AI Jobs

Education Requirements:

• BA/BS required, preferred in technical subject like Computer Science, Physics, Applied Math, or Electrical Engineering

Experience Requirements:

• Experience building performance dashboards

• Experience with novel hardware platforms

Experience Requirements:

• 10+ years of professional experience in C++ software development, with a focus on performance-critical applications.

Responsibilities:

• Design, implement, and optimize high-performance inference software for LLMs on custom hardware.

• Develop and fine-tune C++-based libraries that efficiently utilize SIMD instructions, threading, and memory hierarchy.

• Work closely with FPGA and systems engineers to design efficient data movement and computational offloading between x86 CPUs and FPGAs.

Experience Requirements:

• 10+ years of professional experience in C++ software development, with a focus on performance-critical applications.

Responsibilities:

• Design, implement, and optimize high-performance inference software for LLMs on custom hardware.

• Develop and fine-tune C++-based libraries that efficiently utilize SIMD instructions, threading, and memory hierarchy.

• Work closely with FPGA and systems engineers to design efficient data movement and computational offloading between x86 CPUs and FPGAs.

Experience Requirements:

• 7+ years of professional experience in C++ software development, with a focus on performance-critical applications.

Responsibilities:

• Design and implement high-performance inference software for LLMs on custom hardware.

• Develop and optimize C++-based libraries that efficiently utilize SIMD instructions, threading, and memory hierarchy.

• Work closely with FPGA and systems engineers to ensure efficient data movement and computational offloading between x86 CPUs and FPGAs.

Experience Requirements:

• 7+ years of professional experience in C++ software development, with a focus on performance-critical applications.

Responsibilities:

• Design and implement high-performance inference software for LLMs on custom hardware.

• Develop and optimize C++-based libraries that efficiently utilize SIMD instructions, threading, and memory hierarchy.

• Work closely with FPGA and systems engineers to ensure efficient data movement and computational offloading between x86 CPUs and FPGAs.

Experience Requirements:

• 3+ years

Experience Requirements:

• 1+ years

Experience Requirements:

• 3+ years

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Education Requirements:

• A Bachelor’s degree (or higher)

• Strong curiosity about how people think, express themselves, and how to distill, clarify, and label that information for AI and machine learning [applications](http://applications.Excellent).

Other Requirements:

• Excellent Communication Skills: Strong ability to communicate complex technical information clearly and concisely, both written and verbal.

• Technical Document Comprehension: Ability to read and understand technical documents, and annotate them with precision.

• Graph & Flowchart Creation: Hands-on experience in creating graphs, charts, and flowcharts to visualize technical data.

• Attention to Detail: A keen eye for ensuring accuracy in data annotation and visualization.

• Technical Aptitude: Comfortable working with technical information and turning it into easily understandable visuals.

• Flexible Working Hours: Availability to work flexible hours, primarily in the PST time zone.

• Immediate Availability: Must be able to start immediately and commit to the full 6-month contract.

Responsibilities:

• Document Review & Annotation: Thoroughly analyze technical documents, and accurately annotate key information and data points.

• Graph & Flowchart Creation: Translate complex technical specifications into clear and concise graphs and flowcharts, ensuring accuracy and clarity.

• Data Visualization: Develop graphs, charts, and other visual data representations to support documentation and aid in understanding.

• Collaboration: Work closely with technical teams to ensure correct representation of data and processes.

• Quality Control: Ensure all annotations and visual elements meet accuracy standards and align with the original documentation.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of experience in data science, with a focus on NLP and unstructured data processing.

• Proven track record of launching NLP-driven products to live users.

• Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.

• Experience with Transformer-based models (e.g., BERT, GPT).

• Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.

Other Requirements:

• Familiarity with data engineering pipelines and best practices.

• Proficiency in SQL for analytics and data manipulation.

• Excellent problem-solving skills and ability to work with large-scale datasets.

• Hands on experience in deployment

• Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Responsibilities:

• Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.

• Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.

• Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.

• Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.

• Perform advanced SQL analytics to extract actionable insights from structured datasets.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 4+ years of experience in data engineering, with a focus on building large-scale data systems. In-depth knowledge of ELT processes and Lakehouse architecture.

• Data Pipelines: Expertise in Python and Scala for data pipeline development. Proven experience with Apache Spark and Databricks for big data processing and analytics.

• Hands-on experience with observability tools like Prometheus, Grafana, and ELK stack/OpenSearch.

• Experience with real-time streaming systems such as Kafka and Flink.

• Experience in working with large datasets and high-throughput data environments.

Other Requirements:

• Familiarity with cloud platforms like Azure, GCP, or AWS.

• Strong problem-solving skills and ability to work in fast-paced environments.

• Excellent communication and collaboration skills.

Responsibilities:

• Development and implementation of advanced data models to extract insights from complex datasets.

• Collaborate with cross-functional teams to devise data-driven solutions for service optimization.

• Conduct experiments and analyses to enhance service predictions and outcomes.

• Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts.

• Mentor junior data scientists and foster a collaborative team environment.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 6+ experience as a Data Scientist, with a focus on AI-driven environments.

• Expertise in data manipulation and analysis tools (e.g., Python, R, SQL).

• Extensive experience with machine learning frameworks and algorithms.

• Strong familiarity with both structured and unstructured data sources.

Other Requirements:

• Excellent problem-solving skills and the ability to communicate complex concepts effectively to non-technical stakeholders.

• A collaborative mindset and a passion for innovation, with a proven track record of leading projects to success.

Responsibilities:

• Development and implementation of advanced data models to extract insights from complex datasets.

• Collaborate with cross-functional teams to devise data-driven solutions for service optimization.

• Conduct experiments and analyses to enhance service predictions and outcomes.

• Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts.

• Mentor junior data scientists and foster a collaborative team environment.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of experience in data science, with a focus on NLP , LLM and unstructured data processing.

• Proven track record of launching NLP-driven products to live users.

• Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.

• Experience with Transformer-based models (e.g., BERT, RAG,GPT ).

• Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.

Other Requirements:

• Familiarity with data engineering pipelines and best practices.

• Proficiency in SQL for analytics and data manipulation.

• Excellent problem-solving skills and ability to work with large-scale datasets.

• Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Responsibilities:

• Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.

• Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.

• Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.

• Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.

• Perform advanced SQL analytics to extract actionable insights from structured datasets.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of professional experience in backend development.

• Min 4 year in AI NLP or ML hand on experience is required

• Expertise in one of the following programming languages: Java, Python, or Golang.

• Proven experience in building and maintaining distributed systems at scale.

• Familiarity with at least one major cloud platform (Azure, AWS, or GCP).

Other Requirements:

• Strong understanding of system design, architecture patterns, and data structures.

• Experience with relational and NoSQL databases.

• Proficiency in developing RESTful APIs and microservices.

• Solid understanding of security best practices and performance optimization.

• Excellent problem-solving and debugging skills.

• Strong communication and collaboration skills.

Responsibilities:

• Design, implement, and maintain scalable backend systems.

• Develop and optimize distributed systems capable of handling large-scale traffic and data.

• Lead the architecture and design of critical components and systems.

• Write clean, maintainable, and efficient code

• Collaborate with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 5+ years of experience in backend engineering or a similar role.

• Hand on experience in LLM , NLP

• Proficiency in programming languages such as Java, or Python

• Strong experience with database management systems (e.g., PostgreSQL, MongoDB) and data modeling.

• Familiarity with cloud services (e.g., AWS, Azure, GCP) and microservices architecture.

Other Requirements:

• Excellent problem-solving skills and the ability to communicate complex technical concepts effectively to diverse stakeholders.

• A collaborative mindset and a passion for innovation, with a proven track record of delivering high-quality projects.

Responsibilities:

• Lead the design, development, and maintenance of scalable backend systems and APIs that support our AI-driven platform.

• Collaborate with cross-functional teams to ensure seamless integration of backend services with frontend applications.

• Optimize system performance, reliability, and scalability through best practices and innovative solutions.

• Troubleshoot complex issues and implement solutions to improve application functionality and user experience.

• Mentor junior engineers, fostering a culture of knowledge sharing and continuous improvement.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of professional experience in backend development.

• Min 4 year in AI NLP or ML hand on experience is required

• Expertise in one of the following programming languages: Java, Python, or Golang.

• Proven experience in building and maintaining distributed systems at scale.

• Familiarity with at least one major cloud platform (Azure, AWS, or GCP).

Other Requirements:

• Strong understanding of system design, architecture patterns, and data structures.

