AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Fullstack(React+Node)
Accelerate enterprise innovation and ROI with AI-driven strategic planning, data engineering, and automated software testing for Fortune 500 global companies.
Education Requirements:
Bachelor's degree in a related area
Experience Requirements:
7-10 years of overall experience in software programming
5-6 years of relevant experience in React.Js, Node.Js, SQL
Other Requirements:
Proficient in English
Proactive and independent work style
Shift: Afternoon Shift (12 PM - 9 PM IST)
Responsibilities:
Designs, modifies, develops, and implements software programming applications
Supports and/or installs software applications/operating systems
Participates in the testing process through test review and analysis
Performs a variety of tasks under general supervision
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Senior Data Engineer - Snowflake, DBT
Accelerate enterprise innovation and ROI with AI-driven strategic planning, data engineering, and automated software testing for Fortune 500 global companies.
Experience Requirements:
6+ years of experience in Data Engineering roles
Strong hands-on expertise in Snowflake
Extensive experience with dbt (Data Build Tool)
Advanced proficiency in SQL
Strong programming skills in Python
Other Requirements:
Solid understanding of ELT/ETL architecture
Experience with workflow orchestration tools such as Apache Airflow
Familiarity with CI/CD practices for data pipelines
Responsibilities:
Design, develop, and maintain scalable data pipelines using Python and modern ELT frameworks
Build and manage robust data warehouse solutions on Snowflake
Develop modular, tested, and documented data transformations using dbt
Implement best practices for analytics engineering
Optimize Snowflake performance through warehouse tuning and query optimization
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Senior Project Manager
Accelerate enterprise innovation and ROI with AI-driven strategic planning, data engineering, and automated software testing for Fortune 500 global companies.
Education Requirements:
Bachelor’s degree in Engineering/Technology
Project Management Professional (PMP) certification
Experience Requirements:
Minimum 10+ years of experience in software development
Minimum 5 years in project management
Other Requirements:
Proven track record of delivering projects on time and within budget
Strong leadership and communication skills
Ability to work effectively in a fast-paced, dynamic environment
Responsibilities:
Develop and maintain project plans, timelines, and budgets
Lead project teams to ensure objectives and deliverables are met
Monitor project progress and make adjustments for successful completion
Communicate regularly with stakeholders to provide updates
Provide mentorship and guidance to junior project managers
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Program Manager
Accelerate enterprise innovation and ROI with AI-driven strategic planning, data engineering, and automated software testing for Fortune 500 global companies.
Experience Requirements:
7–10+ years of experience in program management or technical project delivery
Strong experience with one or more enterprise MDM platforms
Other Requirements:
Understanding of Master data models & hierarchies
Understanding of Data quality processes & governance
Understanding of Data integration methods (ETL/ELT, APIs)
Knowledge of Data privacy and regulatory requirements (GDPR, CCPA)
Excellent communication and stakeholder management skills
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NodeJS Developer
Accelerate enterprise innovation and ROI with AI-driven strategic planning, data engineering, and automated software testing for Fortune 500 global companies.
Experience Requirements:
5+ Years of experience
Strong technical expertise in building Restful microservices using Node.js
Technical expertise in building API and UI
Other Requirements:
Strong architectural skills for scalable cloud applications
Good knowledge of API security and data encryption
Strong DevOps and Quality mindset
Curious & growth mindset
Responsibilities:
Design and Develop O2P’s platform (web application and APIs)
Contribute to DevOps functions in AWS cloud (Lambda, ECS, API Gateway, RDS)
Evaluate and adopt technology solutions to build the O2P platform
Use Unit Testing to build resilient solutions
Partner with business stakeholders to translate use cases into requirements
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Java Fullstack Developer
Accelerate enterprise innovation and ROI with AI-driven strategic planning, data engineering, and automated software testing for Fortune 500 global companies.
Experience Requirements:
5-7 years of overall experience
4-5 years of relevant experience
Hands-on experience with Java 8+, Spring Boot, and RESTful web services
Hands-on experience building frontend applications using React
Other Requirements:
Strong problem-solving skills with knowledge of data structures and algorithms
Experience with CI/CD tools (Docker, Jenkins)
Good understanding of widely used design patterns
Responsibilities:
Troubleshoot and resolve complex customer and production issues
Design, develop, and maintain backend services and frontend applications
Develop architecture relationships between subsystems
Ensure code meets performance goals and quality metrics
Work in an Agile environment following Scrum methodologies
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Senior Java Developer
Accelerate enterprise innovation and ROI with AI-driven strategic planning, data engineering, and automated software testing for Fortune 500 global companies.
