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Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead technical direction and people management for an AI/ML engineering squad. Design, build, and deploy production-grade ML and Generative AI solutions (LLMs, RAG, agentic systems), drive MLOps/CI-CD, ensure Responsible AI and HIPAA-compliant practices, conduct architecture/code reviews, and mentor engineers to deliver measurable business outcomes.
Top Skills:
Agentic AiCi/Cd For MlConversational AiDrift DetectionEmbeddingsGraph RagKnowledge GraphsKubeflowLimeLlmsLoraMlflowMlopsMulti-Agent SystemsNerPrompt EngineeringPythonRagShapText ClassificationTransformersWeights & Biases
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, and operate scalable data pipelines and AI-ready data products from large structured and unstructured sources (OCR/images/documents). Enable production Generative AI (RAG, semantic search), ensure data quality/observability, orchestrate CI/CD and infra-as-code, and mentor engineers while collaborating with product, analytics, and compliance teams.
Top Skills:
AirflowAWSAzureChartjsDatabricksDatabricksDeequDelta LakeDockerEvent HubsGCPGithub ActionsGreat ExpectationsJavaKafkaKinesisKubernetesLlmOcrPlotlyPysparkPythonRagScalaSeabornSemantic SearchSnowflakeSparkSQLTerraform
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Customer-facing, hands-on AI builder who shapes strategic pursuits, designs end-to-end AI/GenAI architectures, prototypes demos and proofs-of-value, mentors solution leads, supports RFPs, and partners with engineering for implementation and delivery rotations.
Top Skills:
Ai AgentsAi FrameworksGenaiLlmsPythonRag
PTP is a fast-growing system integrator that offers strategic Customer Experience (CX) solutions to our clients. We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude and creativity as well as experience. We are a diverse organization and are looking for bright, passionate, and committed professionals who strive to be the best at what they do.
Responsibilities
- Use machine learning techniques to create scalable solutions for business problems
- Analyze and extract key insights from rich stores of customer data
- Research and implement ML algorithms for a variety of business problems
- Automate processes for analyses, model development, validation, and implementation
- General application data and performance analysis
Requirements
- 2+ years experience with:
- Natural language processing (NLP)
- Free-text analytics
- Machine learning (ML) algorithms
- Predictive modeling and analysis
- Data visualization software (Tableau preferred)
- Familiarity with AWS SageMaker
- Strong programming skills in Python
- Experience with SQL and NoSQL databases
- Strong problem-solving ability
- Excellent written and verbal communication and skills
- Degree in Computer Science or related field
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
