1791 Openai Jobs

Responsibilities: * Collaborate with cross-functional teams on project delivery. * Develop backend solutions using Python, FastAPI & AWS. * Optimize performance through Redis DB & Nginx.

Role & responsibilities Update from Client - Ideally, we are looking for a 60:40 mix, with stronger capabilities on the Data Engineering side, along with working knowledge of Machine Learning and Data Science conceptsespecially those who can pick up tasks in Agentic AI, OpenAI, and related areas as required in the future.

In this role, you will: Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts Identify opportunities for service quality and availability improvements within the technology domain environment Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements Provide information to technology colleagues, internal partners, and stakeholders Required Qualifications: 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Experience with Google ADK (preferred but not mandatory) AutoGen, and OpenAI APIs Strong verbal and written communication skills Job Expectations Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications

ServiceNow Development,ITSM and CSM,Open AI Integration,UI policies,JavaScript,LDAP,SOAP, REST,JavaScript,HTML,CSS,web technologies,ServiceNow Studio,AppEngine Leverage App Engine to build and automate custom applications on the ServiceNow platform.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Science Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Coaching and Feedback, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment {+ 21 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

About this role: Wells Fargo is seeking a Software Engineer-Gen AI. In this role, you will: Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts Identify opportunities for service quality and availability improvements within the technology domain environment Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements Provide information to technology colleagues, internal partners, and stakeholders Required Qualifications: 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Experience with Google ADK (preferred but not mandatory) AutoGen, and OpenAI APIs Strong verbal and written communication skills Job Expectations Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications Posting End Date: 1 Jul 2025 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Work Flexibility: Hybrid Senior Lead AI Engineer As a Sr Lead AI Engineer , you will drive innovation by contributing to the full software development lifecycle (SDLC) of AI solutions. This role involves conceptualizing, designing, developing, and implementing AI projects while providing essential technical leadership. Utilizing Microsoft-based technologies, including Copilot Studio, Azure Vision, Azure Language, and Azure OpenAI Service, you will develop scalable, stable, and secure AI solutions that meet business needs and efficiency objectives. Your expertise in AI and strong leadership skills will guide and inspire the team toward successful AI initiatives. What you will do: Requirement Analysis: Collaborate with business stakeholders to gather requirements and define solution objectives aligned with business goals. Development and Implementation: Lead AI solution implementation including data integration, model development, and deployment. Engineer and improve AI systems and tools. Build prototypes, POCs, and MVPs to bring solutions in a structured manner. Security and Compliance: Ensure AI solutions adhere to security best practices and data privacy regulations. Documentation and Training: Create technical documentation and best practice guidelines. Provide training on AI technologies. Monitoring and Maintenance: Implement monitoring to track AI solution performance and proactively address issues. Architecture: Design scalable, secure, and compliant AI solutions in collaboration with AI architects, integrating smoothly with existing IT infrastructure. Development and Implementation: Develop, test, and implement solutions following SDLC best practices, including version control, code review, and CI/CD processes. Quality Assurance and Testing: Execute comprehensive testing strategies and resolve defects. Integration and System Connectivity: Manage AI solution integration with internal and external systems, ensuring data consistency and interoperability. Documentation and Change Management: Produce detailed documentation for AI processes and handle changes with minimal disruption. Contribute to best practice development. What you need: Required Qualifications: Minimum 10 years in AI or data science roles, with a focus on building AI solutions on Azure. Proficient in Python or C#, with strong Azure cloud expertise. Skilled in Azure AI services (Copilot Studio, Cognitive Services, Machine Learning, OpenAI, Search, Blob Storage, Web App, Functions). Experience with LLMs, Generative AI, machine learning, NLP, and computer vision models. Preferred Qualifications: Knowledge of DevOps practices, CI/CD pipelines Azure certifications such as Azure AI Engineer Associate are a plus. Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Master's degree in Science preferred). Travel Percentage: 10%

Work Flexibility: Hybrid Senior AI Engineer: As an AI Engineer , you will drive innovation by contributing to the full software development lifecycle (SDLC) of AI solutions. This role involves conceptualizing, designing, developing, and implementing AI projects while providing essential technical leadership. Utilizing Microsoft-based technologies, including Copilot Studio, Azure Vision, Azure Language, and Azure OpenAI Service, you will develop scalable, stable, and secure AI solutions that meet business needs and efficiency objectives. Your expertise in AI and strong leadership skills will guide and inspire the team toward successful AI initiatives. What you will do: Requirement Analysis: Collaborate with business stakeholders to gather requirements and define solution objectives aligned with business goals. Development and Implementation: Lead AI solution implementation including data integration, model development, and deployment. Engineer and improve AI systems and tools. Build prototypes, POCs, and MVPs to bring solutions in a structured manner. Security and Compliance: Ensure AI solutions adhere to security best practices and data privacy regulations. Documentation and Training: Create technical documentation and best practice guidelines. Provide training on AI technologies. Monitoring and Maintenance: Implement monitoring to track AI solution performance and proactively address issues. Architecture: Design scalable, secure, and compliant AI solutions in collaboration with AI architects, integrating smoothly with existing IT infrastructure. Development and Implementation: Develop, test, and implement solutions following SDLC best practices, including version control, code review, and CI/CD processes. Quality Assurance and Testing: Execute comprehensive testing strategies and resolve defects. Integration and System Connectivity: Manage AI solution integration with internal and external systems, ensuring data consistency and interoperability. Documentation and Change Management: Produce detailed documentation for AI processes and handle changes with minimal disruption. Contribute to best practice development. What you need: Required Qualifications: 3-6 years in AI or data science roles, with a focus on building AI solutions on Azure. Proficient in Python or C#, with strong Azure cloud expertise. Skilled in Azure AI services (Copilot Studio, Cognitive Services, Machine Learning, OpenAI, Search, Blob Storage, Web App, Functions). Experience with LLMs, Generative AI, machine learning, NLP, and computer vision models. Preferred Qualifications: Knowledge of DevOps practices, CI/CD pipelines Azure certifications such as Azure AI Engineer Associate are a plus. Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Master's degree in Science preferred). Travel Percentage: 10%

