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Senior Mechanical Engineer
XMachines develops and manufactures AI-powered robots for agriculture, manufacturing, research, and solar plant maintenance. They are an Indian company with a global reach.
Benefits:
Opportunities for professional development and career growth
Collaborative and innovative work environment
Chance to work on cutting-edge technology and make a meaningful impact
Education Requirements:
Bachelor’s degree in Mechanical Engineering or related field; Master’s degree preferred
Experience Requirements:
7+ Years
Responsibilities:
Lead the design and development of mechanical systems and components from concept to production
Conduct feasibility studies and risk assessments
Conduct and oversee in-depth analyses of mechanical feasibility, manufacturability, and performance
Collaborate with cross-functional teams
Utilize CAD software
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Principal / Lead Mechanical Engineer
XMachines develops and manufactures AI-powered robots for agriculture, manufacturing, research, and solar plant maintenance. They are an Indian company with a global reach.
Benefits:
Opportunities for professional development and career growth
Collaborative and innovative work environment
Chance to work on cutting-edge technology and make a meaningful impact
Education Requirements:
Master's degree in Mechanical Engineering or a related field (preferred)
Experience Requirements:
10+ Years
Responsibilities:
Provide strategic leadership and technical direction for the mechanical engineering team
Lead the design, development, and implementation of complex mechanical systems
Conduct and oversee in-depth analyses of mechanical feasibility, manufacturability, and performance
Develop and maintain strong relationships with cross-functional teams
Oversee the prototyping process
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Senior Data Engineer
DataNimbus provides AI-powered data management and integration tools, including a cloud-native ETL designer and a comprehensive data platform, designed for seamless Databricks integration and accelerated AI adoption.
Benefits:
Opportunity to work on cutting-edge data and AI projects
Collaborative and innovative work environment
Competitive salary and benefits package
Professional growth and development opportunities
Experience Requirements:
4+ years experience in data engineering, data architecture, data platforms & analytics
At least 3+ years experience with Databricks, PySpark, Python, and SQL
Other Requirements:
Consulting / customer facing experience, working with external clients across a variety of industry markets
Comfortable writing code in both Python and SQL
Proficiency in SQL and experience with data warehousing solutions
Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
Strong understanding of data modeling, ETL processes, and data architecture principles
Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
Familiarity with CI/CD for production deployments – GitHub, Azure DevOps, Azure Pipelines
Working knowledge of MLOps methodologies
Design and deployment of performant end-to-end data architectures
Experience with technical project delivery – managing scope and timeline
Experience working with clients and managing conflicts
Good to have Databricks Certifications
Strong communication and collaboration skills
Ability to travel up to 30% when needed
Responsibilities:
Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to’s and productionalizing customer use cases
Work with engagement managers to scope variety of professional services work with input from the customer
Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
Consult on architecture and design, bootstrap or implement customer projects which leads to a customers’ successful understanding, evaluation and adoption of Databricks
Support customer operational issues with an escalated level of support
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Integration Architect
DataNimbus provides AI-powered data management and integration tools, including a cloud-native ETL designer and a comprehensive data platform, designed for seamless Databricks integration and accelerated AI adoption.
Benefits:
Opportunity to work on cutting-edge data and AI projects
Collaborative and innovative work environment
Competitive salary and benefits package
Professional growth and development opportunities
Education Requirements:
Bachelor’s degree in Business Administration, Management, or a related field
Experience Requirements:
10+ years; hands-on
7+ years of experience managing IT or data platform projects, with at least 2 years focused on cloud-based data platforms like Databricks, AWS, Azure, or GCP
4+ years experience in data engineering, data architecture, data platforms & analytics
At least 3+ years experience with Databricks, PySpark, Python, and SQL
Other Requirements:
Building microservices using Java/Spring boot/OAuth,OIDC2/REST/SOAP
Enterprise Integration (Apache Camel), Spring Integrator, Mule/TIBCO/IIB
Working experience in messaging technology – Kafka/IBM MQueue
Cloud environment (preferably Azure or AWS)
Containerization (Docker) & deployment (Kubernetes)
DevOps (Jenkins/Gitlabs/Azure DevOps etc.)
