43 Ai Frameworks Jobs

As a technical consultant at STAEDEAN, you will be an integral part of a dedicated team focused on providing exceptional partner enablement and support experience to Dynamics Partners and Customers. Your role will involve serving as the primary contact for customers, analyzing and prioritizing support cases, providing solutions, and collaborating with both customers and internal teams to ensure seamless integration and deployment of solutions. You will have the opportunity to work with highly skilled professionals in the industry on Microsoft Dynamics AX and D365FO projects. Your responsibilities will include being the first point of contact for customer service and technical support requests, analyzing and prioritizing support cases, communicating effectively with customers, assisting support teams in technical analysis, designing and developing customizations, collaborating with the development team, maintaining professionalism and empathy across multiple customers, staying updated on Microsoft Dynamics advancements, and contributing to the knowledge base repository. To qualify for this role, you should have a minimum of 5+ years of experience in Microsoft Dynamics AX development, with expertise in X++ and object-oriented development. A degree in Engineering (computers/IT/Electronics) is required, along with a functional understanding of Dynamics AX system functions, knowledge of Microsoft SQL Server, proficiency in D365 Technical Fundamentals, and experience with data integrations and ISVs. Familiarity with LCS Functional and Technical aspects, D365O Azure Deployment, ISV Installation & Configuration, and advanced AI frameworks is desirable. In addition to technical skills, excellent communication skills, a strong team player mentality, high customer orientation, and the ability to work with international partners and customers are essential for this role. Previous experience in cross-cultural environments is advantageous. At STAEDEAN, you will have the opportunity to tackle exciting challenges in a fast-paced, innovative environment where your contributions matter. You will work with a supportive team of professionals dedicated to driving innovation and excellence, shaping the future of technology, and making a meaningful impact on customers and partners. Whether you are an experienced professional or just starting your career, STAEDEAN offers ample opportunities for growth, skill development, and career advancement. If you are ready to join a dynamic community, drive innovation, grow professionally, and make a difference in a collaborative and forward-thinking environment, we invite you to apply and bring your expertise to our team at STAEDEAN.,

The AI Strategy & Project Management (PMO / Business Analyst) role based in Bengaluru, KA (Hybrid) for a duration of 12 Months (Possible extension) is a Contract Role. As a Business Analyst / PMO in this position, you will be responsible for leading and supporting AI-driven initiatives within the organization. Your main focus will be on AI implementation, governance, stakeholder coordination, and conducting business impact analysis, all while ensuring alignment with the organization's digital transformation strategy. To excel in this role, you should possess the following skills and experience: Technical & AI Expertise: - You should have at least 5 years of experience in AI strategy, business analysis, project management, or digital transformation roles. - A strong grasp of AI/ML concepts, analytics, and familiarity with emerging AI technologies is essential. - Previous experience working with AI frameworks, automation tools, and cloud platforms such as Azure, AWS, or GCP will be beneficial. - Knowledge of AI governance, ethical AI practices, and compliance standards is required. Project Management & Business Analysis: - A solid background in PMO methodologies, Agile frameworks (Scrum, SAFe), and project governance is necessary. - Proficiency in tools like JIRA, Confluence, Microsoft Project, or other project management tools is preferred. - Ability to define business requirements, create process workflows, and optimize AI-driven workflows is crucial for this role. Stakeholder & Change Management: - Excellent communication and stakeholder management skills are vital for engaging with business leaders, IT teams, and AI experts. - Experience in AI adoption strategies, change management, and user training is highly valued. Preferred Qualifications: - A Bachelors/Masters degree in Business, Computer Science, AI, or a related field is desirable. - Certifications in Project Management (PMP, PRINCE2, Agile, SAFe) or AI & Data Science (Azure AI, Google AI, etc.) are a plus. - Experience in manufacturing, industrial automation, or engineering environments will be an advantage. In summary, the AI Strategy & Project Management role requires a candidate with a strong background in AI strategy, project management, business analysis, and stakeholder management. If you have a passion for leveraging AI technologies to drive business impact and are adept at managing AI-driven initiatives, this could be the perfect opportunity for you.,

About Us Exotel is a leading provider of AI transformation to enterprises for customer engagement and experience. With over 20 billion annual conversations across Omni channel, voice, agents and bots, Exotel is trusted by more than 7000 clients worldwide, spanning industries such as BFSI, Logistics, Consumer Durables, E-commerce, Healthcare and Education. Customer expectations are evolving and businesses face the challenge of balancing the need for increased revenue, optimized costs, and exceptional customer experience (CX). Exotel steps forward as your transformative partner, offering an AI-powered communication solution to address all three! Role Overview As the Director / Sr. Director Product Management for AI Products at Exotel, you will lead the strategy, roadmap, and execution of our AI product portfolio, which includes Conversational AI (voice bots and chatbots), Conversational Quality Analysis and Agent Assist. You will play a pivotal role in building cutting-edge AI-first experiences that enhance customer engagement, improve operational efficiency, and differentiate Exotels CPaaS and CCaaS offerings. This role requires a visionary product leader who combines a deep understanding of AI/ML technologies with strong business acumen, user empathy, and execution excellence. You will partner closely with Engineering, Data Science, Design, Marketing, and Customer teams to create scalable AI products that deliver measurable impact. Experience Product Leadership in AI 15+ years of total experience, with at least 5+ years leading AI/ML product development in a SaaS or cloud-based environment. Strong understanding of LLMs, NLP, Speech-to-Text, NLU/NLG, and AI frameworks. Track record of building and scaling AI products from 0 to 1 and 1 to scale. Enterprise & SaaS Experience At least 5 years of experience building products for enterprise-grade clients. Proven success working in B2B SaaS or enterprise tech domains. Prior exposure to customer experience, contact center automation, or sales/service productivity tools is a plus. Tech Fluency Comfortable working with AI/ML engineers and data scientists to define product requirements. Familiarity with model training workflows, data labeling, and model evaluation metrics. Deep appreciation for privacy, security, and ethical considerations in AI products. Business Acumen Ability to quantify TAM/SAM for AI opportunities and build strong business cases. Experience pricing AI solutions (consumption-based, usage-based, or per-seat licensing models). Strong metrics-orientation: focus on adoption, ROI, time-to-value, and operational efficiency. What You Bring Customer First Thinking: You prioritize real-world problems over technology novelty, focusing on how AI delivers outcomes. Strong Product Sense: You translate abstract ideas into structured product plans with measurable outcomes. Bias for Execution: Ability to lead complex AI initiatives with clarity, speed, and cross-functional collaboration. Continuous Learning: You stay updated on AI trends while grounding your decisions in customer feedback. Data-Informed Mindset: Youre fluent in experimentation, A/B testing, and feedback loops to inform product decisions. Thoughtful Collaboration: You foster a culture of alignment without authority, balancing conviction with openness. Leadership Team Leadership Experience hiring, coaching, and growing high-performing product managers. Ability to mentor team members on technical depth, strategy, and stakeholder influence. Cross-Functional Partnership Proven success working closely with AI/ML, engineering, data science, sales, and CX. Skilled in influencing exec stakeholders and aligning divergent viewpoints. Evangelism & Thought Leadership Comfortable representing Exotel at conferences, customer briefings, and analyst forums. Strong storytelling skills to drive internal alignment and external excitement. What This Role Offers Category-Creation Opportunity: Shape Exotels next-gen AI roadmap across customer engagement touchpoints. Impact at Scale: Drive real-time decisioning, automation, and personalization across millions of customer conversations. Innovation Playground: Work with state-of-the-art LLMs, speech models, and real-world data at scale. Career Acceleration: High-visibility role with potential to evolve into VP-level responsibilities. Collaborative Culture: Join a diverse team that values experimentation, humility, and shared win Show more Show less

You will be part of a team that is developing an enterprise-grade, AI-powered agentic platform for the recruitment industry. Your role as a technical Co-Founder (CTO) will involve leading the development journey and defining the technical vision and architecture of the product from the ground up. Your responsibilities will include: - Defining and executing the technology strategy, roadmap, architecture, and infrastructure for a scalable, secure, and high-performing platform. - Leading hands-on development of the core platform, including AI agent integration, workflow automation, and data interaction layers. - Architecting and implementing LLM-based agentic features using tools like LangChain, OpenAI APIs, RAG pipelines, and vector databases. - Hiring, managing, and mentoring a high-performing engineering team across frontend, backend, ML, and DevOps. - Designing systems to handle large datasets, including data pipelines, analytics, and secure storage solutions. - Overseeing CI/CD pipelines, cloud infrastructure, monitoring, and cost-optimized deployments using AWS/GCP/Azure. The ideal candidate will have: - Proven experience in building and scaling enterprise-level web or mobile apps, preferably from 0 to 1. - Strong skills in Python/Django or Node.js, and modern JS frameworks such as React or Vue. - Deep experience with LLM integration, AI frameworks like LangChain and LlamaIndex, and vector databases like Pinecone and FAISS. - Solid understanding of database architecture, distributed systems, and API-first product development. - Past experience in leading or managing engineering teams. - Experience working in or co-founding an early-stage startup (preferred but not mandatory). Nice to have qualifications include: - Experience with multi-agent orchestration platforms like AutoGen, CrewAI, or AutoGPT. - Exposure to SaaS security, compliance, and data governance. - Knowledge of MLOps and deployment of AI models in production.,

You will be responsible for architecting and delivering Automation and AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Working closely with business stakeholders, you will understand business requirements and design custom AI solutions to address complex challenges. This role offers the opportunity to accelerate AI adoption across the business landscape in the Statistical Applications and Data domain. Your key responsibilities include defining and leading AI use cases in clinical projects from start-up through close-out. This involves tasks such as protocol development, site management, and data review. To excel in this role, you must be a proficient programmer capable of developing AI solutions thoroughly. Additionally, you will be expected to coach and mentor junior AI/ML engineers to enhance and accelerate AI adoption in business processes. Required Technical Skills: - Bachelors degree in a relevant scientific discipline (e.g., Biomedical engineering, Life Sciences, Nursing, Pharmacy) or clinical background (e.g., MD- Doctor of Medicine OR RN - Registered Nurse) - Advanced degree (e.g., Masters or Ph.D.) in Data Science, AI/ML - Overall experience of 10-12 years with a minimum of 5-7 years in clinical research, particularly managing clinical trials in pharmaceutical, biotechnology, or contract research organization (CRO) settings - Minimum of 5-7 years of experience in AI research and development, specifically focusing on healthcare or life sciences applications - Strong understanding of clinical trial regulations and guidelines, including Good Clinical Practice (GCP), International Conference on Harmonization (ICH), and applicable local regulations - Proven track record in designing and delivering AI solutions, emphasizing foundation models, large language models, or similar technologies - Experience in natural language processing (NLP) and text analytics is highly desirable - Proficiency in programming languages such as Python, R, and experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face - Knowledge of libraries such as SciKit Learn, Pandas, Matplotlib, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus - Experience working with large datasets, performing data pre-processing, feature engineering, and model evaluation - Proficiency in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions In summary, this role requires a seasoned professional with a strong background in AI, clinical research, and technical expertise to drive innovation and AI adoption in the pharmaceutical domain, particularly in clinical settings.,

