479 Genai Jobs - Page 3

You have accumulated over 10 years of experience as a Product Manager/Product Owner, with a minimum of 2 years specifically in AI/ML product ownership. As an experienced Product Owner, you will be responsible for leading the vision, strategy, and implementation of our AI-based Test Intelligence Platform. This platform is designed to transform software testing through the utilization of AI/ML, data analytics, and automation to offer actionable insights, test generation, predictive testing, risk-based prioritization, and intelligent regression strategies. Your key responsibilities will include defining and managing the product roadmap, backlog, and feature prioritization based on customer requirements, business objectives, and AI capabilities. Collaboration with cross-functional teams, such as AI/ML engineers, QA, DevOps, and UX, will be essential to translate requirements into scalable product features. You will drive the discovery, definition, and delivery of features like test generation, test impact analysis, flaky test detection, root cause analytics, and automated risk scoring. Additionally, conducting competitive benchmarking of test intelligence tools and partnering with customers and internal stakeholders to collect feedback and enhance user journeys will be part of your role. Defining and monitoring necessary KPIs is also crucial. The ideal candidate will possess proven experience as a Product Owner or Product Manager in software development, test automation, DevOps, or quality engineering domains. A good grasp of AI/ML concepts, model lifecycle, and their integration in software products is essential. Familiarity with test frameworks, CI/CD pipelines, and telemetry tools, along with experience in test analytics, coverage tracking, impact-based testing, and test optimization, are required. Strong analytical, communication, and stakeholder management skills are necessary, as well as exposure to agile methodologies and tools. Experience with or the development of developer/tester tools, along with exposure to GenAI, LLMs, or NLP-driven test automation, will be considered advantageous.,

You are a highly experienced Principal Solution Architect responsible for leading the design, development, and implementation of sophisticated cloud-based data solutions for key clients. With deep technical expertise in multiple cloud platforms such as AWS, Azure, and GCP, as well as modern data technologies, your role is pivotal in shaping data strategies, driving innovation through GenAI and LLMs, and ensuring successful delivery of complex data projects across various industries. Your key responsibilities include leading the architecture and design of robust, scalable, and secure enterprise-grade data solutions like data lakes, data warehouses, data mesh, and real-time data pipelines on AWS, Azure, and GCP. Additionally, you will collaborate closely with clients to understand their business challenges, translate requirements into technical solutions, and present compelling data strategies. Supporting pre-sales activities, including proposal development and solution demonstrations, is also a crucial aspect of your role. Furthermore, you are expected to drive data and analytics modernization initiatives by leveraging cloud-native services, Big Data technologies, GenAI, and LLMs to deliver transformative business value. Applying data architecture best practices across various industries such as BFSI, Retail, Supply Chain, and Manufacturing is also a key part of your responsibilities. To qualify for this position, you should have at least 10 years of experience in IT, focusing on data architecture, solution architecture, and data engineering, with proven experience in a principal-level or lead architect role. Deep, hands-on experience with major cloud platforms like Azure (Microsoft Fabric, Data Lake, Power BI, Data Factory, Azure Purview) and GCP (Big Query, Vertex.AI, Gemini) is essential. Additionally, you should have expertise in integrating AI/ML capabilities, including GenAI and LLMs, into data solutions, strong leadership and communication skills, exceptional problem-solving abilities, and a Bachelor's or Master's degree in computer science, engineering, information technology, or a related field. Preferred qualifications include relevant certifications in AWS, Azure, GCP, Snowflake, or Databricks, as well as experience with Agentic AI and hyper-intelligent automation.,

