FEA Jobs in Bengaluru

Position: Product Manager Location: Bengaluru Department: Technology About the Role: As a Product Manager at Draup, you will play a critical role in driving the success of our platform from ideation and development to launch and continuous improvement. This role requires a unique blend of strategic thinking, technical understanding, and strong communication skills to align cross-functional teams and deliver value to our users. You will be responsible for building a customer-centric roadmap (6 18 months), defining clear product requirements, and ensuring successful execution of new features and enhancements. What You Will Do: Define and execute a product strategy that aligns with Draup s business goals and evolving market trends. Conduct thorough market and user research to uncover customer needs, industry movements, and competitive insights to inform product decisions. Collaborate with cross-functional teams (Engineering, Product Marketing, Customer Success) to turn user problems into well-defined product priorities and detailed specifications. Work closely with engineering teams to ensure timely and high-quality delivery of product features, managing sprints and development cycles. Champion a user-first approach, advocating for intuitive, high-quality design and superior user experiences. Lead testing and quality assurance processes to maintain product reliability and performance standards. Drive product launches, including the creation of marketing and sales enablement materials. Prioritize feature backlogs to maximize business and user value, while actively collecting and acting on feedback to iterate and improve. Who You Are: 2+ years of experience in a product management or related role. Bachelor s degree in Business, Engineering, Computer Science, or a related field; MBA or advanced degree is a plus. Proven success in launching new web products or significantly improving existing ones, with measurable impact on key metrics. Solid grasp of Agile product management practices, including user story writing, sprint planning, and roadmap development. Excellent collaboration skills; experience working in cross-functional teams. Strong customer focus putting user needs at the heart of every decision. Data-driven decision-maker with the ability to use analytics to inform product direction. Strong written and verbal communication skills. Bonus: Working knowledge of technologies like Python or React. What We Expect: Highly self-motivated and proactive; capable of working independently with minimal direction. Ownership mindset take full responsibility for feature development from concept to delivery. Able to thrive in a fast-paced, deadline-driven environment. Strong organizational skills able to prioritize effectively, manage multiple tasks, and meet tight deadlines. Comfortable leading discussions, building consensus, and driving outcomes across design, engineering, and leadership teams. Qualification : Bachelors degree in Business, Engineering, Computer Science, or a related field; MBA or advanced degree is a plus

Job Title: Mechanical Design Engineer Location: Bengaluru Experience Required: 2 to 4 years Minimum Qualification: Bachelor of Engineering (BE) Key Skills Mechanical Product Design 3D Modeling (NX or SolidWorks) Engineering Drawing & Documentation Prototyping & Testing FEA & Tolerance Stack-Up Analysis DFMEA & Risk Assessment Cross-functional Collaboration Supplier & Manufacturing Support Job Summary We are looking for a talented and detail-oriented Mechanical Design Engineer to support the development of innovative mechanical products from concept through to production. The ideal candidate will have 2 4 years of hands-on experience in mechanical design, a strong grasp of engineering principles, and a passion for problem-solving and continuous improvement. Key Responsibilities Support mechanical design efforts for new product development from concept to launch. Create detailed 3D models, engineering drawings, and Bills of Materials (BOMs) using NX or SolidWorks. Build and test prototypes to validate design concepts and performance. Collaborate closely with electrical, software, industrial design, and manufacturing teams. Evaluate material choices, manufacturing processes, and cost implications during the design phase. Perform tolerance stack-up analyses, finite element analysis (FEA), and other engineering calculations. Participate in and support design reviews, DFMEA sessions, and risk assessments. Liaise with suppliers and contract manufacturers to ensure design integrity through production. Maintain accurate documentation in line with engineering change control and regulatory requirements. Contribute to continuous improvement initiatives and intellectual property (IP) development. Qualification : Bachelor of Engineering (BE)

Job Title: ML Ops Engineer Location: Bangalore Department: Data Science Employee Type: Full-time Experience Required: 3 5 years Position Overview We are seeking an experienced and motivated ML Ops Engineer to join our Data Science team. In this role, you will be responsible for deploying, monitoring, and maintaining machine learning models in production environments. You will work closely with data scientists, engineers, and product teams to ensure models are scalable, reliable, and aligned with business objectives. This role is ideal for professionals who are passionate about building robust ML pipelines and bringing machine learning solutions into real-world applications at scale. Key Responsibilities Deploy and manage machine learning models in production environments, ensuring scalability, reliability, and performance. Build and maintain MLOps pipelines using platforms like Databricks and MLflow. Monitor model performance, accuracy, and health; implement alerting and diagnostics as needed. Develop and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Optimize data workflows and collaborate with engineering teams to improve model integration and performance. Design strategies for automated model retraining, deployment, and version control. Write clean, maintainable, and efficient code using Python, adhering to OOP principles and best practices. Write complex queries using SQL and work with NoSQL databases to support data pipelines and feature stores. Leverage Python libraries such as PySpark, Pandas, scikit-learn, SQLAlchemy, and Requests. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 3 5 years of experience in building, deploying, and monitoring machine learning solutions in production. Must-Have Skills Experience with Databricks and MLflow for model training and deployment. Proven expertise in machine learning model deployment and monitoring in live environments. Strong programming skills in Python, with solid understanding of data structures, algorithms, and OOP concepts. Experience developing RESTful APIs using Flask or Django. Proficient in SQL and NoSQL database operations. Hands-on knowledge of libraries such as Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Strong analytical, problem-solving, and debugging skills. Good-to-Have Skills Experience with Kafka streaming and batch processing. Familiarity with CI/CD pipelines and version control systems like Git. Understanding of Python multiprocessing, worker/queue systems, and asynchronous/event-driven programming. This is a unique opportunity to work at the intersection of machine learning and DevOps. You'll play a critical role in operationalizing AI models and making them a core part of our product offerings. If you enjoy building scalable systems and solving real-world ML engineering challenges, we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Job Title: Design Engineer Location: Bengaluru, Karnataka No. of Positions: 1 2 Industry: Home Automation & AV, Building Automation Joining: Immediate About EBSL Automat Pvt. Ltd. EBSL Automat is a leading provider of innovative home automation solutions, dedicated to enhancing everyday living through intelligent technologies. With a strong presence in the smart living and building automation industry, we offer an exciting and collaborative environment for engineering professionals to grow, innovate, and contribute to transformative projects. Position Overview We are looking for a Design Engineer with a passion for CAD modeling, automation, and system development. This role involves collaborating with engineering, drafting, and operations teams to develop accurate, efficient, and high-quality design solutions. If you're technically inclined, detail-oriented, and eager to contribute to cutting-edge smart automation systems, this opportunity is for you. Key Responsibilities Assist in the development and implementation of CAD modeling and drafting standards for consistent documentation and design. Collaborate with cross-functional teams to incorporate Design for Manufacturability (DFM) and Design for Assembly (DFA) into models and technical drawings. Continuously improve design automation processes to boost efficiency and accuracy. Support engineering operations with tools like spreadsheets, parts lists, BOM (Bill of Materials) generation, and calculation templates. Develop internal system procedures to maintain high-quality standards aligned with industry best practices. Document technical procedures, user manuals, and training materials. Provide technical training and support to team members when needed. Contribute to other engineering or development projects as assigned. Skills & Experience Must-Have: Bachelor's degree in Electrical Engineering or a related field. 1 4 years of relevant experience in industrial or design automation. Good verbal and written communication skills. Team player with the ability to work under tight deadlines. Strong attention to detail, creative problem-solving skills, and analytical thinking. Proficiency in CAD software and understanding of design principles. Experience with engineering tools, ERP systems, and MS Office Suite (Excel, Word, Outlook). Preferred/Good-to-Have: Experience in CAD automation or engineering application development (2+ years preferred). Ability to work as a full-stack developer (desktop, web, client platforms) is a plus. Passion for programming and self-driven learning. Ability to work in flexible shifts as required. Familiarity with home automation or building systems is advantageous. Who Can Apply Candidates with 1 4 years of relevant experience. Freshers with strong academic backgrounds and a passion for design & automation are also encouraged to apply. If you're looking to contribute to the future of intelligent living while advancing your engineering career, we invite you to be part of the EBSL Automat journey. Qualification : Bachelor's degree in Electrical Engineering or a related field

