AI Jobs

Experience Requirements:

• 3+ Years Exp.

• DevOps Skills: CI/CD Pipeline | Terraform or CloudFormation | Ansible, Puppet, or Chef | Docker and Kubernetes | Git

• Big Data Technologies: HDFS, MapReduce, Hive, Pig, Spark | Cassandra, MongoDB, HBase | Apache Kafka

• Programming and Scripting: Java, Python, or Scala

• Cloud Platforms: AWS, Azure, or Google Cloud | AWS EMR, Azure HDInsightSecurity: Knowledge of security best practices for infrastructure and dataProblem-Solving and Troubleshooting

Responsibilities:

• Big Data DevOps Engineer specializing in data infrastructure and operations

Experience Requirements:

• 2+ Years Exp.

• AI and Machine Learning Expertise: TensorFlow, PyTorch, etc

• Engineering Leadership: Experience in a leadership role, preferably as an Engineering Manager.

• Technical Proficiency: Python, Java, or R | SDLC

• Platform Development: Knowledge of distributed systems and scalability considerations for AI applicationsAgile Methodology: Experience with Agile development methodologies.Communication Skills | Problem-solving and Innovation | Collaboration | Decision Making

Responsibilities:

• Manager leading AI Platform engineering for innovation and growth

Experience Requirements:

• 4+ Years Exp.

• AI Expertise: NLP, computer vision | AI, ML | TensorFlow, PyTorch, or scikit-learn

• Programming Languages: Python, Java, C++, and others relevant to systems engineering and AI development.

• Data Management: Hadoop, Spark, MongoDB, SQL

• Infrastructure and DevOps: Docker and container orchestration with Kubernetes.Problem-solving and Analytical Skills: Ability to troubleshoot complex technical issues and provide effective solutions.Communication and Collaboration | Security and Compliance | Adaptability and Learning

Responsibilities:

• Experienced professional in systems engineering, specializing in senior-level responsibilities

Benefits:

• Free gym benefit

• Free lunches and fancy espresso machine in the office

• Company events including happy hours, sauna/cold plunge wellness retreats, Barrys bootcamp, and snow trips

Experience Requirements:

• 3+ years

Responsibilities:

• Architect and build cutting-edge AI data extraction systems

• Work directly with customers to tackle their toughest data challenges often with creative solutions

• Push the boundaries of AI tech and stay on the cutting edge of LLM developments.

• Own projects end-to-end from working with founders or customers on the product proposal, architecting, building, evaluating and testing, shipping to prod, and integrating with customers

Experience Requirements:

• 6+ years

Benefits:

• Flexible working arrangement remotely or hybrid

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field (Master’s degree preferred)

Experience Requirements:

• Proven experience in data scraping from news API’s (e.g., Google, Yahoo) and keyword-based scraping techniques

Other Requirements:

• Proficiency in data parsing techniques to extract structured information from unstructured text sources

• Strong understanding of sentiment analysis methodologies and tools

• Experience with advanced technologies such as LLM/GPT Vision and AWS Textract for data analysis

• Familiarity with programming languages commonly used in data scraping and analysis (e.g., Python, R)

• Excellent analytical and problem-solving skills, with the ability to translate data insights into actionable recommendations

• Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment

Responsibilities:

• Develop and implement efficient data scraping strategies from news API’s (e.g., Google, Yahoo) to gather relevant information based on specified keywords and criteria

• Utilize advanced parsing techniques to extract structured data from unstructured text sources

• Conduct sentiment analysis on extracted data to discern attitudes, opinions, and trends

• Collaborate with cross-functional teams to integrate data insights into decision-making processes and product development

• Stay updated with the latest advancements in data scraping, parsing, and sentiment analysis techniques, and continuously optimize processes for enhanced efficiency and accuracy

Benefits:

• Flexible working arrangement remotely or hybrid

Education Requirements:

• Diploma/ Bachelor’s degree or equivalent experience in Computer Science or related field

Experience Requirements:

• Software development experience using JavaScript and Node for 2+ years

Other Requirements:

• Designing and implementing testable and scalable code

• Develop quality software and web applications

• Analyse and maintain existing software applications

• Discover and fix programming bugs

Responsibilities:

• Designing and implementing testable and scalable code

• Develop quality software and web applications

• Analyse and maintain existing software applications

• Discover and fix programming bugs

Education Requirements:

• Strong knowledge Python, PySpark, AWS, MySQL

Experience Requirements:

• Ability to run Python jobs based on scheduler

• Possess good data analytical skills and problem solving skills

• Soft skills, able to work independently with users on requirements gathering or issues investigation

• Strong communication and interpersonal skills

Other Requirements:

• Familiar with general data architecture concept, including data warehousing and big data technology is preferred

Experience Requirements:

• Hands on experience in Qlik Sense development, dashboarding and data modeling and reporting (ad hoc report generation) techniques

• Must have worked on Qlik GeoAnalytics & Qliksense on AWS

• Must be good at Data transformation, the creation of QVD files and set analysis

• Experienced in application designing, architecting, development and deployment using Qlik Sense

• Must be efficient in front-end development and know visualization best practices

Other Requirements:

• Strong database designing and SQL skills

• Strong communication skills (verbal/written) to deliver the technical insights and interpret the data reports to the clients

• Creating and maintaining technical documentation

• Experienced in data integration through extracting, transforming and loading (ETL) data from various sources

Other Requirements:

• Leveraging your in-depth understanding of programming languages and various tools to explore technologies including Java, Spring-boot, ReactJS, Redux, SQL & AWS to solutionize the business requirements

• Contributing to the system architecture design

• Development of our core back-end & front-end infrastructure

• Mentoring the team and inspiring them to provide quality deliverables quickly

Responsibilities:

• Leveraging your in-depth understanding of programming languages and various tools to explore technologies including Java, Spring-boot, ReactJS, Redux, SQL & AWS to solutionize the business requirements

• Contributing to the system architecture design

• Development of our core back-end & front-end infrastructure

• Mentoring the team and inspiring them to provide quality deliverables quickly

Experience Requirements:

• Factory life and client hands

• Teamwork

• Structured Data understanding

• Basic SQL understanding

• Initiative to locate data sources

Other Requirements:

• Work with 3rd parties

• Data gathering / organizing / ingestion

• Data gathering automation

• Good Analytical Skills

• Data tools

• ChatGPT prompting

• Technical Support

• Data Quality Management

• Use of Enterprise Tools

Responsibilities:

• Understand client operations

• Client stakeholder mapping and management

• Product deployment planning

• Structured Data sourcing, ingestion, validation, testing for our RealTime Factory OEE product

• Structured Data sourcing for Allie ML

Experience Requirements:

• Factory life and client hands

• Teamwork

• Structured Data understanding

• Initiative to locate data sources

• Work with 3rd parties

Other Requirements:

• Data gathering / organizing / ingestion

• Data gathering automation

• Good Analytical Skills

• Data tools

• ChatGPT prompting

• Basic SQL understanding

• Technical Support

• Data Quality Management

• Use of Enterprise Tools

Responsibilities:

• Understand client workflows

• Client stakeholder mapping and management

• Product deployment planning

• Data sourcing

• Data loading

Benefits:

• Health, Dental, and Vision Insurance

• 401(k) Plan with Employer Match

• Certification Stipends

• Professional Development Opportunities

• Flexible Work Arrangements

Other Requirements:

• only applicants who are sole U.S. Citizens can be considered for this position

Responsibilities:

• Spearhead the design and execution of projects that leverage advanced technologies like Vertex AI and Document AI to solve complex problems within the federal sector

• Work closely with cross-functional teams to develop solutions that are both effective and scalable, ensuring alignment with federal regulations and organizational goals

• Analyze emerging trends and technologies to inform strategic decisions, positioning Aretec as a leader in federal contracting

• Build and maintain strong relationships with federal partners, understanding their needs and delivering solutions that drive mission success

• Provide guidance and mentorship to team members, fostering a culture of innovation, collaboration, and excellence

Responsibilities:

• Build personalization engines

• Build generative models

• Build dashboards

• Build forecasting models

• Build chatbots

Benefits:

• Stock Ownership Plan

• Free Snacks

• Grow & Thrive allowance

• Team Celebrations

• Health Benefits (health, dental, optical, life, LTD), Free Parking

Benefits:

• Stock Ownership Plan

• Free Snacks

• Grow & Thrive allowance

• Team Celebrations

• Health Benefits (health, dental, optical, life, LTD), Free Parking

Experience Requirements:

• Python: 5+ years

• PyTorch, NumPy: 3+ years

• Experience with OpenCV and similar tools and libraries if the candidate is focused on computer vision

• Experience with NLTK and similar tools and libraries if the candidate is focused on natural language processing

• Other tools and libraries: Scipy, Pandas, Scikit-learn, Matplotlib, Plotly, Dash by Plotly, Flask, SQLAlchemy, Redis, ...

Benefits:

• Attractive salaries

• Stock options

• Retirement plans

• Private healthcare and well-being initiatives

• Unlimited holidays and enhanced parental leave

Experience Requirements:

• Advanced SQL and data modeling skills, including experience with dbt and data warehousing solutions

• Good knowledge of database management systems

• Experience working with orchestration frameworks, like Airflow

• Experience with CI/CD pipelines

• Experience with cloud-based platforms

Other Requirements:

• Experience with data integration tools

• Familiarity with BI tools

• Strong attention to detail

• Strong collaboration and communication skills

Responsibilities:

• Build and maintain efficient, secure data pipelines

• Develop and maintain data models

• Collaborate with cross-functional teams

• Assist internal teams with operational data support requests

• Use various techniques to transform raw data into analytics-ready datasets

Benefits:

• Attractive salaries

• Stock options

• Retirement plans

• Private healthcare and well-being initiatives

• Unlimited holidays and enhanced parental leave

Experience Requirements:

• Solid development background with Go

• Experience designing and building systems to handle high traffic at scale in a cloud-based environment in AWS

• Enjoy collaborating with technical and non-technical departments

• Strong understanding of the development process

Other Requirements:

• Proactive attitude towards finding ways to improve the code and team processes

• Take pride in what you build

• Interested in what new tools and techniques you could introduce

Responsibilities:

• Be a part of our Payments and Checkout group

• Contribute high-quality Go code

• Collaborate on features

• Level-up the team’s engineering practices

• Help to continuously improve the reliability and scalability

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD in a technical field or equivalent practical experience

Experience Requirements:

• Knowledge of the latest in large machine learning research

• Experience working with simulators and real-world robots

• Expertise in using large datasets with deep neural networks to make real robots useful

• A real passion for AI impacting real world robots!

Responsibilities:

• Design, implement and evaluate models and software prototypes of robotic agents.

• Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.

• Suggest and engage in team collaborations to meet ambitious research goals.

• Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate