Job Title: Applied Scientist Company: Amazon.com Job Category: Machine Learning Roles & Responsibilities: Help millions of authors around the world get their books published, discovered, and supported. As one of the first scientists on our new team in Bengaluru, you'll help turn ideas into models authors rely on every day, building agentic solutions with large language models (LLMs), multimodal models, and fine\-tuning. Key job responsibilities * Build the multi\-agent system behind KDP's author support assistant: orchestration across specialized agents and tools, personalization, and the evaluation that drives its continuous improvement. * Build multimodal models of book attributes, and use them for similar\-book search across languages, catalog quality, and category and keyword recommendations. * Post\-train open models on KDP expertise (for example with supervised fine\-tuning and reinforcement learning), and deploy them where they beat general\-purpose models on accuracy, cost, or speed. * Work closely with our scientists in the US and with engineering partners to take your work to production, design rigorous offline and online experiments, and write clear readouts with recommendations. Kindle Direct Publishing (KDP) lets anyone publish a book. We are the science organization for Amazon's Books business, now building our science teams in Bengaluru. Our team works in three connected areas: a support assistant that answers authors' questions from their own account data, in every language KDP supports; multimodal models that use book attributes to keep the catalog trustworthy and help authors reach the right readers; and fine\-tuned models that power the assistant and catalog models with KDP expertise. We serve authors, from first\-time writers to full\-time publishers. You will work closely with engineering, product, and policy partners. We value safety before speed and shared foundations over one\-off fixes. Scientists here get dedicated time for innovation, which can lead to patents and conference papers.BASIC QUALIFICATIONS ------------------------ Work Location: Karnataka, India Availability: Full time
Job Title: Staff AI/ML Engineer Company: Sandisk Job Category: Machine Learning Roles & Responsibilities: Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry\-leading portfolio of products that are recognized globally for innovation, performance and quality. Description We are seeking a Staff AI/ML Engineer in Data and AI team to drive the design, development, and operationalization of machine learning and GenAI solutions across Sandisk's enterprise. In this role, you will own end\-to\-end AI/ML projects, from problem framing and data strategy through model deployment and monitoring. You will partner directly with business stakeholders to translate complex requirements into scalable, production\-grade solutions and mentor junior engineers on the team. Key Responsibilities * Lead the end\-to\-end design, development, and deployment of machine learning models and GenAI solutions for manufacturing intelligence, yield optimization, supply chain analytics, and enterprise data platforms. * Architect and implement data pipelines, feature stores, and model serving infrastructure on Lakehouse and cloud\-native architectures (Databricks, Azure). * Develop prompt engineering strategies and feedback loops for LLM optimization; capture and normalize LLM interactions into reusable Knowledge Artifacts. * Implement Retrieval\-Augmented Generation (RAG) pipelines, including document parsing, chunking, vectorization, and semantic search using embeddings and vector databases. Support domain\-specific ontologies, taxonomies, governance and versioning. * Architect Agentic Harness and Design workflows using industry\-standard frameworks for autonomous task orchestration and multi\-step reasoning, with safe and controlled execution via constraints, policies, and fallback paths. * Collaborate with cross\-functional teams to define KPIs, success metrics, and business impact measurements for AI/ML initiatives. * Mentor intermediate and junior engineers; conduct code reviews and establish best practices for ML engineering. * Present technical findings and strategic recommendations to senior leadership, distilling complex results into actionable business insights. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior Staff Engineer - Design Verification Power Management Company: SiFive Job Category: Machine Learning Roles & Responsibilities: As the pioneers who introduced RISC\-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC\-V to the highest performance and most data\-intensive applications in the world. SiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. With SiFive, the future of RISC\-V has no limits.* Our constant innovation and ongoing success is down to our amazing teams of incredibly talented people, who collaborate and support each other to come up with truly groundbreaking ideas and solutions. Solutions that will have a huge impact on people's lives; making the world a better place, one processor at a time. Job Description: Key Responsibilities: * Lead the verification and optimization of our diverse RISC\-V Low Power Profiles, including UPF. * Drive and achieve quality closure targets at both the CPU and block levels. * Collaborate closely with microarchitecture and RTL design teams to optimize complex Power flows. * Provide technical leadership and mentorship to junior team members to foster team growth and enrichment. * Actively participate in the test planning and execution phases for new architecture and design features. * 10\+ Years of experience in low power or power aware or power management * Experience with hands on UVM Test Bench development is must * Experience in core uArch is highly desirable. * Experience in leading effort and driving multiple projects * Experience with power simulation on vcs and upf. * Experience with script writing in Python, Perl or Tcl. * Experience with power impact at architecture, logic design, and circuit levels. * Excellent problem solving skill and ability to work in a dynamic and diverse environment. Work Location: Karnataka, India Availability: Full time
Job Title: Data Scientist Company: FyerX Job Category: Machine Learning Roles & Responsibilities: The role primarily focuses on classical machine learning, data analysis, and business\-oriented problem\-solving rather than Generative AI or LLM\-based solutions. Key Responsibilities: * Perform exploratory data analysis (EDA) and statistical analysis on structured and relational datasets. * Develop, implement, and evaluate classical machine learning models. * Use Python libraries to process, analyse, and interpret data. * Write SQL queries to extract, manipulate, and analyse business data. * Apply statistical techniques, hypothesis testing, and analytical methods to solve business problems. * Translate business requirements into analytical solutions and actionable insights. * Ensure data quality, governance, and compliance standards. * Present findings through effective data storytelling and visualisation. Work Location: Karnataka, India Availability: Full time