Position: Mechanical Design Engineer Location: Bengaluru Industry: Automation / Special Purpose Machinery (SPM) / Semiconductor (preferred) Qualifications: Bachelor s degree in Mechanical Engineering (BE) 3 to 5 years of relevant experience, preferably in machinery or automation sectors Technical Skills: Proficiency in 3D CAD software (mandatory), such as SolidWorks, Autodesk Inventor, or NX Strong expertise in selection and integration of OEM components: motors, couplings, bearings, linear motion guides, O-rings Knowledge of weldment processes, machining for structural design, and sheet metal fabrication for enclosures Ability to create detailed 3D models and GD&T drawings for manufacturing Experience in design calculations like LM guide movement, coupling torque, and O-ring sizing (a plus) Familiarity with semiconductor industry design activities is advantageous Working knowledge of pneumatic, vacuum, and cooling systems is beneficial Soft Skills: Excellent communication skills Willingness to work flexible hours to accommodate US time zone meetings Responsibilities: Develop and generate 3D models and detailed manufacturing drawings adhering to design standards Perform design calculations and validate engineering designs to ensure accuracy and feasibility Collaborate closely with cross-functional teams to select and integrate OEM components appropriately Participate in structural and sheet metal enclosure design and development Keep up-to-date with the latest trends and technologies, especially in semiconductor and automation domains Provide technical support on pneumatic, vacuum, and cooling systems as needed Perform additional related duties as assigned to support project and team objectives Qualification : Bachelors degree in mechanical engineering (BE)

Job Title: Mechanical System Engineer - Robotics Location: Bengaluru Role and Responsibilities System Design & Integration: Analyze customer production lines to break down requirements and design mechanical systems integrating the CyRo platform. Ensure mechanical designs meet customer-specific constraints such as space, payload, and environmental conditions. Develop systems including CyRo, feeding mechanisms, sensors, fixtures, and other mechanical components for tailored automation solutions. Perform tolerance analysis to validate dimensional and functional requirements. Collaborate closely with electrical, software, and systems engineering teams to ensure seamless subsystem integration. Design mounting systems, fixtures, and interface components to facilitate integration into customer facilities when required. Mechanical Optimization: Optimize system designs by integrating mechanisms and sensors to enhance performance, modularity, and scalability. Select and design mechanisms for part presentation, feeding, reorientation, and manipulation considering space and performance constraints. Develop automation cells with modularity and scalability for current and future applications. Continuously refine workflows to improve cycle times, reduce errors, and increase operational efficiency. Modelling: Create and integrate detailed mechanical designs, including CAD layouts and fixtures, supporting customer automation solutions. Validate designs through tolerance analysis and develop calibration fixtures for robotic systems. Work cross-functionally to ensure mechanical designs integrate effectively with instrumentation, software, and controls. Documentation: Produce comprehensive documentation such as design specifications, validation reports, and scalability guidelines to ensure reproducibility. Develop detailed installation guides, maintenance manuals, and troubleshooting documentation for customer use. Skills and Experience Proficient in CAD software such as SolidWorks, CATIA, or AutoCAD. Strong grasp of mechanical engineering principles, materials science, and manufacturing processes. Experience in robotics, automation, or mechatronics is highly preferred. Familiarity with relevant industry standards and safety regulations (ISO, ANSI, OSHA). Excellent analytical, problem-solving, communication, and teamwork skills. Understanding of manufacturing processes, assembly lines, and automation cell design. Prior experience designing and integrating automation systems in production or process lines. Required Qualifications Bachelor s or Master s degree in Mechanical Engineering, Mechatronics, or related fields. Minimum 3 years of experience in mechanical design and automation systems integration. Strong knowledge of manufacturing processes and mechanical systems integration. Skilled in CAD and simulation tools. Additional Preferred Qualifications Experience with robotic automation systems and integration into manufacturing workflows. Familiarity with designing feeding mechanisms, part presentation systems, and end-of-arm tooling (EOAT) for robotics. Exposure to Autonomous Mobile Robots (AMRs) and other robotic mobility solutions. Understanding of sensors and actuators commonly used in automation (vision systems, force-torque sensors, linear actuators). Experience with plant simulation tools such as Siemens Plant Simulation or FlexSim. Qualification : Bachelors or Masters degree in Mechanical Engineering, Mechatronics, or related fields.

