434 Genai Jobs - Page 2

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,

As a visionary Senior Manager Technology specializing in Adobe Experience Manager (AEM) at Publicis Sapient, you will have the opportunity to contribute significantly to the success and growth of clients by architecting and delivering transformative digital solutions. Your role will involve leading sales opportunities, designing and implementing solutions, developing digital experiences, mentoring teams, managing projects, engaging with stakeholders, and defining best practices. By joining our innovative team, you will play a pivotal role in shaping the future of digital experiences and making a tangible impact on both clients and the industry. Your responsibilities will include spearheading RFP responses, proposal delivery, and pricing to secure new business, as well as architecting and designing solutions for global customer engagement and web content management platforms. You will create high-quality digital consumer experiences using Adobe marketing and experience cloud products, provide direction to senior developers, oversee multiple projects, collaborate with clients to develop specifications and solution architectures, and establish standards for digital platform performance, security, and scalability. To excel in this role, you should have extensive AEM experience with hands-on experience in Adobe marketing cloud products, strong technical expertise in OSGi, Apache Sling, Apache Sightly, Apache Oak, and Adobe Dispatcher/Publisher, deep understanding of Java technologies, experience with MarTech products and technologies, familiarity with frontend technologies, proficiency in performance and security testing for AEM platforms, and a strong understanding of cloud and DevOps architecture. Additionally, having knowledge and experience in GenAI, search engine implementation, quality processes, ecommerce integration, and mobile app development will set you apart. This role is ideal for individuals who are innovative problem-solvers passionate about leveraging technology for business transformation. Publicis Sapient values diversity and inclusivity, offering a gender-neutral policy, 18 paid holidays annually, generous parental leave, flexible work arrangements, and employee assistance programs for wellness and well-being. Join us at Publicis Sapient, a digital transformation partner that helps organizations achieve their digitally enabled future through a combination of strategy, consulting, customer experience, agile engineering, and problem-solving creativity. Embrace the opportunity to accelerate our clients" businesses by designing products and services that truly resonate with their customers, guided by our core values and purpose of enabling people to thrive in the pursuit of the next.,

Greetings from Sun Technologies. Position: AI Engineer Years Of Experience: 5+ Years Work Location: HBR Layout, Bangalore (work from office) Job Type: Permanent/Fulltime Position Interview Mode : Virtual Shift Details: 12:30 PM TO 9:30 PM-IST (Free 2 ways cab with dinner) Roles Responsibilities: Strong background in traditional AI/ML Experience building GenAI chatbots, agents, implementing tools with Gemini or similar vendors Fine tuning experience of LLMs Ability to work with LLM APIs Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs) Agentic Frameworks (e.g., LangGraph, CrewAI, ). Experience with prompt engineering Experience with RAG architecture Experience in Google Cloud and Vertex AI Experienced with Python If interested please share updated resume to chandanap@suntechnologies.com, appreciate for references.

Minimum Qualifications: Bachelor's or master's degree in computer science, Engineering, or a related technical field, or equivalent practical experience. 4-7 years of professional software development experience. Proficiency in Java, or Core Java. Hands on experience with Gen AI & RAG. Experience with software development practices and design patterns. Strong problem-solving skills and attention to detail. Familiarity with version control systems like Git GitHub and bug/work tracking systems like JIRA. Basic understanding of cloud technologies and DevOps principles. Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Good communication and interpersonal skills, with the ability to work effectively in a collaborative team environment.

Role & responsibilities: Python developer Develop, maintain, and enhance scalable backend applications using Python and Django framework. Design and implement RESTful APIs to support front-end and AI model integrations. Collaborate with AI/ML teams to integrate generative AI models and NLP solutions into healthcare applications. Optimize application performance and troubleshoot production issues. Write clean, maintainable, and well-documented code following best practices. Participate in code reviews, unit testing, and continuous integration/deployment processes. Stay updated on latest trends in Django, Python, and generative AI technologies to recommend and implement improvements. Work closely with product managers, data scientists, and UI/UX teams to translate business requirements into technical solutions.

Key Responsibilities: Design and Implement RAG-Based Solutions: Lead the development of a robust RAG-based system that seamlessly integrates generative AI models with retrieval mechanisms, ensuring optimal accuracy, performance, and scalability. Agent-Based Solution Development : Build AI agents that can autonomously perform tasks using information retrieval, language models, and multi-turn interactions using AutoGen, LangGraph frameworks. Generative AI Integration : Leveraging LLMs (e.g., GPT, Anthropic, Llama, Deepseek etc.) for generating high-quality, contextually accurate content in response to user queries. Prompt Engineering: Strong proficiency in prompt engineering to design, test, and optimize prompts for large language models, ensuring effective agent behavior and task completion Data & Knowledge Integration : Work on integrating structured and unstructured data sources into the RAG framework to improve model outputs. Collaborate with Teams : Work closely with product, engineering, and data science teams to ensure seamless integration of AI capabilities into broader products. Security & Compliance : Ensure following best practices in data security, privacy, and compliance, particularly in AI-driven applications. Model Evaluation : Implement strategies for continuous evaluation, monitoring, and tuning of models to ensure high-quality outputs. Data Pipeline Design : Build robust data pipelines for preprocessing and integrating structured and unstructured data sources into the platform. Collaborate with Teams : Work closely with data engineers, and software engineers to ensure seamless integration of machine learning models into production environments. Performance Optimization : Implement and experiment with various techniques such as vector search , semantic search , and knowledge distillation to enhance the platforms efficiency and accuracy. Data Quality : Ensure data quality and consistency throughout the data pipeline, implementing necessary quality checks and validation processes. Requirements: 4+ years of experience with building GenAI solutions using Python and Langchain and AutoGen technologies. Agentic AI experienced developing agents using AutoGen and LangGraph frameworks. Prior experience in building GenAI solutions using effective text representation techniques and classification algorithms. Experience with ML – Model Building, Semantic extraction techniques, data structures and modelling Experience with Supervised/Unsupervised Learning, Sentiment Analysis, Statistical Analysis using NLP and Python libraries (NLTK, Spacy, Numpy, Pandas) Experienced in building Rest API’s Experience with building applications with micro services & serverless architecture Excellent communication skills Good to have: Experience with Azure cloud services Experience with Azure Foundry & Prompt flow

Role: Gen AI Engineer Exp: 5 to 8 yrs. Loc: Bangalore, Pune, Hyderabad NP: Immediate joiners, who can join in 30 days. Required Skills: Python, Large Language Models (LLM), Machine Learning (ML), Generative AI Required Candidate profile Looking for candidates working in Data Analytics companies preferably.

Position Summary A data scientist cum data engineer with 5+ years of experience with a deep understanding of data analysis, Big Data & Cloud technologies, AI & machine learning, GenAI and NLP techniques. You will be responsible for developing & building low level design as per approved Tech specs, extracting valuable insights from large datasets, building advanced AIML models and driving data-driven decision-making within the organization or for the enterprise customers. This role involves a combination of data analysis, model development, and strategic thinking to solve complex business problems. You will interact with key stakeholders and apply your technical proficiency in AIML, Python, R and algorithms. You will work across different stages of the development project using data science & technologies to provide solutions and interface directly with enterprise customers for the Adobe Experience Platform. What you'll do Interface with Adobe customers to gather requirements, map solutions & make recommendations. Document projects with clear business objectives, provides data gathering & data preparation, final algorithm, detailed set of results Experience in Natural Language Processing, GenAI and Image processing Support the execution of Data Science solutions to business problems Innovate on new ideas to solve customer needs & assist to create GTM strategies for new solutions Experience in AIML modeling like propensity models, clusterings, regression, etc. Developing ETL pipelines involving big data. Developing data processinganalytics applications primarily using PySpark. Experience of developing applications on cloud(AWS/Azure/GCP) mostly using services related to storage, compute, ETL, DWH, Analytics and streaming. Clear understanding and ability to implement distributed storage, processing and scalable applications. Experience in working with SQL and NoSQL database. Ability to write and analyze SQL, HQL and other query languages for NoSQL databases. Proficiency in writing disitributed & scalable data processing code using PySpark, Python and related libraries. Experience in developing applications that consume the services exposed as ReST APIs. Understand and clean datasets, interpret outputs and make them comprehensible to understand for other teams. Strong collaboration with consultants onshore & offshore Create reusable statistical models & modify existing algorithms Report on customer trends and deployment performance and identify areas that we can use target using ML/Data science solutions. Requirements 2+ years of experience & knowledge with Web Analytics or Digital Marketing. 5+ years of experience in AIML role , with a focus on building data pipelines for conducting data intensive analysis 5+ years of experience with Machine Learning and alogrithims for classification, clustering, prediction, recommendations and NLP 5+ years of experience with common Data Science Toolkits (i.e. R, Jupyter Notebooks, PySpark etc.) 5+ years of enterprise development using Python Strong understanding of GenAI and LLM Ability to enhance Standard Algorithms is required Knowledge & experience using Amazon Sagemaker , Microsoft Azure ML or Google AI technologies 5+ years of complex SQL experience 5+ years of Data Modeling experience Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projects Strong verbal & written communication skills to lead customers to a successful outcome and explain complex technical concepts to non-technical stakeholders. Excellent problem-solving and critical-thinking skills. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud) Must be self-managed, proactive and customer focused Degree in Computer Science, Information Systems or related field Should be able to work in teams Special Consideration given for Experience & knowledge with Adobe Experience Cloud solutions Experience & knowledge with Web Analytics or Digital Marketing

The company believes in conducting business every day based on core values of Inclusion, Innovation, Collaboration, and Wellness, ensuring a global team works together with customers at the center. As part of the team, you will have the opportunity to impact the business by identifying AI ML opportunities and building solutions that drive results. You will lead ML projects, conduct research to discover new ML techniques, and innovate to enhance team and business efficiencies. Collaborating closely with engineers, analysts, and leaders, you will implement and optimize ML models, establish best practices for model management, deployment, and monitoring, and integrate ML models into products and services. Additionally, you will assist in troubleshooting technical issues, maintain documentation, project tracking, and quality controls. The ideal candidate will have a degree in engineering, science, statistics, or mathematics, possessing a strong technical background in machine learning. Excellent communication skills, an analytical mindset, and a passion for problem-solving are essential. Candidates should have at least 3 years of hands-on experience in problem-solving using Machine Learning, proficiency in Python or Java, and familiarity with technologies like Spark, Hadoop, BigQuery, and SQL. Deep knowledge of machine learning algorithms, explainable AI methods, GenAI, and NLP is required, along with experience with Cloud frameworks such as GCP and AWS. Experience in Lending and Financial services is considered a plus. The company offers a range of benefits, and it is committed to Diversity and Inclusion. To understand more about the company's culture and community, visit https://about.pypl.com/who-we-are/default.aspx. If you are interested in joining the Talent Community or have any questions related to your skills, please don't hesitate to apply, as the company values all candidates and aims to bridge the confidence gap and imposter syndrome.,

Hi, Greetings from Sun Technology Integrators!! This is regarding a job opening with Sun Technology Integrators, Bangalore. Please find below the job description for your reference. Kindly let me know your interest and share your updated CV to nandinis@suntechnologies.com ASAP. Strong background in traditional AI/ML Experience building GenAI chatbots, agents, implementing tools with Gemini or similar vendors Fine tuning experience of LLMs Ability to work with LLM APIs Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs) Agentic Frameworks (e.g., LangGraph, CrewAI, ). Experience with prompt engineering Experience with RAG architecture Experience in Google Cloud and Vertex AI Experienced with Python Please let me know, if any of your friends are looking for a job change. Kindly share the references. Please Note: WFO- Work From Office (No hybrid or Work From Home) Shift Details: IST Shift - 12.30 PM to 9.30 PM IST -2 ways free cab facility(Pickup+Drop) Years of Exp-5 to 10 years Interview Mode- 2 rounds Virtual interview Thanks and Regards, Nandini S | Sr.Technical Recruiter Sun Technology Integrators Pvt. Ltd. nandinis@suntechnologies.com www.suntechnologies.com

Company Description TAO: The Automation Office is an independent, pure-play automation consulting and solutions provider based in Bengaluru. We believe in the power of automation solutions and their potential to revolutionize how companies function. As an end-to-end automation solutions partner, we work closely with clients to develop and implement automation strategies, ranging from basic RPA to advanced cognitive and machine learning solutions. Our value comes from our proprietary tools and frameworks, managed by the largest independent pool of experts and supported by best-in-class partnerships. The Automation Office delivers intelligent IP based solutions that digitally transform business processes orchestrated with precision across all layers of the tech stack, on an outcome guaranteed basis. Role Description We're in search of an RPA Developer that is ready to innovate and explore what's possible in the world or robotics. In this role, you'll work cross-functionally with business operations and business analysts to create and optimize workflow processes. You'll also lead initiatives related to designing and managing workflow automation projects, testing and fixing bugs. To be successful, you'll need experience in technologies including UiPath and Automation Anywhere. Experience: 3-5 years of Industry Experience Qualification: B.Tech./B.E. Job Type: Full-time RPA Developer Requirements Minimum 3 yearsin Automation Anywhere Hands on experience in any of the programming languages like C/C++, Python, VB Script, Ruby, Java, JS, .Net etc. Automation Anywhere RPA Developer certifications mandatory APA (Agentic Process Automation) certification mandatory Proof of Concept (POC) or project experience with LLMs (e.g., ChatGPT) Exposure to AWS AI and Claude Sonnet (AI/LLM-related work) Experience with Automation Anywhere and its integration with AI solutions Familiarity with APA (Agentic Process Automation) Basic programming knowledge on HTML, JavaScript (or any scripting language). Able to design technical specification documentsfor RPA Projects. Experience developing and consuming APIs. Experience with Agile development methodology. Understanding of workflow-based logic. Strong attention to detail and analyticalskills. Superior time and project management skills. Ability to present technical detailsto non-technical audiences. Excellent problem solving/analytical skills and complex troubleshooting methods. Ability to work through ambiguoussituations. Excellent presentation, verbal, and written communication skills. Self-motivated, able to work independently, and able to take initiative without always being directed. Ability to multitask in a fast-paced environment and prioritize the most critical tasks and projects. RPA Developer Responsibilities Provide guidance with process design Design, develop, and test automation workflows. Deploy RPA components including bots, robots, development tools, code repositories and logging tools. Support the launch and implementation of RPA solutions. Create process and end-user documentation. Assure the quality of the automation (QA processes). Work with Business Analysts, Scrum Masters, QA Analysts, Product Owners, and other cross-functional resources to define and deliver business impacting projects. Work directly with stakeholders to capture businessrequirements and translate them into technical approaches and designs that can be implemented. Collaborate with development team membersto ensure proper implementation and integration of the solutions. Support deployments or troubleshoot production issues outside of work hours and participate in an oncall rotation as-needed. Maintain current knowledge ofrelevant technologies and business processes. Job Location: Bengaluru, Karnataka

Experience in programming skills in languages such as Python, SQL/NoSQL, C#, C Experience in deploying machine learning models and AI algorithms Experience in GEN AI models such as OpenAI, Runway ML, Google Gemin Development and Deployment of AI/ML and deep learning solutions Experience frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras. Developing API using Flask/Django. Experience in Gen AI, Vector DB/Embeddings, LLM (Large language Model)

Business Analyst Lead Experience: 7-10 years Location: Gurgaon / Noida GenAI Strategy & Innovation Bridge Generative AI capabilities with business value to drive adoption of LLMs, RAG systems, and AI agents. Identify impactful use cases (chatbots, synthetic data, automation) and conduct build-vs-buy assessments (e.g., GPT-4 vs. fine-tuned Llama 3). Technical Proficiency Skilled in LangChain, LlamaIndex, Azure OpenAI Studio, GCP Vertex AI, Hugging Face. Hands-on with RAG architectures, LoRA fine-tuning, vector databases. Competent in SQL/Python for data validation and synthetic data tools (Gretel, Mostly AI). Business Analysis & Workflows Lead user story mapping for multi-agent setups (AutoGen, CrewAI). BPMN modeling for AI-human collaboration. Engineer GenAI-specific requirements: accuracy , ethical safeguards, latency SLAs. Stakeholder Alignment Translate AI capabilities into measurable outcomes Manage expectations around AI's probabilistic behavior (e.g., fact-checking workflows). Governance & Measurement Define GenAI KPIs: token cost, trust scores, automation rates. Monitor model drift and trigger retraining. Build audit frameworks ensuring compliance (EU AI Act, industry norms).

Job Title: Chief Architect / Principal Architect - AI & Digital Solutions (Leadership Role Pre-sales) Location: Chennai / Pune / Noida / Bangalore / Hyderabad About the Role: We are seeking a visionary Chief Architect / Principal Architect with a strong leadership focus, who brings deep expertise in AI, Cloud, and Enterprise Architecture combined with a strategic mindset for pre-sales and solution consulting . This dual-role position is perfect for a seasoned technologist who thrives at the intersection of AI/ML, Agentic AI, RAG, MLOps, Data Engineering, Cloud Architecture , and digital transformation consulting . You will not only define the strategic vision and architecture of next-generation platforms but also lead and scale pre-sales engagementscrafting compelling solutions, engaging with customers, and converting opportunities into tangible outcomes. Key Responsibilities: Lead the architecture and design of AI-driven platforms, Agentic AI solutions, and cloud-native enterprise applications . Architect and oversee the development of scalable LLM-based chatbot solutions, Knowledge Management AI systems, and RAG pipelines . Design secure and efficient cloud architectures with deep expertise in Azure, AWS, or GCP . Drive innovation through hands-on prototyping, PoCs, and feasibility analysis of Generative AI models, multi-LLM integration, and LangGraph workflows . Collaborate with cross-functional teams, including Product, Data Science, DevOps, and Engineering , to align AI solutions with business goals. Provide technical leadership in IT strategy for startups , advising on AI adoption, cloud transformation , and scalable product architectures . Lead and manage the pre-sales team for digital transformation projects , working closely with sales, marketing, and delivery teams to create customized solutions, present proposals, build client trust, and accelerate business growth. Respond to RFPs, create reusable solution accelerators, and design end-to-end architectures for client demos and strategic pursuits. Participate in client workshops, understand pain points, and translate business needs into actionable technical roadmaps. Head the Architecture practice and provide executive leadership , establishing frameworks, best practices, and governance for enterprise-wide technology strategy. Key Qualifications: 15+ years of experience in software architecture, cloud computing, and AI/ML-driven solutions . Strong background in DevOps, CI/CD , and cloud-native architectures (Azure, AWS, GCP) . Experience in designing and deploying secure, scalable, and cost-optimized data platforms . Deep knowledge of enterprise AI solutions, chatbot development, and AI-powered process automation . Strong leadership and communication skills, with a track record of mentoring teams and driving architectural excellence. Experience working with startups or innovation labs to build and scale AI-driven products. Extensive experience in product development across B2C and B2B domains ; experience in the Payment Domain will be a plus. Proven success in cloud migration, modernization initiatives , and building secure authentication flows using OAuth2, SAML2 , and social logins . Expertise in integrating complex systems using ETL pipelines, Queuing solutions , and Enterprise Integration products . Demonstrated ability to balance strategic oversight with hands-on technical execution . Why Join Us? Competitive Compensation: We offer industry-leading salaries that reflect your expertise and contributions. Dynamic Work Culture: Experience a flat organizational structure with flexible work arrangements, including remote work options, fostering autonomy and collaboration. Professional Development: Benefit from sponsored training, attendance at industry events, and educational conferences to enhance your skills and stay ahead in AI and cloud technologies. Wellness Programs: Participate in initiatives designed to support your physical and mental well-being, ensuring a balanced work-life experience. Inclusive Environment: Join a team that values diversity and provides equal opportunities for all employees, fostering a culture of innovation and respect. Corporate Social Responsibility: Engage in meaningful projects that give back to the community, such as collaborations with esteemed organizations. Empowerment Initiatives: Take advantage of programs supporting professionals resuming their careers with flexible work options. Be part of a proven leadership team that champions code quality, design congruence, and innovation , helping you grow in both technical and leadership dimensions . At Aziro Technologies, we are committed to fostering an environment where innovation thrives, and employees are empowered to excel in their careers. If you are a hands-on architect who thrives in AI, cloud, and enterprise transformation, and want to climb the leadership ladder , wed love to connect!

As a Network & Services Operation Associate Manager at Accenture, you will play a crucial role in transforming back office and network operations to enhance customer experience, reduce time to market, and boost revenue. Your primary responsibilities will include managing problems arising from information technology infrastructure errors to mitigate their impact on business operations and prevent their recurrence by identifying root causes and implementing corrective actions. To excel in this role, you must possess at least 10 to 14 years of experience and demonstrate advanced programming skills, particularly in SQL scripts, Python, and PySpark. Experience with tools like Databricks and Palantir will be advantageous. Your involvement in GenAI and Machine Learning projects will be essential. Additionally, you should have a strong desire to learn data models and billing processes, coupled with critical thinking abilities. Your role will involve analyzing and solving moderately complex problems, creating innovative solutions by adapting existing methods, and aligning your work with the strategic direction set by senior management. You will interact with peers, supervisors, and clients, requiring minimal guidance while handling new assignments. Your decisions will impact your team and occasionally other teams, and you may lead medium-small sized teams or projects. The ideal candidate will have a strong background in network billing operations, possess excellent organizational and interpersonal skills, be a flexible problem solver, and demonstrate analytical thinking. Moreover, familiarity with Telecom Products and Services, experience in reporting and metrics, and financial management expertise are highly valued. Please note that this role may involve working in rotational shifts. If you are ready to leverage your skills and experience to drive operational excellence and business growth, we invite you to join our team at Accenture.,

Role & responsibilities GenAI/LLM Skills AI& Machine learning algorithms, Python, R or other languages used in AI, Natural Language Processing (NLP). Understanding of RAG, neural networks, and other AI/ML concepts, AI/ML frameworks like TensorFlow, PyTorch

Role & responsibilities: Design, develop, and optimize OpenAI-powered applications, including multi-agent frameworks, chatbots, and AI-based customer support systems. Leverage agentic technologies (e.g., Autogen framework) to implement AI agents capable of collaborating and completing complex tasks autonomously. Build and maintain backend services using Python or .NET to support OpenAI integrations. Work with custom datasets, applying techniques such as chunking, embedding, and vector search for model fine-tuning and retrieval-augmented generation (RAG). Integrate Azure Cognitive Services (e.g., Text Analytics, Translator, Form Recognizer) to enhance functionality and intelligence of AI solutions. Ensure scalable and secure deployment of AI solutions on Azure, using services like Azure Functions, Azure App Service, and Azure Kubernetes Service (AKS). Regularly evaluate and fine-tune GPT models to ensure high performance and relevance. Collaborate with cross-functional teams, including product, design, and QA, to ensure seamless development and deployment pipelines. Stay up to date with advancements in OpenAI, Azure AI, and agent-based technologies, and proactively contribute innovative ideas. Required Skills and Experience: Bachelor's degree in Computer Science, Engineering, or related field. Proficient in Python for backend and AI integration development. Strong experience with OpenAI GPT models and their practical applications. Experience with agentic technologies (e.g., Autogen, LangGraph, CrewAI) for multi-agent systems. Familiarity with Microsoft Azure Cognitive Services and Azure AI Studio. Solid grasp of machine learning fundamentals, including training, fine-tuning, and evaluating language models. Practical knowledge of Natural Language Processing (NLP) techniques. Hands-on experience with CI/CD tools such as Google Cloud Build, Jenkins, GitHub Actions, or Azure DevOps. Ability to work collaboratively in an agile, team-oriented environment under tight deadlines. Excellent problem-solving, debugging, and analytical skills. Desirable Skills: Masters degree or higher in AI, ML, or a related technical field. Prior experience in chatbot development for customer service or enterprise use cases. Certification(s) in Microsoft Azure, OpenAI, or machine learning technologies. Experience deploying and managing OpenAI solutions in Azure environments. Familiarity with RAG architectures, Azure AI Search, and blob storage indexing. Knowledge of Copilot Studio, Power Platform AI builder, or Conversational AI tools.

Role & Responsibilities: Should be able to code in Python and work with simple to complex SQL Work as independent contributor in building AI solutions using latest tech stack. Should be able to research, learn and implement latest models in AI and GenAI Identify, analyse, and interpret trends or patterns in complex datasets. Collaborate with team, to prioritize business and information needs. Serve as a consultant for clients nationwide. Identify and define process improvement opportunities. Excellent problem-solving ability and verbal communication. Experience Atleast 3 years of relevant experience in Building AI solutions. Proficiency in programming languages such as Python, FastAPI, SQL or PySpark(good to have) Experience in developing conversational AI or virtual assistant applications. Proven experience in building and deploying applications using LLMs like OpenAI GPT-4o, Claude, Llama, Grok, Gemini or similar Hands-on experience in building GenAI Applications. Good to have working experience in building Agentic AI applications. Familiarity with acquiring and managing huge and complex data from various sources, including structured and unstructured data sources. Extensive experience with Cloud platforms, particularly Microsoft Azure. Knowledge of natural language processing (NLP) and information retrieval Have knowledge and hands-on experience with LangChain Framework, Azure OpenAI, Azure AI Search Service, Indexing, and Embedding techniques Good to have Application development experience using AI models and API integrations. Hands-on experience in AI, ML and Deep Learning algorithms like Regression, Decision Trees, Neural networks Experience in working with Azure Cosmos DB, Azure Blobs, Azure Functions, and App Service

We are looking for a GenAI/ML Engineer to design, develop, and deploy cutting-edge AI/ML models and Generative AI applications . This role involves working on large-scale enterprise use cases, implementing Large Language Models (LLMs) , building Agentic AI systems , and developing data ingestion pipelines . The ideal candidate should have hands-on experience with AI/ML development , Generative AI applications , and a strong foundation in deep learning , NLP , and MLOps practices. Key Responsibilities Design, develop , and deploy AI/ML models and Generative AI applications for various enterprise use cases. Implement and integrate Large Language Models (LLMs) using frameworks such as LangChain , LlamaIndex , and RAG pipelines . Develop Agentic AI systems capable of multi-step reasoning and autonomous decision-making . Create secure and scalable data ingestion pipelines for structured and unstructured data, enabling indexing, vector search, and advanced retrieval techniques. Collaborate with cross-functional teams (Data Engineers, Product Managers, Architects) to deploy AI solutions and enhance the AI stack. Build CI/CD pipelines for ML/GenAI workflows and support end-to-end MLOps practices. Leverage Azure and Databricks for training , serving , and monitoring AI models at scale. Required Qualifications & Skills (Mandatory) 4+ years of hands-on experience in AI/ML development , including Generative AI applications . Expertise in RAG , LLMs , and Agentic AI implementations. Strong experience with LangChain , LlamaIndex , or similar LLM orchestration frameworks. Proficiency in Python and key ML/DL libraries : TensorFlow , PyTorch , Scikit-learn . Solid foundation in Deep Learning , Natural Language Processing (NLP) , and Transformer-based architectures . Experience in building data ingestion , indexing , and retrieval pipelines for real-world enterprise use cases. Hands-on experience with Azure cloud services and Databricks . Proven track record in designing CI/CD pipelines and using MLOps tools like MLflow , DVC , or Kubeflow . Soft Skills Strong problem-solving and critical thinking ability. Excellent communication skills , with the ability to explain complex AI concepts to non-technical stakeholders. Ability to collaborate effectively in agile , cross-functional teams . A growth mindset , eager to explore and learn emerging technologies. Preferred Qualifications Familiarity with vector databases such as FAISS , Pinecone , or Weaviate . Experience with AutoGPT , CrewAI , or similar agent frameworks . Exposure to Azure OpenAI , Cognitive Search , or Databricks ML tools . Understanding of AI security , responsible AI , and model governance . Role Dimensions Design and implement innovative GenAI applications to address complex business problems. Work on large-scale, complex AI solutions in collaboration with cross-functional teams. Take ownership of the end-to-end AI pipeline , from model development to deployment and monitoring. Success Measures (KPIs) Successful deployment of AI and Generative AI applications . Optimization of data pipelines and model performance at scale. Contribution to the successful adoption of AI-driven solutions within enterprise use cases. Effective collaboration with cross-functional teams, ensuring smooth deployment of AI workflows. Competency Alignment AI/ML Development : Expertise in building and deploying scalable and efficient AI models. Generative AI : Strong hands-on experience in Generative AI , LLMs , and RAG frameworks. MLOps : Proficiency in designing and maintaining CI/CD pipelines and implementing MLOps practices . Cloud Platforms : Experience with Azure and Databricks for AI model training and serving.

GenAI Technical Lead_Full-time_Bangalore/Pune/Navi Mumbai/Noida/Hyderabad/Chennai Job Title: GenAI Technical Lead Experience Required: 8-10 Years Location: Bangalore/Pune/Navi Mumbai/Noida/Hyderabad/Chennai Employment Type: Full-time Primary Skills: Gen Ai, Azure Open Ai, Python and which are mentions in cheat sheet Job Description: Key Responsibilities: * Application Development: Build GenAI applications from scratch using frameworks like Langchain, LangGraph and LlamaIndex. * Agentic AI framework: Practical knowledge of Multi agentic AI frameworks like Langgraph, Autogen and Crew AI * Python Programming: Develop high-quality, efficient, and maintainable Python code for GenAI solutions. * Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. * Front-End Integration: Implement user interfaces using front-end technologies like React, Streamlit, and AG Grid, ensuring seamless integration with GenAI backends. * Data Modernization and Transformation: Design and implement data modernization and transformation pipelines to support GenAI applications. * OCR and Document Intelligence: Develop solutions for Optical Character Recognition (OCR) and document intelligence using cloud-based tools. * API Integration: Use REST, SOAP, and other protocols to integrate APIs for data ingestion, processing, and output delivery. * Cloud Platform Expertise: Design and deploy scalable AI solutions leveraging a comprehensive suite of Azure AI services. Knowledge of AWS for deploying and managing GenAI applications is an added advantage. * Fine-Tuning LLMs: Apply fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLMs for specific use cases. * LLMOps Implementation: Set up and manage LLMOps pipelines for continuous integration, deployment, and monitoring. * Responsible AI Practices: Ensure ethical AI practices are embedded in the development process. * RAG and Modular RAG: Implement Retrieval-Augmented Generation (RAG) and Modular RAG architectures for enhanced model performance. * Data Curation Automation: Build tools and pipelines for automated data curation and preprocessing. * Technical Documentation: Create detailed technical documentation for developed applications and processes. * Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to deliver high-impact solutions. * Mentorship: Guide and mentor junior developers, fostering a culture of technical excellence and innovation. Required Skills : * Python Programming: Deep expertise in Python for building GenAI applications and automation tools. * Productionization of GenAI application beyond PoCs Using scale frameworks and tools such as Pylint,Pyrit etc. * LLM and Agentic Frameworks: Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. * Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. * Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. * Fine-tune SLM(Small Language Model) for domain specific data and use cases. * Prompt injection fallback and RCE tools such as Pyrit and HAX toolkit etc. * Anti-hallucination and anti-gibberish tools such as Bleu etc. * Front-End Technologies: Strong knowledge of React, Streamlit, AG Grid, and JavaScript for front-end development. * Cloud Platforms: Extensive experience with Azure, GCP, and AWS for deploying and managing GenAI and Agentic AI applications. * Fine-Tuning Techniques: Mastery of PEFT, QLoRA, LoRA, and other fine-tuning methods. * LLMOps: Strong knowledge of LLMOps practices for model deployment, monitoring, and management. * Responsible AI: Expertise in implementing ethical AI practices and ensuring compliance with regulations. * RAG and Modular RAG: Advanced skills in Retrieval-Augmented Generation and Modular RAG architectures. * Data Modernization: Expertise in modernizing and transforming data for GenAI applications. * OCR and Document Intelligence: Proficiency in OCR and document intelligence using cloud-based tools. * API Integration: Experience with REST, SOAP, and other protocols for API integration. * Data Curation: Expertise in building automated data curation and preprocessing pipelines. * Technical Documentation: Ability to create clear and comprehensive technical documentation. * Collaboration and Communication: Strong collaboration and communication skills to work effectively with cross-functional teams. * Mentorship: Proven ability to mentor junior developers and foster a culture of technical excellence.

Lead Business Analys t _Full-time_Bangalore/Pune/Navi Mumbai/Noida/Hyderabad/Chennai Job Title: Lead Business Analys t Experience Required: 7-10 Years Location: Bangalore/Pune/Navi Mumbai/Noida/Hyderabad/Chennai Employment Type: Full-time Primary Skill: Business Analyst + Scrum Master-IAM ( masters degree for IIMs Mandate) Job Description: Job Responsibilities: * Identification & implementation of modern Product/Project management approaches for complex software-intensive projects. * Education from premier institute at masters level * Work with teams at both the Program level and solution level to assist in developing strategic themes, creating program vision, and prioritizing the program backlog. * Interacting with the Platform team or across multiple application teams and with Program leads daily to perform functional and technical requirements analysis, documentation, and validation for new and existing ML applications and Infrastructure development. * Provide day-to-day support to cultivate and improve all team members to become productive Agile Practitioners. * Create new or update existing user stories, acceptance criteria, wireframes, and other supporting documentation. * Work closely with the Program lead Interpret requirements, ideas and converts to program deliverables. * Ensures effective communication between technical and non-technical functions. * Keep the project management team informed of key issues and changes which may impact expected business results. * Contribute to research efforts in Machine Learning to enable development of new state-of-the-art algorithms and ML infrastructure. * Contribute to the integration of algorithms within larger programmatic systems that require these capabilities. * Assist in representing the organization by providing input on technical issues for specific projects including preparing and presenting technical reports. * Working with teams enabling state of the art technologies in AI/ ML in Drug discovery R&D, Safety, Supply chain, Digital Health * Research, develop, and apply solutions to moderately complex Machine Learning problems of programmatic interest. * Guide scrum-team through all sprints of a program increment, removing impediments and championing the team. * Update agile tracking systems to provide transparency on program and sprint backlogs. * Assist with internal and external communication. * Promote a collaborative team environment that fosters experimentation, creativity, and innovation. Qualifications: * 3-8 years of experience in Product Management, Business Analysis, including aspects of business process and requirements elicitation and documentation. * Masters degree for IIMs * Experience with GenAI applications * Experience working within Cloud, SaaS, AI/ML applications will be an added advantage. * Experience working in the domain area of ML, MLOPS, ML Infrastructure. * Experience working with Cloud Technologies including AWS or Azure * Experience working in a SAFe environment with tools like Jira and Confluence * Experience coordinating multi-disciplinary technical teams to develop requirements and design documentation. * Experience writing software development requirements, including Waterfall SDLC and Agile * Experience with analyzing disparate systems to identify gaps and potential impacts. * Experience in conducting experiments, training, and validating new state-of-the-art Machine Learning algorithms & infrastructure for pharmaceutical domains. * Pharmaceutical domain experience preferred. * A good leader who can communicate the project plans and status of projects effectively. * A self-motivated person who can work calmly under pressure and meet deadlines. * Excellent problem-solving, organizational, analytical, and influencing skills, with proven ability to take initiatives. ----------------------- If you are interested, please share your updated resume along with the following details for the next steps: # Your full name ( First : Middle : Last ) ( All expanded ): # Present Employer Name & Work Location: # Permanent / Contract Employee: # Current Location: # Highest Qualification (University Name and Passing year): # Total experience: # Current CTC and take home: # Expected CTC and take home: # Official Notice Period: # Are you serving notice period if yes then mention LWD (Last Working Day): # Any offer you are holding (if yes please share the offer amount): # Date of Birth(DOB): # PAN Card Number (To upload your profile in client's ATS):