Information Technology Location Gurugram, India Job Title: .NET Developer (AI-Integrated Systems) Job Description We’re building next-gen agentic systems that blend LLMs, APIs, and real-time data to create intelligent, adaptive solutions. Our platform powers custom AI agents and assistants, and we’re looking for .NET Developers to help us bring these systems to life through scalable, cloud-ready backend infrastructure. What You’ll Do Design and build robust backend services using .NET technologies. Integrate and manage data across SQL Server , MongoDB , and DynamoDB . Work with AWS services like Lambda and S3 to build serverless workflows. Collaborate with NLP engineers and AI teams to integrate OpenAI and Azure OpenAI capabilities. Contribute to REST API development, backend logic, and data pipelines. Participate in Agile/Scrum practices — sprints, standups, reviews. Occasionally interface with Python and Node.js components (no deep coding required). Help shape backend architecture and integration patterns for our AI-first products. Tech Stack You’ll Work With .NET SQL Server, MongoDB, DynamoDB AWS (Lambda, S3, etc.) OpenAI / Azure OpenAI Python & Node.js (for integration) REST APIs, microservices, serverless patterns Requirements Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, or a related field. Strong experience in backend development using .NET technologies. Comfortable working with both relational and NoSQL databases. Experience integrating third-party APIs and cloud services. Familiarity with AWS or other cloud platforms. Collaborative mindset — you’re a team player and communicate well. Comfortable working in Agile/Scrum environments. Exposure to OpenAI, Azure OpenAI, or similar LLM APIs. Nice to Have Experience with serverless architecture and event-driven systems. Some familiarity with Python or Node.js environments. Why Join Us? Be part of a cutting-edge AI product team that values innovation and execution. Work on exciting projects at the intersection of backend engineering and AI. Collaborate with friendly, talented teammates in a fast-moving environment. Help shape the future of how intelligent systems are built and deployed. Qualifications : Bachelor's degree in Computer Science, Engineering, or a related field. 10+ years of experience in .NET development, with a strong focus on C# and ASP.NET. Proven experience in designing and implementing complex software solutions. Strong understanding of object-oriented programming and design patterns. Experience with front-end technologies such as HTML, CSS, JavaScript, and frameworks like Angular or React. Proficiency in database design and development using SQL Server or other relational databases. Excellent problem-solving skills and attention to detail. Strong communication and leadership skills, with the ability to work effectively in a team environment. Experience with cloud platforms such as Azure or GCP. Location: IND Gurgaon - Bld 14 IT SEZ (GST) Language Requirements: Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents

Software Engineer – AI/ML/LLM/Data Science Company Overview: Entra Solutions (A BSI Financial Services company) is a FinTech company specialized in technology based financial solutions and services for the mortgage Industry. We are a people-focused, growth-oriented, innovative company and we're looking for people like you to make a positive change and join our team today! We are looking for an innovative Software Engineer – AI/ML/LLM/Data Science to design, develop, and deploy AI-driven solutions using Machine Learning, NLP, and Large Language Models (LLMs). The ideal candidate will work with Python to build and optimize retrieval-augmented generation (RAG) systems, LLM fine-tuning, and vector search technologies. You will develop scalable AI pipelines, ensuring high performance and seamless integration with cloud and on-prem environments. This role involves MLOps best practices, AI model optimization, and deployment of intelligent applications. WHAT YOU WILL DO: Develop, fine-tune, and deploy AI/ML models and LLM-based applications for real-world use cases. Build and optimize retrieval-augmented generation (RAG) systems using Vector Databases (e.g., ChromaDB, Pinecone, FAISS). Work on LLM fine-tuning, embeddings, and prompt engineering to enhance model performance. Develop end-to-end AI solutions with APIs using FastAPI, Flask, or similar frameworks. Build and maintain scalable data pipelines for training and inferencing AI models. Deploy and manage models using MLOps best practices on AWS or Azure. Optimize AI model performance for low-latency inference and scalability. Collaborate with cross-functional teams (Product, Engineering, Data Science) to integrate AI capabilities into applications. WHAT WE’RE LOOKING FOR: Must Have: Proficiency in Python – Strong hands-on experience in AI/ML frameworks like TensorFlow, PyTorch, Hugging Face, LangChain, OpenAI APIs. Good to Have: Experience with LLM fine-tuning, embeddings, and transformers. Knowledge of NLP, vector search technologies (ChromaDB, Pinecone, FAISS, Milvus). Experience in building scalable AI models and data pipelines with Spark, Kafka, or Dask. Familiarity with MLOps tools (Docker, Kubernetes, CI/CD for AI models). Hands-on experience in cloud-based AI deployment (AWS Lambda, SageMaker, GCP Vertex AI, Azure ML). Knowledge of prompt engineering, GPT models, or knowledge graphs. WHAT’S IN IT FOR YOU? Competitive Salary & Full Benefits Package PTOs / Medical Insurance Exposure to cutting-edge AI/LLM projects in an innovative environment Career Growth Opportunities in AI/ML leadership Collaborative & AI-driven work culture EEO Statement We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

