Applied AI Scientist Jobs in Bengaluru

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, 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.

Data Scientist Location: Bengaluru Department: Global Strategic Services Data Science EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader harnessing AI and data to solve complex business challenges across industries such as Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy. Our flagship solutions include Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. Recognized as a 2022 Technology Innovation Leader and the 2024 Microsoft Energy and Resources Partner of the Year, Cognite is at the forefront of industrial digital transformation. Our Values Impact: We focus on meaningful results. Ownership: We take responsibility, foster inclusivity, and share success. Relentless: We pursue innovation with determination and resilience. Who You Are 3+ years of industry experience (or academic equivalent) in Oil & Gas, Manufacturing, or Power & Utilities, developing analytical solutions for production optimization, predictive maintenance, and related applications (e.g., well monitoring, event prediction, production planning). 1+ years serving as a domain expert on internal or customer projects. Proficient in Python and its data ecosystem (pandas, numpy), and ML libraries such as scikit-learn, Keras, etc. Skilled in data visualization tools like PowerBI, Grafana, Tableau, or web frameworks like Plotly Dash, Streamlit. Advocates for software best practices, including automated testing and documentation. Experienced with version control systems such as Git. Comfortable contributing to large-scale software projects. Pragmatic thinker able to balance short- and long-term tradeoffs. Trusted advisor on machine learning applications, with excellent communication skills for technical stakeholders and customers. Experienced mentor and quality assurer for junior team members. Cloud experience, including building streaming models and deploying serverless functions. Track record working across diverse industries. Eager to stay current with advances in generative AI and explore its practical applications for customers. Be part of a diverse global team with 70+ nationalities and a strong commitment to Diversity, Equality, and Inclusion (DEI). Work from our Bengaluru office (Rathi Legacy, Hoodi) in a modern hybrid environment. Benefit from a flat organizational structure with direct access to decision-makers. Collaborate on impactful, ambitious projects alongside talented professionals across industries. Engage with our community through internal HUBs and open conversations. Make an Impact Join Cognite and help transform industrial sectors by enabling better decisions through AI and data. We encourage candidates of all backgrounds to apply. If you re ready to grow and innovate with us, apply today!

