51 Aiml Frameworks Jobs - Page 2

As an AI/ML Engineer Generative AI Specialist with over 5 years of experience, you will be expected to possess the following must-have skills: You should have a strong background in AI/ML frameworks such as PyTorch, TensorFlow, and proficient in Python programming. Your experience with AWS services, specifically AWS Bedrock and Lambda functions, will be crucial. Hands-on expertise in LangChain components (agents, chains, memories, parsers, document loaders), developing and optimizing GenAI, NLP models, and CrewAI is essential for this role. You should be capable of building and deploying RAG (Retrieval-Augmented Generation) systems, chatbots, and AI applications using OpenAI APIs, Ollama, Llama, and llamaparse. Advanced prompt engineering techniques like Chain of Thought (CoT) prompting should be within your skill set. Additionally, experience with Docker, CI/CD pipelines, YML files, and GitHub repository management is required. A strong understanding of system design principles, focusing on security, scalability, and performance optimization, is a must. Good-to-have skills include experience in responsible AI practices, knowledge of event-driven architecture, and familiarity with cloud deployments and Kubernetes. Experience with large-scale AI model training and fine-tuning would be beneficial. Your key responsibilities will involve designing and implementing AI/ML solutions using cutting-edge technologies to ensure scalability, efficiency, and alignment with business objectives. You will be responsible for developing and optimizing LangChain components, CrewAI, GenAI, and NLP models customized to specific applications. Building and deploying production-ready RAG systems, chatbots, and AI-driven applications utilizing OpenAI APIs, Ollama, Llama, and llamaparse will be part of your role. Leveraging AWS Bedrock and other AWS services to deliver high-performance AI solutions is crucial. You will need to apply prompt engineering techniques like Chain of Thought (CoT) prompting to enhance AI interactions, maintain CI/CD pipelines, manage YML files, and utilize GitHub for version control. Implementing containerization using Docker and deploying AI solutions in cloud environments will also fall under your responsibilities. Ensuring that solutions adhere to best practices in system design, focusing on security, performance, and efficiency considerations is essential. You will also need to incorporate responsible AI practices and ensure compliance with ethical AI guidelines. Collaboration with cross-functional teams to translate AI insights into impactful solutions and effective communication of complex technical concepts to both technical and non-technical stakeholders will be expected from you.,

As a Lead Data Scientist/AI Product Owner at a reputed IT MNC in Gurgaon, your primary responsibility will be AI Model Development & Deployment, focusing on Computer Vision & Deep Learning. You will be leading the design and implementation of computer vision models for various tasks such as object detection, tracking, segmentation, and action recognition. Your expertise will include architectures like YOLO (v4, v5, v8), Vision Transformers, Mask R-CNN, Faster R-CNN, LSTMs, and Spatio-Temporal Models for image and video analysis. Additionally, you will contextualize the model for challenging situations such as poor detection through specific training on different scenarios. Another key aspect of your role will involve Reinforcement Learning & Model Explainability, where you will develop and integrate reinforcement learning models to optimize decision-making in dynamic AI environments. You will work with techniques such as Deep Q-Networks (DQN), Proximal Policy Optimization (PPO), A3C, SAC, and other RL methods. Furthermore, you will lead the development of a Scalable Data Model for AI Model Training Pipelines, overseeing the end-to-end data preparation process, including data gathering, annotation, and quality review before training. You will focus on enhancing the quality and volume of training data to continually improve model performance and have the ability to think through the data model for future enhancements. In terms of technical skills, you are expected to have a proven track record of leading and delivering AI products, hands-on expertise with advanced AI models, experience in managing and mentoring a small team of data scientists, proficiency in AI/ML frameworks like TensorFlow, PyTorch, and Keras, effective collaboration with cross-functional teams, and strong problem-solving skills in image and video processing. Nice-to-have skills include Experimentation, Iterative Improvement and Testing, Collaboration with Engineering and Product Teams, and Team Leadership. To qualify for this role, you should have at least 10 years of hands-on experience in AI with a solid background in object detection, image and video processing, and computer vision.,

You should have a Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field. With over 5 years of experience in AI/ML solution design and development, you must possess proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Strong programming skills in Python, R, or Java are essential for this role. Hands-on experience with cloud platforms like AWS, Azure, and GCP is required. A solid understanding of data engineering concepts and tools such as Spark, Hadoop, and Kafka is expected. Experience with MLOps practices, including CI/CD for AI models, is a plus. Strong problem-solving, communication, and leadership skills are crucial for success in this position. Preferred qualifications include AI/ML certifications like AWS Certified Machine Learning, Google Professional ML Engineer, etc. Experience in natural language processing (NLP) or computer vision would be beneficial. Knowledge of AI governance and ethical AI practices, as well as familiarity with AI model explainability and bias detection, are also desired qualities for this role.,

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you'll also get to visit other locations in India and globe, so you'll need to go where this job takes you. In return, you'll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). You will build intelligent systems that understand natural language queries and automate complex workflows. Additionally, you will integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. You will also prototype and productize tools that leverage code understanding, profiling, and data analysis. Collaboration with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features is a key aspect of this role. Furthermore, you will work on prompt engineering, few-shot learning, and tool use orchestration. Key Responsibilities: - Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). - Build intelligent systems that understand natural language queries and automate complex workflows. - Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. - Prototype and productize tools that leverage code understanding, profiling, and data analysis. - Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. - Work on prompt engineering, few-shot learning, and tool use orchestration. Must-Have: - Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). - 4-8 years of proven experience. - Strong working knowledge of LangChain, RAG pipelines, and vector stores. - Strong understanding and experience in application of Deep Learning models like ANNs and transformers. - Experience in developing AI agents or copilots that interface with tools or external APIs. - Proficiency in Python; familiarity with software design patterns and clean code. - Practical experience in data preprocessing, feature engineering, and model evaluation. - Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. - Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. - Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have: - Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). - Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us - Work on cutting-edge AI R&D projects with real product impact! - Be part of a startup-like team within a global tech company. - Opportunity to lead innovation, publish internally, and drive industry-first solutions. - Competitive compensation, flexibility, and a collaborative culture. We are Siemens - A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! Transform the everyday,