Job Title: Data Science Consultant Company: Wells Fargo Job Category: Machine Learning Roles & Responsibilities: About this role: In this role, you will: * Participate in low\- to moderately complex initiatives by utilizing data\-driven, advanced analytical, and statistical techniques to identify trends, diagnose problems, and build actionable insights and recommendations. * Review and analyze business, operational, and technical assignments or challenges that require research, evaluation, and selection of alternatives to convert data into meaningful insights and recommendations. * Exercise independent judgment to guide medium\-risk business hypothesis generation. * Present recommendations and insights for resolving low\- to moderately complex business needs and problems; exercise independent judgment while developing expertise in analytical capabilities. * Collaborate and consult with functional colleagues, internal partners, and stakeholders to drive recommendations and strategies based on data\-driven analytical insights, trends, and patterns. * Conduct low\- to moderately complex predictive analytics to build actionable insights and recommendations. * Design and apply algorithms to mine large sets of structured and unstructured data from various sources. * Ensure data completeness, accuracy, and consistency through data cleaning and validation. * Interpret and analyze data using advanced analytical modeling methods and programming techniques to identify patterns that lead to recommendations, solve business problems, and influence business decisions and strategies. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance\-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements. Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Work Location: Karnataka, India Availability: Full time
Job Title: Python ML Engineer Company: Mobileum Job Category: Machine Learning Roles & Responsibilities: Role: Python ML Engineer Responsibility: \- * Building and managing end\-to\-end ML workflows, including data preparation, feature engineering, training, evaluation, deployment, and monitoring. * Designing and maintaining robust ETL/ELT pipelines in Python for telecom and security data. * Implementing distributed data processing using Spark/PySpark. * Developing ingestion, normalization, enrichment, and data quality validation frameworks. * Working with Hadoop ecosystems (HDFS, YARN, Hive). * Deploying and operating batch and near real\-time inference pipelines. * Hands\-on experience with ClickHouse schema design, query optimization, and performance tuning. * Strong debugging, incident management, and reliability engineering skills. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior Applied AI Engineer - AiDP Company: Apple Job Category: Machine Learning Roles & Responsibilities: AI \& Data Platforms (AiDP) is IS\&T's engine for AI\-powered innovation. The team brings together data, application development, and machine learning \- including generative AI \- along with data services and customer success functions, to help IS\&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple. As a Software Engineer, you will be responsible for building Apple’s AI Data and ML platforms. You will either work on building custom solutions ground up or take open source products and customize the same for Apple’s need. We're looking for an individual who loves to take challenges, tackles problems with imaginative solutions, works well in collaborative teams, and can produce high\-quality software under tight deadlines and constraints. This role involves building innovative tools and frameworks that can extend across different platforms within AiDP.","responsibilities":"Develop AI applications, transitioning from rapid prototypes to production\-grade agentic workflows. Take full accountability for shipping working software, managing live user adoption, monitoring system performance, and troubleshooting failures in production Manage project priorities, technical strategy, deadlines, and deliverables across complex, matrixed, or distributed organizations Ability to implement secure agentic workflows incorporating MCP, tool\-calling, and OAuth\-based authentication. Work Location: Karnataka, India Availability: Full time
Job Title: Machine Learning Engineer - L3 Company: RZR Job Category: Machine Learning Roles & Responsibilities: Role Overview We are seeking a motivated and detail\-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand\-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions. Key Responsibilities * Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud. * Collaborate with senior data scientists and cross\-functional teams (product, engineering, and analytics) to integrate models into production workflows. * Analyze the impact of integrating new data sources and features into our models. * Build and maintain data pipelines to process and prepare large datasets for model training and evaluation. * Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities. * Document experiments, assumptions, and outcomes; maintain reproducibility RZR is an equal opportunity employer RZR is a place where everyone can grow. However you identify, and whatever background you bring with you, we invite you to apply if this role excites you. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Software Development Trainee-2 Company: WEX Inc. Job Category: Machine Learning Roles & Responsibilities: WEX is a global commerce platform that has been simplifying the way businesses operate for over 40 years. Our purpose is simple: to reduce administrative burdens, streamline payments, and manage mobility. With a team of over 7,200 professionals across 16 countries. You won't just be a bystander; you'll work on impactful projects and contribute to WEX’s mission. We provide mentorship, professional development, and weekly learning experiences to help you build confidence and leadership skills. High\-performing interns may even get the chance to lead their own initiatives. We offer remote, hybrid, and onsite options for flexibility, and our goal is to bring top interns back full\-time or offer them extended roles during the school year. About the Team/Role: Work Location: Karnataka, India Availability: Full time
Job Title: Senior Applied Scientist, International Machine Learning Company: Amazon Job Category: Machine Learning Roles & Responsibilities: We are developing state\-of\-the\-art machine learning solutions to accelerate the Amazon India growth story. Amazon India is an exciting place to be at for a machine learning practitioner. We have the eagerness of a fresh startup to absorb machine learning solutions, and the scale of a mature firm to help support their development at the same time. As part of the India Machine Learning team, you will get to work alongside brilliant minds motivated to solve real\-world machine learning problems that make a difference to millions of our customers. We encourage thought leadership and blue ocean thinking in ML. Key job responsibilities Design, develop, evaluate and deploy, innovative and highly scalable ML models Work closely with software engineering teams to drive real\-time model implementations Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large\-scale complex ML models in production Leading projects and mentoring other scientists, engineers in the use of ML techniques About The Team International Machine Learning Team is responsible for building novel ML solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom\-line and top\-line of India business. Learn more about our team from https://www.amazon.science/working\-at\-amazon/how\-rajeev\-rastogis\-machine\-learning\-team\-in\-india\-develops\-innovations\-for\-customers\-worldwide Work Location: Bengaluru, Karnataka, India Availability: Full time