Engineering Leader - Machine Learning Location: Bangalore, Karnataka, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re revolutionizing the future of employment by leveraging artificial intelligence to connect individuals to the right career opportunities based on their skills, not just their network. Our AI-powered Talent Intelligence Platform is transforming how organizations plan, hire, develop, and retain a diverse workforce. With $410M+ in funding and a $2B+ valuation, we re growing rapidly, and if you're passionate about solving one of society's most critical challenges employment then Eightfold is the place for you. Led by visionary leaders like Ashutosh Garg (former Google Search and Personalization leader) and Varun Kacholia (former Facebook and Youtube leader), we are shaping the future of AI-powered talent management. About the AI Platform Team Our AI/ML team is the heart of Eightfold, pushing the boundaries of applied machine learning. We re working with massive datasets, solving complex problems, and building cutting-edge AI models that are reshaping how companies approach talent management. Join us if you re eager to work in a team where every day presents a new challenge and opportunity. What You ll Do As the Engineering Leader - Machine Learning, you ll be responsible for leading and mentoring a high-performing team of engineers, driving the success of AI-driven products at Eightfold. Your primary responsibilities will include: Team Leadership: Coach, mentor, and manage a talented team of engineers to foster a culture of innovation, collaboration, and high performance. ML Model Ownership: Lead the development and deployment of cutting-edge deep learning models across all Eightfold products, ensuring reliability, scalability, and high-quality performance. Platform Development: Help build high-performance, flexible infrastructure that supports a variety of deep learning techniques and modeling approaches. End-to-End ML Pipeline: Oversee the end-to-end process of building and deploying machine learning models, including creating robust data pipelines that can process unstructured data. ML Framework Implementation: Design and implement an intuitive ML development framework that ensures efficiency and ease of use for data scientists and engineers. Model Fairness: Work with our internal model fairness platform to ensure that we are providing equal opportunity for everyone through responsible ML practices. Cross-Team Collaboration: Work closely with product teams to apply deep learning techniques to solve complex business problems across various domains. What You Should Already Know To be successful in this role, you should have: Strong Foundation in ML & Deep Learning: Expertise in applying Natural Language Processing (NLP) and deep learning solutions to solve real-world problems. Experience with Language Models: Familiarity with advanced language models such as BERT, GPT-3, T5, and others. Academic Background: A BS, MS, or PhD in Computer Science, Data Science, Mathematics, or related fields. Proven ML Experience: Hands-on experience building and deploying machine learning models at scale, particularly in production environments. Programming Expertise: Strong knowledge of ML languages such as Python, C++, Java, R, Scala, and experience with scientific libraries like numpy, pandas, and frameworks like TensorFlow, PyTorch, scikit-learn, etc. Strong ML Theory Knowledge: In-depth understanding of ML theory and experience working with large-scale datasets, data ingestion, and processing systems. Experience with Distributed Systems: Familiarity with distributed systems, including REST APIs, microservices, and data processing frameworks. Metrics-Focused: A passion for building high-quality models that deliver results and metrics-driven outcomes. Nice to Have Real-Time Tech Problems: Experience with real-time processing or low-latency systems. Cloud Environments: Familiarity with cloud platforms like AWS, and experience using cloud-based ML tools. MLOps Tools & Pipelines: Experience with MLflow, Metaflow, or similar tools to streamline ML workflows and operations. Advanced Tech Stack: Familiarity with tools like Spark, MLlib, Databricks, Apache Airflow, etc. Impactful Work: Join a company dedicated to solving one of society's most pressing issues employment. Your work will have a direct impact on individuals' careers around the world. Innovation at Scale: Work with cutting-edge AI and ML technologies to shape the future of talent management. Competitive Compensation: Receive an attractive salary, equity, and comprehensive benefits package (including family medical, vision, and dental coverage). Collaborative Environment: Work in a culture that values transparency, ownership, and collaboration across teams. Hybrid Work Model: Enjoy a hybrid work environment, with flexibility for remote work and in-office collaboration at our Bangalore office. Growth Opportunities: Be part of a rapidly scaling company with vast opportunities for career development and leadership roles. Equal Opportunity Employer Eightfold.ai is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. If you are an experienced and visionary leader in Machine Learning, eager to make a lasting impact while solving one of society's most important challenges, we would love to hear from you. Qualification : BS or MS or PhD degree in Computer Science, Data Science or Mathematics

Lead Data Scientist Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company creating service intelligence products that are transforming industries such as high-tech devices, manufacturing, and medical devices. Backed by top Silicon Valley venture capitalists and an esteemed group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds. By analyzing structured and unstructured data, alongside insights from leading experts, we empower service leaders to improve key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you'll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. Our goal is to lead the AI revolution in service decision-making, and we want you to be a part of that journey. About the Team As a Lead Data Scientist, you ll play a pivotal role in designing, developing, and deploying NLP-driven solutions for processing and analyzing large volumes of unstructured data. Your deep technical expertise will help launch AI products that directly impact users. You ll also mentor junior team members, ensuring technical excellence and fostering growth within the team. You'll collaborate closely with cross-functional teams and customers to solve complex challenges and create impactful AI solutions. What You ll Do: Lead NLP Development: Oversee the development and deployment of NLP-based solutions for processing and analyzing unstructured data at scale. Machine Learning Model Development: Design, train, and optimize machine learning models using popular libraries such as PyTorch, NLTK, and Scikit-learn. Cloud Deployment: Architect and deploy AI/ML products on cloud platforms such as Azure, GCP, or AWS. Collaboration: Work with data engineering teams to ensure seamless integration of AI models into production systems. Data Analytics: Perform advanced SQL analytics to extract actionable insights from structured datasets. Mentorship: Guide and mentor junior data scientists, fostering a culture of technical excellence within the team. Customer Engagement: Work closely with customers to understand their needs and translate those into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Stay Current: Keep up-to-date with the latest advancements in NLP and machine learning to ensure best practices and cutting-edge solutions are applied. What We re Looking For: Experience: Minimum 10 years of experience in data science, specifically focused on NLP and unstructured data processing. Track Record: Proven experience in launching NLP-driven products to live users. Technical Expertise: Expertise in Python and libraries such as PyTorch, NLTK, and Scikit-learn. Hands-on experience with Transformer-based models (e.g., BERT, GPT). Cloud Proficiency: Strong experience with cloud platforms like Azure, GCP, or AWS for hosting and deploying AI/ML products. Data Engineering Knowledge: Familiarity with data engineering pipelines and best practices for scalable AI model deployment. SQL Proficiency: Proficient in SQL for data manipulation and advanced analytics. Problem-Solving: Excellent problem-solving skills with a strong ability to work with large-scale datasets. Leadership & Communication: Strong interpersonal and communication skills, with the ability to mentor team members and interact effectively with customers. Preferred Skills: MLOps Knowledge: Understanding of MLOps practices for model deployment, monitoring, and lifecycle management. Data Processing Tools: Familiarity with tools like Airflow, Spark, or similar frameworks for data processing. Customer-Facing Experience: Background in working with customer-facing applications and APIs to deliver AI-powered solutions. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making using advanced AI technology, and we are committed to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Hybrid work model with flexibility to work from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about building innovative AI-driven solutions and want to be part of a forward-thinking team, we d love to hear from you!