Education Requirements:
Bachelor’s degree or equivalent in business analysis/process analysis or related discipline
Experience Requirements:
5+ Years of experience
Hands-on experience with Microservices using Java
Core Java expertise (Ver 1.8 and above)
Hands-on with Hibernate, Spring MVC, Spring Boot
Experience in NoSQL databases like Mongo DB, Cassandra, Postgres
Other Requirements:
Work Mode: Hybrid (3 days)
Hands-on experience with HTML/CSS, Javascript, Node.JS, Typescript
Hands-on experience in vibe coding tools like Copilot, Cursor
Experience with DevOps tools like Bamboo, Jenkins, Maven
Responsibilities:
Defining microservices from existing code base
Build, Unit testing, and deployment activities
Closely interact with QA and UI teams to debug issues
Provide timely feedback to Scrum leads and product management
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Lead Analyst (L2 Support)
Accelerate enterprise innovation and ROI with AI-driven strategic planning, data engineering, and automated software testing for Fortune 500 global companies.
Experience Requirements:
10+ years’ experience
Experience in data center infrastructure management
Familiarity with programming (SQL, Python)
Experience with Linux commands and shell scripting
Other Requirements:
Customer-first mindset
Ability to think strategically about resource allocation
Strong communication and negotiation skills
Responsibilities:
Analyzing and troubleshooting ML algorithms
Collaborating across organizational boundaries
Making decisions about trade-offs and resource allocation
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Data Scientist
Transform raw video footage into actionable operational insights using a no-code computer vision platform designed for manufacturing, logistics, and retail.
Education Requirements:
Strong mathematical and statistics background
Experience Requirements:
2 to 4 years of relevant industry experience
Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet
Experience in using design patterns, algorithms and data structures
Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib
Experience in model building
Other Requirements:
Experience in Linear algebra, statistics & Probability skills
Experience in feature engineering, model performance tuning, and optimizing machine learning models
Skills in Computer Vision and Deep Learning
Responsibilities:
Analyze large amounts of raw information to find patterns
Build data products to extract valuable business insights
Analyze trends to make better decisions
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Manager – Sales & Business Development
Transform routine CT and MRI scans into actionable health insights and structured reports to improve diagnostic accuracy and streamline clinical workflows.
Benefits:
Innovation-driven environment
Continuous learning opportunities
Collaborative team culture
Impactful work that saves lives
Experience Requirements:
5 - 7 years of experience in medical device, imaging, or healthtech enterprise sales
Proven track record of selling to hospitals and diagnostic centres
Other Requirements:
Familiarity with PACS/DICOM workflows
Familiarity with radiology reporting and AI-based imaging tools
Immediate joiner preferred
Responsibilities:
Lead growth across South India
Primary focus on Hyderabad and Bangalore regions
Represent Biocliq’s suite of innovative medical imaging technologies
Engage with hospitals, diagnostic centres, and surgical facilities
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CT Segmentation Specialist (Abdomen)
Transform routine CT and MRI scans into actionable health insights and structured reports to improve diagnostic accuracy and streamline clinical workflows.
Benefits:
Innovation-driven environment
Continuous learning opportunities
Collaborative team culture
Impactful work that saves lives
Experience Requirements:
3+ years
Other Requirements:
Immediate joiner preferred
Hands-on expertise in abdominal anatomy
Expertise in high-precision segmentation
Responsibilities:
Produce high-quality, pixel-precise abdominal segmentations
Support AI pipelines with reliable segmentation data
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Product Solutioning Expert
Optimize e-commerce post-purchase journeys with AI-powered tracking pages, intelligent returns management, and personalized shipping updates to boost loyalty.
Benefits:
Dynamic work environment with opportunities for career growth
Collaboration with industry leaders
Competitive salary and benefits package
Education Requirements:
Bachelor’s degree in Business, Computer Science, Engineering, or a related field
Experience Requirements:
4+ Years
3-5 years of experience in product management or product solutioning
Other Requirements:
Strong understanding of logistics and supply chain management
Proven track record of creating effective product solutions
Excellent communication and interpersonal skills
Experience with product lifecycle management and prototyping tools
Responsibilities:
Develop and recommend custom product solutions
Contribute to product roadmaps by identifying potential features
Work closely with Sales, Product, and Engineering teams
Engage with key customers to understand unique needs
Assist in designing prototypes and leading the solution testing process
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Senior Data Platform Engineer
Optimize e-commerce post-purchase journeys with AI-powered tracking pages, intelligent returns management, and personalized shipping updates to boost loyalty.
