88 Ai Models Jobs

As a Senior Engineer in the Core Platform Products team, you will be responsible for developing and supporting drivers on various interfaces such as USB, Storage, I2C, SPI, Slimbus, and more. With 3 to 6 years of experience, your expertise will be crucial in this role located in Hyderabad. Your qualifications should ideally include a Bachelors or Master's Degree in Engineering, Information Systems, Computer Science, or a related field. It is essential to have a solid understanding of microprocessor and multiprocessor architecture, including ARM, DSP, etc. Additionally, a good grasp of real-time/embedded programming concepts and real-time operating systems is important. Hands-on experience with the Android Application Framework, Android native daemons/services, AIDL HALs, as well as system programming on Linux/Unix OS will be beneficial. Proficiency in debugging tools like T32, gdb, and crash analysis using android tombstones, T32, crash utility is necessary. Familiarity with Git, Android Make, Android Tools, Android Studio, Adb is also preferred. If you have experience in developing Linux kernel drivers and modifying kernel code, it will be considered a plus. Knowledge of AI models and proficiency in python for AI/ML related software development will also be an advantage. In this role, you will work under supervision and your decision-making may impact work beyond your immediate group. Strong communication skills, both verbal and written, are essential for conveying information effectively. You should be able to analyze, triage, and debug complex system-level problems using tools like Lauterbach and Trace tools. Your responsibilities will involve tasks that do not have defined steps, requiring effective planning, problem-solving, and prioritization skills. An excellent understanding of OS fundamentals, data structures, Linux kernel, and the device driver model is crucial for success in this position. Your ability to work collaboratively, communicate effectively, and demonstrate good analytical and problem-solving skills will be key to excelling in this role.,

You are a highly skilled and motivated AI & Software Integration Engineer who will be responsible for integrating artificial intelligence models into both existing and new software platforms. Your role involves bridging the gap between cutting-edge machine learning research and practical application, ensuring scalable, reliable, and secure implementation of AI systems. You will design, develop, and implement integration frameworks for AI models within various software environments. Collaboration with data scientists, backend developers, and product teams is key to ensuring seamless model deployment. Additionally, you will be building APIs and microservices to support AI functionality within applications, optimizing system performance, and ensuring that models are scalable, robust, and efficient. Monitoring and maintaining integrated systems in production environments is also part of your responsibilities. It is important to stay current with industry trends, tools, and best practices in AI and software engineering. This is a full-time position with benefits including health insurance and Provident Fund. The work shift will be either a night shift or a US shift, with workdays scheduled from Monday to Friday and availability required on weekends. The work location is in person. ,

As an experienced and dynamic AI Solutions Architect, you will be leading and managing AI-driven projects, focusing specifically on large language models (LLMs). Your role will require a combination of technical expertise in AI/LLM technologies and strong project management skills to ensure the successful delivery of high-impact solutions to clients and stakeholders. Your responsibilities will include leading AI/LLM-based projects from concept to deployment, collaborating with product teams to define project scope, creating and maintaining detailed project plans, driving project strategies, overseeing the design, development, and deployment of AI/LLM solutions, providing technical leadership when necessary, and ensuring alignment with industry best practices and business goals. You will also be expected to stay updated with advancements in AI and LLM technologies, act as a key point of contact between clients, product, and engineering teams, facilitate communication between technical and non-technical stakeholders, manage client expectations, identify and mitigate risks, resolve roadblocks, ensure quality control, monitor project progress, and drive continuous improvement in AI/LLM project management processes. To qualify for this role, you should have a Bachelor's or Master's degree in computer science, engineering, or a related field, along with at least 5 years of experience in project management focusing on AI or LLM technologies. You should have demonstrated experience in managing cross-functional teams, delivering complex AI/ML or LLM projects on time and within budget, and a strong understanding of AI/ML algorithms, LLMs, and NLP techniques. Additionally, proficiency in AI/LLM development tools, frameworks, and platforms, familiarity with cloud computing platforms and programming languages commonly used in AI/ML development, strong organizational and problem-solving skills, exceptional communication and stakeholder management skills, and relevant certifications or experience in scaling AI/LLM solutions in real-world applications would be preferred qualifications. Overall, this role requires a blend of technical expertise, project management skills, stakeholder management, and a commitment to delivering high-impact AI solutions to clients and stakeholders.,

As an AI intern at BoticX Labs, you will have the opportunity to be at the forefront of cutting-edge technology. You will collaborate with a team of experts in AI, web development, frontend, and backend development. Your day-to-day responsibilities will include working closely with the AI team to develop innovative solutions for various projects. You will assist in the design and implementation of AI algorithms and models, as well as support the frontend development team in creating user-friendly interfaces for AI applications. Additionally, you will contribute to backend development tasks such as database management and server-side scripting. To excel in this role, you will need to conduct research and stay updated with the latest advancements in AI technology. Your active participation in team meetings and brainstorming sessions will be essential to generate new ideas and strategies. Furthermore, you may be required to take on additional tasks and projects as needed to support the overall goals of the company. This internship provides a unique opportunity to gain hands-on experience in the exciting field of AI within a dynamic and collaborative environment. Join us at BoticX Labs and be a part of shaping the future of technology. About Company: Boticx Labs LLP is an IT services and consulting company specializing in AI-based solutions. Operating in India and internationally in countries like Nepal and Mauritius, we focus on providing Intelligent Automation and RPA-based solutions.,

