AI Jobs

Benefits:

• bonus

• supportive environment

• high-spirited environment

Education Requirements:

• Prince2 certification

• Agile certification

Experience Requirements:

• Minimum 3 years as a Project Manager

• Proven delivery of medium/large-scale complex digital projects

• Experience with MS Project or similar

Other Requirements:

• advanced MS Office

• leadership for cross-functional teams

• healthcare/contact centre experience (desirable)

Responsibilities:

• Manage full project lifecycles using ARC, Prince2, or Agile

• Develop project plans, schedules, and budgets

• Identify and mitigate risks/issues

• Facilitate meetings/workshops for stakeholder input

• Coordinate teams and ensure role clarity

Benefits:

• bonus

• mentorship from the Head of Transformation

• professional development toward certifications

• exposure to cutting-edge tools like RPA

Education Requirements:

• relevant degree (desirable)

• IIBA ECBA/CBAP (desirable)

• BCS (desirable)

• PMI-PBA (desirable)

• Lean Six Sigma Green Belt (desirable)

Experience Requirements:

• Proven business analysis experience in transformation/change programs

• systems thinking for holistic analysis

• competent in requirements techniques (BPMN/swim lanes, user stories)

• Agile/Scrum/Prince2

• change frameworks (ADKAR/Prosci)

Other Requirements:

• Proficiency in Excel, SQL basics, Power BI

• experience with RPA, low-code, CRM platforms

• comfort in clinical/operational settings

Responsibilities:

• Conduct structured discovery to map current-state processes

• Elicit, analyse, and document business requirements

• Perform data analysis with tools like Excel and SQL

• Engage stakeholders via workshops and interviews

• Support change enablement and UAT

Benefits:

• Double OTE (£150,000 - £240,000)

Experience Requirements:

• 8+ years experience in B2B SaaS or software sales

• Proven experience selling into mid-market and enterprise

• Experience running structured, multi-stakeholder sales cycles

Other Requirements:

• Strong discovery skills

• Commercially sharp

• Background in AI, data, or SaaS preferred

Responsibilities:

• Driving new business across mid-market and enterprise

• Owning sales strategy and pipeline end-to-end

• Leading full sales cycle from demos to contract close

• Engaging senior decision makers and running discovery

• Building long-term CXO-level relationships

Benefits:

• Competitive salary

• Performance-based advancement

• Paid time off (PTO)

• Health benefits

• 401(k) with employer match

Education Requirements:

• Bachelor's or Master's degree in Electrical Engineering, Control Systems Engineering, or a related field.

Experience Requirements:

• At least 5 years of relevant experience

• Knowledge of control system principles and algorithms

• Proficiency in C/C++, MATLAB, or Python

• Experience with PLCs, DCS, and SCADA

• Familiarity with control system modeling tools

Other Requirements:

• Willingness to travel approximately 30%

• Ability to lift 50-70 lbs. unassisted

Responsibilities:

• Conduct analysis of system requirements

• Design control systems and develop algorithms

• Collaborate with teams to define system architectures

• Develop control strategies using programming tools

• Configure control hardware (sensors, actuators, PLCs)

Experience Requirements:

• 5+ years of professional experience in software engineering or data engineering

• Strong programming skills in Python and Golang

• Deep understanding of SQL and modern data lake architectures

• Hands-on experience with AWS services

• Proficiency with Terraform

Other Requirements:

• S3

• Lambda

• Glue

• Kinesis

• Athena

• RDS

• Argo Workflows

• Parquet

• Iceberg

• Delta Lake

• Kafka

• IaC

Responsibilities:

• Design and build high-throughput data ingestion pipelines

• Implement secure data lake and SQL-based storage architectures

• Develop internal tools and frameworks using Python and Golang

• Collaborate cross-functionally to define data contracts and schemas

• Manage infrastructure using Terraform and AWS services

Education Requirements:

• M.S. or Ph.D. in Computer Science, AI, Machine Learning, or a related field

• Specialization in NLP or deep learning

Experience Requirements:

