Education Requirements:

• Bachelor’s degree in Business, Computer Science, Engineering, or a related field. MBA is a plus

Experience Requirements:

• 4-6 years of product management experience

Other Requirements:

• Strong experience working with large enterprise clients to manage complex requirements and deliver tailored solutions

• Proven ability to lead cross-functional teams, driving LLM-powered products from ideation to delivery

• Strong project management skills, ideally with experience in agile development

• Excellent communication and presentation skills, with the ability to articulate technical concepts clearly and influence stakeholders

• Exceptional analytical and problem-solving skills, with a passion for delivering innovation

• Experience with AI, machine learning, or chatbot technologies

• Background in innovation management, with a proven passion for developing and experimenting with new ideas

• Ability to manage multiple projects simultaneously in a fast-paced environment

• Deep knowledge of Large Language Models (LLMs), natural language processing (NLP), and related AI technologies

• Hands-on experience with LLM platforms (e.g., OpenAI, GPT, BERT) and familiarity with applying these technologies in enterprise solutions

• Strong understanding of SaaS platforms, with an emphasis on AI-driven product enhancements

Responsibilities:

• Client Collaboration

• Product Strategy

• Feature Development (LLMs)

• Internal Projects

• Project Management

Experience Requirements:

• 5-6 years of experience in both administrative roles and technical support, specializing in Zendesk and API integrations

Other Requirements:

• Proficient in Java and HTML, enhancing technical capabilities for comprehensive support

• Proven track record of positively impacting organizations through the development and implementation of standard operating practices

• Familiarity with start-up environments, demonstrating adaptability to dynamic work settings

• Strong ability to navigate and excel in fast-paced and evolving work environments, with a specific background in technical support roles

• Deep understanding of tools like Postman/Datadog/Workato

• Good knowledge of JavaScript with the ability to identify code-level issues and rectify

• Ability to train New Hires in the team on Process, Product and Technology

• Effectively mentors multiple L1s in the context of support

Responsibilities:

• In Depth understanding of Netomi systems - AI Studio, Backend Architecture, Agent Desk Integrations

• Understanding of business requirements for our different customers and how they can be solved through AI Studio

• Participate in the software development lifecycle to learn the new system/feature

• Responsible for resolving the ticket queue through Zendesk

• Coordinating and leading troubleshooting through incident management

Experience Requirements:

• At least 2 years in DevOps or a related field

Other Requirements:

• Kubernetes (RBAC, cluster administration, Helm)

• CI/CD tools such as Jenkins, ArgoCD, or Spinnaker

• Service mesh solutions like Istio, Linkerd, or similar

• Proficiency in scripting languages (Python, Ruby, Golang)

• Familiarity with cloud platforms (AWS, GCP, Azure)

• Strong understanding of system design, networking, and infrastructure management

• Knowledge and experience in chaos engineering tools like Chaos Monkey, LitmusChaos, or Gremlin

Responsibilities:

• Kubernetes Management

• CI/CD Pipeline Development

• Helm Templates

• Service Mesh Implementation

• Scripting and Automation

Experience Requirements:

• 3+ years of experience as a data scientist, preferably in a product development environment, with a focus on building NLP/LLMs or Deep Learning models

Other Requirements:

• Strong programming skills in Python or other relevant programming languages

• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)

• Deep understanding of statistical analysis, probability theory, and experimental design

• Experience with LLMs, deep learning, NLP and chatbot development

• Excellent communication skills, including the ability to explain complex concepts to technical and non-technical stakeholders

• Experience working with a variety of statistical models, including logistic regression, clustering, classification, SVMs, neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc.

• Expertise in NLP techniques, including sentiment analysis, word embedding, part-of-speech (POS) tagging, topic modeling, text classification, machine translation, speech recognition, named entity recognition (NER), natural language generation (NLG), and other related techniques

• Experience with various deep learning techniques, including CNNs and RNNs, and a strong understanding of building and training these models for different applications. Familiarity with LMs and LLMs such as GPT, BERT, and Transformer models is highly desirable.