About Us Skit.ai is pioneering the new frontier of customer engagement. As a leading Conversational AI company, we are fundamentally transforming the collections industry with our suite of Generative AI-powered voice and message assistants. Our flagship Collection Orchestration Platformthe first of its kindharmonizes communications across all channels, while our proprietary Large Collection Model (LCM) serves as the strategic brain, optimizing every interaction for unparalleled efficiency and customer experience. Our trophy shelf, which includes the BIG AI Excellence Award 2024 and a Stevie Gold Winner for Most Innovative Company, reflects our commitment to innovation. But our true north is the tangible impact we deliver. We are a global team of pioneers headquartered in New York City, and we are looking for a visionary product leader to take ownership of our core intelligence engine from our Bangalore innovation hub. Job Title : Product Manager, Agentic AI Location : Bangalore, India (100% WFO) Shift Hours: 12:00 pm - 9:00 pm IST Your Responsibilities Platform Vision & Strategy: Define and evangelize the product vision for the Agentic AI Platform. Develop a bold, quarterly roadmap that advances our core AI capabilities, focusing on agent autonomy, reasoning, and omni-channel orchestration. Core Intelligence Engine: Own the product lifecycle for the AI models and systems that constitute our platform&aposs "brain." This includes intent detection, dialogue management, strategic decisioning, and our proprietary Large Collection Model. Scalable AI Services: Define requirements for platform services and APIs that enable internal teams to build, deploy, and iterate on new conversational applications with speed and consistency. Technical Depth & Execution: Collaborate deeply with our world-class AI research, data science, and engineering teams. Translate complex business needs into detailed technical requirements, user stories, and acceptance criteria for the platform. State-of-the-Art Integration: Act as the vanguard for new technology. Continuously research and assess the latest advancements in LLMs, reinforcement learning, and agentic AI frameworks, driving the integration of SOTA technology into the platform. Data-Driven Decisioning: Define the key performance indicators (KPIs) for our AI platform&aposs effectivenessmeasuring everything from model accuracy and inference speed to strategic outcomes. Use this data to drive the platform&aposs evolution. The Ideal Candidate Have 5+ years of product management experience, with a proven track record of shipping complex, technical, or platform-level products. Hold a bachelor&aposs degree from a Tier 1 institution in a quantitative or technical field, such as Computer Science, Engineering, Information Systems, or Mathematics. Thrive on the 0-to-1-to-10 journey; you have a passion for building innovative products from scratch and the strategic grit to scale them into robust, market-defining platforms. Naturally think about both the user-facing experience (UX) and the underlying model quality in an integrated fashion, understanding that one cannot be great without the other. Showcase exceptional leadership and a bias for action, with a history of aligning cross-functional teams around a product vision and driving execution on complex roadmaps. Why Skit.ai Work on the core AI platform that powers our entire product suite, making a foundational impact on the business. Join a rapidly scaling company on a trajectory to define an entire industry, offering unparalleled opportunities for career acceleration. Collaborate with some of the brightest minds in AI and product development in a dynamic, high-performance culture. Solve complex, fascinating problems at the cutting edge of artificial intelligence and distributed systems. Show more Show less

Outlier helps the world's most innovative companies improve their AI models by providing human feedback. If you are an experienced Mathematics expert looking to contribute your expertise to train AI models, this freelance opportunity with Outlier might be a perfect fit for you. In this role, you will be responsible for assessing the factuality and relevance of domain-specific text produced by AI models, crafting and answering questions related to Mathematics, and evaluating and ranking domain-specific responses generated by AI models. The ideal candidate should possess a bachelor's or higher degree in Mathematics or a related subject, have experience working as a Mathematics professional, and demonstrate the ability to write clearly about concepts related to Mathematics in fluent English. This freelance opportunity offers flexibility as it is remote, allowing you to work at your convenience. Please note that this is a 1099 contract opportunity on the Outlier.ai platform. Outlier does not provide internships, sponsorship, or employment in this role. Candidates must be authorized to work in their country of residence. Outlier values the privacy of personal data and collects, retains, and uses personal data for professional business purposes only. Any information collected during the application process will be treated in accordance with the Outlier Privacy Policy and internal policies designed to protect personal data. If you believe you have the expertise and experience required to contribute to the training of generative artificial intelligence models in the field of Mathematics, we encourage you to apply for this exciting opportunity.,

You should have a Bachelor's degree or equivalent practical experience along with at least 8 years of experience in software development, particularly with data structures and algorithms. Additionally, you should possess 5 years of experience in testing and launching software products, and 3 years of experience in software design and architecture. It would be advantageous if you have experience in building products based on AI models and if you possess a good understanding of Agentic experience/AIML, Large Language Model, and excellent coding skills. As a software engineer at Google, you will be involved in developing cutting-edge technologies that impact how billions of users connect, explore, and engage with information and each other. The products you work on will handle information at a massive scale and go beyond web search. We are seeking engineers who can bring innovative ideas from various fields such as information retrieval, distributed computing, system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. In this role, you will work on crucial projects that cater to Google's requirements, with opportunities to transition between teams and projects as you and our dynamic business grow and evolve. We are looking for engineers who are adaptable, demonstrate leadership qualities, and are eager to tackle new challenges across the entire technology stack to drive innovation forward. At Corp Eng, we develop top-notch business solutions that enhance Google's helpfulness for everyone. As Google's IT organization, we offer end-to-end solutions for various teams within Google, ensuring they have the right tools, platforms, and experiences to create more helpful products and services. In essence, we are Google for Googlers. Your responsibilities will include participating in and leading architecture and engineering designs with peers and stakeholders, making technical judgments, building products based on AI models, understanding Agentic experience/AIML and Large Language Model, possessing excellent coding and communication skills, and showing a passion for mentoring junior engineers. You will also be expected to review code, design documents, unblock team members, provide feedback, define technical directions, lead the development of AI-first experiences for Googlers, balance short-term prototypes with long-term strategies, and collaborate across teams and products to identify issues and propose solutions and enhancements.,

