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Every career with Hearst Television is like a story. How it develops, where it takes you, the milestones you reach along the way – you’ve got a lot to look forward to as your unique career story unfolds. Hearst Television, a subsidiary of Hearst, owns and operates local television and radio stations serving nearly three dozen U.S. cities, reaching 24 million U.S. television households. Through its partnership with nearly all major networks, Hearst Television distributes national content across more than 120 video channels, including programming from ABC, NBC, CBS, CW, MY Net, MeTV, This TV, Estrella, and more. Hearst Television is recognized as one of the industry's premier companies. It has been honored with numerous awards for distinguished journalism and industry innovation, including the Walter Cronkite Award for political journalism, the national Edward R. Murrow Award, the DuPont-Columbia Award, and the George Foster Peabody Award.

","New York, NY","coloredLogo","logoAttachment","Hearst.png","thumbnail","thumbnailAttachment","Hearst_TV_Careers.png","hexCode","#2D75B9","headline","National multimedia company reaching 24 million households","https://production-rails-default.s3.amazonaws.com/uploads/company/logo_attachment/1072/Hearst.png","/companies/hearst-television","https://production-rails-default.s3.amazonaws.com/uploads/company/thumbnail_attachment/1072/Hearst_TV_Careers.png","hasJobSubmission","isSavedJob","similarJobs",[523,542,556,574,585],{"_435":434,"_439":524,"_470":471,"_462":525,"_248":526,"_446":527,"_433":434,"_113":528,"_437":199,"_438":199,"_472":471,"_448":199,"_449":529,"_431":535,"_473":536,"_436":120,"_487":488,"_478":537,"_489":528,"_490":538,"_492":539,"_494":540,"_496":541},["D",1773079200000],"CCS Corp","Benefits:

Bonus based on performance

Dental insurance

Health insurance

Vision insurance

Qualifications:

8+ years of software engineering and development experience

Proven experience in building and deploying GenAI applications in production.

Strong programming skills in Python and familiarity with GenAI libraries (Transformers, LangChain, Hugging Face, etc.).

Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate).

Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

Familiarity with CI/CD for ML workflows and versioning tools like MLflow or DVC.

Hands-on experience designing and building cloud-native solutions (preferably on AWS)

Exposure to GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock)

Familiarity with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex)

AWS AI certification

Responsibilities

Design scalable and robust GenAI architectures using LLMs, multimodal models, and retrieval-augmented generation (RAG).

Fine-tune foundation models using domain-specific data.

Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback (RLHF).

Integrate GenAI capabilities into enterprise platforms using APIs, SDKs, and orchestration tools.

Implement responsible AI practices including bias detection, hallucination mitigation, and explainability.

Monitor and optimize model performance, latency, and cost.

Use techniques like quantization, distillation, and caching to improve efficiency.\n","Benefits:

Bonus based on performance

Dental insurance

Health insurance

Vision insurance

Qualifications...","Lead Gen AI Engineer",[530],{"_458":459,"_454":531,"_452":532,"_456":533,"_460":534},"Plano","Plano, TX, United States, 75086","TX","75086",["B","2833136862"],"Work at CCS Corp","/jobs/2833136862-lead-gen-ai-engineer","Plano, TX, United States","/jobs?keyword=CCS+Corp","/jobs?location=Plano%2C+TX%2C+United+States","/jobs?keyword=Lead+Gen+AI+Engineer",{"_435":434,"_439":543,"_470":471,"_462":544,"_248":545,"_446":546,"_433":434,"_113":547,"_437":199,"_438":199,"_472":471,"_448":199,"_449":548,"_431":550,"_473":551,"_436":120,"_487":552,"_478":553,"_489":547,"_490":484,"_492":554,"_494":495,"_496":555},["D",1773835200000],"Ztek Consulting","Experience Required: 15-25 + Years\nMust Have Technical/Functional Skills\nMandatory Skills:\n1. GenAI Application Development Expertise

Languages & Libraries: Python, Data Engineering, OSS LLMs (Llama2, Mixtral, GPT-Neo, GPT-J)

Tokenization & Frameworks: Tokenizers (SentencePiece, Hugging Face Tokenizers), Fine-tuning Frameworks (Hugging Face Transformers, PyTorch Lightning)

Infrastructure & CI/CD: DevOps, Kubernetes, Docker, Git, Jenkins, GitLab, GitHub Actions

Monitoring & Management: Ray, SeldonCore, MLFlow, MLServer, Triton, BentoML, Prometheus, Grafana

4. Data Engineering for AI Applications

Workflow Automation: Apache Airflow, dbt, Apache NiFi, Fivetran, Airbyte, Great Expectations

5. AI-Ready Cybersecurity Knowledge

Threat Modeling & Security: AI-Specific Threat Modeling Tools, Secure ML Pipeline Tools, API Security Tools

Monitoring & Prevention: AI Security Monitoring Tools, Prompt Injection Prevention Libraries, Adversarial Example Detection Libraries

6. GenAI Guardrails and Ethics

Ethics & Fairness: AI Ethics Frameworks and Tools, Bias Detection and Mitigation Tools, Fairness Metrics Libraries

Privacy & Security: Privacy-Preserving Machine Learning Libraries, Robustness and Security Tools

Transparency & Governance: Model Interpretability Libraries, AI Governance Frameworks and Tools

Candidate will be working in AI Engineering group, which is collectively responsible for product developments and AI-infused automations.