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.

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.

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.

Overview At Microsoft, we run the biggest platform for collaboration and productivity in the world with hundreds of millions of consumer/enterprise users. Solving AI, Systems, and Compliance challenges is crucial for delivering the best-in-class productivity experiences. M365 Research is an Applied Research team driving medium and long-term product innovations. We closely collaborate with multiple research teams and product groups across the globe who bring a multitude of technical expertise in cloud systems, machine learning, privacy, and software engineering. We communicate our research both internally and externally through academic publications, open-source releases, blog posts, patents, and industry conferences. Further, we also collaborate with academic and industry partners to advance the state of the art and aim for material product impact that will affect 100s of millions of customers. We are looking for a Researcher with background in generative AI, including domain adaptation, scalable and distributed machine learning, modular AI, privacy, security, and reliability in AI, and related areas. You will be one of the key researchers driving the strategy and execution of our research agenda in a team of 40+ world class researchers. You will help drive cross-organizational execution to deliver strong business and academic impact. Microsoft s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Master's Degree in relevant field AND 3+ year(s) related-research experience OR equivalent experience. Experience participating in a top conference in relevant-research domain. Experience publishing academic papers as a lead author or essential contributor. Doctorate in relevant field OR equivalent experience. Responsibilities Conduct novel research to advance the state-of-the-art Large Language Model / Generative AI experiences to enable their deployment at scale. Work with a small group of fellow research scientists and product engineering teams to execute practical solutions for real-world impact. Drive the end-to-end research agenda from establishing the problem definition to building algorithms and models. Publish and contribute to top scientific conferences and journals. Qualification : Master's Degree in relevant field AND 3+ year(s) related-research experienceOR equivalent experience.

Staff Engineer - Software Development (Cloud AI & Network Security) Location: Bengaluru Company: Aviatrix Experience Required: 7+ Years About Aviatrix: Aviatrix is a global leader in cloud network security, trusted by over 500 enterprises. We provide a specialized platform for securing multi-cloud environments, giving organizations the control and visibility needed to modernize their cloud strategies. Architectural Focus & Impact As a Staff Engineer, you will architect and deliver advanced AI-driven network security solutions. This role bridges the gap between Distributed Systems (Python/Go), Real-time Telemetry, and LLM-integrated automation to build self-learning, adaptive security infrastructures. Technical Expertise Core Software Engineering: Languages: Deep proficiency in Python and Go (Golang). Distributed Systems: Mastery of Kubernetes, Microservices, and high-scale observability (Prometheus, ELK). Data Pipelines: Experience with real-time stream processing using Kafka, Flink, Kinesis, or Pub/Sub. Networking & Security Domain: Cloud Infrastructure: Expert knowledge of VPC/VNet design, Routing, Load Balancers, and Overlays. Firewall Technologies: Hands-on with Deep Packet Inspection (DPI), NGFW/IDS/IPS, and Cloud-native firewalls (AWS, Azure, GCP). Security Frameworks: Alignment with Zero Trust, NIST CSF, and CIS Benchmarks. AI & Machine Learning Integration: Model Serving: Experience serving ML models via REST or gRPC. Generative AI: Familiarity with LLM integration, RAG (Retrieval-Augmented Generation), LangChain, and vector databases. Key Responsibilities System Architecture: Lead the design of cloud-native microservices for security control planes. AI-Driven Features: Integrate LLMs for Natural Language-to-Firewall Rule translation and automated incident summarization. Technical Leadership: Mentor junior engineers and set high standards through rigorous Design and Code Reviews. Cross-Functional Collaboration: Partner with Data Scientists and Cloud Networking teams to deliver production-grade AI features. Benefits & Why Join Us Regional Package: Comprehensive pension, private medical coverage, and life assurance. Wellbeing: Annual wellbeing stipend and generous holiday allowance. Growth Culture: We value unique career paths and prioritize candidates who are passionate about the intersection of AI and Security.

Position: Mechatronics & Big Data Scientist Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Machine Learning: Select features, build, and optimize classifiers using advanced machine learning techniques. Data Mining: Perform data mining using state-of-the-art methods to extract valuable insights from large datasets. Data Enhancement: Extend the company s datasets with third-party data sources when necessary to improve model accuracy and relevance. Data Collection & Processing: Improve data collection procedures to include all necessary information for building analytic systems. Data Cleansing & Integrity: Process, cleanse, and verify the integrity of data used for analysis to ensure reliable results. Ad-hoc Analysis: Perform ad-hoc analysis as needed, presenting the results in a clear, actionable manner. Anomaly Detection: Design and implement automated anomaly detection systems, tracking their performance over time to ensure accuracy. Behavioral Competencies Data-Driven: Strong inclination toward working with data and applying analytical thinking to solve complex problems. Detail-Oriented: Meticulous in data analysis and system development to ensure quality and precision in results. Skills and Expertise Machine Learning Algorithms Strong understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Data Science Tools Experience with common data science toolkits like R, Weka, NumPy, and MatLab. Proficiency in at least one (preferably NumPy or R) is highly desirable. Data Visualization Skilled in data visualization tools such as D3.js, GGplot, or similar. Database Management Experience with query languages such as SQL, Hive, Pig, NiFi, or others depending on the company s stack. Familiarity with NoSQL databases like InfluxDB, MongoDB, Cassandra, HBase. Statistical Analysis Strong applied statistics skills, including distributions, statistical testing, and regression analysis. Programming Skills Good scripting and programming skills in languages like PHP, Slim, SQL, and Laravel. Big Data Technologies Knowledge of Hadoop, HDFS, NiFi, and other big data platforms and technologies. Qualifications Essential: MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field. Experience: Minimum 2 years of hands-on experience in developing SDKs and working with Big Data platforms. Proven track record in machine learning, data mining, and data science projects. Qualification : MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field

Data Scientist I Job Type: Full-Time Category: Data Science Location: Bangalore About Bright Money Bright is a mission-driven consumer fintech company helping Americans get out of debt and build stronger financial futures powered by data science and machine learning. Our mobile platform provides personalized tools for credit building, debt paydown, budgeting, and loan refinancing. With 300,000+ users, 100,000+ reviews, and support from top-tier investors like Sequoia, Falcon Edge, and Hummingbird, Bright is one of the fastest-growing fintech startups in the U.S. We ve raised $90M+ in equity and debt funding to date. We're proud to be building a global-first, data-driven consumer tech company from India, for the world. About the Role As a Data Scientist I, you will be part of a high-impact team using data and machine learning to power Bright s core financial products. You ll work on problems that directly improve users financial outcomes modeling behavior, predicting intent, and enabling smarter, automated experiences. This is a hands-on role for someone with strong fundamentals in ML, statistics, and programming, and a desire to turn data into real-world product impact. Key Responsibilities Design and build predictive models using core concepts of machine learning, statistics, and probability. Analyze large-scale user and transactional data to extract insights and inform strategy. Collaborate cross-functionally with product managers, engineers, and business stakeholders to define and solve problems. Deploy ML models into production environments, ensuring scalability, stability, and performance. Tune, evaluate, and interpret model results to maximize business value and user outcomes. Document methodologies and workflows for reproducibility and team collaboration. Stay current with AI/ML advancements and experiment with new techniques as appropriate. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Strong grasp of ML and statistical concepts (e.g., regression, classification, hypothesis testing, probability distributions). Proficiency in Python or R, and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with model deployment tools and frameworks (e.g., Docker, Flask/FastAPI, MLflow). Understanding of how to implement and monitor models in a real-world production environment. Awareness of modern AI techniques including transformers, LLMs, and generative AI. Strong problem-solving skills, curiosity, and ability to communicate complex ideas clearly. Exposure to cloud platforms like AWS, GCP, or Azure is a plus. Bonus Points For Experience with deep learning and advanced neural network architectures. Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining pipelines). Personal projects, open-source contributions, or research publications in AI/ML. What You ll Work On Model user behavior and financial patterns to power intelligent product features. Analyze complex transaction datasets to surface actionable insights. Build and deploy ML systems that personalize savings and debt management strategies. Apply deep learning, reinforcement learning, and LLMs to real-world fintech use cases. Collaborate with engineering and product teams to launch data-powered experiences in the Bright app. Experiment with cutting-edge AI technologies to innovate in consumer finance. At Bright, you ll go beyond theory you ll use data to change lives. This is your chance to build meaningful, scalable machine learning systems that empower users to take control of their financial future. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field

Job Title: AI/ML Architect Location: Bangalore, India Experience: 15 17 Years Employment Type: Full-Time Overview: We are seeking an experienced AI/ML Architect with 15 17 years of overall experience, including 2 3 years in project management. This strategic role requires deep expertise in AI/ML technologies, enterprise AI architecture, and hands-on delivery of cutting-edge solutions such as autonomous AI agents and generative AI platforms. The architect will lead the design, proposal, and execution of AI-driven solutions across diverse client engagements. Key Responsibilities: Solution Architecture & Design: Design and evolve robust AI/ML architectures incorporating autonomous agents, scalable business intelligence, and generative AI. Collaborate with cross-functional teams (data scientists, ML engineers, UX designers, and business strategists) to convert business needs into technical designs. Evaluate emerging technologies, frameworks, and trends to guide architectural roadmaps and innovation strategies. RFP Response & Proposal Development: Lead the technical response for RFPs, creating solution frameworks that align with client objectives and industry standards. Draft detailed technical proposals, use cases, and presentations to demonstrate the business value and ROI of AI solutions. Partner with sales and business teams to align proposals with market needs and positioning. Project Delivery & Technical Leadership: Oversee full AI/ML solution lifecycles from architecture design to deployment and monitoring ensuring compliance, quality, and performance. Provide hands-on guidance and mentorship to technical teams, promoting best practices in data science, ML model development, and deployment pipelines. Manage project schedules, resource planning, and risk mitigation for successful delivery outcomes. Stakeholder & Cross-Functional Collaboration: Act as the primary technical liaison across teams, ensuring stakeholder alignment on vision, progress, and technical challenges. Conduct technical workshops, reviews, and solution demos to showcase innovation and architectural decisions. Innovation & Continuous Improvement: Monitor industry trends, publications, and competitor offerings to integrate innovative features into AI/ML initiatives. Continuously refine and optimize existing platforms, ensuring scalability, performance, and user-centricity. Required Skills & Qualifications: 15 17 years of overall experience with 2 3 years in a leadership/project management role. Strong track record in AI/ML architecture, especially with autonomous agent systems, enterprise AI, and generative AI technologies. Proficient in modern AI/ML frameworks (TensorFlow, PyTorch, etc.), data pipelines, and cloud platforms (AWS, Azure, GCP). Experience designing and implementing end-to-end AI solutions in complex, data-driven environments. Demonstrated success in crafting technical proposals and responding to RFPs. In-depth knowledge of NLP, deep learning, traditional ML, and AI product integration. Effective project and stakeholder management skills; able to balance priorities across multiple projects. Excellent communication and presentation skills, with the ability to articulate AI value to technical and non-technical stakeholders.