Acronotics Limited specializes in the application of human intelligence to develop cutting-edge robotic automation and artificial intelligence solutions. We focus on modern-age automation technologies such as RPA & AI to build transformative solutions for our clients. Our mission is to assist clients in designing, developing, implementing, and running game-changing AI and robotic automation solutions. Based out of Bengaluru, we are a team of automation & AI engineers, designers, consultants, and thought leaders, dedicated to driving innovation with our flagship product, Radium AI, which automates bot monitoring and support activities. This is a full-time on-site role located in Bengaluru for a Finance Business Analyst (AI + KPI Translation). The Finance Business Analyst will be responsible for conducting business analysis, understanding business requirements, analyzing key performance indicators (KPIs), and translating these into actionable insights powered by AI. The Finance BA will bridge the gap between our client's finance function and our AI technical team. You will understand financial KPIs, reporting logic, and analytical needs and work with AI engineers to translate them into natural language queries and ensure meaningful AI outputs. Key Responsibilities: - Work with finance leadership to map KPIs, reports, and dashboards into AI-ready formats. - Translate user stories into prompt flows and test cases. - Review LLM responses for financial correctness and context. - Identify critical business queries that demonstrate AI value vs traditional BI. - Help create a repository of validated questions and expected answers. Requirements: - 5+ years in a finance or FP&A role (preferably as a finance BA in an IT Services company). - Understanding of BI tools (Power BI) and experience with finance KPIs. - Strong written and analytical communication skills. - Exposure to GenAI tools or natural language analytics preferred.,

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Noida Location-3rd Aug 2025(Sunday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Noida Date of drive- 3rd Aug 2025(Sunday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

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

A career within Data and Analytics services will provide you with the opportunity to help organisations 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 organizations 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. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 16+ years of hands-on experience are required for this role. **Required Skills** - 15 years of relevant experience in pharma & life sciences analytics, with knowledge of industry trends, regulations, and challenges. - Proven track record of working within the pharma and life sciences domain, addressing industry-specific issues and leveraging domain knowledge to drive results. - Knowledge of drug development processes, clinical trials, regulatory compliance, market access strategies, and commercial operations. - Strong knowledge of healthcare industry trends, regulations, and challenges. - Proficiency in data analysis and statistical modeling techniques. - Good knowledge of statistics, Data analysis hypothesis testing, and preparation for machine learning use cases. - Expertise in GenAI, AI/ML, and data engineering. - Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib). - Familiarity with programming in SQL and Python/Pyspark to guide teams. - Familiarity with visualization tools for e.g.: Tableau, PowerBI, AWS QuickSight etc. - Excellent problem-solving and critical-thinking abilities. - Strong communication and presentation skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders. - Leadership skills, with the ability to manage and mentor a team. - Project management skills, with the ability to prioritize tasks and meet deadlines. **Responsibilities** - Lead and manage the pharma life sciences analytics team, providing guidance, mentorship, and support to team members. - Collaborate with cross-functional teams to identify business challenges and develop data-driven solutions tailored to the pharma and life sciences sector. - Leverage in-depth domain knowledge across the pharma life sciences value chain, including R&D, drug manufacturing, commercial, pricing, product planning, product launch, market access, and revenue management. - Utilize data science, GenAI, AI/ML, and data engineering tools to extract, transform, and analyze data, generating insights and actionable recommendations. - Develop and implement statistical models and predictive analytics to support decision-making and improve healthcare outcomes. - Stay up-to-date with industry trends, regulations, and best practices, ensuring compliance and driving innovation. - Present findings and recommendations to clients and internal stakeholders, effectively communicating complex concepts in a clear and concise manner. - Collaborate with clients to understand their business objectives and develop customized analytics solutions to meet their needs. - Manage multiple projects simultaneously, ensuring timely delivery and high-quality results. - Continuously evaluate and improve analytics processes and methodologies, driving efficiency and effectiveness. - Stay informed about emerging technologies and advancements in pharma life sciences space, identifying opportunities for innovation and growth to provide thought leadership and subject matter expertise. **Professional And Educational Background** BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA,

You should have 15 to 18 years of experience and be based in Chennai. Your responsibilities will include managing service desk operations, demonstrating expertise in ITSM and automation tools, possessing a strong understanding of ITIL processes, identifying process gaps in service desk operations and recommending solutions, incorporating AI technologies to modernize the ServiceDesk, showcasing transformation initiatives to customers in the service desk and automation domain, and having knowledge in both application and infrastructure automation, particularly in GenAI related automation.,

