338 Ai Solutions Jobs - Page 14

Job Description Azure Cloud Data Analytics, AI and Computer Vision Specialist Job Title: Azure Cloud Data Analytics, AI and Computer Vision Specialist Industry: Software Development Employment Type: Full Time Location: Noida, India About Us: We are a health tech-focused organization creating innovative, scalable solutions to transform lives. We are seeking a skilled Azure Cloud Data Analytics, AI and Computer Vision Specialist to drive impactful projects and lead cutting-edge product development.At I-Line Pvt Ltd, were on a mission to redefine healthcare through cutting-edge technology. Our focus is on creating intelligent, affordable, and accessible healthcare solutions that harness the power of AI, AR/VR, IoT, and advanced tech to build the healthcare systems of the future. Collaborating with some of the largest hospitals in the country, we are deeply committed to identifying and solving real-world problems with innovative and unconventional approaches. If you're driven by innovation and eager to make a tangible impact in healthcare, this could be your next big move. Responsibilities: Azure Data Analytics Pipelines: Build cost-effective, scalable Azure data pipelines from scratch, optimizing ETL processes and handling large datasets reliably. Product Development: Involved with 0-to-1 product development in data analytics and AI space, from ideation to execution, ensuring innovative and impactful solutions. Computer Vision Development: Develop and deploy advanced computer vision models, including object detection, classification, segmentation, and real-time applications. LLM-Based Product Development: Design AI-driven solutions leveraging large language models (LLMs), with a focus on health tech innovations. Innovation in Health Tech: Build transformative, AI-enabled products while adhering to regulatory standards and data security protocols. Qualifications: Proven experience in Azure data pipelines using tools like Data Factory, Synapse Analytics, and Databricks. Expertise in Python, SQL, deep learning frameworks (TensorFlow, PyTorch), and deploying AI-based solutions. Experience in 0-to-1 product development is a strong advantage. Education: B.Tech from a premier institute is highly preferred. A Ph.D. in a relevant field is an outstanding advantage. Prior experience in health tech is highly desirable. Please share CV at madhulika.mishra@IQline.co.in

Role- Content Writer Shift- 9am- 6pm Location- Remote Job Description : The technical writer will have the following responsibilities: Writing website blogs on technical topics, including enterprise IT solutions, eLearning, freelancing platforms, and more diversified categories. A deep understanding of cloud computing, AI, business analytics, app development, custom coding, LMS platforms, cybersecurity, and beyond. Conduct independent research to remain aware of the latest technological trends and market demands. Work closely with the digital marketing team to assist them in their campaigns. Come up with content ideas that go beyond articles, and blogs which can help to maximize the lead potential. Requirements A minimum of 3 years of experience in creating technical content for different industry domains. Excellent verbal and written communication skills. Deep knowledge of current SEO trends and techniques. A proven track record in creating content that maximizes the lead potential of the website and overall campaigns.

Role & Responsibilities Lead the planning and implementation of technical projects ensuring projects are completed according to outlined objectives Develop a detailed project plan to track progress and ensure that all projects are delivered ontime within scope and within budget Coordinate internal resources and third partiesvendors for the flawless execution of projects Manage changes to the project scope project schedule and project costs using appropriate verification techniques Perform risk management to minimize project risks Measure project performance using appropriate systems tools and techniques Report and escalate to management as needed Create and maintain comprehensive project documentation Ensure technical feasibility and resource availability Oversee quality assurance and ensure objectives are met Provide technical guidance and support to the project team Conduct post project evaluation and identify successful and unsuccessful project elements

We're hiring an AI Agent Developer (Copilot Studio) with 3–8 YOE in Microsoft Copilot Studio, Power Platform, LLM-based frameworks (LangChain, ReAct, OpenAI), and REST API integrations. JD: https://tinyurl.com/aidev-copilotstudio

GRAG AI factory ( https://aifactory.technology ) is hiring a hands-on Platform Product Manager with strong technical aptitude and experience to lead and deliver a variety of GRAG AI Platform product initiatives. A Platform Product Manager will interface with customers, prospects, and partners to understand user needs and customer use cases. In addition, a Platform Product Manager will work with Sales, Marketing, and Services to understand competitive trends, communicate product positioning, key benefits, and be the evangelist for their product offering. Platform Product managers serve as the primary focal point for the planning, design, and implementation stages of GRAG AI Platform product features. Responsibilities Own the product vision for their area. Ensure that it aligns with the overall product and company vision. Be an expert on the domain, the market, the trends. Evangelize the vision constantly so all stakeholders are aligned, have context and understand where we are going. Own the end-to-end product lifecycle: from problem discovery and user research to release and feedback loops. Define product requirements and technical specifications for data ingestion, entity resolution, and linking workflows. Understand customer datasets and workflows deeply to inform intelligent defaults and product design. Research and innovation: Stay up-to-date with the latest advancements in machine learning and NLP, and explore new techniques and technologies to improve the linking processes. Proven experience leading end-to-end implementation of multiple Data Science, Machine Learning, and AI projects, from ideation to deployment. Hands-on experience driving adoption of Generative AI and Agentic AI solutions at the enterprise level, with a focus on real-world impact and scalability. Experience building or managing data-heavy products (e.g., ETL tools, analytics platforms, data enrichment APIs). Collaborate with engineers to translate business logic into scalable technical solutions. Define functional requirements, develop detailed product specifications and associated project work plans for GRAG AI Platform features and key enhancements requests. Collaborate across teams. Product Managers play a critical role in creating alignment between Engineering, Marketing, Sales, Customer Services and other stakeholders. A collaborative attitude is essential to the job. Support the GRAG AI Customer Services team on project governance activities (project plans, weekly status reviews, cross-functional meetings, executive status reviews). Effectively and proactively communicate with customers and build a trusted advisor relationship. Version control system experience with Git, GitHub, or Azure DevOps. Mentor core customer team members on GRAG AI Platform capabilities. Regular travel (25+%) to sites is required.

Looking for a highly skilled GenAI Scientist with a strong expertise in the field of LLMs, including multimodal LLMs, agentic AI, fine-tuning, distillation, hands-on approach to research, development, and implementation of cutting-edge AI solutions.

Job Summary: We are seeking a highly skilled Knowledge Engineer to join our team and play a key role in developing and implementing advanced knowledge management frameworks and solutions, enhanced with Generative AI (GenAI) capabilities The successful candidate will create, maintain, and evolve a robust knowledge infrastructure, leveraging AI to drive smarter knowledge solutions across our organization This role requires a strong foundation in knowledge management, a deep understanding of AI technologies, and an ability to innovate in solution delivery Key Responsibilities : Develop Knowledge Management Frameworks: Design, build, and implement comprehensive frameworks that capture, organize, and facilitate the sharing of knowledge across teams and departments Enable Knowledge Evolution with GenAI: Drive the evolution of knowledge repositories and management systems with generative AI capabilities, ensuring the system continuously learns and improves in response to user inputs and new information Create and Maintain Solution Banks: Establish and manage a repository of solution banks that can be utilized by teams to solve recurring challenges efficiently Develop processes to update and evolve these solution banks as knowledge and technology advance Collaborate with Cross-functional Teams: Work closely with stakeholders, including engineers, data scientists, and domain experts, to understand knowledge requirements, identify gaps, and continuously improve knowledge management solutions Ensure High-Quality Knowledge Assets: Create and maintain high standards for knowledge assets, ensuring they are accurate, accessible, and aligned with organizational goals Leverage Advanced AI Techniques: Apply AI/ML techniques, particularly GenAI, to enhance knowledge retrieval, classification, and recommendation processes, making knowledge systems more intuitive and user-centric Measure and Report on Knowledge System Effectiveness: Develop metrics to measure the effectiveness of knowledge systems and GenAI implementations, using these insights to drive improvements and maximize impact Qualifications : Educational Background: Bachelors degree in Engineering, Computer Science, or a related field Experience: Proven experience in knowledge engineering or knowledge management Expertise in designing and implementing knowledge management frameworks Strong understanding of AI, specifically GenAI technologies, and their application to knowledge evolution and management Familiarity with solution bank creation and maintenance processes Experience : Minimum of 3 years in a similar role is required; overall 5 years Skills : Proficiency in knowledge management tools and systems Strong analytical and problem-solving skills, with the ability to translate complex requirements into actionable solutions Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders Knowledge of AI and ML frameworks, libraries, and best practices Knowledge Engineer, Knowledge Management, Knowledge Frameworks, Generative AI, GenAI, Knowledge Infrastructure, AI Solutions, Solution Banks, Knowledge Repositories, AI/ML Techniques, Cross-functional Collaboration, Knowledge Assets, AI Technologies, Knowledge Retrieval, Knowledge Classification, Knowledge Recommendation, AI-driven Systems, Engineering, Computer Science, Knowledge Engineering, Knowledge Management Frameworks, GenAI Implementation, Solution Bank Maintenance, Analytical Skills, Problem-solving, Communication Skills, AI Frameworks, ML Frameworks, AI Libraries, Machine Learning, Knowledge Systems, Metrics Development, Continuous Improvement, User-centric Design, Knowledge Sharing, Technical Translation, Stakeholder Engagement, Innovation in AI Solutions, Knowledge Evolution

Design, develop, and maintain data solutions focused on importing, processing, and transforming client CMS data for AI system Pipeline optimisation, collaboration, code development, api integration, cloud data management. Exp. in Python, Node.js, PHP

Key Responsibilities 1. Sales & Business Development Identify and develop new business opportunities for AI/ML and Computer Vision-based solutions in industries such as Banking, Insurance, NBFC, Media & Entertainment, Healthcare. Create and execute sales strategies to penetrate new markets and drive revenue growth. Build and manage a robust sales pipeline, ensuring consistent lead generation and conversion. Conduct product demos, technical presentations, and proof-of-concept discussions with clients. Work closely with marketing, product and technical teams to customize solutions for clients. Respond to RFPs, RFIs, and collaborate on proposal development with technical teams. 2. Client Engagement Develop and nurture relationships with C-level executives (CTOs, CIOs, AI Heads, Innovation Leaders, and Data Science Teams). Negotiate contracts, pricing, and terms with enterprise clients. 3. Market & Industry Analysis Keep up with the latest advancements in AI/ML, deep learning, and computer vision to provide valuable insights to clients. Analyze market trends, competitor activities, and customer pain points to refine sales strategies. Provide feedback to internal teams for continuous improvement in AI/ML offerings. 4. Collaboration & Reporting Work closely with the product, marketing, and technical teams to align AI solutions with market needs. Provide regular sales forecasts, reports, and pipeline updates to senior management. Represent the company at AI conferences, trade shows, and industry events. Key Requirements Education & Experience Bachelors or masters degree in business, Computer Science, AI/ML, Data Science, or related field. 4-8 years of experience in B2B sales, business development in AI/ML, Computer Vision, or Data Analytics solutions. Technical & Sales Skills Strong understanding of AI/ML, deep learning, computer vision, and data analytics applications. Proven track record in selling AI-powered software solutions, SaaS, or enterprise AI products. Experience in selling to enterprise clients and mid-market organizations. Ability to translate complex AI/ML concepts into business value for non- technical stakeholders. Proficiency in sales processes, CRM tools (Salesforce, HubSpot, Zoho), and pipeline management. Soft Skills Excellent communication, negotiation, and presentation skills. Strong consultative sales approach to identify and address client challenges. Whatsapp - +919892241535

Key Responsibilities: Gather and document business requirements through client discussions Prepare BRDs, FRDs, wireframes, and workflows to communicate clearly with tech teams Coordinate with developers and designers to ensure accurate execution of requirements Conduct industry and competitor analysis to support strategy Assist in writing proposals and pre-sales documentation for client pitches Leverage AI tools for data handling, automation, and insights Use project management tools like Jira, Confluence, or Trello to track deliverables Participate in client meetings, demos, and feedback cycles What were looking for: 12 years of experience as a Business Analyst in an IT, SaaS, or digital product environment Excellent communication, analytical thinking, and documentation skills Basic understanding of coding or technical systems (HTML, SQL, or APIs a plus) Exposure to or interest in AI tools (e.g., ChatGPT, automation platforms, analytics tools) Ability to collaborate with cross-functional teams and deliver under tight deadlines Strong presentation skills and business acumen Graduate from a Tier 1 College (must) What you’ll Gain: Work closely with cutting-edge tech teams and innovative digital projects A dynamic, collaborative, and growth-oriented environment Opportunity to contribute directly to business impact Competitive pay, continuous learning, and real ownership

Technical Content Writer 5-7 only Software development AI, Flutter, Location- Greater Noida Salary -8-12 LPA Required Candidate profile Experienced in working on technologies like Blockchain, AI, Flutter, AI, EV, Fintech, HealthTech will be beneficial. only BE/Btech

Role & responsibilities You will be embedded within a team of machine learning engineers and data scientists; responsible for building and productizing generative AI and deep learning solutions. You will: Design, develop, and evaluate generative AI models for vision and data science tasks. Collaborate with cross-functional teams to integrate AI-driven solutions into business operations. Build and enhance frameworks for automation, data processing, and model deployment. Develop and deploy AI agents, including Retrieval-Augmented Generation (RAG) systems. Utilize Gen-AI tools and workflows to improve the efficiency and effectiveness of AI solutions. Conduct research and stay updated with the latest advancements in generative AI and related technologies. REQUIREMENTS: B. Tech, M. Tech or PhD in computer science, electrical engineering, statistics or math. At least 8 years of working experience in data science, computer vision, or related domain. Proven experience with building and deploying generative AI solutions. Strong programming skills in Python and solid fundamentals in computer science, particularly in algorithms, data structures, and OOP. Experience with Gen-AI tools and workflows. Proficiency in both vision-related AI and data analysis using generative AI. Experience with cloud platforms and deploying models at scale. Experience with transformer architectures and large language models (LLMs). • Familiarity with frameworks such as TensorFlow, PyTorch, and Hugging Face. • Proven leadership and team management skills. DESIRED SKILLS: • Working experience with AWS is a plus. • Knowledge of best practices in software development, including version control, testing, and continuous integration. • Working knowledge of common industry frameworks and tools around building LLMs, such as OpenAI, GPT, BERT, etc. • Experience with MLOps tools and practices for continuous deployment and monitoring of AI models.

3-5 years of experience in data science, research and development. Strong proficiency in Python, R , or other programming languages for data analysis and model development. Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, etc. Experience working with large-scale data processing tools such as Spark, Hadoop , or distributed computing frameworks. Hands-on experience in designing, developing, and training neural network models from scratch , with successful deployment in production environments. Experience in model quantization and optimization for deployment across different CPU/NPU architectures. Knowledge of accelerators across various chipset vendors and their integration for optimizing AI workloads. Deep understanding of statistical modeling, optimization techniques, and AI methodologies. Understanding of various model training, validation and deployment pipelines . Proven track record of published research or contributions to open-source projects will be appreciated. Excellent communication skills and ability to present complex ideas to both technical and non-technical stakeholders.Role & responsibilities Preferred candidate profile