4010 Openai Jobs - Page 29

As an AI Tester at Emerson, you will play a crucial role in ensuring the quality and reliability of AI-driven applications through various testing methods. You will collaborate closely with data scientists, software engineers, and other team members to enhance the performance and usability of AI applications. Your responsibilities will include designing and executing detailed test plans, conducting rigorous tests on AI-based applications, identifying and reporting defects, developing automated test scripts, preparing test data, performing different types of testing, and contributing to the improvement of QA processes and testing frameworks. You will need a Bachelor's degree with 2+ years of relevant experience or a Master's degree with 1+ year of relevant experience. Strong knowledge of AI technologies, machine learning frameworks, and NLP is essential, along with excellent English communication skills. Being a cross-functional, detailed, organized, and proactive teammate who is willing to accept feedback and implement changes promptly is crucial for success in this role. Additionally, you should be comfortable working in an Agile development environment, have a curiosity for software installation and configuration, and possess strong research skills. Preferred qualifications that set you apart include a Bachelor's degree in Computer Science or Engineering, 3+ years of experience in Quality Assurance testing for AI-based applications, knowledge of ethical AI principles, and proficiency with automated testing tools and AI platforms. This is a full-time position with a day shift schedule that requires in-person work at Matrix Tower, Pune, India.,

DecisionX is pioneering a new category with the world's first Decision AI, an AI Super-Agent that assists high-growth teams in making smarter, faster decisions by transforming fragmented data into clear next steps. Whether it involves strategic decisions in the boardroom or operational decisions across various departments like Sales, Marketing, Product, and Engineering, down to the minutiae that drives daily operations, Decision AI serves as your invisible co-pilot, thinking alongside you, acting ahead of you, and evolving beyond you. We are seeking a dedicated and hands-on AI Engineer to join our Founding team. In this role, you will collaborate closely with leading AI experts to develop the intelligence layer of our exclusive "Agentic Number System." Key Responsibilities - Building, fine-tuning, and deploying AI/ML models for tasks such as segmentation, scoring, recommendation, and orchestration. - Developing and optimizing agent workflows using LLMs (OpenAI, Claude, Mistral, etc.) for contextual reasoning and task execution. - Creating vector-based memory systems utilizing tools like FAISS, Chroma, or Weaviate. - Working with APIs and connectors to incorporate third-party data sources (e.g., Salesforce, HubSpot, GSuite, Snowflake). - Designing pipelines that transform structured and unstructured signals into actionable insights. - Collaborating with GTM and product teams to define practical AI agent use cases. - Staying informed about the latest developments in LLMs, retrieval-augmented generation (RAG), and agent orchestration frameworks (e.g., CrewAI, AutoGen, LangGraph). Must Have Skills - 5-8 years of experience in AI/ML engineering or applied data science. - Proficient programming skills in Python, with expertise in LangChain, Pandas, NumPy, and Scikit-learn. - Experience with LLMs (OpenAI, Anthropic, etc.), prompt engineering, and RAG pipelines. - Familiarity with vector stores, embeddings, and semantic search. - Expertise in data wrangling, feature engineering, and model deployment. - Knowledge of MLOps tools such as MLflow, Weights & Biases, or equivalent. What you will get - Opportunity to shape the AI architecture of a high-ambition startup. - Close collaboration with a visionary founder and experienced product team. - Ownership, autonomy, and the thrill of building something from 0 to 1. - Early team equity and a fast growth trajectory.,

You will be joining Illumina, a leading developer, manufacturer, and marketer of life science tools and integrated systems dedicated to making genomics useful for all. Illumina's integrated Indian global hub in Bengaluru, Illumina India Biotechnology Private Limited, is focused on technology activities that will help usher in the next wave of innovation in healthcare and medical research. If you are eager to work on challenging projects that use cutting-edge technology to transform the future of healthcare, this is your chance to join a truly remarkable team. As an Intelligent Automation Engineer, you will be a part of the Global Operations Data and AI team that provides management and support of tools/services to users across supply chain, quality, and manufacturing organizations. Your responsibilities will include delivering and supporting Intelligent Automation Solutions based on UiPath, OpenAI, PowerApps, or related AI/Automation Tools. You may need to perform business process analysis, application configuration, application integrations, end-user support, and solve complex technical problems. Your key responsibilities will include working as part of Agile scrum teams to design, implement, and test solutions supporting business needs across our Automation, AI, and Custom Apps portfolio. You will deliver architecture, designs, and implementations, participate in all aspects of the agile development process, create and execute unit tests, troubleshoot and resolve software defects, and contribute to software design reviews and code reviews. Additionally, you will provide general to complex technology support, independently debug and resolve complex application issues, provide application best practice guidance to end users, manage application functionality updates, integrations, configurations, releases, and security settings, work on sustaining issues, enhancements, and projects, and develop, update, and implement policies and procedures to maintain best practices. The preferred experience, education, and skills for this role include a Bachelor's degree in computer science or Engineering (Master's preferred), at least 3 years of experience with strong technical and functional experience in hands-on application support, administration, configurations, integration, enhancements, and project work. Experience using commercially available solutions like UiPath and Microsoft Power Apps is required, and experience with AI/Gen AI applications (LLMs, Prompt Engineering) is a plus. You should have strong technical experience in hands-on application administration and configuration of both on-premises and cloud-delivered services, experience in a fast-paced, global, corporate environment, eagerness to learn new technology and processes, ability to analyze technical and data problems and propose solutions, excellent oral and written communication skills, API and scripting experience, ability to interface well with cross-functional teammates, and change control experience in an FDA regulated environment. This position typically requires a Bachelor's degree and a minimum of 2 years of related experience, an advanced degree without experience, or equivalent work experience. You should be willing to work in shifts to support US business stakeholders (night shift not required).,

4+ years of experience in Java development with Spring Boot. Experience integrating AI/ML models into backend systems. Must have experience in any of the GenAI tools like Bedrock/ OpenAi/Tensorflow/Ai21/Anthropic/Cohere/Stability OR Scikit-Learn Strong understanding of RESTful API design and microservices. Familiarity with AI/ML tools and frameworks (e.g., Python, TensorFlow, Scikit-learn). Experience with cloud platforms (AWS, GCP, or Azure). Knowledge of containerization (Docker, Kubernetes) and event-driven architectures. Preferred Qualifications Experience with GenAI platforms (e.g., AWS Bedrock, OpenAI) Understanding of MLOps practices and model lifecycle management. Bachelors or Masters degree in Computer Science, Engineering, or related field.

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,

The job is for an AI and Machine Learning Developer position located in Coimbatore. As an AI and Machine Learning Developer, your primary responsibilities will include designing, developing, and implementing machine learning algorithms and AI solutions. Collaboration with data scientists, data collection, analysis, training and evaluation of machine learning models, and optimizing solutions for performance and scalability are key aspects of this role. It is important to stay updated with the latest advancements in AI and machine learning and incorporate new techniques into ongoing projects. To be eligible for this role, you should have at least 4 years of experience as an AI and Machine Learning Developer, strong programming skills in Python (knowledge of JavaScript or other languages is a plus), a solid understanding of machine learning fundamentals and data pipelines, and practical experience with APIs from platforms such as OpenAI, Google Cloud, or Azure. You should be able to work effectively both independently and as part of a team in a dynamic work environment. Additional skills that would be advantageous for this role include working with LLMs (Large Language Models) and exposure to prompt engineering or generative AI.,

Are you a curious mind eager to build real-world AI solutions At Cygnus, we are on the lookout for smart interns ready to innovate with GenAI. You will have the opportunity to work directly with our CTO and product teams to prototype, fine-tune models, and solve practical business challenges using the latest AI tools. This is a paid internship with a path to full-time employment. As a selected intern, your day-to-day responsibilities will include building and deploying AI/ML models for internal tools and client-facing solutions. You will also get to explore and experiment with LLMs such as OpenAI, Ollama, Cohere, etc. Additionally, you will be automating workflows using Python, LangChain, n8n, or similar platforms. Your role will involve researching new GenAI techniques and applying them to our product stack. Collaboration with Sales, Ops, and Supply teams to ship rapid MVPs will also be a key part of your responsibilities. If you are passionate about AI and excited to shape the future of travel, we would love to hear from you. Let's build something amazing together. Good luck! :) About Company: Cygnus is a Pune-based AI-driven Corporate Travel Management Company that is revolutionizing how businesses manage travel. We exclusively work with corporates, offering a comprehensive one-stop solution for all their travel needs - from flights and hotels to visa, MICE, and cab bookings. Our mission is to replace outdated travel processes with a streamlined, tech-savvy approach that solves real-world challenges faced by travel managers. Backed by strong industry connectivity, a skilled professional team, and a commitment to continuous improvement, Cygnus is redefining corporate travel with innovation and efficiency at its core.,

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in testing and debugging processes to deliver high-quality applications that meet user expectations and business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Strong understanding of application development frameworks and methodologies. - Experience with database management and SQL. - Familiarity with version control systems such as Git. - Knowledge of software testing and debugging techniques. Roles & Responsibilities: - Strong hands-on experience with Python 4+, writing clean, modular, and testable code, and building asynchronous APIs using FastAPI, leveraging async/await, Starlette, and Pydantic for validation. Skilled in handling large datasets using pagination, streaming responses, and batching techniques, with lazy loading, and session management using SQLAlchemy for efficient PostgreSQL interaction. Proficient in background task processing using FastAPI's Background Tasks , and implementing unit/integration tests with pytest, httpx, and pytest-asyncio to ensure backend reliability and performance. Experienced in prompt engineering for OpenAI/GPT APIs, including crafting closed-ended and open-ended prompts, understanding context window limits (16k/32k), prompt truncation, rate-limiting, token usage tracking, and sending chunked JSON payloads for model consumption. Working knowledge of Dockerizing FastAPI apps, deploying with multi-stage builds, integrating CI/CD pipelines using GitHub Actions., 15 years full time education

AI DEVELOPER LLM SPECIALIST Full-time Company Description RMgX is a Gurgaon based digital product innovation & consulting firm. Here at RMgX, we design and build elegant, data-driven digital solutions for complex business problems. At the core of solutions crafted by us is a very strong user experience practice to deeply understand the goals and emotions of business and end-users. RMgX is driven by a passion for quality and we strongly believe in our people and their capabilities. For more details visit https://www.rmgx.in/ Duties And Responsibilities Design, develop, and deploy AI solutions using Large Language Models (LLMs) such as GPT, LLaMA, Claude, or Mistral. Fine-tune and customize pre-trained LLMs for business-specific use cases. Build and maintain NLP pipelines for classification, summarization, semantic search, etc. Build and maintain vector database pipelines using Milvus, Pinecone, etc. Collaborate with cross-functional teams to integrate LLM-based features into applications. Analyze and improve model performance using appropriate metrics. Stay up-to-date with AI/ML research and integrate new techniques as appropriate. WORK EXPERIENCE 12 years of experience in AI/ML development with specific focus on NLP and LLM-based applications. Skills, Abilities & Knowledge Strong hands-on experience in Python and AI/ML libraries (HuggingFace Transformers, LangChain, PyTorch, TensorFlow, etc.) Proficiency in working with closed-source models via APIs (e.g., OpenAI, Gemini) Understanding of prompt engineering, embeddings, and vector databases like FAISS, Milvus or Pinecone. Experience in deploying models using REST APIs, Docker, and cloud platforms (AWS/GCP/Azure) Familiarity with MLOps and version control tools (Git, MLflow, etc.) Knowledge of LLMOps platforms such as LangSmith, Weights & Biases is a plus Strong problem-solving skills, a keen eye for detail, and ability to work in an agile setup. Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Additional Information Perks And Benefits Flexible working hours Saturday and Sundays are fixed off Health Insurance and Personal Accident Insurance BYOD (Bring Your Own Device) Benefit Laptop Buyback Scheme

Key Responsibilities Strategic Leadership: Define and articulate the AI/ML vision and strategy for the company, ensuring alignment with overall business goals. Identify new opportunities to leverage AI/ML to drive innovation, efficiency, and revenue growth. Team Management & Mentorship: Lead, mentor, and grow a high-performing team of data scientists and machine learning engineers. Foster a culture of collaboration, innovation, and continuous learning. Provide technical guidance and career development support to team members. End-to-End Project Ownership: Oversee the entire lifecycle of AI/ML projects, from ideation and requirements gathering to model development, deployment, and monitoring. Ensure projects are delivered on time, within budget, and to the highest quality standards. Technical Architecture & Development: Provide hands-on technical leadership in the design and architecture of scalable and production-ready AI/ML solutions. Stay current with the latest advancements in the field and guide the team in adopting best practices for model development, MLOps, and data governance. Cross-Functional Collaboration: Work closely with product managers, software engineers, and business stakeholders to identify and prioritize AI/ML use cases. Effectively communicate complex technical concepts and project outcomes to both technical and non-technical audiences. Model Governance & Ethics: Establish and enforce standards for model validation, performance monitoring, and ethical AI. Ensure our models are fair, transparent, and compliant with relevant regulations. Required Skills & Qualifications Educational Background: Degree in Computer Science or Maths, Artificial Intelligence, Statistics, or a related quantitative field. Professional Experience: A minimum of 10 years of professional experience in data science and machine learning, with at least 3-4 years in a leadership or management capacity. Proven Expertise: Demonstrated experience in developing and deploying a wide range of machine learning models, including but not limited to deep learning (CNNs, RNNs, Transformers), natural language processing (NLP), computer vision, and reinforcement learning. Technical Proficiency: Expert-level programming skills in Python. Extensive experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Strong experience with cloud platforms (AWS, Azure, or GCP) and their respective ML services (e.g., SageMaker, Azure ML, Vertex AI). Solid understanding of MLOps principles and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes). Proficiency in data manipulation and analysis using SQL and libraries like Pandas and NumPy. Leadership Acumen: Proven ability to lead and inspire technical teams. Excellent project management, communication, and interpersonal skills. Preferred A portfolio of patents or publications in reputable AI/ML journals or conferences. Experience working in a fast-paced, agile environment. Familiarity with big data technologies like Apache Spark or Hadoop. Experience with building and scaling AI solutions for [mention your specific industry, e.g., FinTech, Healthcare, E-commerce].

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure OpenAI Service Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Lead, you will be responsible for leading the effort to design, build, and configure applications using Azure AI Services, Microsoft Azure OpenAI Service and Azure PaaS components. Your typical day will involve collaborating with cross-functional teams, managing project timelines, and ensuring the successful delivery of high-quality applications. Roles & Responsibilities: - Lead the design, development, and deployment of applications using Microsoft Azure OpenAI Service, Azure AI Search (Cognitive Search), Azure Language Services (CLU), Microsoft Bot Framework/ Microsoft Power Virtual Agents (Microsoft Copilot Studio) and Azure PaaS. - Act as the primary point of contact for the project, collaborating with cross-functional teams to ensure project timelines are met. - Ensure the successful delivery of high-quality applications, adhering to best practices and industry standards. - Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and growth. - Stay updated with the latest advancements in Microsoft Azure OpenAI Service, Azure AI Search (Cognitive Search) and Azure Language Services (CLU) integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Strong experience with Microsoft Azure OpenAI Service, Azure AI Search (Cognitive Search), Azure Language Services (CLU) and Azure PaaS including API Management, Key Vault and Application Insights. - Must To Have Skills: At least 1+ year hands on experience in Azure based LLMs with knowledge in embeddings/vectorization and semantic/vector based indexing and search. Strong experience in LLM frameworks such as Langchain and Semantic Kernel. -Must to Have Skills: Experience with conversational AI with Microsoft Bot Framework or Power Virtual Agents (Microsoft Copilot Studio). Should have experience in integrating chatbot solutions with multiple channels. - Must To Have Skills: Strong understanding of software development best practices including Agile methodologies and industry standards with special focus on API, function app and logic app building. Experience with Python programming language, using Visual Studio Code IDE and Azure AI Studio. - Good To Have Skills: Knowledge of other vector databases, Knowledge Graphs and other programming languages such as C#. Experience with different LLMs such as Llama, Mistral etc. - Good To Have Skills: Experience with deployment of applications and containerization technologies such as Docker or Kubernetes. Good To Have Skills: Experience with all Azure AI services like Video Indexer, Computer Vision, Custom Vision, Document Intelligence. - Experience with database technologies such as SQL Server and Cosmos DB. - Solid grasp of software testing and quality assurance principles. - Knowledge of DevOps practices. Additional Information: - The candidate should have a minimum of years of experience in software development. - The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions. - This position is based at our Bengaluru office.

About the Company: Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Website https://www.teksystems.com/en/careers-in-india Position Summary: We are seeking a highly skilled and experienced AI/ML Engineer with 3-5 years of hands-on experience in developing and deploying advanced AI solutions, specifically focusing on Generative AI and Agentic AI. The ideal candidate will possess a strong understanding of large language models (LLMs), prompt engineering, and the principles behind building autonomous AI agents capable of reasoning, planning, and taking actions to achieve complex objectives. You will be instrumental in designing, implementing, and integrating these cutting-edge AI systems on leading cloud platforms (AWS, Azure, or GCP). Key Responsibilities: • Generative AI Development: Design, develop, and implement advanced generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) for diverse applications such as content creation, code generation, data synthesis, or other relevant domains. • Agentic AI System Design & Implementation: Architect, develop, and deploy autonomous AI agents capable of breaking down complex goals, making decisions based on context, interacting with external tools and APIs, and taking multi-step actions to achieve objectives with minimal human intervention. • Prompt Engineering & Orchestration: Master prompt engineering techniques to optimize the behavior and output of LLMs and design sophisticated orchestration mechanisms for coordinating multiple AI agents in complex workflows. • Cloud Platform Deployment: Leverage expertise in AWS, Azure, or GCP to deploy, manage, and scale Generative and Agentic AI models and pipelines. Utilize relevant cloud services (e.g., AWS SageMaker, Azure ML, Google AI Platform, Kubernetes, serverless functions, MLOps tools). • Model Training & Optimization: Train, fine-tune, and optimize generative and agentic AI models for performance, scalability, reliability, and efficiency, utilizing large datasets and advanced techniques. • Tool Integration for Agents: Integrate AI agents with various external tools, APIs, and data sources to expand their capabilities and enable them to interact with real-world systems. • Data Management for AI: Work with large and diverse datasets, including data collection, cleaning, transformation, and feature engineering, to ensure high-quality input for both generative and agentic models. This includes handling unstructured data (PDFs, HTML, audio, video) for processing. • Research & Innovation: Stay abreast of the latest advancements in Generative AI, Agentic AI, LLMs, and multi-agent systems research. Experiment with new frameworks (e.g., LangChain, AutoGen, CrewAI, LangGraph, Semantic Kernel) and identify opportunities to apply novel techniques. • MLOps & Productionization: Implement robust MLOps practices for the full lifecycle of AI models, including versioning, continuous integration/continuous delivery (CI/CD), monitoring, and automated retraining. Ensure the reliability and scalability of deployed AI systems. • Evaluation & Responsible AI: Develop and implement rigorous evaluation frameworks for assessing the performance, safety, and ethical implications of generative and agentic AI systems. Promote and adhere to principles of responsible AI development. • Collaboration & Communication: Collaborate effectively with cross-functional teams (data scientists, software engineers, product managers, business stakeholders) to translate business requirements into technical solutions and communicate complex AI concepts clearly. Required Skills & Qualifications: • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field. • 3-5 years of hands-on experience in AI/ML engineering, with a demonstrable focus on Generative AI and/or Agentic AI projects. • Strong practical experience with Generative AI models (e.g., LLMs, Transformers, GANs, Diffusion Models) and their applications. • Hands-on experience in designing, building, and deploying autonomous AI agents or multi-agent systems, utilizing frameworks like LangChain, AutoGen, CrewAI, or LangGraph. • Proficiency in Python and strong experience with major ML frameworks such as TensorFlow, PyTorch, or Keras. • Demonstrated experience with prompt engineering techniques for optimizing LLM behavior. • Proven ability to deploy and manage AI/ML solutions on at least one major cloud platform: o AWS: Experience with services like SageMaker, EC2, Lambda, Bedrock, Open Search. o Azure: Experience with Azure Machine Learning, Azure Functions, Azure OpenAI Service. o GCP: Experience with Google AI Platform (Vertex AI), Cloud Functions. • Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques (e.g., RAG). • Familiarity with containerization technologies (Docker, Kubernetes). • Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management. • Excellent problem-solving, analytical, and critical thinking skills. • Strong verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences. Preferred Skills (Nice to Have): • Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Azure AI Search) and knowledge graphs. • Familiarity with full-stack development, including building RESTful APIs using frameworks like FastAPI, Flask, or Django. • Experience with model evaluation tools like DeepEval, FMeval, or RAGAS. • Knowledge of prompt engineering frameworks (e.g., LangChain, LlamaIndex). • Knowledge of reinforcement learning and multi-agent reinforcement learning. • Contributions to open-source AI projects or relevant publications. • Experience with data orchestration tools (e.g., Apache Airflow).