• 5+ years of experience in machine learning or AI

• Focus on NLP, LLMs, or conversational AI

• Experience building production grade RAG pipelines

• Fluency with prompt engineering or instruction tuning

• Deep understanding of document retrieval and vector stores

Other Requirements:

• LangChain

• LlamaIndex

• FAISS

• Weaviate

• Pinecone

• PyTorch

• Hugging Face

• LLAMA

• Mistral

• Claude

• GPT

• Agentic RAG

Responsibilities:

• Lead architecture and development of RAG systems

• Develop AI-powered assistants for industrial troubleshooting

• Build pipelines to ingest and index large document corpora

• Fine-tune foundational models for domain-specific logic

• Design evaluation strategies for system performance

Education Requirements:

• M.S. or Ph.D. in Electrical Engineering, Computer Science, or related field

• Focus on signal processing, time-series analysis, and machine learning

Experience Requirements:

• 5+ years developing signal processing and ML solutions for sensor data

• Track record of bringing at least one ML solution to market

• Deep understanding of digital signal processing (DSP) methods

• Experience with RNNs, LSTMs, and temporal convolutional networks

• Experience with physical sensors like IMUs and microphones

Other Requirements:

• PyTorch

• TensorFlow

• Keras

• FFT

• Filtering

• Activity recognition

• Anomaly detection

• Edge deployment

Responsibilities:

• Design real-time signal processing and ML pipelines

• Develop models for classification, prediction, and pattern analysis

• Research and implement RNN and temporal transformer architectures

• Collaborate with hardware and embedded teams for integration

• Optimize signal-processing techniques for model input quality

Experience Requirements:

• 6+ years of experience in building and leading engineering teams

• Knowledge of the full life-cycle of product development

• Track record of transforming enterprise technology processes

• Experience with technology operations and cloud-based technologies

• Deep hands-on technical skills

Other Requirements:

• Software, hardware, and firmware solutions

• Matrix organization

• Agile

• Linux

• Docker

Responsibilities:

• Own the overall development life cycle of the solution

• Plan project phases from idea to closure

• Develop logical solutions to business problems

• Work with product team on strategy and roadmaps

• Team with senior engineers on technical design

Education Requirements:

• BS/MS in Computer Science or equivalent practical experience

Experience Requirements:

• 4+ years of experience with Swift or Objective-C

• 3+ years developing native iOS Applications shipped to production

• Experience with Git, Github, Pull Requests, and Rebasing

• Experience with reactive platforms and functional design patterns

• Experience building reusable libraries and SDKs

Other Requirements:

• Swift UI

• Core Bluetooth

• Combine

• REST

• GraphQL

• CI/CD

• Metal

• Unity

Responsibilities:

• Lead architecture and design of the iOS client platform

• Collaborate with cloud developers and designers

• Mentor other developers and contractors

• Prototype new concepts to inform final implementations

• Automate tasks and quality checks using CI/CD

Education Requirements:

• Bachelor's or Master's degree in Electrical Engineering

Experience Requirements:

• Over 7 years of hands-on experience in circuit board design

• Knowledge in embedded system design and debugging

• Experience in selecting and configuring camera sensors

• Experience designing digital interfaces (MIPI, USB, I2C)

• Regulatory experience with FCC and PTCRB

Other Requirements:

• Altium

• Cadence

• ARM CPUs

• LTE

• Bluetooth

• Wi-Fi

• Oscilloscopes

• Spectrum analyzers

Responsibilities:

• Define hardware system features and interfaces

• Lead lifecycle of hardware projects from concept to production

• Create circuit schematics and PCB layouts

• Design and simulate analog and digital circuits

• Provide support to software engineering for troubleshooting

Education Requirements:

• Bachelors or foreign academic equivalent in Electrical and Computer Engineering, Computer Science, Electrical/Electronic Engineering or a related field

Experience Requirements:

• 3+ years of experience in software development positions

• 3+ years of experience working with Linux/Unix, Bash, ETL, SQL, Apache Spark, Docker and Terraform

Other Requirements:

• Design and build high-performance microservices based applications that run on AWS using Python, Linux/Unix, Bash, Docker, Terraform, and the Elastic Kubernetes Service (EKS)