Benefits:
Health insurance
Generous vacation policy
Learning and development budget
Team events and company offsites
Company laptop and Devices
Experience Requirements:
5+ YOE
4-6+ years of experience in data engineering, data platform, or similar roles
Other Requirements:
Strong expertise with Databricks: Spark, Delta Lake
Proficiency in Python, SQL
Familiarity with cloud platforms (AWS, Azure, GCP)
Understanding of data governance and security
Ability to write clean, maintainable code
Responsibilities:
Design and build scalable data pipelines on Databricks
Implement and manage data architecture
Optimize data pipelines for performance, cost, and reliability
Collaborate with data science, product, and engineering teams
Provide technical leadership and mentor junior engineers
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Data Scientist
Deliver human-like AI conversations and automated resolutions for contact centers to lower costs and improve customer satisfaction across voice, email, and chat.
Benefits:
Be part of a rapidly growing company at the forefront of AI automation and conversational AI solutions
Shape solutions that make a measurable impact for Fortune 500 clients and leading European enterprises.
A culture comprised of diverse, global teams who have a passion for collaboration, creativity, and excellence
A competitive salary and scope for further advancement.
A great environment that promotes open feedback and a flat hierarchy
Education Requirements:
Strong understanding of fundamentals of Computer Science.
Experience Requirements:
Candidates should have 2-3 years of experience in the fields of machine learning, deep learning, LLM-based models, NLP, and data science.
Hands-on experience in developing & running machine learning applications in production.
Other Requirements:
Strong skills in Python.
Familiarity with training and serving large language models in production.
Hands on experience in building and implementing advanced statistical analysis and machine learning and data mining.
Responsibilities:
Responsible for design and development of deep learning & LLM based models on unstructured and Structured Data.
Focus on not just on designing the algorithm but also on delivering it at scale.
Build and deploy deep learning techniques in production.
Design and develop software modules that perform data ingest, data transform, and analytics tasks.
Deliver customized solutions in a timely manner.
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API Integration - Trainee
Deliver human-like AI conversations and automated resolutions for contact centers to lower costs and improve customer satisfaction across voice, email, and chat.
Benefits:
A culture comprised of diverse, global teams who have a passion for collaboration and client service
The ability to have an impact on a fast-growing startup and innovative and state-of-the-art AI products and solutions
A competitive salary and scope for further advancement
A great environment that promotes open feedback and a flat hierarch, working at Enterprise Bot is a refreshing mix of purpose, challenge, and fun
Education Requirements:
Bachelor's degree in computer science, information science, or similar.
Experience Requirements:
Basic knowledge of Node.js fundamentals.
Eagerness to learn lots of new technologies.
Other Requirements:
Excellent communication skills, both written and verbal.
Exceptional analytical and problem-solving aptitude.
Responsibilities:
Work with the integration teams at internal product & engineering teams.
Attend calls and translate conceptual system requirements into technical data and integration requirements.
Collaborate with team members to assist in the definition of project scope, deliverables, timelines, and develop standards and processes
Track and communicate the status of personal deliverables throughout the project lifecycle.
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Conversation Designer
Deliver human-like AI conversations and automated resolutions for contact centers to lower costs and improve customer satisfaction across voice, email, and chat.
Benefits:
Be part of a rapidly growing company at the forefront of AI automation and conversational AI solutions
Shape solutions that make a measurable impact for Fortune 500 clients and leading European enterprises.
A culture comprised of diverse, global teams who have a passion for collaboration, creativity, and excellence
A competitive salary and scope for further advancement.
A great environment that promotes open feedback and a flat hierarchy
Experience Requirements:
2-3 years of experience in conversation design, UX writing, or related fields with hands-on experience in chatbot or conversational AI projects.
Experience with conversation design tools (e.g., Voiceflow, Botmock, Dialogflow, or similar platforms).
Other Requirements:
Experience with CSM responsibilities will be an added advantage
Strong writing and communication skills
Solid understanding of natural language processing (NLP) and conversational AI technologies.
