CrawlJobs Logo

Machine Learning/AI Engineer

https://www.roberthalf.com Logo

Robert Half

Location Icon

Location:
United States , St. Louis, MO

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

We are seeking a Machine Learning/AI Engineer to join our growing team in St. Louis, MO. This role focuses on designing and developing scalable machine learning and artificial intelligence models that help organizations streamline operations, gain business insights, and innovate across services. You will collaborate closely with cross-functional partners to build, deploy, and maintain advanced ML/AI solutions that address real-world challenges.

Job Responsibility:

  • Design, develop, and deploy machine learning and AI models for various business applications, from natural language processing to predictive analytics
  • Collaborate with data engineers and business stakeholders to acquire data, define project requirements, and implement robust solutions
  • Integrate ML models into cloud platforms and existing product infrastructures
  • Monitor, evaluate, and improve model performance with a focus on scalability, reliability, and accuracy
  • Assist in the creation of new data pipelines, automation systems, and APIs that enhance data-driven decision-making
  • Document processes, models, and workflows and provide support and training to peers as needed
  • Keep up to date with the latest advancements in AI/ML technologies and recommend best practices and tools

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience
  • Proven experience with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn) and proficiency in Python or similar languages
  • Familiarity with cloud computing platforms (AWS, Azure, or Google Cloud)
  • Strong understanding of statistics, data structures, and algorithms
  • Experience with data wrangling, feature engineering, and deployment of ML models in production environments
  • Excellent problem-solving, analytical, and communication skills

Nice to have:

Relevant certifications (e.g., IBM AI Engineering Professional Certificate, Microsoft Certified Azure Solutions Architect)

What we offer:
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan

Additional Information:

Job Posted:
January 16, 2026

Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Machine Learning/AI Engineer

Machine Learning/AI Research Engineer

Machine Learning/AI Research Engineer position focusing on advancing renewable o...
Location
Location
Ireland , Galway; Dublin
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD degree (or Master's with equivalent research and innovation experience) in a relevant discipline (e.g., computer science, software engineering, electrical engineering, math, physics, statistics, mechanical engineering, etc.)
  • Proven record of innovation with Deep Learning or with scientific and engineering computation involving the application of Machine Learning
  • Demonstrated experience with innovative solution development, developing proofs-of-concept, first-of-a-kind solutions, and technology transfer
  • Strong software development skills in Python and Pytorch
  • Strong application experience of Machine Learning with physical systems
  • Good understanding of digital twins, use of ML with Digital Twins, applications to sustainability
  • A strong science or engineering background with aptitude for system level analysis and modeling
  • Deep understanding of the relevant environment, ecosystem, trends, and literature
  • Excellent research and development skills
  • Ability to innovate, make research contributions, and bring ideas to reality in compelling ways
Job Responsibility
Job Responsibility
  • Develop and program integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications
  • Work with large scale computing frameworks, data analysis systems, and modeling environments
  • Use machine learning and statistical modeling techniques to improve product/system performance
  • Formulate descriptive, diagnostic, predictive and prescriptive insights/algorithms and translate technical specifications into code
  • Apply, optimize and scale deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations
  • Document procedures for installation and maintenance, complete programming, perform testing and debugging, define and monitor performance metrics
  • Provide thought leadership and technical influence internally and externally
  • Take innovative ideas and make them real – contributing along the full range from conception, to design, development, implementation, evaluation, and technology transfer
  • Collaborate with Hewlett Packard Labs' research teams and external partners
What we offer
What we offer
  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Unconditional Inclusion environment
  • Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
  • Fulltime
Read More
Arrow Right

Machine Learning Engineer

The Machine Learning Engineer is a practitioner and advocate of state-of-the-art...
Location
Location
Portugal , Oporto; Lisbon; Funchal; Ponta delgada
Salary
Salary:
Not provided
https://www.tui.com Logo
TUI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in designing, implementing, deploying and using various AI models and algorithms
  • Experience in deploying AI solutions (e.g. CI/CD pipeline, API development, containers)
  • Strong programming skills in Python
  • Understanding of machine learning/AI frameworks and libraries
  • Hands-on experience with cloud technologies and services (e.g., AWS, Azure, Google Cloud)
  • Experience with SQL and/or Snowflake
  • Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph)
  • Proficiency in data preprocessing and feature and/or prompt engineering
  • Customer-focused engineer with a passion for crafting high-quality digital products, continuous improvement, and effective team collaboration
  • Strong problem-solving and communication skills, with an understanding of the social, legal, and ethical impact of AI technologies
Job Responsibility
Job Responsibility
  • Deliver solutions that challenge the status quo, taking full responsibility for your AI solutions from design to operation
  • Collaborate with your team to enable AI engineering skills and capabilities across TUI Group
  • Research, evaluate, and test new approaches, processes, and tools
  • Participate in Communities of Practice and collaborate on shared initiatives
  • Build and maintain self-build segmentation models
  • Lay the foundation for data science driven decision making and personalised offers
  • Deliver innovative and inspiring customer experiences in TUIs digital channels
What we offer
What we offer
  • Attractive remuneration
  • Bonus opportunity
  • Exclusive travel perks & discounts
  • Extensive health & wellbeing support
  • Flexible working models
  • Opportunities to upskill, reskill and grow your career
  • Access to TUI Tech Learning Hub
  • Participation in tech communities and collaboration on global projects and teams
  • Involvement with local charity and sustainability initiatives
  • Fulltime
Read More
Arrow Right