You are a forward-thinking Digital Solutions Analyst with a strong foundation in product development, AI, and data science. Your role involves driving innovative, data-driven digital solutions across the business by bridging the gap between business needs and technical solutions. Leveraging AI and data insights, you guide product strategy, development, and optimization. You will collaborate with cross-functional teams to identify digital opportunities and define solution requirements. Your responsibilities include translating business needs into functional requirements, supporting end-to-end product development lifecycles, and utilizing AI/ML and data science tools for insights and advanced analytics solutions. Additionally, you will analyze business processes for digital transformation, design dashboards for decision-making, and evaluate third-party tools relevant to digital and AI solutions. To qualify for this role, you should have a Bachelor's or Master's degree in computer science, Data Science, Engineering, Business, or a related field, along with 16+ years of experience in digital solutions, product development, or data analytics. You must be proficient in AI/ML frameworks, data analysis tools, and product management methodologies. Preferred qualifications include experience in cloud environments, familiarity with APIs, and certification in relevant areas. Your soft skills should include strong stakeholder engagement and communication abilities, a curious and innovative mindset, and the ability to manage multiple projects effectively while prioritizing tasks. If you have a passion for emerging technologies and a proactive approach to problem-solving, you are the ideal candidate for this role.,

You will be responsible for architecting and designing complex, scalable workflows and solutions that align with business needs and technology goals. Your role will involve developing cloud-native architectures to ensure scalability, performance, and security for enterprise applications. Additionally, you will lead initiatives to enhance data interoperability, enabling efficient data exchange across diverse platforms. Another key aspect of your role will be leading the design and implementation of robust APIs that facilitate effective system integration, scalability, and data flow. You will also be expected to advocate for and implement DevOps best practices, including CI/CD pipelines, infrastructure automation, and operational excellence. It would be advantageous to have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Furthermore, having 10-12 years of experience in software architecture, specifically with expertise in cloud-native architectures and data integration strategies, will be beneficial. Proficiency in at least one major cloud platform (e.g., AWS, Azure, Google Cloud) and multi-cloud strategies is preferred. In this role, you should be well-versed in DevOps tools and practices, such as Docker, Kubernetes, Jenkins, and Terraform, with a focus on automation and infrastructure-as-code. Experience with AI/ML frameworks and the ability to integrate machine learning solutions into enterprise architectures will be an added advantage. Additionally, proven experience with data interoperability frameworks and tools to ensure seamless data flow between different systems is desired.,

Experience: You have 3 to 5 years of experience in data engineering and analytics, and you are ready to experiment, learn, and implement in a new adventure. Your expertise in data engineering and analytics can revolutionize the dynamics of our organization and bring about a paradigm shift. We are eagerly waiting for you to join us, as we believe in selection over rejection. We are your destination: OptiSol offers you a stress-free and balanced lifestyle, a home away from home where your career is nurtured. As a GREAT PLACE TO WORK certified organization for 4 consecutive years, we value our culture, open communication, and accessible leadership. We celebrate diversity, promote work-life balance with flexible policies, and provide an environment where you can thrive both personally and professionally. We are the face of the future of AI and innovation, ready to live and learn together. What we like to see in you: Your core competencies include expertise in Data Engineering, Cloud services, Pre-Sales, and Client Handling. You excel in handling, transforming, and optimizing data pipelines for seamless workflows, with a focus on making data work smarter, not harder. Additionally, you have experience in cloud services such as AWS, Azure, or GCP to develop scalable, efficient, and secure data solutions that drive business growth. You are adept at bridging the gap between technical capabilities and business needs, crafting compelling solutions that add real value to clients. What do we expect: We expect you to have 3 to 5 years of data engineering experience, preferably with presales or client-facing exposure. Proficiency in Python and SQL, along with hands-on experience in Snowflake or Databricks, is required. You should be comfortable working with cloud platforms like AWS, Azure, or GCP to build scalable solutions and have familiarity with AI/ML frameworks. Strong knowledge of data engineering, warehousing, and analytics is essential, along with excellent communication skills and the ability to manage clients and stakeholders effectively. Possessing cloud or data engineering certifications would be a bonus. What You'll Bring to the Table: In this role, you will collaborate with sales and business teams to understand client needs and deliver tailored technical solutions. You will conduct demos and proof of concepts to showcase the impact of services and solutions, craft high-quality technical proposals, and provide expert guidance on data strategies, analytics, and AI solutions to clients. Your responsibilities will also include designing and optimizing data pipelines, staying updated on industry trends, and collaborating with product teams to refine offerings based on client needs and market shifts. Core benefits you'll gain: Working at OptiSol will allow you to stay ahead in the field by engaging with the latest in AI, cloud computing, and data engineering. You will gain hands-on experience in presales, consulting, and stakeholder management, lead workshops, contribute to industry discussions, and build expertise. By collaborating with sales, business, and product teams, you will design impactful solutions, take ownership of projects, and build strong relationships with key stakeholders. Apply now and join us at OptiSol to embark on this exciting journey together!,