Ability to collaborate effectively with technical and non-technical teams.
A user-first mindset with a focus on designing seamless and natural experiences.
Strong problem-solving skills with the ability to adapt to changing project requirements.
A passion for conversational AI and delivering exceptional user experiences.
Responsibilities:
Design Conversational Flows: Create intuitive, engaging, and user-friendly conversation scripts for chatbots, virtual assistants, and other AI-driven interfaces.
User-Centric Design: Focus on understanding user needs and behaviors to craft conversations that are natural, empathetic, and aligned with business goals.
Collaborate with Cross-Functional Teams: Work closely with developers, product managers, and data scientists to ensure the implementation of designs.
Prototype and Test: Build conversation prototypes, conduct usability testing, and iterate on designs based on user feedback and analytics.
Maintain Consistency: Ensure consistency in tone, language, and brand voice across different channels and touchpoints.
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React / React Native Developer (3–6 Years Experience)
Enhance the automotive buying journey with immersive 3D configurators, AR, and AI-driven dealership agents that boost customer engagement and sales conversions.
Benefits:
Work on cutting-edge technologies at scale
Relocation support
Health benefits
Performance bonuses
Experience Requirements:
3–6 years of hands-on experience with React Native and React
Other Requirements:
Strong command over JavaScript and TypeScript
Proficient in iOS development and deployment
Solid experience with Next.js and SSR
Experience with Stripe SDK and RevenueCat integration
Knowledge of modern state management (Redux, Zustand)
Responsibilities:
Build and maintain mobile applications using React Native
Develop responsive web applications using React and Next.js
Integrate third-party SDKs and APIs
Collaborate with designers and product managers
Optimize applications for speed, scalability, and responsiveness
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Backend Engineer GoLang/Python
Streamline enterprise QA with no-code, AI-powered test automation that covers 200+ technologies from web to mainframe for faster, high-quality software releases.
Benefits:
Collaborative and growth-oriented work environment
Competitive compensation and benefits
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
Experience Requirements:
8–10 years of backend development experience in SaaS or large-scale applications
Other Requirements:
Proficiency in GoLang/Python
Strong expertise in MongoDB and Redis
Experience deploying workloads on Azure
Familiarity with CI/CD, Docker, and Kubernetes
Responsibilities:
Develop microservices and user-deployable logic in GoLang/Python
Implement robust API security with OAuth2 and JWT
Design efficient schemas, indexes, and queries in MongoDB
Deploy and manage services on Azure App Services and AKS
Design and implement event-driven and microservices architectures
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L1 Technical Support Engineer
Streamline enterprise QA with no-code, AI-powered test automation that covers 200+ technologies from web to mainframe for faster, high-quality software releases.
Education Requirements:
Bachelor’s degree in Engineering, Computer Science, or any technical field
Experience Requirements:
2 to 4 years of experience in technical support / QA automation/software support
Other Requirements:
Basic understanding of test automation concepts
Ability to read simple logs
Comfort with Linux/Windows command line
Strong communication and problem-solving skills
Ability to work in shifts if required
Responsibilities:
Act as the first point of contact via email, chat, and ticketing tools
Provide step-by-step assistance on basic product features and configuration
Troubleshoot fundamental issues related to test execution and connectivity
Log every issue with complete details in ticketing tools
Maintain SLA compliance for First Response Time and Initial Triage
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Director, Support Engineering (Data & AI)
Unify data, analytics, and AI on a single lakehouse platform to build production-ready generative AI applications while maintaining full data privacy and control.
Benefits:
Comprehensive benefits and perks
Education Requirements:
Bachelor’s/Master’s in Computer Science or equivalent technical field
Experience Requirements:
6+ years as a manager of managers
18+ years in the IT industry
Experience leading large teams of 100+ employees
Hands-on experience in Big Data (Spark, Hadoop, Kafka)
Experience in Machine Learning / AI projects
Other Requirements:
Strong background in customer-facing support leadership
Excellent troubleshooting skills across distributed systems
Strong ownership mindset
Ability to thrive in a fast-paced environment
Spark expertise is a big advantage
Responsibilities:
Lead and grow a regional team of Data & AI technical experts
Oversee support operations during APJ and EMEA hours
Ensure 24x7 support coverage through global coordination
Engage with top customers to understand business needs
Partner with product engineering to make products better
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