Job Title: NLP Engineer Job Description Job Title: NLP Engineer (Applied AI & Agentic Systems) About Us We’re building the next generation of AI-powered agentic systems — intelligent bots, assistants, and custom AI agents that integrate with APIs, databases, and business logic to drive real value. Our platforms focuses on practical, scalable AI applications rather than pure research — and we’re looking for NLP engineers who can help us push the boundaries. What You’ll Do Build and fine-tune LLM-powered agents and assistants using cutting-edge NLP techniques. Design and implement workflows that combine natural language processing with API calls, database queries, and business logic. Evaluate and apply the right LLMs (OpenAI, Claude, Mistral, etc.) and fine-tune when necessary. Collaborate with cross-functional teams to understand product needs and shape AI-based solutions. Help teams integrate AI into their projects by providing technical guidance and best practices. Develop prompt engineering strategies and reusable agent components. Stay up to date with the latest trends in NLP, LLMs, RAG (Retrieval-Augmented Generation), and agentic frameworks like LangChain, AutoGen, etc. Participate actively in Agile/Scrum processes — sprint planning, standups, retrospectives, and continuous delivery. Be a strong team player — communicative, proactive, and focused on shared success. What We’re Looking For Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, AI or a related field. 2+ years of hands-on experience working with NLP or LLMs in a production or applied research setting Solid understanding of NLP concepts — embeddings, tokenization, entity recognition, summarization, etc. Experience with modern LLMs and foundational models (OpenAI, Hugging Face, etc.). Familiarity with agentic frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI or similar). Comfortable integrating with REST APIs, SQL/NoSQL databases, and basic backend logic. Experience with prompt engineering and chaining LLM calls into workflows. Strong problem-solving skills and the ability to architect solutions without excessive boilerplate code. Bonus: Experience with vector databases (e.g., Pinecone, Weaviate), RAG pipelines, or fine-tuning models. Nice to Have Knowledge of Python and working with AI SDKs. Qualifications: Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, or a related field. 2/3+ years of experience in natural language processing or a related field. Proficiency in programming languages such as .NET or Python, with experience in NLP libraries. Experience with text preprocessing techniques and tools. Familiarity with cloud platforms and services for deploying/configuring the Gen AI Bot . Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Location: IND Gurgaon - Bld 14 IT SEZ (GST) Language Requirements: Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. About the Group: Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you’ll also get to visit other locations in India and globe, so you’ll need to go where this job takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! Key Responsibilities: We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will: Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). Build intelligent systems that understand natural language queries and automate complex workflows. Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. Prototype and productize tools that leverage code understanding, profiling, and data analysis. Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. Work on prompt engineering, few-shot learning, and tool use orchestration What We’re Looking For: Must-Have: Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). We are looking for candidates with 2-4 years of proven experience. Strong working knowledge of LangChain, RAG pipelines, and vector stores. Strong understanding and experience in application of Deep Learning models like ANNs and transformers. Experience in developing AI agents or copilots that interface with tools or external APIs. Proficiency in Python; familiarity with software design patterns and clean code. Practical experience in data preprocessing, feature engineering, and model evaluation. Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have : Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us? Work on cutting-edge AI R&D projects with real product impact! Be part of a startup-like team within a global tech company. Opportunity to lead innovation, publish internally, and drive industry-first solutions. Competitive compensation, flexibility, and a collaborative culture. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, variable pay, other benefits, pension, healthcare and actively support working from home. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Transform the everyday #DVT

