1435 Generative Ai Jobs - Page 2

At InfoBeans, we believe in making other people's lives better through our work and everyday interactions. As an AI ML Lead based in Indore/Pune with over 10 years of experience in Artificial Intelligence, your role will involve designing AI solutions using both traditional ML and GenAI approaches based on problem needs. You will lead the end-to-end implementation of ML projects, including data preparation, model development, deployment, and monitoring. Additionally, you will be responsible for building GenAI-based applications using LLMs, embeddings, and multi-step reasoning frameworks like LangChain and LangGraph. Your responsibilities will also include conducting research and proof-of-concepts to evaluate emerging GenAI models and techniques, guiding and mentoring junior engineers, and reviewing designs, architecture, and code quality. You will develop fine-tuned and instruction-tuned LLMs using platforms like Hugging Face, OpenAI, and Cohere, and build agentic AI systems involving tool use, memory, and reasoning frameworks. Furthermore, you will ensure that AI models are robust, explainable, and cost-efficient in production and collaborate with stakeholders to understand business goals and translate them into technical solutions. Communication of complex AI concepts to both technical and non-technical audiences is also a key aspect of this role. This strategic position will allow you to play a crucial part in shaping the AI offerings of the company, guiding teams, and solving complex problems using both modern and established AI techniques. In this role, you will enjoy a competitive package and work in an open workspace surrounded by smart and pragmatic team members. You will have ample opportunities for professional and personal growth in a learning culture that values teamwork, collaboration, diversity, excellence, compassion, openness, and ownership. To excel in this role, we are looking for an experienced AI/ML Engineer with a strong background in both traditional Machine Learning and Generative AI. You should have extensive experience in classical AI/ML and at least 3 years in GenAI, totaling 10 years of experience with the ability to design, research, and build scalable AI solutions across domains. Your expertise should include 6-7 years in traditional ML/DL and 2-3 years in Generative AI. Proficiency with Python, scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers is essential, along with an understanding of the ML lifecycle and deep experience with LLMs and related tools. Strong communication, presentation skills, and a research mindset are also important for this role. If you possess the ability to quickly learn and adapt to new GenAI technologies, assess trade-offs between classic and generative AI techniques, and recommend the best-fit approach, we would like you to join our team and contribute to our AI initiatives.,

You should have at least 7+ years of experience in the field of Data Science to be considered for the position of Assistant Manager. A Bachelors Degree in a technical or quantitative field from an accredited college or university is required, while a Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred. Additionally, you should have 6+ years of relevant experience in Generative AI and NLP. Having a strong mathematical background is essential for this role, as you will be required to understand algorithms and methods both from a mathematical viewpoint and an intuitive perspective. Your communication and stakeholder management skills should be excellent, and you should be able to effectively frame problem statements into analytical approaches. A minimum of 5 years of programming experience in advanced Python, including Object-Oriented Programming, is necessary. You should also possess good experience in Machine Learning and forecasting, including working, fine-tuning, and evaluating models. Proficiency in Generative AI and NLP is a must for this role. You should have extensive experience in retrieval augmented generation and a strong grasp of agents. Additionally, a good understanding of transformer architecture and traditional NLP is required. Experience working on AWS, creating APIs for backend systems, and a strong research appetite to explore the latest techniques in Generative AI are also essential for this position.,

As the Director of Digital Transformation at FIS, you will have the opportunity to lead the technology strategy aimed at transforming contact center operations and enhancing customer experience. You will collaborate with senior leaders, business stakeholders, and technology teams to align the vision, roadmap, and execution of digital transformation initiatives. Your role will involve overseeing the selection, adoption, and integration of various contact center technologies, RPA, intelligent automation solutions, and emerging technologies like generative AI to drive operational efficiency, customer satisfaction, and competitive advantage. Your responsibilities will include defining and communicating the technology strategy and vision for digital transformation, managing end-to-end delivery of projects, collaborating with stakeholders to identify and prioritize transformation opportunities, and establishing governance and standards for digital transformation. Additionally, you will be responsible for building and leading a high-performing team of digital transformation experts, architects, and engineers, monitoring outcomes, and staying updated on the latest trends and best practices in contact center technologies and automation. To be successful in this role, you should have a bachelor's degree in computer science or related field, along with extensive experience in leading complex technology projects, defining technology strategy for digital transformation, and implementing solutions in the FinTech or financial services industry. A strong background in contact center technologies, RPA, intelligent automation, and emerging technologies like generative AI is required. Excellent communication, leadership, and problem-solving skills are essential, as well as a passion for innovation and customer-centric mindset. Join FIS to embark on a rewarding career path that offers a dynamic work environment, professional development opportunities, and benefits to support your wellbeing. At FIS, you will be part of an innovative team focused on collaboration, flexibility, and respect, making it the ideal final step in your career journey.,

NVIDIA is seeking a dynamic and experienced Generative AI Solution Architect with deep expertise in training Large Language Models (LLMs) and building Retrieval-Augmented Generation (RAG) workflows. As a key member of our AI Solutions team, you'll drive innovation and impact in real-world deployments of cutting-edge generative AI technology. What You Will Be Doing Architect end-to-end generative AI solutions with a focus on LLMs and RAG workflows. Collaborate with customers to understand business problems and translate them into tailored LLM-based solutions. Design and lead workshops and technical sessions to define, optimize, and deploy RAG-based and LLM-powered systems. Train and fine-tune state-of-the-art LLMs on NVIDIA platforms, optimizing for performance, cost, and efficiency. Deploy and integrate LLMs and RAG workflows in cloud and on-premise environments, enabling real-world applications. Work closely with NVIDIA engineering and product teams, influencing the evolution of generative AI tools and technologies. Build and share best practices for model training, deployment, and performance optimization using NVIDIA GPUs and AI platforms. What We Need To See Master's or Ph.D. in Computer Science, AI, or a related field 5+ years of hands-on experience with LLM training, deployment, and production optimization Deep understanding of language models like GPT-3, BERT, and experience with RAG Proficient in PyTorch, TensorFlow, and Hugging Face Transformers Familiar with GPU acceleration, distributed computing, and inference tuning on NVIDIA hardware Experience presenting to clients and leading cross-functional collaboration Strong communication skillsable to clearly explain technical details to diverse audiences Ways To Stand Out From The Crowd Experience deploying LLMs in cloud (AWS, Azure, GCP) and on-prem clusters Proficiency with Docker, Kubernetes, and GPU cluster management Proven ability to optimize LLM inference for speed, memory, and cost Hands-on experience with NVIDIA GPU technologies, profiling, and distributed model execution If you're passionate about the future of AI and want to help define how organizations use LLMs at scale, we want to hear from you. NVIDIA is widely considered one of the most desirable employers in techjoin us in shaping what's next. We are an equal opportunity employer and committed to diversity in our workforce.