• Develop data ETL processing and analytics workflows using tools like Apache Spark, Argo, and Kubernetes

• Design relational database schemas using PostgreSQL and queries using SQL and GraphQL

• Work with the Product Management team to align features with customer needs and address their problems effectively

• Build integrations with third-party APIs that enable high-value customer experiences

Responsibilities:

• Work with the Engineering team to architect and build horizontally scalable, resilient, high throughput data pipelines

• Conduct proof of concept activities with customers

• Design and build high-performance microservices based applications that run on AWS

• Develop data ETL processing and analytics workflows

• Design relational database schemas using PostgreSQL and queries using SQL and GraphQL

Education Requirements:

• Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.

Experience Requirements:

• 3+ years of hands-on experience in deep learning, with a strong focus on sequence modeling and time-series forecasting.

• Practical experience deploying ML models in production environments, with knowledge of MLOps best practices.

Other Requirements:

• In-depth expertise in Transformer architectures and their applications beyond natural language processing.

• Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.

• Solid mathematical foundation in statistics, optimization, and signal processing.

• Strong publication track record in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR).

Responsibilities:

• Design and implement Transformer-based architectures for time-series prediction and sequence modeling

• Drive the full machine learning lifecycle—from exploratory data analysis to model deployment

• Conduct rigorous benchmarking, ablation studies, and performance optimization

• Collaborate closely with data scientists, engineers, and product managers

• Partner with software engineers to scale and productize ML algorithms

Education Requirements:

• BS in Computer Science, Electrical Engineering, Machine Learning, or related technical field

• MA/PhD

Experience Requirements:

• 6 years of experience (BS) or 4 years of experience (MA/PhD)

• 3+ years building production-ready ML infrastructure

Other Requirements:

• Proficiency in one or more modern programming languages such as Python, C++, or Java

• Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks

• Solid understanding of software engineering best practices: version control (Git), unit testing, code review, and CI/CD

• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)

• Development experience in a cloud service environment such as Amazon AWS, MS Azure, or Google Cloud Platform

Responsibilities:

• Collaborate with AI Scientists to understand model requirements and design scalable, efficient ML pipelines

• Build and maintain reliable, performant infrastructure for data processing, model training, evaluation, and deployment

• Own the end-to-end implementation of ML systems from research prototypes to production-grade code

• Optimize model training/inference, latency, and resource usage

• Develop monitoring, observability, and CI/CD tooling

Experience Requirements:

• Extensive practical experience in manufacturing custom harnesses for automotive or similar applications.

• Demonstrated expertise in sealed and un-sealed connectors, including but not limited to TE, Amphenol, Molex, Yazaki, Aptiv, Delphi, etc…

• Hands-on proficiency in wire stripping, crimping, splicing, and harness dressing to a class 2 of IPC/WHMA-620 standard.

• Practical experience with wiring tailored to various communication protocols such as CAN, Serial, LIN, RF, and Ethernet.

• Ability to interpret electrical schematics generated from CAD tools like Altium, Cadence, Kicad, or similar software.

Other Requirements:

• Skilled in using hand and power tools, as well as workshop equipment like drill presses, band saws, etc.

• Proven experience with task tracking tools such as JIRA, Asana, Monday, or similar platforms.

• Comfortable working with Linux OS and using Linux command lines.

• Must be fluent in English, both spoken and written.

• Willingness to travel domestically and internationally up to 10%.

Responsibilities:

• Manufacturing, validating, and integrating 1st harness articles on next-gen vehicles.

• Interacting daily with engineers.

• Designing complex harnesses that meet automotive-quality standards.

