AI Research Jobs in Bengaluru

Position: Product Designer - 2 Location: Bangalore Department: Zetwerk Corporate About Zetwerk Zetwerk is a global manufacturing leader delivering high-quality industrial and consumer products worldwide. With over 10 state-of-the-art facilities across India, the US, Mexico, and Europe, and a supplier network spanning Southeast Asia and Latin America, we offer end-to-end manufacturing solutions combining global standards with local expertise. Our tech-enabled, flexible supply chain enables customized manufacturing strategies such as reshoring, nearshoring, and friendshoring tailored to product, market, and customer needs. Our proprietary Manufacturing Operating System (ZISO) powers real-time supply chain visibility, quality control, efficient logistics, and project management. Backed by prominent investors including Khosla Ventures, Accel, and Sequoia, we recorded an annual turnover exceeding 15,000 crore in FY 2024. Key Responsibilities Own design projects from concept through execution, managing scope and deadlines independently. Collaborate closely with product managers and engineers to identify user problems and develop effective design solutions. Create user flows, wireframes, interactive prototypes, and high-fidelity designs that translate ideas into seamless user experiences. Conduct user research and analytics deep dives; leverage findings to refine designs and improve usability. Partner with developers to ensure accurate and functional design implementation, negotiating trade-offs when faced with technical constraints. Contribute to and maintain the company design system, co-building reusable components with engineering teams. Actively participate in design critiques, reviews, stand-ups, and cross-functional team sessions. Mentor junior designers, fostering a culture of craftsmanship, constructive feedback, and design excellence. Job Requirements Bachelor s or Master s degree in Design or related field. 4 6 years of professional product design experience, preferably in SaaS, B2B, or enterprise software environments. Expert proficiency in Figma, including components, auto-layout, variants, and prototyping; experience with Figma Make AI is a plus. Strong user research skills, including planning, conducting, and synthesizing insights from qualitative and quantitative studies. Experience with user analytics tools like PostHog, Mixpanel, or similar platforms. Prior exposure to designing products for manufacturing, supply chain, or industrial systems is highly desirable. Qualification : Bachelors or Masters degree in Design or related field

Position: Senior Data Scientist - AI Employment Type: Full-Time Location: Bangalore, Karnataka, India Experience Required: 2+ years Job Summary: 5C Network is developing multi-modal AI solutions for autonomous diagnosis of medical imaging. This role focuses on building and deploying advanced AI models using Computer Vision and Vision Language Models to analyze CT and MRI scans, helping detect, segment, and classify abnormalities. Key Responsibilities: Develop, train, and implement computer vision models, VLMs, and 3D models on CT and MRI imaging data. Collaborate closely with leading radiologists and AI researchers from India and the US. Work with product and engineering teams to deploy and operationalize AI models effectively. Contribute to cutting-edge research and assist in publishing findings in academic journals and conferences. Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, or related fields. Proven experience in training and deploying deep learning-based computer vision models. Strong interest or experience in healthcare AI applications. Excellent analytical, problem-solving, and communication skills. Ability to collaborate effectively in a research-driven, team-oriented environment. Technical Requirements: 2+ years of hands-on experience with deep learning. Proficient in Python and deep learning frameworks, especially PyTorch. Experience with well-known computer vision architectures (ResNet, DenseNet, U-Net, Vision Transformers, V-Net, etc.). Expertise in building deep learning architectures from scratch. Experience working with Large Language Models (LLMs) is a plus. Knowledge of model pruning, quantization, and scaling model training and inference on GPUs. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or related fields.

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Artificial Intelligence Engineer Experience: 3 - 8 Years Location: Bangalore (Work from Office) Job Overview We are seeking a talented and experienced Artificial Intelligence Engineer to join our dynamic team. You will be responsible for designing, training, and deploying advanced AI and machine learning models to solve complex business problems. The ideal candidate will have strong expertise in Python, deep learning frameworks, and handling large datasets, coupled with the ability to integrate AI solutions seamlessly into existing systems. Technical Skills Proficiency in programming languages such as Python, R, or Java. Strong experience with machine learning algorithms (regression, classification, clustering). Hands-on expertise with deep learning frameworks like TensorFlow and PyTorch. Skilled in data manipulation, cleaning, and preprocessing techniques. Experience integrating AI models into existing applications and systems. Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment. Preferred Skills Proficiency in Python with NLP libraries such as OpenAI s GPT, LangChain, etc. Knowledge of Large Language Models (LLMs) and fine-tuning methodologies. Experience with Retrieval-Augmented Generation (RAG) to enhance AI responses. Ability to develop and host APIs (preferably on IIS). Basic understanding of SQL and expertise in training, tuning, and deploying models leveraging SQL databases. Benefits Flexible working hours Learning and development opportunities Medical and insurance benefits Company Core Values Positive attitude and collaborative approach to achieving team goals. Clear and respectful communication skills (verbal and written). Emphasis on teamwork over individualism it s all about the we , not the me **. Growth mindset with a commitment to continuous learning and skill improvement. About In4Velocity Since 2004, In4Velocity has been a trusted partner for real estate, construction, and infrastructure companies, helping streamline their operations through innovative technology. Our flagship product, In4Suite , provides a comprehensive, unified ecosystem connecting all aspects of real estate organizations for a full 360-degree view. Supported by a powerful Business Intelligence system and unparalleled global support, our product is the go-to platform for digital transformation in real estate development and construction management worldwide. Join us to be part of a pioneering force driving innovation and progress in the real estate domain.

GenAI Engineer Location: Bangalore, India About the Team Rubrik s IT team is at the forefront of AI-powered transformation, focused on building intelligent automation and scalable data solutions to support the company s mission. As part of the newly established IT AI team, you ll help develop AI agents and workflows to unlock the full potential of generative AI in data engineering. About the Role We re seeking a GenAI Engineer to join our Data Engineering team, specializing in the development and deployment of AI agents and workflows powered by large language models (LLMs). You ll be responsible for integrating data sources, developing MCP clients/servers, and collaborating with cross-functional teams to drive GenAI adoption across the organization. Key Responsibilities Design and implement data integrations using MCP protocols or traditional data extraction methods Build scalable data pipelines for GenAI model training and deployment using tools like Snowflake Cortex, Gemini Agentspace, and Databricks LLM (Mosaic AI, RAG, Model Serving) Ensure high standards of data quality, integrity, and scalability for both structured and unstructured AI workloads Collaborate with business, data engineering, and application development teams to create AI-enabled products Integrate pipelines into existing infrastructure for seamless data flow and analytics Support high-quality data products tailored for AI and machine learning workflows Required Experience 1+ years building AI Agents or working with platforms like Snowflake Cortex, Gemini Agentspace, or similar open-source frameworks 3+ years in data engineering with a focus on AI/ML workloads 5+ years in data analytics using Snowflake or Databricks Strong programming skills in Python, Java, or Scala Familiarity with data storage, APIs, and cloud configurations Experience with data governance and scalable system design Solid understanding of LLMs, transformers, and frameworks such as LangChain Strong analytical and problem-solving skills in a dynamic environment Preferred Qualifications Proven experience building AI Agents and agentic workflows Understanding of MCP and Agent2Agent protocols Knowledge of generative model architectures and applications in data engineering Familiarity with data security and governance best practices in GenAI Experience with Agile methodologies and tools such as Jira and GitHub Join Us in Securing the World s Data Rubrik (NYSE: RBRK) is committed to delivering Zero Trust Data Security. Our ML-powered platform protects data across enterprise, cloud, and SaaS applications, helping organizations stay resilient against cyberattacks and disruptions.

Data Scientist with GenAI-2 Location: Bengaluru, India Company: Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) Company Overview Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. Job Description Key Responsibilities: Research, design, develop, and modify computer vision and machine learning algorithms and models, leveraging technologies such as Caffe, Torch, or TensorFlow. Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops, and prototyping initiatives. Help build a high-impact ML/AI team by supporting recruitment, training, and development of team members. Serve as an evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations, and/or other channels. Design integrations of and tune machine learning and computer vision algorithms. Research and prototype techniques and algorithms for object detection and recognition. Use Convolutional Neural Networks (CNN) for performing image classification and object detection. Familiarity with Embedded Vision Processing systems. Work with open-source tools & platforms for statistical modeling, data extraction, and analysis. Construct, train, evaluate, and tune neural networks. Mandatory Skills: Proficiency in Java, C++, Python. Experience with Deep Learning frameworks such as Caffe, Torch, TensorFlow. Experience with image/video vision libraries like OpenCV, Clarifai, Google Cloud Vision. Expertise in Supervised & Unsupervised Learning. Development of feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, random forest) on big data computation platforms (Hadoop, Spark, HIVE, Tableau). Familiarity with technologies such as Tableau, Hadoop, Spark, HBase, Kafka. Experience: 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence. Experience in creating and applying Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross-functional teams. Experience with cloud services like AWS, Microsoft, IBM, and Google Cloud. Experience with Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems, or similar fields. Nice to Have: Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience. About Wipro Wipro is building a modern digital transformation business with bold ambitions. Join a team that values reinvention of yourself, your career, and your skills. Wipro is a place that empowers you to design your own career reinvention, evolve, and grow. Applications from people with disabilities are explicitly welcome. Qualification : BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience.

Principal Applied Scientist Location: Bangalore, Karnataka, India Employment Type: Full-Time Overview Join the Computational Advertising Team within the AI & Research organization at Microsoft. We are seeking a passionate Principal Applied Scientist with expertise in machine learning, deep learning, natural language processing, and optimization. The team works on some of the most exciting problems in machine learning, powering the search advertising ecosystem of Bing, which holds a 30% share of desktop search in the US and a significant presence worldwide. The Principal Applied Scientist will contribute to building large-scale machine learning systems that model user responses, ranking, and various other business applications. Your work will have direct business impact, collaborating with top-tier machine learning scientists and engineers to deliver innovative solutions. Key Responsibilities Design & Implement ML Algorithms: Develop, tune, and analyze complex algorithms for large datasets and real-time systems in the advertising ecosystem. Productionize Machine Learning Models: Focus on deploying machine learning models in large-scale production environments, ensuring high-quality and sustainable performance. Collaborate with Experts: Work closely with cross-functional teams of scientists and engineers to integrate advanced machine learning techniques into production systems. Research & Development: Contribute to ongoing research in machine learning, optimization, and information retrieval to advance the core technologies in search advertising. Mentorship & Thought Leadership: Share your expertise with the team, mentor junior scientists, and help shape the direction of research efforts within the team. Qualifications Required Qualifications: Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics. Additional Requirements: Strong understanding of probability, statistics, machine learning, A/B testing, and optimizing ML models for accuracy. Experience with distributed computing systems (e.g., Hadoop, Spark) for large-scale training and prediction with ML models. Hands-on experience implementing machine learning algorithms from research papers to production systems. Expertise in TensorFlow or PyTorch and deep learning models. Preferred Qualifications: Solid understanding of natural language processing (NLP), information retrieval, and optimization techniques. Experience working with large-scale, real-time systems and databases. Strong track record of delivering machine learning systems to production and optimizing them at scale. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft, you ll have the opportunity to work with the brightest minds, contribute to cutting-edge AI advancements, and make a significant impact in a growing $100 billion global market. Employee Benefits Industry-leading healthcare coverage Generous paid time off and family leave policies Access to continuous learning and professional development resources Employee discounts and savings programs Opportunities to collaborate with the world s leading AI experts Global networking and community engagement opportunities Microsoft is an equal opportunity employer. We are committed to fostering an inclusive environment where all individuals are treated with respect, regardless of race, gender, religion, disability, or any other characteristic protected by law. Qualification : Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics.

Machine Learning Engineer 5 Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is transforming the world through digital experiences. From individual creators to global enterprises, our tools empower everyone to create stunning visuals, videos, applications, and more. We believe in fostering an inclusive and innovative workplace where ideas can come from anyone, anywhere and the next big breakthrough could be yours. The Opportunity Adobe Express enables users from beginners to professionals to design eye-catching content with ease, powered by advanced AI technologies. At the heart of this mission is the AI Foundations team, which is building modular, reusable AI systems and the Horizon AI Stack to supercharge the Adobe Express experience. As a founding member of this elite team, you will tackle strategic AI challenges and deliver scalable, high-impact solutions. What You ll Do Drive the vision and development of reusable, cloud-scale AI systems for Adobe Express. Collaborate with Adobe Research, Applied AI teams, and engineering stakeholders to align AI capabilities with product strategy. Lead all aspects of ML product development: data pipelines, model development, and quality evaluations. Recruit, mentor, and manage a high-performing team of ML engineers and data scientists. Balance cutting-edge research with business-critical deliverables prototyping new ideas, validating, and scaling them. Foster a culture of innovation, experimentation, and scientific rigor focused on solving customer problems. Ensure engineering excellence in architecture, development, and on-time delivery of AI solutions. Basic Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field. 8+ years of industry experience in machine learning, deep learning, or optimization algorithms. 3+ years of experience managing ML/AI teams in a product-focused environment. Preferred Qualifications Experience working in creative tools, design platforms, or imaging domains. Familiarity with LLMs, Diffusion Models, and generative AI techniques. Proven experience in building large-scale, production-grade ML systems. What You Need to Succeed Demonstrated success in building and managing top-tier ML teams that deliver high-quality solutions. Experience shipping widely adopted AI-driven features to large customer bases. Customer-obsessed with a strong product sense and ability to translate user needs into AI capabilities. Outstanding communication skills able to articulate technical ideas to both technical and non-technical audiences. Strong problem-solving, leadership, and strategic decision-making abilities. Work at the intersection of creativity and AI building technologies that empower millions of users globally. Collaborate with world-class researchers and engineers in a mission-driven, inclusive environment. Enjoy robust career growth, leadership opportunities, and excellent employee benefits. Adobe is proud to be an Equal Opportunity Employer. We believe diversity fuels innovation and we re committed to building an inclusive environment for all employees. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field.

Research Scientist Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is leading the way in transforming the world through digital experiences. From emerging creators to global enterprises, we empower everyone to bring ideas to life with powerful images, videos, documents, and applications across every platform. Innovation, creativity, and inclusivity are the cornerstones of our company culture where great ideas can come from anyone, anywhere. About Adobe Research Adobe Research is one of the world s premier industrial research organizations, where we invent the future of creativity, documents, and autonomous systems through cutting-edge AI and ML innovation. We blend academic excellence with product-focused impact, shaping how millions interact with Adobe s tools and platforms every day. Areas of Research Focus Natural Language Processing (NLP) Natural Language Generation (NLG) Human-Computer Interaction (HCI) and User Experience (UX) Computer Vision Deep Learning & Machine Learning Artificial Intelligence (AI) Image, Audio, Video, and Multimodal Data Processing Autonomic Systems and Computing Responsibilities Invent, design, and prototype breakthrough AI technologies for next-generation Adobe products. Identify emerging research areas and help shape Adobe s long-term research agenda. Publish your work in top-tier journals and conferences, establishing thought leadership in your field. Collaborate with leading academic institutions and global research communities. Partner with cross-functional teams of engineers, designers, and product managers to bring research innovations to production. Required Qualifications Ph.D. (preferred) or Master s degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical field. Proven research excellence with a strong publication record in top-tier conferences or journals. Strong experience in one or more of the following: machine learning, deep learning, NLP, computer vision, or multimodal data processing. Demonstrated ability to solve complex, open-ended problems and innovate under uncertainty. Proficiency in software development and modeling (e.g., Python, PyTorch, TensorFlow, etc.). Excellent communication skills, including scientific writing and presentation abilities. Preferred Qualifications (for Senior Roles) 7+ years of research experience in academia or industry. Experience leading research teams or initiatives with significant real-world impact. Collaborate with world-class scientists and thought leaders. Work on breakthrough research that has direct impact on Adobe products used by millions globally. Enjoy a creative and intellectually rich environment with the freedom to explore your ideas. Publish, present, and build your reputation in the global research community. Competitive compensation, excellent benefits, and flexible work culture. Adobe is an Equal Opportunity Employer committed to building a diverse and inclusive workforce. We welcome candidates from all backgrounds and experiences. Qualification : Ph.D. (preferred) or Masters degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical field.

AI/ML Engineer - Bengaluru, India Experience: 4 to 6 years About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in technology services and consulting. Operating in 65 countries with over 230,000 employees, Wipro helps organizations achieve digital transformation through innovative, future-ready solutions. Role Overview We are hiring an experienced AI/ML Engineer to work on advanced machine learning and Generative AI solutions. You will design prompt engineering pipelines, develop ML models using frameworks like TensorFlow and PyTorch, and deliver scalable backend services using Python and Django. Key Responsibilities Design and implement GenAI-based use cases using prompt engineering techniques Build REST APIs and scalable microservices using Python and Django Evaluate GenAI model performance and implement guardrails Deploy applications to Azure or AWS cloud environments Lead prompt lifecycle management including tuning, templating, and optimization Ensure integration with databases and external APIs Use CI/CD tools for continuous deployment (Azure DevOps, Jenkins, Ansible, Terraform) Mandatory Skills Python, Django, REGEX AI/ML, Deep Learning, NLP TensorFlow, PyTorch Generative AI, LLMs, RAG Pipelines REST API development Preferred Skills API Gateways: WSO2, KONG, nginx Apache HTTP Server Azure DevOps, Ansible, Jenkins, Terraform Databricks Additional Requirements Understanding of OOP, design patterns, and scalable architecture Familiarity with Docker and version control tools like GitHub or Bitbucket Team leadership in prompt engineering and stakeholder engagement Knowledge of secure prompt design to mitigate injection or leakage risks Join a forward-thinking digital transformation company where your ideas shape the future. We value diversity, innovation, and continuous learning. Applications from individuals with disabilities are highly encouraged.

Engineer, Principal/Manager - Machine Learning, AI Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced and visionary Principal AI/ML Engineer to lead research, development, and optimization of AI inference systems. This role involves developing high-performance AI models, optimizing deployments across various hardware platforms, and contributing to research in model compression, quantization, and hardware-aware optimization. Education & Experience PhD with 6+ years, Master's with 7+ years, or Bachelor's with 8+ years in Engineering, CS, or related field. 20+ years of experience in AI/ML development; 5+ years in inference optimization and debugging. Key Responsibilities Model Optimization & Quantization Optimize models using quantization (INT8, INT4, mixed precision), pruning, and knowledge distillation. Implement PTQ and QAT techniques for deployment. Experience with TensorRT, ONNX Runtime, OpenVINO, TVM. AI Hardware Acceleration & Deployment Target platforms: Hexagon DSP, CUDA GPUs, TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine. Use Python APIs: cuDNN, XLA, MLIR for hardware acceleration. Benchmark and debug performance across platforms. AI Research & Innovation Research on efficient AI inference: model compression, low-bit precision, sparse computing. Explore architectures like Sparse Transformers, Mixture of Experts, Flash Attention. Publish in ML conferences: NeurIPS, ICML, CVPR; contribute to open-source projects. Technical Expertise Optimization of LLMs, LMMs, LVMs for inference. Deep Learning frameworks: TensorFlow, PyTorch, JAX, ONNX. Expert in CUDA, cuPy, Numba, TensorRT, ONNX Runtime, OpenVINO. Skilled in Python for scalable AI development. Experience with ML runtime delegates: TFLite, ONNX, Qualcomm AI Stack. Debugging: Netron, TensorBoard, PyTorch Profiler, Nsight, perf, Py-Spy. Cloud inference: AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi. Hardware-aware optimization: oneDNN, ROCm, MLIR, SparseML. Contributions to open-source and research publications are a strong plus. Leadership & Collaboration Lead a team of engineers in Python-based AI inference and optimization. Collaborate with researchers, software engineers, DevOps, and hardware vendors. Define debugging, deployment, and performance tuning best practices.

Staff/Senior Staff AI Developer Advocate Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary We are looking for Developer Advocates to enable developers building with generative AI and AI-driven hardware applications. You will engage with the community and create resources to onboard developers on our platforms. Qualcomm products touch multiple industries, including mobile, laptops, mixed-reality, robotics, and industrial IoT. You will work closely with product, engineering, and regional sales teams to drive awareness and engagement for our platforms. You are a builder who loves writing code and integrating AI models into applications. Whether it's language-based use cases, computer vision, or audio, you can effortlessly integrate open-source models (large or small) and distilled models into applications. You are also a community builder, engaging, ideating, and helping others realize their development goals. Your contributions and insights from the community will directly impact product improvements, drive feature prioritization, and help create a repository of community-contributed sample applications, tutorials, and content. You will engage with community builders and influencers to build ecosystems that encourage constant collaboration. Responsibilities Engage with external developers in at least one of the following application areas: IoT, Automotive, Microsoft device ecosystem. Collaborate across software, hardware engineering, developer marketing, and product management teams. Understand trends in ML model design and workflow through academic research and developer engagements. Ensure comprehensive sample applications for AI on Linux/Windows using Snapdragon to cover a variety of models and use cases. Interface with 3rd party developers and internal teams to create easy-to-use sample applications and documentation for Windows on Snapdragon. Contribute new features and designs to the Qualcomm AI toolkit to enhance the developer workflow. Minimum Qualifications Bachelor's or advanced degree in computer science, artificial intelligence, or a related field. 6+ years of software engineering, systems engineering, or related work experience. Preferred Qualifications Excellent understanding of AI frameworks (e.g., TensorFlow, PyTorch), GPU programming, and parallel computing. Experience with large language models/foundational models is a plus. Good understanding of the complete AI software stack and AI performance tuning techniques on GPU, NPU-based systems. Experience in developing end-to-end AI applications on Windows using Windows ML, DirectML. Experience with training and deploying models on servers and porting them to client Windows compute platforms, including inference deployment and performance tuning. Proficiency in programming languages such as Python and C++. Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Strong leadership abilities to guide development teams. Attention to detail with strong problem-solving, analytical, and debugging skills. Ability to adapt quickly and learn in a fast-changing environment. Familiarity with software development methodologies, version control systems, and agile project management practices. 12+ years of application development experience, with 5+ years in AI application development on Windows. Bachelor's degree in Computer Science or Electrical Engineering. Qualification : Bachelor's or advanced degree in computer science, artificial intelligence, or a related field.

Research Engineer Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 0-8 years Company: IBM Research India (IRL) Introduction: IBM Research is the innovation engine of IBM and is the largest industrial research organization in the world. With 12 labs across 6 continents and over 3200 researchers globally, we produce more patents daily than any other organization. At IBM Research India (IRL), we are shaping the future of computing in areas like AI, Hybrid Cloud, and Quantum Computing. Our work is at the forefront of breakthrough innovations in Foundation Models, AI systems, large-scale data engineering, and more. We are looking for top talent to join us in our exciting and dynamic projects, pushing the boundaries of innovation. As a Research Engineer, you will work on pioneering research and development in the most cutting-edge fields of AI and computing. Role Overview: The Research Engineer role at IBM India Research Lab (IRL) involves working on challenging, dynamic, and highly innovative projects in the fields of AI, machine learning, and data systems. Your responsibilities will span multiple areas including optimizing AI models for large-scale distributed systems, pre-training foundation models, and developing real-world use cases that leverage IBM s infrastructure and models. Key Responsibilities: Optimized Runtime Stacks for Foundation Models: Work on fine-tuning, inference serving, and large-scale data engineering for AI models. Focus on multi-stage tuning, reinforcement learning, inference-time compute, and preparing data for complex AI systems. Model Optimization Across Accelerators: Develop solutions to optimize models for multi-accelerator environments, particularly focusing on IBM s AIU accelerator. Work on compiler optimizations, specialized kernels, libraries, and tools to enhance model performance. Pre-training and Deployment of Foundation Models: Participate in pre-training language models and multi-modal foundation models. Work on distributed training procedures, model alignment, and creating pipelines for various tasks, including LLM-generated data pipelines. Research and Use Case Development: Develop and implement use cases that effectively leverage infrastructure and models to drive real-world value. Contribute to creating frameworks for human-data collection and deploying models on user-centric platforms. Required Education and Experience: Education: A Master s degree in Computer Science, AI, or related fields from a top institution. Experience: 0-8 years of experience working with modern ML techniques, including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, and inference optimizations. Technical Skills: Experience with big data platforms such as Ray and Spark. Experience with Pytorch FSDP and HuggingFace libraries. Proficiency in programming with Python or web development technologies. Mindset and Attitude: A growth mindset and pragmatic approach to problem-solving. Preferred Experience: Research Experience: Peer-reviewed research at top machine learning or systems conferences. Advanced Technical Skills: Experience working with pytorch.compile, CUDA, Triton kernels, GPU scheduling, and memory management. Open Source Contributions: Experience working within open-source communities, contributing to or developing open-source projects. Innovative Environment: Be at the forefront of technological innovation, working on cutting-edge projects in AI, quantum computing, and more. Global Impact: Work on projects that influence both academic research and commercial product development, making a global impact. Career Development: IBM offers abundant opportunities for learning and growth, with access to the latest technologies and research. Collaborative Culture: Work with a diverse team of world-class researchers and engineers in a collaborative, open-source-driven environment. Apply today and become a part of the team that s redefining innovation. Qualification : A Masters degree in Computer Science, AI, or related fields from a top institution.

Job Title: AI/ML Engineer (LLM-driven Products) Location: Bengaluru, Karnataka Experience: 3+ years Work Modality: Full-time (Work from office) Job Description: We are seeking an AI/ML Engineer to help develop LLM-driven products from the ground up. The ideal candidate will have a strong programming background and experience working with Transformer architecture to design cutting-edge AI systems. If you're passionate about implementing scalable AI solutions and driving innovation, we would love to have you join our team! As part of the team, you will work on transformer models like BERT, GPT, T5, and other small LLMs for Natural Language Processing (NLP) and Computer Vision tasks. You will have the opportunity to work on impactful AI solutions that are designed to scale globally. Key Responsibilities: LLM Product Development: Design and develop products powered by large language models (LLMs), ensuring they meet the technical requirements and scale for global deployment. Model Fine-tuning & Optimization: Fine-tune transformer models for tasks such as text classification, summarization, image generation, and recognition. Implement optimization techniques to accelerate model performance, including GPU optimization and model quantization. AI Solutions Implementation: Translate AI research into actionable product features, ensuring AI models are implemented effectively to solve real-world problems. Collaboration & Communication: Work closely with cross-functional teams to integrate AI models and solutions into larger products. Communicate complex technical concepts to non-technical stakeholders. Model Deployment: Deploy models using frameworks like Flask, FastAPI, or through cloud-based inference services. Data Preprocessing & Training: Engage in data preprocessing and feature engineering to improve the performance of AI models. Required Qualifications: Experience: 3+ years of hands-on experience in AI/ML, specifically working with Transformer-based models like BERT, GPT, T5, ViTs, or small LLMs. Technical Skills: Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. In-depth understanding of Transformer architecture and its applications in NLP (text classification, summarization) and Computer Vision (image generation, recognition). Experience in deploying models using frameworks like Flask, FastAPI, or cloud-based inference services. Familiarity with GPU acceleration, model optimization, and model quantization. Proficient in data preprocessing, feature engineering, and training workflows. Analytical Skills: Ability to independently analyze open-source code repositories and leverage existing models for further optimization. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Innovative Work Environment: Work on cutting-edge AI and machine learning solutions with the opportunity to shape innovative products. Career Growth: Opportunities to advance your career in AI/ML and work with a team of passionate professionals. Comprehensive Benefits: A benefits package designed to support your overall well-being and work-life balance.

AI & Cloud Solutions Architect - Infrastructure AI COE Introduction The Infrastructure AI Center of Excellence (COE) is a dedicated team of technical professionals focused on leveraging AI to empower IBM Infrastructure employees to be more effective in their jobs or improve customer's experience when they interact with IBM. We along with the AI Guild serves as a vehicle for knowledge sharing, collaboration, & skill development related to AI. Our core objectives are VELOCITY and SAFETY. We want to help roll out AI projects as quickly as possible, while also ensuring that they are done safely and while operating within the guardrails for AI usage within IBM. Your Role and Responsibilities Looking to make a significant impact? This is your chance to become a key technical architect in a dynamic team of talented professionals, designing and architecting innovative, industry-leading, cloud-based AI services. We are seeking an experienced AI & Cloud Solutions Architect to join us. This technical leadership role focuses on designing scalable architectures, establishing technical standards, and providing architectural oversight for AI-based services. You will be instrumental in solving complex technical challenges, designing system architectures, and collaborating with development teams to implement robust AI solutions. You will establish architectural principles and patterns while ensuring technical excellence across projects. Your efforts will ensure scalable, maintainable, and secure AI solutions for our customers. As an essential part of the technical leadership team, you will shape the technical vision while providing architectural guidance to development teams. Design and establish architectural frameworks for AI and cloud-based solutions. Create and maintain technical roadmaps for AI implementations across the infrastructure. Provide architectural oversight and technical direction for complex AI projects. Define technical standards, patterns, and best practices for AI solution development. Evaluate and recommend new technologies and frameworks for AI implementations. Collaborate with development teams to ensure architectural compliance and technical excellence. Design scalable, secure, and maintainable AI solutions. Create detailed architecture documentation and technical specifications. Review and approve technical designs and implementation approaches. Identify and mitigate technical risks in AI solution architectures. Required Education Bachelor's Degree Required Technical and Professional Expertise Minimum 7-12 years of experience in software development with focus on technical architecture. Deep expertise in designing AI solutions using frameworks like TensorFlow, PyTorch, LLMs, Generative AI. Strong background in cloud architecture patterns and microservices design. Extensive experience with distributed systems architecture and design patterns. Expert knowledge of backend technologies, including server-side languages (Node.js, Python, Java) and databases. Proven experience in designing RESTful APIs and event-driven architectures. Deep understanding of Cloud Technologies, Kubernetes, Kafka, Object Storage, and container technologies. Strong background in security architecture and compliance requirements. Experience in designing highly available and scalable cloud services. Expert knowledge of architectural patterns for AI model deployment and integration. Preferred Technical and Professional Experience Experience with emerging AI technologies and architectural patterns. Knowledge of enterprise architecture frameworks. Background in designing solutions for hybrid cloud environments. Experience with performance optimization and scalability design. Strong technical documentation and diagramming skills. Expertise in API design and management. Background in designing event-driven architectures. Experience with infrastructure as code and automation. Knowledge of AI governance and responsible AI principles. Track record of successful large-scale AI solution implementations.

Job Title: AI Engineer Group: Platform & Energy Business Unit: CARIAD Business Unit India Location: Whitefield, Bangalore Experience: 5 to 9 years About CARIAD (Car, I Am Digital) CARIAD is an automotive software company that brings together the Volkswagen Group's software capabilities and builds upon them to drive innovation across the automotive industry. We are developing a unified technology and software platform, including a vehicle operating system, a vehicle cloud platform, and a new architecture for all Volkswagen Group brands. Operating under a licensing agreement with CARIAD SE in Germany, CARIAD India is at the heart of transforming automotive mobility through technology. Join us and become part of a team that is building the future of automotive software. With a talented team of over 360 experts at CARIAD India and 6,000+ global CARIDIANs, you will work on cutting-edge platforms and technologies, from firmware and bootloaders to AUTOSAR, Linux/QNX BSP, and service-oriented architecture-based middleware components. Job Description We are looking for an AI Engineer to join our team and contribute to developing innovative AI models and solutions for the automotive industry. As an AI Engineer, you will work with large language models (LLMs), deep learning frameworks, and natural language processing (NLP) techniques, creating impactful AI applications. You will play a key role in AI model development, training, fine-tuning, and integrating AI solutions across automotive platforms. Key Responsibilities: AI Model Development: Design, develop, and implement advanced AI models, specifically leveraging deep learning frameworks like TensorFlow, PyTorch, and Scikit-learn. LangChain Expertise: Utilize LangChain to integrate generative AI capabilities into platforms and applications, ensuring efficient and scalable AI implementations. Large Language Models (LLMs): Implement and fine-tune large language models (LLMs), exploring new ways to enhance their performance and apply them to real-world automotive challenges. NLP Techniques: Apply natural language processing (NLP) techniques to improve AI systems' understanding and processing of textual data. Data Handling: Work with large datasets, performing data preprocessing, cleaning, and analysis to ensure the quality and accuracy of AI models. System Integration: Collaborate with both frontend and backend teams to integrate AI solutions into automotive software platforms. Model Training and Fine-tuning: Lead the training of machine learning models, fine-tune them for specific use cases, and optimize for real-time applications in the automotive domain. Collaboration: Work closely with cross-functional teams, including engineers, data scientists, and product managers, to ensure successful AI application development and deployment. Required Skills and Experience: Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. AI Expertise: Proven experience in developing AI models, particularly using Python and frameworks like TensorFlow, PyTorch, or Scikit-learn. LangChain Knowledge: Strong expertise in LangChain and its use in building generative AI solutions. Large Language Models (LLMs): Solid understanding of LLMs and practical experience implementing them in various applications. NLP Experience: Experience with natural language processing (NLP) techniques, including text processing, semantic analysis, and machine translation. Data Handling: Ability to work with large datasets, performing efficient data preprocessing, cleaning, and analysis. Frontend and Backend Systems: Hands-on experience in both frontend and backend systems, ensuring smooth integration of AI models into full-stack applications. Model Training: Experience in training and fine-tuning machine learning models, especially LLMs, to improve accuracy and performance. Good to Have: Automotive Domain Experience: Familiarity with the automotive industry and how AI can be applied to automotive systems, such as autonomous driving, in-vehicle infotainment, and smart diagnostics. Innovative Environment: Work on cutting-edge AI technologies and contribute to the digital transformation of the automotive industry. Career Growth: Opportunity to develop your career and grow within a global company that values creativity, innovation, and continuous learning. Collaborative Culture: Work alongside a talented and motivated team of experts from around the world to solve complex challenges. About CARIAD India CARIAD India is an integral part of the global CARIAD team, contributing to the advancement of automotive software technologies. By joining CARIAD India, you'll be part of a dynamic team driving innovation in the automotive industry, developing groundbreaking technologies, and creating a positive impact on the future of mobility. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Company Culture and Values: Emphasis on Diversity and Inclusion: Bain & Company prioritizes diversity, inclusion, and collaboration as key factors for building high-performing teams. They believe that fostering a diverse and inclusive environment contributes to the creation of exceptional teams and innovative solutions. Recognition as a Top Workplace: Consistently recognized as a top workplace, Bain & Company is featured on the Glassdoor Best Place to Work list and has maintained a strong position in various workplace rankings since its inception. Focus on Employee Development: The company creates an environment where employees can reach their full potential, both professionally and personally. Bain supports growth through learning opportunities, career advancement, and a focus on personal well-being. Social Responsibility: Bain & Company invests significantly in pro bono services, reflecting its commitment to addressing critical social and environmental challenges globally. The company believes in making a positive impact through expertise and resources. Role: Technical Leader, AIS COE Team Leadership: The role entails building and leading a team of over 40 engineers specializing in software product development within the AIS COE in Bengaluru. As a Technical Leader, you will foster a culture of excellence, collaboration, and innovation, ensuring the team is highly effective and motivated. AI Solution Development: The Technical Leader will oversee the entire lifecycle of AI solutions, from Proof of Concept (PoC) and Minimum Viable Product (MVP) stages to large-scale production deployment. The leader will guide the team in creating reusable model assets and solution accelerators that provide value to clients. Stakeholder Engagement: Collaboration with Bain partners and clients is critical. The role requires promoting the COE s capabilities, understanding client needs, and tailoring solutions to meet those needs. The Technical Leader will occasionally engage directly with clients to solve complex problems and provide strategic guidance. Engineering Excellence: The leader will ensure the delivery of high-quality solutions by maintaining rigorous engineering standards. They will leverage diverse technologies to meet client needs while keeping a sharp focus on performance, scalability, and reliability. Operational Oversight: The Technical Leader will work closely with the operations leader to manage the COE s operations and delivery schedules, ensuring the team meets deadlines and delivers high-impact solutions. Location: Bengaluru, India, with some presence in New Delhi. The role may require some travel for client engagements or operational needs. Qualifications: Education: Advanced degree in Computer Science, Engineering, or a related field. Experience: 12+ years of experience in software engineering, with at least 5+ years of managing engineering teams. Experience in setting up or managing an engineering hub is a significant advantage. Technical Skills: Expertise in computer science principles, software design, and development workflows. Proficiency in programming languages such as Python, Java, or C++. Experience with cloud platforms (AWS, Azure, Google Cloud) and modern software methodologies (e.g., Agile, DevOps). Other Skills: Proven ability in building and scaling engineering teams. Strong leadership skills with a focus on inspiring and guiding teams. Ability to engage with stakeholders, articulate technical solutions, and build trust. Commitment to mentoring and nurturing talent in the engineering field. Excellent collaboration skills and the ability to work with global teams across diverse functions. Key Highlights: Reusable Model Assets & Solution Accelerators: Emphasis on building scalable, reusable assets that can be leveraged across projects, improving efficiency and impact. Agile Delivery Pods & End-to-End Ownership: The team works in agile pods that focus on full ownership of projects, ensuring quality solutions and close collaboration. Growing Team & Innovative Environment: The role offers an opportunity to lead a growing team in a dynamic, innovative environment with ample opportunities for growth and professional development. Remote and Collaborative Work: The team works primarily remotely, allowing for flexibility while focusing on delivering robust solutions with minimal direct client interaction. This role provides an exciting opportunity to lead a talented and dynamic team, contribute to impactful AI and software solutions, and work at the forefront of cutting-edge technology. Qualification : Advanced degree in Computer Science, Engineering, or a related field.

Job Overview Join our collaborative and creative group of AI scientists and machine learning engineers as a Senior AI Scientist! In this role, you'll be instrumental in designing, building, and deploying machine learning models in AI-native applications within our Virtual Expert Platform (VEP). You'll directly impact our customers across QuickBooks, TurboTax, Mailchimp, and Credit Karma, developing AI solutions that enhance customer success by blending AI and human expertise. You'll work on some of the most exciting challenges, from forecasting, capacity planning, optimization, and variance analytics, to recommendation systems and decision systems. The solutions you create will be a key part of multi-billion-dollar services like QuickBooks Live and TurboTax Live. Responsibilities Data Analysis & Modeling: Perform hands-on data analysis and build machine learning models using large datasets. Apply data mining, machine learning (both supervised and unsupervised) to improve algorithms related to relevance and personalization. Collaboration: Work closely with product managers, software engineers, and designers to design experiments and develop minimum viable products (MVPs) that leverage AI technologies. Feature Creation & Refinement: Develop features from raw data, continuously refining models to enhance performance. You'll be experimenting with different features and applying your intuition to make improvements. A/B Testing & Optimization: Run A/B tests, collect data, perform statistical analysis, and assess the impact of your optimizations. Communicate the results to both peers and leaders. Product & Service Innovation: Collaborate with business planners to propose innovative AI-driven products and services. Ensure that AI s power is fully integrated into new services. Infrastructure Collaboration: Work with infrastructure architects to streamline systems and improve data governance for agile and responsive data manipulation. Research & Thought Leadership: Introduce cutting-edge academic or industry research to Intuit leadership to solve complex problems and fuel new business opportunities. Mentorship & Community Building: Serve as an advisor and mentor, helping to grow and nurture a vibrant AI practice within the organization. Qualifications Education: MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field. Experience: 5+ years of experience building AI systems using data mining algorithms and statistical modeling techniques, including: Clustering, Classification, Regression, Decision Trees, Neural Networks, Support Vector Machines, Anomaly Detection, Recommender Systems, Sequential Pattern Discovery, Text Mining, and more. 2+ years of experience in a lead or management role within AI/Data Science. Technical Skills: Proficient in Python and familiar with version control systems like Git/GitHub. Experience with distributed computing and distributed databases (e.g., Hadoop, NoSQL, Hive, Pig). Strong understanding of mathematical concepts and the ability to apply them to create original solutions. Preferred: PhD in a related field. Proven experience working with large-scale machine learning techniques and datasets. Deep experience with Hadoop and related programming environments. Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical stakeholders. Soft Skills: Excellent communication skills and experience influencing at an executive level. Strong interpersonal skills for collaborating with technical teams and making impactful presentations to diverse stakeholders. This is an exciting opportunity to be part of a highly innovative team at the forefront of AI and machine learning. You'll be solving complex, high-impact problems that directly influence customer experiences across multiple industries. The role offers the chance to lead cutting-edge AI projects while mentoring a talented team and driving the development of transformative AI-powered solutions. Qualification : MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.

About the Job Join us as a Generative AI Engineer, where you ll design and develop cutting-edge AI-powered solutions that redefine creativity and innovation. Your work will push the boundaries of what s possible in content generation, from text and images to audio and beyond. In this job, you will: Research & Development: Stay up-to-date with the latest advancements in generative AI and deep learning. Contribute to the development of novel models, exploring innovative algorithms and methodologies. Model Architecture: Design custom generative models using neural network architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and others tailored for specific applications. Data Processing: Prepare and preprocess large-scale datasets for model training. Apply techniques like data augmentation, normalization, and transformation to improve performance. Training & Optimization: Train generative models using frameworks like TensorFlow and PyTorch, optimizing for efficiency, speed, and quality. Hyperparameter Tuning: Fine-tune models for optimal performance, balancing convergence speed, stability, and output diversity. Evaluation Metrics: Develop metrics to assess the quality, diversity, and novelty of generated content. Continuously iterate and improve models based on these metrics. Deployment: Work with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and performance. Collaboration: Partner with data scientists, machine learning engineers, designers, and product managers to translate business requirements into generative AI solutions. Documentation: Document research, experiments, and codebase thoroughly for internal use and external stakeholders. Continuous Learning: Stay informed on emerging technologies, attend industry events, and contribute to ongoing innovation. Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Engineering, or related fields. Strong foundation in machine learning, deep learning, and neural networks. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Hands-on experience with generative models like GANs, VAEs, and their practical applications. Solid understanding of data preprocessing, feature extraction, and model evaluation. Experience training and optimizing neural networks on large-scale datasets. Familiarity with cloud computing and distributed systems (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. A portfolio of generative AI projects or publications is a strong advantage. About Gramener We create software that tells data stories. For example: We advised a global computer manufacturer to focus on order delivery time, increasing NPS by 18% and generating incremental revenue of >$50M. We helped a foundation predict mosquito release points, reducing the process time from 3 weeks to 2 hours in their mission to protect 100M lives from malaria over 5 years. We re good at what we do, which is why we re growing 40% year-over-year. We re looking for passionate innovators to help us scale further. First-hand experience with C-suite-focused business advisory in data & analytics. Opportunities to collaborate with data science experts, domain champions, and client teams, being part of transformative change. A chance to experiment, take risks, and solve meaningful problems. Supportive colleagues and a dynamic environment you ll love working in. Key Metrics for Success Solution quality and business value delivered to clients. Successful project deliveries. Customer satisfaction on engagements. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or related fields.

About DevRev DevRev s AgentOS is a purpose-built CRM platform for SaaS companies, integrating three modern apps for support, product, and growth teams. By converging six teams and replacing nine business apps, we streamline workflows for end users, sellers, support, product teams, and developers. Unlike traditional CRMs, DevRev offers a blank canvas approach to collaboration, AI-driven analytics, and automation, helping SaaS companies increase product velocity and reduce customer churn. Thousands of companies rely on DevRev for low-latency analytics and customizable LLMs in the era of Generative AI. Headquartered in Palo Alto, California, with offices in seven global locations, DevRev has raised $100 million from Khosla Ventures and Mayfield, reaching a $1.1 billion valuation. Founded in 2020 by Dheeraj Pandey (co-founder and former CEO of Nutanix) and Manoj Agarwal (former SVP of Engineering at Nutanix), DevRev is honored to be named on Forbes 2024 list of America s Best Startup Employers. About the Role: Applied AI Engineer The Applied AI Engineering team plays a crucial role in ensuring customers maximize their DevRev experience. As businesses integrate DevRev into their enterprise systems, workflows, and automation, our team collaborates closely with customers to design, develop, and implement tailored AI-powered solutions. Your mission is to bridge the gap between customer needs and technical solutions, ensuring seamless adoption and delivering high-impact AI applications that enhance the DevRev platform. Responsibilities Design, develop, and implement integrations, automations, and customizations to integrate DevRev with customers existing tech stacks and workflows. Leverage AI and Generative AI techniques (e.g., prompt engineering, LLM fine-tuning) to create cutting-edge AI-powered agent experiences. Optimize semantic search engines for improved accuracy and relevance. Conduct data analysis, write SQL queries, and build dashboards to provide insights and inform business decisions. Act as a technical consultant, guiding customers through critical workflows, including integrations with code repositories and enterprise tools. Maintain proactive communication and feedback loops with key stakeholders, including Customers, Engineering, Product, Customer Success, Support, Revenue, and Marketing teams. Continuously learn new technologies and apply them to enhance customer solutions. Ideal Candidate Qualifications Degree in Software Engineering, Computer Science, or equivalent experience. 1-2+ years of hands-on coding experience with TypeScript, JavaScript, Python, APIs, Webhooks, and SQL. Familiarity with Generative AI, including GPT-4, prompt engineering, and fine-tuning. Knowledge of vector databases and data embeddings. Strong communication skills (written and verbal in English). Results-driven mindset, with a passion for problem-solving and innovation. Ability to work independently, take initiative, and drive projects to completion. DevRev Culture At DevRev, we are committed to hiring individuals who are hungry, humble, honest, and act with heart. Our vision is to help build the world s most customer-centric companies, and our mission is to empower engineers to embrace their customers through design, data engineering, and machine intelligence. We seek individuals who thrive in a fast-paced, high-energy environment and are passionate about pushing the boundaries of AI and automation. If you re excited about building AI-driven solutions, working with cutting-edge technologies, and shaping the future of SaaS and CRM, we d love to hear from you! Qualification : Degree in Software Engineering, Computer Science, or equivalent experience.