Machine Learning Ops Engineer

The Customer AI & Rapid Prototyping department stands at the forefront of digita...
Location
Location
Portugal , Oporto; Lisbon; Funchal; Ponta delgada
Salary
Salary:
Not provided
https://www.tui.com Logo
TUI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in productionising and using various AI models and algorithms
  • Experience in deploying AI solutions using CI/CD pipelines, API development and containers
  • Strong programming skills in Python
  • Understanding of machine learning/AI frameworks and libraries
  • Hands-on experience with cloud technologies and services (e.g., AWS, Azure, Google Cloud)
  • Experience with monitoring and log collection systems (e.g. DataDog)
  • Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph)
  • Customer-focused engineer with a passion for crafting high-quality digital products, continuous improvement, and effective team collaboration
  • Strong problem-solving and communication skills, with an understanding of the social, legal, and ethical impact of AI technologies
Job Responsibility
Job Responsibility
  • Develop, implement, and maintain machine learning models and algorithms
  • Work closely with cross-functional teams to integrate ML solutions into production systems
  • Monitor and optimize the performance of deployed AI models
  • Collaborate with engineering colleagues on AI-related tasks to deliver impactful, data-driven solutions
  • Research, evaluate, and test new approaches, processes, and tools
What we offer
What we offer
  • Attractive remuneration
  • bonus opportunity
  • exclusive travel perks & discounts
  • extensive health & wellbeing support
  • Flexible working
  • hybrid or remote working models
  • Opportunities to upskill, reskill and grow your career
  • Access the TUI Tech Learning Hub
  • Participate in our tech communities and collaborate on global projects and teams
  • Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation and the Sustainable Tech Community
  • Fulltime
Read More
Arrow Right
New

Data Scientist

At TRKKN, we are driven by the excitement of taking our client's data-driven bus...
Location
Location
Portugal , Lisbon
Salary
Salary:
Not provided
trkkn.com Logo
Trakken GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Holds a Master’s degree in mathematics, statistics, physics, data science, computer science or a comparable educational background
  • Has professional experience of at least 2 years in analytics, machine learning or AI
  • Is proficient in Python and SQL
  • Has deep knowledge of statistical techniques and machine learning
  • Is customer-oriented and a strong analytical thinker
  • Has knowledge in technical and methodological aspects of running ML models in production
  • Is a strong storyteller and can effectively communicate technical concepts to non-technical clients and colleagues
  • Is a native speaker in Portuguese and fluent in written and spoken English (min. C1)
Job Responsibility
Job Responsibility
  • Solving complex business challenges by means of advanced analytics, predictive modeling, machine learning/AI or other statistical modeling
  • Developing and deploying minimally viable products
  • Consulting clients in the area of data science/ML/AI
  • Continuous collaboration with other technical departments such as Cloud Engineers, Solution Architects, etc. to facilitate deployments
What we offer
What we offer
  • Competitive salary
  • Knowledge sharing & company events
  • Personal development plan & leadership training
  • Hybrid work model
  • Choose your own device
Read More
Arrow Right

AI Engineer

AI Engineer - Job Description
Location
Location
Vietnam , Ho Chi Minh
Salary
Salary:
Not provided
nois.vn Logo
New Ocean IS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Artificial Intelligence, or related field (equivalent experience accepted)
  • 2+ years of experience working AI Engineer
  • Proficient in Python and familiar with ML/AI frameworks and models
  • Hands-on experience building and deploying ML/AI models in production
  • Strong ability to work independently: from research and prototyping to implementation and testing
  • Solid problem-solving and communication skills
  • Experience working with Cloud services
  • And be strong and has experience in one of the two areas: Design, build and optimize virtual assistants using LLM models from OpenAI or other providers. Can use LLM orchestration frameworks and LLM monitoring tool LangSmith. And also built and optimize LLM for RAG with high accuracy
  • Experience using ML/AI models to do tasks like PdM, prediction, classification, …
  • Good communication skill in Vietnamese and English (written and spoken)
Job Responsibility
Job Responsibility
  • Design, develop, and deploy machine learning/AI models to solve real-world problems
  • Collaborate with data scientists, product managers, and software engineers to turn prototypes into scalable AI services
  • Evaluate and select appropriate algorithms and model architectures (classification, regression, clustering, recommendation, etc. or suitable chatbot models)
  • Fine-tune and optimize models for accuracy, latency, and cost
  • Stay up to date with the latest research and trends in AI/ML and integrate them when relevant
  • Work with LLMs (GPT, etc.) & Agent framework
  • Using LLMorchestration framework like Langchain and Langgraph
  • Using LLM monitoring tool LangSmith
  • Collaborate with product, backend, and infrastructure teams to deliver end-to-end AI solutions
  • Take ownership of assigned modules or projects and deliver results independently
What we offer
What we offer
  • Vietnam labor regulations
  • Healthy Insurance
  • Competitive and high salary
  • Review salary twice a year (April and October (exceptional))
  • 13th month-salary
  • Reward of the end the year
  • Raised on for achieving English and Technical certificates
  • Career Path clearly
  • Projects in many domain
  • Everyone is willing to support each other
  • Fulltime
Read More
Arrow Right
New

