Symbl.ai

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🔥 Technical Program Manager

Posted 2024-11-07

📍 United States

🔍 Conversation AI technology

Hold a Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Possess a minimum of 4 years of Technical Program Management experience.
Have a Project Management Professional (PMP) certification or equivalent.
Demonstrate experience with cloud technologies, AI, or other emerging technologies.
Show experience in a large-scale, globally distributed environment and exhibit a strong understanding of software development life cycle (SDLC) and agile methodologies.
Possess excellent organizational, leadership, and communication skills.
Able to manage multiple priorities in a fast-paced environment.
Have strong problem-solving and analytical skills.

Lead technical project execution, ensuring alignment with business objectives.
Develop and maintain project plans, schedules, and budgets.
Coordinate cross-functional teams to achieve project milestones.
Facilitate communication and collaboration between team members.
Drive continuous improvement initiatives to optimize project management processes.
Provide regular project status updates and reports to senior leadership.

LeadershipProject ManagementSoftware DevelopmentAgileCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-11-07

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🔥 Strategic Account Manager

Posted 2024-11-07

📍 United States

🔍 Conversational AI

10+ years of experience in strategic account management or enterprise sales roles, preferably in the technology industry.
Demonstrated track record of managing and growing key accounts.
Strong communication and interpersonal skills.
Deep understanding of customer business challenges and industry trends.
Results-driven and customer-focused.
Bachelor’s or Master’s degree in Business Administration, Marketing, or related field.

Develop and maintain relationships with key stakeholders at assigned accounts, serving as the primary point of contact.
Understand customer business objectives and challenges to align solutions.
Drive adoption and usage of products and services within assigned accounts.
Collaborate with cross-functional teams to develop account strategies.
Identify upsell and cross-sell opportunities within existing accounts.
Monitor account health and proactively address customer concerns.

LeadershipBusiness DevelopmentPeople ManagementCross-functional Team LeadershipStrategyBusiness developmentStrategic ManagementCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-11-07

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🔥 Senior Backend Engineer

Posted 2024-11-07

📍 United States

🧭 Full-Time

🔍 Conversational AI

Demonstrate a deep understanding of natural language processing (NLP) techniques.
Hands-on experience building and deploying machine learning models for text analysis.
Strong knowledge of conversational AI frameworks and technologies, such as Dialogflow or Rasa.
Proficiency in designing scalable and reliable backend systems for conversational AI applications.
Passion for staying updated on advancements in AI and ML, particularly in conversational agents.
Excellent problem-solving skills and the ability to adapt to challenges in the conversation AI domain.

Integrate AI and ML algorithms with backend systems to enhance functionality.
Develop APIs and microservices for communication between AI/ML models and other application components.
Implement data preprocessing and feature engineering pipelines for AI/ML model training.
Deploy and manage AI/ML models in production environments ensuring reliability and scalability.
Utilize tools like TensorFlow, PyTorch, or scikit-learn for building and deploying machine learning models.
Collaborate with data scientists and ML engineers to optimize AI/ML workflows.

Backend DevelopmentPythonSoftware DevelopmentArtificial IntelligenceData AnalysisElasticSearchGitKerasMachine LearningNLTKNumpyPyTorchAlgorithmsData analysisElasticsearchGoREST APITensorflowCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-11-07

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🔥 Research Intern (AI/ML)

Posted 2024-11-07

📍 USA, India

🧭 Internship

🔍 AI/ML/NLP Technology

Have a strong passion for AI/ML/NLP research and a desire to learn.
Hold (or currently pursuing) a Ph.D. or Master's degree in an AI/ML/NLP area.
Possess a solid foundation in Machine Learning concepts.
Demonstrate strong analytical and problem-solving skills.
Be proficient in data analysis and research methodologies.
Have a prior portfolio of hands-on development work, preferably in the AI/ML space.
Show a keen interest in AI and technology trends.
Demonstrated research work, including published work.
Possess effective communication and teamwork skills.
Be adaptable, curious, and committed to contributing to the research community.
Be self-driven, motivated, and hold strong technical opinions.