Role : AI Research Engineer Industry Type : IT & Development Department: Xtec Global | Research & Development Employment Type : Full Time, Permanent Experience : Fresher Location: Rudra Tower, Plot NO. F-163, Phase 8B, Industrial Area, Sector 74, Sahibzada Ajit Singh Nagar, Punjab 140308, India About Company At Xtec Global, we are on a mission to build intelligent, efficient, and scalable systems that empower teams through AI innovation. We’re looking for a curious and analytically strong AI Research Engineer (Trainee) who is excited to explore the latest AI tools and technologies, conduct real-world research, and support development teams by keeping them up to date with the ever-evolving AI ecosystem. Responsibility Work closely with Project Managers to understand product requirements and contribute to planning and development strategies Research and evaluate AI tools, APIs, and frameworks (e.g., OpenAI, Hugging Face, LangChain, Claude, Gemini, Vertex AI) and recommend the most suitable options for team use. Share findings with the development team and train or guide them on how to implement these tools effectively Collaborate with senior researchers and engineers to design, prototype, and test new AI-driven features Evaluate and fine-tune AI models for performance, reliability, and practical use in code generation and analysis Integrate and test AI components within existing product infrastructure in collaboration with product and engineering teams Track and analyse AI trends, adapt state-of-the-art public research into working prototypes, and contribute to internal R&D knowledge base Continuously propose innovative applications of AI to enhance development workflows and reduce manual effort Required Skills & Qualifications Bachelor’s degree (or final-year student) in Computer Science, Artificial Intelligence, Data Science, or a related technical field Strong analytical thinking and a passion for solving complex problems Excellent research skills with the ability to analyze, summarize, and present findings clearly Team-oriented mindset with the ability to collaborate, mentor peers, and communicate ideas effectively A fast learner who keeps up with the latest advancements in AI and technology What You’ll Gain Exposure to real-world AI product development Opportunity to lead and influence tech decisions through tool evaluation A learning culture focused on growth, innovation, and real impact How to Apply Send your resume to hr@xtecglobal.com with the subject line: “Application – AI Research Engineer – [Your Name]” Job Types: Full-time, Permanent Pay: ₹8,000.00 - ₹12,000.00 per month Schedule: Day shift Weekend availability Work Location: In person

Position Overview We are seeking a highly skilled and dynamic Cloud Solution Architect (Level 2) to join our forward-thinking technology team. In this pivotal role, you will be at the heart of solution delivery, acting as the technical backbone for presales activities and collaborating closely with our clients to design, develop, and implement secure, scalable, and efficient cloud solutions. You will primarily work with Microsoft Azure, focusing on the most in-demand services as dictated by today’s rapidly evolving market requirements. Key Responsibilities Client Engagement and Presales Support: Collaborate with sales teams to understand client requirements and translate them into robust Azure solutions. Conduct workshops, technical presentations, and product demonstrations to showcase Azure capabilities and value propositions. Assist in the development of proposals, statements of work (SOW), and responses to RFPs/RFIs, offering expert input on solution design and architecture. Build and maintain relationships with key stakeholders, ensuring a clear understanding of business objectives and technical needs. Solution Architecture And Design Design and architect Azure-based solutions tailored to different industries and client needs, aligning with best practices and organizational standards. Evaluate and select Azure services that align with client goals, such as Azure App Services, Azure Functions, Azure Kubernetes Service (AKS), Azure Logic Apps, Azure Synapse Analytics, and Azure DevOps. Ensure solutions are secure, compliant, and optimized for cost, performance, and scalability. Prepare high-level and detailed architecture diagrams, documentation, and technical specifications. Advise clients on cloud adoption strategies, migration roadmaps, and transformation journeys. Implementation Guidance Work closely with delivery teams to ensure successful implementation of designed architectures. Provide technical leadership during project execution, serving as a subject matter expert for Azure services. Oversee proof-of-concept (POC) initiatives, pilot deployments, and solution validations. Market Awareness And Continuous Learning Stay updated on the latest Azure services and features, as well as industry trends and emerging technologies such as AI, machine learning, serverless computing, and cloud-native development. Regularly assess market demands and identify opportunities to incorporate innovative Azure offerings into solution portfolios. Attend webinars, conferences, and workshops to foster professional growth and knowledge exchange. Collaboration And Knowledge Sharing Mentor and guide junior architects and engineers in best practices for Azure architecture and presales engagement. Develop and maintain architectural standards, templates, and reusable solution components. Participate in internal knowledge-sharing sessions to elevate overall team proficiency. Required Skills And Qualifications Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. Master’s degree preferred but not mandatory. Experience: 3-6 years of relevant experience in cloud solution architecture, with a focus on Azure services. Demonstrated experience in presales activities, including client engagement, solution presentations, and proposal development. Hands-on exposure to designing and implementing Azure solutions across multiple domains (e.g., application modernization, data analytics, DevOps). Technical Competencies Expertise in core Azure services such as Azure Virtual Machines, Azure App Services, Azure Functions, Azure SQL Database, Azure Cosmos DB, Azure DevOps, Azure Kubernetes Service (AKS) & Container Instance, Azure Functions & Serverless Architectures, Azure Fabric, Azure Data Factory, and Data Lake services, Azure AI & Machine Learning services (Azure Cognitive Services, Azure OpenAI, etc.) , Azure Logic Apps & Automation, Azure DevOps & CI/CD Pipeline Integration, Azure Security and Compliance (Sentinel, Defender, Policy). Azure Virtual Desktop and Virtual Networking, Hybrid and multi-cloud integration (Azure Arc) Experience with Infrastructure as Code (IaC) using ARM templates, Bicep, or Terraform. Familiarity with CI/CD pipelines, automation, and cloud security best practices. Good understanding of hybrid and multi-cloud architectures, networking, identity management, monitoring, and cost optimization within Azure. Knowledge of APIs, microservices, and serverless architecture patterns. Comfortable with scripting languages such as PowerShell or Azure CLI. Presales & Communication Skills Strong consultative and presentation skills to engage with technical and non-technical audiences. Capable of translating business requirements into technical solutions and vice versa. Excellent written and verbal communication abilities for proposal writing, documentation, and client interactions. Demonstrated ability to articulate complex technical concepts in a clear and concise manner. Certifications Azure Solutions Architect Expert (AZ-305) or equivalent certifications strongly preferred. Additional certifications such as Azure DevOps Engineer, Azure Security Engineer, or similar are advantageous. Other Skills Analytical mindset with a passion for solving challenging business and technology problems. Ability to work independently and in cross-functional teams. Strong organizational skills and attention to detail. Self-motivated, adaptable, and committed to continuous improvement. Location: Mumbai - ESPL, Mumbai, Maharashtra, India (IN002 - EMBI