Exposure to DBMS technology such as SQL. MongoDB (NoSQL) would be a plus
Strong in Engineering practices (ex: TDD/BDD, Unit Testing, SONARQube, CI-CD etc., )
(Nice to have) Strong Knowledge using Transformation Tools, like XSLT
Consulting / customer facing experience, working with external clients across a variety of industry markets
Comfortable writing code in both Python and SQL
Proficiency in SQL and experience with data warehousing solutions
Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
Strong understanding of data modeling, ETL processes, and data architecture principles
Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
Familiarity with CI/CD for production deployments – GitHub, Azure DevOps, Azure Pipelines
Working knowledge of MLOps methodologies
Design and deployment of performant end-to-end data architectures
Experience with technical project delivery – managing scope and timeline
Experience working with clients and managing conflicts
Good to have Databricks Certifications
Strong communication and collaboration skills
Ability to travel up to 30% when needed
Familiarity with Databricks, Spark, or similar big data frameworks
Understanding of data engineering, machine learning workflows, and cloud infrastructure
Proven track record in managing multiple projects simultaneously, adhering to deadlines and budgets
Strong understanding of Agile, Scrum, and Waterfall methodologies
Experience working with data governance, analytics, or AI/ML projects
Familiarity with Databricks features such as Delta Lake, MLflow, and Unity Catalog
Understanding of data integration tools like Apache Airflow, Informatica, or Talend
Responsibilities:
Design, develop, deliver and maintain shared engineering platforms, products and solutions
Contribute to design and standards that will enable the development team to produce highly functional, sustainable, scalable and high performing solutions meeting or exceeding customer expectations
Collaborate with business teams, other technical leaders, software engineers, architects in order to identify the right architecture and design while developing software platforms, products and solutions
Communicate software architecture & design ideas effectively to other software engineering staff members through code and textual and pictorial documentation as needed
Assume Ownership and Accountability of the work delivered by the Team
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Machine Learning Lead
DeepEdge: An integrated deep learning platform for building, training, and deploying AI models to edge devices.
Benefits:
Competitive Pay
Stock Options
Fully paid Health Insurance
Free food, snacks, and drinks
Sponsorship for continued education and paper submissions
Other Requirements:
Background in robotics domain
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High performance computing engineer
DeepEdge: An integrated deep learning platform for building, training, and deploying AI models to edge devices.
Benefits:
Competitive Pay
Stock Options
Fully paid Health Insurance
Free food, snacks, and drinks
Sponsorship for continued education and paper submissions
Responsibilities:
Code optimization for GPGPU environment
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Machine Learning Lead
DeepEdge: An integrated deep learning platform for building, training, and deploying AI models to edge devices.
Benefits:
Competitive Pay
Stock Options
Fully paid Health Insurance
Free food, snacks, and drinks
Sponsorship for continued education and paper submissions
Other Requirements:
Background in medical domain
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Machine Learning Engineer
DeepEdge: An integrated deep learning platform for building, training, and deploying AI models to edge devices.
Benefits:
Competitive Pay
Stock Options
Fully paid Health Insurance
Free food, snacks, and drinks
Sponsorship for continued education and paper submissions
Experience Requirements:
1-3 years of industry experience
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Machine Learning Interns
DeepEdge: An integrated deep learning platform for building, training, and deploying AI models to edge devices.
Benefits:
Competitive Pay
Stock Options
Fully paid Health Insurance
Free food, snacks, and drinks
Sponsorship for continued education and paper submissions
Other Requirements:
Excellent programming skills, ML background and passion to excel
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Embedded engineers interns for Computer vision
DeepEdge: An integrated deep learning platform for building, training, and deploying AI models to edge devices.
Benefits:
Competitive Pay
Stock Options
Fully paid Health Insurance
Free food, snacks, and drinks
Sponsorship for continued education and paper submissions
Other Requirements:
Passion to build career in deep learning, computer vision domain
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Tech writer for DeepEdge platform
DeepEdge: An integrated deep learning platform for building, training, and deploying AI models to edge devices.
Benefits:
Competitive Pay
Stock Options
Fully paid Health Insurance
Free food, snacks, and drinks
Sponsorship for continued education and paper submissions
Other Requirements:
Command over written English
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AI Applications Engineer
Ema is a Universal AI Employee platform powered by Agentic AI, designed to automate complex workflows and boost enterprise productivity. It offers pre-built agents, integrates with various apps, and prioritizes data security.