Project Overview We are seeking a Senior Agentic AI Engineer to lead the design and development of an enterprise-grade Agentic AI framework. This framework will empower various business units across the organization to build intelligent, autonomous agents capable of handling complex workflows, using tools, interacting with APIs, and making decisions with minimal human intervention.This role requires deep expertise in architecting scalable, modular AI systems using LLMs, tool integration, memory systems, and agent orchestration. This role is ideal for someone who has hands-on experience with agentic AI frameworks like LangGraph, CrewAI and AutoGPT and a deep understanding of enterprise software engineering and system architecture. Experience : 3.5 - 6 years Position : AI Engineer Skills Required : Python, Agentic AI, AI Models, Agentic Framework, Agentic Workflows, Langgraph OR CrewAI, Open source, data science Exposure Role and Responsibilities Architect and build a reusable, secure, and scalable Agentic AI framework that can be adopted by multiple teams across the enterprise. Define standards, patterns, and abstractions for building intelligent agents using LLMs and other foundational models. Leverage and extend frameworks like LangGraph, CrewAI, or Semantic Kernel to enable advanced agentic capabilities such as (Long-horizon task planning, Tool calling (APIs, databases, RPA, internal services), Memory persistence and retrieval (via vector stores or knowledge graphs),Autonomous decision-making and reflection,Multi-agent orchestration and collaboration, Human-in-the-loop workflows,Monitoring and observability,Governance and compliance,Security and access control,Performance optimization and cost management Collaborate with cross-functional teams to ensure the framework aligns with enterprise-grade expectations. Integrate the framework with existing enterprise platforms. Conduct research and stay updated on the latest advancements in Agentic AI, LLMs, and related technologies. Mentor and guide junior engineers in best practices for building agentic systems. Coach and guide engineering teams in adopting and extending the framework. Show more Show less

We&aposre seeking a visionary Enterprise Architect to join our CTO Office and shape cross-portfolio solutions at the intersection of AI, Customer Experience (CX), Cybersecurity, and Digital Skilling technologies. Youll architect scalable, standardized solutions for global clients, govern complex deals, and collaborate with diverse stakeholders to translate business needs into future-ready technical strategies. As a trusted advisor, you will evangelize solution value, articulating how the right technology mix enables our customers to achieve strategic outcomes. At TeKnowledge , your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity. We turn complexity into clarity and potential into progressin a place where people lead and tech empowers. Youll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world. Here, your work drives real change, and your ideas help shape the future of technology. We invest in you with top-tier training, mentorship, and career developmentensuring you stay ahead in an ever-evolving world. Why Youll Enjoy It Here: Be Part of Something Big A growing company where your contributions matter. Make an Immediate Impact Support groundbreaking technologies with real-world results. Work on Cutting-Edge Tech AI, cybersecurity, and next-gen digital solutions. Thrive in an Inclusive Team A culture built on trust, collaboration, and respect. We Care Integrity, empathy, and purpose guide every decision. Were looking for innovators, problem-solvers, and experts ready to drive change and grow with us. We Are TeKnowledge. Where People Lead and Tech Empowers. Responsibilities: Design enterprise-grade architectures integrating structured/unstructured data, analytics, and advanced AI models (GenAI, LLMs, cognitive services). Build scalable data pipelines and lake-centric architectures to power real-time analytics and machine learning. Architect multi-cloud AI/ML platforms using Azure, including deployment of LLMs (Azure OpenAI and open-source models like LLaMA, Mistral, Falcon). Define infrastructure, data, and app requirements to deploy LLMs in customer private data centers. Lead technical reviews for high-value deals, identifying risks and mitigation strategies. Design integrated solutions across AI, CX, Cybersecurity, and Tech Managed Services portfolios. Develop standard design patterns and reusable blueprints for repeatable, low-risk, and scalable solution delivery. Present architectural solutions to C-suite executives, aligning technical outcomes with business value and ROI. Collaborate with sales and pre-sales to scope complex opportunities and develop compelling proposals. Foster innovation across CTO, Sales, and Solution teams. Identify synergy across offerings (e.g., Microsoft Copilot + AI-first CX + Cybersecurity). Support product teams with market feedback and solution evolution. Define architectural best practices ensuring security, compliance, and scalability. Mentor delivery teams on frameworks and emerging tech adoption. Shape and execute the enterprise architecture strategy aligned with business goals. Champion digital transformation and technology innovation. Leverage expertise in Azure and Microsoft D365 to support solution architecture. Drive responsible AI adoption and ensure awareness of privacy, bias, and security in deployments. Ensure all solutions meet IT security and compliance standards. Collaborate with Legal and Procurement for contract negotiations and vendor performance. Lead, mentor, and build a high-performing, collaborative CTO team with a customer-first mindset. Qualifications: Education: Bachelor&aposs or Masters degree in Computer Science, Information Technology, Cybersecurity, or related field. Experience: 10+ years in enterprise architecture, with 5+ years in customer-facing roles. Certifications: Preferred TOGAF, Zachman, ITIL, CISSP, Azure certifications or equivalents. Proven experience architecting and delivering AI/ML platforms, data lakes, and intelligent applications at enterprise scale. Demonstrable experience deploying local LLMs in production environments, including integration with LangChain, databases, and private storage. Strong knowledge of enterprise architecture frameworks and multi-cloud platforms (with a focus on Azure). Ability to design and deliver end-to-end solutions including networks (voice and data), microservices, business applications, resilience, disaster recovery, and security. Understanding of On-Prem / Private Cloud workload migration to public or hybrid cloud environments. Commercial acumen with the ability to articulate the business value of cloud-based solutions to executive stakeholders. Strong problem-solving and critical thinking skills with a proactive, outcome-oriented mindset. Experience with cloud computing, data center technologies, virtualization, and enterprise-grade security policies/processes. Proficiency in AI/ML, cybersecurity frameworks, customer experience platforms, and Microsoft Cloud (Azure, M365, D365). Exceptional communication and storytelling abilities for both technical and non-technical audiences. Experience engaging with large enterprise clients across industries such as government, healthcare, banking & finance, travel, and manufacturing. Empowering Leadership and Innovation At TeKnowledge, we are committed to fostering a culture of inspiring leadership and innovation. Our core leadership competencies are integral to our success: Inspire: We prioritize creating an inclusive environment, leading with purpose, and acting with integrity and respect. Build: Our leaders own business growth, drive innovation, and continuously strive for excellence. Deliver: We focus on setting clear priorities, embracing agility and change, and fostering collaboration for growth. We are looking for talented individuals who embody these competencies, are ready to grow, and are eager to contribute to our dynamic team. If you are passionate about making a meaningful impact and excel in a collaborative, forward-thinking environment, we invite you to apply and help us shape the future. Show more Show less