As a Software Engineer specializing in AI/ML/LLM/Data Science at Entra Solutions, a FinTech company within the mortgage Industry, you will play a crucial role in designing, developing, and deploying AI-driven solutions using cutting-edge technologies such as Machine Learning, NLP, and Large Language Models (LLMs). Your primary focus will be on building and optimizing retrieval-augmented generation (RAG) systems, LLM fine-tuning, and vector search technologies using Python. You will be responsible for developing scalable AI pipelines that ensure high performance and seamless integration with both cloud and on-premises environments. Additionally, this role will involve implementing MLOps best practices, optimizing AI model performance, and deploying intelligent applications. In this role, you will: - Develop, fine-tune, and deploy AI/ML models and LLM-based applications for real-world use cases. - Build and optimize retrieval-augmented generation (RAG) systems using Vector Databases such as ChromaDB, Pinecone, and FAISS. - Work on LLM fine-tuning, embeddings, and prompt engineering to enhance model performance. - Create end-to-end AI solutions with APIs using frameworks like FastAPI, Flask, or similar technologies. - Establish and maintain scalable data pipelines for training and inferencing AI models. - Deploy and manage models using MLOps best practices on cloud platforms like AWS or Azure. - Optimize AI model performance for low-latency inference and scalability. - Collaborate with cross-functional teams including Product, Engineering, and Data Science to integrate AI capabilities into applications. Qualifications: Must Have: - Proficiency in Python - Strong hands-on experience in AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, and OpenAI APIs. Good to Have: - Experience with LLM fine-tuning, embeddings, and transformers. - Knowledge of NLP, vector search technologies (ChromaDB, Pinecone, FAISS, Milvus). - Experience in building scalable AI models and data pipelines with Spark, Kafka, or Dask. - Familiarity with MLOps tools like Docker, Kubernetes, and CI/CD for AI models. - Hands-on experience in cloud-based AI deployment using platforms like AWS Lambda, SageMaker, GCP Vertex AI, or Azure ML. - Knowledge of prompt engineering, GPT models, or knowledge graphs. What's in it for you - Competitive Salary & Full Benefits Package - PTOs / Medical Insurance - Exposure to cutting-edge AI/LLM projects in an innovative environment - Career Growth Opportunities in AI/ML leadership - Collaborative & AI-driven work culture Entra Solutions is an equal employment opportunity employer, and we welcome applicants from diverse backgrounds. Join us and be a part of our dynamic team driving innovation in the FinTech industry.,

The ideal candidate for this role will be responsible for architecting and designing complex, scalable workflows and solutions that meet both business needs and technology objectives. You will be tasked with developing cloud-native architectures that prioritize scalability, performance, and security for enterprise applications. Additionally, you will lead efforts to enhance data interoperability, facilitating seamless integration of systems and enabling efficient data exchange across various platforms. Furthermore, you will take the lead in designing and implementing robust APIs that support effective system integration, scalability, and data flow. As an advocate for DevOps best practices, you will champion initiatives such as CI/CD pipelines, infrastructure automation, and operational excellence. It would be beneficial for candidates to possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with 10-12 years of experience in software architecture. Expertise in cloud-native architectures and data integration strategies is essential for success in this role. Proficiency in at least one major cloud platform (e.g., AWS, Azure, Google Cloud) and multi-cloud strategies is highly desirable. Candidates should also demonstrate proficiency in DevOps tools and practices, such as Docker, Kubernetes, Jenkins, and Terraform, with a focus on automation and infrastructure-as-code. Experience with AI/ML frameworks and the ability to integrate machine learning solutions into enterprise architectures would be advantageous. Additionally, proven experience with data interoperability frameworks and tools to ensure seamless data flow between different systems is a plus.,

The responsibilities for this role include architecting and designing complex, scalable workflows and solutions that align with business needs and technology goals. You will be developing cloud-native architectures to ensure scalability, performance, and security for enterprise applications. Additionally, leading initiatives to enhance data interoperability and enable efficient data exchange across diverse platforms will be a key part of your role. You will also be responsible for designing and implementing robust APIs that facilitate effective system integration, scalability, and data flow. Advocating for and implementing DevOps best practices such as CI/CD pipelines, infrastructure automation, and operational excellence will also be expected. It would be beneficial to have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with 10-12 years of experience in software architecture. Expertise in cloud-native architectures and data integration strategies is essential. Proficiency in at least one major cloud platform (e.g., AWS, Azure, Google Cloud) and multi-cloud strategies is a plus. Knowledge of DevOps tools and practices (e.g., Docker, Kubernetes, Jenkins, Terraform) with a focus on automation and infrastructure-as-code is preferred. Experience with AI/ML frameworks and integrating machine learning solutions into enterprise architectures is advantageous. Proven experience with data interoperability frameworks and tools to ensure seamless data flow between different systems is also desirable.,

At EY, you'll have the opportunity to shape a career that aligns with your unique strengths and aspirations, supported by a global network, inclusive environment, and cutting-edge technology. Your voice and perspective are valued as we strive to enhance EY's capabilities and create a more inclusive working world. Join the EY Parthenon team as the Artificial Intelligence (AI) and Generative AI (GenAI) Leader. This dynamic team focuses on delivering innovative client solutions across various industries, leveraging digital and AI technologies to drive transformation and growth. As the Executive Director of AI & GenAI at EYP, your role involves spearheading the integration of advanced AI solutions to address complex client challenges. Your responsibilities include collaborating with regional teams to identify AI opportunities, design tailored proposals, and lead client workshops to develop AI strategies aligned with business outcomes. Key responsibilities also include architecting end-to-end AI solutions, driving cross-sector innovation, ensuring ethical AI practices, and contributing to AI trends and thought leadership initiatives. To excel in this role, you should possess technical expertise in AI/GenAI lifecycle, proficiency in Python and AI frameworks, consulting acumen, and strong leadership skills. Qualifications for this position include significant experience in AI/data science projects, familiarity with Azure Cloud Framework, and expertise in statistical techniques and machine learning algorithms. Preferred qualifications include a PhD/MS/MTech/BTech in Computer Science or related field, research experience in AI applications, and strategic thinking abilities. Join us to lead AI innovation for Fortune 500 clients, collaborate with multidisciplinary experts, and accelerate your career in a culture of entrepreneurship and continuous learning. EY Global Delivery Services (GDS) offers a diverse and inclusive environment where you can collaborate with global teams and work on impactful projects across various business disciplines. You'll have access to continuous learning opportunities, transformative leadership resources, and a supportive culture that values individual contributions and fosters growth. EY is committed to building a better working world by creating long-term value for clients, promoting diversity and trust, and addressing complex global challenges through innovative solutions. Join us to be part of a team that asks better questions to find new answers and make a positive impact on the world.,