As an AI & ML Instructor at ADaSci, you will be responsible for delivering comprehensive corporate training sessions to experienced professionals. Your deep expertise in artificial intelligence (AI), machine learning (ML), cloud platforms (Azure, AWS, GCP), data engineering, and MLOps will enable you to design engaging and informative training sessions that empower professionals to excel in their field. Your key responsibilities will include developing and delivering training sessions on AI, ML, and related topics, designing hands-on labs and practical exercises to enhance learning, customizing training materials to meet the specific needs of corporate clients, providing real-world examples and case studies to illustrate concepts, evaluating participants" progress, and staying updated on the latest trends in AI, ML, cloud computing, data engineering, and MLOps. To excel in this role, you should possess a graduate degree with 10+ years of experience, postgraduate degree with 5+ years of experience, or a PhD with 2+ years of experience. You should have proven experience as an instructor or trainer in AI, ML, data engineering, or related fields, deep knowledge of AI and ML algorithms, proficiency in cloud platforms, experience with MLOps, strong understanding of data engineering principles, and familiarity with system design and architecture. Preferred skills include hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), knowledge of containerization technologies like Docker, experience with big data technologies (e.g., Hadoop, Spark), and previous experience in corporate training or educational settings. Strong communication, presentation, problem-solving skills, and the ability to adapt training content for diverse audiences are essential for success in this role.,

You are a highly motivated and technically strong Data Scientist / MLOps Engineer with 13 years of experience, looking to join our growing AI & ML team in Kolkata. Your role will involve designing, developing, and deploying scalable machine learning solutions with a focus on operational excellence, data engineering, and GenAI integration. Your key responsibilities will include building and maintaining scalable machine learning pipelines using Python, deploying and monitoring models using MLFlow and MLOps stacks, designing and implementing data workflows with PySpark, and leveraging standard data science libraries for model development. You will also work with GenAI technologies such as Azure OpenAI and collaborate with cross-functional teams to meet business objectives. To excel in this role, you must have expertise in Python for data science and backend development, solid experience with PostgreSQL and MSSQL databases, hands-on experience with data science packages like Scikit-Learn, Pandas, Numpy, and Matplotlib, as well as experience with Databricks, MLFlow, and Azure. A strong understanding of MLOps frameworks and deployment automation is essential, along with prior exposure to FastAPI and GenAI tools like Langchain or Azure OpenAI. Preferred qualifications include experience in the Finance, Legal, or Regulatory domain, working knowledge of clustering algorithms and forecasting techniques, and previous experience in developing reusable AI frameworks or productized ML solutions. You should hold a B.Tech in Computer Science, Data Science, Mechanical Engineering, or a related field. By joining us, you will work on cutting-edge ML and GenAI projects, be part of a collaborative and forward-thinking team, and have opportunities for rapid growth and technical leadership. This is a full-time position based in Kolkata, with benefits including leave encashment, paid sick time, paid time off, Provident Fund, and work from home options. If you meet the required qualifications and are excited about the prospect of working in a dynamic AI & ML environment, we encourage you to apply before the application deadline of 02/08/2025. The expected start date for this position is 04/08/2025.,

As a Business Application Solution Architect at SAP, you will play a crucial role in designing and implementing high-quality technical solutions for our business applications. You will collaborate closely with business stakeholders and product owners to translate business requirements into robust and scalable architectures. Your responsibilities will include defining and overseeing the architecture of SAP Fiori applications and RPA Solutions, integrating them with back-end systems, (Generative) AI models and solutions, and ensuring alignment with our strategic objectives. Your expertise in SAP and proprietary platforms, strong problem-solving skills, and ability to collaborate across teams will be essential for success in this role. Key Responsibilities: - Work with business stakeholders, product owners, and cross-functional teams to understand business processes and requirements. - Develop solution architectures for business applications, with a focus on SAP Fiori, UI5, and related technologies. - Design scalable, high-performance backend services using CAP (Cloud Application Programming) model and CDS (Core Data Services) views. - Lead the integration of SAP Fiori applications with OData services and other back-end systems. - Design the architecture of SAP Build and MS Power Platform solutions, either stand-alone or integrated with SAP Fiori. - Collaborate on system architecture, ensuring alignment with enterprise architecture principles and best practices. - Guide development teams in implementing solutions that adhere to architectural design and meet performance and security standards. - Provide technical leadership and mentoring to development teams, ensuring best practices are followed. - Participate in the full software development lifecycle, from conceptual design through to deployment and support. - Stay updated on emerging technologies and trends in SAP and cloud technologies, (Generative) AI, and recommend improvements to existing solutions. What You'll Bring: - Bachelor's degree in Computer Science, Information Technology, or a related field. - 8+ years of experience in designing and implementing enterprise solutions, with a focus on SAP Fiori, UI5, and related frameworks like Angular JS/React JS. - Proficiency in developing and extending SAP Fiori applications, including front-end and back-end integration. - Strong experience with SAP Cloud Application Programming (CAP) model, Core Data Services (CDS) views, and Node.js. - Expertise in working with OData services, JSON, XML, and SQL databases. - Experience in leading technical discussions and translating business requirements into solution architectures. - Ability to work closely with business stakeholders and translate their needs into technical requirements. - Solid understanding of Agile development practices, including leading or participating in scrum ceremonies. - Excellent communication and presentation skills, with the ability to articulate technical concepts clearly to non-technical stakeholders. Preferred Skills: - SAP Business Technology Platform (BTP) experience. - Hands-on experience with SAP S/4HANA or other SAP cloud products. - Knowledge of security standards and best practices in SAP environments. - Experience in DevOps and CI/CD processes for cloud-based applications. - Familiarity with (mobile) application development for SAP solutions. - Experience with the development and/or application of machine learning, Generative AI models, and other AI frameworks. At SAP, we empower over four hundred thousand customers worldwide to work together more efficiently and use business insight more effectively. As a cloud company with a global reach, we are committed to inclusion, health, well-being, and flexible working models to ensure that everyone, regardless of background, feels included and can perform at their best. We believe in unleashing all talent and creating a better and more equitable world. Join us at SAP to bring out your best. SAP is an equal opportunity workplace and an affirmative action employer. We value diversity and invest in our employees to help them realize their full potential. If you require accessibility accommodations or special assistance during the application process, please reach out to our Recruiting Operations Team at Careers@sap.com. Please note that successful candidates may be required to undergo a background verification with an external vendor. Requisition ID: 407948 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: .,