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About the Role: ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Responsibilities: Part of a team (BA/PO, Developers, SDETs etc) that develops enterprise software applications. Understand the business requirements and design, development/coding aspects. Participate in the complete development life cycle. Design and Implement test strategy, test plan, test cases, test automation and execution. Focus on validating the functionality, performance and reliability of AI/ML models. Evaluate various aspects of AI/ML models, including functionality, performance, accuracy, bias, robustness and safety. Track model performance, identify issues and provide regular reports on quality and reliability Craft and refine the prompts or instructions to guide, develop the Generative AI models Strive for self-excellence along with enabling success of the team/stakeholders. Requirements: 2 to 6 years of experience with enterprise software product development lifecycle/phases. Blend of software testing experience with strong knowledge of AI/ML concepts, tools, frameworks. Strong understanding of Generative AI model algorithms, training and deployment processes. Experience in evaluating model performance using metrics like Accuracy, Precision, Recall, F1-Score, Latency, Stress etc Experience in prompt engineering and assessing models for bias, fairness and ethical concerns. Experience in validating data quality and integrate throughout the model development lifecycle. Experience in crafting and refining prompts to guide Large Language Models (LLM) and Small Language Models (SLM) Experience in Python programming and tools like OpenAI, TensorFlow, PyTorch, DialogFLow etc. Experience in integrating testing processes into CI/CD pipelines. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and innovative AI/ML Engineer to join our team. This role focuses on designing, developing, and deploying cutting-edge solutions using Generative AI (GenAI), Large Language Models (LLMs), Machine Learning Models and Azure OpenAI Services. Primary Responsibilities Design and implement AI/ML models with a focus on GenAI, LLMs, ML models, RAG architectures Develop and fine-tune Bots (Chat/Voice) Integrate AI solutions into enterprise applications using Azure AI and App Services Collaborate with cross-functional teams to define use cases and deliver AI-powered features Develop and maintain Solid relationships with stakeholders, customers, and partners internally and externally Ensure responsible AI practices, including bias mitigation, explainability, and compliance Monitor model performance and retrain as needed to maintain accuracy and relevance Stay up to date with the latest AI and machine learning technologies and trends Conduct evaluations and assessments of new tools and technologies to ensure that the team stays at the frontier of Artificial Intelligence & Machine Contribute to internal AI/ML knowledge sharing and mentoring initiatives Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s degree in computer science/IT/Math/Statistics/Engineering, or equivalent work experience 7+ years of overall experience with 5+ years of experience in AI/ML Healthcare Industry experience Experience leading and implementing AI/ML projects with demonstrable value to the organization, from ideation to delivery and evaluation Hands-on experience with GenAI tools, LLMs (eg, GPT, LLaMA), and RAG pipelines Knowledge of ethical AI principles and responsible AI deployment strategies Solid programming skills in Python and experience with ML frameworks (eg, PyTorch, TensorFlow) Proficiency in Azure OpenAI Services, Azure Machine Learning Familiarity with prompt engineering, semantic search, and vector databases Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven good conflict management and prioritization skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #NIC

Key Responsibilities Design, develop, and deploy machine learning models for speech recognition and audio processing . Customize and fine-tune models using TensorFlow , focusing on training and evaluation pipelines. Work with OpenAIs Whisper ASR model, adapting it for specific use cases and datasets. Build robust and scalable data pipelines for preprocessing audio and text data. Collaborate with data scientists, backend engineers, and product teams to deliver ML-powered features. Optimize models for performance, accuracy, and latency in production environments. Stay up-to-date with advancements in deep learning, speech recognition, and ASR frameworks. Preferred candidate profile 5+ years of experience in Machine Learning or Deep Learning, preferably in production environments. Strong programming skills in Python and familiarity with modern Python ML libraries. Hands-on experience with TensorFlow , including custom model building and training. Familiarity with audio processing libraries (e.g., librosa, torchaudio) is a plus. Solid understanding of ML best practices, including data preprocessing, model evaluation, and deployment. Experience with tools such as Git, Docker, and cloud platforms (AWS/GCP) is a bonus. Bachelors or Master’s degree in Computer Science, Machine Learning, or a related field.