• Experience with relational and NoSQL databases.

• Proficiency in developing RESTful APIs and microservices.

• Solid understanding of security best practices and performance optimization.

• Excellent problem-solving and debugging skills.

• Strong communication and collaboration skills.

Responsibilities:

• Design, implement, and maintain scalable backend systems.

• Develop and optimize distributed systems capable of handling large-scale traffic and data.

• Lead the architecture and design of critical components and systems.

• Write clean, maintainable, and efficient code

• Collaborate with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions.

Experience Requirements:

• 5+ years of product management experience, preferably in search- or field service-related products

• Experience with AI-powered diagnostics, field service management (FSM), or customer support automation.

Other Requirements:

• Familiarity with modern search concepts vector/hybrid search, RAG architectures, reinforcement learning, NER, query expansion/rewriting, knowledge graphs, intent recognition, and conversational search

• Strong expertise in leveraging data and user behavior for search optimization

• Experience with customer service and field service management (FSM) platforms such as ServiceNow, Salesforce Service Cloud, or Microsoft Dynamics.

Responsibilities:

• Define and execute the product roadmap for Neuron7’s Search product, focusing on search relevance, configurations, and insights Define and execute the product roadmap for Neuron7’s Search products, focusing on search relevance, configurations, and insights

• Develop AI-driven insights to help customers track and improve search KPIs

• Work with data science and engineering teams teams to implement intelligent search capabilities like vector/semantic search, RAG, and reinforcement learning for search optimization

• Explore and implement concepts for Conversational Search where relevant for service cases

Benefits:

• Competitive salary, equity, and performance bonuses

• Paid sick leave

• Latest MacBook Pro and best-in-class tools

• Comprehensive health insurance coverage

• Paid parental leave

Education Requirements:

• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field from a Tier-1 institution

Experience Requirements:

• 4–7 years of experience in AI/ML development, including hands-on work with LLMs systems

• Demonstrated ability to take research concepts into production-grade systems

Other Requirements:

• Strong proficiency in Python and ML frameworks like TensorFlow or PyTorch

• Experience with Large Language Models (e.g., GPT, Claude, LLaMA) including prompt engineering and fine-tuning

• Hands-on knowledge of reinforcement learning, planning algorithms, and autonomous agent frameworks

• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices

• Strong understanding of AI pipelines, API development, and system integration

Responsibilities:

• Design and build AI agents that autonomously plan and perform complex tasks using LLMs, reinforcement learning, and symbolic Machine Learning & NLP: Develop and fine-tune NLP models for natural language understanding, contextual decision-making, and conversational

Education Requirements:

• Any graduate or master’s degree in science, engineering or technology

Experience Requirements:

• 3+ years of experience in Compliance, Security, or IT Audit experience

• Total experience of 6-8 years

Responsibilities:

• Support business teams to achieve and maintain their security and compliance posture in accordance with ISO 27001, GDPR, HIPAA, Data Privacy, etc

• Validate ongoing compliance of policies and process/procedures in support of requirements and ensure that controls are operating effectively

• Prepare responses to client questionnaires and RFPs on information security, compliance and data privacy related areas.

• Provide support and clarity to customers and users of the information and cyber-security policy framework answering related questions and challenges as they arise

• Interface and engage both management and other functions in organization on information security compliance related activities and processes Lead the effective publication of policy materials and documents Risk Management Present and report regularly infosec dashboard to management and stakeholders Assist with the development of technical security risk and compliance documentation Document and Communicate status and compliance effectiveness to management on a regular basis Conduct regular internal audits on information security Manage external audits from customers, stakeholders and regulatory agencies Maintain and manage ISMS related documents, reports, and artefacts Coordinates the issuance of access control and drive change management activities Manage vendor and third-party due diligence documentation Internal consultant for IT domain leads, administrators for security infrastructure, and assisting them to implement security devices configuration controls for firewalls, Internet connectivity, Proxies, IPS and router etc

Experience Requirements:

• 2 – 5 years of experience

Responsibilities:

• Develop new user-facing features

• Build reusable code and libraries for future use

• Ensure the technical feasibility of UI/UX designs

• Optimize application for maximum speed and scalability

• Assure that all user input is validated before submitting it to the back-end Skills: MongoDB, Express, React.js and NodeJS (Node.js)