As an Enterprise Architect & AI Expert, your role will involve defining and maintaining the enterprise architecture framework, standards, and governance. You will align IT strategy with business goals to ensure architectural integrity across systems and platforms. Leading the development of roadmaps for cloud, data, application, and infrastructure architectures will be a key responsibility. It will also be crucial to evaluate and select technologies, platforms, and tools that align with enterprise goals. You will be responsible for designing and implementing AI/ML solutions to solve complex business problems. Leading AI initiatives such as NLP, computer vision, predictive analytics, and generative AI will be part of your duties. Collaborating with data scientists, engineers, and business stakeholders to deploy AI models at scale will be essential. Ensuring ethical AI practices, data governance, and compliance with regulatory standards will also be critical. In terms of leadership and collaboration, you will act as a strategic advisor to senior leadership on technology trends and innovation. Mentoring cross-functional teams, promoting architectural best practices, and facilitating enterprise-wide workshops and architecture review boards will be part of your role. To qualify for this position, you should have a Bachelors or Masters degree in Computer Science, Engineering, or a related field. You should possess 14+ years of experience in enterprise architecture, with at least 3 years in AI/ML domains. Proven experience with cloud platforms such as AWS, Azure, GCP, microservices, and API management is required. Strong knowledge of AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps practices is essential. Familiarity with data architecture, data lakes, and real-time analytics platforms is also expected. Excellent communication, leadership, and stakeholder management skills are necessary for this role. Mandatory skills for this position include experience in designing GenAI and RAG architectures, familiarity with AWS, Vector DB - Milvus (preferred), OpenAI or Claude, LangChain, and LlamaIndex. Thank you for considering this opportunity. Siva,

As an experienced candidate with over 5 years of experience, you should showcase a strong proficiency in C# and .NET Core/Framework. Your hands-on experience with SSIS ETL package design, debugging, and deployment will be crucial for this role. It is essential to have in-depth knowledge of MS SQL and possess expertise in performance tuning techniques. Your proficiency with Azure DevOps, including CI/CD pipelines, YAML, artifacts, and deployment scripts, will play a key role in ensuring efficient project delivery. Exposure to AI/ML frameworks, Azure AI Services, or integration of AI into enterprise applications will be an added advantage. You should have prior experience deploying applications in Windows Server environments. Strong analytical and problem-solving skills are essential for this role, along with excellent communication and teamwork abilities to collaborate effectively with the team. If you meet these requirements and are looking for a challenging opportunity in a dynamic work environment, we encourage you to apply for this position.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. The assignments cover a wide range of countries and industry sectors. We are looking for an Associate Manager - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics, and Python Programming. You will be responsible for developing and delivering industry sectors specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. **Your key responsibilities:** - Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. - Lead the development and implementation of Generative AI applications using open source and closed source Large Language Models (LLMs). - Work with advanced models for natural language processing and creative content generation using contextual information. - Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. - Understand Business and Sectors, identify whitespaces and opportunities for analytics application. - Work on large to mid-size projects, ensure smooth service delivery, and provide expert reviews. - Communicate with cross-functional teams and manage stakeholder relationships. **Skills and attributes for success:** - Able to work creatively and systematically in a time-limited, problem-solving environment. - Loyal, reliable, with high ethical standards. - Flexible, curious, creative, and able to propose innovative ideas. - Good interpersonal skills, team player, and positive in a group dynamic. - Intercultural intelligence, experience of working in multi-cultural teams. - Ability to manage multiple priorities simultaneously and drive projects to completion with minimal supervision. **To qualify for the role, you must have:** - Experience in guiding teams on AI/Data Science projects and communicating results to clients. - Familiarity with implementing solutions in Azure Cloud Framework. - Excellent Presentation Skills. - 8-10 years of relevant work experience in developing and implementing AI, Machine Learning Models. - Experience in statistical techniques, deep learning, machine learning algorithms. - Proficient in Python programming and SDLC principles. - Willingness to mentor team members and travel extensively. - Excellent written and verbal communication skills. **Ideally, you'll also have:** - Ability to think strategically and build rapport within the firm and with clients. If you are a team player with commercial acumen, technical experience, and enthusiasm to learn new things in a fast-moving environment, and interested in being part of a market-prominent, multi-disciplinary team, this opportunity at EY could be the next step in your career growth.,