• Strong ability to rapidly comprehend and implement research papers related to AI, as well as remain informed of the latest advancements in NLP technologies

• Deep knowledge and experience in structured and unstructured data Information Extraction, Knowledge Information Retrieval, and Knowledge Representation

• Self-motivated and driven to satisfy intellectual curiosity through the pursuit of continuous learning and skill development

• Strong problem-solving and analytical skills

• Optional: Experience with large-scale data processing technologies (e.g., Hadoop, Spark) and distributed computing systems

Responsibilities:

• Design, develop and deploy machine learning models and algorithms for NLP/LLMs or deep learning models at scale to solve complex business problems

• Work with large datasets, perform data analysis and develop data pipelines to support model development

• Collaborate with Product & Engineering teams to integrate machine learning solutions into products and services

• Conduct experiments, test hypotheses, and perform statistical analysis to validate models and drive improvements

• Communicate findings and insights to stakeholders in a clear and concise manner

Education Requirements:

• Bachelor’s or Master’s degree in Applied Mathematics, Statistics, Computer Science or another quantitative field

Experience Requirements:

• 2+ years of experience in Data Science or a related field, with a focus on building NLP/LLMs or Deep Learning models

Other Requirements:

• Strong programming skills in Python or other relevant programming languages

• Experience with machine learning libraries such as TensorFlow, PyTorch, or Keras

• Experience working with a variety of statistical models, including logistic regression, clustering, classification, SVMs, neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc.

• Expertise in NLP techniques, including sentiment analysis, word embedding, part-of-speech (POS) tagging, topic modeling, text classification, machine translation, speech recognition, named entity recognition (NER), natural language generation (NLG), and other related techniques

• Experience with various deep learning techniques, including CNNs and RNNs, and a strong understanding of building and training these models for different applications. Familiarity with LMs and LLMs such as GPT, BERT, and Transformer models is highly desirable.

• Strong ability to rapidly comprehend and implement research papers related to AI, as well as remain informed of the latest advancements in NLP technologies

• Deep knowledge and experience in structured and unstructured data Information Extraction, Knowledge Information Retrieval, and Knowledge Representation

• Self-motivated and driven to satisfy intellectual curiosity through the pursuit of continuous learning and skill development

• Strong problem-solving and analytical skills

• Excellent communication and collaboration abilities

• Optional: Experience with big data platforms such as Hadoop or Spark

Responsibilities:

• Design and implement machine learning algorithms for NLP/LLMs or deep learning models at scale to meet business requirements

• Analyze large datasets and develop models that can be used to make predictions, generate responses or summaries, identify patterns etc.

• Develop and improve existing models to increase accuracy, efficiency, and effectiveness

• Work closely with cross-functional teams to identify and prioritize business problems, and develop solutions to address them

• Communicate findings and insights to stakeholders in a clear and concise manner

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, Linguistics, or a related field

Experience Requirements:

• 2+ years of experience in Data Science, focusing on NLP, prompt engineering, or deep learning

Other Requirements:

• Proficiency in Python and familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face)

• Strong understanding of NLP techniques and machine learning principles, including sentiment analysis, word embedding, text classification, and Transformer models (e.g., GPT, BERT)

• Experience with developing, optimizing, and evaluating prompts to improve AI model responses

• Experience with large language models (e.g., GPT-4, Llama3) and their applications in customer service or other domains

• Knowledge of data visualization tools and techniques to communicate complex data insights effectively

• Background in linguistics or computational linguistics

• Experience with agile development methodologies and big data platforms like Hadoop or Spark

• Excellent analytical, problem-solving, and communication skills

• Ability to work collaboratively in a team environment, manage multiple projects simultaneously, and document complex processes effectively

• Self-motivated with a passion for continuous learning and innovation in AI

Responsibilities:

• Prompt Engineering and Development

• Model Design and Implementation

• Benchmarking and Evaluation

• Collaboration and Communication

• Documentation and Research