Candidates need to lead the solution design discussion and arrive at best-in-class architecture by assessing all the pros

and cons across multiple technologies. Build design documentation and implementation.

#J-18808-Ljbffr\n","Experience Required: 15-25 + Years\nMust Have Technical/Functional Skills\nMandatory Skills:\n1. GenAI Application Development Expertise

Lang...","Gen AI Architect",[549],{"_458":459,"_454":455,"_452":453,"_456":457,"_460":461},["B","2851807350"],"Work at Ztek Consulting","4 days ago","/jobs/2851807350-gen-ai-architect","/jobs?keyword=Ztek+Consulting","/jobs?keyword=Gen+AI+Architect",{"_435":434,"_439":557,"_470":471,"_462":558,"_248":559,"_446":560,"_433":434,"_113":561,"_437":199,"_438":199,"_472":471,"_448":199,"_449":562,"_431":567,"_473":568,"_436":120,"_487":488,"_478":569,"_489":561,"_490":570,"_492":571,"_494":572,"_496":573},["D",1773079200000],"E-Solutions","Role: Gen AI Lead

Location: Dallas, TX (Hybrid)

Mandatory Skills-Gen AI/Agentic AI /ML

JOB DESCRIPTION:\nKeywords: AI/ML Development, Generative AI, LLMs, Python, Web Frameworks, MLOps, Data Engineering

Role Overview:\nSr AI/ML Lead with around 15+ years of hands-on experience in developing and implementing Machine Learning and Generative AI solutions. The role involves designing, developing, and deploying end-to-end AI/ML applications using Python, popular ML frameworks, and modern web technologies.\nTECHNICAL SKILLS: Must Have Skills\nMachine learning development lifecycle - (Data preparation, Data visualization, Statistical Analysis, feature engineering, Predictive modeling, Model deployment, Model monitoring), CI/CD, MLOps, Generative\nAI, Causal Inference, Time series analysis, Forecasting, Anomaly detection, Hypothesis testing, A/B testing, Git Actions, Tableau, Power BI, ThoughtSpot, Web Scraping\nData & Engineering - SQL, MySQL, Postgres, Spark, S3, Trino, Data Factory, ETL, Data pipelines, Databricks and distributed computing.\nProgramming Languages: SQL, Pyspark, Scala, R, Python, SAS\nGen AI & Agents - Prompt Engineering, RAG, Vector DB, Agentic Frameworks, MCP, Large Language Models (LLMs),LangChain, LangGraph, Explainable AI, Conversational AI, Chat bots and Tuning, LLM Evaluations and Cost monitoring, HuggingFace\nTools/Framework: Git, TensorFlow, PyTorch, PySpark, AWS, MLflow, Docker, Kubernetes, Databricks, SparkSQL, OpenCV, Azure, YOLO, Scikit-Learn, FastAPI, Flask, Django, Keras, Pandas, NumPy, Polars, SciPy, Matplotlib, Seaborn,Plotly, Streamlit\nCloud & MLOps: AWS Sagemaker, Azure ML, or GCP AI Platform; Git, Docker, CI/CD.\nRole Activities:

Design, develop, and deploy

AI/ML and Generative AI models

for enterprise and telecom use cases.\nBuild and optimize

data pipelines

for training, validation, and inference processes.\nDevelop

web-based AI applications

using frameworks like Flask, FastAPI, or Django.\nImplement

LLM-based solutions

such as chatbots, summarization, and RAG-based systems.\nCollaborate with data scientists, solution architects, and business teams to understand functional requirements and translate them into technical implementations.\nParticipate in

proof-of-concept (PoC)

development for AI/ML and automation use cases.\nConduct

model evaluation, fine-tuning, and performance optimization .\nWork with APIs, data sources, and cloud-based ML services (AWS, Azure, GCP).\nFollow best practices in

MLOps , model versioning, and CI/CD integration.\nPrepare technical documentation, training materials, and demo presentations.\nDomain Skills Requirements:

At least 10+ years of experience in AI/ML development and Python-based solutions for Telco/Retail Domains\nDesired Domain Experienced

Telecom BSS & OSS domain and understanding of fixed, mobile, IoT & convergence domains and related markets\nBusiness Systems (BSS)- Understanding of E2E BSS Solutions across Sales, Marketing, Finance, Product Management, Care areas for CSPs.\nKnowledge on data integration for telecom industry B/OSS COTS & Data Models ( Amdocs, NetCracker, CSG etc.)