About the position: We are looking for a Data Architect with 3 to 18 years of experience to take charge of designing and implementing scalable data systems, primarily focusing on Artificial Intelligence (AI), Generative AI (GenAI), and Agentic AI. The ideal candidate should possess in-depth knowledge of modern data architecture, advanced analytics, and intelligent agent frameworks to support the development of autonomous and intelligent systems. Your role will involve collaborating with data scientists, engineers, and business stakeholders to deliver innovative solutions aligned with enterprise objectives. Key Responsibilities: - Design and implement enterprise-grade data architectures. - Lead initiatives related to data modeling, governance, metadata management, data lineage, and master data management. - Develop scalable data solutions to facilitate real-time inference and autonomous agent systems. - Architect and deploy end-to-end pipelines to support AI/ML workloads, including data ingestion, feature engineering, and model lifecycle management. - Work closely with AI research and product teams to operationalize GenAI models and integrate them into business workflows. - Implement and scale retrieval-augmented generation (RAG) and fine-tuning frameworks in production environments, as well as knowledge graphs. - Design data platforms to support multi-agent systems, ensuring seamless orchestration, communication, and memory management among agents. - Architect data flow and backend systems to support agentic workflows such as task decomposition, context switching, and reinforcement feedback loops alongside knowledge graphs. - Utilize frameworks like LangChain, Langgraph, AutoGen, CrewAI, or similar tools to build and manage autonomous and collaborative agents. - Demonstrate expertise in feedback loop design and development for multi-agent or agentic frameworks. Key Skills: - Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field. - Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. - Proven track record of working with Generative AI models, LLMs (e.g., GPT, Claude, LLaMA), and orchestration frameworks (LangChain, LlamaIndex, Langgraph). - Familiarity with multi-agent frameworks (e.g., CrewAI, AutoGen, ReAct, CAMEL) and agentic AI design principles. - Strong understanding of data governance, security, and compliance frameworks (GDPR, HIPAA, etc.). - Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications: - Experience in building production-grade agentic systems with adaptive learning and decision-making capabilities. - Knowledge of knowledge graphs, semantic search, and advanced RAG pipelines. - Certifications in cloud platforms or AI/ML specializations (e.g., AWS Certified Data Analytics, Google ML Engineer). Join Xoriant: Xoriant is a leading provider of digital engineering services, known for its expertise in building and operating complex platforms and products at scale. With a legacy of three decades in software engineering, we blend modern technology skills in Data & AI (GenAI), cloud & security, domain, and process consulting to address intricate technology challenges. Serving over 100 Fortune 500 companies and tech startups, we aim to support their growth journey. As a "right-sized" company, we bring agility through our 5000+ passionate XFactors from over 20 countries, fostering a culture focused on purpose and employee happiness. Join us at Xoriant: - Experience an inclusive workspace where imagination turns into reality every day. - Contribute to a better future through tech & innovation as part of a passionate team. - Make a positive impact in the community by volunteering and building a stronger business and society. - Support your career growth to ensure long-term success by staying curious and driving innovation. - Prioritize well-being with multiple health benefits and maintain work-life balance. - Value your work with meaningful rewards and recognitions. - Celebrate diversity, inclusivity, and togetherness through festivals as one Xoriant Family. - Connect directly with leaders and voice your opinion through Candid Connects. - Bring new ideas to the fore and realize them through engineering in a culture of Ideation. If you believe you have the XFactor, we have a chair dedicated to your name. Apply now to be a part of Xoriant's journey. Visit www.xoriant.com for more information. Important Notice: If you encounter any suspicious job offers or fraudulent communication bearing Xoriant branding, please contact us at careers@xoriant.com immediately. Equal Employment Opportunity Statement: At Xoriant, we are dedicated to offering equal employment opportunities to all individuals, irrespective of race, color, religion, gender, national origin, age, disability, or veteran status. Our inclusive workplace values diversity and ensures fair treatment and respect for all employees, fostering a sense of belonging. We strive to create a supportive environment where everyone has the opportunity to succeed and contribute to our collective success. Qualifications: - Bachelor's or master's degree in Computer Science or a related field. Location: - Primary Location: Pune - Other Locations: Mumbai Job Details: - Role: Data Architect GenAI - Location: Pune/Hyderabad/Mumbai - Experience: 3 to 18 years - Job type: Full-time - Work type: Hybrid - Job Posting: Jul 17, 2025, 4:10:40 AM Primary Skills: AI Secondary Skills: Generative AI,

As a highly energetic and hands-on Chief Technology Officer (CTO) in the field of AI SaaS / HRTech, you will have the opportunity to co-found and lead the technology vision for a next-generation AI SaaS product. Your role will involve investing in the company, collaborating closely with the CEO, and spearheading the development of a high-performance team. This ground-floor opportunity not only allows you to shape the product and company but also comes with significant equity and leadership responsibilities. Your key responsibilities will include architecting, building, and scaling a robust, secure, and innovative AI SaaS platform from scratch. You will make foundational decisions on the technology stack, infrastructure, and product direction. In addition, you will be coding and reviewing in Node.js, React.js, Next.js, Python, and AI/ML frameworks, integrating AI and machine learning features into the product. Managing scalable solutions using MongoDB, AWS, or other cloud platforms to ensure data security, compliance, and high availability will also be part of your role. Leading the integration of advanced AI/ML models and APIs to drive automation and intelligence throughout the platform is another crucial responsibility. You will be expected to hire, mentor, and manage a team of 10+ engineers and product managers, fostering a culture of innovation, ownership, and high performance. Working closely with the CEO on vision, product-market fit, fundraising, and go-to-market strategy is essential for success in this role. Thriving in a fast-paced, high-energy environment and balancing speed and scalability, MVP delivery, and long-term technical excellence are key aspects of this position. Clear communication of technology strategy and progress to investors, partners, and the broader team is necessary. Representing the company at industry events and taking real ownership of the tech roadmap and business outcomes are also part of your responsibilities. The ideal candidate for this role will have proven experience in building and scaling SaaS products, with expertise in Node.js, React.js, Next.js, Python, MongoDB, AWS/cloud, and AI/ML integration. Hands-on experience with machine learning, AI APIs, and deploying intelligent features in production environments is crucial. The willingness to invest, work relentlessly (18+ hours/day), and take ownership in a high-growth, high-uncertainty environment is a must. A strong track record in hiring, leading, and motivating engineering and product teams is essential. The ability to set and maintain high standards, articulate technical vision to both technical and non-technical stakeholders, and an IIT/IIM background are desirable. Being based in Gurugram and able to work onsite with the CEO and core team is a requirement for this role. A deep passion for technology, AI, and building the future of HRTech is highly valued. In return, you will receive significant equity in a high-potential AI SaaS startup, the opportunity to be a true co-founder and shape the product, team, and company. You will have a direct influence on business and technology outcomes and the platform to build and lead a world-class tech team from the ground up. This rare opportunity is for a visionary, hands-on leader who is ready to invest, build, and define the future of HRTech.,