Are you passionate about inspiring change, building data-driven tools to improve software quality, and ensuring customers have the best experience If so, we have a phenomenal opportunity for you! NVIDIA is seeking a creative, and hands-on Senior Tools Development Engineer with a test-to-failure approach. The ideal candidate will build Python-based tests and tools to accelerate test workflows in 3D simulation software, GPU drivers, cloud computing, and AI. What You'll Be Doing Design and implement automated tests for our REST and gRPC APIs covering API functionality, service deployment, and cluster health across distributed environments Implement reliable test automation strategies for complex visual verification challenges Create test scenarios that simulate real-world user interactions and validate expected outcomes Build innovative tools using Generative AI technologies to accelerate development workflows Collaborate with cross-functional teams to understand product requirements Contribute to continuous integration pipelines for automated testing Analyze test results and provide actionable insights to development teams Write maintainable, reliable, and well-detailed code. Debug issues to identify the root cause. Provide peer code reviews including feedback on performance, scalability, and correctness Optimally estimate and prioritize tasks to create a realistic delivery schedule Work closely with leadership to report progress by generating effective and impactful reports What We Need To See 3 years of relevant test automation and development experience with programming experience in Python. Experience with additional languages such as C++, C#, and JS is a plus B.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE Hands-on experience with API automation testing, including REST and gRPC protocols Prior experience with deploying containerization services using technologies such as Docker and Kubernetes Prior project experience with building and evaluating applications using Generative AI models Experience in deploying and optimizing DL models in production environments Proven understanding of test automation principles and patterns Strong expertise in Python development and testing frameworks Excellent written and verbal communication skills With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. Due to outstanding growth, our elite engineering teams are rapidly growing. If you're creative with a real passion for technology, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

NVIDIA is seeking a dynamic and experienced Generative AI Solution Architect with deep expertise in training Large Language Models (LLMs) and building Retrieval-Augmented Generation (RAG) workflows. As a key member of our AI Solutions team, you'll drive innovation and impact in real-world deployments of cutting-edge generative AI technology. What You Will Be Doing Architect end-to-end generative AI solutions with a focus on LLMs and RAG workflows. Collaborate with customers to understand business problems and translate them into tailored LLM-based solutions. Design and lead workshops and technical sessions to define, optimize, and deploy RAG-based and LLM-powered systems. Train and fine-tune state-of-the-art LLMs on NVIDIA platforms, optimizing for performance, cost, and efficiency. Deploy and integrate LLMs and RAG workflows in cloud and on-premise environments, enabling real-world applications. Work closely with NVIDIA engineering and product teams, influencing the evolution of generative AI tools and technologies. Build and share best practices for model training, deployment, and performance optimization using NVIDIA GPUs and AI platforms. What We Need To See Master's or Ph.D. in Computer Science, AI, or a related field 5+ years of hands-on experience with LLM training, deployment, and production optimization Deep understanding of language models like GPT-3, BERT, and experience with RAG Proficient in PyTorch, TensorFlow, and Hugging Face Transformers Familiar with GPU acceleration, distributed computing, and inference tuning on NVIDIA hardware Experience presenting to clients and leading cross-functional collaboration Strong communication skillsable to clearly explain technical details to diverse audiences Ways To Stand Out From The Crowd Experience deploying LLMs in cloud (AWS, Azure, GCP) and on-prem clusters Proficiency with Docker, Kubernetes, and GPU cluster management Proven ability to optimize LLM inference for speed, memory, and cost Hands-on experience with NVIDIA GPU technologies, profiling, and distributed model execution If you're passionate about the future of AI and want to help define how organizations use LLMs at scale, we want to hear from you. NVIDIA is widely considered one of the most desirable employers in techjoin us in shaping what's next. We are an equal opportunity employer and committed to diversity in our workforce.

You will be joining Acronotics Limited, a company specializing in robotic process automation, artificial intelligence, and intelligent automation technologies. Your role as a Technical Architect (Azure AI + GenAI) will involve designing and implementing AI solutions utilizing Azure AI and Generative AI technologies. Specifically, you will be tasked with creating the system architecture for a GenAI based solution to access enterprise financial data from Power BI, OLAP Cubes, and various documents. Your responsibilities will include defining the Azure AI tech stack, data integrations, security protocols, and deployment pipeline, as well as overseeing the implementation of the solution. Your key responsibilities will involve defining a phased architecture that covers Power BI, cubes, unstructured docs, web, and machine learning. Additionally, you will be responsible for selecting Azure components such as OpenAI, Cognitive Search, Synapse, and Logic Apps, ensuring scalability, security, and performance best practices, supporting cross-role coordination, and mentoring technical leads. It will be essential to align the solution with enterprise standards and data governance policies. To be successful in this role, you should have at least 5 years of experience in enterprise technical architecture, with a focus on GenAI use cases. You should possess expertise in the Azure AI ecosystem, API management, and LLM orchestration, as well as a proven track record in designing multi-phase AI platforms. If you are passionate about leveraging cutting-edge technologies to create transformative products and services, and have a strong background in technical architecture and AI solutions, we encourage you to apply for this exciting opportunity at Acronotics Limited.,

As a C14 (People Manager) at Citi within the Financial Crimes & Fraud Prevention Analytics Model Development team based in Pune, India, you will be reporting to the Director/Managing Director, AIM. The Citi Analytics & Information Management (AIM) team is a global community focused on connecting and analyzing information to generate actionable intelligence for business leaders. Your role will involve leading a team of 15+ data scientists, working on developing and implementing Machine Learning (ML) / AI / Gen AI models across different platforms to mitigate fraud losses, analyze transaction data, and minimize customer impact. You will collaborate with the model implementation team, ensure model documentation, and address questions from model risk management (MRM) while adapting to changing business needs. Your responsibilities will include working as a Subject Matter Expert (SME) in the field of ML/Generative AI, understanding AI and ML concepts, and articulating complex concepts to diverse audiences. You will lead the team of data scientists in developing and implementing ML / AI / Gen AI models, providing technical leadership, mentorship, and ensuring execution accuracy. Your role will also involve thought leadership in designing and implementing ML/AI/Gen AI solutions, staying updated on advancements in the field, and communicating analytical concepts effectively to technical and non-technical audiences. With a minimum of 18+ years of analytics experience, you are expected to have a strong understanding of ML/AI/Gen AI techniques, model development stages, and industry best practices. Proficiency in coding, knowledge of Bigdata environments, and experience with ML/DL applications are essential. Your educational background should include a Bachelor's degree in finance/engineering/quantitative fields (Statistics, Mathematics)/MBA, with a preference for a Master's degree. People management experience of at least 8 years is required to lead a team of data scientists, manage their career progression, and provide mentorship and technical guidance. In this role, you will establish governance frameworks for model development, deployment, and monitoring, ensuring compliance with MRM and Fair Lending guidelines. Your strategic thinking, project management skills, and ability to influence business outcomes will be crucial in driving innovative solutions and stakeholder management. Excellent communication skills, both verbal and written, are essential for seamless collaboration across teams and stakeholders. This job description offers an overview of the responsibilities and requirements for the role of C14 (People Manager) at Citi. Additional duties may be assigned as needed.,

The primary responsibility of this role is to customize, enhance, and implement Generative AI solutions using Infosys and Industry standard tools and platforms. You will be tasked with building MCP and Agentic based solutions using various frameworks. It is essential to apply Prompt engineering techniques to evaluate model behavior under different input conditions and refine prompts for improved accuracy and desired outcomes. Additionally, you will be responsible for testing AI applications using tools, capturing standard and custom metrics, and staying updated with the latest advancements in Generative AI and testing methodologies. Collaboration with cross-functional teams is vital to ensure that prompts align with company objectives and user experience. You will also play a key role in identifying and reporting bugs, performance bottlenecks, and safety issues. The successful candidate should possess a Bachelor's degree in computer engineering or equivalent and have 10-12 years of experience in Data Science, AI, ML, and Generative AI using various programming or scripting languages. Strong communication and collaboration skills are required, along with proficiency in Python development or any other language used for Data Science or AI/ML. Excellent analytical and problem-solving abilities are essential, along with a proactive approach to exploring and evaluating new technologies and tools to enhance development processes. The role also involves contributing to the full software development lifecycle, from design and implementation to testing and deployment. Experience with cloud platforms such as AWS, Azure, or GCP is preferred, along with hands-on experience in Generative AI-based solution implementation. Preferred skills include expertise in Machine Learning, Generative AI, AI/ML Solution Architecture and Design, and proficiency in Python.,

You should have a minimum of 5 years of experience in AI/ML with at least 2+ years in NLP, LLMs, and Generative AI. Your expertise should include ML architecture design, end-to-end model development, and deployment in production systems. Proficiency in Python is essential, along with deep experience in ML libraries and frameworks like TensorFlow, PyTorch, Hugging Face, and LangChain. A sound knowledge of transformer models, embeddings, tokenization, and vector databases such as FAISS and Pinecone is required. Experience with cloud-native AI solutions on AWS, Azure, or GCP is preferred. Familiarity with MLOps, model versioning, containerization using Docker, and orchestration tools like Kubeflow and MLflow is a plus. Your responsibilities will include architecting and implementing end-to-end machine learning and Generative AI solutions for real-world applications. You will design, fine-tune, and deploy models using transformers, embeddings, tokenization, and LLMs for tasks like summarization, classification, question answering, and content generation. Developing and maintaining high-quality, production-grade ML code in Python using libraries such as TensorFlow, PyTorch, Hugging Face, and LangChain is crucial. Furthermore, you will be responsible for building and optimizing retrieval-augmented generation (RAG) pipelines by integrating LLMs with structured and unstructured data. Working with vector databases like FAISS and Pinecone to manage semantic search and context retrieval efficiently will be part of your role. Utilizing cloud-native AI services for model training, deployment, and scaling on platforms like AWS, GCP, and Azure is expected. Implementing MLOps best practices, including model versioning, containerization using Docker, orchestration with tools like Kubeflow and MLflow, and following CI/CD procedures are also key responsibilities. Strong problem-solving skills, architectural thinking, and the ability to lead complex AI initiatives, along with excellent communication, stakeholder management, and technical leadership capabilities, are essential for this role.,

As a Lead AI Engineer at Opkey, you will be at the forefront of disrupting the ERP transformation testing space with our AI-powered No Code Testing platform for Enterprise business applications. With our headquarters in Dublin, California, and additional offices in Pittsburgh, NYC, and India, we are a fast-growing VC-backed company trusted by 250+ enterprise customers, including GAP, Pfizer, and KPMG. Join our team and be a part of the test automation market that is estimated to reach $50 billion by 2026. Your role will involve architecting, building, and deploying AI/ML models for SaaS products at scale. You will lead the end-to-end lifecycle of AI projects, collaborate with cross-functional teams, and integrate AI capabilities into our next-generation platforms. Embrace the opportunity to define and uphold best practices in AI model development, MLOps, and scalable deployment while mentoring a team of AI/ML engineers. As a seasoned professional with 10-12 years of experience in AI/ML engineering within SaaS and product-based environments, you will bring expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI. Your hands-on experience with frameworks like TensorFlow, PyTorch, and Hugging Face Transformers will be invaluable in designing scalable AI architectures and deploying models in production environments. Your strong programming skills in Python, along with familiarity with languages like Java, Go, or Scala, will be essential as you navigate ambiguous technical challenges and drive innovative AI solutions. Stay abreast of advancements in AI, contribute thought leadership internally and externally, and partner with stakeholders to define AI strategies aligned with overall technology roadmaps and business objectives. Preferred qualifications include a Masters or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field, experience in Go-to-Market Strategy for AI-powered products, and contributions to open-source AI projects or published research papers. If you have experience integrating AI into customer-facing SaaS products with measurable outcomes, this could be an exciting opportunity for you to make a significant impact. Join Opkey as we revolutionize the world of AI-powered testing and be part of a dynamic team driving innovation and excellence in the AI space.,

As a Generative AI Developer Freshers, you will be joining our Artificial Intelligence team to work on cutting-edge projects involving Generative AI, AI/ML technologies like TensorFlow and PyTorch, and data manipulation with Pandas. Your main responsibilities will include developing AI models, staying updated with the latest industry trends, and contributing to the software development life cycle through documentation. You should possess a Bachelor's degree in Computer Science, Computer Application, or related fields and have a solid understanding of OOPs concepts, database management, and programming languages like HTML, MySQL, CSS, JavaScript, and JQuery. Additionally, having knowledge of Django, Python, Ruby, Rails, Angular JS will be an added advantage. To excel in this role, you must have excellent communication skills, a strong grasp of logical and analytical thinking, and the ability to work collaboratively in a team. As a fresh graduate with 0-1 years of experience, you will receive training and mentorship to enhance your skills and knowledge in AI development. This position is based in Indore, Madhya Pradesh, and requires on-site work in various locations in India and globally. If you are passionate about AI and looking to kickstart your career in this field, apply now and join our dynamic team.,

You have 5+ years of backend or full-stack development experience, including a minimum of 3 years specializing in Generative and Agentic AI. Your expertise lies in creating APIs utilizing REST, GraphQL, and gRPC, emphasizing on performance, versioning, and security. Proficiency in Python is required, with additional knowledge in TypeScript/Node.js, Go, or Java. You should possess a deep understanding of LLM integration and orchestration (OpenAI, Claude, Gemini, Mistral, LLaMA, etc.). Moreover, you must have hands-on experience with frameworks like LangChain, LlamaIndex, CrewAI, and Autogen. Familiarity with vector search, semantic memory, and retrieval-based augmentation tools such as FAISS or Qdrant is preferred. A solid grasp of cloud infrastructure (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes) is also essential for this role.,

At Capgemini Invent, we believe in the power of diversity to drive change. As inventive transformation consultants, we leverage our strategic, creative, and scientific capabilities to collaborate closely with clients and deliver cutting-edge solutions. Join us in our mission to drive transformation tailored to address our clients" challenges of today and tomorrow. Our approach is informed and validated by science and data, superpowered by creativity and design, and underpinned by purpose-driven technology. Your role at Capgemini Invent will involve designing and delivering projects focused on organizational structuring/restructuring and transformation, creating Governance Models/Target Operating Models for clients, designing Digital Culture Assessments and promoting culture development, and delivering projects in Diversity, Equity, and Inclusion (DE&I) as well as other people sustainability initiatives. Additionally, you will be responsible for leading various organizational development projects such as Competency Framework Design and Career Architecture Design. As part of your profile, you will lead and execute projects independently, utilizing relevant project management processes including initiation, planning, execution, monitoring, control, and closure. You will diagnose the need for change, strategize effectively, and communicate the change rationale clearly to all stakeholders involved. Furthermore, you will design and conduct workshops, seminars, and training sessions for the stakeholders to facilitate effective implementation. Working at Capgemini Invent, you will appreciate our commitment to providing a supportive work environment through flexible work arrangements such as remote work or flexible work hours, allowing you to maintain a healthy work-life balance. We prioritize your career growth and offer a range of career growth programs and diverse professional opportunities to help you explore a world of possibilities. Additionally, you will have the opportunity to equip yourself with valuable certifications in the latest technologies, such as Generative AI. Capgemini is a global business and technology transformation partner that accelerates organizations" dual transition to a digital and sustainable world, creating tangible impact for enterprises and society. With a diverse team of over 340,000 members in more than 50 countries, Capgemini has built a strong reputation over its 55-year heritage. Trusted by clients to unlock the value of technology and address their business needs comprehensively, Capgemini offers end-to-end services and solutions spanning strategy, design, engineering, AI, generative AI, cloud, and data, supported by deep industry expertise and a robust partner ecosystem. Join us at Capgemini Invent to be part of a responsible and diverse team dedicated to driving transformation and creating positive outcomes for our clients and communities.,

Job Description: As a Gen AI Programmer at Ubisoft, you will play a crucial role in our machine learning and generative AI projects. Your primary responsibility will involve conducting research and development in the fields of machine learning and generative AI. You will be tasked with designing, implementing, and evaluating machine learning models and algorithms to optimize various aspects of game development, including Art, animation, sound, and narrative. Collaboration with stakeholders will be essential as you work to collect and sanitize data, perform training, and integrate AI solutions into products and services. It will be important to stay updated on the latest advancements in AI and machine learning technologies, sharing your research findings on appropriate platforms and conferences. Additionally, mentoring junior team members, providing technical guidance, and keeping your manager and stakeholders informed will be key aspects of your role. To excel in this position, you should have a strong background in machine learning, deep learning, and generative AI, along with proficiency in programming languages like Python, R, or Java. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, and Keras will be beneficial. Excellent problem-solving skills, communication abilities to convey complex technical concepts, and a solution-driven mindset will be necessary for success in this role. Being a quick learner, self-motivated, and open-minded individual who actively seeks opportunities to make an impact will set you apart as a Gen AI Programmer at Ubisoft. Preferred competencies include an understanding of the game development process, further enhancing your ability to contribute effectively to our projects. Rest assured that all your information will be handled confidentially in accordance with EEO guidelines. Join us at Ubisoft and be part of an exciting period of growth where your skills and passion for AI can thrive!,

The increasing demand for observational research (now commonly referred to as real-world evidence [RWE]) from regulatory and reimbursement authorities has made observational research a crucial component of drug development and commercialization. Amgen's Center for Observational Research (CfOR) is a global organization with industry-leading analytical capabilities that generate RWE to support business needs across a product's lifecycle. CfOR scientists collaborate with internal stakeholders and industry experts to design, conduct, interpret, and publish observational research that informs decision-making at various stages from molecule development to clinical trial design and the safety and efficacy of Amgen medicines. We are looking for a dynamic, adaptable, and tech-savvy Strategic Planning & Operations Manager to oversee and drive the execution of CfOR's operational projects and non-interventional studies, ensuring timely completion within budget and at the highest quality. This role necessitates strong project management capabilities, a growth mindset, and a willingness to leverage emerging AI tools to enhance productivity and drive CfOR-wide initiatives. Key responsibilities include: - Developing collaborative relationships with stakeholders across CfOR and Amgen to ensure alignment with strategic objectives and operational priorities. - Leading the planning, coordination, and execution of projects using Agile methodologies, maintaining detailed project plans, facilitating meetings, and tracking milestones. - Providing ongoing support for headcount management, requisition tracking, staffing analysis, and organizational planning in line with CfOR leadership goals. - Driving the adoption and integration of platforms like Smartsheet, Microsoft Teams, and Miro to improve team collaboration and project tracking. - Leading or supporting strategic initiatives and operational pilots that enhance CfOR's organizational capabilities. - Communicating status and issues effectively to relevant parties within CfOR and across Amgen. - Supporting the Operations Head, leading special projects, conducting necessary analysis, and creating deliverables as required. - Identifying and implementing improvements to operational processes using AI tools and technology to increase team efficiency and reduce manual tasks. - Leveraging productivity and generative AI tools such as Microsoft Copilot, ChatGPT, and AI agents to streamline workflows, documentation, meeting summaries, data analysis, and communications. Basic Qualifications: - Doctorate degree with 2 years of research and program management experience OR - Masters degree with 6 years of research and program management experience OR - Bachelors degree with 8 years of related experience OR - Associate degree with 10 years of related experience OR - High school diploma / GED with 12 years of related experience Preferred Qualifications include: - Minimum of 10 years of project management experience, with at least 5 years in pharma/biotech within regulated, cross-functional environments. - Proven ability to lead complex projects end-to-end in fast-paced settings, including budgeting, resource planning, vendor management, and risk mitigation. - Skilled at managing ambiguity and shifting priorities through structured thinking, stakeholder alignment, and agile decision-making. - Highly motivated professional who excels with minimal supervision, balancing multiple initiatives while ensuring compliance with regulatory standards and organizational processes. - Expertise in evaluating current-state operations and designing scalable solutions to improve efficiency, quality, and stakeholder satisfaction. - Superior communication and presentation skills, with the ability to translate complex data into dashboards for diverse stakeholders. - Experience with Agile frameworks (SAFe highly preferred), Scrum, and Kanban, focusing on digital transformation and operational efficiency. - Comprehensive understanding of Good Clinical Practices (GCP), FDA regulations, and applicable regulatory/compliance frameworks relevant to clinical and commercial operations. - Proficiency in Smartsheet, Microsoft O365, and Miro, with a focus on utilizing tools for planning, tracking, and visual collaboration. - Passionate about continuous improvement and applying emerging technologies to enhance productivity and stakeholder engagement. - Working knowledge of AI tools like Microsoft Copilot, ChatGPT, and AI Agents, with practical experience integrating these into project workflows.,

As a Senior Architectural Visualizer, you will be responsible for transforming design concepts into compelling, photorealistic imagery and animations. Leading visualization projects from concept through delivery, you will collaborate closely with architects, designers, and project stakeholders to ensure that visual content meets the highest standards of quality, creativity, and technical accuracy. Your key responsibilities will include developing assets by modeling, texturing, lighting, and rendering architectural scenes in V-Ray, Corona, and Lumion for stills, fly-throughs, and VR presentations. You will also be involved in defining and maintaining the visual style and quality benchmarks, mentoring junior artists, and collaborating with architects, interior designers, and clients to understand briefs, provide design feedback, and iterate visuals based on notes. Additionally, you will optimize workflows by developing and refining render pipelines, scripts, and tools to improve efficiency and consistency across projects. Project management will be a crucial part of your role as you plan deliverables, set milestones, estimate timelines, and ensure on-time, on-budget completion. Quality control is essential, requiring thorough reviews of all visual outputs for technical accuracy and brand/design alignment. Staying current on visualization trends, software updates, and emerging technologies will be part of your responsibility to continuously elevate the offerings. You will be expected to generate VR tours with 360 renders and other VR content such as mono and stereo walkthroughs. Leading a team of 3D artists is also a part of the role. The ideal candidate will have technical proficiency in V-Ray (3ds Max or SketchUp), Corona, and Lumion. A strong grasp of 3D modeling in 3ds Max, SketchUp, or Revit is necessary, along with advanced understanding of lighting, shading, texturing, and camera composition. Proficiency in Photoshop, After Effects, or equivalent for post-production is required, as well as knowledge of Generative AI. With a minimum of 15 years of professional experience in architectural visualization, the candidate should have a proven portfolio showcasing photorealistic stills, animations, and interactive walkthroughs. Exposure to real-time engines such as Unreal and Unity is a plus. Soft skills required include strong visual storytelling and art direction abilities, excellent communication and client-facing skills, attention to detail with impeccable organizational and time-management skills, and leadership experience including mentoring junior team members. Education qualifications include a Bachelors or Masters degree in Architecture, Interior Design, Digital Media, or a related field, or equivalent demonstrable experience.,

Data Scientist Role Overview: We are seeking highly skilled and Data Scientists to join our team. The ideal candidates will be responsible for developing and implementing machine learning (ML) and generative AI (Gen AI) applications. This role requires a strong background in data science, with a focus on ML modeling techniques and exploratory data analysis (EDA). Key Responsibilities: Develop and deploy ML and Gen AI applications using LangChain, Llama Index, and OpenAI. Conduct comprehensive EDA to uncover insights and inform ML model development. Collaborate with cross-functional teams to integrate AI solutions into business processes. Continuously monitor and improve the performance of AI models. Stay updated with the latest advancements in ML and Gen AI technologies. Mandatory Skillsets: Highly proficient in ML and Gen AI application development with LangChain, Llama Index, OpenAI Strong industry exposure in Data Science with Machine Learning modelling techniques and Exploratory Data Analysis Atleast 5+ years of experience in data science with 2 years of experience in Gen AI Good-to-Have Skillsets: Experience with other AI frameworks and tools. Strong programming skills in Python or R. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities.

We are Brainlabs, the High-Performance media agency, on a mission to become the world&aposs biggest and best independent media agency. We plan and buy media that delivers profitable and sustained business impact. And whats our formula Superteams of Brainlabbers, fueled by data and enabled by technology. Brainlabs has always been a culture-first company. In fact, from the very beginnings of the agency a set of shared principles, philosophies and values was documented in The Brainlabs Handbook, helping us create our unique culture. As with everything here we always seek to adapt and improve so The Brainlabs Handbook has been fine-tuned to become The Brainlabs Culture Code. This Culture Code consists of 12 codes that talk to what it means to be a Brainlabber. Its a joint commitment to continuous development and creating a company that we can all be proud of, where Brainlabbers can turn up to do great work, make great friends and win together. You can read The Brainlabs Culture Code in full here. Classification: Full time Team: Data Science Practice Reporting to: Head of Data Services Location: Bengaluru (Hybrid model of working) Experience Range - 13-15 Years Of Experience. As a Director, Data Science youll execute data science initiatives, influence senior leadership and shape the data science roadmap for the organization. The ideal candidate will have extensive experience in statistical modeling, machine learning, Generative AI, MLOps, and cloud-based solutions, along with a track record of leading large-scale projects, mentoring high-performing teams, and deploying models into production. What you do: Strategy & Roadmap: Build and define Brainlabs global Data Science capability roadmap, focused on advanced media optimisation and marketing effectiveness Product Development: Work through all stages of product development: defining capability, crafting business solutions, gathering/structuring data, building ML/DL/AI models, and communicating business impact. Innovation: Research and bring innovations to develop next-generation solutions in marketing & media analytics, incorporating advancements like GPT, LLMs, Agentic AI and multimodal data pipelines Team Leadership: Grow and mentor a high-performing data science team, driving thought leadership, R&D culture, and global collaboration. Pre-sales Support: Estimate project efforts, creating detailed proposals, and developing Statements of Work (SOWs). respond to Requests for Proposals (RFPs) with innovative, tailored analytics solutions. Client/Stakeholder Communication: Engage with diverse stakeholders, including clients, team members, and management. Organizational Initiatives: Lead key organizational initiatives focused on enhancing operational efficiency, service quality, and employee engagement. Analysis: Ability to analyze data and prescribe model-based recommendations/actions for the end users. Process Management: Manage projects in an Agile environment. Who You Are Experienced: A visionary leader with 13-15 years in Data Science projects, 4+ years in Marketing Analytics Educated: Bachelors/Masters degree in relevant field (Math, Statistics, Analytics, Operational Research or related disciplines) Technically Skilled: Experience building ML/DL/NLP/AI models (Python, R, Scala). Experienced with frameworks like TensorFlow, PyTorch, YOLO as well as marketing specific models like Meridian, Robyn and PyMC LLM & AI Specialist: Deep understanding of Agentic AI frameworks (AutoGPT, BabyAGI, OpenAgents) and LLMs (GPT, Claude, Gemini, LLaMA) Cloud & MLOps Fluent: Familiar with MLOps, ML safety and building scalable architectures on AWS, GCP, Azure, or Nvidia stack How You Succeed Culture: You will live our culture code every day! Client Success: Client satisfaction targets being met (internal & external) Deliver Business Impact: Translate complex analytical challenges into actionable solutions that drive measurable outcomes and revenue growth. Lead & Influence: Effectively lead interdisciplinary teams, provide thought leadership, and collaborate with various stakeholders. Lead with Innovation: Stay ahead of trends in Agentic AI, AI safety, regulatory frameworks etc. ,to maintain a competitive edge. Quality: Ensure quality across the deliverables Process Adherence: Enforce compliance with standard operating procedures, best practices, and organizational guidelines. Business Growth: Identify opportunities to expand existing accounts and develop new business by understanding client needs, proposing value-driven solutions, and fostering long-term relationships. Brainlabs delivers high performance for our clients and ourselves. We do that through our high-performance culture. That means each and every one of us has very clear goals every year which are the focus for our own contribution, growth and coaching. Practice Efficiency Working effectively to manage your own time in accordance with client requirements Client Client satisfaction One client case study produced to show the impact of your work on growing client business Practice Growth Learning certification/hours met Actively contributing ideas and innovations to the wider practice Technology & QA Adoption target of 100% met 95% QA metric hit Process automation Live our Culture Code Give 5 meaningful pieces of feedback each month Receive 360 positive feedback on how you live our Culture Code Grow Knowledge Complete Brainlabs Data Science Advanced Certification Brainlabs Internal Mentor accreditation (Optional) What happens next We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area. Show more Show less

We are searching for a Senior Software Engineer in AI who possesses more than 3 years of practical experience in Artificial Intelligence and Machine Learning and has a strong enthusiasm for innovation. This position is perfect for an individual who excels in a startup setting that is fast-paced, product-oriented, and filled with opportunities to create a meaningful difference. Your main responsibility will be to contribute to the development of intelligent, scalable, and production-ready AI systems, with a particular emphasis on Generative AI and Agentic AI technologies. Key Responsibilities: - Developing and implementing AI-powered applications and services, with a focus on Generative AI and Large Language Models (LLMs). - Designing and executing Agentic AI systems that consist of autonomous agents capable of planning and executing multi-step tasks. - Collaborating with various teams such as product, design, and engineering to seamlessly integrate AI capabilities into products. - Crafting clean, scalable code and establishing robust APIs and services to facilitate the deployment of AI models. - Taking charge of feature delivery from start to finish, including research, experimentation, deployment, and monitoring. - Keeping abreast of the latest AI frameworks, tools, and best practices and leveraging them in product development. - Contributing to a culture of high performance within the team and providing mentorship to junior team members when necessary. Required Skills: - A total of 6 years of software development experience, with at least 3 years dedicated to AI/ML engineering. - Proficiency in Python, along with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). - Demonstrated expertise in working with LLMs (e.g., GPT, Claude, Mistral) and various Generative AI models (text, image, or audio). - Practical knowledge of Agentic AI frameworks such as LangChain, AutoGPT, and Semantic Kernel. - Experience in constructing and deploying ML models in production environments. - Familiarity with vector databases like Pinecone, Weaviate, FAISS, and prompt engineering concepts. - Comfortable operating in a startup-like atmosphere - self-driven, adaptable, and eager to take on responsibilities. - Sound understanding of API development, version control, and contemporary DevOps/MLOps procedures. This is a permanent position that requires in-person work.,

You will be responsible for leading the AI team in developing and deploying cutting-edge AI models. This will involve defining the AI strategy in alignment with the company's goals, overseeing the end-to-end AI project life cycle, and collaborating with stakeholders to identify opportunities for AI-driven solutions. It is crucial to ensure the ethical and responsible use of AI technologies and stay updated with the latest advancements in the field. Additionally, providing mentorship and guidance to team members, managing the team's resources, budget, and timelines, and communicating project progress to executive leadership will be key responsibilities. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with at least 3 years of experience in AI, machine learning, and data science. Proficiency in NLP, Generative AI, Transformer models, and experience in training, fine-tuning, and optimizing AI models are essential. A strong understanding of machine learning algorithms, neural networks, and NLP, as well as familiarity with AI development frameworks and tools like TensorFlow, PyTorch, and Scikit learn, is required. Ability to deploy AI models in cloud-based and edge environments, proficiency in programming languages such as Python, R, or Java, and excellent problem-solving skills are also necessary. Strong communication and interpersonal skills are vital for this role. Preferred skills for this position include familiarity with NLP, computer vision, and experience with big data technologies like Spark and Hadoop. The ability to translate business needs into technical requirements and an understanding of ISO standards are desirable. Location: Mohali Equal Employment Opportunity:,

As a Senior Systems Software Engineer at WinAI, you will play a crucial role in solving client-side AI challenges on Windows PCs with limited resources. You will be partnering with NVIDIA software, research, architecture, and product teams to align strategies and technical needs for encouraging the ecosystem of AI on Windows RTX PCs. Collaboration with Microsoft will be essential to advance AI across critical domains such as graphics, web browsers, and edge devices by driving innovation in technologies like WindowsML, ONNX Runtime, and NVIDIA's proprietary libraries and driver stack. Your responsibilities will include improving performance on current and next-generation GPU architectures through in-depth analysis and optimization of AI models, data processing pipelines, and inference runtime features. You will also be identifying, evaluating, and implementing compute and memory optimization techniques for large AI models, such as quantization, distillation, and pruning, to fine-tune and compress models to fit edge devices. To qualify for this role, you should hold a Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Mathematics, or a related field, or possess equivalent experience. Proficiency in C++ programming and debugging, along with a strong understanding of data structures and algorithms, is required. You should have at least 5 years of experience in AI inferencing pipelines and applications using ML/DL frameworks like ONNX RT, DirectML, PyTorch, and Tensor RT. Strong analytical and problem-solving abilities are essential, along with effective multitasking skills in a dynamic environment. Excellent written and oral communication skills are also necessary for successful collaboration with management and engineering teams. To stand out from the crowd, having an understanding of modern techniques in Machine Learning, Deep Neural Networks, and Generative AI, with relevant contributions to major open-source projects, will be advantageous. A consistent track record of delivering end-to-end products with geographically distributed teams in multinational product companies will also be a plus. Proficiency in lower-level system/GPU programming, CUDA, and developing high-performance systems, as well as hands-on experience with building applications using APIs like ONNX RT, DirectML, DirectX, PyTorch, TensorRT, and Vulkan, are highly desirable. At WinAI, we are committed to innovation and growth, offering competitive salaries and a generous benefits package. As an equal-opportunity employer, we value diversity within our company. If you are a creative and autonomous engineer with a genuine passion for technology, we welcome you to join our exclusive engineering teams that are experiencing unprecedented growth.,