About Us We're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft. We've been working on this together since 2016, and have customers like OpenAI, Toyota, Figma, Ramp, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide. Notion is an in person company, and currently requires its employees to come to the office for two Anchor Days (Mondays & Thursdays) and requests that employees spend the majority of their week in the office (including a third day). About The Role We're looking for a Recruiting Coordinator & Sourcer to join our growing People team. In this hybrid role, you'll play a critical part in shaping the candidate experience while helping us scale thoughtfully and efficiently. This is a 6-month contract role to start with. Based on performance and business needs, there may be an opportunity for a full-time position or an extension of the contract. You'll own the scheduling and coordination process, partner closely with recruiters and hiring managers, and engage top-tier talent across technical roles. If you're highly organized, curious, and energized by finding great people and creating smooth processes, we’d love to meet you. What You'll Do Manage smooth candidate-friendly scheduling across multiple time zones, tools, and interview panels—ensuring every interaction reflects our team's thoughtfulness and care Partner with recruiters to build structured and efficient recruiting workflows that help us scale while maintaining a high bar Schedule interviews using our ATS, along with other scheduling and collaboration tools as needed Support sourcing efforts by identifying and engaging qualified candidates for technical roles across platforms such as LinkedIn, job boards, social media, and professional networks Collaborate closely with recruiters and hiring managers to deeply understand each role and define target profiles Collaborate with recruiters to understand role requirements and define target candidate profiles Conduct initial candidate screenings to assess basic technical fit and overall interest What We're Looking For Minimum 2 years of experience in interview scheduling and calendar management Experience sourcing for technical roles and partnering closely with recruiters to drive successful hires Strong ability to identify and implement efficient recruiting workflows and process improvements Hands-on experience with Applicant Tracking Systems (ATS) and scheduling tools (e.g., Greenhouse, Ashby, GoodTime, etc.) Excellent communication, stakeholder management, and interpersonal skills Exceptionally organized, proactive, and adaptable—comfortable working in fast-paced and ambiguous environments Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.

Agentic AI Engineer | 6+ Years | Remote | Work Timings: 2:00 PM to 11PM Job Description: AI/ML Model Development & Deployment – Focused on marketing and operations use cases Deep Learning – CNNs, RNNs, Transformers, Attention Mechanisms Generative AI – Experience with OpenAI (GPT, DALL·E, Whisper) and Anthropic (Claude) Agentic AI Platforms – AutoGen, CrewAI, AWS Bedrock Multimodal AI – Building agents using text, voice, and other inputs for automation Python Programming – Proficient with NumPy, Pandas, Matplotlib, TensorFlow, PyTorch Traditional ML Techniques – Supervised/Unsupervised Learning, PCA, Feature Engineering, Model Evaluation, Hyperparameter Tuning Data Analytics – Predictive analysis, clustering, A/B testing, KPI monitoring MLOps & CI/CD – Model versioning, deployment pipelines, monitoring Cloud Services – AWS (S3, Lambda, EC2, SageMaker, Bedrock), Serverless architectures Development Tools – Proficient in using Cursor for design, development, and code reviews Communication & Collaboration – Strong communication skills and client engagement experience Domain Expertise – Marketing-focused AI solutions (big plus)

Senior Data Scientist GenAI | Azure | RAG | NLP | CV Job Description: We are looking for an experienced Data Scientist with strong expertise in Python programming , Azure AI services , and GenAI-based solution development . The ideal candidate should have hands-on experience in building RAG (Retrieval-Augmented Generation) based solutions , working with LLMs , and deploying AI applications using modern MLOps practices. Key Responsibilities: Design, develop, and deploy GenAI/LLM-powered solutions using Azure OpenAI , FastAPI , and RAG architecture . Leverage Form Recognizer , Cognitive Search , Embeddings , and Vector DBs for intelligent document processing and retrieval. Implement NLP and Computer Vision models for real-world use cases. Perform data preparation, chunking , and embedding generation for knowledge retrieval. Develop, monitor, and maintain CI/CD pipelines for model training and deployment. Work with NoSQL/Vector databases (e.g., CosmosDB, Pinecone, FAISS). Create dashboards and visualizations using tools like Power BI , Plotly , or Matplotlib . Collaborate with cross-functional teams to translate business needs into technical solutions. Stay up-to-date with the latest in ML/Deep Learning , transformer models , and GenAI research . Required Skills: Strong Python programming with expertise in data science libraries (NumPy, Pandas, Scikit-learn, etc.) Azure Services: OpenAI, Cognitive Services, Form Recognizer, Azure ML GenAI: OpenAI APIs, Prompt Engineering, LangChain, RAG FastAPI for model serving and deployment NLP, CV, Deep Learning with frameworks like TensorFlow or PyTorch CI/CD pipelines for model training and deployment Experience with Vector DBs (FAISS, Pinecone, Weaviate) Embedding techniques, Chunking strategies, and Retrieval methods Data visualization skills (Matplotlib, Seaborn, Power BI) Familiarity with NoSQL database

