1522 Openai Jobs - Page 25

Job Req ID: 47375 Location: Hyderabad, IN Function: Technology/ IOT/Cloud About: Role Overview: We are seeking a highly skilled and motivated Senior Data Scientist with deep expertise in Generative AI , Machine Learning , Deep Learning , and advanced Data Analytics . The ideal candidate will have hands-on experience in building, deploying, and maintaining end-to-end ML solutions at scale, preferably within the Telecom domain. You will be part of our AI & Data Science team, working on high-impact projects ranging from customer analytics, network intelligence, churn prediction, to generative AI applications in telco automation and customer experience. Key Responsibilities: Design, develop, and deploy advanced machine learning and deep learning models for Telco use cases such as: Network optimization Customer churn prediction Usage pattern modeling Fraud detection GenAI applications (e.g., personalized recommendations, customer service automation) Lead the design and implementation of Generative AI solutions (LLMs, transformers, text-to-text/image models) using tools like OpenAI, Hugging Face, LangChain, etc. Collaborate with cross-functional teams including network, marketing, IT, and business to define AI-driven solutions. Perform exploratory data analysis , feature engineering, model selection, and evaluation using real-world telecom datasets (structured and unstructured). Drive end-to-end ML solution deployment into production (CI/CD pipelines, model monitoring, scalability). Optimize model performance and latency in production, especially for real-time and edge applications. Evaluate and integrate new tools, platforms, and AI frameworks to advance Vi’s data science capabilities. Provide technical mentorship to junior data scientists and data engineers. Required Qualifications & Skills: 8+ years of industry experience in Machine Learning, Deep Learning, and Advanced Analytics. Strong hands-on experience with GenAI models and frameworks (e.g., GPT, BERT, Llama, LangChain, RAG pipelines). Proficiency in Python , and libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers , etc. Experience in end-to-end model lifecycle management , from data preprocessing to production deployment (MLOps). Familiarity with cloud platforms like AWS, GCP, or Azure; and ML deployment tools (Docker, Kubernetes, MLflow, FastAPI, etc.). Strong understanding of SQL , big data tools (Spark, Hive), and data pipelines. Excellent problem-solving skills with a strong analytical mindset and business acumen. Prior experience working on Telecom datasets or use cases is a strong plus. Preferred Skills: Experience with vector databases , embeddings , and retrieval-augmented generation (RAG) pipelines. Exposure to real-time ML inference and streaming data platforms (Kafka, Flink). Knowledge of network analytics , geo-spatial modeling , or customer behavior modeling in a Telco environment. Experience mentoring teams or leading small AI/ML projects.

Job Req ID: 47376 Location: Hyderabad, IN Function: Technology/ IOT/Cloud About: Role Overview: We are seeking a highly skilled and motivated Senior Data Scientist with deep expertise in Generative AI , Machine Learning , Deep Learning , and advanced Data Analytics . The ideal candidate will have hands-on experience in building, deploying, and maintaining end-to-end ML solutions at scale, preferably within the Telecom domain. You will be part of our AI & Data Science team, working on high-impact projects ranging from customer analytics, network intelligence, churn prediction, to generative AI applications in telco automation and customer experience. Key Responsibilities: Design, develop, and deploy advanced machine learning and deep learning models for Telco use cases such as: Network optimization Customer churn prediction Usage pattern modeling Fraud detection GenAI applications (e.g., personalized recommendations, customer service automation) Lead the design and implementation of Generative AI solutions (LLMs, transformers, text-to-text/image models) using tools like OpenAI, Hugging Face, LangChain, etc. Collaborate with cross-functional teams including network, marketing, IT, and business to define AI-driven solutions. Perform exploratory data analysis , feature engineering, model selection, and evaluation using real-world telecom datasets (structured and unstructured). Drive end-to-end ML solution deployment into production (CI/CD pipelines, model monitoring, scalability). Optimize model performance and latency in production, especially for real-time and edge applications. Evaluate and integrate new tools, platforms, and AI frameworks to advance Vi’s data science capabilities. Provide technical mentorship to junior data scientists and data engineers. Required Qualifications & Skills: 8+ years of industry experience in Machine Learning, Deep Learning, and Advanced Analytics. Strong hands-on experience with GenAI models and frameworks (e.g., GPT, BERT, Llama, LangChain, RAG pipelines). Proficiency in Python , and libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers , etc. Experience in end-to-end model lifecycle management , from data preprocessing to production deployment (MLOps). Familiarity with cloud platforms like AWS, GCP, or Azure; and ML deployment tools (Docker, Kubernetes, MLflow, FastAPI, etc.). Strong understanding of SQL , big data tools (Spark, Hive), and data pipelines. Excellent problem-solving skills with a strong analytical mindset and business acumen. Prior experience working on Telecom datasets or use cases is a strong plus. Preferred Skills: Experience with vector databases , embeddings , and retrieval-augmented generation (RAG) pipelines. Exposure to real-time ML inference and streaming data platforms (Kafka, Flink). Knowledge of network analytics , geo-spatial modeling , or customer behavior modeling in a Telco environment. Experience mentoring teams or leading small AI/ML projects.

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Skill: Agentic Powered Automation (APA) Hands-on Experience With: Building and deploying autonomous agents LangChain framework for developing applications Retrieval Augmented Generation (RAG) systems Large Language Models (LLMs) and their APIs Solid understanding of safety principles and best practices Resolving Hallucinations in the outcomes Technical Skills Advanced Python programming with expertise in async programming and API development Experience with vector databases and embedding models Proficiency in implementing RAG pipelines and knowledge retrieval systems Familiarity with prompt engineering and LLM optimization techniques Experience with development frameworks and tools Knowledge of modern software development practices (Git, CI/CD, testing) Key Responsibilities Design and implement autonomous agents using LangChain / Crew.ai / SK / Autogen and other relevant frameworks Develop and optimize RAG systems for improved information retrieval and response generation Create robust evaluation frameworks for testing agent performance and safety Implement monitoring and logging systems for agent behavior Develop documentation and best practices for agent development Contribute to the improvement of agent architecture and capabilities Preferred Skills Experience with: Multiple LLM providers (OpenAI, Anthropic, etc.) Tools for agent orchestration and workflow management Natural Language Processing (NLP) techniques Container technologies (Docker, Kubernetes) Understanding of semantic search and information retrieval concepts Knowledge of agent alignment and safety considerations Mandatory skill sets: Agentic Powered Automation (APA) Preferred skill sets: Agentic Powered Automation (APA) Years of experience required: 5-7 Years Education qualification: BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Automation Integration Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

As a Field Sales Executive at OpenAI, you will lead enterprise customer engagements, guiding them from initial consideration to the successful deployment of AI solutions. This role involves collaborating with cross-functional teams to develop and execute complex customer programs, managing revenue forecasts, and contributing to product roadmaps based on industry Key Responsibilities Manage key enterprise accounts and develop comprehensive account strategies. Lead prospects through the sales journey, from initial contact to deployment. Collaborate with solutions and research engineering teams to tailor AI solutions to customer needs. Own and manage consumption revenue targets and forecasts. Analyze account metrics to provide insights to stakeholders. Monitor industry trends to inform product development and corporate strategies. Work closely with marketing, finance, and engineering departments to support company operations. Assist in recruiting and onboarding new team members.openai.com+9jobs.techsalesjobs.com+9jooble.org+9startup.jobs+2jooble.org+2jobs.techsalesjobs.com+2 Qualifications 7+ years of experience in selling platform-as-a-service (PaaS) or software-as-a-service (SaaS) solutions. Proven track record of achieving annual revenue targets exceeding $1 million. Experience in designing and executing complex deal strategies. Background in supporting the growth of high-performance companies. Direct experience working with C-level executives and communicating technical concepts effectively. Customer-centric mindset with a passion for understanding and addressing customer priorities. Interest in artificial intelligence and its applications in various industries. Strategic thinker with a deep understanding of go-to-market best . Preferred Attributes Strong leadership and team management skills. Ability to build and maintain relationships with key stakeholders. Excellent analytical and problem-solving abilities. Effective communication and presentation skills. Adaptability to work in a fast-paced and evolving environment. Job Type: Full-time Pay: ₹18,000.00 - ₹20,000.00 per month Schedule: Day shift Morning shift Supplemental Pay: Commission pay Performance bonus Experience: Sales & Marketing : 3 years (Required) Field sales executive: 3 years (Required) Sales Executive: 3 years (Required) Work Location: In person

Job Title - Sr Gen AI full stack Developer. Experience- 8+yrs Location - Remote Notice Period - Immediate to 15 days Primary Skills - Gen AI fullstack, Azure cloud, Python Roles and Responsibilities: Lead design, architecture, and development of scalable full-stack applications using Node.js and Python Drive end-to-end delivery of Gen AI features, including integrating OpenAI APIs, designing RAG pipelines, and applying prompt engineering Architect and implement chatbot platforms and conversational flows using third-party tools or custom frameworks Mentor and guide junior/mid-level developers through code reviews, pair programming, and technical discussions Collaborate with cross-functional teams (UX, AI/ML, product) to align technology with business goals Build robust APIs and data processing layers for backend systems, ensuring performance and reliability Contribute hands-on to UI development using HTML, CSS, JavaScript, and modern frameworks Enforce best practices in coding, testing, and agile delivery Manage technical risks, escalate issues early, and drive resolution in coordination with stakeholders Must-Have Skills: 8+ years of experience in full stack development with Node.js, Python, and web technologies Proven experience in building and scaling chatbots and Gen AI applications on Azure. Deep understanding of OpenAI APIs, prompt engineering, and LLM integration Hands-on experience designing or implementing Retrieval-Augmented Generation (RAG) systems Strong knowledge of REST APIs, SQL/NoSQL databases, and cloud-native development Solid experience with frontend frameworks (e.g., React, Vue.js) and UI best practices Excellent communication and leadership skills, with a collaborative mindset Nice-to-Have Skills: Experience with vector databases Familiarity with CI/CD pipelines, Git, and DevOps practices Prior experience leading distributed teams or working in a tech lead capacity

OPENTEXT OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation. Your Impact: We are seeking a skilled and experienced Software Engineer with expertise in Large Language Models (LLM), Java,Python, Kubernetes, Helm and cloud technologies like AWS. The ideal candidate will contribute to designing, developing, and maintaining scalable software solutions using microservices architecture. This role offers an exciting opportunity to work with cutting-edge technologies in a collaborative environment. What the role offers: Design, develop, troubleshoot and debug software programs for software enhancements and new products. Integrate Large Language Models (LLMs) into business applications to enhance functionality and user experience. Develop and maintain transformer-based models. Develop RESTful APIs and ensure seamless integration across services. Collaborate with cross-functional teams to gather requirements and translate them into technical solutions. Implement best practices for cloud-native development using AWS services like EC2, Lambda, SageMaker, S3 etc. Deploy, manage, and scale containerized applications using Kubernetes (K8S) and Helm. Designs enhancements, updates, and programming changes for portions and subsystems of application software, utilities, databases, and Internet-related tools. Analyses design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. Collaborates and communicates with management, internal, and outsourced development partners regarding software systems design status, project progress, and issue resolution. Represents the software systems engineering team for all phases of larger and more-complex development projects. Ensure system reliability, security, and performance through effective monitoring and troubleshooting. Write clean, efficient, and maintainable code following industry standards. Participate in code reviews, mentorship, and knowledge-sharing within the team. What you need to succeed: Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent. Typically, 3-5 years of experience Strong understanding of Large Language Models (LLM) and experience applying them in real-world applications. Expertise in Elastic Search or similar search and indexing technologies. Expertise in designing and implementing microservices architecture. Solid experience with AWS services like EC2, VPC, ECR, EKS, SageMaker etc. for cloud deployment and management. Proficiency in container orchestration tools such as Kubernetes (K8S) and packaging/deployment tools like Helm. Strong problem-solving skills and the ability to troubleshoot complex issues. Strong experience in Java and Python development, with proficiency in frameworks like Spring Boot or Java EE. Should have good hands-on experience in designing and writing modular object-oriented code. Good knowledge of REST APIs, Spring, Spring boot, Hibernate. Excellent analytical, troubleshooting and problem-solving skills. Ability to demonstrate effective teamwork both within the immediate team and across teams. Experience in working with version control and build tools like GIT, GitLab, Maven and Jenkins, GitLab CI. Excellent communication and collaboration skills. Familiarity with Python for LLM-related tasks. Working knowledge in RAG Experience working with NLP frameworks such as Hugging Face, OpenAI, or similar. Knowledge of database systems like PostgreSQL, MongoDB, or DynamoDB. Experience with observability tools like Prometheus, Grafana, or ELK Stack. Experience in working with event-driven architectures and messaging systems (e.g., Kafka, RabbitMQ). Experience with CI/CD pipelines, DevOps practices, and infrastructure as code (e.g., Terraform, CloudFormation). Familiar with Agile framework/SCRUM development methodologies One last thing: OpenText is more than just a corporation, it's a global community where trust is foundational, the bar is raised, and outcomes are owned.Join us on our mission to drive positive change through privacy, technology, and collaboration. At OpenText, we don't just have a culture; we have character. Choose us because you want to be part of a company that embraces innovation and empowers its employees to make a difference. OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please contact us athr@opentext.com. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

Job Title - Mid level Gen AI fullstack Experience- 5-6 yrs Location - Remote Notice Period - Immediate to 15 days Primary Skills - Gen AI fullstack, Azure cloud, Python Roles and Responsibilities: Design and build scalable, full-stack applications using Node.js and Python Develop and integrate chatbot solutions using both custom-built and third-party platforms (e.g., Dialogflow, Oracle Digital Assistant) Create responsive, accessible UI components using HTML, CSS, and JavaScript Collaborate with AI/ML teams, UX designers, and product owners to deliver intelligent, user- centric chatbot and Gen AI features Integrate OpenAI APIs (and similar LLMs) into applications for advanced conversational and generative capabilities Apply prompt engineering techniques to fine-tune and optimize LLM behavior for specific business use cases Design and implement Retrieval-Augmented Generation (RAG) pipelines to enable real-time, grounded responses using external data sources Build and manage RESTful APIs and handle backend processing, ensuring seamless data flow Troubleshoot, debug, and optimize performance across the tech stack, especially with AI features in production Write clean, maintainable, and testable code and contribute to peer code reviews Work in an agile environment with a focus on delivery, experimentation, and continuous improvement

Job Type: Full-time, Permanent Job mode: On-Site/Hybrid Joining: Open to immediate joiners and candidates available within 1-2 weeks. Sense7AI Data Solutions is seeking a highly skilled and forward-thinking AI/ML Engineer to join our dynamic team. You will play a critical role in designing, developing, and deploying state-of-the-art AI solutions using both classical machine learning and cutting-edge generative AI technologies. The ideal candidate is not only technically proficient but also deeply familiar with modern AI tools, frameworks, and prompt engineering strategies. Key Responsibilities Design, build, and deploy end-to-end AI/ML solutions tailored to real-world business challenges. Leverage the latest advancements in Generative AI, LLMs (e.g., GPT, Claude, LLaMA), and multimodal models for intelligent applications. Develop, fine-tune, and evaluate custom language models using transfer learning and prompt engineering. Work with traditional ML models and deep learning architectures (CNNs, RNNs, Transformers) for diverse applications such as NLP, computer vision, and time-series forecasting. Create and maintain scalable ML pipelines using MLOps best practices. Collaborate with cross-functional teams (data engineers, product managers, business analysts) to understand domain needs and translate them into AI solutions. Stay current on the evolving AI landscape, including open-source tools, academic research, cloud-native AI services, and responsible AI practices. Ensure AI model transparency, fairness, bias mitigation, and compliance with data governance standards. Required Skills & Qualifications Education: Any degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience: 3 – 5 years of hands-on experience in AI/ML solution development, model deployment, and experimentation. Technical Proficiency: Programming: Python (strong), familiarity with Bash/CLI, and Git . Frameworks: TensorFlow, PyTorch, Hugging Face Transformers, Scikit-learn . GenAI & LLM Tools: LangChain, OpenAI APIs, Anthropic, Vertex AI, PromptLayer, Weights & Biases. Prompt Engineering: Experience crafting, testing, and optimizing prompts for LLMs across multiple platforms. Cloud & MLOps: AWS/GCP/Azure (SageMaker, Vertex AI, Azure ML), Docker, Kubernetes, MLflow. Data: SQL, NoSQL, BigQuery, Spark, Hadoop; data wrangling, cleansing, and feature engineering. Strong grasp of model evaluation techniques, fine-tuning strategies, and A/B testing. Preferred Qualifications Experience with AutoML , reinforcement learning, vector databases (e.g., Milvus, FAISS), or RAG (Retrieval-Augmented Generation). Familiarity with deploying LLMs and GenAI systems in production environments. Hands-on experience with open-source LLMs and fine-tuning (e.g., LLaMA, Mistral, Falcon, Open LLaMA). Understanding of AI compliance, data privacy, ethical AI, and explainability (XAI). Strong problem-solving skills and the ability to work in fast-paced, evolving tech landscapes. Excellent written and verbal communication in English. Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Health insurance Paid time off Provident Fund Experience: Machine learning: 3 years (Preferred) AI: 3 years (Preferred) Work Location: In person

Agnito Technologies is Hiring: Prompt Engineer / LLM Specialist Location: Bhopal (Work From Office) Vacancy: 1 Experience: 3+ years optimizing prompts in banking & legal contexts Package: No bar for the right candidate Role Overview: Agnito Technologies is looking for an innovative Prompt Engineer / LLM Specialist to design and fine-tune prompts for real-world applications in banking and legal domains. You’ll work with cutting-edge large language models (LLMs) like GPT and Claude, and integrate them with vector databases to build intelligent, domain-specific AI systems. Key Responsibilities: Design, test, and optimize prompts for GPT, Claude, and other leading LLMs Apply few-shot and zero-shot learning techniques to enhance performance Fine-tune LLM outputs for accuracy, tone, and regulatory relevance Integrate LLMs with vector databases (e.g., Pinecone, FAISS) for RAG-based solutions Collaborate with data scientists, product managers, and domain experts (legal, finance) Required Skills & Experience: 3+ years of experience optimizing LLM prompts in banking, finance, or legal contexts Proficient in prompt engineering and prompt tuning methodologies Hands-on experience with GPT (OpenAI), Claude (Anthropic), and similar models Familiarity with vector search engines like Pinecone, FAISS, or Weaviate Understanding of compliance, sensitivity, and accuracy in AI-generated content Job Type: Full-time Schedule: Day shift Work Location: In person

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Job Description: Skill: Agentic Powered Automation (APA) Hands-on Experience With: Building and deploying autonomous agents LangChain framework for developing applications Retrieval Augmented Generation (RAG) systems Large Language Models (LLMs) and their APIs Solid understanding of safety principles and best practices Resolving Hallucinations in the outcomes Technical Skills Advanced Python programming with expertise in async programming and API development Experience with vector databases and embedding models Proficiency in implementing RAG pipelines and knowledge retrieval systems Familiarity with prompt engineering and LLM optimization techniques Experience with development frameworks and tools Knowledge of modern software development practices (Git, CI/CD, testing) Key Responsibilities Design and implement autonomous agents using LangChain / Crew.ai / SK / Autogen and other relevant frameworks Develop and optimize RAG systems for improved information retrieval and response generation Create robust evaluation frameworks for testing agent performance and safety Implement monitoring and logging systems for agent behavior Develop documentation and best practices for agent development Contribute to the improvement of agent architecture and capabilities Preferred Skills Experience with: Multiple LLM providers (OpenAI, Anthropic, etc.) Tools for agent orchestration and workflow management Natural Language Processing (NLP) techniques Container technologies (Docker, Kubernetes) Understanding of semantic search and information retrieval concepts Knowledge of agent alignment and safety considerations Mandatory skill sets: Agentic Powered Automation (APA) Preferred skill sets: Agentic Powered Automation (APA) Years of experience required: 3-4 Years Education qualification: BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Microsoft Power Automate Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

P1-C3-STS JD Experience: 12+ overall IT, 5+ in architecture, 3+ in AI/ML Overview AI Solutions Architect Role to drive AI innovation at a major aluminum manufacturing client focused on helping shape strategy, evaluate GenAI and ML tools, and design solutions that bring real business value. This role requires strong technical expertise, business acumen, and the ability to work with both senior executives and technical teams. Key Responsibilities Architect AI/ML and GenAI solutions for manufacturing and supply chain use cases like predictive maintenance, quality assurance, production optimization, and worker safety. Evaluate and recommend LLMs (open-source and commercial), tools for RAG (Retrieval-Augmented Generation), Agentic AI, vector databases, and orchestration frameworks like LangChain or Semantic Kernel. Stay current with trends like fine-tuning, prompt engineering, model compression, low-rank adaptation (LoRA), and synthetic data generation. Understand security, privacy, and compliance concerns related to AI, including data protection laws (e.g., GDPR), model misuse, and global regulatory trends like the EU AI Act. Lead assessments, POCs, and design reviews ask the right questions, challenge assumptions, and drive actionable decisions. Align AI solutions with enterprise architecture principles security, scalability, integration, and governance. Collaborate with data, app, and business teams to ensure robust pipelines, MLOps, and lifecycle management for deployed models. Understand and address manufacturing specific concerns like downtime, latency, uptime, process precision, and compliance. Qualifications 12+ years of overall experience in IT 5+ years in solution architecture roles experience across both business-facing and technical domains. 3+ years hands on experience with AI/ML, including GenAI use cases. Deep familiarity with open-source LLMs (e.g., LLaMA), RAG architecture, and agent frameworks. Experience with Azure OpenAI, Azure Machine Learning, and related tools in the Microsoft ecosystem. Exposure to smart manufacturing or industrial AI use cases (e.g., computer vision in QA, anomaly detection, supply chain AI). Strong communication skillsable to work with senior management, business, product, and engineering teams. Some background in enterprise architecture (e.g., TOGAF, Zachman framework) is a plus. Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: Skill: Agentic Powered Automation (APA) Hands-on Experience With: Building and deploying autonomous agents LangChain framework for developing applications Retrieval Augmented Generation (RAG) systems Large Language Models (LLMs) and their APIs Solid understanding of safety principles and best practices Resolving Hallucinations in the outcomes Technical Skills Advanced Python programming with expertise in async programming and API development Experience with vector databases and embedding models Proficiency in implementing RAG pipelines and knowledge retrieval systems Familiarity with prompt engineering and LLM optimization techniques Experience with development frameworks and tools Knowledge of modern software development practices (Git, CI/CD, testing) Key Responsibilities Design and implement autonomous agents using LangChain / Crew.ai / SK / Autogen and other relevant frameworks Develop and optimize RAG systems for improved information retrieval and response generation Create robust evaluation frameworks for testing agent performance and safety Implement monitoring and logging systems for agent behavior Develop documentation and best practices for agent development Contribute to the improvement of agent architecture and capabilities Preferred Skills Experience with: Multiple LLM providers (OpenAI, Anthropic, etc.) Tools for agent orchestration and workflow management Natural Language Processing (NLP) techniques Container technologies (Docker, Kubernetes) Understanding of semantic search and information retrieval concepts Knowledge of agent alignment and safety considerations Mandatory skill sets: Agentic Powered Automation (APA) Preferred skill sets: Agentic Powered Automation (APA) Years of experience required: 8-10 Years Education qualification: BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Automation Testing Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility {+ 30 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

Harness is a high-growth company that is disrupting the software delivery market. Our mission is to enable the 30 million software developers in the world to deliver code to their users reliably, efficiently, securely and quickly, increasing customers’ pace of innovation while improving the developer experience. We offer solutions for every step of the software delivery lifecycle to build, test, secure, deploy and manage reliability, feature flags and cloud costs. The Harness Software Delivery Platform includes modules for CI, CD, Cloud Cost Management, Feature Flags, Service Reliability Management, Security Testing Orchestration, Chaos Engineering, Software Engineering Insights and continues to expand at an incredibly fast pace. Harness is led by technologist and entrepreneur Jyoti Bansal, who founded AppDynamics and sold it to Cisco for $3.7B. We’re backed with $425M in venture financing from top-tier VC and strategic firms, including J.P. Morgan, Capital One Ventures, Citi Ventures, ServiceNow, Splunk Ventures, Norwest Venture Partners, Adage Capital Partners, Balyasny Asset Management, Gaingels, Harmonic Growth Partners, Menlo Ventures, IVP, Unusual Ventures, GV (formerly Google Ventures), Alkeon Capital, Battery Ventures, Sorenson Capital, Thomvest Ventures and Silicon Valley Bank. Position Summary We're thrilled to invite passionate backend engineers to join our dynamic product team within the AI Developer Assistant product division. As we continue to expand our cutting-edge Generative AI and machine learning product, your role will be pivotal in driving its growth and evolution. Join us in shaping the future of AI-driven innovation in software delivery, where endless opportunities for professional development and impact await. You’ll join the AI QA Assistant engineering team, focusing on end-to-end testing of web applications. The team is developing a Generative AI-powered agent that uses natural language to automate key aspects of developers’ daily tasks. This agent will generate test cases, write and maintain automation tests, and significantly reduce the burden on developers, managers, and QA teams. Key Responsibilities Driving end to end, design and implementation of features Design, develop, and maintain integrations with multiple AI and cloud systems like Google Vertex AI, Azure, AWS and OpenAI Build Gen AI based Agentic architecture for a first class AI enabled user experience Use Prompt engineering techniques to leverage the best LLM models Collaborate with product management, engineering teams and Machine learning engineers for requirements through to delivery Design and implement scalable AI services About You 6+ years of experience developing backend systems 6+ years of experience in Python with some knowledge of JavaScript (preferably Typescript) Experience in RestAPIs, RPC, Deploying services Experience in data modeling using NoSQL systems like MongoDB or SQL systems like MySQL, Postgres, etc. Bachelor's degree, CS preferred, or equivalent professional experience Experience working AWS to build scalable applications Preference for candidates with experience in: Building Code Generation products using LLMs Knowledge of browser automation tools such as Puppeteer Work Location Bangalore - Hybrid What You Will Have At Harness Experience building a transformative product End-to-end ownership of your projects Competitive salary Comprehensive healthcare benefit Flexible work schedule Paid Time Off and Parental Leave Monthly, quarterly, and annual social and team building events Monthly internet reimbursement Harness In The News Harness Grabs a $150m Line of Credit Welcome Split! SF Business Times - 2024 - 100 Fastest-Growing Private Companies in the Bay Area Forbes - 2024 America's Best Startup Employers SF Business Times - 2024 Fastest Growing Private Companies Awards Fast Co - 2024 100 Best Workplaces for Innovators All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin. Note on Fraudulent Recruiting/Offers We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at security@harness.io. You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission’s website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency. Show more Show less

Role Description: We are seeking a Competency Leader to lead the design, development, and deployment of advanced AI and Generative AI (GenAI) solutions that deliver significant business value to our pharma clients. The ideal candidate will have extensive hands-on experience with AI/ML frameworks, cloud platforms, and MLOps, coupled with a deep understanding of GenAI technologies. LOCATION: Bangalore, Hyderabad, Mumbai, Pune, Noida Key Responsibilities: Design, develop, and optimize AI/ML models for practical applications, ensuring high performance, scalability, and reliability. Innovate using advanced GenAI technologies (e.g., LLMs, RAG, OpenAI APIs) to address complex business challenges. Implement and manage end-to-end MLOps pipelines, including CI/CD, model monitoring, retraining workflows, and versioning. Architect and deploy scalable, cost-effective AI/ML solutions on cloud platforms (AWS, Azure) Collaborate with cross-functional stakeholders to align AI solutions with business objectives Mentor and guide junior engineers, fostering innovation and adherence to best practices in AI/ML development and deployment Develop and train Generative AI models Perform data analysis and prepare data for AI model training Integrate AI models with Snowflake, AWS and other systems Required knowledge : 13+ years of experience in AI/ML development and deployment, including leadership roles Good knowledge in machine learning and Generative AI, especially content generation using AWS Bedrock and OpenAI based models Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit and vector databases. Good experience in building scalable (Gen) AI applications on AWS. Strong background and understanding of vector databases. Good knowledge in Python for data science, as well as streamlit for rapid deployment of prototypes. Experience to work in an agile Experience in the setup and usage of CI/CD pipelines as well as writing software in a test-driven fashion. Experience in building (Gen) AI solutions on Snowflake is a plus. Experience with Agentic AI build Key Skill: Python, AI/ML Expertise, Deep Learning, NLP, MLOps, Cloud Platforms (AWS, Azure), GenAI (LLM, RAG, OpenAI), LangChain, Streamlit, API Architecture, Leadership, Business-Aligned Problem Solving, Prompt Engineering, Knowledge of Vector Databases. Show more Show less

Role Overview We are seeking a highly skilled and motivated Senior Data Scientist with deep expertise in Generative AI , Machine Learning , Deep Learning , and advanced Data Analytics . The ideal candidate will have hands-on experience in building, deploying, and maintaining end-to-end ML solutions at scale, preferably within the Telecom domain. You will be part of our AI & Data Science team, working on high-impact projects ranging from customer analytics, network intelligence, churn prediction, to generative AI applications in telco automation and customer experience. Key Responsibilities Design, develop, and deploy advanced machine learning and deep learning models for Telco use cases such as: Network optimization Customer churn prediction Usage pattern modeling Fraud detection GenAI applications (e.g., personalized recommendations, customer service automation) Lead the design and implementation of Generative AI solutions (LLMs, transformers, text-to-text/image models) using tools like OpenAI, Hugging Face, LangChain, etc. Collaborate with cross-functional teams including network, marketing, IT, and business to define AI-driven solutions. Perform exploratory data analysis, feature engineering, model selection, and evaluation using real-world telecom datasets (structured and unstructured). Drive end-to-end ML solution deployment into production (CI/CD pipelines, model monitoring, scalability). Optimize model performance and latency in production, especially for real-time and edge applications. Evaluate and integrate new tools, platforms, and AI frameworks to advance Vi’s data science capabilities. Provide technical mentorship to junior data scientists and data engineers. Required Qualifications & Skills 8+ years of industry experience in Machine Learning, Deep Learning, and Advanced Analytics. Strong hands-on experience with GenAI models and frameworks (e.g., GPT, BERT, Llama, LangChain, RAG pipelines). Proficiency in Python, and libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers, etc. Experience in end-to-end model lifecycle management, from data preprocessing to production deployment (MLOps). Familiarity with cloud platforms like AWS, GCP, or Azure; and ML deployment tools (Docker, Kubernetes, MLflow, FastAPI, etc.). Strong understanding of SQL, big data tools (Spark, Hive), and data pipelines. Excellent problem-solving skills with a strong analytical mindset and business acumen. Prior experience working on Telecom datasets or use cases is a strong plus. Preferred Skills Experience with vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines. Exposure to real-time ML inference and streaming data platforms (Kafka, Flink). Knowledge of network analytics, geo-spatial modeling, or customer behavior modeling in a Telco environment. Experience mentoring teams or leading small AI/ML projects. Show more Show less

Role Overview We are seeking a highly skilled and motivated Senior Data Scientist with deep expertise in Generative AI , Machine Learning , Deep Learning , and advanced Data Analytics . The ideal candidate will have hands-on experience in building, deploying, and maintaining end-to-end ML solutions at scale, preferably within the Telecom domain. You will be part of our AI & Data Science team, working on high-impact projects ranging from customer analytics, network intelligence, churn prediction, to generative AI applications in telco automation and customer experience. Key Responsibilities Design, develop, and deploy advanced machine learning and deep learning models for Telco use cases such as: Network optimization Customer churn prediction Usage pattern modeling Fraud detection GenAI applications (e.g., personalized recommendations, customer service automation) Lead the design and implementation of Generative AI solutions (LLMs, transformers, text-to-text/image models) using tools like OpenAI, Hugging Face, LangChain, etc. Collaborate with cross-functional teams including network, marketing, IT, and business to define AI-driven solutions. Perform exploratory data analysis, feature engineering, model selection, and evaluation using real-world telecom datasets (structured and unstructured). Drive end-to-end ML solution deployment into production (CI/CD pipelines, model monitoring, scalability). Optimize model performance and latency in production, especially for real-time and edge applications. Evaluate and integrate new tools, platforms, and AI frameworks to advance Vi’s data science capabilities. Provide technical mentorship to junior data scientists and data engineers. Required Qualifications & Skills 8+ years of industry experience in Machine Learning, Deep Learning, and Advanced Analytics. Strong hands-on experience with GenAI models and frameworks (e.g., GPT, BERT, Llama, LangChain, RAG pipelines). Proficiency in Python, and libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers, etc. Experience in end-to-end model lifecycle management, from data preprocessing to production deployment (MLOps). Familiarity with cloud platforms like AWS, GCP, or Azure; and ML deployment tools (Docker, Kubernetes, MLflow, FastAPI, etc.). Strong understanding of SQL, big data tools (Spark, Hive), and data pipelines. Excellent problem-solving skills with a strong analytical mindset and business acumen. Prior experience working on Telecom datasets or use cases is a strong plus. Preferred Skills Experience with vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines. Exposure to real-time ML inference and streaming data platforms (Kafka, Flink). Knowledge of network analytics, geo-spatial modeling, or customer behavior modeling in a Telco environment. Experience mentoring teams or leading small AI/ML projects. Show more Show less

About SKF SKF started its operations in India in 1923. Today, SKF provides industry leading automotive and industrial engineered solutions through its five technology-centric platforms: bearings and units, seals, mechatronics, lubrication solutions and services. Over the years the company has evolved from being a pioneer ball bearing manufacturing company to a knowledge-driven engineering company helping customers achieve sustainable and competitive business excellence. SKF's solutions provide sustainable ways for companies across the automotive and industrial sectors to achieve breakthroughs in friction reduction, energy efficiency, and equipment longevity and reliability. With a strong commitment to research-based innovation, SKF India offers customized value-added solutions that integrate all its five technology platforms. To know more, please visit: www.skf.com/in About Technology Development The TD team for ISEA is focused on Customer Product development & Engineering, Innovation for the region, rollout of new technologies for the region, testing, Failure Investigation, scaleup from POC to series production, Portfolio Management etc. TD Competencies Engineering & Research Centre Product Development & Engineering – This division brings out conceptual/detailed designs to support BOH/ETO activities based on customer specifications. Technology trends like digitization of workflows, e- Aviation, Sensorization, Product localization, Design automation, Agile, DFX and Model based designs, (MBDs) have increased the operational efficiency and application productivity. What our customer gain from this is efficient digital data exchange, traceability and flexibility in design changes, reduced carbon footprint and higher performance products. Testing: Group Testing Services is a trusted partner in design, process and supplier validation. The testing team ensures greater focus on customer requirements, quality and operational efficiency. This entails greater support for SKF’s processes in a faster manner by applying global test standards, adapted to local customer specific requirements. Global Metallurgy & Chemistry Laboratory (GMC) Future Factory (Manufacturing 4.0) – Working on World class manufacturing – Lean, Green, Digital. Manufacturing Process & Development - We support factories in the areas of process development (Heat treatment), machine building, Advanced Manufacturing – HT simulations, Additive Manufacturing, Vision Inspection etc. We are working on building innovative solutions on machines (measurement/ assembly/ clean manufacturing) and focusing on Scaling technologies like 3D printing and Camera based Inspection system with automation. Connected Technologies- develop new products for connectivity and sustain it. We work on sensor technology and data integration. This help customer for predictive maintenance of their assets. SKF Purpose Statement Together, we re-imagine rotation for a better tomorrow. By creating intelligent and clean solutions for people and the planet JOB DESCRIPTION Job Title : Sr. Cloud Architect Reports To: Manager AI Role Type : Individual Contributor Location : Bangalore Role Purpose : As a Cloud Architect within our AI Center of Excellence, you will spearhead the design and implementation of robust, scalable, and secure cloud solutions—primarily on Azure—to drive AI innovation across the organization. You’ll work closely with cross-functional teams, leveraging your strong developer background to help architect, deploy, and integrate a wide range of services. You will ensure that our platforms and applications uphold the highest standards for security, performance, and reliability. This role is pivotal in shaping how our AI solutions operate at scale. Positioned within Technology Development, the AI Center of Excellence works globally to elevate AI maturity and drive digital transformation across the enterprise Key responsibilities: Cloud Architecture & Deployment Design, implement, and maintain Azure-based solutions, ensuring best practices in security, reliability, and performance. Oversee integrations with services such as Databricks, Azure AI Search, OpenAI Services, and SharePoint. Security & Networking Architect secure environments with a focus on identity management (e.g., Entra ID/SSO), network segmentation, and advanced threat protection. Implement best practices for data protection, monitoring, and incident response across cloud infrastructures. Developer Enablement Leverage your background in software development to review and sometimes contribute code, offering architectural guidance and hands-on support. Collaborate with development teams to establish and maintain DevOps pipelines, ensuring efficient builds, testing, and deployments. Integration & Support Provide technical leadership for setting up and managing integrations with various Azure services, Databricks, and enterprise systems like SharePoint. Guide teams in implementing single sign-on (SSO), data flows, and indexing strategies for services like Azure AI Search. Monitoring & Optimization Implement end-to-end monitoring, logging, and alerting solutions to ensure proactive performance tuning and immediate issue resolution. Continuously evaluate and optimize cloud resource usage, balancing cost-effectiveness with scalability. We Expect You to Have Bachelor’s degree in computer science, engineering, or a related field—or equivalent work experience. Extensive, hands-on Azure experience, including multi-year background in designing and deploying complex cloud environments. Strong developer background in languages such as C#, Python, or similar, enabling you to understand and occasionally contribute to codebases. Proven expertise in security, networking, and monitoring, with a track record of architecting secure solutions at scale. Experience with Databricks and OpenAI Services, particularly in data processing, analytics, and AI model deployment. Familiarity with Azure AI Search, including indexing strategies, relevance tuning, and security controls. Solid understanding of SSO solutions, including Entra ID, and practical know-how in integrating various enterprise systems (SharePoint, Databricks, etc.). Knowledge of DevOps practices, including CI/CD pipelines, IaC (Infrastructure-as-Code), and best practices for automated testing and deployments. Excellent communication skills to collaborate effectively with cross-functional teams and translate complex architectural requirements into actionable solutions. A background in AWS is a plus. Candidate Profile : Education: Bachelor’s degree in computer science, engineering, or a related field. Experience: Experience band: minimum 10 years. About SKF SKF has been around for more than a century and today we are one of the world’s largest global suppliers of bearings and supporting solutions for rotating equipment. With more than 40,000 employees in around 130 countries, we are truly global. Our products are found everywhere in society. In fact, wherever there is movement, SKF’s solutions might be at work. This means that we are an important part of the everyday lives of people and companies around the world. See more, at www.skf.com. Show more Show less

Job Title: Full Stack Developer – .NET (C#), Angular Experience: 3 to 8 years Location: Pune (5 days WFO) Employment Type: Full-Time About the Role: We seek a skilled and passionate Full Stack Developer with a strong background in .NET (C#) and Angular to join our growing team. You will be responsible for designing, developing, and maintaining robust web applications that deliver exceptional user experiences and meet high performance and scalability standards. Key Responsibilities: Design, develop, and maintain web applications using .NET Core / .NET Framework , C# , and Angular (8 or above) . Collaborate with cross-functional teams including product managers, UI/UX designers, and QA to translate business requirements into technical solutions. Develop and integrate RESTful APIs and web services. Write clean, scalable, and well-documented code following best practices. Participate in code reviews and mentor junior developers when needed. Optimize application performance and ensure responsiveness across platforms. Maintain version control using Git and support CI/CD processes. Troubleshoot, debug, and upgrade existing applications. Required Skills and Qualifications: 3–8 years of hands-on experience in .NET Core / .NET Framework , C# , and Angular (8+) . Proficient in HTML5, CSS, JavaScript, TypeScript , and modern front-end development practices. Strong understanding of Entity Framework / EF Core , LINQ , and SQL Server or other RDBMS. Solid understanding of OOP , MVC , and RESTful API design. Familiarity with architectural patterns such as MVC and Clean Architecture . Experience with Git , Agile/Scrum methodology, and tools like Azure DevOps . Solid understanding of security best practices and performance optimization. Preferred Skills (Nice to Have): Knowledge of Azure cloud services (App Services, Functions, Storage, etc.). Familiarity with microservices architecture. Working knowledge of AI tools and integrations (e.g., OpenAI, Azure AI, ChatGPT APIs). Experience using AI developer tools like GitHub Copilot , IntelliCode , or Replit Ghostwriter to boost productivity. Experience with unit testing frameworks like NUnit , or Jasmine/Karma for Angular. Exposure to containerization technologies like Docker and orchestration tools like Kubernetes . Knowledge of Artificial intelligence What We Offer: Competitive salary and benefits package. Opportunity to work on cutting-edge technologies. Collaborative and growth-focused culture. Continuous learning and upskilling opportunities. About Us: omniXM is a fast-growing Software as a Service company focused on helping service-oriented businesses with customer engagement solutions. We were born in the cloud and continue to grow by building scalable, agile, cloud-based solutions powered by the latest technology platforms in the mobile arena. Show more Show less

Prime is a cutting-edge Edtech startup focused on building intelligent, autonomous AI agents that collaborate in multi-agent systems. We create agent-based architectures that enable autonomous decision-making and seamless cooperation to solve complex problems. Join us to help pioneer the future of decentralized AI! We are a fast-growing Edtech company driven by innovation, collaboration, and adaptability. Our mission is to deliver cutting-edge solutions that align with market demands and technical feasibility. Role Overview As a Multi-Agent Systems Architect at Prime Corporate, you will design and develop multi-agent architectures that empower AI agents to work together autonomously. You will be responsible for creating scalable, robust systems that enable agents to communicate, negotiate, and collaborate effectively, driving innovation in AI-driven automation. Key Responsibilities • Design and implement multi-agent system architectures that enable autonomous decision- making and collaboration among AI agents. • Develop agent-based frameworks that support task allocation, communication protocols, and coordination strategies. • Build and optimize agent communication layers using APIs, vector databases, and messaging protocols. • Integrate large language models (LLMs) and other AI components into agent workflows to enhance capabilities. • working directly with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, etc.). • Collaborate closely with product, engineering, and research teams to translate business requirements into technical solutions. • Ensure scalability, reliability, and fault tolerance of multi-agent systems in production environments. • Continuously research and apply the latest advances in multi-agent systems, decentralized AI, and autonomous agents. • Document architecture designs, workflows, and implementation details clearly for team collaboration and future reference. What We’re Looking For: • Practical experience designing and building multi-agent systems or agent-based architectures. • Proficiency in Python and familiarity with AI/ML frameworks (e.g., LangChain, AutoGen, HuggingFace). • Understanding of decentralized control, agent communication protocols, and emergent system design. • Experience with cloud platforms (AWS, GCP, Azure) and API integrations. • Strong problem-solving skills and ability to work independently in a remote startup environment. • No formal degree required - your skills, projects, and passion matter most. Location - 100% Remote Experience - 0-1 year Compensation Structure : This role follows a structured pathway designed to prepare candidates for the responsibilities of a full-time position. • Pre-Qualification Internship (Mandatory): • Duration: 2 months • Stipend: ₹5,000/month • Objective: To evaluate foundational skills, work ethic, and cultural fit within the organization. • Internship (Mandatory) • Duration: 4 months • Stipend: ₹5,000–₹15,000/month (based on performance during the pre-qualification internship) Why Join Prime Corporate? • Work remotely with a passionate, innovative startup. • Contribute to pioneering multi-agent AI systems shaping the future of autonomous technology. • Grow your career from internship to full-time with competitive pay and equity opportunities. • Career Growth: Prove your potential and secure a full-time role with competitive compensation. Note: This is not a direct full-time job opportunity. Candidates must commit to our mandatory two- stage internship process. If you’re genuinely interested in joining us, we’d love to hear from you! Ready to build the future of autonomous AI? Apply now and join Prime Corporate mission! Show more Show less

About Neural Roots AI Neural Roots AI (https://neuralroots.ai), a subsidiary of Mindlinks Inc is an emerging force in AI consulting and solution delivery, helping global organizations harness the power of artificial intelligence for business transformation. Our expertise lies in building end-to-end AI products, RAG-based solutions, intelligent automation, and OCR/LLM-powered enterprise integrations. As we scale our impact across North America, Europe, and Asia-Pacific, we are looking for a Sales & Marketing Lead who will play a pivotal role in driving new business, building market presence, and shaping brand identity globally. 🌟 Why Join Us? Work at the frontier of AI-driven innovation Influence global go-to-market strategy for a high-growth startup Collaborate with visionary founders and a top-notch AI engineering team Build a brand that resonates with CxOs, enterprises, and tech influencers worldwide 🧑‍💼 Your Role As Sales & Marketing Lead , you will be the face and driver of Neural Roots AI’s growth engine. You’ll build, lead, and execute the strategy to attract enterprise clients, generate revenue, and strengthen our global brand. This is a strategic and execution-focused role, ideal for someone who thrives in fast-paced, entrepreneurial environments. 🎯 Key Responsibilities 1. Sales Strategy & Execution Own the end-to-end sales process: prospecting → pitching → proposal → closure Identify new business opportunities in target markets (US, Europe, APAC) Build and maintain relationships with CXOs, decision-makers, and procurement heads Achieve quarterly revenue targets through direct sales and channel partnerships 2. Marketing & Brand Leadership Develop and implement B2B marketing campaigns to position Neural Roots AI as a thought leader in AI consulting Oversee content strategy, email outreach, social media presence (esp. LinkedIn), and webinars Create sales and marketing collateral – pitch decks, case studies, capability brochures Own website messaging and SEO optimization in collaboration with designers 3. CRM, Analytics & Forecasting Implement CRM tools and lead funnel tracking Report key KPIs, revenue forecasts, and deal conversion metrics to leadership ✅ What We’re Looking For Must-Have Skills 5–10 years of experience in sales or marketing leadership roles in tech or AI services Strong background in selling AI, ML, or data-centric services to global enterprise customers Proven track record of closing $50k–$500k+ deals Experience in building marketing strategy and demand generation campaigns Excellent storytelling, presentation, and consultative selling skills Bonus Experience with early-stage startups or building GTM from scratch Familiarity with AI technologies such as LLMs, Generative AI, RAG, and AI integration tools Understanding of pricing models for AI consulting, SaaS, or hybrid service offerings Experience working with agencies and contractors (e.g., content, SEO, design) 🎓 Preferred Background Bachelor's or Master’s degree in Business, Marketing, Technology, or related field AI/Tech certifications or awareness of platforms like OpenAI, AWS AI/ML stack, LangChain, etc. 💼 What Success Looks Like (First 6–12 Months) Launch a qualified leads pipeline with 20–30 strong prospects Close first 3–5 global accounts with recurring consulting revenue Position Neural Roots as a credible AI services brand through content, events, and partnerships Set up CRM, sales reporting structure, and repeatable outreach playbooks 💰 Compensation & Growth Competitive base + performance-linked incentives Fast-track leadership growth in a scaling AI startup 📩 Ready to Shape the Future with AI? If you are a results-driven sales & marketing leader who thrives on building new markets and wants to shape the AI story for global enterprises — we’d love to meet you. Show more Show less

About Spyne At Spyne, we are transforming how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea—using AI-powered visuals to help auto dealers sell faster online—has now evolved into a full-fledged, AI-first automotive retail ecosystem. Backed by $16M in Series A funding from Accel, Vertex Ventures, and other top investors, we’re scaling at breakneck speed: Launched industry-first AI-powered Image, Video & 360° solutions for Automotive dealers Launching Gen AI powered Automotive Retail Suite to power Inventory, Marketing, CRM for dealers Onboarded 1500+ dealers across US, EU and other key markets in the past 2 years of launch Gearing up to onboard 10K+ dealers across global market of 200K+ dealers 150+ members team with near equal split on R&D and GTM Learn more about our products: Spyne AI Products - StudioAI , RetailAI Series A Announcement - CNBC-TV18 , Yourstory What are we looking for? We’re hiring a Product Manager to lead the development of AI-first applications powered by LLMs and intelligent agents. This role is central to our strategy—building cutting-edge conversational agents, automation tools, and AI-driven solutions for automotive dealers and buyers. You’ll work closely with Engineering, AI/ML, Design, and GTM teams to launch products that power Spyne’s growth from $5M to $20M+ ARR. From concept to adoption, you’ll own the full product lifecycle and help define the future of automotive retail. What will you do? Product Strategy & Vision – Define and execute the roadmap for LLM-powered applications and AI agents, aligning with market trends and user needs. AI Innovation – Drive cutting-edge applications like chatbots, decision-support systems, and task automation. Research & Experimentation – Collaborate with engineers and data scientists to fine-tune and deploy LLMs for real-world use cases. AI Agent Development – Build context-aware AI agents that integrate seamlessly into user workflows. User Experience & Adoption – Convert user pain points into intuitive, AI-driven solutions with explainable outputs. Cross-Functional Collaboration – Work with Engineering, Data Science, and Design teams to prototype and scale LLM-based features. Performance Metrics – Define and track KPIs such as accuracy, response time, and user engagement. Continuous Optimization – Enhance AI model efficiency and user satisfaction through iterative improvements. GTM Strategy & Execution - Craft the launch strategy with marketing, sales, and customer success. Drive beta adoption, pricing pilots, and success metrics tracking. What you must have? 3-4 years of product management experience in AI, SaaS, or data-driven products. Proven experience building or scaling LLM-powered applications (GPT, Claude, etc.). Strong familiarity with fine-tuning, prompt engineering, context management, and model evaluation. Ability to communicate AI concepts to non-technical stakeholders. Hands-on experience with Figma, Jira, and LLM APIs (OpenAI, Anthropic, Hugging Face). Data-driven mindset with a strong grasp of AI product metrics. Thrives in fast-paced, ambiguous environments. You’ll Thrive Here If You: Have 3-4 years of product management experience, ideally in SaaS, automotive tech, or AI-first platforms. Have built and scaled 0-to-1 or 1-to-10 products. Bonus if in a global/B2B context. Understand the power of GenAI/Computer Vision and have worked closely with ML teams. Think in systems and execute with urgency. Can ruthlessly prioritize, and are obsessive about user workflows and business impact. Why Join Us Category-defining Opportunity: Shape how cars are discovered, sold, and bought across the world using AI. Hyper-Growth Stage: Spyne is on track for 3x revenue growth this year. Global Reach: We’re expanding rapidly in the U.S., LATAM, MENA, and APAC. Fast, Flat, Founder-Led Culture: Get autonomy, ownership, and speed—all at once. If you're excited to shape the future of AI-powered automotive ret ail, join us at Spyne! 🚀 Show more Show less

About Us Craft Group is a global leader in designing and manufacturing thermal systems, refrigeration equipment, and custom-engineered components. With facilities across the U.S., Mexico, and Asia, we are scaling rapidly, and we’re looking for innovative minds to help us streamline our internal operations using automation and AI. The Opportunity We’re seeking a Business Automation & AI Integration Specialist to lead company-wide process improvement through automation, workflow digitization, and AI-based enhancements. This is a high-impact, cross-functional role reporting directly to senior leadership. You will work with tools like Zoho (Creator, Flow, CRM, Books), SAP, Google Workspace, Microsoft 365, ZAPIER and OpenAI/GPT, and other tools to eliminate manual work, enhance data flow, and improve decision-making speed across departments. Key Responsibilities Audit and map internal processes across departments (sales, production, HR, finance, QA, procurement, Engineering, and production.) Design and implement automation workflows using Zoho Flow , Zoho Creator , Microsoft Power Automate , or similar tools. Integrate Zoho , SAP , Google Workspace , and Microsoft tools into a connected workflow ecosystem Build AI-driven tools and scripts to automate reporting, document generation, task delegation, and more Collaborate with leadership to identify key bottlenecks and digitization opportunities Provide training and documentation for team adoption Manage internal project timelines and rollout schedules Ensure data security, compliance, and access control best practices across systems. Key Tools You Should Know Zoho Creator, Flow, CRM, Books, SAP, AiTools, Zappier SAP (basic understanding of workflows and data structure) Google Workspace (Apps Script a bonus) Microsoft Power Automate, Power BI, SharePoint Zapier, Make.com, or similar low-code automation tools OpenAI/ChatGPT APIs or AI-driven process tools (e.g., OCR, chatbot, auto-tagging). Required Qualifications 5–7 years of experience in business automation, digital transformation, or systems integration Proven ability to design and deploy cross-platform automation systems Hands-on experience with Zoho (especially Creator or Flow) Working knowledge of SAP workflows and integrations Experience with Google Apps Script and/or Microsoft automation tools Familiarity with using AI tools or APIs for productivity or process optimization Strong project management and documentation skills Excellent written and spoken English. Nice to Have Experience in a manufacturing or engineering environment RPA experience (UiPath, Automation Anywhere) Lean Six Sigma or process improvement certification Experience with SQL or basic backend logic (for data handling) Key Performance Indicators (KPIs) To ensure impact, we’ll measure success through these KPIs: # of Manual Processes Automated 7+ workflows automated within first 90 days Process Time Savings Achieve 25–40% time reduction on targeted processes within 6 months Adoption Rate of New Systems 80%+ user adoption of new tools/processes across relevant teams Error Reduction At least 50% reduction in errors or rework in automated workflows Cross-System Integrations Completed 3+ key integrations between Zoho, SAP, Google Drive, and Microsoft tools AI Tools Deployed Internally 2–3 internal AI-based tools rolled out (e.g., auto-reporting, smart forms) in 6 months Department Satisfaction Score Internal stakeholder rating of 8/10 or higher on automation support surveys What We Offer Competitive salary based on experience ($1,200.00) Full remote flexibility - PST TIME ZONE (some overlap with California time zone preferred) Performance bonuses tied to automation impact and KPIs Opportunity to work with senior leadership and directly influence the company’s digital evolution Long-term growth opportunities into Head of Digital Systems or Global IT roles Our Purpose "Why" We ignite the spark of creativity, transforming ideas into reality. We empower organizations to engineer innovative solutions that improve quality of life and lead to a better future for all. In our journey, we create positive lasting memories in all that we do. How we do it "How" We ignite the spark of creativity, transforming ideas into reality by cultivating a culture of listening, learning, and teaching, which produces a highly engaged workforce who live by our company’s values every day. Our Mission "What" Our mission is to be a trusted partner, working alongside our customers to deliver unique, high-value, sustainable integrated products that enable them to bring ideas to life. Do You Align with Our Values? Please, only consider employment with Craft Group if you feel as strongly about our values as we do: We live, breathe, and play by our values every day. Doing the right thing. Create positive, lasting memories, and relationships. Creating a better tomorrow. Commitment to family, friendship, and communities we serve. Nurturing individual growth as the building blocks of organizational success. Grow and secure the financial well being of Craft. Apply Now! Show more Show less