As a seasoned software architect, your primary responsibility will be to architect and design complex, scalable workflows and solutions that are in alignment with the business needs and technology objectives. You will be tasked with developing cloud-native architectures that prioritize scalability, performance, and security for enterprise applications. Additionally, you will lead various initiatives aimed at enhancing data interoperability, ensuring smooth system integration and efficient data exchange across diverse platforms. A crucial aspect of your role will involve leading the design and implementation of robust APIs that facilitate effective system integration, scalability, and seamless data flow. You will be expected to champion and implement DevOps best practices, emphasizing CI/CD pipelines, infrastructure automation, and operational excellence. It would be advantageous to possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with 10-12 years of experience in software architecture. Your expertise should extend to cloud-native architectures and data integration strategies. Proficiency in at least one major cloud platform (such as AWS, Azure, or Google Cloud) and familiarity with multi-cloud strategies are highly desirable. Furthermore, you should be well-versed in DevOps tools and practices, including Docker, Kubernetes, Jenkins, and Terraform, with a particular focus on automation and infrastructure-as-code. Experience with AI/ML frameworks and the ability to integrate machine learning solutions into enterprise architectures will be advantageous. Your track record should demonstrate proficiency in data interoperability frameworks and tools, ensuring the seamless flow of data between different systems.,

You are an experienced OCI AI Architect who will be responsible for leading the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. Your role will involve a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate will possess a combination of deep technical expertise in AI/ML and Gen AI over OCI along with domain knowledge in Finance and Accounting. Your key responsibilities will include designing, architecting, and deploying AI/ML and Gen AI solutions on OCI using native AI services, building agentic AI solutions using frameworks such as LangGraph, CrewAI, and AutoGen, leading the development of machine learning AI/ML pipelines, and providing technical guidance on MLOps, model versioning, deployment automation, and AI governance. You will collaborate with functional SMEs, application teams, and business stakeholders to identify AI opportunities, advocate for OCI-native capabilities, and support customer presentations and solution demos. To excel in this role, you should have 10-15 years of experience in Oracle Cloud and AI, with at least 5 years of proven experience in designing, architecting, and deploying AI/ML & Gen AI solutions over OCI AI stack. Strong Python development experience, knowledge of LLMs such as Cohere and GPT, proficiency in AI/ML/Gen AI frameworks like TensorFlow, PyTorch, Hugging Face, and hands-on experience with OCI services are required. Additionally, skills in AI governance, Agentic AI frameworks, AI architecture principles, and leadership abilities are crucial for success. Qualifications for this position include Oracle Cloud certifications such as OCI Architect Professional, OCI Generative AI Professional, OCI Data Science Professional, as well as a degree in Computer Science or MCA. Any degree or diploma in AI would be preferred. Experience with front-end programming languages, Finance domain solutions, Oracle Cloud deployment, and knowledge of Analytics and Data Science would be advantageous. If you are a highly skilled and experienced OCI AI Architect with a passion for designing cutting-edge AI solutions on Oracle Cloud, we invite you to apply and join our team for this exciting opportunity.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The Data and Analytics team at EY is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. The assignments cover a wide range of countries and industry sectors. We are looking for an Assistant Director - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning, and LLM models for Generative AI, text analytics, and Python Programming. You will be responsible for developing and delivering industry sectors specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your key responsibilities include developing, reviewing, and implementing Solutions applying AI, Machine Learning, Deep Learning, and developing APIs using Python. Having a relevant understanding of Big Data and Visualization would be beneficial. You will lead the development and implementation of Generative AI applications using both open source and closed source Large Language Models (LLMs). You will extensively work with advanced models for natural language processing and creative content generation using contextual information. Furthermore, you will design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Your role will also involve understanding business and sectors, identifying whitespaces and opportunities for analytics application, managing projects, ensuring smooth service delivery, and communicating with cross-functional teams. Skills and attributes for success include the ability to work creatively and systematically in a time-limited, problem-solving environment, loyalty, reliability, high ethical standards, flexibility, curiosity, creativity, good interpersonal skills, teamwork, intercultural intelligence, experience of working in multi-cultural teams, ability to manage multiple priorities simultaneously, and excellent communication skills. To qualify for this role, you must have experience guiding teams on AI/Data Science projects, familiarity with Azure Cloud Framework, excellent presentation skills, 12-16 years of relevant work experience in AI and Machine Learning, experience in statistical techniques, deep learning, machine learning algorithms, programming in Python, SDLC experience, and willingness to mentor team members. Additionally, having the ability to think strategically, build rapport, travel extensively, and work on client sites/practice office locations is ideal. EY Global Delivery Services (GDS) offers a dynamic and truly global delivery network with fulfilling career opportunities, continuous learning, transformative leadership, and a diverse and inclusive culture. Join us at EY to build a better working world through trust, innovation, and value creation for clients, people, and society.,