Preferred Qualifications:

Certification in

AI/ML, Deep Learning, or Generative AI

is a plus.

","Role: Gen AI Lead

Location: Dallas, TX (Hybrid)

Mandatory Skills-Gen AI/Agentic AI /ML

JOB DESCRIPTION:\nKeywords: AI/ML ...","Gen AI Lead",[563],{"_458":459,"_454":564,"_452":565,"_456":533,"_460":566},"Dallas","Dallas, TX, United States, 75215","75215",["B","2833050369"],"Work at E-Solutions","/jobs/2833050369-gen-ai-lead","Dallas, TX, United States","/jobs?keyword=E-Solutions","/jobs?location=Dallas%2C+TX%2C+United+States","/jobs?keyword=Gen+AI+Lead",{"_435":434,"_439":575,"_470":471,"_462":576,"_248":577,"_446":578,"_433":434,"_113":561,"_437":199,"_438":199,"_472":471,"_448":199,"_449":579,"_431":581,"_473":582,"_436":120,"_487":488,"_478":583,"_489":561,"_490":570,"_492":584,"_494":572,"_496":573},["D",1773079200000],"Omni Inclusive","Gen AI Lead\nMandatory Skills: Gen AI/Agentic AI /ML\nJOB DESCRIPTION:\nKeywords: AI/ML Development, Generative AI, LLMs, Python, Web Frameworks, MLOps, Data Engineering

Role Overview:\nSr AI/ML Lead with around 15+ years of hands-on experience in developing and implementing Machine Learning and Generative AI solutions. The role involves designing, developing, and deploying end-to-end AI/ML applications using Python, popular ML frameworks, and modern web technologies.

TECHNICAL SKILLS: Must Have Skills

Machine learning development lifecycle - (Data preparation, Data visualization, Statistical Analysis, feature engineering, Predictive modeling, Model deployment, Model monitoring), CI/CD, MLOps, Generative\nAI, Causal Inference, Time series analysis, Forecasting, Anomaly detection, Hypothesis testing, A/B testing, Git Actions, Tableau, Power BI, ThoughtSpot, Web Scraping\nData & Engineering - SQL, MySQL, Postgres, Spark, S3, Trino, Data Factory, ETL, Data pipelines, Databricks and distributed computing.\nProgramming Languages: SQL, Pyspark, Scala, R, Python, SAS\nGen AI & Agents - Prompt Engineering, RAG, Vector DB, Agentic Frameworks, MCP, Large Language Models (LLMs),LangChain, LangGraph, Explainable AI, Conversational AI, Chat bots and Tuning, LLM Evaluations and Cost monitoring, HuggingFace\nTools/Framework: Git, TensorFlow, PyTorch, PySpark, AWS, MLflow, Docker, Kubernetes, Databricks, SparkSQL, OpenCV, Azure, YOLO, Scikit-Learn, FastAPI, Flask, Django, Keras, Pandas, NumPy, Polars, SciPy, Matplotlib, Seaborn,Plotly, Streamlit\nCloud & MLOps:

AWS Sagemaker, Azure ML, or GCP AI Platform; Git, Docker, CI/CD.\nRole Activities:

Design, develop, and deploy

AI/ML and Generative AI models

for enterprise and telecom use cases.\nBuild and optimize

data pipelines

for training, validation, and inference processes.\nDevelop

web-based AI applications

using frameworks like Flask, FastAPI, or Django.\nImplement

LLM-based solutions

such as chatbots, summarization, and RAG-based systems.\nCollaborate with data scientists, solution architects, and business teams to understand functional requirements and translate them into technical implementations.\nParticipate in

proof-of-concept (PoC)

development for AI/ML and automation use cases.\nConduct

model evaluation, fine-tuning, and performance optimization .\nWork with APIs, data sources, and cloud-based ML services (AWS, Azure, GCP).\nFollow best practices in

MLOps , model versioning, and CI/CD integration.\nPrepare technical documentation, training materials, and demo presentations.

Domain Skills Requirements:

At least 10+ years of experience in AI/ML development and Python-based solutions for Telco/Retail Domains\nDesired Domain Experienced

Telecom BSS & OSS domain and understanding of fixed, mobile, IoT & convergence domains and related markets\nBusiness Systems (BSS)- Understanding of E2E BSS Solutions across Sales, Marketing, Finance, Product Management, Care areas for CSPs.\nKnowledge on data integration for telecom industry B/OSS COTS & Data Models ( Amdocs, NetCracker, CSG etc.)