About the Role We are seeking a highly skilled and innovative AI Agent Developer with expertise in building intelligent agents using Large Language Models (LLMs) and integrating them with automation systems. The ideal candidate will have a deep understanding of prompt engineering, agent orchestration, tool integration, and automation workflows across APIs, web apps, and enterprise tools. Responsibilities Design, develop, and deploy AI agents powered by LLMs (e.g., GPT-4, Claude, Gemini). Integrate AI agents with tools, APIs, databases, and automation frameworks. Develop reusable prompt chains and workflows for common tasks and decision-making processes. Utilize frameworks such as LangChain, AutoGen, CrewAI, or Semantic Kernel to manage multi-agent architectures. Fine-tune or instruct LLMs for specific use-cases or industry applications. Optimize performance, reliability, and cost-efficiency of AI workflows. Collaborate with data scientists, product managers, and engineers to design end-to-end AI solutions. Implement automation in internal tools, customer interactions, or operational pipelines using AI agents. Requirements Must-Have: Strong experience with LLMs such as OpenAI GPT, Anthropic Claude, or Meta Llama. Hands-on experience with agentic frameworks (LangChain, AutoGen, CrewAI, etc.). Proficient in Python and relevant AI libraries (e.g., HuggingFace, Transformers, LangChain). Solid understanding of prompt engineering and retrieval-augmented generation (RAG). Knowledge of automation tools like Zapier, Make, Airflow, or custom Python automation. Experience working with APIs, webhooks, and data integrations. Nice-to-Have: Experience with vector databases (e.g., Pinecone, Weaviate, FAISS). Knowledge of fine-tuning or customizing open-source LLMs. Familiarity with cloud platforms (AWS, GCP, Azure) and deployment of AI solutions. Experience with UI/UX for chatbot or agent interfaces.

Key Responsibilities: Design, build, and deploy scalable NLP/ML models for real-world applications. Fine-tune and optimize Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. Work with transformer-based architectures (e.g., BERT, GPT, LLaMA, T5, etc.). Develop GenAI applications using frameworks such as LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). Write clean, efficient, and testable Python code. Collaborate with data scientists, software engineers, and stakeholders to define AI- driven solutions. Evaluate model performance and iterate rapidly based on user feedback and metrics. Required Skills s Qualifications: 3+ years of experience in Python programming with strong understanding of ML pipelines. Solid understanding and experience in NLP, including text preprocessing, embeddings, NER, sentiment analysis, etc. Proficiency in ML libraries: scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, spaCy. Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases (e.g., FAISS, ChromaDB). Strong problem-solving and communication skills. Ability learn new tools, to work independently and collaboratively in a fast-paced environment Attention to detail and accuracy Preferred Skills. Theoretical knowledge of or experience in Data Engineering, Data Science, AI, ML, RPA or other related domains. Certification in Business Analysis or Project Management from a recognized institution. Experience in working with agile methodologies such as Scrum or Kanban. Company Profile : Space Inventive is an innovative and dynamic company that specializes in leading businesses through transformative journeys in the digital era. They are pioneers in driving innovation and helping organizations transition into digitally mature entities. With a wide range of cutting-edge services, including web enterprise application development, AI & ML development, cloud engineering, data engineering, and business intelligence, Space craft's tailor-made solutions to meet each client's unique challenges. Their integrated approach combines strategic vision with digital expertise, empowering businesses to create new models, modernize legacy systems, and launch market-ready digital products and platforms. Having served esteemed clients like Novartis, BMS, StarRez, among others, Space has a proven track record of success.

About the Company We are seeking a highly skilled Senior AI/ML Engineer to join our team in a hybrid (offshore) role. The ideal candidate will have a strong background in machine learning engineering, particularly with the Databricks ML stack, Python, and ML Ops. This role focuses on developing, deploying, and maintaining high-performance machine learning models. Experience with Azure Cognitive Services, Azure OpenAI, and AI governance will be an added advantage. About the Role The Senior AI/ML Engineer will be responsible for various aspects of machine learning development, ML Ops, model performance, Azure integration, AI governance, and collaboration with cross-functional teams. Responsibilities Machine Learning Development: Design, develop, and deploy machine learning models using the Databricks ML stack. Write efficient and scalable code in Python for model training and evaluation. Implement feature engineering, data preprocessing, and model tuning techniques to enhance model performance. ML Ops: Establish and manage ML Ops pipelines for continuous integration and continuous deployment (CI/CD) of machine learning models. Automate model training, testing, and deployment processes to ensure robust and reliable model performance. Monitor and maintain deployed models to ensure they meet performance and reliability standards. Model Performance: Conduct rigorous testing and validation of machine learning models to ensure accuracy, efficiency, and scalability. Utilize performance metrics to assess model effectiveness and make data-driven improvements. Collaborate with data scientists and engineers to troubleshoot and resolve model performance issues. Azure Integration: Integrate machine learning models with Azure services, leveraging tools like Azure Cognitive Services and Azure OpenAI. Utilize Azure resources for model training, deployment, and management. Explore and implement AI solutions using Azure's advanced capabilities. AI Governance: Ensure compliance with AI governance policies and best practices. Implement ethical AI practices and contribute to the development of governance frameworks. Monitor and address potential biases and ethical concerns in machine learning models. Collaboration and Coordination: Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders. Coordinate with offshore teams to ensure seamless collaboration and project alignment. Participate in team meetings, providing insights and updates on project progress. Required Skills Strong background in machine learning engineering, particularly with the Databricks ML stack, Python, and ML Ops.,Rag,GenAI,Chatbot

About Us PracticePanel is a cutting-edge platform helping candidates prepare for job interviews with mock assessments and AI-driven feedback. RcruitPanel is our AI-led Applicant Tracking System (ATS), designed to simplify and automate recruitment processes for modern hiring teams. We are scaling fast and looking for a skilled Python Backend Developer to join our team in building scalable, efficient, and secure backend systems for both platforms. Key Responsibilities Design, build, and maintain backend services using Python (preferably FastAPI or Django) Develop RESTful APIs to support frontend and third-party integrations Implement secure authentication and authorization systems Work with PostgreSQL / MySQL and design efficient data models Optimize backend performance and handle large-scale concurrent traffic Integrate with services like AWS (Lambda, S3, EC2, RDS), Redis, Celery, or similar Collaborate with frontend developers and product teams to deliver new features Write clean, maintainable code with proper testing (unit & integration tests) Maintain Git repositories and follow agile practices (JIRA or Trello boards) Requirements 2–5 years of professional experience as a Python Developer Strong understanding of web frameworks (FastAPI, Flask, Django) Experience working with relational databases (PostgreSQL or MySQL) Proficient in API design and system architecture Understanding of asynchronous programming and message queues (e.g., Celery, RabbitMQ, or Kafka) Familiarity with Docker , CI/CD pipelines , and Linux-based deployments Experience with cloud services , preferably AWS Excellent problem-solving and debugging skills Strong communication and collaboration skills Bonus Skills Experience with AI/ML pipelines or OpenAI APIs Prior work on ATS or HR Tech platforms Familiarity with frontend tech (React, Next.js) for occasional integration work Knowledge of GraphQL or WebSocket APIs Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹500,000.00 per year Location Type: In-person Schedule: Day shift Ability to commute/relocate: Kharar, Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 2 years (Preferred) Work Location: In person Speak with the employer +91 7837176960

Senior Data Scientist We are seeking a highly skilled and motivated Data Scientist with expertise in Natural Language Processing (NLP), Computer Vision (CV), Generative AI , and Python-based API development . The ideal candidate will have strong experience working with unstructured data, building and deploying AI models, and working in cloud-native environments (GCP preferred) . This role will focus on building scalable, real-world AI/ML solutions, collaborating with cross-functional teams, and contributing to AI-driven innovation. Key Responsibilities: Design and develop robust NLP and CV models to extract insights from text and image data. Work with Generative AI frameworks (e.g., Hugging Face, OpenAI) to build and fine-tune LLMs for real-time applications. Build and expose AI models as APIs using FastAPI or similar Python frameworks. Perform advanced data preprocessing, feature extraction, model training, and evaluation . Implement scalable AI solutions leveraging Google Cloud Platform (GCP) services such as Vertex AI and BigQuery. Collaborate with data engineers, ML engineers, and business stakeholders to define and execute AI/ML strategies. Keep up with emerging trends in AI/ML, particularly in GenAI and foundation models, and apply them to solve real-world problems. Required Skills: Core Technical Skills: Proficiency in Python with solid understanding of Object-Oriented Programming (OOPs) Experience in: Natural Language Processing (NLP) – sentiment analysis, NER, text classification Computer Vision (CV) – image processing, OCR, object detection Generative AI – working with Hugging Face Transformers, LLM APIs, prompt engineering Strong understanding of ML algorithms , deep learning frameworks (PyTorch/TensorFlow) API development using FastAPI Cloud & MLOps Skills: Hands-on experience with Google Cloud Platform (GCP) , especially: Vertex AI BigQuery Cloud Functions/Run Familiarity with containerization tools (e.g., Docker ) and Git-based version control Understanding of MLOps practices – model lifecycle, CI/CD for ML Good to Have: Experience working with Hugging Face model hub , OpenAI APIs Knowledge of LangChain , RAG pipelines , or similar GenAI orchestration tools Exposure to responsible AI practices , model explainability, and bias detection Basic understanding of data engineering workflows Soft Skills: Excellent problem-solving and analytical skills Strong communication and collaboration across technical and non-technical teams Ability to work in agile and fast-paced environments Continuous learning mindset with an interest in AI innovation Experience : 5Yrs to 12 Yrs Location : Chennai/Pune/Coimbatore/Bangalore Notice Period : Immediate Regards, TA Team KANINI Software Solutions

🎯 Job Title: Full Stack Developer (AI-Ready, Early Team Member) 📍 Location: Gurgaon, Haryana 📅 Experience: 1–2 Years 💼 Type: Full-time | Founding Team Role 🚀 Industry: AI SaaS 👋 About Us We’re building a new kind of AI-powered productivity platform. Imagine a smart assistant that doesn’t just chat — it executes, automates, and scales real business workflows. We're starting lean, shipping fast, and building in public. If you want to create something truly useful — from the ground up — this is your chance. 💻 What You’ll Do Build full-stack web features using modern frameworks (React + Node/Django) Integrate AI tools (OpenAI, LangChain, RAG pipelines, etc.) into real workflows Design intuitive UI/UX for onboarding, payroll, and Copilot modules Collaborate directly with the founder on fast product iterations Help set up databases, basic auth, APIs, and deploy on GCP or Vercel Solve real business problems with fast, clean code — not bloated systems 🧠 You Might Be a Fit If You... Have 1–2 years of experience building full-stack web apps Are fluent in React.js and Node.js (or Django/FastAPI) Have toyed with or built tools using OpenAI, LangChain, or Hugging Face Love startup energy, shipping fast, and figuring things out Care about performance, readability, and user experience Want to contribute beyond just code: product ideas, UX, growth hacks 🌟 Bonus Points For Experience with Firebase, Supabase, or Firestore Familiarity with GPT-based tools, embeddings, or vector databases (like Pinecone/Weaviate) Side projects, hackathon wins, or GitHub you’re proud of Prior work on HRMS, workflow automation, or productivity tools 🚀 What You’ll Get A chance to build an AI product from day one Direct mentorship and ownership of core features Flexible work hours, async-first team culture Visibility into product, design, and go-to-market

We’re looking for a hands-on AI/ML engineer to design, build, and deploy Generative AI and LLM solutions at scale. What You’ll Do: Design and implement ML and GenAI models to solve real-world problems. Build RAG pipelines using enterprise data and LLMs (OpenAI, HuggingFace, etc.). Integrate LLM-based chatbots with enterprise systems and domain data. Deploy solutions using Azure ML, Azure OpenAI, Azure Functions, etc. Fine-tune LLMs for domain-specific tasks and performance. Collaborate with DS, MLOps, and engineering teams for CI/CD and operationalization. Stay current with GenAI innovations and apply them to platform evolution. Skills We’re Looking For: 4–9 years of experience in AI/ML/Data Science. Strong Python with PyTorch, TensorFlow, HuggingFace, LangChain. Cloud: Azure (preferred), AWS or GCP also considered. Experience with Azure ML, Azure Cognitive Services, Azure OpenAI. Familiarity with RAG architectures and vector DBs (e.g., Pinecone, Weaviate, Azure AI Search). Bonus: Databricks, Spark, Docker/K8s, prompt engineering, chatbot frameworks. Domain Experience: BFSI (banking, fintech, insurance) preferred. Working model: Hybrid Work Locations: Bengaluru, Chennai, Hyderabad, Pune, Coimbatore, Gurugram, Mumbai Ready to build the future with GenAI? Apply now!

Senior Data Scientist Location: Remote (Sri Lanka or Global – flexible timezone overlap preferred) Type: Full-time Salary: $4,000 – $6,000/month Company: Huex About Huex Huex helps global companies build high-performance product teams using Sri Lanka’s top 3%™ talent , enhanced by our proprietary aiBoost™ framework . From healthcare and fintech to real estate and AI startups, our teams deliver scalable, innovative solutions at startup speed. We’re now looking for a Senior Data Scientist to lead high-impact data science projects across our client base—building intelligent systems, AI-integrated features, and performance-driven models that accelerate decision-making and product outcomes. What You’ll Be Doing Design, develop, and deploy ML models and data pipelines for real-world client applications Build recommendation engines, scoring systems, and predictive tools using behavioral and transactional data Collaborate with product, engineering, and design teams to embed data intelligence directly into customer-facing platforms Leverage AI tools (e.g., LLMs, embeddings, OpenAI APIs) to automate content, messaging, or decision-making flows Create dashboards and insights that drive decisions for clients and internal teams Mentor junior data professionals and contribute to internal documentation and best practices Work on a wide range of projects, from PoCs to production-ready models, across industries like proptech, healthtech, and retail Tools & Tech Stack Languages: Python, SQL ML/NLP Libraries: scikit-learn, XGBoost, HuggingFace, TensorFlow, PyTorch Data Engineering: Pandas, Airflow, DBT, Postgres, Snowflake Visualization: Looker, Streamlit, Power BI, or Metabase Bonus: Experience with LLM APIs, vector databases, or prompt engineering Must-Have Qualifications 5+ years of experience as a data scientist or ML engineer in production environments Strong grasp of data modeling, statistics, and experimentation Experience building and deploying end-to-end ML pipelines Excellent communication skills to work cross-functionally with remote teams and clients Ability to manage multiple projects and ship high-quality work under tight timelines Bonus Points Experience working in B2B SaaS, early-stage startups, or agency-style project settings Exposure to AI-powered automation tools like ChatGPT, Claude, or Midjourney Comfort working with product managers, marketers, and non-technical stakeholders Why Join Huex? Collaborate with elite teams across 20+ global markets Work on high-impact projects across industries Leverage AI and automation to increase your effectiveness Learn, grow, and contribute to the next generation of AI-native teams Flexible remote culture, high trust, and performance-first mindset