Contribute to the development and advancement of the Nebula LLM, our flagship product.
Work with experienced researchers and developers to conduct novel research and translate that into real-world impact.
Dive into real-world Machine Learning applications.
Work on research projects that push the boundaries of AI and NLP technology.
Gain hands-on experience in deploying AI tools and techniques.
Analyze data, experiment with algorithms, and enhance your problem-solving skills.
Develop deep, hands-on knowledge of building, maintaining, and deploying a large language model.

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Posted 2024-11-07

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🔥 ML Solutions Architect

Posted 2024-11-07

📍 United States

🧭 Full-Time

🔍 Conversational AI

Possess a minimum of 10 years of experience in machine learning engineering or software architecture roles, with a focus on designing and implementing ML solutions.
Demonstrate expertise in machine learning algorithms, model development, and evaluation techniques, with hands-on experience in building end-to-end ML systems.
Have proficiency in programming languages such as Python and experience with ML frameworks like TensorFlow or PyTorch.
Exhibit strong problem-solving and analytical skills, with the ability to tackle complex technical challenges and drive innovative solutions.
Possess excellent communication and collaboration skills, with the ability to effectively interact with cross-functional teams and stakeholders.
Show a passion for self-driven learning and staying updated on advancements in machine learning technologies, with a keen interest in applying them to Conversational AI and product development initiatives.

Collaborate with product management and engineering teams to understand business requirements and translate them into scalable ML architectures.
Design end-to-end ML pipelines for data ingestion, feature engineering, model training, evaluation, and deployment.
Implement state-of-the-art machine learning algorithms and models to address specific use cases in Conversation AI and Nebula product projects.
Lead technical discussions and provide guidance on best practices for ML system design, ensuring scalability, reliability, and maintainability.
Work closely with data engineers to optimize data pipelines and infrastructure for efficient model training and inference.
Stay updated on the latest advancements in machine learning technologies and incorporate emerging techniques and frameworks into our ML solutions.

PythonMachine LearningProduct ManagementPyTorchSoftware ArchitectureProduct DevelopmentAlgorithmsTensorflowAnalytical SkillsCollaborationProblem Solving

Posted 2024-11-07

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🔥 ML Engineer - Inference

Posted 2024-11-07

📍 United States

🧭 Full-Time

🔍 Conversation AI

Strong background in machine learning, with hands-on experience in developing and deploying inference models.
Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
Experience with optimization techniques including quantization, pruning, and model compression.
Strong problem-solving skills for troubleshooting complex technical issues.
Excellent communication and collaboration skills in a remote team environment.
Passion for learning and staying updated on advancements in ML inference technologies.
Experience with ML workflow libraries like CUDNN/TensorRT, ROCm, OpenVino, or OpenPPL; knowledge of ML communication frameworks like NCCL is an advantage.

Design and implement efficient algorithms and models for real-time inference in Conversation AI applications, with a focus on Nebula.
Collaborate with cross-functional teams to integrate machine learning models into production systems, ensuring scalability, reliability, and performance.
Optimize and fine-tune machine learning models for resource-constrained environments.
Develop monitoring and evaluation mechanisms to assess performance of inference models.
Stay updated on advancements in machine learning inference techniques and incorporate new approaches as needed.
Contribute to the documentation of best practices for implementing and deploying ML inference solutions.

PythonMachine LearningPyTorchAlgorithmsTensorflowCollaboration

Posted 2024-11-07

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🔥 Machine Learning Engineer - Infrastructure and Operations

Posted 2024-11-07

📍 United States

🧭 Full-Time

🔍 AI and Machine Learning

Possess a strong background in machine learning, computer science, or a related field.
Have 5+ years of experience in building and deploying machine learning models in production environments.
Demonstrate proficiency in cloud computing platforms such as AWS, GCP, or Azure.
Have experience with containerization technologies like Docker and orchestration tools like Kubernetes.
Exhibit strong problem-solving skills and the ability to troubleshoot complex technical issues.
Possess excellent communication and collaboration skills to work effectively in a remote team environment.