We are building the AI layer for global trade and compliance. We're now deploying customer-facing GenAI features — from document parsing to decision agents — and looking for a Senior AI Engineer to take our AI system reliability and scale to the next level. What You'll Be Doing Build and deploy production-grade GenAI features : RAG systems, agent flows, document intelligence Work across FastAPI , LangChain / LangGraph , vector DBs (Pinecone, FAISS), and OpenAI or OSS models Own reliability: chunking, cost optimization, fallback logic, prompt evaluation Collaborate closely with backend/product engineers to put GenAI in customer hands What We’re Looking For You've shipped customer-facing GenAI/ML systems , not just demos or research projects Strong Python backend (FastAPI preferred) Experience with LangChain / LangGraph / CrewAI Understanding of LLM integration, prompt lifecycle, and response evaluation Bonus: OCR, Whisper, voice agents, or doc QA experience About the Role Remote-first (India only) Report directly to founders Join a high-performing, fast-moving team shipping to real customers Compensation & Perks INR ₹30–40 LPA Company-covered work trips to San Francisco for team strategy, product planning, and customer exposure Show more Show less

OPENTEXT OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation. Your Impact We are seeking a skilled and experienced Software Engineer with expertise in Large Language Models (LLM), Java, Python, Kubernetes, Helm and cloud technologies like AWS. The ideal candidate will contribute to designing, developing, and maintaining scalable software solutions using microservices architecture. This role offers an exciting opportunity to work with cutting-edge technologies in a collaborative environment. What The Role Offers Design, develop, troubleshoot and debug software programs for software enhancements and new products. Integrate Large Language Models (LLMs) into business applications to enhance functionality and user experience. Develop and maintain transformer-based models. Develop RESTful APIs and ensure seamless integration across services. Collaborate with cross-functional teams to gather requirements and translate them into technical solutions. Implement best practices for cloud-native development using AWS services like EC2, Lambda, SageMaker, S3 etc. Deploy, manage, and scale containerized applications using Kubernetes (K8S) and Helm. Designs enhancements, updates, and programming changes for portions and subsystems of application software, utilities, databases, and Internet-related tools. Analyses design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. Collaborates and communicates with management, internal, and outsourced development partners regarding software systems design status, project progress, and issue resolution. Represents the software systems engineering team for all phases of larger and more-complex development projects. Ensure system reliability, security, and performance through effective monitoring and troubleshooting. Write clean, efficient, and maintainable code following industry standards. Participate in code reviews, mentorship, and knowledge-sharing within the team. What You Need To Succeed Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent. Typically, 3-5 years of experience Strong understanding of Large Language Models (LLM) and experience applying them in real-world applications. Expertise in Elastic Search or similar search and indexing technologies. Expertise in designing and implementing microservices architecture. Solid experience with AWS services like EC2, VPC, ECR, EKS, SageMaker etc. for cloud deployment and management. Proficiency in container orchestration tools such as Kubernetes (K8S) and packaging/deployment tools like Helm. Strong problem-solving skills and the ability to troubleshoot complex issues. Strong experience in Java and Python development, with proficiency in frameworks like Spring Boot or Java EE. Should have good hands-on experience in designing and writing modular object-oriented code. Good knowledge of REST APIs, Spring, Spring boot, Hibernate. Excellent analytical, troubleshooting and problem-solving skills. Ability to demonstrate effective teamwork both within the immediate team and across teams. Experience in working with version control and build tools like GIT, GitLab, Maven and Jenkins, GitLab CI. Excellent communication and collaboration skills. Familiarity with Python for LLM-related tasks. Working knowledge in RAG Experience working with NLP frameworks such as Hugging Face, OpenAI, or similar. Knowledge of database systems like PostgreSQL, MongoDB, or DynamoDB. Experience with observability tools like Prometheus, Grafana, or ELK Stack. Experience in working with event-driven architectures and messaging systems (e.g., Kafka, RabbitMQ). Experience with CI/CD pipelines, DevOps practices, and infrastructure as code (e.g., Terraform, CloudFormation). Familiar with Agile framework/SCRUM development methodologies One Last Thing OpenText is more than just a corporation, it's a global community where trust is foundational, the bar is raised, and outcomes are owned. Join us on our mission to drive positive change through privacy, technology, and collaboration. At OpenText, we don't just have a culture; we have character. Choose us because you want to be part of a company that embraces innovation and empowers its employees to make a difference. OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please contact us at hr@opentext.com. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace. 46998 Show more Show less

What makes Techjays an inspiring place to work: At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change. Our global team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises. Be part of a company that’s pushing the boundaries of digital transformation. At Techjays, you’ll work on exciting projects that redefine industries, innovate with the latest technologies, and contribute to solutions that make a real-world impact. Join us on our journey to shape the future with AI. We are looking for a mid-level AI Implementation Engineer with a strong Python background to join our AI initiatives team. In this role, you will help design and develop production-ready systems that combine information retrieval, vector databases, and large language models (LLMs) into scalable Retrieval-Augmented Generation (RAG) pipelines. You’ll work closely with AI researchers, backend engineers, and data teams to bring generative AI use cases to life across multiple domains. Key Responsibilities: Develop and maintain scalable Python services that implement AI-powered retrieval and generation workflows. Build and optimize vector-based retrieval pipelines using tools like FAISS , Pinecone , or Weaviate . Integrate LLMs via APIs (e.g., OpenAI, Hugging Face) using orchestration frameworks such as LangChain , LlamaIndex , etc. Collaborate on system architecture, API design, and data flow to support RAG systems. Monitor, test, and improve the performance and accuracy of AI features in production. Work in cross-functional teams with product, data, and ML stakeholders to deploy AI solutions quickly and responsibly. Requirements: 3–5 years of hands-on experience in Python development, with focus on backend or data-intensive systems. Experience with information retrieval concepts and tools (e.g., Elasticsearch, vector search engines). Familiarity with LLM integration or orchestration tools (LangChain, LlamaIndex, etc.). Working knowledge of RESTful API development, microservices, and containerization (Docker). Solid software engineering practices including Git, testing, and CI/CD pipelines. Nice to have: Exposure to prompt engineering or fine-tuning LLMs. Experience deploying cloud-based AI applications (AWS, GCP, or Azure). Familiarity with document ingestion pipelines and unstructured data processing. Understanding of MLOps tools and practices (e.g., MLflow, Airflow). What we offer: Best-in-class packages. Paid holidays and flexible time-off policies. Casual dress code and a flexible working environment. Opportunities for professional development in an engaging, fast-paced environment. Medical insurance covering self and family up to 4 lakhs per person. Diverse and multicultural work environment. Be part of an innovation-driven culture with ample support and resources to succeed. Show more Show less