Senior Data Scientist Location: Bengaluru Department: Global Strategic Services Data Science EMEA Employment Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS pioneer leveraging AI and data to solve complex business challenges in industries such as Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy. Our key products include Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion platform. We are recognized as a 2022 Technology Innovation Leader and 2024 Microsoft Energy and Resources Partner of the Year. Our Values Impact: Driving meaningful outcomes. Ownership: Taking responsibility beyond comfort zones with inclusivity. Relentless: Innovating with determination and resilience. About the Role As a Senior Data Scientist, you will work in cross-functional teams delivering AI- and physics-based solutions that optimize operations and support decision-making in heavy-asset industries like Oil & Gas, Power & Utilities, Renewables, and Manufacturing. You will engage with customers, lead solution scoping, design, deployment, and operationalization using Cognite s data platform. What You ll Do Lead design and development of machine learning and physics-based models for industrial problems. Collaborate with data scientists, engineers, solution architects, and project managers to deliver scalable solutions. Conduct workshops and advise customers on solution approaches and pitfalls. Build and deploy dashboards and visualizations for data-driven insights. Mentor junior team members and promote best software practices including testing and documentation. Contribute to production-grade deployments and cloud-native solutions. Stay updated with emerging GenAI technologies and integrate them into customer use cases. Who You Are 5+ years as a Data Scientist, preferably in Oil & Gas, Maintenance, or Manufacturing domains. 1+ years as a domain expert on projects involving customer engagement. Proficient in Python, ML libraries (scikit-learn, Keras), and data visualization tools (PowerBI, Grafana, Tableau, Plotly Dash, Streamlit). Advocate for software best practices: automated testing, documentation, and version control (Git). Experienced contributor to large software projects. Pragmatic with the ability to balance short- and long-term priorities. Effective communicator with strong stakeholder management skills. Experienced mentor and quality assurer for junior colleagues. Cloud experience with serverless functions and production deployments. Proven success working across diverse industries. Eager to explore and apply GenAI developments in practical solutions. Work in a diverse global community with 70+ nationalities and a strong DEI focus. Modern hybrid work environment based in Bengaluru (Rathi Legacy, Hoodi). Flat organizational structure with direct access to decision-makers. Opportunity to collaborate on ambitious projects across industries. Access to ongoing learning and a vibrant internal community (HUB). Make an Impact Cognite is driving the future of industrial data innovation. Join us to help industries become more efficient, sustainable, and digitally transformed. We welcome candidates from all backgrounds apply today to be part of our journey!

Job Title: Consultant - UX Designer (Intern) Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Join Glance, where creativity meets cutting-edge AI technology! Glance is revolutionizing mobile user experiences by combining AI and user-centered UX design directly on the lock screen. As a UX Intern, you ll work with a dynamic team creating context-driven, interactive content that delights millions of users worldwide. Position Overview As a UX Intern at Glance, you ll gain hands-on experience in UX design fundamentals while exploring emerging AI technologies and prompt engineering. This internship is ideal for individuals passionate about designing seamless, intuitive user experiences and eager to build skills in AI-driven UX and prompt engineering. Key Responsibilities Assist in UX Design: Create wireframes, layouts, and visual design elements that enhance usability and engagement on Glance s lock screen platform. Collaborate on AI-Driven UX Projects: Partner with designers, engineers, and data scientists to integrate AI for personalized and intuitive user interactions. Learn Prompt Engineering: Develop expertise in crafting prompts that help AI understand and respond effectively to user behavior, improving the overall UX. What You ll Gain Hands-On UX Design Experience: Build a strong foundation in UX principles and user-centered design workflows. Exposure to Advanced AI Technologies: Learn how AI can be harnessed to create innovative, personalized user experiences. Prompt Engineering Skills: Acquire in-demand skills in prompt engineering within AI-powered platforms. Mentorship and Professional Growth: Work alongside experienced professionals in a collaborative, supportive environment focused on your development. Qualifications Currently pursuing a degree in Design, Human-Computer Interaction (HCI), Psychology, Computer Science, or a related field. Strong interest in UX design fundamentals, AI technology, and emerging digital trends. Familiarity with UX tools such as Figma, Sketch, or similar is a plus. Creative mindset with curiosity and willingness to experiment with new ideas. Contract Duration: 6 Months Kickstart your UX career with Glance and be part of a future-forward team shaping next-gen mobile experiences. Apply now to join us in Bangalore! Qualification : Currently pursuing a degree in Design, Human-Computer Interaction (HCI), Psychology, Computer Science, or a related field.