Summary (we can treat as About the role). Responsibilities: Key Responsibilities. Requirements: maybe Required Skills? Actually "Required Skills" is skills. But we have separate sections: Requirements, Qualifications, Skills. The posting includes "Required Skills" (list), "Preferred Skills", "Education", "Qualifications" (4+ years experience etc), "Work Environment" includes schedule etc. Also "Cloud & MLOps Experience With One Or More Of The Following" is more like required skills? Might be part of Skills. We'll need to map. We must not repeat job title as heading. No Job ID etc. Remove boilerplate. We need to preserve all substantive info. So we need to include content from: - Job Summary paragraph. - Key Responsibilities bullet list. - Required Skills bullet list. - Preferred Skills bullet list. - Education bullet. - Qualifications bullet (4+ years experience etc). - Work Environment: Position: Full-Time, Work Arrangement: Hybrid, Schedule: Standard business hours..., Location: [City, State] (we can include location maybe as part of About the role? Could be separate but we have no heading for location; we could include in About the role paragraph or maybe in a short p. Since we have Schedule heading only if schedule specified; we have schedule: Standard business hours, with flexibility based on business requirements. So we can include Schedule section. Benefits? Not mentioned. Pay? Not mentioned. So we omit Benefits and Pay. We also have Cloud & MLOps Experience list; could be part of Required Skills or Skills. We'll include under Skills maybe. We need sections: About the role (job summary), Responsibilities, Requirements, Qualifications, Skills, Schedule. Possibly also Education? Could be part of Qualifications? But we have Qualifications separate; Education could be under Qualifications or separate. Since we have Education content, we could put under Qualifications? But Qualifications already includes experience etc. Better to have Education as its own section? Not in allowed headings list; allowed headings are About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Education not allowed. So we must fold Education into either Qualifications or Skills or About the role. Probably Qualifications includes education and experience. So we can combine Education bullet into Qualifications section. Similarly, Preferred Skills could be part of Skills section (maybe as a sublist). We'll include both required and preferred under Skills, maybe separate subheadings? Not allowed to add extra headings beyond those; but we can include paragraphs with bold? Probably just list all skills under Skills section, maybe separate required and preferred with a note. We must not invent placeholders. So we need to include all specifics. Let's extract details. Job Summary paragraph: "We are seeking an experienced AI/ML Engineer to design, develop, deploy, and maintain machine learning and artificial intelligence solutions. The ideal candidate will have strong experience in Python, Machine Learning, Deep Learning, NLP, Generative AI, LLMs, and MLOps, along with hands-on experience building and deploying scalable AI/ML applications in cloud environments. The candidate will work closely with data scientists, software engineers, product teams, and business stakeholders to develop production-ready AI solutions." Key Responsibilities bullet list (each line): - Design, develop, train, evaluate, and deploy machine learning models. - Build scalable AI/ML pipelines for data processing, model training, and inference. - Develop machine learning solutions using Python and relevant ML frameworks. - Work with supervised and unsupervised learning algorithms. - Develop and optimize deep learning models using frameworks such as TensorFlow or PyTorch. - Develop solutions involving NLP, Generative AI, LLMs, and Large Language Models. - Work with LLM APIs, prompt engineering, embeddings, vector databases, and RAG (Retrieval-Augmented Generation) architectures. - Fine-tune and optimize machine learning and AI models when required. - Deploy AI/ML models into production environments using cloud and containerization technologies. - Develop and maintain MLOps pipelines for continuous training, deployment, monitoring, and model lifecycle management. - Perform model evaluation, validation, performance optimization, and troubleshooting. - Collaborate with data engineers to prepare and transform large datasets for machine learning applications. - Implement APIs and microservices to integrate AI/ML models with enterprise applications. - Monitor model performance, accuracy, latency, and reliability in production. - Ensure AI solutions are scalable, secure, maintainable, and cost-effective. - Stay current with emerging AI/ML technologies, frameworks, and best practices. Required Skills bullet list: - Strong programming experience with Python. - Strong understanding of Machine Learning and Deep Learning concepts. - Experience with Scikit-learn, TensorFlow, PyTorch, or similar frameworks. - Experience with Pandas, NumPy, Matplotlib, and other data science libraries. - Strong understanding of algorithms, statistics, probability, and model evaluation. - Experience with NLP and Generative AI. - Hands-on experience with LLMs, Prompt Engineering, RAG, embeddings, and vector databases. - Experience with REST APIs and microservices. - Experience with Git/GitHub and software development best practices. - Knowledge of SQL and working with structured and unstructured data. - Experience with Docker and containerized applications. - Understanding of CI/CD and MLOps practices. Cloud & MLOps Experience With One Or More Of The Following list: - AWS – SageMaker, Bedrock, EC2, S3, Lambda - Azure – Azure Machine Learning, Azure OpenAI, Azure AI Services - GCP – Vertex AI, BigQuery, Cloud Storage - Kubernetes - Docker - MLflow - Airflow - Jenkins / GitHub Actions / Azure DevOps Preferred Skills bullet list: - Experience with Generative AI and LLM application development. - Experience with OpenAI, Azure OpenAI, Anthropic, or similar LLM platforms. - Experience with vector databases such as Pinecone, FAISS, Weaviate, or Chroma. - Experience building RAG-based applications and AI agents. - Knowledge of LangChain, LlamaIndex, or similar frameworks. - Experience with model optimization and inference performance. - Knowledge of responsible AI, model security, and AI governance. - Experience working in Agile/Scrum environments. Education bullet: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. - Equivalent professional experience may be considered. Qualifications bullet list: - 4+ years of professional experience in AI/ML, Data Science, or related engineering roles. - Strong problem-solving and analytical skills. - Ability to translate business requirements into scalable AI/ML solutions. - Strong communication and collaboration skills. - Ability to work independently as well as within a cross-functional team. - Experience developing production-grade AI/ML applications. Work Environment: - Position: Full-Time - Work Arrangement: Hybrid - Schedule: Standard business hours, with flexibility based on business requirements - Location: [City, State] Keywords list not needed. Now we need to produce HTML with sections. We'll have:

About the role

Job summary paragraph.

Responsibilities

• ... each responsibility

Requirements

Maybe we combine Required Skills and Cloud & MLOps Experience as Requirements? But we also have Skills section. The spec says we can have Requirements and Skills separate. We need to decide what goes where. We have Required Skills (technical). Could be Requirements. Also Cloud & MLOps Experience could be Requirements. Preferred Skills could be Skills? But we also have Skills section for both required and preferred? The spec: Use sections only when posting has real specific content. We have both Required Skills and Preferred Skills; we could put Required Skills under Requirements, Preferred Skills under Skills. Also we have Education and Qualifications; Qualifications already includes experience etc. We could put Education under Qualifications as well. Thus sections: - About the role (job summary) - Responsibilities (key responsibilities) - Requirements (required skills + cloud & mlops experience) - Qualifications (education + qualifications list) - Skills (preferred skills) - Schedule (schedule info) We should not include Benefits or Pay. Check that we don't leave any content out: we included job summary, responsibilities, required skills, cloud & mlops, education, qualifications, preferred skills, schedule, work arrangement (Hybrid) and position full-time maybe we can include in About the role or Schedule? The schedule section only includes schedule; we could also mention work arrangement and position in About the role or maybe in a short p under About the role. Since we have no heading for work arrangement, we can include it in About the role paragraph after job summary: "This is a full-time hybrid position." Or we could add a short p after About the role? But we must not create extra headings. So we can add a sentence in About the role paragraph. Let's craft About the role paragraph: combine job summary and mention full-time hybrid. Paragraph: "We are seeking an experienced AI/ML Engineer to design, develop, deploy, and maintain machine learning and artificial intelligence solutions. The ideal candidate will have strong experience in Python, Machine Learning, Deep Learning, NLP, Generative AI, LLMs, and MLOps, along with hands-on experience building and deploying scalable AI/ML applications in cloud environments. The candidate will work closely with data scientists, software engineers, product teams, and business stakeholders to develop production-ready AI solutions. This is a full-time hybrid position." Now Responsibilities ul. Requirements ul: combine Required Skills and Cloud & MLOps Experience items. Qualifications ul: combine Education bullet points and Qualifications bullet points. Skills ul: Preferred Skills. Schedule: we have schedule line: "Standard business hours, with flexibility based on business requirements". Could also mention location? Not needed. We'll output only HTML fragment. Make sure to use

for each section heading. Let's construct. Check for any duplicated lines: we must not repeat. Ensure we include all bullet items exactly as given. Let's list Required Skills items: - Strong programming experience with Python. - Strong understanding of Machine Learning and Deep Learning concepts. - Experience with Scikit-learn, TensorFlow, PyTorch, or similar frameworks. - Experience with Pandas, NumPy, Matplotlib, and other data science libraries. - Strong understanding of algorithms, statistics, probability, and model evaluation. - Experience with NLP and Generative AI. - Hands-on experience with LLMs, Prompt Engineering, RAG, embeddings, and vector databases. - Experience with REST APIs and microservices. - Experience with Git/GitHub and software development best practices. - Knowledge of SQL and working with structured and unstructured data. - Experience with Docker and containerized applications. - Understanding of CI/CD and MLOps practices. Cloud & MLOps Experience items: - AWS – SageMaker, Bedrock, EC2, S3, Lambda - Azure – Azure Machine Learning, Azure OpenAI, Azure AI Services - GCP – Vertex AI, BigQuery, Cloud Storage - Kubernetes - Docker - MLflow - Airflow - Jenkins / GitHub Actions / Azure DevOps Note Docker appears also in Required Skills; but we keep as is; duplication okay? Might be considered duplicated line but it's same content; but we should avoid duplication? The instruction: "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines". Duplicate lines across sections maybe considered duplicated? It's same line appears in both Required Skills and Cloud & MLOps. Might be considered duplicated; we could deduplicate by merging. Safer to include only once. Since Docker appears in both, we can keep one instance under Requirements (maybe under Required Skills). We'll omit duplicate from Cloud & MLOps list. Similarly, maybe other duplicates? Not. Now Qualifications: Education items: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. - Equ