As an IoT & AI Intern at Bharat Ecolabs, you will have the opportunity to support the development and integration of sensor networks, data pipelines, and AI models for our smart, modular Packaged Sewage Treatment Plants (STPs). Working out of the NASSCOM Center of Excellence for IoT & AI in Gurugram, you will collaborate closely with our core engineering team. Your key responsibilities will include assisting in the design and development of IoT-enabled sensor and control systems for STPs, building and testing data acquisition modules using sensors for various parameters, developing cloud-based or edge data pipelines for real-time monitoring, and supporting the development of AI/ML models for fault detection and efficiency optimization. Additionally, you will contribute to the creation of dashboards or mobile interfaces for STP data visualization and alerts, as well as conduct testing and debugging of IoT prototypes on pilot installations. The ideal candidate for this role would be a final year student or recent graduate in Electronics, Computer Science, AI, Mechatronics, or related fields with hands-on experience in microcontrollers like Arduino, ESP32, or Raspberry Pi. You should also have familiarity with sensor integration, basic electronics, and communication protocols such as MQTT, Modbus, or LoRa. Proficiency in Python, basic ML libraries like scikit-learn or TensorFlow, and cloud platforms like AWS, Azure, or GCP is desired. Strong problem-solving skills and a passion for applying technology in real-world clean tech solutions are essential for success in this role. Joining us as an IoT & AI Intern at Bharat Ecolabs will provide you with real-world exposure to applied IoT and AI in environmental engineering, mentorship from a passionate founding team, and access to the NASSCOM CoE ecosystem. Upon successful completion of the internship, you will receive a formal Experience Certificate, and there is a possibility to convert the internship into a full-time role based on performance and mutual interest.,

THE ROLE: AMD is looking for a GPU kernel development engineer who is talented in developing high performance kernels for state-of-the-art and upcoming GPU hardware . You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. THE PERSON: Experienced in GPU kernel development and optimization for AI/HPC applications. Strong technical and analytical skills in GPU computing, hardware architecture, and deep understanding of HIP/CUDA/OpenCL/Triton development. Ability to work as part of a team, deliver to project scope, and communicate to a technical/non-technical audience. KEY RESPONSIBILITIES: Develop high performance GPU kernels for key AI operators on AMD GPUs Optimize GPU code using structured and disciplined methodology - profiling to identify gaps, roofline-analysis on hardware, identify key set of optimizations, establish uplift and line-of-sight, prototype and develop optimizations Support mission-critical workloads in NLP/LLM, Recommendation, Vision and Audio Collaborate and interact with system level performance architects, GPU hardware specialists, power/clock tuning teams, performance validation teams, and performance marketing teams to analyze and optimize training and inference for AI Work with open-source framework maintainers to understand their requirements and have your code changes integrated upstream Debug, maintain and optimize GPU kernels, understand and drive AI operator performance (GEMM, Attention, Distributed scale-up/out communication, etc.) Apply your knowledge of software engineering best practices PREFERRED EXPERIENCE: Knowledge of GPU computing (HIP, CUDA, OpenCL, Triton) Knowledge and experience in optimizing GPU kernels Expertise in using profiling, debugging tools Core understanding of GPU hardware Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design. ACADEMIC CREDENTIALS: Masters or PhD or equivalent experience in Computer Science, Computer Engineering, or related field

The Senior Data Scientist role in the S&C Global Network - AI - Hi Tech focuses on driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As a skilled and experienced professional, you will provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Your responsibilities will include developing and implementing AI models and GenAI applications in industries such as semiconductors, enterprise technology, consumer technology, and medical technology. You will collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. Additionally, you will stay updated on emerging technologies and industry trends to contribute to continuous improvement initiatives within the organization. As a Senior Data Scientist, you will lead the design and delivery of client projects, focusing on areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. Your role will involve creating industry-leading points-of-view in client domains to position the organization as a value partner. You will design and implement GenAI based solutions through contextual prompt engineering and prompt tuning, supporting solution architects on the design of GenAI-powered solutions/assets. Utilizing your expertise in PLM/ERP/CRM/Contact Center systems, you will integrate data sources and ensure seamless operation of AI solutions. Proficiency in Python programming, with experience in NLP and Computer Vision techniques, is essential for developing machine learning models. You will architect functional solutions, provide technical guidance to enhance the performance and scalability of AI systems, and leverage cloud platforms such as Azure/GCP and AWS. The ideal candidate for this role should possess relevant experience in the required domain, strong analytical and problem-solving skills, and the ability to work in a fast-paced, dynamic environment. A proven track record of developing AI models in various areas, proficiency in Python programming with NLP and Computer Vision experience, exposure to PLM/ERP/CRM systems, and familiarity with cloud platforms are key qualifications for this position. Knowledge of LLM exposure and experience with tools like ChatGPT, Llama 2, Claude 2, Hugging Face, etc., for prompt engineering and tuning will be advantageous. This role offers the opportunity to work on innovative projects and provides avenues for career growth and leadership exposure within Accenture. If you have a minimum of 5 to 8 years of experience and at least 15 years of education, we invite you to join our Hi-Tech practice in Bengaluru and contribute to driving impactful solutions in the AI domain.,

As a Senior AI Architect at Dailoqa, you will play a pivotal role in shaping, designing, and delivering agentic AI solutions that drive real-world business value. You will collaborate with business and technology stakeholders, lead cross-functional teams, and ensure our AI architectures are robust, scalable, and aligned with our vision of combined intelligence and financial inclusion. Agentic AI Solution Design: Collaborate with stakeholders to identify high-impact agentic AI use cases, define success metrics, and determine data requirements tailored to Financial Services clients. Architect and oversee the implementation of end-to-end agentic AI solutions aligned with Dailoqa's strategic objectives and client needs. Leadership & Cross-Functional Collaboration: Lead and mentor cross-functional teams in the development and deployment of scalable agentic AI applications and infrastructures. Work closely with business stakeholders to translate complex requirements into actionable AI architecture and technical roadmaps. Technology Evaluation & Governance: Evaluate, recommend, and integrate advanced AI/ML platforms, frameworks, and technologies that enable agentic AI capabilities. Develop and enforce AI governance frameworks, best practices, and ethical standards, ensuring compliance with industry regulations and responsible AI principles. Performance Optimization & Continuous Improvement: Optimize AI models for performance, scalability, and efficiency, leveraging cloud-native and distributed computing resources. Stay ahead of emerging trends in agentic AI, machine learning, and data science, applying new insights to enhance solution quality and business impact. Technical Leadership & Talent Development: Provide technical leadership, mentorship, and code review for junior and peer team members. Participate in the hiring, onboarding, and development of AI talent, fostering a culture of innovation and excellence. Lead sprint planning, technical assessments, and ensure high standards in code quality and solution delivery. Required Qualifications: - 15+ years of Total experience. 8+ years in machine learning, and data science and more recent experience (4-5 yrs) in gen AI models applying AI to practical, comprehensive technology solutions and AI Consultancy. - Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns. - Experience in implementing GenAI, NLP, computer vision, or other AI frameworks/technologies. Tools & Technology: - LLMs and implementing RAG or different prompt strategies. - Azure OpenAI, Off the shelf Platform native AI tools and Models. - Knowledge of ML pipeline orchestration tools. - Experienced in python; ideally working knowledge of various supporting packages. - Experience in REST API development, NoSQL database design, and RDBMS design and optimizations. - Strong experience in Data engineering and aligned Hyperscale Platforms e.g. Databricks, Synapse, Fivetran etc. Education and Others Skills: - Master's or Ph.D. in Computer Science, Data Science, or related field. - Extensive experience with modern AI frameworks, cloud platforms, and big data technologies. - Strong background in designing and implementing AI solutions for enterprise-level applications. - Proven ability to lead and mentor technical teams. - Excellent communication skills with the ability to explain complex AI concepts to both technical and non-technical audiences. - Deep understanding of AI ethics and responsible AI practices. Working at Dailoqa will provide you with an opportunity to be part of a dynamic and innovative team that values collaboration, innovation, and continuous learning. If you are proactive, adaptable, and passionate about leveraging AI to solve real-world challenges in the financial services industry, then this role might be the perfect fit for you.,

The Artificial Intelligence Lead is responsible for overseeing the development and implementation of AI strategies and projects. This role requires a combination of technical expertise, leadership skills, and strategic thinking. You will work closely with cross-functional teams to integrate AI solutions into products and services. Key Responsibilities: Lead the AI team in developing and deploying AI models and algorithms. Define the AI strategy in alignment with the company's goals and objectives. Oversee the end-to-end AI project life cycle, from conceptualization to deployment. Collaborate with stakeholders to identify opportunities for AI-driven solutions. Ensure the ethical and responsible use of AI technologies. Stay updated with the latest advancements in AI and incorporate relevant innovations. Provide mentorship and guidance to team members. Manage the AI team's resources, budget, and timelines. Communicate AI project progress and insights to executive leadership. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Proven experience (5+ years) in AI, machine learning, and data science. Team leading experience. Strong understanding of machine learning algorithms, neural networks, and natural language processing. Experience with AI development frameworks and tools (e.g., TensorFlow, PyTorch, Scikit learn). Proficiency in programming languages such as Python, R, or Java. Experience in managing and leading technical teams. Excellent problem-solving skills and ability to work on complex projects. Strong communication and interpersonal skills. Preferred Skills: Experience with big data technologies (e.g., Hadoop, Spark). Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure). Knowledge of AI ethics and regulatory considerations. Prompt with ML, Prompt Engineering, and AI Models. Experience in deploying AI solutions in production environments. Publications or contributions to AI research. Understanding of ISO Standards: Knowledge of relevant ISO standards (e.g., ISO 9001, 27001, and 27701) and their application in the workplace. Location: Mohali/ Noida Equal Employment Opportunity.,

As an AI/ML professional with 4-8 years of experience, your role will involve developing and implementing AI models and pipelines utilizing LLMs to meet business requirements. You will be responsible for designing and deploying machine learning solutions on Azure, ensuring high performance, scalability, and reliability. Using Python for data preprocessing, model development, and experimentation will be a key part of your responsibilities. Moreover, you will play a crucial role in building and integrating REST APIs using Flask to facilitate seamless model access for various applications. Your expertise in containerizing models and applications with Docker will be vital in streamlining deployment processes and enhancing portability. Collaboration with cross-functional teams to comprehend project objectives and develop customized AI solutions will also be a significant aspect of your job. To excel in this role, you should stay abreast of the latest advancements in LLMs and cloud technologies. Optimizing models for accuracy, performance, and inference speed based on real-time data will be essential to drive continuous improvement and innovation. Qualifications for this position include 4-8 years of experience in data science, specifically working with LLMs models in domains such as CPG, Retail, and Supply Chain. Hands-on experience in deploying AI/ML models on Azure and utilizing cloud-based tools is essential. Proficiency in Python for data manipulation, model building, and evaluation is required. Additionally, experience with Dockerization for deploying and managing AI applications, knowledge of Flask for building lightweight APIs, and strong problem-solving skills to translate business challenges into AI solutions are necessary. Good communication skills are vital for effective collaboration with stakeholders and presenting technical results convincingly. A working knowledge of the finance domain is a must for this role.,

Are you a tech-savvy individual with a passion for Artificial Intelligence and Machine Learning Dalnex is seeking a dynamic AI intern to join our innovative team! As an AI intern at Dalnex, you will have the opportunity to work on cutting-edge projects and gain hands-on experience in the field of AI. Your day-to-day responsibilities will include assisting in developing AI models and algorithms to improve business processes, collaborating with team members to analyze data and create predictive models, conducting research on the latest AI trends and technologies, implementing and testing AI solutions in real-world scenarios, participating in brainstorming sessions to ideate new AI-driven initiatives, assisting in optimizing existing AI systems for better performance, and presenting findings and recommendations to stakeholders. If you are a proactive and ambitious individual looking to kickstart your career in AI, apply now to join Dalnex as an AI intern! About Company: At Dalnex, we strive to improve efficiency & optimize lifestyle by driving the world's transition to smart institutions using IoT solutions and providing optimal functionality. LazyNest is a brand under Dalnex that delivers innovative solutions to make living, work, commercial, and community spaces smarter.,

Job Timing : Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break ) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break ) Job Description: As a Data Scientist specializing in AI and Machine Learning, you will play a key role in developing and deploying state-of-the-art machine learning models. You will work closely with cross-functional teams to create solutions leveraging AI technologies, including OpenAI models, Google Gemini, Copilot, and other cutting-edge AI tools. Key Responsibilities: Design, develop, and implement advanced AI and machine learning models focusing on generative AI and NLP technologies. Work with large datasets, applying statistical and machine learning techniques to extract insights and develop predictive models. Collaborate with engineering teams to integrate models into production systems. Apply best practices for model training, tuning, evaluation, and optimization. Develop and maintain pipelines for data ingestion, feature engineering, and model deployment. Leverage tools like OpenAI's GPT models, Google Gemini, Microsoft Copilot, and other available platforms for AI-driven solutions. Build and experiment with large language models, recommendation systems, computer vision models, and reinforcement learning systems. Continuously stay up-to-date with the latest AI/ML technologies and research trends. Qualifications: Required: Proven experience as a Data Scientist, Machine Learning Engineer, or similar role. Strong expertise in building and deploying machine learning models across various use cases. In-depth experience with AI frameworks and tools such as OpenAI (e.g., GPT models), Google Gemini, Microsoft Copilot, and others. Proficiency in machine learning techniques, including supervised/unsupervised learning, reinforcement learning, and deep learning. Expertise in model training, fine-tuning, and hyperparameter optimization. Strong programming skills in Python, R, or similar languages. Solid understanding of model evaluation metrics and performance tuning. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and ML model deployment tools like TensorFlow, PyTorch, and Keras. Experience with MLOps tools such as MLflow, Kubeflow, and DataRobot. Strong experience with data wrangling, feature engineering, and preprocessing techniques. Excellent problem-solving skills and the ability to communicate complex ideas to non-technical stakeholders. Preferred: PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience with large-scale data processing frameworks (Hadoop, Spark, Databricks). Expertise in Natural Language Processing (NLP) techniques and frameworks like Hugging Face, BERT, T5, etc. Familiarity with deploying AI solutions on cloud services, including AWS SageMaker, Azure ML, or Google AI Platform. Experience with distributed machine learning techniques, multi-GPU setups, and optimizing large-scale models. Knowledge of reinforcement learning (RL) algorithms and practical application experience. Familiarity with AI interpretability tools such as SHAP, LIME, and Fairness Indicators. Proficiency in using collaboration tools such as Jupyter Notebooks, Git, and Docker for version control and deployment. Additional Tools & Technologies (Preferred Experience): Natural Language Processing (NLP): OpenAI GPT, BERT, T5, spaCy, NLTK, Hugging Face Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn Big Data Processing: Hadoop, Spark, Databricks, Dask Cloud Platforms: AWS SageMaker, Google AI Platform, Microsoft Azure ML, IBM Watson Automation & Deployment: Docker, Kubernetes, Terraform, Jenkins, CircleCI, GitLab CI/CD Visualization & Analysis: Tableau, Power BI, Plotly, Matplotlib, Seaborn, NumPy, Pandas Database : RDBMS, NoSQL Version Control: Git, GitHub, GitLab Why Join Us: Innovative Projects: Work on groundbreaking AI solutions and cutting-edge technology. Collaborative Team: Join a passionate, highly skilled, and collaborative team that values creativity and new ideas. Growth Opportunities: Develop your career in an expanding AI-focused company with continuous learning opportunities. Competitive Compensation: We offer a competitive salary and benefits package.

Job Description: AI / ML Engineer Project Role: Title:AI / ML Engineer 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: Machine Learning Good to Have Skills: N/A Experience: Minimum 3 years of experience required Educational Qualification: 15 years full-time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scale up/scale down based on expected seniority. Roles & Responsibilities: Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data. Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Conduct research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. Optimize existing generative AI models for improved performance, scalability, and efficiency. Ensure data quality and accuracy. Lead the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. Implement cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. Determine the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers. Experience working with cloud-based platforms (example: AWS, Azure, or related). Strong problem-solving and analytical skills. Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI. Prior statistical modeling experience. Demonstrable experience with deep learning algorithms and neural networks. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. Must have strong knowledge of data structures, algorithms, and software engineering principles. Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. Need to have knowledge of software development methodologies, such as Agile or Scrum. Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.

As a member of the Capco team, you will have the opportunity to make a significant impact by leveraging your innovative thinking, delivery excellence, and thought leadership to assist our clients in transforming their businesses. With a global presence in 32 cities and a track record of supporting over 100 clients in the banking, financial, and energy sectors, we are renowned for our deep expertise in transformation execution and delivery. At Capco, we foster a culture that values diversity, inclusivity, and creativity, allowing our employees to be themselves at work. With no forced hierarchy, every individual has the chance to grow alongside the company and take charge of their own career advancement. In this role based in Bangalore or Pune, you will work in a hybrid mode with a shift timing from 12.30 PM to 9.30 PM IST. We are looking for a professional with at least 6 years of experience who can fulfill the following key job responsibilities: - Train AI models (e.g., Google Doc AI) without the need for coding experience - Have exposure to the document checking process - Review logs to identify transactions and root causes that impede Straight-Through Processing (STP) - Translate data into actionable insights such as Enhancement Change Requests for the tech team, Client exception reports for educating clients through Relationship Managers, and procedural changes - Conduct first-level testing for proposed requirements - Create process maps and user stories - Possess exceptional presentation skills, especially in data visualization and PowerPoint - Experience with Tableau and Looker Studio would be advantageous, but candidates familiar with other tools can easily adapt Moreover, your role will involve tasks such as STP Failure Analysis, Cross-Functional Collaboration with Operations and Technology teams, Process Mapping & Efficiency Studies, STP Metrics & Benchmarking, User Acceptance Testing (UAT), Stakeholder Communication, Operational Interlocks, Data Quality & Pre-Validation, and translating raw data into actionable insights for Clients, Tech, and Ops. If you are looking to join a dynamic and inclusive team where you can contribute to impactful projects and drive continuous improvement, Capco is the place for you. Apply now and be part of our journey to drive positive change in the financial and energy services sectors.,

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. In this role, you will play a key role in seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. You will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. Leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives. Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources. Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication. Build, train, and fine-tune generative AI models for various applications within multi-agent systems. Develop robust evaluation frameworks to measure and improve multi-agent system performance. We recognize the significance of flexible work arrangements to provide support. Be it remote work or flexible work hours, you will get an environment to maintain a healthy work-life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

You will be responsible for building and maintaining full-stack web applications using technologies such as React.js, Next.js, Node.js, TypeScript, and Python. Your role will involve integrating AI models like OpenAI and Claude, and working on AI chat interfaces. You will utilize prompt engineering techniques to enhance AI responses and user experiences, and leverage AI-native tools like Cursor, Replit, Copilot, and Tannine to write and review clean, maintainable code. Additionally, you will collaborate with cross-functional teams, participate in sprint planning, and optimize performance and scalability using best practices and modern DevOps tools. Your focus will be on shipping features quickly using platforms like Vercel, Supabase, Railway, and n8n. You should have 5-6 years of hands-on experience in full-stack development, with strong proficiency in React.js, Next.js for frontend, and Node.js, Express for backend development. Proficiency in working with PostgreSQL databases and hosted solutions like Supabase is essential. Experience in integrating and working with AI/LLM APIs such as OpenAI (ChatGPT) and Claude, along with familiarity with frameworks like LangChain, AutoGen, or Manus is required. Comfort with modern development and deployment tools like Vercel, Railway, n8n, GitHub, and AI-powered IDEs such as Cursor, Replit, GitHub Copilot, or Tabnine is a plus. Strong proficiency in JavaScript, React, Next.js, Node.js, and TypeScript is also necessary, along with practical knowledge of prompt engineering and vector search concepts. As part of the interview process, you can expect application review, HR screening, technical assessment, final interview, and offer & onboarding stages. Avya Technology is committed to being an equal opportunity employer, making employment decisions based on merit. The company offers a hybrid work environment that allows for remote or office work, flexible timings to accommodate personal time, training opportunities, paid certifications, rewards and recognition programs, and team-building activities to foster a collaborative and inclusive work culture. If you possess leadership qualities, excellent problem-solving skills, and strong communication abilities, and have a passion for working with cutting-edge technologies in a dynamic and collaborative environment, this role at Avya Technology could be the next step in your career growth.,

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.,

The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients" expectations and add value to the business. In this role, you will manage the product/solution development using desired AI techniques. You will lead the development and implementation of custom solutions through the thoughtful use of modern AI technology. It will be your responsibility to review and evaluate use cases to determine if a product can be developed to add business value. Furthermore, you will create the overall product development strategy and integrate it with larger interfaces. Your tasks will include creating AI models and frameworks to cater to business problems, drafting the desired user interface, and analyzing the technology environment and client requirements to define product solutions using AI frameworks/architecture. You will also be responsible for implementing necessary security features and staying updated on the latest AI trends that can be applied in product development. As part of your role, you will identify problem areas, perform root cause analysis, and provide relevant solutions. You will track industry and application trends to plan current and future AI needs. Additionally, you will create and delegate work plans to the programming team for product development and interact with the Holmes advisory board for knowledge sharing and best practices. Team management will be a crucial aspect of this role. You will need to forecast talent requirements, hire the right resources, ensure onboarding and training, manage team attrition, and drive diversity in leadership positions. Performance management, employee satisfaction, and engagement initiatives for the team will also fall under your responsibilities. To measure performance, parameters such as continuous technical project management & delivery, client centricity, capability building & team management will be evaluated based on specific measures including adoption of new technologies, client satisfaction, team attrition percentage, and more. Join us at Wipro to reinvent your world, be part of a modern organization, and realize your ambitions in a business powered by purpose. We welcome applications from individuals with disabilities.,

The role involves designing and developing scalable cloud-based Generative AI solutions using state-of-the-art models. You will collaborate with cross-functional teams to gather business requirements and translate them into technical solutions. Additionally, you will be responsible for creating architectural blueprints and technical documentation. In terms of cloud infrastructure, you will architect secure and scalable environments to support the deployment and operation of AI models, ensuring high availability, data integrity, and compliance with industry standards. Optimization of cloud resources for performance, cost-efficiency, and scalability will also be part of your responsibilities. To enhance security measures, you will implement robust security protocols to safeguard data and AI models from unauthorized access and cyber threats. Compliance with industry standards, regulations, and data privacy laws will be crucial, along with conducting regular security assessments and audits to identify and mitigate potential risks. Collaboration with data scientists, machine learning engineers, and other stakeholders is essential to integrate AI models into production environments. Moreover, you will provide technical leadership and mentorship to junior team members and stay updated on the latest advancements in AI and cloud technologies. Performance monitoring and optimization play a significant role in this position, involving the continuous monitoring of AI models and cloud infrastructure performance. You will identify and address performance bottlenecks and scalability issues while implementing improvement processes to enhance system performance and reliability. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Proven experience as an AI Architect, Cloud Architect, or similar role. - Strong expertise in designing and deploying cloud-based AI solutions on platforms like AWS, Azure, or Google Cloud. - In-depth knowledge of generative AI models, machine learning frameworks, and AI deployment best practices. - Experience in cloud infrastructure, including networking, storage, and security. - Familiarity with industry standards and regulations related to data privacy and security. - Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment. - Strong communication and collaboration skills. Preferred Skills: - Familiarity with big data technologies such as Hadoop and Spark. - Experience in natural language processing (NLP). - Knowledge of big data technologies and data engineering. - Experience with machine learning frameworks like TensorFlow, PyTorch, or similar. - Certification in cloud architecture or AI/ML is a plus.,

As a seasoned professional with 8-10 years of experience, you will be entrusted with leading the development of cutting-edge Gen AI solutions at our office located in Irinjalakuda, Thrissur. Your role will involve designing, implementing, and deploying AI models and systems to address business problems effectively. Collaboration with cross-functional teams is key, as you will work together to identify challenges and develop AI-powered solutions that foster growth and enhance operational efficiency. Your expertise will be instrumental in designing and implementing scalable AI solutions, utilizing cutting-edge technologies such as LangChain, Agentic AI, RAG, and Event-driven architecture using Kafka. In addition to development responsibilities, you will be tasked with maintaining large-scale AI systems to ensure optimal performance, reliability, and security. Leading and mentoring a team of AI developers will be part of your role, guiding them to deliver high-quality outcomes in line with industry standards. Staying abreast of the latest advancements in Gen AI and related technologies is imperative. By leveraging your knowledge, you will drive innovation and continuous improvement within the organization. Technical documentation, including architecture diagrams and design documents, will be within your purview, along with participating in code reviews to uphold coding standards and best practices. Engaging with clients and internal stakeholders, you will play diverse roles like a strategist, value realization expert, project manager, track lead, and program manager. Your involvement will span business transformation initiatives through the enablement of digital or data platforms, covering areas such as Conversational AI, target operating model design, and strategy & roadmap development. Your educational background in Computer Science, Engineering, or a related field will serve as a strong foundation for this role. Additionally, investing in learning new skills, mentoring team members, and providing career guidance will be part of your professional growth journey. This full-time position offers benefits such as leave encashment, work from home options, day and morning shifts, as well as performance and yearly bonuses. If you are ready to immerse yourself in the dynamic world of AI development and drive impactful solutions, we look forward to welcoming you to our team. Contact Details: Mobile Number: +91 8089111607, +91 9846875775 Email: theaitsolutionsllp.com (Note: This job description is based on the information provided and does not include specific company details or job title.),