Education Requirements:
Bachelor's degree in Computer Science
Experience Requirements:
Experience in working with different data structures and data engineering
Experience in analysing customer requirements and providing demos
Ability to work with APIs and use Python to perform data transformation
Ability to work effectively in a team
Knowledge of AI technology and enterprise SaaS applications is a plus
Responsibilities:
analyzing customer requirements
building new AI application POCs / pilots for customers
integrating with customers' data and applications
leading deployment of Gen AI Applications for very large enterprise customers
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Corporate Lawyer
Rizzle AI is an AI-powered video creation platform that helps users turn text into engaging videos quickly and easily.
Education Requirements:
Degree from an accredited law school.
Minimum of 3 years of relevant experience in technology law and corporate legal affairs.
Profound knowledge of US tech laws, GDPR, and international privacy regulations.
Strong contract negotiation and drafting skills.
Excellent communication and interpersonal abilities. Capacity to work both independently and collaboratively within a diverse, cross-functional team. Exceptional problem-solving and analytical skills. High ethical standards and an unwavering commitment to preserving confidentiality
Experience Requirements:
Minimum of 3 years of relevant experience in technology law and corporate legal affairs.
Profound knowledge of US tech laws, GDPR, and international privacy regulations.
Strong contract negotiation and drafting skills.
Excellent communication and interpersonal abilities. Capacity to work both independently and collaboratively within a diverse, cross-functional team. Exceptional problem-solving and analytical skills. High ethical standards and an unwavering commitment to preserving confidentiality
Responsibilities:
Ensure strict adherence to Global technology laws, GDPR, and other international regulations.
Review, draft, and negotiate various contracts, including software licensing agreements, service contracts, data processing agreements, and more.
Oversee and advise on matters pertaining to data privacy and protection, including GDPR compliance, data breach management, and privacy policies.
Manage and safeguard the company's intellectual property assets, including trademarks, patents, copyrights, and trade secrets.
Stay current with evolving technology and privacy laws worldwide, assess their impact on the company, and develop comprehensive compliance strategies. Collaborate with external legal counsel when necessary and manage litigation or dispute resolution matters. Assist in maintaining the company's corporate governance framework, including board meetings, record-keeping, and adherence to corporate regulations. Conduct internal training programs to educate employees on legal and compliance matters, fostering a culture of awareness within the organization
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Associate - Managed Services
Rizzle AI is an AI-powered video creation platform that helps users turn text into engaging videos quickly and easily.
Experience Requirements:
Enthusiasm and passion for content creation and video production.
Basic understanding of video editing software and tools.
Strong creativity and attention to detail.
Excellent communication and teamwork skills.
Ability to adapt quickly to new technologies and platform features
Responsibilities:
Work closely with the content team to brainstorm and gather content materials and creative ideas for video production on the Rizzle platform.
Transform provided content, including text, images, and audio, into captivating and visually appealing videos that adhere to Rizzle's unique style and quality standards.
Utilize the features and tools available on the Rizzle platform to enhance video content creation, and if necessary, regenerate and craft engaging videos to maximize user engagement.
Stay up-to-date with the latest releases, updates, and features of the Rizzle platform.
Continuously adapt to new tools and functionalities to improve the quality and reach of produced content
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Video Reviewer - Managed Services
Rizzle AI is an AI-powered video creation platform that helps users turn text into engaging videos quickly and easily.
Education Requirements:
Bachelor's Degree: Journalism, Communications, Media Studies, or a related field.
Master's Degree: Preferred for advanced roles, especially in multimedia journalism.
1-2 years in journalism, preferably with a focus on video content or multimedia storytelling.
Knowledge of video production processes.
Prior experience reviewing or editing video content is a plus
Experience Requirements:
1-2 years in journalism, preferably with a focus on video content or multimedia storytelling.
Knowledge of video production processes.
Prior experience reviewing or editing video content is a plus
Responsibilities:
Review and assess video content for accuracy, quality, and adherence to client guidelines for news publishing houses.
Edit videos to enhance storytelling and viewer engagement while maintaining the original intent.
Provide constructive feedback to clients and collaborate on adjustments as necessary.
Stay informed about trends in video production and journalism to enhance review processes.