Data Engineer

Join us as a Data Engineer at Barclays, where you'll spearhead the evolution of ...
Location
Location
India , Pune
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Core Ab Initio Skills: GDE (graphs, XFR, plans, PSETs, DQE)
  • EME (versioning, branching, tagging)
  • Conduct‑IT / Control Center
  • Continuous Flows, PDL, metadata‑driven design
  • Big Data Skills: Hadoop Ecosystem: HDFS, Hive, Yarn, MapReduce basics
  • Optional/Good to Have: Spark (PySpark/Scala)
  • HBase
  • Kafka streaming interfaces
  • Strong knowledge of distributed computing concepts (partitions, parallelism, memory tuning)
  • Databases & Languages: SQL (HiveQL, Teradata, Oracle)
Job Responsibility
Job Responsibility
  • Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement
  • Designing and building data pipelines to automate data movement and processing
  • Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI
  • Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements
  • Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function
  • Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
  • Consult on complex issues
  • providing advice to People Leaders to support the resolution of escalated issues
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda
What we offer
What we offer
  • Hybrid working
  • Structured approach to hybrid working with fixed 'anchor' days
  • Supportive and inclusive culture and environment
  • Flexible working arrangements can be discussed
  • Opportunities for colleagues to innovate, collaborate, and deliver great outcomes
  • Welcoming and inclusive culture supports you to bring your whole self to work, explore your potential and pursue your passions
  • Environment-friendly, ultra-modern workplace with excellent facilities for work, socialising and leisure
  • Fulltime
Read More
Arrow Right
New

Data Analyst

Join us as a Data Analyst at Barclays, where you'll spearhead the evolution of o...
Location
Location
India , Pune
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep Expertise in Data Governance
  • Strong command over Metadata Management, Business & Technical Data Lineage, Data Mapping, and Data Quality Controls design and lifecycle management
  • Requirements Elicitation & Documentation Excellence
  • Proven capability in conducting structured requirements gathering, performing gap analysis, and producing clear, comprehensive BRDs, FRDs, user stories, and process documentation
  • End‑to‑End BA Ownership
  • Demonstrated experience managing the full BA lifecycle, from stakeholder engagement and requirement definition to delivery, sign‑off, and post‑implementation support
  • Primary Bridge Between Business, Data, and Technology
  • Acts as the key liaison ensuring alignment across business SMEs, data SMEs, engineering, and governance teams
  • drives clarity and ensures a shared understanding of requirements
  • Proficiency in MS Office & Analytical Tools
Job Responsibility
Job Responsibility
  • Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement
  • Designing and building data pipelines to automate data movement and processing
  • Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI
  • Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements
  • Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs
What we offer
What we offer
  • Hybrid working
  • Structured approach to hybrid working with fixed, ‘anchor’, onsite days
  • Supportive and inclusive culture and environment
  • Opportunities to innovate, collaborate, and deliver great outcomes
  • Welcoming and inclusive culture that supports you to bring your whole self to work
  • State-of-the-art technology hub with excellent facilities for work, socialising and leisure
  • Fulltime
Read More
Arrow Right

Data Analyst

Join us as a Data Analyst at Barclays where you'll spearhead the evolution of ou...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Banking Domain Knowledge preferably collection and recovery lending
  • Writing Complex SQL Scripting, and strong Data Profiling
  • Create source to target mapping and support Data Engineers in developing code
  • Working knowledge on Warehousing projects
  • Teradata / Oracle / Bigdata / Cloud Concepts
  • Working knowledge on Data Modelling Tool
Job Responsibility
Job Responsibility
  • Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement
  • Designing and building data pipelines to automate data movement and processing
  • Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI
  • Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements
  • Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs
What we offer
What we offer
  • modern workspaces, collaborative areas, and state-of-the-art meeting rooms
  • wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations
  • flexible working arrangements
  • hybrid working
  • Fulltime
Read More
Arrow Right