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. What We re Looking For: 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. 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.

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. Stay up-to-date with the latest advancements in NLP and machine learning techniques. Mentor junior data scientists and foster a culture of technical excellence within the team. Communicate complex technical concepts to non-technical stakeholders and customers. Partner with customers to understand their needs and translate them into technical solutions. What We re Looking For: 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. 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. Preferred Skills: Knowledge of MLOps practices for model deployment and monitoring. Familiarity with tools like Airflow, Spark, or similar data processing frameworks. Background in working with customer-facing applications and APIs. What We Do and Value: At Neuron7.ai , we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in all aspects of our work.

We are building a real-time analytics platform to improve uptime of connected devices while minimizing maintenance costs. This will involve collecting analyzing large volumes of sensor data and enabling observability predictive analytics. We are seeking a highly skilled Senior Data Engineer with expertise in building and maintaining scalable, high-performance data architectures. The ideal candidate will have hands-on experience with modern data engineering tools and technologies such as Python, Scala, ELT processes, Lakehouse architecture, Spark, Databricks, real-time data streaming systems like Kafka and Flink, and observability tools such as ELK stack, Prometheus, Grafana. You will be responsible for developing and optimizing large-scale data pipelines, ensuring the availability and performance of data systems, and supporting advanced analytics and machine learning initiatives. If you are passionate about building systems from scratch, solving complex data challenges, and pushing the boundaries of what is possible with big data, this role is for you. What You ll Do: 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. What We re Looking For: 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. 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.

Lead and mentor a high-performing infrastructure engineering team. Design and maintain robust CI/CD pipelines using tools like Jenkins and Chef. Oversee the implementation of containerization solutions and manage deployments in Azure cloud environments. Ensure infrastructure security by conducting regular audits and implementing best practices. Manage and execute compliance frameworks such as SOC2, leading the team through multiple successful audit cycles Collaborate with cross-functional teams to integrate infrastructure solutions into product development workflows Oversee the maintenance and optimization of Linux-based systems and network configurations Develop and implement Bash scripts to automate processes and improve efficiency Partner with stakeholders to define and prioritize infrastructure projects aligned with business goals Stay updated on emerging technologies and compliance requirements to ensure the team remains at the forefront of innovation and security What We re Looking For: Minimum 10 years of professional experience in infrastructure engineering or related fields. At least 2 years of people management experience as a team lead or manager. Expertise in CI/CD tools like Jenkins and Chef. Strong proficiency in Bash scripting, Linux OS, and network fundamentals. Familiarity with Azure cloud services and containerization techniques such as Docker and Kubernetes. Proven experience working at product companies, managing production infrastructure at scale. Hands-on experience with security audits and compliance frameworks like SOC2. Demonstrated ability to lead teams through multiple successful audit cycles. Excellent communication and interpersonal skills, with a strong ability to collaborate across teams and mentor engineers. Preferred Skills: Knowledge of additional compliance frameworks (e.g., ISO 27001, HIPAA). Experience with Infrastructure as Code (IaC) tools like Terraform or Ansible. Familiarity with monitoring and logging tools such as Prometheus, Grafana, or ELK Stack Understanding of MLOps or DevOps best practices. At Neuron7.ai , we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in all aspects of our work.

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. What We re Looking For: 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. 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. What We Do and Value: At Neuron7.ai , we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in all aspects of our work

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. Ensure the backend systems are reliable, secure, and performant. Troubleshoot complex production issues and implement robust solutions. Mentor and provide technical guidance to junior and mid-level engineers. Stay updated on the latest technologies and trends in backend development and distributed systems. What We re Looking For: 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). 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.

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. Ensure the backend systems are reliable, secure, and performant. Troubleshoot complex production issues and implement robust solutions. Mentor and provide technical guidance to junior and mid-level engineers. Stay updated on the latest technologies and trends in backend development and distributed systems. What We re Looking For: 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). 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. Preferred Skills: Experience with Kubernetes, Docker, or other containerization tools. Familiarity with messaging systems like Kafka, RabbitMQ, or similar. Knowledge of CI/CD pipelines and automation tools. Knowledge of data pipelining frameworks such as PySpark, Flink or similar

About Us: Neuron7.ai is a rapidly growing AI-first SaaS company focused on creating a category-defining service intelligence product. Backed by top venture capitalists in Silicon Valley and a distinguished group of angel advisors/investors, we are recognized as a startup to watch. Our swift traction in the market underscores our mission to empower enterprises to make accurate service decisions at scale. Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data alongside insights from leading experts. In complex service environments such as high-tech devices, manufacturing, and medical devices Neuron7.ai helps service leaders excel in critical metrics like first-call resolution, turnaround time, and service margins. Learn more at Neuron7.ai . Why Join Us: At Neuron7.ai , you ll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. About the Team: As a Staff Data Scientist at Neuron7.ai , you will lead the design, development, and deployment of NLP-driven solutions for processing and analyzing large volumes of unstructured data. You will bring a deep technical skill set and a passion for innovation to launch impactful AI products to live users. You will also serve as a mentor to junior team members and collaborate closely with cross-functional teams and customers. What You ll Do: 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. Stay up-to-date with the latest advancements in NLP and machine learning techniques. Mentor junior data scientists and foster a culture of technical excellence within the team. Communicate complex technical concepts to non-technical stakeholders and customers. Partner with customers to understand their needs and translate them into technical solutions. What We re Looking For: 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. 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. Preferred Skills: Knowledge of MLOps practices for model deployment and monitoring. Familiarity with tools like Airflow, Spark, or similar data processing frameworks. Background in working with customer-facing applications and APIs. What We Do and Value: At Neuron7.ai , we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses. Paid sick leave. Latest MacBook Pro for your work. Comprehensive health insurance. Paid parental leave. Work from our vibrant Bengaluru office-Hybrid Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital status, or any other characteristic protected by law. If you re excited about building innovative backend solutions and want to be part of a forward-thinking team, we d love to hear from you!

We are looking for a talented Data Annotator to join our team for a 6-month contract position. In this role, you will be responsible for reviewing technical documents, translating them into visual formats like graphs and flowcharts, and ensuring accurate annotation of technical specifications. The ideal candidate will possess excellent communication skills, a solid understanding of technical documentation, and hands-on experience with data visualization. If you are passionate about transforming complex data into easy-to-understand visuals, have a knack for technical communication, and are comfortable working with flexible hours in a dynamic environment, this role might be a great fit for you. What You ll Do: 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. Clear Communication : Communicate technical details clearly and effectively, both in written form and verbal communication with internal teams. Time Management : Manage multiple tasks with an emphasis on meeting deadlines while maintaining flexibility in working hours, primarily within the PST time zone . What You ll Need: 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 . Excellent written and verbal communication skills to convey ideas and instructions effectively. 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. What We d Like to See: Familiarity with Diagramming and business process tools such as Microsoft Visio Previous experience with data annotation is a plus Fluency in an international language other than English is a plus.