As a Senior Business Analyst specializing in Data and Insight at Innover Digital, you will be a key member of our team dedicated to utilizing data and artificial intelligence to drive business success. With a focus on Generative AI and its applications across various industries, you will play a crucial role in bridging the gap between technology and business processes to create value for our clients. Your main responsibilities will include collaborating with stakeholders such as business leaders, data scientists, and software developers to identify and define business requirements and objectives related to Data, AI, and GenAI projects. Acting as a liaison between technical and non-technical teams, you will translate complex business processes and requirements into clear, actionable tasks. Additionally, you will participate in the planning, scoping, and prioritization of projects to ensure alignment with organizational goals and strategies. Moreover, you will be responsible for developing detailed business requirements documents, use cases, and user stories to support the development of software tools and applications. Working closely with data scientists and AI developers, you will ensure that AI models and solutions meet client needs and business objectives. You will also facilitate the testing and validation of applications to ensure that they deliver expected outcomes. Furthermore, you will collaborate on the development and documentation of standard operating procedures (SOPs) for processes and workflows to promote efficiency and consistency. It is essential to stay informed about advances in the field of data, AI, and supply chain management to provide insights on potential improvements and new opportunities for innovation. To be successful in this role, you should have at least 3 years of experience as a Business Analyst in data-driven environments. A Bachelor's degree in Engineering along with an MBA from a top-tier institution is required. Strong analytical skills, proficiency in data analysis and interpretation, excellent communication and collaboration skills, and the ability to bridge technical and non-technical teams effectively are crucial for this position. Additionally, knowledge of AI and machine learning concepts, with a focus on Generative AI applications, familiarity with data analysis and visualization tools, understanding of supply chain processes and challenges, and the ability to work independently and as part of a team in a fast-paced environment are necessary. Strong project management and organizational skills are also important for this role.,

The candidate will support Colgate Business teams and CBS Analytics by exploring and finding opportunities for building use cases using Prompt Engineering. The role requires a person to have an understanding of Artificial Intelligence, Machine Learning and Generative AI. The Person should be Analytical problem solver with the ability to work on large data sets, collaborative and customer focused (proactive and Responsive to Business needs) and Effective in Written and verbal communication skills. Main Responsibilities: Design, develop and refine AI-generated text prompts for various applications Collaborate with content creators, product teams and data scientists to ensure prompt alignment with company goals and user needs Monitor and analyze prompt performance to identify areas for improvement Optimize AI prompt generation process to enhance overall system performance Stay up-to-date on the latest advancements in AI, natural language processing and machine learning Provide support to teams in understanding prompt engineering best practices Required Qualifications:(Education, Knowledge required,Skills): Bachelor of Engineering/Sciences , MBA 1 years of experience in programming languages, AI-related tools such as ChatGPT, and data analysis techniques Comprehensive understanding of natural language processing, machine learning and AI-generated content development Knowledge of Data Transformation tools - R/Python/ SQL/Cloud solutions ( GCP ) Working knowledge of visualization tools like Tableau, DOMO, Data studio Ability to Read , Analyze and Visualize data Effective Verbal & Written Communication for Business engagement. Preferred Qualifications: Excellent problem-solving and analytical skills Ability to collaborate effectively with cross-functional teams Working knowledge of consumer packaged goods industry Understanding of Colgate s processes, and tools supporting analytics (for internal candidates) Willingness and ability to experiment with new tools and techniques Good facilitation and project management skills

As an Associate Software Engineer specializing in Biological Studies ( In Vitro ), you will design, develop, and maintain software solutions for research scientists. You will be a key part of a multi-functional team that leverages technology and data to evaluate drug candidates and assess their biological impact. This team is responsible for implementing scientific software platforms that enable the capture, analysis, and reporting of in vitro assays. The ideal candidate will have strong technical skills and full-stack software engineering experience, with a background in the pharmaceutical or biotech industry. Roles & Responsibilities Software Development: Design, develop, and implement applications, custom reports, and enhancements. You will analyze functional and technical requirements and translate them into software architecture and design specifications. Full-Stack Development: Contribute to both front-end and back-end development using cloud technology. You will also work on integrating with other systems and platforms to ensure seamless data flow and functionality. Quality Assurance: Develop and implement unit tests, integration tests, and other testing strategies to ensure software quality. You will be responsible for identifying and resolving software bugs and performance issues. Collaboration & Innovation: Work closely with the product team, scientists, and other stakeholders to deliver high-quality software on time. You will also have the opportunity to develop innovative solutions using generative AI technologies. System Maintenance: Provide ongoing support and maintenance for applications, ensuring they operate smoothly and efficiently. This includes automating operations, monitoring system health, and responding to incidents to minimize downtime. Qualifications A Bachelor's degree with 1-3 years of experience or a Diploma with 4-6 years of experience in Computer Science, IT, Computational Chemistry, or a related field. Proficiency in a high-level programming language such as Python, Java , or C#.NET . Proficiency in a JavaScript UI Framework like React or ExtJs . Proficiency in SQL ( Oracle, PostGres, Databricks ). Experience with event-based architecture ( Mulesoft, AWS EventBridge, Kafka ). A strong understanding of software development methodologies, especially Agile and Scrum . AWS Certified Cloud Practitioner is preferred. Soft Skills Problem-Solving: Excellent problem-solving, analytical, and troubleshooting skills. Communication: Strong communication and interpersonal skills, with the ability to work effectively with global, virtual teams. Initiative: A high degree of initiative and self-motivation, with the ability to learn quickly and work independently. Teamwork: Team-oriented, with a focus on achieving team goals and managing multiple priorities successfully.