As a Project Manager in Research & Development (R&D) specializing in Artificial Intelligence (AI) and Machine Learning (ML), you will be a key member of the team at NCS SoftSolutions (P) Ltd, a leading Audit Platform based in Chennai. Our company is dedicated to transforming Governance, Risk, and Compliance (GRC) and Audit processes by leveraging cutting-edge AI-driven tools and industry expertise to deliver unparalleled efficiency and innovation through our flagship product, eTHIC GRC & Audit Platform. In this role, we are seeking a proactive and hands-on individual with a strong background in Java development and a solid understanding of AI/ML technologies. Your responsibilities will include designing and developing innovative R&D solutions utilizing Java frameworks such as Spring MVC, Spring Boot, JSP, Servlets, and MyBatis. You will also be responsible for building and integrating RESTful APIs, working with Oracle DB for data modeling and query optimization, and ensuring secure coding practices and vulnerability fixes. Additionally, you will be expected to collaborate with cross-functional teams including QA, DevOps, and business stakeholders, guide junior developers, and lead small teams as necessary. Proficiency in CI/CD tools like Jenkins and Git for deployment, as well as a basic to intermediate understanding of AI/ML frameworks or cloud-based services, will be highly advantageous in this role. We particularly welcome professionals who are currently on a career break or seeking part-time or flexible work arrangements. Your ability to apply AI/ML models effectively, along with your problem-solving skills and team collaboration capabilities, will be instrumental in driving the success of our R&D projects. Key Responsibilities: - Design and develop R&D solutions using Java (Spring MVC, Spring Boot, JSP, Servlets) and MyBatis - Build and integrate RESTful APIs - Work with Oracle DB for data modeling and query optimization - Ensure secure coding practices, support VAPT fixes, and patch updates - Utilize CI/CD tools like Jenkins and Git for deployment - Apply AI/ML models, utilize ML APIs or cloud-based AI services - Collaborate with QA, DevOps, and business teams - Guide junior developers and lead small teams when required Skills Required: - Strong experience in Java, Spring, MyBatis, JSP, Servlets - Good knowledge of REST APIs and Oracle DB - Exposure to secure coding and vulnerability fixes - Familiarity with Jenkins, Git, and CI/CD pipelines - Basic to intermediate knowledge in AI/ML frameworks or services - Strong problem-solving and team collaboration skills If you have previously worked on projects involving the integration of Java technologies (such as Spring Boot, REST APIs, Oracle DB) with AI/ML, we encourage you to share brief details about your role and the tools or technologies you utilized. Join us in this dynamic role where your experience, flexibility, and innovative mindset will be highly valued. This position offers both full-time and permanent employment options, along with benefits including health insurance, life insurance, and Provident Fund. Embrace the opportunity to contribute to groundbreaking R&D initiatives in a supportive and collaborative work environment. Please note that the work location is in-person, and the role entails a day shift schedule.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and contribute to creating a better working world for all. As an Assistant Manager in AI/Gen AI within the Data and Analytics team, you will be part of a multi-disciplinary technology team that delivers client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. The assignments you work on will cover a wide range of countries and industry sectors. Your key responsibilities include: - Developing, reviewing, and implementing solutions using AI, Machine Learning, Deep Learning, and Python programming. - Leading the development and implementation of Generative AI applications using both open source and closed source Large Language Models (LLMs). - Working with advanced models for natural language processing and creative content generation. - Designing and optimizing solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. - Identifying opportunities for analytics applications within various industry sectors. - Managing projects and ensuring smooth service delivery. - Collaborating with cross-functional teams and stakeholders. Skills and attributes we are looking for: - Ability to work creatively and systematically in a time-limited, problem-solving environment - High ethical standards and reliability - Curiosity, creativity, and openness to new ideas - Good interpersonal and communication skills - Experience in working with multi-cultural teams and managing multiple priorities simultaneously To qualify for this role, you must have: - Experience in guiding teams on AI/Data Science projects and communicating results to clients - Familiarity with implementing solutions in Azure Cloud Framework - Presentation skills and 6-8 years of relevant work experience in developing and implementing Agentic GenAI/AI, Machine Learning Models - Proficiency in Python programming and experience with statistical techniques, deep learning, and machine learning algorithms - Familiarity with the software development life cycle and product development principles Ideally, you will also have: - Strategic thinking abilities and a customer-focused mindset - Ability to build rapport and trust with clients - Willingness to travel extensively and work on client sites/practice office locations What we offer: EY Global Delivery Services (GDS) provides a dynamic and truly global delivery network with fulfilling career opportunities and exciting projects. You will have the chance to collaborate with EY teams worldwide and work on projects with well-known brands. Continuous learning, success defined by you, transformative leadership, and a diverse and inclusive culture are all part of what EY offers to its employees. Join us at EY to be a part of a team that is committed to building a better working world by creating long-term value for clients, people, and society, and by building trust in the capital markets.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As an Assistant Director - AI/GenAI in the Data and Analytics team at EY, you will be part of a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. Your assignments will cover a wide range of countries and industry sectors. Your key responsibilities include developing, reviewing, and implementing solutions applying AI, Machine Learning, Deep Learning, and developing APIs using Python. You will lead the development and implementation of Generative AI applications, work with advanced models for natural language processing and creative content generation, and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Additionally, you will work on identifying opportunities for analytics application, manage projects, study resource needs, provide expert reviews, and communicate effectively with cross-functional teams. To qualify for this role, you must have 12-16 years of relevant work experience in developing and implementing AI, Machine Learning Models, experience in Azure Cloud Framework, excellent presentation skills, and familiarity with statistical techniques, deep learning, and machine learning algorithms. Proficiency in Python programming, experience with SDLC, and willingness to mentor team members are also required. Ideal candidates will have the ability to think strategically, build rapport with clients, and be willing to travel extensively. In addition, we look for individuals with commercial acumen, technical experience, and enthusiasm to learn in a fast-moving environment. This role offers the opportunity to be part of a market-prominent, multi-disciplinary team and work with EY SaT practices globally across various industries. EY Global Delivery Services (GDS) is a dynamic and truly global delivery network that offers fulfilling career opportunities in collaboration with EY teams on exciting projects worldwide. Continuous learning, transformative leadership, and a diverse and inclusive culture are some of the key aspects of working at EY. EY exists to build a better working world by providing trust through assurance and helping clients grow, transform, and operate across various sectors. Your role at EY will contribute to creating long-term value for clients, people, and society while building trust in the capital markets.,