As a Lead Machine Learning Engineer at UPS, you will be part of the UPS Data Science and Machine Learning team focusing on Cross Border logistics. Your role involves managing AI, ML, and GenAI applications, with a specific emphasis on continuous integration and deployment of optimal ML models and analytical systems. You will play a crucial role in the end-to-end lifecycle of AI models, from experimentation to deployment in production, requiring a strong background in prompt engineering and experience with Google Cloud's Vertex AI platform. Your key responsibilities will include leading the development and deployment of generative AI solutions, architecting scalable infrastructure for large-scale AI models, fine-tuning pre-trained models, implementing prompt engineering strategies, and managing the lifecycle of deployed models. Collaboration with cross-functional teams, providing technical leadership, and ensuring responsible and ethical AI development are also essential aspects of this role. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, along with 5-8 years of hands-on experience in building and managing machine learning models. Proficiency in prompt engineering techniques, Python programming, TensorFlow, PyTorch, and experience with Google Cloud's Vertex AI platform are necessary. Additionally, familiarity with cloud computing platforms, MLOps practices, and version control systems is highly desirable. Having experience with model governance frameworks, ethical AI practices, generative AI use cases in the Logistics industry, and contributions to open-source projects will be considered advantageous. Keeping abreast of emerging trends in generative AI, reinforcement learning, and federated learning approaches is also beneficial for this role. This is a permanent position at UPS, and the company is dedicated to fostering a workplace free of discrimination, harassment, and retaliation. If you are a self-driven individual with a passion for AI and machine learning, and are eager to contribute to cutting-edge projects in a collaborative environment, this role offers an exciting opportunity to grow and innovate within a Fortune Global 500 organization.,

The ideal candidate should have a minimum of 5-10 years of experience in data science with a strong proficiency in Python programming. Additionally, the candidate should have at least 4 years of experience in Machine Learning/Natural Language Processing (NLP), with a minimum of 1.5 years in Large Language Models (LLM) & Generative AI (GenAI) technologies. Proficiency in database management for at least 2 years is required, along with 1+ years of experience in cloud deployment of ML models/Python applications on Azure or AWS. Familiarity with LLMOps is considered a plus. As a part of the role, the candidate will be responsible for leading the development, deployment, and optimization of ML, NLP, and LLM/GenAI solutions. This includes the development and maintenance of Python-based ML pipelines, as well as managing associated databases. The candidate will also be tasked with deploying AI models on Azure/AWS, ensuring performance and scalability. Additionally, the candidate will be expected to stay updated on advancements in ML, NLP, and GenAI technologies and provide mentorship to team members. Implementing LLMOps best practices for efficient model lifecycle management will also be a key responsibility.,

You should hold a Bachelors degree in a technical or quantitative field from an accredited college or university. A Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred. Additionally, you should have at least 7 years of relevant experience in Generative AI and NLP. Your background should include a strong mathematical foundation, enabling you to comprehend algorithms and methodologies from both a mathematical and intuitive perspective. Key Skills and Experience required for this role include excellent communication skills, stakeholder management abilities, and the capacity to translate problem statements into analytical approaches. Proficiency in Python programming is essential. You should possess robust experience in Machine Learning and forecasting, with a track record of working on actual projects for application purposes. Specialization in GenAI and NLP is crucial, including extensive knowledge in retrieval augmented generation and a proficient understanding of transformer architecture and traditional NLP techniques. Furthermore, you should be proficient in creating APIs for backend systems. A keen interest in research, staying updated with the latest advancements in GenAI, and a willingness to develop and experiment with your own approaches are highly valued for this role.,