Responsibilities: * Design, develop, test & maintain backend systems using Node.JS, ExpressJS, FastAPI & Python. * Collaborate with cross-functional teams on project delivery within AWS environment. Work from home Leave encashment

Job Title: Java Developer for AI Applications Location: Jaipur, India Experience: 3+ Years Job Overview: We are seeking a skilled Java Developer to join our team to build Retrieval-Augmented Generation (RAG) chatbots leveraging OpenAI APIs as well as self-hosted large language models like LLaMa. The developer will be responsible for designing and implementing chatbot solutions that integrate AI models effectively and are deployed on Virtual Machines. This role requires a blend of strong Java backend development experience along with hands-on knowledge of AI/ML model integration and cloud/virtual environment deployment. Key Responsibilities: Design, develop, and maintain Java-based chatbot applications using RAG architecture. Integrate OpenAI APIs and/or self-hosted LLaMa models into chatbot backend services. Deploy and manage applications on Virtual Machines ensuring scalability and performance. Collaborate with AI/ML and DevOps teams to optimize chatbot accuracy and efficiency. Write clean, maintainable, and efficient code following best practices. Troubleshoot, debug, and upgrade existing chatbot applications. Document development processes, architecture, and APIs. Stay updated on emerging AI technologies to incorporate improvements. Required Skills & Qualifications: Bachelors degree in Computer Science, Engineering, or related field. 3+ years of professional experience in Java development. Strong proficiency in Java SE and experience with Java frameworks (Spring, Spring Boot). Experience integrating RESTful APIs, especially OpenAI or similar AI service APIs. Experience in building/working with E2E Java application with web UI Familiarity with NLP concepts and foundational knowledge of large language models such as LLaMa or GPT. Experience in deploying applications on Virtual Machines (Linux/Windows environments). Good understanding of JSON, HTTP, and other communication protocols used in web services. Ability to write unit and integration tests and maintain CI/CD pipelines. Strong problem-solving skills and ability to work collaboratively in a team environment. Nice to Have: Experience with containerization technologies like Docker and orchestration tools like Kubernetes. Prior exposure to self-hosted AI models and managing model inference pipelines. Knowledge of cloud platforms (AWS, Azure, or Google Cloud) for VM and application management. Experience with database technologies like MySQL, PostgreSQL, or NoSQL options. Familiarity with front-end technologies for chatbot UI integration (React, Angular). Understanding of security best practices in AI applications and API integration. Thanks & Regards Sulabh Tailang HR-Talent Acquisition Manager |Celebal Technologies |91-9448844746 Sulabh.tailang@celebaltech.com|LinkedIn-sulabhtailang |Twitter-Ersulabh Website-www.celebaltech.com

We are seeking a highly skilled and passionate Senior Solution Architect – Generative AI to join our team and lead the design and implementation of cutting-edge AI solutions. This role is ideal for a seasoned professional with extensive experience in AI/ML development and architecture, a deep understanding of generative AI technologies, and a strategic mindset to align innovations with business requirements. Responsibilities Develop and oversee architectural designs for generative AI models, frameworks, and solutions tailored to business needs Design scalable pipelines for integrating and deploying generative AI solutions in alignment with enterprise architecture Perform in-depth research to stay current on advancements in generative AI, including GPT, DALL-E, and Stable Diffusion to evaluate their applicability Collaborate with stakeholders to assess business requirements and translate them into concrete AI strategies and actionable implementation plans Lead the end-to-end development, testing, and deployment of generative AI systems, acting as a technical guide for teams Advocate for the adoption of best practices, tools, and frameworks to enhance enterprise AI capabilities Create APIs and services to integrate generative AI tools within business workflows or customer-facing platforms Work closely with data engineers and scientists to ensure high-quality data preprocessing for AI model training Implement responsible AI protocols to address governance, ethical usage, and regulatory compliance Identify and mitigate data biases, ensuring data privacy and security concerns are addressed Act as a mentor for junior AI developers and other cross-functional team members in understanding generative AI technologies Facilitate cross-disciplinary collaboration with data scientists, engineers, product managers, and business stakeholders to drive project success Benchmark emerging generative AI tools like OpenAI models, Hugging Face, and custom-built frameworks for potential integration and improvements Conduct periodic evaluations of deployed AI systems, recommending adjustments and enhancements for improved operational efficiency Requirements 15-23 years of overall IT experience with at least 5+ years of proven experience in AI/ML development or architecture roles Background in designing and implementing generative AI solutions, including areas like NLP, computer vision, or code generation Familiarity with foundational models such as GPT, BERT, and their customization for enterprise use cases Knowledge of AI/ML frameworks/tools such as TensorFlow, PyTorch, or Hugging Face models Skills in cloud platforms (AWS, Azure, Google Cloud) and container platforms like Docker or Kubernetes Proficiency in Python, R, or similar programming languages for building generative AI solutions Understanding of MLOps principles, pipeline orchestration tools (Kubeflow, Airflow), and CI/CD practices Expertise in responsible AI governance, ethical frameworks, and compliance with data privacy regulations Capability to collaborate with multidisciplinary teams to align AI strategies with organizational goals