As a Senior Data Scientist with expertise in Deep Learning and NLP, you will be responsible for researching, designing, and developing core Artificial Intelligence (AI) and Machine Learning (ML) algorithms. Your essential skills will include working experience with various AI frameworks, such as CRFs, BERT/Transformers, and text summarization models. You should have past experience in Entity Detection and Disambiguation, Intent Detection, and deploying machine learning models in a production environment using tools like TensorFlow Serving. Your role will involve collaborating with functional domain experts, implementation teams, and AI backend teams to ensure efficient product development, production release, and development cycles. It is crucial to stay updated with the latest AI developments, including training libraries/frameworks, Reinforcement Learning, and Deep Learning, by reading and researching state-of-the-art papers in NLU problems. You will work with large datasets of support tickets and unstructured data sources, building Deep Learning models in TensorFlow for GPUs and CPUs. Additionally, collaborating with Backend Engineers to deploy your models to production will be part of your responsibilities. Your background should include a Bachelor's degree in B.E/B.Tech, with a strong industry focus on IT/Computers-Software. You must possess a good understanding of Transfer Learning concepts, Question-Answering Framework, and have experience in building production-ready NLP systems. Familiarity with Distributed systems like Docker, Kubernetes, and Azure, as well as working knowledge of Linux OS, will be beneficial for this role. If you have the passion and skills to work on cutting-edge AI technologies, this Senior Data Scientist position offers a challenging opportunity to contribute to the development of innovative NLP systems in a dynamic environment.,

The Gen AI Architect will play a key role in designing, implementing, and overseeing the development of advanced generative AI models, platforms, and systems. You will work closely with data scientists, engineers, and business stakeholders to design AI solutions that drive value and innovation. Lead the design and development of scalable, high-performance generative AI systems. Architect end-to-end AI solutions, from data collection and preprocessing to model development and deployment. Ensure seamless integration of AI systems into existing platforms, enhancing business functionality. Lead the design and development of generative AI models, including but not limited to transformers and Large Language Models (LLMs). Collaborate with research teams to keep the organization at the forefront of AI advancements. Stay up-to-date with the latest advancements in generative AI research and technology. Drive innovation in AI strategies, recommending tools, techniques, and approaches to improve performance and capabilities continually. Contribute to the development of AI strategies that align with organizational goals and objectives. Required Skills & Experience: - Proven experience in AI/ML model development, with a focus on generative models such as LLM, transformers. - Strong experience in MLOps. - Strong experience designing and deploying scalable AI architectures in the cloud environments (AWS/Azure/GCP). - Experience with AI frameworks and libraries such as Tensor Flow PyTorch. - Experience with data engineering and pre-processing for generative models. - Deep understanding of deep learning, reinforcement learning, unsupervised learning, and Natural Language Processing (NLP). - Proficiency in Python and other relevant programming languages. - Strong knowledge of machine learning pipelines, model versioning, and CI/CD for AI/ML.,

You will be part of our expanding Technology team at ShyftLabs, where we are seeking an AI Engineer to develop and implement AI-powered applications at scale. As a pragmatic problem solver with strong backend engineering skills, you will apply AI concepts and frameworks to design, develop, and optimize solutions that address complex business challenges for our clients. ShyftLabs is a leading data and AI company specializing in data platforms, machine learning models, and AI-powered automation. We provide consulting, prototyping, solution delivery, and platform scaling services to Fortune 500 clients, helping them transform their data into actionable insights. Your responsibilities will include researching, designing, and developing AI-powered applications, integrating AI models into scalable production environments, collaborating with cross-functional teams, optimizing AI implementations for performance and cost efficiency, ensuring AI systems meet quality standards, and staying updated with the latest AI tools and frameworks for proposing innovative solutions. Documenting technical processes and implementations will also be crucial for knowledge sharing within the team. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or a related field, with a strong software engineering background and at least 3 years of experience building applications at scale. You must have proven experience in implementing and deploying AI solutions in production environments, proficiency in programming languages like Python, JavaScript, or Java, familiarity with modern AI frameworks and tools, understanding of software design patterns, API development, and system architecture, knowledge of containerization technologies and cloud platforms for AI development, strong problem-solving skills, and the ability to translate business requirements into technical solutions. At ShyftLabs, we offer a competitive salary and a comprehensive insurance package. We are committed to the growth of our employees and provide extensive learning and development resources to support their professional development.,

As a Generative AI Engineer at DYNAMICNEXT, you will be responsible for designing and implementing generative AI systems using cutting-edge tools like ChatGPT, Midjourney, Stable Diffusion, Runway, ElevenLabs, Luma AI, Meshy, Scenario, Kaedim, Triplo3D, and more. You will conduct research and experiments across modalities to create images, videos, audio, narrative, and 3D assets. Your role will involve building, fine-tuning, and evaluating open-source or foundation models to enhance content quality and align with specific game styles. In this position, you will develop pipelines for generating low-poly 3D models, props, and environments that are optimized for Unity integration. You will engineer scalable, modular, and automatable AI content pipelines and infrastructure to streamline asset creation workflows. Collaboration with engineers, product managers, game designers, analytics teams, and artists will be essential to ensure technical alignment and creative fidelity. Key Attributes for success in this role include familiarity with prompt engineering and fine-tuning, experience working with game assets, strong creative thinking to apply generative AI in narrative, level design, or game asset generation, as well as the ability to experiment, prototype rapidly, and iterate based on feedback. Experience with text-to-image, text-to-animation, or voice synthesis tools will be beneficial. The ideal candidate will hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. You should have at least 3 years of hands-on experience with AI systems, with a particular focus on generative models. Demonstrated experience in building or integrating AI tools into creative pipelines, ideally within gaming, animation, or interactive media is desired. A passion for AI, games, openness to experimentation, and continuous learning are key qualities we are looking for. If you are ready to be part of our dynamic team and contribute to building the next big thing in gaming, we invite you to apply now and embark on an exciting journey with DYNAMICNEXT.,