Ensure compliance with ethical standards and company policies in all reviewed content. Assist in creating best practices for video review and quality assurance. Demonstrate excellent attention to detail and the ability to work efficiently under pressure. Possess strong communication skills, both written and verbal. Ability to work collaboratively in a dynamic environment
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Video Journalist - Managed Services
Rizzle AI is an AI-powered video creation platform that helps users turn text into engaging videos quickly and easily.
Education Requirements:
Bachelor's Degree: Journalism, Communications, Media Studies, or a related field.
Master's Degree: Preferred for advanced roles, especially in multimedia journalism.
1-2 years in journalism, preferably with a focus on video content or multimedia storytelling.
Knowledge of video production processes.
Prior experience reviewing or editing video content is a plus
Experience Requirements:
1-2 years in journalism, preferably with a focus on video content or multimedia storytelling.
Knowledge of video production processes.
Prior experience reviewing or editing video content is a plus
Responsibilities:
Collaborate with clients to understand their messaging, target audience, and content goals.
Stay updated on current events and industry trends to inform video topics and narratives.
Ensure all content adheres to ethical journalism standards and company guidelines.
Work closely with the video production team to ensure alignment between script and final output.
Demonstrate strong writing and storytelling skills, with a keen eye for detail. Manage multiple projects simultaneously while working under tight deadlines. Familiarity with video production processes is a plus. Exhibit excellent communication and interpersonal skills
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Team Lead- Managed Services
Rizzle AI is an AI-powered video creation platform that helps users turn text into engaging videos quickly and easily.
Education Requirements:
Bachelor's degree in Media Production, Film Studies, Communication, or a related field.
10+ years of experience in video production, content creation, or digital media, with at least 5 years in a managerial role.
Proven experience managing a team of creatives, including video creators, editors, and journalists to maximize productivity, monetization and on-time delivery
Experience Requirements:
10+ years of experience in video production, content creation, or digital media, with at least 5 years in a managerial role.
Proven experience managing a team of creatives, including video creators, editors, and journalists to maximize productivity, monetization and on-time delivery
Responsibilities:
Manage a large team of as many as 100-200 video creators, reviewers, and journalists, fostering a collaborative and creative environment.
Oversee end-to-end video production, ensuring content meets quality standards and deadlines, as well as optimize output for video syndication monetization.
Serve as the primary client contact, translating their needs into actionable content plans and managing feedback.
Identify and implement workflow improvements to enhance team efficiency and reduce production time.
Ensure all content aligns with Rizzle’s standards and client expectations, addressing any quality issues promptly.
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Associate AI Project Specialist
Appen provides high-quality data for AI models and applications, offering data annotation, collection, and LLM training data services.
Education Requirements:
BS or BA degree from an accredited university or equivalent work experience preferred
Experience Requirements:
1-2 year of project management experience in a metric-driven setting working in a production, operation, or call center environment is desired. Alternatively, experience in marketing or communication
Other Requirements:
Experience with stakeholder management in a project-based environment
Demonstrated efficient time management and organizational skills
Proficient and experienced in using Excel (create basic formulas, pivot tables, create reports)
Knowledge of Microsoft Office tools - Word, PowerPoint and Outlook. Ideally, some experience using Salesforce.
Commitment to quality (being able to follow processes and contribute to their improvements)
Agility and a service orientated approach
Ability to pick up new tools and systems quickly
Can multitask and work even under pressure
High attention to details to deliver projects with precision and accuracy
Proficiency in English, with excellent oral and written communication skills
Ability to communicate in other languages is a bonus (especially written communication)
Responsibilities:
Project Management
Communication
Project Administration
Data analysis
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Staff Engineer
Appen provides high-quality data for AI models and applications, offering data annotation, collection, and LLM training data services.
Education Requirements:
Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or a related field
Experience Requirements:
8+ years of experience in data engineering, with at least 2 years in a management or team leadership role
Other Requirements:
Proficiency in data engineering tools and technologies such as SQL, Python, Apache Spark, and data warehousing solutions (e.g., Snowflake, Redshift)
Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data solutions
Strong understanding of ETL/ELT processes, data modeling, and data pipeline design
Familiarity with data governance and regulatory standards
Excellent problem-solving skills and the ability to work well in cross-functional teams
Strong communication skills, with the ability to clearly explain complex technical concepts to both technical and non-technical stakeholders
Responsibilities:
Leadership
Data Architecture & Infrastructure
Data Governance & Quality
Innovation & Continuous Improvement
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