Partner with business stakeholders and DDIT Strategic Business Partners for demand analysis, solution proposal/evaluation, and project delivery. Drive operations of systems and applications in scope (both Global and Local), ensuring their stability and integrity and meeting customer service levels. Deliver products according to strategy and with reusability. Ensure on-time within budget compliant secure and quality delivery of the portfolio for the responsible service area. Ensure services solutions platforms products are fit for purpose and achieve the desired business value and impact. Create the detailed process designs necessary to operate the software/service on a day-to-day basis. Ensure that detailed designs adhere to solution architecture design (i.e. high-level conceptual design) and are traceable to functional as well as non-functional requirements in functional specification. Ensure the overall user experience is taken into account when designing new solutions and services. Take accountability to ensure adherence to Security and Compliance policies and procedures within Service Delivery scope. Take accountability for platform governance including Platform performance and security. Minimum Requirements: - 12+ years of relevant IT experience - 5+ years of experience on the ServiceNow Platform - Certified ServiceNow Implementation Specialist - Deep Knowledge of the ServiceNow platform and modules - Implementation experience in multiple ServiceNow applications like ITSM, ITOM, HRSD, IT Asset Mgmt., Orchestration, Virtual Agent, Integration Hub, and Custom applications (minimum two modules) - Excellent analytical and conceptual thinking, proactive work style, strong analytical and problem-solving skills, open to new learnings - Excellent communication and team collaboration skills - Strong ability to interact and operate in an international environment, across various domains, functions, and levels - Capable of interacting in business (non-IT) language - Experience with Agile tools and techniques - Good to have experience with application development and methodologies, ITIL / GxP - Exposure/experience in GenAI and Now Assist implementation Why consider Novartis Novartis touched 769 million lives with its medicines in 2022, and while proud of this, there is more that can be done to help improve and extend people's lives. Novartis believes that new insights, perspectives, and ground-breaking solutions can be found at the intersection of medical science and digital innovation. A diverse, equitable, and inclusive environment inspires new ways of working. Novartis believes in thriving potential in an unbossed culture underpinned by integrity, curiosity, and flexibility. Collaborating with courage to aggressively and ambitiously tackle the world's toughest medical challenges can reinvent what's possible. The greatest risk in life is the risk of never trying! Imagine what you could do here at Novartis. Benefits and Rewards: Read Novartis" handbook to learn about all the ways they help employees thrive personally and professionally. Division: Operations Business Unit: Universal Hierarchy Node Location: India Site: Hyderabad (Office) Company/Legal Entity: IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area: Technology Transformation Job Type: Full-time Employment Type: Regular Shift Work: No Join the Novartis Network: Not the right Novartis role for you Sign up to the talent community to stay connected and learn about suitable career opportunities as soon as they come up.,

You will be working as a Technical Lead Data Engineer for a leading data and AI/ML solutions provider based in Gurgaon. In this role, you will be responsible for designing, developing, and leading complex data projects primarily on Google Cloud Platform and other modern data stacks. Your key responsibilities will include leading the design and implementation of robust data pipelines, collaborating with cross-functional teams to deliver end-to-end data solutions, owning project modules, developing technical roadmaps, and implementing data governance frameworks on GCP. You will be required to integrate GCP data services like BigQuery, Dataflow, Dataproc, Cloud Composer, Vertex AI Studio, and GenAI with platforms such as Snowflake. Additionally, you will write efficient code in Python, SQL, and ETL/orchestration tools, utilize containerized solutions for scalable deployments, and apply expertise in PySpark, Kafka, and advanced data querying for high-volume data environments. Monitoring, optimizing, and troubleshooting system performance, reducing job run-times through architecture optimization, developing data warehouses, and mentoring team members will also be part of your role. To be successful in this position, you should have a Bachelors or Masters degree in Computer Science, Engineering, or a related field. Extensive hands-on experience with Google Cloud Platform data services, Snowflake integration, strong programming skills in Python and SQL, proficiency in PySpark, Kafka, and data querying tools, and experience with containerized solutions using Google Kubernetes Engine are essential. Strong communication skills, documentation skills, experience with large distributed datasets, and the ability to balance short-term deliverables with long-term technical sustainability are also required. Prior leadership experience in data engineering teams and exposure to cloud data platforms are desirable. This role offers you the opportunity to lead high-impact data projects for reputed clients in a fast-growing data consulting environment, work with cutting-edge technologies, and collaborate in an innovative and growth-oriented culture.,