Experience Requirements:

• Strong software engineering skills in C, C++, or Python (production-quality code)

• Deep understanding of modern robotics control systems

• Experience with learning-based control or policy optimization for real-world systems

• Comfort working close to hardware and real-time constraints

Responsibilities:

• Design and implement learning-based control approaches (imitation learning, reinforcement learning, hybrid MPC + learning)

• Reduce dependence on hand-tuned control parameters through data-driven methods

• Integrate learned controllers into the existing vehicle control stack safely and incrementally

• Define interfaces between classical control (MPC, PID, state estimation) and learning-based components

• Establish validation criteria for learned control policies before real-vehicle deployment

Experience Requirements:

• 4+ years of professional full-stack development (Python + React/TypeScript)

• Strong backend fundamentals: REST API design, authentication, database modeling

• Production AWS experience (Lambda, EC2, S3, DynamoDB, or comparable services)

• DevOps experience: CI/CD pipelines, deployment automation, and production operations

• Demonstrated ability to own and ship products end-to-end with minimal oversight

Other Requirements:

• Comfortable working in office in Palo Alto, CA

Responsibilities:

• Own the architecture and development of customer-facing dashboards and internal tools

• Consolidate and harden a landscape of full-stack applications into maintainable, well-tested production services

• Define and enforce engineering standards: API design, code quality, testing, CI/CD, and deployment practices

• Build and maintain backend services in Python and Node.js on AWS

• Develop responsive frontend experiences in React with TypeScript

Experience Requirements:

• 2+ years in MLOps / Infra / ML Platform

• Deep experience with PyTorch, CUDA-aware workflows

• Strong Linux + systems fundamentals

• Proven experience deploying models at scale (not just notebooks)

Responsibilities:

• Design and operate end-to-end ML infrastructure: training, evaluation, deployment, monitoring

• Build CI/CD for ML (model versioning, promotion, rollback, canarying)

• Own model observability: drift detection, performance regression, data health

• Optimize GPU utilization across training and inference (on-prem + cloud)

• Support edge deployment (Jetson / Orin / x86 + GPU)

Experience Requirements:

• 7+ years of enterprise SaaS, AI, or technology sales experience

• Proven success selling contact center, CX, CCaaS, or operations technology

• Track record of consistently achieving or exceeding $1M+ ARR quotas

• Deep familiarity with enterprise buying cycles, procurement, and security requirements

• Demonstrated success managing multi-stakeholder $500K+ ARR enterprise deals

Other Requirements:

• Strong executive presence and ability to influence C-suite stakeholders

• High energy, self-starter mindset, and ability to thrive in a fast-growth, category-creating environment

• Willingness to travel

Responsibilities:

• Build and close new business with large enterprise organizations and global services partners

• Drive multi-stakeholder sales cycles with executives in CX, Operations, IT, and Revenue

• Navigate enterprise security and procurement processes, ensuring trust in Sanas’ platform

• Contribute to the enterprise sales playbook — documenting sales motions, objection handling, and ROI proof points

• Achieve $1.5M+ in new ARR annually, with a mix of direct contracts and partner-led engagements

Benefits:

• Medical, dental, and vision plans

• Wellbeing Fund

• Mental Health benefits

• 401(k) program

• Paid parental leave

Experience Requirements:

• 6+ months of relevant closing experience

• Outbound SDR/BDR experience

• Experience selling to FS, Healthcare, or Manufacturing

• SaaS and enterprise software experience ($20-$100K+ deals)

• Outbound prospecting into greenfield territory

Other Requirements:

• Located in Salt Lake City

• Willing to come into office 3 days a week

Responsibilities:

• Manage prospects from lead to close

• Provide exceptional customer experience

• Articulate and demonstrate value proposition

• Cultivate lasting relationships

• Maintain weekly sales forecast

Education Requirements:

• MBA from a top program is preferred

Experience Requirements:

• 8+ years in venture capital, startup operating, M&A, or related investing roles

• Demonstrated success sourcing and closing deals

• Deep relationships in the Bay Area / Silicon Valley investor community

Other Requirements:

• Familiarity with sectors such as AI, Web3, fintech, or embedded payments

• Strong relationships with founders, VCs, and technical talent

• Comfortable with both high-level strategy and hands-on execution

• Strong verbal and written communication skills

Responsibilities:

• Oversee all facets of Pi Network Venture’s operations

• Source, evaluate, and execute new investment opportunities

• Cultivate relationships with founders, co-investors, and ecosystem partners

• Organize, host, and attend events, summits, and deal-flow mixers

• Coordinate cross-functional collaboration and report into leadership