Vayuz Technologies is seeking an innovative and self-starting Artificial Intelligence Engineer. You will be an AI expert with a strong background in making architectural tradeoffs to optimize AI performance for a variety of use cases. This role involves close collaboration with internal and external development engineers (architecture, hardware, validation, software services), contributing to development, and supporting device characterization and benchmarking efforts. Responsibilities Large Models & Deep Neural Networks: Demonstrate proficiency and hands-on experience in working with large models and deep neural networks. LLM Expertise: Possess expertise in LLMs with working knowledge of large language models (LLMs). System Architecture: Bring extensive experience in System platform Architecture. Development Experience: Experience in development, preferably for memory/storage/any embedded system. Standards & Patents: Possess in-depth knowledge and extensive experience in dealing with Standardizations, Technical Papers, and Patents. Programming Proficiency: Extensive experience with C/C++ and Python programming. LLM Development & Fine-tuning: Develop and fine-tune LLMs (e.g., GPT, Llama, Mistral, Falcon, Claude) for domain-specific applications. RAG Pipeline Implementation: Implement RAG (Retrieval Augmented Generation) pipelines using tools like LlamaIndex, LangGraph, and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to significantly enhance response accuracy. AI-Powered Agents: Build advanced AI-powered chatbots and autonomous agents using frameworks like LangGraph, CrewAI, and leveraging LlamaIndex and OpenAI APIs. Generative AI Optimization & Deployment: Optimize and deploy generative AI models for real-time inference using cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools (e.g., Docker, Kubernetes, MLflow). Model Fine-tuning Techniques: Fine-tune models using techniques such as LoRA, QLoRA, PEFT, and RLHF to improve efficiency and personalization. AI-Driven Workflows: Develop AI-driven workflows for structured reasoning and decision-making using CrewAI and LangGraph. Multi-Modal AI Integration: Integrate multi-modal AI models (text, image, speech) into comprehensive enterprise solutions. Memory & Retrieval Strategies: Implement memory and retrieval strategies for LLM-based systems using vector search and caching techniques. Ethical AI: Ensure AI models adhere to ethical AI guidelines, incorporate bias mitigation strategies, and follow robust security best practices. Requirements B.Tech in Computer Science or Electrical Engineering. Experience in the relevant domain. Strong analytical and abstract thinking ability, as well as excellent technical communication skills. Able to work independently and perform effectively in a fast-paced environment. Ability to troubleshoot and debug complex issues efficiently. Working knowledge of Device Drivers is desirable. Prior experience in working with Agile/Scrum methodologies. Required Skills Languages & Frameworks: Proficiency in Python, PyTorch, TensorFlow, JAX. LLMs: Large Language Models (GPT, Llama, Mistral, Falcon, Claude). Vector Databases: FAISS, Pinecone, Weaviate, ChromaDB. AI Frameworks: LlamaIndex, LangGraph, CrewAI, OpenAI APIs. MLOps & Cloud: Docker, Kubernetes, MLflow, AWS, GCP, Azure. Fine-tuning: LoRA, QLoRA, PEFT, RLHF.

As an AI Developer/Lead, you will be responsible for leading the development and implementation of AI-powered solutions to enhance nonprofit operational efficiency. Your role will involve technical leadership and hands-on development, driving aggressive 6-week implementation cycles and a multi-modal development approach. Your key responsibilities will include: - Leading technical design and architecture decisions for AI applications across all classification categories - Overseeing PoC development, bug fixes, iteration, and production builds - Implementing and maintaining open-source AI foundations such as Llama, Haystack, and LlamaGuard - Designing and managing synthetic data pipelines for training and analytics - Ensuring deployment and go-live support for all AI applications In terms of development strategy execution, you will: - Drive accelerated creation using AI-powered development tools like Replit, Windsurf, and Cursor for rapid prototyping - Manage the complete development lifecycle from initial AI-assisted development to production deployment - Collaborate with a global contributor network through GitHub - Integrate OSINT information into research and analytics workflows Your application development focus areas will include: - Basic automation for meeting reports, eCourts monitoring, and administrative workflows - Developing custom data management platforms to replace Excel-based systems - Building specialized LLM chatbots with domain knowledge across multiple functions - Implementing multi-modal tracking solutions for image, video, audio, and location data - Using ML/NLP tools for hotspot prediction, translation services, and investigative tools - Developing compliance applications with automated DPDP and regulatory adherence - Integrating cybersecurity with secure communication frameworks Required qualifications for this role include: - 5+ years of experience in AI/ML development and deployment - Proficiency in Python, JavaScript, React, and modern AI frameworks - Experience with LLM integration, fine-tuning, and safety models - Hands-on experience with inference engines and API integration - Strong background in server deployment and infrastructure management - Experience with AI-assisted development tools, open-source development, and GitHub collaboration - Proven ability to deliver production applications in aggressive timelines - Experience working with distributed international teams across multiple time zones Preferred qualifications include experience with multi-modal AI applications, knowledge of cloud-based inference services and self-hosted model deployment, and DevOps experience with server management and deployment automation.,

You will be joining VarsityX, an innovative AI-first career accelerator incubated by Wisdom tree that aims to revolutionize education by connecting classroom learning with industry requirements. Your role as a Project Specialist will involve spearheading the development, implementation, and enhancement of AI-focused educational initiatives. You will be responsible for ensuring the quality and effectiveness of programs, managing student cohorts, collaborating with stakeholders such as SSCBS, MIT, and Stanford mentors, and establishing robust program management systems. Your main responsibilities will include designing evidence-based curricula for various programs, integrating cutting-edge AI tools, managing program logistics and resources, evaluating program outcomes, providing counseling to participants, and fostering stakeholder engagement. As a crucial member of this virtual-first startup, you will have the opportunity to contribute to the growth and success of the business by maintaining high standards in program execution, stakeholder relationships, and entrepreneurial leadership. To excel in this role, you should possess a Bachelor's degree in education, technology, business, or a related field, with experience in project management, program delivery, or product development being advantageous. Strong organizational skills, proficiency in project management tools, excellent communication abilities, and a passion for AI-focused education are essential. An entrepreneurial mindset, adaptability, and a commitment to research rigor will be key attributes for success in this role. Your compensation package will include a competitive base salary, performance-based bonuses, and equity options, providing you with the opportunity to be a part of VarsityX's growth journey. By joining VarsityX, you will have a unique chance to shape the future of AI-driven education, collaborate with prestigious partners, and make a meaningful impact on students" careers in a dynamic and inclusive environment with significant growth potential.,

Qualcomm India Private Limited is seeking Developer Advocates to support developers in creating generative AI and AI-driven hardware applications. As a Developer Advocate, you will engage with the community, develop resources to onboard developers onto Qualcomm platforms that are utilized in various industries and applications including mobile, laptops, mixed-reality, robotics, and industrial IoT. Collaboration with product, engineering, and regional sales teams is essential to drive awareness and engagement for Qualcomm platforms. The ideal candidate should possess experience in building end-to-end applications in areas such as Computer Vision, Audio, LVM, LLM using AI/ML tools on Linux/Windows for CPU, GPU, and AI accelerators. A passion for developing AI models and integrating them into different applications is crucial. Responsibilities include developing plans to engage with external developers in IoT, Automotive, and the Microsoft device ecosystem, collaborating across software and hardware engineering teams, understanding ML model design trends, and contributing new features to the Qualcomm AI toolkit. The role involves interfacing with 3rd party developers to create easy-to-use sample applications and documentation for Windows on Snapdragon. Minimum Qualifications: - Bachelor's or advanced degree in computer science, artificial intelligence, or a related field. - 6+ years of Software Engineering, Systems Engineering, or related work experience. Preferred Qualifications: - In-depth knowledge of AI frameworks like TensorFlow, PyTorch, GPU programming, and parallel computing. - Proficiency in AI software stack, AI performance tuning techniques, and development of AI applications on Windows. - Experience with training and deployment of models on servers and client Windows compute platforms. - Strong programming skills in Python, C++. - Excellent communication and leadership abilities. - Proficient in problem-solving, analytical thinking, and adaptation to a fast-changing environment. - Familiarity with software development methodologies, version control systems, and agile project management practices. - 12+ years of experience in application development with a focus on High-Performance Computing and 5+ years in AI application development on Windows. Qualcomm is an equal opportunity employer and is committed to providing accommodations for individuals with disabilities during the application process. If you need assistance, you can email disability-accommodations@qualcomm.com or call Qualcomm's toll-free number. Note: The above email address is specifically for disability accommodations and not for updates on applications or resume inquiries.,

You will be stepping into the role of a Tech Lead as an experienced Python Developer, taking charge of a team of skilled engineers for the development of cutting-edge AI solutions. Your responsibilities will involve a mix of technical expertise, leadership qualities, and hands-on development skills. Guiding the team through complex projects using Agile methodologies, you shall ensure all solutions are scalable, maintainable, and of top-notch quality. Your mentorship, effective communication, and passion for innovation will be crucial in driving the team towards achieving its full potential and delivering exceptional results. Your essential skills will include proficiency in Python with strong programming capabilities, experience in asynchronous programming using asyncio and RabbitMQ, expertise in building asynchronous APIs with FastAPI, proficiency in PostgreSQL or MongoDB for database management, familiarity with Docker/Kubernetes for container technologies, and a solid understanding of Git for version control. Moreover, your preferred skills may encompass knowledge of AI Frameworks such as PyTorch or TensorFlow, Vector Databases, RAG, experience in data manipulation using Pandas for data processes and Jinja for templating, understanding of AI/ML and Data analytics technologies like Pandas Team Management. Your role will involve leading a team of engineers, providing mentorship and guidance, overseeing design and architecture decisions, conducting code and design reviews, and balancing leadership responsibilities with hands-on development. Soft skills like efficient problem-solving, strong verbal and written communication abilities, and a passion for continuous learning of new technologies and frameworks will be essential for your success in this position.,

As a Principal Engineer - Artificial Intelligence at Commvault, you will have the exciting opportunity to be part of an exceptional engineering team that thrives on innovative ideas. We are looking for individuals who are passionate about leveraging AI to enhance customer interactions, streamline processes, and drive overall business growth. Your responsibilities will include designing, developing, and deploying advanced AI models such as machine learning algorithms, natural language processing, and computer vision to tackle specific customer experience challenges. You will be collecting, cleaning, and analyzing large datasets to identify patterns, trends, and insights that will inform the development and optimization of AI models. Integration of AI solutions seamlessly into existing customer experience systems and platforms to ensure a cohesive and personalized customer journey will be a key aspect of your role. Continuous refinement and improvement of AI models to enhance their accuracy, efficiency, and effectiveness in delivering exceptional customer experiences will be a priority. You will also be involved in developing and testing AI-powered prototypes and Proof of Concepts (POCs) to demonstrate the feasibility and value of proposed solutions. Collaboration with cross-functional teams, including product managers, designers, and customer success representatives, to align AI initiatives with business objectives and customer needs is essential. To excel in this role, you should have a Bachelor's degree along with strong programming skills in Python or other relevant programming languages. Experience with popular AI frameworks and libraries, such as TensorFlow, PyTorch, and Scikit-learn, is required. In-depth knowledge of machine learning algorithms, natural language processing techniques, cloud platforms, AI services, CRM systems, and ethical AI practices is necessary. Experience with AI-powered chatbots or virtual assistants, as well as security and SaaS experience, is strongly preferred. At Commvault, we offer a supportive work environment with benefits such as an Employee Stock Purchase Plan (ESPP), continuous professional development, annual health check-ups, and more. We value inclusivity, professional growth, and work-life balance. If you are ready to #makeyourmark at Commvault and contribute to cutting-edge AI solutions, we encourage you to apply now and be a part of our dynamic team.,

You will be the ideal candidate if you are an experienced Python Developer with a knack for leading a team of skilled engineers in the development of cutting-edge AI solutions. Your role will demand a unique mix of technical expertise, leadership acumen, and hands-on development prowess. As the Tech Lead, you will be instrumental in steering the team through complex projects using Agile methodologies to ensure that all solutions are not only scalable and maintainable but also of the highest quality. By providing mentorship, fostering effective communication, and showcasing a strong passion for innovation, you will be the driving force behind the team's success, pushing them to reach their full potential and deliver exceptional results. Your essential skills should include a high level of proficiency in Python, expertise in asynchronous programming with asyncio and RabbitMQ, building asynchronous APIs using FastAPI, proficiency in either PostgreSQL or MongoDB for database management, experience with Docker and Kubernetes for container technologies, and a solid understanding of Git for version control. Moreover, preferred skills for this role encompass knowledge of AI Frameworks like PyTorch or TensorFlow, familiarity with Vector Databases and RAG, hands-on experience with Pandas for data manipulation processes and Jinja for templating, an understanding of AI/ML and Data analytics technologies such as Pandas, and proficiency in Team Management. Your responsibilities will revolve around team management, where you will lead a team of engineers by providing mentorship and guidance, overseeing design and architecture decisions, conducting code and design reviews, balancing leadership responsibilities with hands-on development, and exhibiting soft skills such as efficient problem-solving, strong communication both verbally and in writing, and a continuous passion for learning new technologies and frameworks. If you possess the required skills in Python and a genuine interest in GenAI, along with the supported skills, we encourage you to apply for this exciting Tech Lead position.,

Job Summary: We are looking for an innovative and technically proficient AI Solution Designer to conceptualize, architect, and validate AI-based solutions, with a strong emphasis on Proof of Concept (PoC) development. The ideal candidate will translate business needs into AI-powered solutions, design architecture, guide development teams, and demonstrate feasibility through rapid prototyping and PoCs. Key Responsibilities: 1. Solution Design & Architecture Translate business problems into AI/ML-driven solution designs. Define scalable AI/ML solution architectures using appropriate models, frameworks, APIs, and data pipelines. Collaborate with data engineers, ML engineers, and business stakeholders to ensure alignment. 2. Proof of Concept Development Design and develop PoCs to validate feasibility, performance, and business value of proposed AI solutions. Rapidly prototype AI features using tools such as Python, TensorFlow, PyTorch, Hugging Face, OpenAI APIs, LangChain, etc. Document PoC findings, results, and recommendations for full-scale implementation. 3. Technical Analysis & Documentation Conduct deep technical evaluations of AI/ML models, including accuracy, performance, and risk. Create detailed technical documentation including solution architecture diagrams, data flow diagrams, and API specs. Present PoC results and technical recommendations to stakeholders and executive teams. 4. Stakeholder Engagement Engage with cross-functional teams (Product, IT, Business, and Data teams) to understand needs and gather requirements. Act as a bridge between data science, engineering, and business teams to ensure successful delivery of AI initiatives. 5. Innovation & Best Practices Stay updated with the latest trends in AI, including LLMs, Generative AI, and AutoML. Recommend tools, frameworks, and platforms that can accelerate PoC and solution delivery. Promote reusability and modular architecture principles for AI solution components. Design, develop, and deploy conversational AI solutions using various tools such as Wren AI, Voice Flow, and ML algorithms. Collaborate with cross-functional teams to integrate AI models into existing systems and applications. Develop generative AI models for text generation, image processing, and other forms of data manipulation. Troubleshoot issues related to AI model performance and optimize system architecture for improved efficiency. Required Skills & Experience: Proven experience in designing AI/ML solutions and delivering PoCs in a business context. Strong programming experience with Python; exposure to ML libraries like Scikit-learn, TensorFlow, PyTorch. Experience with cloud platforms (AWS, Azure, GCP) and AI services (SageMaker, Azure ML, Vertex AI). Hands-on with APIs and frameworks like OpenAI, LangChain, FastAPI, Flask. Familiarity with MLOps tools (MLflow, DVC, Kubeflow) is a plus. Strong problem-solving, analytical, and architectural thinking abilities. Excellent communication and stakeholder management skills. Preferred Qualifications: Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field. Certifications in AI/ML technologies or cloud platforms. Experience with enterprise AI systems or AI product development lifecycle. 3-6 years of experience in Conversational AI development or a related field. Strong understanding of AIMl, Python programming language, TensorFlow/PyTorch machine learning frameworks. Experience with natural language processing (NLP) techniques including large language models like BERT.

The Application Manager will be responsible for engineering, testing, and deploying complex applications into a cloud environment. You should have a proven ability in integrating various applications like MS Office, Google Chrome, Adobe Acrobat, and Accessibility tools into physical and virtual platforms. Your role will require you to work both independently and as part of a team. You must have hands-on experience in developing and implementing automation solutions, as well as familiarity with AI technologies. Strong programming skills in languages like Python, Java, or C++ are essential. Additionally, you should possess extensive experience with Group Policy Object (GPOs) and Microsoft Active Directory (AD), including user personalization such as DEM. Knowledge of Application Virtualization technologies such as Microsoft App-V and Numecent is required. Experience with AI frameworks and tools like Copilot, TensorFlow, PyTorch, or similar is a plus. Understanding machine learning algorithms and techniques is essential for this role. The ideal candidate will have excellent problem-solving skills and the ability to work effectively both independently and as part of a team. Experience with cloud platforms such as Azure would be advantageous. Preferred qualifications include experience in application engineering, testing, packaging, and deployment. Proficiency in Microsoft Azure Cloud, App-V & Numecent application virtualization, expertise in Active Directory, Scripting, and Group Policy Objects, and experience with natural language processing (NLP) and computer vision technologies are desirable. Familiarity with DevOps practices and GitLab tools for continuous integration and deployment is a plus. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Engineering, or a related field.,