The role requires you to lead the design and development of Global Supply Chain Analytics applications and provide support for applications from other domains using supply chain data. You will be responsible for hands-on management of applications in Supply Chain Analytics and wider Operations domain. As a senior specialist in Supply Chain Data & Analytics, you will drive the deliverables for important digital initiatives contributing towards strategic priorities. Your role will involve leading multiple projects and digital products, collaborating with team members both internally and externally, and interacting with global Business and IT stakeholders to ensure successful solution delivery with standard designs in line with industry best practices. Your responsibilities will include designing and managing the development of modular, reusable, elegantly designed, and maintainable software solutions that support the Supply Chain organization and other Cross Functional strategic initiatives. You will participate in fit-gap workshops with business stakeholders, provide effort estimates and solutions proposals, and develop and maintain code repositories while responding rapidly to bug reports or security vulnerability issues. Collaboration with colleagues across various departments such as Security, Compliance, Engineering, Project Management, and Product Management will be essential. You will also drive data enablement and build digital products, delivering solutions aligned with business prioritizations and in coordination with technology architects. Contributing towards AI/ML initiatives, data quality improvement, business process simplification, and other strategic pillars will be part of your role. Ensuring that delivered solutions adhere to architectural and development standards, best practices, and meet requirements as recommended in the architecture handbook will be crucial. You will also be responsible for aligning designed solutions with Data and Analytics strategy standards and roadmap, as well as providing status reporting to product owners and IT management. To be successful in this role, you should have a minimum of 8 years of data & analytics experience in a professional environment, with expertise in building applications across platforms. Additionally, you should have experience in delivery management, customer-facing IT roles, Machine Learning, SAP BW on HANA and/or S/4 HANA, and cloud platforms. Strong data engineering fundamentals in data management, data analysis, and back-end system design are required, along with hands-on exposure in Data & Analytics solutions, including predictive and prescriptive analytics. Key skills for this role include collecting and interpreting requirements, understanding Supply Chain business processes and KPIs, domain expertise in Pharma industry and/or Healthcare, excellent communication and problem-solving skills, knowledge in Machine Learning and analytical tools, familiarity with Agile and Waterfall delivery concepts, proficiency in using various tools such as Jira, Confluence, GitHub, and SAP Solution Manager, and hands-on experience in technologies like AWS Services, Python, Power BI, SAP Analytics, and more. Additionally, the ability to learn new technologies and functional topics quickly is essential. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities it serves. If you are passionate about making a difference in the lives of others and are ready to collaborate, support, and inspire breakthroughs, this role offers an opportunity to create a brighter future together.,

Job Title: Program Manager Location: Nxtwave Disruptive Technologies , Hyderabad (On-site) Working Days 6 Days (Mon- Sat) Sift Timings - 10 AM to 7 PM Experience: Minimum 2 year 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, productisation, and leveraging GenAI technologies to streamline business operations. Key Qualifications: B.Tech in Computer Science (Good to have) Minimum of 3 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productisation of internal tools and systems. Hands-on understanding and application of GenAI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - 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/GenAI platforms such as OpenAI, 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.

Job Title: Program Manager Location: Nxtwave Disruptive Technologies , Hyderabad (On-site) Working Days 6 Days (Mon- Sat) Sift Timings - 10 AM to 7 PM Experience: Minimum 2 year 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, productisation, and leveraging GenAI technologies to streamline business operations. Key Qualifications: B.Tech in Computer Science (Good to have) Minimum of 3 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productisation of internal tools and systems. Hands-on understanding and application of GenAI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - 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/GenAI platforms such as OpenAI, 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.

Job Title: Program Manager Location: Nxtwave Disruptive Technologies , Hyderabad (On-site) Working Days 6 Days (Mon- Sat) Sift Timings - 10 AM to 7 PM Experience: Minimum 2 year 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, productisation, and leveraging GenAI technologies to streamline business operations. Key Qualifications: B.Tech in Computer Science (Good to have) Minimum of 3 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productisation of internal tools and systems. Hands-on understanding and application of GenAI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - 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/GenAI platforms such as OpenAI, 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.

Job Title: Program Manager Location: Nxtwave Disruptive Technologies , Hyderabad (On-site) Working Days 6 Days (Mon- Sat) Sift Timings - 10 AM to 7 PM Experience: Minimum 2 year 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, productisation, and leveraging GenAI technologies to streamline business operations. Key Qualifications: B.Tech in Computer Science (Good to have) Minimum of 3 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productisation of internal tools and systems. Hands-on understanding and application of GenAI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - 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/GenAI platforms such as OpenAI, 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.

UI/UX design, preferably in agile product environments AI/ ML/ GenAI application design Experiment with AI-powered design tools (e.g., Uizard, Galileo AI) for rapid ideation and prototyping

You will be responsible for designing and implementing AI and GenAI solutions on Google Cloud Platform (GCP). Your role will involve creating architecture diagrams, developing machine learning models, and optimizing existing solutions for performance and scalability. You will also be required to manage large datasets, stay updated on AI trends and GCP services, and provide technical guidance to engineering teams. Additionally, you will engage in discussions with clients to understand their requirements and propose suitable solutions. To qualify for this role, you should have a Bachelor's degree in Computer Science, Engineering, or a related field, along with proven experience as a Solution Architect in AI/GenAI. Proficiency in Python, strong knowledge of GCP services, familiarity with Generative AI models, and experience with data technologies and machine learning frameworks are essential. Excellent problem-solving and communication skills are also required. Preferred skills for this position include certification in Google Cloud Professional Data Engineer or Professional Cloud Architect, familiarity with DevOps practices and tools, and experience with large-scale data processing.,

As a Senior Developer and Team Leader at our client's leading MNC in the shipping industry, based in Mumbai, you will have the opportunity to shape the internal software development initiatives. Your primary responsibility will be to oversee end-to-end software development activities, including defining technical vision, leading a high-performing software engineering team, and ensuring the delivery of robust web and mobile solutions. You will work closely with cross-functional stakeholders to deliver intuitive digital solutions that drive innovation and operational efficiency. By promoting a strong engineering culture and implementing modern development practices, you will streamline delivery processes and enhance team engagement. To qualify for this role, you should possess a Bachelor or Master's degree in computer science or a relevant field, along with 8 to 10 years of experience in software engineering. Additionally, you should have 3+ years of experience in a team lead role within Agile environments and hands-on experience with JavaScript, Node.js, Java, React, AWS, and Docker. Experience with GenAI technologies, API architecture, and modern databases is essential. Strong leadership, mentoring, and collaboration abilities are required, and knowledge of microservices, TDD, and Ansible is a plus. Certifications in AWS, Azure, Agile, or Scrum Master will be advantageous. In return, our client offers you the opportunity to work with cutting-edge technologies in the shipping industry, a collaborative work environment, and career growth opportunities within a leading MNC. To apply for this position, please submit an updated resume. All applications will be treated as strictly confidential, and our team will review your application before contacting you for further steps. Comaea Consulting www.comaeaconsulting.com,

The role of S&C GN AI - Insurance AI Generalist Consultant at Accenture Global Network involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As a Team Lead/Consultant at Bengaluru, BDC7C location, you will provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. In this position, you will be part of a unified powerhouse that combines the capabilities of Strategy & Consulting with Data and Artificial Intelligence. You will work on architecting, designing, building, deploying, delivering, and monitoring advanced analytics models, including Generative AI, for various client problems. Additionally, you will develop functional aspects of Generative AI pipelines and interface with clients to understand engineering/business problems. The ideal candidate for this role should have 5+ years of experience in data-driven techniques, a Bachelor's/Master's degree in Mathematics, Statistics, Economics, Computer Science, or a related field, and a solid foundation in Statistical Modeling and Machine Learning algorithms. Proficiency in programming languages such as Python, PySpark, SQL, Scala is required, as well as experience implementing AI solutions for the Insurance industry. Strong communication, collaboration, and presentation skills are essential to effectively convey complex data insights and recommendations to clients and stakeholders. Furthermore, hands-on experience with Azure, AWS, or Databricks tools is a plus, and familiarity with GenAI, LLMs, RAG architecture, and Lang chain frameworks is beneficial. This role offers an opportunity to work on innovative projects, career growth, and leadership exposure within Accenture, a global community that continually pushes the boundaries of business capabilities. If you are a motivated individual with strong analytical, problem-solving, and communication skills, and the ability to thrive in a fast-paced, dynamic environment, this role provides an exciting opportunity to contribute to Accenture's future growth and be a part of a vibrant global community.,