This role is for one of Weekday's clients Min Experience: 2 years Location: Remote (India) JobType: full-time Requirements About the role We are seeking a talented Gen AI Developer with at least 2 years of experience in NLP and Generative AI development. You'll work on building and enhancing AI-driven features - chatbots, QA agents, and smarter reporting assistants - using tools like LangGraph, LangChain, OpenAI, and Hugging Face. Experience in Django-based chatbot deployment and programmatic marketing is a strong plus. Responsibilities: Design, develop, and deploy NLP and generative AI models using LangGraph, LangChain, OpenAI GPT series, and Hugging Face Transformers Integrate AI workflows to power conversational agents for campaign QA, reporting prompts, and performance recommendations Collaborate with product and data teams to embed GenAI features into AtomicAds' core platform Build and maintain chatbot solutions using Python and Django for user interactions and dashboard integrations Optimize AI pipelines for scalability, latency, reliability, and cost-efficiency Implement model monitoring and evaluation tools to ensure performance and fairness Ensure secure, compliant deployment of models and APIs Maintain clear documentation, testing strategies, and version control Requirements: Experience: Minimum 2 years in NLP and GenAI development Technical Skills: Proficient in Python, with deep experience in AI frameworks: LangGraph, LangChain, OpenAI API, Hugging Face. Hands-on experience building chatbot/service layers using Django or similar Python web frameworks AI Competency: Strong grasp of LLM architectures, prompt engineering, model fine-tuning, and evaluation Software Engineering: Demonstrated ability to write clean, modular, and testable code Collaboration and Communication: Ability to work in small teams, with clear written and verbal communication Bonus: Experience with programmatic advertising, DSPs, or marketing automation Familiarity with cloud platforms (AWS, GCP, Azure) for AI workloads Knowledge of MLOps, Docker, Kubernetes, or CI/CD pipelines

Prompt Engineer We are looking for a Prompt Engineer to join our delivery team and take ownership of prompt design, optimization, and context structuring in out Agentic AI Projects. You will work closely with data engineers, frontend/backend developers, and domain SMEs to ensure the AI produces accurate, relevant, and useful outputs in response to financial queries. Key Responsibilities: Design, develop, and iteratively improve prompts for financial query handling, chart generation, and narrative explanation. Structure context for LLM calls using metadata, schema details, cube hierarchies, and user query history. Optimize prompt formats for different use cases: summaries, comparative analysis, simulations, and forecast scenarios. Collaborate with SMEs to translate business questions into structured prompt frameworks and test sets. Build and test prompt pipelines using RAG techniques with financial datasets and document sources. Monitor LLM outputs for accuracy, completeness, and business alignment; propose corrections and enhancements. Work with the development team to integrate prompt logic into API endpoints and UI workflows.. Requirements: 2+ years of experience in prompt engineering, NLP, or working with LLMs (e.g., GPT-4, Azure OpenAI). Strong understanding of prompt composition strategies (system prompts, few-shot, chain-of-thought, etc.). Experience working with financial or business data (KPIs, variance reports, financial statements, etc.). Familiarity with tools like LangChain, Azure AI Foundry, or custom RAG implementations. Comfortable reading data schemas (Power BI datasets, OLAP cubes) and using them to craft contextual prompts. Basic knowledge of Python, JSON, and APIs. Excellent communication skills and attention to detail. Ability to collaborate cross-functionally with engineers and finance SMEs. Excellent communication skills Good to have: Experience with Azure cloud services Experience with Azure Foundry & Prompt flow Location: Bangalore

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM