1443 Generative Ai Jobs - Page 21

JD .NET Fullstack Programming Languages: Proficient in C#, .NET Core, ASP.NET, MVC, Angular/React, Web API, and Python. AI & ML Exposure: Experience with Generative AI, Large Language Models (LLMs). Frameworks & Libraries: OpenAI API, Lang Chain, and RAG techniques. Database: Proficient with SQL Server and vector databases(Pinecone/Chroma). DevOps & Deployment: CI/CD pipelines and deploying AI models. Please find the JD below: Job role: Sr. Software Engineer JD: Primary responsibilities: Analyze and understand the functional and technical requirements. Hands-on development experience with management and implementation of APIs and microservices. Experience with complex development patterns, particularly around extending/enhancing current portal capabilities. Implement solutions aligned to the enterprise strategy leveraging strategic tools/technologies, patterns, processes. Participate in Agile/Scrum development process. Communicate effectively with other engineers and QA. Setup of pro-active alerts and reports for Application availability and performance Monitoring Identify opportunities to fine-tune and optimize .Net based applications. Required Qualifications: 6+ years of experience working with .NET Technologies: C#, ASP.NET, MVC, Web API, WebServices 3+ years of experience with front-end technologies like Angular and React 4+ years of experience with SQL Server, MYSQL, Oracle or other comparable RDMS database system 3+ years with Data Modeling, T-SQL development, database performance monitoring and tuning using SQL Server, MYSQL, Oracle or other comparable RDMS databases 2+ years of experience with CI/CD tools like Jenkins, GitHub Actions 3+ years of experience with APIs / micro-services 2+ years of experience with code scanning and security tools for code vulnerability, code quality, secret scanning, penetration testing and threat modeling 2+ years of experience with unit testing frameworks Preferred Qualifications: Bachelors degree in computer science or related field Experience in the Healthcare industry Experience with authorization frameworks like oAuth 2.0, SAML or OpenID Connect Experience with APM tools like Datadog, Dynatrace, Splunk Experience with NoSQL database like MongoDB, DynamoDB Knowledge of computing concepts including API design, creating, fault tolerance, available and scalable distributed systems, multithreaded programming, performance tuning, and security Experience with Linux or Unix platform Experience with RabbitMQ Experience with Redis Experience with event steaming platforms such as Kafka Proven excellent problem-solving skills Experience with Azure DevOps, GitHub action

Responsibilities: Exp Machine Learning ,NLP, Generative AI, LLm ,API ,django . Develop CRM solutions with Hubspot & FastAPI/Flask frameworks. Design, develop & maintain RAG applications on Cloud platforms. Deploy Model Context Protocol server

Technical Team Lead | Nashik/Remote | 5+ Years of Experience Job Description: Are you ready to lead cutting-edge development initiatives and build the next generation of GenAI-driven products?Were looking for a Technical Team Lead with a strong engineering mindset, hands-on expertise, and a passion for mentoring high-performing teams.If you thrive at the intersection of Python, Node.js, modern web frameworks, and Generative AI, this is the role for you! What you'll do: Lead, mentor, and inspire a team of backend & full-stack engineers. Architect scalable, reliable web applications using Python (Django/Flask), Node.js (NestJS), and Next.js. Integrate Generative AI capabilities (LLMs, prompt engineering, embeddings) into real-world products. Collaborate with cross-functional teams to deliver seamless solutions. Set technical standards, oversee CI/CD pipelines, and ensure system performance. Contribute to growing the team by hiring top AI and full-stack talent. Your Expertise: 7+ years of full-time software development experience. Advanced Python (Django/Flask) and strong Node.js, TypeScript, NestJS skills. Proficiency with Next.js and modern SSR web apps. Understanding of Generative AI concepts (bonus). Microservices, REST APIs, cloud platforms, and Agile practices. Leadership and mentoring experience in a fast-paced environment Why Join Us: Lead strategic GenAI & full-stack initiatives. Shape a next-gen AI development team. Be part of a culture that values innovation, autonomy & growth. Competitive pay and flexible, remote-friendly work policies. Tech Stack Highlights Python (Django/Flask) | Node.js (NestJS) | Next.js | PostgreSQL/MySQL | Docker/Kubernetes | AWS/GCP | Generative AI tools Interested candidates can share their resumes at hr@insnapsys.com or call us at +91 91567 97671.

We are seeking a passionate and experienced Generative AI Engineer to join our AI/ML team. You will be responsible for building, fine-tuning, and deploying state-of-the-art generative models (LLMs, diffusion models, etc.) to solve real-world problems across domains. Key Responsibilities: Design and develop generative AI models using LLMs (GPT, LLaMA, Mistral, Claude, etc.) Fine-tune and optimize foundation models for specific business use cases Build scalable pipelines for data preprocessing, model training, and inference Collaborate with product and engineering teams to integrate AI solutions into production Stay updated with the latest research in generative AI and apply it to projects Required Skills: 49 years of experience in AI/ML, with at least 2 years in generative AI Strong programming skills in Python and experience with frameworks like PyTorch or TensorFlow Experience with Hugging Face Transformers, LangChain, or similar libraries Familiarity with prompt engineering, RAG, and LLMOps Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes) Preferred Qualifications: Master’s or Bachelor's in Computer Science, AI, or related field Publications or contributions to open-source AI projects Experience with multimodal models (text-to-image, audio, video)

Mandatory Skills : - SQL - Data science - AI/ML - GenAI - Data Engineering Optional Skills : Data Modelling Role & Responsibilities : - Strong Python programming expertise - Hands-on experience with AI-related Python tasks (e.g., data analysis, modeling) - Experience with analyzing discrete datasets - Proficiency in working with pre-trained AI models - Problem-solving ability in real-world AI use cases Python Proficiency : - Speed and accuracy in writing code - Understanding of syntax and debugging without external help - Ability to solve complex problems with minimal Google reliance. AI & Data Analysis Skills : - Hands-on expertise in data manipulation and analysis - Understanding of AI modeling and implementation Problem-Solving & Debugging : - Ability to analyze error logs and fix issues quickly - Logical approach to troubleshooting without relying on trivial searches Practical Application & Use Cases : - Ability to apply AI/ML techniques to real-world datasets - Experience with implementing pre-trained models effectively Interview Task : - Given a dataset , candidates must perform multivariate analysis. - Implement modeling using pre-trained models. - Debugging ability without excessive reliance on Google. - Live coding assessment with an open-book approach (Google allowed but should not rely on basic algorithm searches). Role-Specific Expertise : - If applying for AI Architect, the assessment will focus on AI-related tasks. - If applying for Data Engineer, tasks will be aligned with data engineering requirements

Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend. - Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements. - API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services. - LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions. - Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities. - Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness. - Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle. - Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment. - Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products. - Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions. - Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. - Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies. - Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+). - Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS. - API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs. - AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications. - Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services). - LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications. - Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB). - DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions). - Testing : Experience with writing unit, integration, and end-to-end tests. - Problem-Solving Skills : Excellent analytical and problem-solving abilities. - Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. - Collaboration : Ability to work effectively in a collaborative team environment

We are looking for Senior Software Engineer (AI/ML NLP & Generative AI) , You'll make an impact by Design, develop, and optimize NLP-driven AI solutions using state-of-the-art models and techniques (NER, embeddings, summarization, etc.). Build and productionize RAG pipelines and agentic workflows to support intelligent, context aware applications. Fine-tune, prompt-engineer, and deploy LLMs (OpenAI, Anthropic, Falcon, LLaMA, etc.) for domain-specific use cases. Collaborate with data scientists, backend developers, and cloud architects to build scalable AI first systems. Evaluate and integrate third-party models/APIs and open-source libraries for generative use cases. Continuously monitor and improve model performance, latency, and accuracy in production settings. Implement observability, performance monitoring, and explainability features in deployed models. Ensure solutions meet enterprise-level requirements for reliability, traceability, and maintainability. Use your skills to move the world forward! Master's or Bachelor's degree in Computer Science, Machine Learning, AI, or a related field. 5+ years of overall experience in AI/ML, with at least 2+ years in NLP and 1'2 years in Generative AI. Strong understanding of LLM architectures, fine-tuning methods (LoRA, PEFT), embeddings, and vector search. Experience in designing and deploying RAG pipelines and working with multi-step agent architectures. Proficiency in Python and frameworks like Lang Chain, Transformers (Hugging Face), Llama Index, Smol Agents, etc. Familiarity with ML observability and explainability tools (e.g., Tru Era, Arize, Why Labs). Knowledge of cloud-based ML services like AWS Sagemaker, AWS Bedrock, Azure OpenAI Service, Azure ML Studio, and Azure AI Foundry. Experience in integrating LLM-based agents in production environments. Understanding of real-time NLP challenges (streaming, latency optimization, multi-turn dialogues). Familiarity with Lang Graph, function calling, and tools for orchestration in agent-based systems. Exposure to infrastructure-as-code (Terraform/CDK) and DevOps for AI pipelines. Domain knowledge in Electrification, Energy, or Industrial AI is a strong plus.

We are looking for Digital Success Manager Forge Trustful Partnerships- You'll be the bridge between Business Lines and the latest tech domains, fostering trustful relationships and understanding their needs deeply to craft tailored solutions. Be the Digital Pathfinder- In the dynamic landscape of the Americas region, you'll be the scout, identifying opportunities where digital solutions can make a real impact and drive value. Shape the Future- With your proactive mindset, you'll not just identify opportunities but also mold them into tangible projects, providing structure and vision through project proposals. Lead Implementation - Dive into the heart of projects, defining implementation strategies that involve all stakeholders, both internal and external, ensuring not just technical feasibility but also innovation. Champion Customer Success - Your dedication extends beyond project delivery. You'll be the voice of our customers within the organization, ensuring their success and satisfaction throughout the engagement. Architect the Next Generation - Guide the development of new solutions and services, leveraging the latest technologies like Generative AI, and ensuring they seamlessly integrate with our existing tech ecosystem, including AWS, Mendix, ServiceNow, and more. Drive Stakeholder Alignment - Collaborate closely with management across all Digital Solutions Domains, HQ, and the Americas region, facilitating alignment and ensuring everyone is on board with our digital journey. You'd describe yourself as You have a successfully completed university degree in Computer Science, Business Administration and Management or other equivalent disciplines and at least 4+ years of experience in a corporate environment. You have experience providing your input as a Business Analyst including innovative technologies such as process mining and AI. With your customer facing skills and experience in Customer Success Management, ideally gained within a partner/consulting organization, you inspire your peers for new technologies and processes. You have strong experience and knowledge in technology domains such as generative AI, business process management, RPA and low code platforms is of advantage. You have a good understanding of data analytics. You have strong experience with market-leading technical solutions (e.g. AWS, Celonis, Mendix, SNOW). You can multitask in a fast-changing environment and bring high-energy, you have analytical thinking and project management ability (Agile delivery, SCRUM, ). You have strong verbal and written communication skills with customers, stakeholders, and technical teams in English.

Job Title: Senior AI Engineer (Clinical Research) Required Experience: 3+ years Location: Pune Job Description: We are seeking a highly skilled and experienced Senior AI Engineer to lead the development and deployment of advanced artificial intelligence and machine learning solutions for clinical research initiatives. This role will drive innovation in clinical data extraction, patient cohort analysis, protocol optimization, and predictive modeling to support better decision-making and operational efficiencies in clinical trials. This position requires a strong combination of technical expertise, leadership skills, and business acumen . Key Responsibilities 1. AI/ML Development & Deployment Develop and deploy machine learning models for extracting, classifying, and analyzing structured and unstructured clinical data (e.g., EMRs, CRFs, protocols). Apply NLP techniques for entity recognition, relationship extraction, summarization, and semantic search of clinical trial texts. Build predictive models for trial success, patient recruitment, dropout risk, and adverse event detection. Lead the development of GenAI workflows, including LLM/SLM/VLM-based pipelines and multi-modal AI applications. Implement computer vision and OCR/IDP models for clinical document processing and imaging. 2. RAG (Retrieval-Augmented Generation) & LLM Engineering Design and optimize RAG workflows, including embedding and retrieval pipelines. Work with Gemini Flash 2.5 or similar models (e.g., GPT-4, Claude) for LLM-based clinical data tasks. Fine-tune prompt engineering, context window optimization, and chunking strategies. Integrate and manage vector stores such as FAISS, Chroma, or Vertex AI Matching Engine. 3. Data Engineering & Pipelines Collaborate with data engineers to build scalable pipelines for ingesting and transforming clinical and biomedical data (e.g., PubMed, CT.gov, EHR, imaging). Handle data cleansing, harmonization, annotation, and transformation for ML readiness. Develop ingestion processes for structured and unstructured sources: PDF, SCORM, HTML, internal documents. 4. Evaluation, Monitoring & Regulatory Compliance Evaluate models using domain-specific metrics (e.g., precision@k, response confidence) and build continuous feedback loops. Ensure transparency, explainability, and reproducibility in model design. Maintain compliance with HIPAA, GDPR, and GxP/ISO 13485 standards. 5. Leadership & Collaboration Lead and mentor a team of junior data scientists and ML engineers. Define and drive AI strategy aligned with clinical and regulatory objectives. Collaborate with clinical scientists, statisticians, product managers, and regulatory teams to translate clinical goals into technical AI solutions. 6. Project & Technical Ownership Own end-to-end execution of AI projects: scoping, design, development, deployment, monitoring. Provide technical direction in deep learning (CNNs, Capsule Networks, Variational Autoencoders, Graph Neural Networks). Ensure MLOps best practices, including CI/CD, monitoring, logging, and governance in cloud environments. Technical Skills & Experience Must-Have: Proficiency in Python (FastAPI/Flask), LangChain, HuggingFace, and vector database integrations. Experience with embedding techniques and vector similarity (cosine, dot product, top-k retrieval). Hands-on experience with GenAI models (e.g., Gemini Flash 2.5, GPT-4, Claude). Knowledge of biomedical ontologies (UMLS, SNOMED CT, MeSH) and EDC systems. Familiarity with CDISC, HL7 FHIR, and OMOP CDM standards for clinical data. Proven experience in deploying AI models on cloud platforms: AWS SageMaker, GCP Vertex AI, or Azure ML. Desirable: Exposure to MLOps, scientific ML, and data visualization tools. Experience with Google Cloud (AlloyDB, Vertex AI APIs, secure deployments). Working knowledge of LMS content ingestion (PDFs, SCORM, HTML). Familiarity with frameworks like LlamaIndex or Haystack. Qualifications Bachelors or Masters in Computer Science, Biomedical Engineering, Data Science, or related field. PhD preferred. 3+ years of AI/ML experience, with 1+ years in clinical research or healthcare. Strong leadership, communication, and stakeholder management skills. Demonstrated success in translating complex clinical problems into deployable AI solutions.

The candidate for this role should have a strong background in machine learning algorithms, deep learning frameworks, and practical experience in building and deploying AI solutions. You will collaborate with cross-functional teams to design, develop, and implement innovative AI-driven products and solutions. Your responsibilities will include designing, developing, and deploying machine learning and deep learning models for various business applications. Leading and contributing to projects involving Generative AI, collaborating with data scientists, software engineers, and product managers to deliver end-to-end AI solutions, analyzing and preprocessing large datasets, developing predictive models and algorithms, evaluating and optimizing model performance, and staying up to date with the latest advancements in AI/ML and Generative AI research and technologies. You should be a self-directed and proactive professional who takes initiative, adapts quickly to new technologies and changing requirements, and strategically applies knowledge to solve complex business problems. It is essential to stay current with emerging AI trends, drive innovation, maintain a focus on code quality and best practices. To qualify for this role, you will need a Bachelor's degree in computer science, Data Science, Statistics, or a related field. 3-4 years of experience in AI/ML project development with a minimum of 2 years of hands-on experience with Generative AI is required. Proficiency in programming languages such as Python, experience with data manipulation libraries, and a solid grasp of machine learning techniques and algorithms are essential. Hands-on experience with various AI technologies and frameworks, as well as experience developing and deploying ML models via REST APIs, is also necessary. Preferred qualifications include relevant certifications in data science from reputed universities specializing in AI, strong analytical and problem-solving skills, effective verbal and written communication skills, and good presentation skills. At Emerson, a workplace where every employee is valued, respected, and empowered to grow is prioritized. The company fosters an environment that encourages innovation, collaboration, and diverse perspectives. Career development, inclusive culture, competitive benefits plans, flexible time off options, and employee wellbeing are key priorities at Emerson. Emerson is a global leader in automation technology and software, helping customers in critical industries operate more sustainably while improving productivity, energy security, and reliability. The company celebrates diversity, embraces challenges, and offers opportunities for professionals at all stages of their careers to make a difference.,

As a Senior Applied Scientist at our organization, you will play a crucial role in the development of cutting-edge generative AI solutions for Oracle Analytics. Your primary responsibilities will include innovating new methods for natural language interaction with structured data, building intelligent systems for comprehensive data analysis, creating advanced personalization techniques, and seamlessly integrating your solutions into industry-specific intelligent applications. Your expertise in machine learning, data science, and generative AI will be essential for this role, particularly in areas such as LLMs (fine-tuning, adaptation, personalization), agent frameworks, and tool orchestration. It is preferred that you have practical experience in machine learning techniques for structured data, tabular representation learning, graph neural networks, time series modeling, and operations research/mathematical optimization. Successful candidates will have a proven track record of designing innovative solutions that push the boundaries of technology in alignment with business needs. This can be demonstrated through publications in prestigious conferences or journals and a history of impactful contributions to software products that operate at scale. If you are passionate about leveraging your expertise in machine learning and generative AI to drive advancements in intelligent applications, collaborate with a diverse team, and make a significant impact in the field, we encourage you to apply for this exciting opportunity.,

As a Firefly models & Services architect within Adobe's Firefly Gen AI Models and services group, you will play a crucial role in supporting the creation, enhancement, and deployment of model pipelines for Adobe's top products across various domains. Your expertise in machine learning will be essential in shaping the future of digital experiences by architecting the pipelines of the future foundation models at Adobe. You will collaborate closely with a talented team of ML and service engineers to drive innovation and bring impactful features to Adobe's products, reaching millions of users worldwide. Your responsibilities will include designing and optimizing large-scale foundation model pipelines in Generative AI, developing GenAI backend services for Firefly, and collaborating with Applied researchers and engineers to bring ideas to production. As a technical leader, you will provide mentorship to junior team members, explore new ML technologies to enhance engineering effectiveness, and contribute to the continuous improvement of Adobe's GenAI engineering processes. Your strong communication skills, technical leadership abilities, and hands-on experience with Generative AI technologies will be instrumental in your success in this role. To thrive in this position, you should possess a Master's or Ph.D. in Computer Science, AI/ML, or related fields, along with at least 12 years of experience and 3+ years in a Lead/Architect role. Your expertise in the latest Generative AI technologies, such as GAN, diffusion, and transformer models, as well as your experience with large-scale GenAI model pipelines and ML feature shipping, will set you up for success. Additionally, your collaboration skills and experience in tech leading time-sensitive and business-critical GenAI projects will be valuable assets in this role. Preferred qualifications include experience in training or optimizing models using CUDA, Triton, TRT, and converting models from frameworks like PyTorch and TensorFlow to ensure compatibility and optimized performance across different platforms. A good publication record in Computer Science, AI/ML, or related fields will further strengthen your candidacy for this position. At Adobe, you will have the opportunity to immerse yourself in a supportive work environment that fosters creativity, curiosity, and continuous learning. If you are seeking to make a significant impact and grow your career in a dynamic and innovative setting, Adobe is the place for you. Join us in shaping the future of digital experiences and explore the meaningful benefits we offer to our employees. Please note that Adobe is committed to accessibility, and if you require accommodation during the application process, you can reach out to accommodations@adobe.com or call (408) 536-3015.,

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

Job Description: We are looking for a Python technical architect responsible for building Python applications and provide best fit architectural solutions for one or more projects Will have to leverage his or her knowledge and skills with Java technologies and implement solutions create technology differentiation and leverage partner technologies Key Responsibilities: As part of the Infosys delivery team your primary role would be to ensure effective Design Development Validation and Support activities to assure that our clients are satisfied with the high levels of service in the technology domain You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers You would be a key contributor to building efficient programs systems If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: Knowledge of architectural design patterns performance tuning database and functional designs Hands on experience in Service Oriented Architecture Ability to lead solution development and delivery for the design solutions Experience in designing high level and low level documents is a plus Good understanding of SDLC is a pre requisite Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Should be able to use design patterns to make the application reliable scalable and highly available Should be able to design Microservices and Serverless based architecture Work with client architect and define top notch solutions Python Generative AI Azure Open AI GIS Additional Responsibilities: Good verbal and written communication skills Experience in leading the teams technically Ability to communicate with remote teams in effective manner High flexibility to travel Strong analytical logical skills and team leading skills Engage in business development as well as in building and maintaining client relationships Preferred Skills: Technology->Machine Learning->Python,Domain->Communication Equipment->Communication Equipment->GIS,Technology->Cloud Platform->Azure IOT,Technology->Machine Learning->Generative AI->closed models (azure open ai)

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Principal Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Basics of Statistics Experience in ML models Linear Regression, Logistic regression, Random forest etc Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. Experience in Azure platform Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

. Overall Focus: Designing, developing, training, deploying, and maintaining AI/ML models, encompassing both classical machine learning techniques and advanced Generative AI/Large Language Models (LLMs). General Responsibilities (Applicable to all AI/ML Engineers): Data preprocessing, feature engineering, model selection, and rigorous hyperparameter tuning. Developing robust and scalable APIs for AI/ML model consumption and integration. Implementing MLOps practices for model monitoring, performance tracking, and automated retraining strategies. Continuously researching and applying advancements in the AI/ML field to project work Required Specialized Skill Sets & Experience: A. Classical Machine Learning (Essential expertise): Deep practical expertise in algorithms such as regression, classification, clustering, anomaly detection, dimensionality reduction, time series analysis, etc. Strong statistical foundation, experimental design, and model evaluation techniques (e.g., cross-validation, precision/recall, ROC/AUC, F1-score). B. Generative AI & LLMs (Essential expertise): Core GenAI Development: Proficiency with open-source GenAI frameworks and libraries (e.g., Hugging Face Transformers, LlamaIndex, Langchain, FAISS). Deep experience in developing and fine-tuning RAG (Retrieval Augmented Generation) based GenAI solutions. Hands-on experience architecting and utilizing major cloud-based GenAI platforms (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI). Applied GenAI Capabilities: Leveraging various GenAI models for tasks such as: Text Processing: Advanced summarization, complex question answering, nuanced text generation, semantic search, knowledge extraction, and high-quality embedding generation. Image Processing (as relevant): Image generation/manipulation, content analysis, object recognition leveraging foundation models. Video Processing (as relevant): Video content analysis, summarization, event detection using GenAI approaches. Fundamental GenAI Understanding: Thorough understanding and practical strategies for addressing bias and hallucination in LLMs. Expertise in vector embeddings , various similarity comparison techniques (e.g., cosine similarity, dot product), and the practical differences between keyword-based vs. semantic search . C. Essential Cross-Cutting Experience (Relevant across the AI/ML team): Document Management & Processing: Strong experience with advanced OCR technologies and document digitization workflows. Proven ability in information extraction from diverse document types (structured, semi-structured, unstructured PDFs, images) and document understanding using ML/AI techniques. D. Desirable (Good to Have) Experience: Agentic AI Experience designing or implementing AI agents or multi-agent systems. MCP (Model Compliance/Criticality/Card Platform - please specify if this means something else in your context ) Relevant Project Experience: Experience aiwith platforms or processes for model governance, documentation, risk assessment, or similar.

Position Overview We are seeking an experienced AI/ML Architect with 10+ years of experience, specializing in ML and Gen AI. The ideal candidate will possess the technical depth to design and implement cutting-edge AI/ML solutions, particularly leveraging large language models (LLMs) and agentic workflows, while translating business requirements into actionable technical architectures. This role requires a hands-on professional who thrives in a dynamic environment, delivering impactful AI/ML strategies and solutions. Skills: Technical Expertise Very good Skills in Python, Pandas, NumPy, SQL Excellent understanding of Machine Learning algorithms and metrics. Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with LLM frameworks like LangChain, LlamaIndex, or similar tools. Strong knowledge of at least one hyperscaler (preferably GCP or Azure). Proficiency and understanding of ML APIs on the cloud. Experience in designing and implementing agentic workflows and modular AI solutions using frameworks like LangGraph, Crew.ai, Microsoft Autogen etc. Understanding of data pipelines, ETL frameworks, and big data technologies (e.g., Spark, Snowflake, Hadoop). Architecture Design Expertise in creating AI/ML solution blueprints and technical diagrams. Familiarity with MLOps practices, microservices architecture, containerization (Docker, Kubernetes), and CI/CD pipelines. Excellent understanding in Gen AI frameworks and models. Prompt Engineering, GANs, OpenAI, Dall-E, Stable Diffusion, Langchain, Lllama2. Prior experience in technical presales and building proposal Domain Expertise Preferred domain expertise in consumer/CPG/retail, supply chain Soft Skills Strong communication skills with the ability to present technical solutions to business leaders. Proven ability to collaborate cross-functionally with technical and non-technical teams. Problem-solving mindset with a focus on innovation and impact. Role Description: Solution Design & Architecture Work with business teams to identify requirements and design AI/ML solutions that address key challenges in the consumer/CPG/retail sectors. Develop comprehensive architecture diagrams and technology stacks tailored to business needs. Incorporate LLM frameworks (e.g., LangChain, LlamaIndex) into solution designs to deliver advanced language-based functionalities. Technical Implementation & Agentic Workflows Design and implement agentic workflows using LLMs to automate decision-making and complex processes. Build modular, scalable solutions that integrate with existing enterprise systems and tools. Ensure solutions are aligned with MLOps practices for robust deployment and monitoring. Prototyping & POCs Rapidly develop proof-of-concept (POC) models and prototypes, showcasing the feasibility and value of AI/ML solutions. Test and refine LLM-driven workflows and agent-based models to meet business objectives. Presales Lead AI discussions with prospects presenting Calsofts capabilities and experience and discussing client need Understand client need and design technical solution, high-level work plans, and estimates required for an AI related sales proposal

Job Objective: As VP Architect- Lead the design and development of scalable, reliable, and high-performance architecture for Zwayam. Job Description: In this role you will: Hands-on Coding & Code Review: Actively participate in coding and code reviews, ensuring adherence to best practices, coding standards, and performance optimization. High-Level and Low-Level Design: Create comprehensive architectural documentation that guides the development team and ensures the scalability and security of the system. Security Best Practices: Implement security strategies, including data encryption, access control, and threat detection, ensuring the platform adheres to the highest security standards. Compliance Management: Oversee compliance with regulatory requirements such as GDPR, including data protection, retention policies, and audit readiness. Disaster Recovery & Business Continuity: Design and implement disaster recovery strategies to ensure the reliability and continuity of the system in case of failures or outages. Scalability & Performance Optimization: Ensure the system architecture can scale seamlessly and optimize performance as business needs grow. Monitoring & Alerting: Set up real-time monitoring and alerting systems to ensure proactive identification and resolution of performance bottlenecks, security threats, and system failures. Cross-Platform Deployment: Architect flexible, cloud-agnostic solutions and manage deployments on Azure and AWS platforms. Containerization & Orchestration: Use Kubernetes and Docker Swarm for container management and orchestration to achieve a high degree of automation and reliability in deployments. Data Management: Manage database architecture using MySQL, MongoDB and ElasticSearch to ensure efficient storage, retrieval, and management of data. Message Queuing Systems: Design and manage asynchronous communication using Kafka and Redis for event-driven architecture. Collaboration & Leadership: Work closely with cross-functional teams including developers, product managers, and other stakeholders to deliver high-quality solutions on time. Mentoring & Team Leadership: Mentor, guide, and lead the engineering team, fostering technical growth and maintaining adherence to architectural and coding standards. Required Skills: Experience: 12+ years of experience in software development and architecture, with at least 3 years in a leadership/architect role. Technical Expertise: Proficient in Java and related frameworks like Spring-boot Experience with databases like MySQL, MongoDB, ElasticSearch, and message queuing systems like Kafka, Redis. Proficiency with containerization (Docker, Docker Swarm) and orchestration (Kubernetes). Solid experience with cloud platforms (Azure, AWS, GCP). Experience with monitoring tools (e.g., Prometheus, Grafana, ELK stack) and alerting systems for real-time issue detection and resolution. Compliance & Security: Hands-on experience in implementing security best practices. Familiarity with compliance frameworks such as GDPR and DPDP Architecture & Design: Proven experience in high-level and low-level architectural design. Problem-Solving: Strong analytical and problem-solving skills, with the ability to handle complex and ambiguous situations. Leadership: Proven ability to lead teams, influence stakeholders, and drive change. Communication: Excellent verbal and written communication skills

We are seeking a talented and driven AI Engineer with 3-4 years of experience to lead the development of cutting-edge AI solutions. In this role, you will work on solving complex NLP problems, building AI-powered applications like chatbots, ranking systems, and recommendation engines, and driving end-to-end machine learning projects. You will collaborate with cross-functional teams to deliver scalable, production-ready AI systems that address real-world challenges. Responsibilities: Solve real-world NLP problems using Generative AI and traditional Machine Learning techniques. Build AI-powered applications such as chatbots, ranking systems, and recommendation engines. Design and deploy end-to-end ML pipelines, including prototyping, prompt tuning, result analysis, and iterative fine-tuning. Develop and deploy microservices integrated with databases (e.g., MySQL, MongoDB) to support AI-driven solutions. Implement and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced AI capabilities. Collaborate with product and application teams to understand use cases and deliver tailored solutions. Ensure seamless integration of AI/ML models into production systems with scalability and reliability. Requirements: 2-4 years of experience in Machine Learning, Generative AI, and NLP. Strong programming skills in Python, Spark. Hands-on experience with Generative AI, Machine Learning, and NLP Expertise in prompt engineering, result evaluation, and iterative model fine-tuning. Experience building microservices powered by databases like MySQL or MongoDB. Familiarity with RAG pipelines and deploying AI models in production environments. Proven ability to analyze and refine AI/ML approaches based on performance metrics. Good to have Skills: Experience with Elasticsearch and building search systems (not mandatory). Experience with cloud platforms such as AWS, GCP, or Azure. Familiarity with containerization tools like Docker and orchestration tools like Kubernetes. Strong understanding of software engineering best practices and scalable system design. If you are passionate about building innovative AI solutions and driving impactful projects, we’d love to hear from you!

Hiring Gen AI / AI Engineer (24 yrs exp) to build LLMs, design RAG architectures, and deploy scalable AI systems. Strong Python, PyTorch/TensorFlow, OpenAI/LLaMA, NLP, and cloud (AWS/GCP) skills required. Apply now to build the future of AI!

Role & responsibilities 3+ years of professional software development experience with strong proficiency in Python . Hands-on experience building applications that interact with or utilize Generative AI models (e.g., Large Language Models - LLMs). Familiarity with key Generative AI concepts like prompt engineering, Retrieval-Augmented Generation (RAG). Experience with relevant Python libraries and frameworks for application development (e.g., Flask, FastAPI, Streamlit, LangChain, Hugging Face Transformers). Solid understanding of software engineering principles, including API design, data structures, and algorithms. Experience with version control systems (e.g., Git). Ability to work effectively in a collaborative team environment.

You should have 8 - 10 years of experience in Capital Markets with exposure to brokerage, clearing corporations, depositories, stock exchanges, mutual fund asset management companies, or similar. Along with this, you should possess 5+ years of hands-on experience in custody firms across various areas such as transaction processing and settlement, safekeeping, account opening and onboarding, corporate action processing, proxy services, income collection, tax services, cash management, real-time reporting, and market infrastructure connectivity. It is essential for you to have proficient communication, organizational, and analytical skills. Being team-oriented and having experience working with cross-locational presence are also important qualities. Additionally, having certifications such as CFA, GARP, PRM, PMI, IIBA, or ISTQB would be considered as good to have skills. IT sector experience as a business or test analyst in custody domain-related projects and an understanding of AI/ML applications in custody operations are also beneficial. Your responsibilities will include specializing in Custody Services as a Subject Matter Expert, identifying challenges within global and boutique custody firms, and proposing technology solutions/offerings for the Capital Markets industry. You will need to develop end-to-end workflow schematics for custody operations at client sites, collaborate with AI architects to identify and develop AI/ML and Generative AI use cases for custody operations, and publish thought leadership in the form of whitepapers focusing on industry transformation through modern technology. Conducting solution demonstrations, documenting current-state custody operations, assessing technology use, preparing a target-state operating model, facilitating training to enhance custody domain knowledge, and staying updated with trends in custody services are also part of your responsibilities. The qualifications required for this role are at the Career Level - IC3. About Us: As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. With over 40 years of experience, Oracle has partnered with industry leaders in almost every sector and continues to thrive by operating with integrity. Oracle is committed to growing an inclusive workforce that promotes opportunities for all and encourages innovation from everyone. Oracle offers competitive benefits, including flexible medical, life insurance, and retirement options, and supports its employees with global opportunities where work-life balance flourishes. Oracle is dedicated to including people with disabilities at all stages of the employment process and provides accessibility assistance or accommodation for disabilities upon request via email at accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.,

The role of an I&F Decision Science Practitioner Associate Manager at Accenture requires a candidate with 10-14 years of experience and a qualification in Any Graduation. As a part of the Accenture team, you will be responsible for designing, implementing, and directing a solution architecture to address specific problems and requirements by applying technical, business process, and industry knowledge. Your responsibilities will include analyzing and solving moderately complex problems, creating new solutions by leveraging existing methods, and understanding the strategic direction set by senior management for team goals. You will interact primarily with your direct supervisor or team leads, as well as with peers and/or management levels at clients or within Accenture. The ability to work independently and make decisions that may impact the team or other teams is essential for this role. The ideal candidate must possess skills in Solution Architecture, Solutioning & Presales, Process transformation & Consulting, Automation Solutions, Generative AI, Data & AI Solution Architecture, Data & AI Strategy, Collaboration, interpersonal skills, ability to manage multiple stakeholders, corporate planning & strategic planning, results orientation, and the ability to perform under pressure. This role may involve managing medium-small sized teams and/or work efforts at a client or within Accenture, providing minimal guidance when determining methods and procedures for new assignments. Your contribution will be crucial in delivering on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Join Accenture, a global professional services company with leading capabilities in digital, cloud, and security, and be a part of a team that embraces the power of change to create value and shared success for clients, people, shareholders, partners, and communities. Visit www.accenture.com to explore more about us.,

The Artificial Intelligence (AI) Engineer and Data Scientist position at CIS requires a professional with 2.6 to 6 years of experience and a Bachelor's or Master's degree in computer science, mathematics, or a related field. As a machine learning engineer, you will need to demonstrate proficiency in AI, ML, NLP, LLM, OpenCV, deep learning, generative AI, and computer vision. Additionally, you should possess expertise in TensorFlow and OpenCV for developing and deploying machine learning and computer vision models. Your responsibilities will include designing and developing machine learning algorithms, optimizing existing libraries and frameworks, collaborating with various teams on production systems, and ensuring accurate user recommendations. You will be expected to study data science prototypes, run machine learning tests, and construct optimized data pipelines. Familiarity with server-side deployment and a deep understanding of probability, statistics, and algorithms are essential for this role. The ideal candidate should have impeccable analytical and problem-solving skills, extensive knowledge of machine learning frameworks like Keras or PyTorch, and familiarity with Python, Java, and R. Strong communication, collaboration, time management, and organizational skills are also crucial. A passion for continuous learning, innovative thinking, and a general understanding of building machine learning systems are highly valued. This position is based in Indore, Madhya Pradesh, and requires on-site work. You should be willing to work at various global locations, including the USA, UK, Australia, and the Middle East, with on-site benefits. If you meet the qualifications and are enthusiastic about advancing in the field of artificial intelligence and data science, we encourage you to apply from the specified locations. (Note: The job description provided is a standard summary description. Please refer to the original job description for complete details and requirements.),

The position of Gen AI / AI Engineer (Mid-Level) in Hyderabad requires a candidate with at least 2 years of experience in developing and deploying AI/ML solutions, focusing particularly on Generative AI and RAG (Retrieval-Augmented Generation) architectures. As an AI Engineer, you will be involved in working with cutting-edge models, fine-tuning, and integrating systems to create scalable AI products. Your responsibilities will include fine-tuning and optimizing Large Language Models (LLMs) and generative models for both text and image data. You will also be responsible for designing and implementing RAG pipelines that incorporate knowledge bases, developing APIs, microservices, and scalable AI pipelines, collaborating with MLOps teams for production deployment, and staying updated on the latest AI trends to apply innovative techniques effectively. The ideal candidate should possess expertise in Python programming language, PyTorch or TensorFlow frameworks, Generative AI tools such as OpenAI, Anthropic, LLaMA, RAG architecture, Natural Language Processing (NLP), Computer Vision, API development, MLOps practices, and experience working with Cloud Platforms like AWS, Azure, or GCP. Qualifications for this role include a Bachelor's degree in Computer Science or a related field, a minimum of 2 years of experience in AI/ML with a focus on GenAI and RAG, and hands-on experience in deploying models at a production level. If you are enthusiastic about contributing to the development of next-generation AI solutions, we encourage you to apply for this exciting opportunity.,