You are being invited to join the team at EdPi Education and Technology Pvt Ltd as a Frontend Developer. EdPi is a collaborative research and development center that is focused on utilizing artificial intelligence and machine learning to revolutionize the field of education. By bringing together various institutions and organizations in the US and India, EdPi aims to create innovative solutions in the education sector. As a Frontend Developer at EdPi, you will be responsible for developing and maintaining user-friendly web interfaces. Your expertise in HTML, CSS, JavaScript, and modern frameworks such as React.js, Angular, or Vue.js will be crucial in delivering seamless experiences across different devices. Experience in integrating AI and ML models into web applications will be highly valued as you collaborate with UX/UI designers and backend developers to create scalable interfaces. Additionally, familiarity with the EdTech industry and cloud platforms will be advantageous in this role. Key Responsibilities: - Develop and optimize responsive web interfaces to ensure high performance and user-friendliness. - Collaborate with design and backend teams to implement new features and improve existing ones. - Integrate AI and ML capabilities into the frontend for enhanced performance. - Ensure cross-browser compatibility and consistent user experiences. - Write clean, scalable, and maintainable code following best practices. - Troubleshoot and debug to address performance issues and ensure smooth application operation. Qualifications: - 2-4 years of proven experience in frontend development with a strong portfolio. - Proficiency in HTML, CSS, JavaScript, and modern frontend frameworks like React, Angular, or Vue.js. - Experience with frontend build tools, version control systems, and AI/ML integration. - Strong UI/UX understanding and familiarity with EdTech will be beneficial. - Knowledge of frontend testing frameworks, performance optimization, and problem-solving skills. Preferred Skills: - Familiarity with AI/ML frameworks like TensorFlow.js. - Experience with cloud platforms and their integration with web applications. - Proficiency in mobile-first development and Agile methodology. If you are passionate about frontend development and eager to contribute to the transformation of education through technology, this opportunity at EdPi might be the perfect fit for you.,

As a Project Manager in R&D (AI & Machine Learning) at NCS SoftSolutions (P) Ltd in Chennai, you will be part of India's leading Audit Platform, specializing in transforming Governance, Risk, and Compliance (GRC) and Audit processes through cutting-edge AI-driven tools and domain expertise. Our flagship product, eTHIC GRC & Audit Platform, is at the forefront of the industry by integrating advanced AI technology with established audit methodologies. Your role will involve hands-on management of R&D projects, requiring strong Java skills and expertise in AI/ML. You will contribute to innovative product development by combining backend systems with intelligent features. We welcome professionals seeking part-time or flexible work options, including those on a career break. Key Responsibilities: - Design and develop R&D solutions using Java (Spring MVC, Spring Boot, JSP, Servlets) and MyBatis - Build and integrate RESTful APIs - Work with Oracle DB for data modeling and query optimization - Implement secure coding practices, support VAPT fixes, and patch updates - Utilize CI/CD tools like Jenkins and Git for deployment - Apply AI/ML models, utilize ML APIs, or cloud-based AI services - Collaborate with QA, DevOps, and business teams - Provide guidance to junior developers and lead small teams as necessary Skills Required: - Strong experience in Java, Spring, MyBatis, JSP, Servlets - Good understanding of REST APIs and Oracle DB - Exposure to secure coding and vulnerability fixes - Familiarity with Jenkins, Git, and CI/CD pipelines - Basic to intermediate knowledge in AI/ML frameworks or services - Strong problem-solving and team collaboration skills Note: We actively encourage applications from part-time professionals and individuals on a career break. We value experience, flexibility, and a commitment to innovation. This position is offered as a Full-time, Permanent role with benefits including health insurance, life insurance, and Provident Fund. The work location is in person, with a day shift schedule. Application Question: Have you previously worked on a project involving Java (e.g., Spring Boot, REST APIs, Oracle DB) and AI/ML If yes, please briefly describe your role and the tools or technologies utilized.,

As an SMO-OSS Integration Consultant specializing in 5G Networks, you will be responsible for designing and implementing integration workflows between the SMO platform and OSS systems to effectively manage 5G network resources and operations. Your role will involve configuring OSS-SMO interfaces for tasks such as fault management, performance monitoring, and lifecycle management to ensure seamless data exchange between SMO and OSS for service orchestration, provisioning, and assurance. You will play a crucial role in enabling automated service provisioning and lifecycle management using SMO, as well as developing workflows and processes for end-to-end network orchestration, including MEC, network slicing, and hybrid cloud integration. Additionally, you will be expected to conduct end-to-end testing of SMO-OSS integration in both lab and production environments, validating integration of specific use cases such as fault detection, service assurance, and anomaly detection. Collaboration with cross-functional teams, including OSS developers, cloud engineers, and AI/ML experts, will be an essential part of your role as you work together to define integration requirements. Furthermore, you will engage with vendors and third-party providers to ensure compatibility and system performance. In terms of required skills and experience, you should possess strong technical expertise in SMO platforms and their integration with OSS systems, along with familiarity with OSS functions like inventory management, fault management, and performance monitoring. Hands-on experience with O-RAN interfaces such as A1, E2, and O1 is essential. Deep knowledge of 5G standards, including 3GPP, O-RAN, and TM Forum, as well as proficiency in protocols like HTTP/REST APIs, NETCONF, and YANG is required. Programming skills in languages like Python, Bash, or similar for scripting and automation, along with experience in AI/ML frameworks and their application in network optimization, will be beneficial. Familiarity with tools like Prometheus, Grafana, Kubernetes, Helm, and Ansible for monitoring and deployment, as well as cloud-native deployments (e.g., OpenShift, AWS, Azure), is desired. Strong problem-solving abilities for debugging and troubleshooting integration and configuration issues are also important for this role.,