Preferred Qualifications:

Certification in

AI/ML, Deep Learning, or Generative AI

is a plus.

","Gen AI Lead\nMandatory Skills: Gen AI/Agentic AI /ML\nJOB DESCRIPTION:\nKeywords: AI/ML Development, Generative AI, LLMs, Python, Web Frameworks, MLOp...",[580],{"_458":459,"_454":564,"_452":565,"_456":533,"_460":566},["B","2833112547"],"Work at Omni Inclusive","/jobs/2833112547-gen-ai-lead","/jobs?keyword=Omni+Inclusive",{"_435":434,"_439":586,"_470":471,"_462":587,"_248":588,"_446":589,"_433":434,"_113":590,"_437":199,"_438":199,"_472":471,"_448":199,"_449":591,"_431":597,"_473":598,"_436":129,"_487":599,"_478":600,"_489":590,"_490":601,"_492":602,"_494":603,"_496":604},["D",1773336518000],"Neurealm","

AI Solution Architect

with deep expertise in Data Architecture, AI/ML platforms, and Generative AI solutions , to design and deliver scalable, secure, and enterprise-grade data and AI solutions on Google Cloud Platform (GCP) .

The ideal candidate will have strong hands-on experience across data lakehouse architectures, modern BI platforms, ML/MLOps, Conversational Analytics, Generative AI, and Agentic AI frameworks , and will work closely with business, data engineering, and AI teams to drive end-to-end AI-led transformation.

Design and own end-to-end data architectures including ingestion, processing, storage, governance, and consumption layers
Define scalable data platforms supporting batch, streaming, and real-time analytics
Establish data governance, metadata management, data quality, lineage, and security frameworks
Design ML/AI architectures supporting model training, deployment, monitoring, and lifecycle management
Define and implement MLOps frameworks (CI/CD for ML, feature stores, model registries, observability)
Collaborate with data scientists to productionize ML models at scale
Evaluate and recommend ML frameworks, tools, and best practices

Generative AI & Agentic AI

Architect and implement Generative AI solutions using LLMs (e.g., text, code, embeddings, multimodal use cases)
Design Conversational Analytics and AI-powered BI solutions
Build and evaluate Agentic AI platforms , including autonomous agents, orchestration frameworks, and tool integrations
Lead solution evaluations, PoCs, and vendor/tool assessments for GenAI and Agent-based systems

Business Intelligence & Analytics

Design modern BI and analytics platforms enabling self-service analytics and AI-driven insights
Integrate BI tools with data lakehouse and AI layers
Enable semantic layers, metrics definitions, and governed analytics
Lead architecture and solution design on Google Cloud Platform (GCP)
Utilize GCP services such as BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker, and IAM
Ensure architectures follow best practices for security, scalability, performance, and cost optimization

Stakeholder & Technical Leadership

Partner with business leaders to translate business requirements into AI-driven solutions
Lead technical design reviews and architecture governance
Mentor engineers, architects, and data scientists
Create architecture blueprints, reference architectures, and technical documentation

Required Skills & QualificationsCore Technical Skills

Strong experience in Data Architecture & Data Platforms
Hands-on expertise in Data Lakehouse architectures
Deep understanding of end-to-end data management
Experience with modern BI platforms and analytics ecosystems
Strong background in AI/ML architecture and MLOps
Proven experience in Conversational Analytics and Generative AI
Hands-on exposure to Agentic AI platforms, frameworks, and evaluations
Strong expertise in Google Cloud Platform (GCP)

Tools & Technologies (preferred)

GCP: BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker
MLOps: CI/CD, feature stores, model registries, monitoring tools
Data: SQL, Python, Spark, Kafka
BI: Looker, Tableau, Power BI (or equivalent)

Preferred Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
GCP Professional certifications (e.g., Professional Data Engineer, Professional ML Engineer, Cloud Architect)
Experience working in large-scale enterprise or consulting environments
Strong communication and stakeholder management skills

#J-18808-Ljbffr","

AI Solution Architect

with deep expertise in Data Architecture, AI/ML platforms, and Generative AI solutions , to de...","Enterprise Solutions Architect (AI)",[592],{"_458":459,"_454":593,"_452":594,"_456":595,"_460":596},"Santa Ana","Santa Ana, CA, United States, 92725","CA","92725",["B","2935780436"],"Work at Neurealm","10 days ago","/jobs/2935780436-enterprise-solutions-architect-ai","Santa Ana, CA, United States","/jobs?keyword=Neurealm","/jobs?location=Santa+Ana%2C+CA%2C+United+States","/jobs?keyword=Enterprise+Solutions+Architect+%28AI%29","actionData","errors"]