The role of Generative AI Engineer at JS GLOBAL IT CONSULTANCY SERVICES in Manesar is a full-time hybrid position based in New Delhi with the flexibility of working from home. As a Generative AI Engineer, your main responsibilities will include conducting research, performing data analysis, developing and implementing AI models, and utilizing laboratory skills to advance AI technologies. In addition, you will be required to analyze results, communicate findings, and collaborate with team members to enhance AI solutions. To excel in this role, you should possess strong analytical skills and data analysis abilities, proficiency in communication and collaborative work, research experience, and proficiency in laboratory skills. A Bachelor's or Masters degree in Computer Science, AI, Data Science, or a related field is required. Experience with AI frameworks and programming languages such as Python, TensorFlow, and PyTorch is also essential. The ability to work independently as well as part of a team is crucial for success in this position.,

As a Principal Software Engineer at Red Hat OpenShift Engineering team in Bangalore, India, you will be a valuable member of an agile team dedicated to enhancing the engineering of Red Hat OpenShift Container Platform and its core components within Kubernetes. Your role will involve collaborating with various engineering teams, product management, and key stakeholders to fulfill customer requirements and adapt to the evolving needs of Red Hat OpenShift's growing customer base. Your responsibilities will include developing architectural and design principles to enhance product performance, capacity, and scalability. You will contribute to feature development, bug fixes, and peer code reviews within an agile team structure. Additionally, you will work closely with Engineering, Product Management, and Support teams to prioritize customer-facing features throughout the product lifecycle. In this role, you will play a key part in engaging with the open source Kubernetes community, leading the implementation of crucial improvements in the software product. Your expertise will be crucial in defining the high-level structure of software systems, providing architectural viewpoints on customer solutions, and ensuring product quality through continuous integration, delivery, and security threat responses. To excel in this position, you should possess an engineering degree or higher in computer science or a related field, along with 8+ years of coding experience in languages like Go, Java, or Python. Strong architectural mindset, experience with containers and Kubernetes, and problem-solving skills are essential. Excellent written and verbal communication skills are also required to effectively communicate architectural decisions to stakeholders and technical staff. Experience with AI frameworks, Red Hat Enterprise Linux, open source development models, test-based development methodologies, and observability tools will be advantageous. Additionally, familiarity with enterprise application development and running applications on OpenShift will be beneficial for this role. At Red Hat, we value diversity and inclusivity, encouraging individuals from all backgrounds to contribute their ideas and make an impact in our open and collaborative environment. We are committed to providing equal opportunities and access to all applicants, celebrating the unique perspectives and experiences that enrich our global community.,

As a Product Security and QA Lead at Aptiv, you will play a crucial role in driving security and quality assurance initiatives for edge AI applications. Your primary responsibility will be to ensure that our edge computing solutions meet the highest standards of security, reliability, and performance. By leading cross-functional teams, you will establish robust security frameworks and quality processes specifically tailored for AI applications deployed at the edge. In terms of security leadership, you will be responsible for designing and implementing comprehensive security frameworks for edge AI applications. This includes ensuring secure model deployment, data protection, and device authentication. You will conduct threat assessments specific to edge AI environments, identify vulnerabilities in AI models, edge devices, and communication channels, and establish security testing protocols such as penetration testing, vulnerability assessments, and adversarial AI testing. Compliance management will also be a key aspect of your role, as you ensure adherence to industry standards and emerging AI governance frameworks, including ISO 27001, NIST, GDPR, and CCPA. Additionally, you will implement privacy-preserving techniques for edge AI, such as federated learning, differential privacy, and secure multi-party computation. In terms of quality assurance leadership, you will develop and execute comprehensive QA strategies for edge AI products, including model validation, performance testing, and reliability assessment. You will create detailed test plans covering functional, performance, security, and AI-specific testing scenarios, and lead and mentor QA engineers, security analysts, and test automation specialists. Establishing KPIs and metrics for product quality, security posture, and AI application/model performance will be essential, along with continuously optimizing testing processes and methodologies for edge AI applications. Your background should include a Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field, along with 10+ years of experience in product security and/or QA leadership roles, with at least 3 years specifically in AI/ML or edge computing. Deep understanding of cybersecurity principles, threat modeling, security testing methodologies, machine learning algorithms, model training, inference, AI system architectures, edge computing platforms, IoT devices, distributed AI systems, programming proficiency in Python, C/C++, and scripting languages, experience with security testing tools, AI frameworks, cloud platforms, and testing frameworks will be crucial for success in this role. Join Aptiv to be part of an inclusive work environment that fosters growth and development for all individuals, regardless of gender, ethnicity, or beliefs. Make an impact by contributing to a safer world with zero fatalities, zero injuries, and zero accidents. Benefit from resources and support for your family, physical, and mental health, including competitive health insurance. Enjoy hybrid and flexible working hours, higher education opportunities, life and accident insurance, Sodexo cards, well-being programs, EAP Employee Assistance, access to fitness clubs, and creche facilities for working parents. Apply today to be a part of shaping tomorrow at Aptiv!,

Required Skills: Strong experience in AI/ML architecture and solution design. Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with LLMs and generative AI (OpenAI, Azure OpenAI, LangChain, Hugging Face). Strong programming background in Python (FastAPI, Flask), and familiarity with Java/Node.js. Experience in cloud platforms (AWS/GCP/Azure) and ML toolkits (SageMaker, Azure ML, Vertex AI). Good understanding of microservices, REST APIs, GraphQL, and event-driven architecture. Knowledge of vector databases like Pinecone, FAISS, Chroma, or Weaviate. Proficiency with CI/CD, Docker, Kubernetes, MLflow, Airflow, or similar tools.