Architect and maintain robust and scalable machine learning infrastructure.
Collaborate with data scientists and engineers to deploy and monitor machine learning models.
Implement automated workflows for model training, validation, and deployment.
Optimize and fine-tune the performance of machine learning systems.
Ensure data security, privacy, and compliance within the machine learning infrastructure.
Troubleshoot and resolve infrastructure-related issues.
Contribute to the evaluation and adoption of new technologies and tools in the machine learning space.

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Posted 2024-11-07

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🔥 Director, Technology Partnerships

Posted 2024-11-07

📍 United States

🔍 AI and Conversation Technology

Possess a minimum of 14 years of experience in software and/or SaaS leadership roles, with a focus on AI/ML technologies.
Demonstrate a proven track record of success in meeting and exceeding quotas, driving revenue through direct and partner-influenced opportunities.
Have prior experience in partnering with Independent Software Vendors (ISVs).
Exhibit strong leadership and relationship-building skills.
Possess excellent communication and negotiation skills.
Show strategic thinking and problem-solving abilities.

Develop and execute a comprehensive partnership strategy focused on engaging and empowering ISVs.
Cultivate and manage relationships with key ISV partners, serving as the primary point of contact.
Collaborate with cross-functional teams to identify partnership opportunities and align initiatives.
Lead negotiations and contractual agreements with ISV partners.
Drive joint marketing and go-to-market initiatives with ISV partners.
Track and analyze partnership performance metrics and provide insights to executive leadership.

LeadershipProduct ManagementStrategyCollaborationNegotiation

Posted 2024-11-07

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🔥 Director GTM, Revenue

Posted 2024-11-07

📍 United States

🔍 Conversation AI

Possess a minimum of 14 years of experience in product marketing, Go-To-Market strategy, or revenue leadership roles, preferably in the technology or AI industry.
Demonstrate a track record of developing and executing successful Go-To-Market strategies.
Have strong leadership and team management skills.
Exhibit strategic thinking and problem-solving abilities.
Possess excellent communication and interpersonal skills.
Show a passion for innovation and understanding of the Conversation AI landscape.

Develop and execute Go-To-Market strategies to drive revenue growth for Symbl.ai's Conversation AI platform.
Collaborate with cross-functional teams, including product management, sales, marketing, and customer success to align GTM initiatives with business objectives.
Define and implement pricing strategies, packaging, and monetization models.
Lead market analysis and competitive intelligence efforts.
Establish and maintain key performance indicators (KPIs) to track GTM effectiveness.
Cultivate strategic partnerships to expand market reach.

LeadershipArtificial IntelligenceBusiness DevelopmentMachine LearningProduct ManagementCross-functional Team LeadershipStrategyBusiness developmentCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-11-07

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🔥 ML Engineering Intern - Nebula

Posted 2024-09-04

📍 United States

🧭 Internship

🔍 Artificial Intelligence

Hold a Ph.D. or Master's degree in a relevant scientific or technical field.
Have a strong foundation in machine learning, natural language processing, and deep learning.
Be proficient in programming languages such as Python, and exhibit familiarity with ML libraries.
Have experience working on large-scale ML and Deep Learning projects.
Have demonstrable prior hands-on experience and projects in relevant areas.
Demonstrate strong analytical and problem-solving skills.
Possess effective communication and teamwork abilities.
Show a passion for pushing the boundaries of AI and language technology.

Collaborate on the development and enhancement of the Nebula LLM, our flagship product.
Dive into real-world data, exploring unique challenges in language technology.
Implement machine learning algorithms and techniques to solve complex problems.
Work closely with experienced professionals to gain insight into AI/ML research.
Engage in a variety of projects that directly impact our product's capabilities.

PythonArtificial IntelligenceMachine LearningAlgorithms

Posted 2024-09-04

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Symbl.ai

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