Lead and manage AI Automationprojects, ensuring alignment with business objectives and timelines Play a roleof a Scrum Master and ensure timely delivery Oversee Agile ceremoniesCollaborate with stakeholders to define scope, deliverables, and successmetrics Manage project risks, dependencies, and constraints while ensuringsecurity and compliance Work closely with cross functional teams to drive AIand automation initiatives Status reporting to internal and external stakeholders Maintain project documentation, including roadmaps, status reports, andpost-implementation reviews Required Skills Qualifications 7+ years ofexperience with 3-5 years of experience in Technical Project Management,preferably in AI Automation projects Expertise in Scrum / Kanbanmethodologies and working knowledge of JIRA, Confluence Experience in managingprojects involving AI/ML technologies Managed complex projects withcross-functional teams and multiple stakeholders

Data Science AI Architect to steer development of AI driven products The person in the role is required to develop architecture using AI (Machine Learning, Deep Learning) as well as Gen-AI (across prompt engineering, RAG and Fine Tuning across LLM, VLM and Multi-Modal models, both open-source as well as paid) The person in the role works closely with Principal/Chief architect, Product Managers, Delivery Manager, UI/UX developers and other developers for sprint planning and overall delivery Have a good understanding of ML Engineering and ML Ops concepts to deploy products in a multi-cloud environment

Zestra Technologies is looking for Next JS Developer to join our dynamic team and embark on a rewarding career journey Develop and maintain web applications using Next.js framework. Collaborate with cross-functional teams to design, develop, and ship new features. Optimize applications for maximum speed and scalability. Implement responsive designs and ensure compatibility across various devices and browsers. Write clean, maintainable, and efficient code. Conduct code reviews and provide constructive feedback to other team members. Stay updated on emerging technologies and best practices in web development. Troubleshoot and debug issues as they arise. Participate in sprint planning, stand-up meetings, and other team activities. Contribute to the continuous improvement of development processes and methodologies.

As an AI QASpecialist within Acentra Healths AI & Analytics team, you will ensure theaccuracy, reliability, and validity of our AI, ML, and Generative AI (GenAI)products and services. Leveraging your expertise in quality assurancemethodologies, you will perform Functional, UI, and API testing to effectivelyvalidate products such as AI chatbots, ML/GenAI-generated clinical documents,microservices, and other software solutions. Your role will tackle uniquechallenges in GenAI environments, including output quality assurance andhallucination detection, ensuring stringent standards are consistently met.Aligned with this, you will support and contribute to our maturing AIInter-Rater Reliability (AI-IRR) process and services. Collaboratingclosely with data scientists, software developers, engineers, and stakeholders,you will design and execute comprehensive test plans and strategies specific toour AI and GenAI platforms. Responsibilities include creating and refiningdetailed test cases, verifying prompt-response accuracy, and ensuring theethical and responsible use of AI outputs, ultimately contributing to improvedpatient outcomes. KeyResponsibilities Test Planning & Execution: Develop andimplement test strategies, detailed test plans, and test cases tailored to AI,ML, and GenAI solutions. Quality Assurance & UAT: Conduct thoroughFunctional, UI, and API testing, including GenAI output quality, hallucinationdetection, and user acceptance testing to ensure optimal applicationperformance. Collaboration: Work closely with data scientists,software developers, engineers, and project managers to validate algorithms andintegrate QA best practices into development processes. Automation & Optimization: Implementautomation testing frameworks to optimize testing efforts, including automatedGenAI evaluation workflows. Data Integrity & Bias Detection: Verifytraining data integrity, perform bias detection, and conduct prompt-responsevalidations for AI and GenAI model training. AI Inter-Rater Reliability: Review and verifyAI-generated outputs for consistency and accuracy. Collaborate with AI/MLengineers to enhance automated evaluation systems and pipelines. Documentation & Reporting: Document testresults, identify defects, collaborate to resolve issues, and preparecomprehensive reports with actionable insights for continuous improvement. Compliance & Best Practices: Ensure adherenceto industry standards, regulatory requirements, and Acentra Health standardsaround ethical and safe AI usage. Continuous Improvement: Stay current withemerging AI testing methodologies and tools; contribute to evolving QAprocesses and strategies. Whoyou are: Education & Experience: Bachelors degree in computer science, computer engineering, software engineering, or a related area, or equivalent experience, desired. Technical Skills: Strong experience with QA tools andframeworks like PyTest, Selenium, or JUnit, including Gen AI evaluationframeworks like RAGAS. Understanding of AI, ML, and GenAI concepts,algorithms, and output validation techniques. Familiarity with data annotation tools and qualitycontrol processes for GenAI-specific tasks. Solid knowledge of Python, with experience in Gen AIlibraries like LangChain and LlamaIndex Experience with GenAI model evaluation metrics such asperplexity and BLEU. Solid knowledge of software development life cycle(SDLC) and agile methodologies. Preferred Qualifications Experience in healthcare technology or data analyticsenvironments. Familiarity with regulatory and ethical standardsrelated to AI and healthcare solutions. Soft Skills: Excellent analytical and problem-solving skills withkeen attention to detail. Strong communication and collaboration skills, withthe ability to explain complex technical issues to diverse audiences. Ability to work effectively in a fast-paced,cross-functional team environment.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve. You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented RPA Developer Mandatory Skills: Robotic Process Automation, Rpa Automation, Blue Prism Skill to Evaluate: Robotic Process Automation, Rpa Automation, Blue Prism Job Description: Technical Blue Prism Mandatory: Strong knowledge of RPA tools: BluePrism experience is highly preferred with an exp of 0-2 years Experience in AWS . Experience in any of the programming AI/ML languages like Python, R Automation knowledge of SAP, Web Based, Java Based applications. Strong use of Microsoft Office productivity tools including, Excel, Word, Access, PowerPoint Able to design technical specification documents for RPA Projects. Experience developing and consuming APIs. Experience with Agile development methodology. Experience with Databases (SQL or NoSQL) is often preferred. Knowledge of artificial intelligence and machine learning. Understanding of workflow-based logic. Ability to present technical details to non-technical audiences. Excellent problem-solving/analytical skills and complex troubleshooting methods. Strong communication and teamwork skills. Ability to multitask in a fast-paced environment and prioritize the most critical tasks and projects Fluent in English verbally written