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

You have an exciting opportunity to join Anervea.AI as a Clinical Data Scientist in their Pune office. Anervea.AI is seeking individuals with expertise in Clinical Data, Python, GenAI, RAG Framework, LLM, HealthTech, biomedical, and Pharmaceutical domains. As a part of the team, you will be responsible for developing, training, and fine-tuning large language models and generative architectures such as LLMs, VAEs, Transformers, and GANs. You will also integrate models with applications using frameworks like LangChain, LlamaIndex, and RAG, design LLM-based agents for various use cases, and build prompt templates and semantic memory flows using vector databases like Pinecone or FAISS. In this role, you will collaborate closely with backend and data teams to ingest data from a variety of sources including PDFs, APIs, structured databases, and JSON files. It will be your responsibility to benchmark model outputs, run experiments to optimize cost, performance, and quality, and stay updated on the latest AI research to implement useful techniques in production environments. Additionally, you will be expected to write clear, modular, reusable code with proper documentation and test coverage, as well as troubleshoot any model-related deployment or inference issues that may arise. To excel in this position, you must possess strong Python programming skills and have experience with foundation models like Transformers, Hugging Face, OpenAI/Anthropic APIs, and Med-GEMMA. Familiarity with agentic frameworks such as LangChain, LlamaIndex, LangGraph, and semantic RAG, along with experience in working with vector databases like Pinecone, FAISS, or Weaviate is essential. You should also be comfortable with prompt engineering, few-shot learning, fine-tuning basics, and have the ability to process and clean unstructured data like PDFs, notes, and research papers. Understanding of NLP metrics, model evaluation techniques, and bonus experience with biomedical or clinical data will be advantageous. Moreover, familiarity with deploying models via FastAPI, Docker, or Streamlit will be considered a bonus. As a candidate, you are expected to possess certain personal attributes including curiosity, attention to detail, ownership mindset, ability to work independently, passion for building usable AI, and strong communication and collaboration skills. Bonus qualities that will set you apart include having built or deployed LLMs into production, experience with healthcare or life sciences data, and showcasing personal projects, GitHub repos, or AI experiments that reflect your passion for the field. The interview process for this opportunity will involve a technical round with the Head of Engineering at Anervea.AI. To apply for this position, you can follow the simple steps provided - Click on Apply, Register or Login on the portal, complete the Screening Form, and upload your updated resume to increase your chances of getting shortlisted for an interview with the client. At Uplers, our aim is to make hiring reliable, simple, and fast for all our talents. We are here to support you throughout your engagement and help you progress in your career. If you are ready for a new challenge, a great work environment, and an opportunity to elevate your career to the next level, apply today and take the first step towards joining our team at Anervea.AI. We are excited to welcome you on board!,

NTT DATA is looking for a Web Design UI/UX Specialist to join their team in Bengaluru, Karnataka, India. As part of the Innovation Center, you will be responsible for translating complex innovation ideas into visually engaging presentations, infographics, and digital experiences. You will collaborate with multidisciplinary teams to design assets and visual frameworks that communicate the value of emerging technologies and innovation initiatives. Key Responsibilities: - Translate innovation concepts into visually engaging presentations, infographics, and digital experiences. - Design and maintain visual assets for innovation showcases, client workshops, and executive briefings. - Co-create design narratives for MVPs and prototypes with product managers, engineers, and innovation leads. - Develop visual identities and branding for innovation initiatives following enterprise guidelines. - Create impactful visuals using tools like Figma, Adobe Creative Suite, and Microsoft tools. - Support storytelling for emerging tech use cases through visual design. - Manage multiple design requests with agility and attention to detail. - Contribute to the Innovation Center's design repository and knowledge base. Required Skills & Experience: - 2+ years of visual design experience, preferably in innovation, consulting, or tech environments. - Strong portfolio showcasing design for storytelling, product concepts, or innovation campaigns. - Proficiency in Figma, Adobe Illustrator, Photoshop, InDesign, and PowerPoint. - Experience designing for executive audiences and working in cross-functional teams. - Ability to simplify abstract or technical concepts into clear, compelling visuals. - Familiarity with trends in GenAI, digital transformation, and emerging technologies. Preferred Qualifications: - Bachelors degree in Design, Visual Communication, or related field. - Experience working in an innovation lab, design studio, or agile product team. - Strong communication skills and ability to present design rationale to stakeholders. - Comfortable working in a fast-paced, iterative environment with shifting priorities. If you are a highly creative and forward-thinking designer who can bring innovation concepts to life through visual storytelling, this role might be perfect for you. Join NTT DATA in their mission to help clients innovate, optimize, and transform for long-term success. Visit us at us.nttdata.com.,

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,