We are seeking a medium to senior-level Frontend Software Engineer to join our dynamic team. In this hybrid role, you will be responsible for developing high-quality, userfriendly interfaces that power our AI-driven platform. While you will be remote most of the time, you are expected to attend on-site meetings in Ostrava once a week. You will work closely with backend engineers and product stakeholders to craft seamless, visually compelling, and performant applications that enhance our users' experience. Key Responsibilities Develop and Maintain Frontend Applications: Build robust, scalable user interfaces using ReactJS (including both hooks and components) that align with our design standards and user experience goals. Implement and Optimize UI/UX: Leverage your strong UX skills to create intuitive, engaging, and accessible user experiences. Stay updated on the latest trends in UI/UX design and frontend development to continuously improve our products. Style and Layout Implementation: Write clean, modular, and maintainable CSS and SCSS to ensure consistency across the application. Optimize styles for performance and responsiveness across devices Cross-Functional Knowledge: While the focus is on frontend development, familiarity with backend technologies, especially .NET 6 9, is a plus. This knowledge will help facilitate e ective communication and integration with our backend systems. Product Ownership: Own the entire front-end development lifecycle, from conceptualization and design through testing, implementation, and maintenance. Act as a subject matter expert and drive strategic decisions regarding UI/UX and technology stack improvements. Required Qualifications Technical Expertise: o Proficiency in ReactJS, including hands-on experience with React hooks and component-based architecture. o Strong skills in CSS and SCSS with a keen eye for detail in design and layout. UX/UI Design Skills: o Demonstrated ability to implement compelling user experiences independently, as there is no dedicated UX/UI design team. Desirable Technical Experience: o Knowledge of backend development, particularly with .NET 6 9, is advantageous (not mandatory) Professional Experience: o Medium to senior-level experience in frontend development, with a portfolio or work examples demonstrating your ability to create sophisticated, production-level applications. Passion for AI and Innovation: o A strong interest in AI technologies and emerging trends in the digital workspace. o Ability to thrive in a fast-paced, evolving environment while maintaining high quality and performance. What We Offer Innovative Environment: Work at the forefront of AI technology and digital transformation Professional Growth: Access continuous learning opportunities and career development in a rapidly growing tech company.

Acentra delivers a broad range of healthinformation technology enterprise solutions and customizable products to adiverse base of state and federal agencies. We align, build, and manageinnovative, high-quality, cost-effective solutions that help customers achievetheir mission, enhance business performance, reduce costs, and improve thehealth of over 50 million Americans. With locations throughout the U.S. and inIndia, Acentra employs a world-class team of technologists, healthcaresubject-matter experts, and program managers, all of whom have experience withlarge-scale mission-critical information technology implementations. Innovation and commitment to our missionare core to our DNA. And through our shared values, we foster an environment ofinclusion, empowerment, accountability, and fun! About the Job This position is for a Machine Learningexpert who is responsible for successful delivery of Acentra Health'stechnology initiatives. Candidates for this role will be working at theintersection of data science and software engineering, building, deploying, andoptimizing machine learning (ML) models and pipelines, with a strong emphasison large language models (LLMs), generative AI (GenAI), and natural languageprocessing (NLP). Will help improve patient outcomes and drive innovation andefficiency in healthcare. What you will do Design, develop, and implement ML models and algorithms to solvehealthcare-related problems, such as disease prediction, patient riskstratification, clinical decision support, and personalized medicine Exploreand implement state-of-the-art ML techniques, including supervised andunsupervised learning, deep learning, and NLP Develop and implement data cleaning, feature engineering, and dataaugmentation techniques to improve model performance and generalizability Evaluate and validate ML models using appropriate metrics andmethodologies, ensuring robustness, accuracy, and reliability Interpretand communicate model results to domain experts and stakeholders, providingactionable insights and recommendations Optimize models for performance, scalability, and real-timepredictions, considering computational constraints and regulatory requirements Design and develop innovative solutions using LLMs and foundationmodels to solve business problems and create operational efficiencies Lead the AI and ML development process and oversee CICD pipelines Document code, methodologies, and experimental results to ensurereproducibility and knowledge sharing Train junior level engineers and serve as a mentor for learningnew technologies, best practices, and company culture Collaborate with cross-functional teams, including datascientists, clinicians, researchers, and product managers, to translatebusiness requirements into technical solutions Stayabreast of the latest advancements in ML, AI, LLMs, healthcare informatics, andregulatory landscape to inform decision-making and drive innovation Who you are: Education : Bachelors degree in computer science, data science, or a relatedfield. 2+ Provenexperience and success as an ML Engineer. Technicalskills 2+ years of experience as a ML Engineer 2+ years of experience with object-oriented scripting languages, such as Python or R 2+ years of experience with developing ML models and NLP techniques 2+ years of experience with data preprocessing and feature engineering 2+ years of experience with LLMs and GenAI 1+ years of cloud computing experience using Azure and/or Amazon Web Services (AWS) for testing, deploying, and managing ML and AI systems Proven experience with successfully deploying solutions using LLMs and foundation models Proven experience with GenAI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs) and transformer-based models Provenexperience successfully developing and deploying ML algorithms, statisticalanalysis, and data mining techniques Proven experience mentoring ML Engineers and colleagues Demonstrable experience developing innovative ideas and solutions Goodto have familiarity with healthcare data standards (e.g., HL7, FHIR),electronic health records (EHR), medical imaging formats (DICOM), and relevanthealthcare regulations (e.g., HIPAA) is highly desirable

At GreenStitch , we are on a mission to revolutionise the fashion and textile industry through cutting-edge climate-tech solutions. We are looking for a highly skilled Data Scientist-I with expertise in NLP and Deep Learning to drive innovation in our data-driven applications. This role requires a strong foundation in AI/ML, deep learning, and software engineering to develop impactful solutions aligned with our sustainability and business objectives. The ideal candidate demonstrates up-to-date expertise in Deep Learning and NLP and applies it to the development, execution, and improvement of applications. This role involves supporting and aligning efforts to meet both customer and business needs. You will play a key role in building strong relationships with stakeholders, identifying business challenges, and implementing AI-driven solutions. You should be adaptable to competing demands, organisational changes, and new responsibilities while upholding GreenStitchs mission, values, and ethical standards. What Youll Do: AI-Powered Applications: Build and deploy AI-driven applications leveraging Generative AI and NLP to enhance user experience and operational efficiency. Model Development: Design and implement deep learning models and machine learning pipelines to solve complex business challenges. Cross-Functional Collaboration: Work closely with product managers, engineers, and business teams to identify AI/ML opportunities. Innovation & Experimentation: Stay up-to-date with the latest AI/ML advancements , rapidly prototype solutions, and iterate on ideas for continuous improvement . Scalability & Optimisation: Optimise AI models for performance, scalability, and real-world impact , ensuring production readiness. Knowledge Sharing & Thought Leadership: Contribute to publications, patents, and technical forums; represent GreenStitch in industry and academic discussions . Compliance & Ethics: Model compliance with company policies and ensure AI solutions align with ethical standards and sustainability goals. Communication: Translate complex AI/ML concepts into clear, actionable insights for business stakeholders. What Youll Bring: Education: Bachelors/Masters degree in Data Science, Computer Science, AI, or a related field . Experience: 1-3 years of hands-on experience in AI/ML, NLP, and Deep Learning . Technical Expertise: Strong knowledge of transformer-based models (GPT, BERT, etc.), deep learning frameworks ( TensorFlow, PyTorch ), and cloud platforms ( Azure, AWS, GCP ). Software Development: Experience in Python, Java , or similar languages, and familiarity with MLOps tools . Problem-Solving: Ability to apply AI/ML techniques to real-world challenges with a data-driven approach. Growth Mindset: Passion for continuous learning and innovation in AI and climate-tech applications. Collaboration & Communication: Strong ability to work with cross-functional teams , communicate complex ideas, and drive AI adoption. Why GreenStitch GreenStitch is at the forefront of climate-tech innovation, helping businesses in the fashion and textile industry reduce their environmental footprint. By joining us, you will: Work on high-impact AI projects that contribute to sustainability and decarbonisation. Be part of a dynamic and collaborative team committed to making a difference. Enjoy a flexible, hybrid work model that supports professional growth and work-life balance. Receive competitive compensation and benefits , including healthcare, parental leave, and learning opportunities .

End-to-End Product Design: Own the design lifecycle for complex featuresfrom research and ideationthrough to prototyping, high-fidelity UI, developer handoff, and qualityassurance. User Research Persona Development: Conduct stakeholder interviews, contextual inquiry, usability studies, journeymapping, and persona building for diverse enterprise user roles (developers,analysts, business users, etc.). Wireframing Prototyping: Translate product requirements into user flows, wireframes, interactiveprototypes, and design system components in Figma (or similar tools). Design System Leadership: Develop and evolve a scalable design system covering atomic/componentstructures, documentation, accessibility, and theming (multi-brand, light/darkmodes, etc.). Collaboration Stakeholder Management: Partner with Product Managers, Engineers, Data Scientists, and QA to ensureseamless implementation, resolving gaps between UX vision and technicalfeasibility. AI/ML Workflow Visualization: Design advanced interfaces for AI agent orchestration, workflow builders(drag-and [1] drop,node/graph UI), model monitoring, data visualization, and resultexplainability. Accessibility Compliance: Champion accessibility best practices (WCAG 2.1+, keyboard navigation, ARIA),ensuring products are usable by all users, including those with disabilities. Rapid Prototyping MVP Launches: Lead rapid design iterations for MVP launches, gather and incorporate userfeedback, and iterate quickly based on analytics and usage patterns. Usability Testing Continuous Improvement: Plan, conduct, and analyze remote and in-person usability tests; drivecontinuous product and UX improvements using research and data. Mentoring Team Growth: Mentor junior and mid-level designers, participate in hiring, and help nurturea high-performance design culture. Required Skills Qualifications Experience: o 9+ years in UI/UX/Product Design, with at least 3 years in enterpriseSaaS, workflow, or data/AI product environments. o Demonstrated leadership in large-scale product launches and/or design systemimplementation. Portfolio: o Strong portfolio showcasing complex B2B, SaaS, AI/ML, or workflow automationproducts. o Evidence of solving highly technical problems through user-centered design. Design Tools: o Mastery of Figma, Adobe Creative Suite, Sketch, prototyping, and usabilitytesting tools (e.g., Maze, UsabilityHub, Lookback.io). Methodologies: o Deep understanding of design thinking, user research, informationarchitecture, interaction design, and accessibility. Technical Understanding: o Familiarity with front-end technologies (HTML/CSS, design tokens, componentlibraries). o Experience designing for complex state management, data visualization, andcollaborative multi-user environments. Soft Skills: o Excellent communication, stakeholder management, workshop facilitation, andcross-functional collaboration. Bonus Points For Experience in AI/ML platforms, agent orchestration tools, or no-code/low-codeproducts. Building or evolving white-label design systems. Experience with internationalization / localization , SOC2/GDPR compliance, andhigh [1] scalemulti-tenant SaaS. Exposure to agile teams, rapid prototyping, and A/B experimentation. WhatYoull Get The chance to help define and build market-leading AI/ML platforms from theground up. A collaborative environment with passionate experts in AI, data science, andproduct engineering. Opportunities for professional growth, conference participation, andmentoring. Competitive salary and benefits, plus the freedom to influence productdirection at a high level.

Design, implement, and maintain end-to-end MLOps pipelines for model training, validation, deployment, and monitoring. Build and manage LLMOps pipelines for fine-tuning, evaluating, and deploying large language models (e.g., OpenAI, HuggingFace Transformers, custom LLMs). Use Kubeflow and Kubernetes to orchestrate reproducible, scalable ML/LLM workflows. Implement CI/CD pipelines for ML projects using GitHub Actions , Argo Workflows , or Jenkins . Automate infrastructure provisioning using Terraform , Helm , or similar IaC tools. Integrate model registry and artifact management with tools like MLflow , Weights Biases , or DVC . Manage containerization with Docker and container orchestration via Kubernetes . Set up monitoring , logging , and alerting for production models using tools like Prometheus , Grafana , and ELK Stack . Collaborate closely with Data Scientists and DevOps engineers to ensure seamless integration of models into production systems. Ensure model governance, reproducibility, auditability, and compliance with enterprise and legal standards. Conduct performance profiling, load testing, and cost optimization for LLM inference endpoints. Required Skills and Experience Core MLOps/LLMOps Expertise 5+ years of hands-on experience in MLOps/DevOps for AI/ML. 2+ years working with LLMs in production (e.g., fine-tuning, inference optimization, safety evaluations). Strong experience with Kubeflow Pipelines , KServe , and MLflow . Deep knowledge of CI/CD pipelines with GitHub Actions , GitLab CI , or CircleCI . Expert in Kubernetes , Helm , and Terraform for container orchestration and infrastructure as code. Programming Frameworks Proficient in Python , with experience in ML libraries such as scikit-learn , TensorFlow , PyTorch , Hugging Face Transformers . Familiarity with FastAPI , Flask , or gRPC for building ML model APIs. Cloud DevOps Hands-on with AWS , Azure , or GCP (preferred: EKS, S3, SageMaker, Vertex AI, Azure ML). Knowledge of model serving using Triton Inference Server , TorchServe , or ONNX Runtime . Monitoring Logging Tools: Prometheus , Grafana , ELK , OpenTelemetry , Sentry . Model drift detection and A/B testing in production environments. Soft Skills Strong problem-solving and debugging skills. Ability to mentor junior engineers and collaborate with cross-functional teams. Clear communication, documentation, and Agile/Scrum proficiency. Preferred Qualifications Experience with LLMOps platforms like Weights Biases , TruEra , PromptLayer , LangSmith . Experience with multi-tenant LLM serving or agentic systems (LangChain, Semantic Kernel). Prior exposure to Responsible AI practices (bias detection, explainability, fairness)

About the job: Key responsibilities: 1. Conduct industry-specific research to understand trends, gaps, and opportunities for AI adoption 2. Identify key pain points and inefficiencies in target organizations 3. Prepare custom pitch decks and outreach strategies for potential clients 4. Meet with client teams (virtually or physically) to present ideas and explain how AI tools can improve their workflow 5. Assist in the implementation journey from tool selection to basic integration and onboarding 6. Act as the primary point of contact for assigned clients post-sale 7. Maintain ongoing communication and feedback loops with internal and client teams Requirements: 1. Be a recent graduate or final-year student (any stream; tech or business preferred) 2. Be curious and tech-savvy interested in exploring tools, trends, and what's next 3. Have strong written and verbal communication skills in English 4. Be self-driven, confident, and eager to learn Who can apply: Only those candidates can apply who: are from Surat only Salary: ₹ 2,05,000 /year Experience: 0 year(s) Deadline: 2025-07-09 23:59:59 Other perks: Informal dress code Skills required: English Proficiency (Spoken), English Proficiency (Written), Artificial intelligence, Interpersonal skills and Effective Communication About Company: Wibes Coworking Company is the leading provider of co-working spaces in Surat, offering a vast and dynamic environment that opens doors to endless possibilities. With the largest co-working space in the city, Wibes invites individuals and businesses to embark on a journey of inspiration, collaboration, and growth. Whether you're an entrepreneur, freelancer, or part of a team, this innovative workspace is designed to nurture your ideas and turn them into tangible success. Join Wibes and witness your dreams transform into a thriving reality. Whether you need a dedicated desk, a private office, or a creative common area, Wibes has the perfect space to cater to your specific needs. Join the Wibes community and unlock a world of opportunities to grow your business, expand your network, and elevate your professional journey.

About the job: As an AI Associate at Intellisoft, you will have the opportunity to work on cutting-edge technologies in the field of artificial intelligence. If you are passionate about Python, data structures, machine learning, data science, neural networks, natural language processing (NLP), and deep learning, this role is perfect for you. Key responsibilities: 1. Develop and implement AI models to solve complex business problems. 2. Collaborate with cross-functional teams to gather and analyze data for model building. 3. Optimize and fine-tune existing AI models for improved performance. 4. Stay updated on the latest trends and advancements in AI to contribute innovative ideas. 5. Build and deploy scalable AI solutions in real-world applications. 6. Conduct research and experiments to enhance AI algorithms and techniques. 7. Provide technical guidance and mentorship to junior team members. If you are a self-motivated individual with a strong background in AI and a desire to make a significant impact, we encourage you to apply and join our dynamic team at Intellisoft. Who can apply: Only those candidates can apply who: Salary: ₹ 3,00,000 /year Experience: 0 year(s) Deadline: 2025-07-09 23:59:59 Other perks: Informal dress code, Free snacks & beverages, Cab/Transportation facility, Health Insurance, Life Insurance Skills required: Python, Data Structures, Machine Learning, Data Science, Neural Networks, Natural Language Processing (NLP), Deep Learning and Artificial intelligence About Company: Intellisoft is a software development and marketing company dedicated to empowering businesses in today's ever-evolving digital landscape. Our mission is to transform organizations by offering a comprehensive suite of services designed to drive growth and enhance efficiency.

BULK HIRE – CORE PYTHON AND DATA SCIENCE ENGINEERS – HYDERABAD – HYBRID MODEL WELL KNOWN IT CLIENT– FOR THEIR USA PRODUCT DEV CLIENT LOCATION : Financial District, Nanakramguda ONLY HYD CANDIDATES 2 DAYS @ OFFICE, REST OF DAYS WFH PRIYA@AXYCUBE.IN Required Candidate profile PYTHON DEVELOPERS – MAX 16 LPA- 4+ YEARS EXPERIENCE – VERY GOOD IN NUMPY, PANDAS, NUMPY AND SQL DATA SCIENCE ENGINEERS – MAX 27 LPA– 4+ YEARS STRONG EXPERIENCE IN AI, ML, DL, PYTHON, PANDAS AND NUMPY

Job description: Develop and implement innovative instructional methods. Develop professional logistics to improvise student performance. Guide, lead, and mentor students in research projects. Should have excellent communication and team working abilities. Candidate should have the desire and willingness to work with students and external stakeholders. Should be willing to take on additional duties including participating in organizational activities and academic committees. Evaluate, monitor, and mentor student academic progress. Serve and support functional activities of departmental committees. Should be involved in Academic Activities like Class monitoring, Creation of timetable, Subject load distribution, coordination with faculty members, etc. Assess & evaluate student activities. Should have a good command of Python, Java, and C++. Deliver high-quality lectures and conduct interactive classroom sessions for undergraduate BCA/B.Tech students. Essential Qualification: Assistant Professor M.Tech/ MCA

Were Not Looking for an Employee. Were Looking for a Systems Architect. We 're on the hunt for someone who will own internal automation, build real agents, and wire our backend like a product company . If you've ever thought, " This entire department could be replaced with a well-built agent" you're exactly who we're hiring. What Youll Own You won’t just work on AI tools. You’ll architect our entire internal automation layer. That includes: Workflow + Systems Automation Map and refactor workflows across Strategy, Ops, Sales, Design, and Client Services Build scalable automations using Zapier , N8N , or similar Identify every manual task in the company and kill it with logic Build for longevity, not just current - this means storing and using data. Internal Agent Development You'll be required to build agents for: Strategy audits Client brief analysis QA bots Reporting summaries Note: This is just a start so that we can QA your skills before you go more in depth. Use tools like OpenAI, LangChain, Pinecone to power agents that actually work in real-world agency use cases API + Integration Work Build and maintain data pipelines across Shopify , Klaviyo , Slack , ClickUp , Stripe , and internal databases Design backend logic that ensures clean, connected, automated systems Data Ownership Keep internal data accurate, synced, and enriched Write scripts to clean up pipelines, deduplicate records, and push/pull through APIs Create tools that give leadership the right data, in the right place, in real-time Who We’re Actually Looking For You’ve done more than just use GPT. You’ve shipped things — agents, tools, integrations — and you’ve replaced real human work with smarter systems. You're probably the person others turn to when they say: “There has to be a better way to do this.” You're not scared of messy workflows. You know how to untangle chaos, refactor it, and create clarity through code and logic. Must-Have Skills 1. Python (core language for agents, automation, APIs) 2. JavaScript (used for triggers, API manipulation, and frontend logic) 3. Zapier or N8N power user 4. Klaviyo + Shopify API experience preferred 5. Experience building with OpenAI , LangChain , Pinecone , or similar LLM/embedding tools 6. API-first thinking (you’re used to reading docs and shipping fast) 7. Experience managing internal data pipelines, cron jobs, and webhooks Nice-to-Haves Knowledge of Supabase, Firebase, Postgres, SQL Experience with Slack bots , internal tools, or agent chaining Past work in an agency, startup, or solo builder environment Why Join Arcady Media You’ll be our first AI hire — with full autonomy to build from the ground up We’re not just open to change — we depend on it to scale You’ll work directly with the founder, not buried under middle managers We move fast. We implement fast. We reward people who create leverage. Compensation 15L – 25L per year (Purely based on experience and proof of concept)

We are Hiring Freshers, who are passionate to build their careers in Artificial Intelligence/Machine Learning/Data Science Eligibility : All PG & UG graduates can apply for interview AI/Machine Learning/Data Science - Freshers Bulk Hiring Required Candidate profile BCA /BSC/B.E/ B.tech / M.tech (IT/CS)/ MCA Freshers Artificial Intelligence/Machine Learning/Data Science - Freshers Bulk Hiring Contact HR : 8904348261 for interview

We are seeking AI/ML engineers to develop, deploy, and optimize advanced AI models. You'll work with cutting-edge tools like OpenAI APIs, Hugging Face Transformers, ONNX, and LangChain to build scalable AI solutions. Job Description: Expertise in Large Language Models (LLMs) and experience with OpenAI API, Hugging Face Transformers, and other NLP frameworks. Proficiency in fine-tuning and deploying pre-trained models for various NLP tasks. Strong knowledge of LangChain for building and managing LLM pipelines. Experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) for efficient data retrieval and AI-driven search. Proficiency in embedding techniques for search, recommendations, and semantic similarity tasks. Solid understanding of Prompt Engineering to optimize model performance. Strong Python programming skills and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience deploying ML models using ONNX for scalable and efficient inference. Hands-on experience in developing, optimizing, and maintaining AI/ML models in production environments. Ability to collaborate with cross-functional teams, staying updated on AI advancements to enhance solutions. Job Details: CTC: Best in the industry Role: Software Engineer Functional Area: Development Industry: IT/Software Services

Job Description : We are seeking a highly motivated and talented Machine Learning Engineer Intern to join our AI and Data Science team. This internship offers a unique opportunity to gain hands-on experience in cutting-edge machine learning techniques and work on real-world applications. The ideal candidate should be passionate about artificial intelligence, data science, and problem-solving using ML models. Key Responsibilities : Work with structured and unstructured datasets to clean, preprocess, and analyze data for model development. Research, implement, and optimize machine learning models for various business use cases. Develop and fine-tune predictive models using supervised and unsupervised learning techniques. Assist in integrating ML models into production environments, ensuring scalability and efficiency. Collaborate with cross-functional teams, including data engineers, software developers, and domain experts. Stay updated with the latest advancements in AI, machine learning, and deep learning. Document model performance, findings, and best practices for future reference. Eligibility Criteria & Skills : Currently pursuing or recently completed a Bachelors/Masters/Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field. Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc. Good understanding of data preprocessing, feature engineering, and model evaluation techniques. Knowledge of SQL and databases for data manipulation and extraction. Familiarity with data visualization tools like Matplotlib, Seaborn, or Plotly. Basic understanding of cloud computing platforms (AWS, GCP, Azure) and MLOps practices is an advantage. Excellent problem-solving abilities and analytical thinking. Ability to work independently, take initiative, and collaborate effectively in a team environment. What We Offer : Hands-on exposure to real-world machine learning projects. Mentorship and guidance from industry experts. Opportunity for full-time employment based on performance. Competitive stipend and additional perks as per company policy. A flexible work schedule to encourage productivity and learning. Work Schedule : Day Shift Remote Work Opportunity If you are enthusiastic about AI and looking to build a career in machine learning, we invite you to apply and become a part of Ageit Endorse India Pvt. Ltd.s innovative team. Lets shape the future of AI together! How to Apply: Interested candidates are requested to send their updated CVs to: pratiksha.shelke@ageittech.com, janhavi.shende@ageittech.com, OR contact directly Pratiksha - 73879 23891, Janhavi - 72649 80235.

Job Description: We are seeking an experienced Generative AI Developer with expertise in Azure cloud services and a Java-based backend to join our cutting-edge AI team. You will be responsible for designing and deploying intelligent systems that combine RAG (Retrieval-Augmented Generation), prompt engineering, and document processing pipelines. Your work will contribute to two major initiatives: a RAG-based Document Intelligence System and an Embedded Knowledge Chatbot. Key Responsibilities: Design and implement document ingestion workflows using Java and Azure services. Develop LLM-prompt pipelines to extract structured data (JSON) from unstructured documents. Build automation scripts for form population and data validation. Implement JSON schema validation and transformation modules. Integrate user review interfaces and handle final data submission workflows. Ingest enterprise documentation into Azure-based vector stores for semantic retrieval. Develop chat-based interfaces to allow users to query internal knowledge using natural language. Design backend services using Java that interface with RAG-powered LLMs via LangChain or similar frameworks. Implement conversational workflows that deliver context-aware responses. Required Skills & Technologies: Programming: Strong experience in Java (Spring Boot or similar frameworks). AI Integration: Experience working with Large Language Models (LLMs) in a RAG setup. Prompt Engineering: Ability to craft prompts and chain logic to drive accurate responses from LLMs. Data Extraction: Expertise in document parsing, OCR, and JSON generation. Form Automation: Experience with auto-filling and validating data in dynamic web forms. Vector Search & Retrieval: Familiarity with vector databases (e.g., Azure Cognitive Search, FAISS) and embedding models. Cloud Platform: Proficient in Microsoft Azure, including services like Azure Functions, Azure OpenAI, Azure Blob Storage, and Azure Cosmos DB. NLP/NLU: Solid foundation in Natural Language Understanding techniques and tokenization. Integration: Experience with backend APIs, chat UI frameworks, and event-driven architectures. Nice to Have: Knowledge of LangChain, Semantic Kernel, or similar RAG orchestration tools (in a Java-compatible context). Experience with DevOps pipelines on Azure (CI/CD). Understanding of enterprise security and compliance for AI solutions. Why Join Us? * Be at the forefront of applied generative AI in real-world enterprise applications. * Work in a fast-paced, innovative team solving complex problems with modern AI tools. * Opportunity to influence AI architecture and decision-making in a growing company. Application Process: Please submit your resume and a brief statement highlighting your relevant AI and Azure experience, especially on Java-based projects involving RAG, LLMs, and document intelligence. How to Apply: Interested candidates are encouraged to send their updated resume along with a cover letter highlighting their relevant experience to in_jobs@lucidtechinc.com . Please include the following details in your email: Current location Current CTC Expected CTC Notice Period Join Our Team! Be part of a dynamic organization dedicated to excellence in recruitment and client satisfaction. We look forward to welcoming you to Lucid Technologies Inc. Thanks & Regards, HR Department Lucid Technologies Inc. Email: in_jobs@lucidtechinc.com

Opportunity: We are seeking a highly skilled and experienced AI Infrastructure Engineer (or MLOps Engineer) to design, build, and maintain the robust and scalable AI/ML platforms that power our cutting-edge asset allocation strategies. In this critical role, you will be instrumental in enabling our AI Researchers and Quantitative Developers to efficiently develop, deploy, and monitor machine learning models in a high-performance, secure, and regulated financial environment. You will bridge the gap between research and production, ensuring our AI initiatives run smoothly and effectively. Responsibilities: Platform Design & Development: Architect, implement, and maintain the end-to-end AI/ML infrastructure, including data pipelines, feature stores, model training environments, inference serving platforms, and monitoring systems. Environment Setup & Management: Configure and optimize AI/ML development and production environments, ensuring access to necessary compute resources (CPUs, GPUs), software libraries, and data. MLOps Best Practices: Implement and advocate for MLOps best practices, including version control for models and data, automated testing, continuous integration/continuous deployment (CI/CD) pipelines for ML models, and robust model monitoring. Resource Optimization: Manage and optimize cloud computing resources (AWS, Azure, GCP, or on-premise) for cost-efficiency and performance, specifically for AI/ML workloads. Data Management: Collaborate with data engineers to ensure seamless ingestion, storage, and accessibility of high-quality financial and alternative datasets for AI/ML research and production. Tooling & Automation: Select, implement, and integrate various MLOps tools and platforms (e.g., Kubeflow, MLflow, Sagemaker, DataRobot, Vertex AI, Airflow, Jenkins, GitLab CI/CD) to streamline the ML lifecycle. Security & Compliance: Ensure that all AI/ML infrastructure and processes adhere to strict financial industry security standards, regulatory compliance, and data governance policies. Troubleshooting & Support: Provide expert support and troubleshooting for AI/ML infrastructure issues, resolving bottlenecks and ensuring system stability. Collaboration: Work closely with AI Researchers, Data Scientists, Software Engineers, and DevOps teams to translate research prototypes into scalable production systems. Documentation: Create and maintain comprehensive documentation for all AI/ML infrastructure components, processes, and best practices. Qualifications: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related quantitative field. Experience: 3+ years of experience in a dedicated MLOps, AI Infrastructure, DevOps, or Site Reliability Engineering role, preferably in the financial services industry. Proven experience in designing, building, and maintaining scalable data and AI/ML pipelines and platforms. Strong proficiency in cloud platforms (AWS, Azure, GCP) including services relevant to AI/ML (e.g., EC2, S3, Sagemaker, Lambda, Azure ML, Google AI Platform). Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes). Solid understanding of CI/CD principles and tools (Jenkins, GitLab CI/CD, CircleCI, Azure DevOps). Proficiency in scripting languages like Python (preferred), Bash, or similar. Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation, Ansible). Familiarity with distributed computing frameworks (e.g., Spark, Dask) is a plus. Understanding of machine learning concepts and lifecycle, even if not directly developing models. Technical Skills: Deep knowledge of Linux/Unix operating systems. Strong understanding of networking, security, and database concepts. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Familiarity with data warehousing and data lake concepts. Preferred candidate profile Exceptional problem-solving and debugging skills. Proactive and self-driven with a strong sense of ownership. Excellent communication and interpersonal skills, able to collaborate effectively with diverse teams. Ability to prioritize and manage multiple tasks in a fast-paced environment. A keen interest in applying technology to solve complex financial problems.

Client : Accenture Level : Manager/ Senior Manager Project Role : AI / ML Architect Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : AI/ML, NLP, LLM, GEN AI Experience : 12- 20 years Educational Qualification : 15 years full time education Summary: As an AI / ML Architect, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud-based AI services and their integration. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions.

At Ecolab, you can help take on some of the worlds most meaningful challenges, delivering critical insights and innovative solutions to help our customers achieve clean water, safe food, abundant energy and healthy environments. With our worldwide reach and ambitious growth plans, you will have the opportunity to own your future and impact what matters. Are you ready to make an impact? The AI Operations Analyst is responsible for managing and optimizing the adoption and performance of AI systems within GBS+. This role involves providing designing and executing model training processes, monitoring daily AI operational performance, and ensuring the accuracy, reliability, and functioning of AI models and applications. The AI Optimization Analyst will work with cross-functional teams to ensure AI models are optimized for performance and scalability. What's in it For You: You will join a growth company offering a competitive salary and benefits. The ability to make an impact and shape your career with a company that is passionate about growth. The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best. Feel proud each day to work for a company that provides clean water, safe food, abundant energy and healthy environments. What You Will Do: Perform AI model training activities such as generating/loading large datasets, document samples, process documentation, and prompts to support rapid and complete development of high impact models. Execute daily monitoring of AI and process performance. Identify, troubleshoot, and resolve issues with AI-based process performance in collaboration with users and various stakeholders Identify and drive implementation of improvements in process, AI prompts, and model accuracy and completeness in conjunction with Ecolab Digital AI team. Support objectives to ensure AI performance meets business value objectives. Ensure compliance with established responsible AI policies Maintain documentation on AI processes Minimum Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. Master's degree preferred Process domain expertise Experience with AI/ML operations and monitoring tools. Strong problem-solving and analytical skills. Knowledge of AI governance and ethical guidelines. Excellent communication and collaboration skills. Knowledge of machine learning frameworks and libraries

fleetx.io is looking for AI Engineer to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting technical information to non-technical stakeholders Excellent communication skills & attention to detail

Cleartrip Private Limited is looking for UI Engineer II to join our dynamic team and embark on a rewarding career journey Develop high-quality, responsive user interfaces for web applications Collaborate with UX designers to understand design requirements and provide technical feasibility of implementation Implement modern and elegant UI components and interactions that result in a delightful user experience Optimize applications for maximum speed and scalability Collaborate with other team members and stakeholders to understand business requirements and translate them into technical requirements Ensure the technical feasibility of UI/UX designs Build reusable code and libraries for future use Participate in code and design reviews to maintain high development standards Stay up-to-date with emerging technologies, industry trends, and best practices in UI development

Proven experience in setting up Cloud FinOps practices. Demonstrated ability to lead and manage a team effectively. Strong project management skills. Extensive hands-on experience with Azure cloud services. Proficient in stakeholder management and communication. Comprehensive background in Cloud FinOps methodologies. Experience with large clients, with a preference for those in the pharmaceutical industry. What We re Looking For: (Junior) Extensive experience in data handling and management. Proficient in using Azure Graph API. Strong skills in generating and interpreting detailed reports. Solid understanding of Cloud FinOps principles. Experience with data analysis tools and methodologies. Ability to work collaboratively within a team. Good communication and problem-solving skills. Familiarity with cost optimization strategies and best practices in cloud environments. Experience with automation and scripting languages (e.g., Python, PowerShell) would be advantageous. Prior experience in a cloud-based environment, with a focus on Azure services.