Job Title: Product Manager Location: Bengaluru, Karnataka, India Department: Product Engineering Experience: 5 8 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and analytics firm trusted by Fortune 500 and Global 2000 companies to deliver impactful, data-driven decision-making. We create custom-built AI solutions through a powerful blend of human expertise and our proprietary platform, NucliOS. At MathCo, we empower our people known as Mathemagicians to innovate, take ownership, and drive transformation at scale. About the Role As a Product Manager at MathCo, you will be at the helm of a high-impact portfolio of custom-built, self-service products designed for some of the world s leading enterprises. These products span domains like performance monitoring, analytics enablement, and digital transformation some already delivering 3x 5x ROI within their first year. You'll lead cross-functional teams of engineers, data scientists, designers, and business analysts through the full product lifecycle from 0-to-1 ideation to production rollout. This is a rare opportunity to build highly customized solutions while contributing to the development of our proprietary platform that powers all of MathCo s AI-driven products. If you're someone who thrives at the intersection of business strategy and technology and has a knack for building solutions from the ground up this role is for you. Key Responsibilities Product Development & Lifecycle Ownership Drive the end-to-end product lifecycle from ideation to launch. Lead the development of self-service applications tailored to client needs, ensuring innovation, scalability, and usability. Collaborate closely with engineering, data science, design, and DevOps teams to deliver robust features and solutions. Stakeholder & Project Management Own client relationships and manage stakeholder expectations with clarity and accountability. Define and prioritize product roadmaps, sprint backlogs, and feature releases using Agile methodologies and tools like JIRA. Drive conversations with Fortune 500 clients to align business goals with product strategies. Research & UX Conduct market and user research to validate features and prioritize user-centric design. Partner with design teams to develop high-impact UI/UX prototypes that elevate the product experience. Technical Oversight Guide custom product development, including architecture, design, and deployment on cloud platforms like AWS, Azure, or GCP. Oversee data pipelines, warehousing, and transformation strategies for data-driven applications. Lead discussions on DevOps strategies and CI/CD best practices. Work with QA to ensure quality, testing, and production readiness of the product. Must-Have Skills & Experience 5 8 years of experience building and managing digital products. Proven ability to own the P&L and ROI of tech products, preferably in the enterprise or B2B domain. Hands-on familiarity with: Frontend technologies: HTML, CSS, React (or similar) Backend technologies: Python, REST APIs Cloud services: AWS / Azure / GCP Strong understanding of Agile development methodologies, project tracking (e.g., JIRA), and DevOps processes. Excellent problem-solving and cross-functional leadership skills. Clear and persuasive communication, with the ability to align technical and non-technical teams. Be part of a fast-scaling tech organization working on cutting-edge enterprise AI solutions. Shape the next generation of AI-enabled products with end-to-end ownership and autonomy. Collaborate with a diverse team of innovators, each empowered to leave a mark. Enjoy a culture that s flat, inclusive, and focused on learning and impact. Excited to build transformational products from scratch? Let s talk. Apply now to be a part of MathCo s product innovation journey.

Job Title: Senior Product Manager Location: Bangalore North, Karnataka, India Job Type: Full-Time Industry: Mobile Gaming / Entertainment About Us We are one of India s fastest-growing and most exciting mobile gaming companies. Founded in 2014, in partnership with Modern Times Group (MTG), our vision is to create simple, impactful casual game experiences at a massive scale. We have built a global network of chart-topping games supported by powerful tech and analytics infrastructure. Our product portfolio includes evergreen hits like Daily Themed Crossword, WordTrip, WordJam, WordWars, WordTrek, TileMatch, and Jigsaw. Position Summary PlaySimple Games is seeking an experienced Senior Product Manager to own and drive the entire product lifecycle for our games. This is a hands-on leadership role involving end-to-end ownership of the product roadmap, strategic planning, and cross-functional collaboration to ensure the continued success of our products. Key Responsibilities Full Product Lifecycle Management: Lead product vision, competitive analysis, requirements gathering, feature prioritization, roadmap planning, and partner alignment. Strategy & Collaboration: Develop and drive product strategy and specifications, working closely with game teams to meet product goals. Performance Metrics: Define KPIs and measure product success using qualitative insights and quantitative data to inform decisions. Customer Needs & Feedback: Deeply understand player needs and create continuous feedback loops with product and engineering teams for iterative improvement. Integration Recommendations: Collaborate with product and engineering leads to recommend optimal integration solutions tailored to game teams. Team Development: Train, mentor, and manage a team of Product Managers and Business Analysts, supporting their growth and development. Product Evangelism: Advocate for product value internally and externally, articulating how our products solve user challenges. Competitive Analysis: Analyze competitors and market trends to generate actionable insights that shape the product roadmap. Cross-Team Collaboration: Work closely with product, engineering, and design teams within Central Technology to drive innovation and foster a positive work culture. Requirements Experience: 6-8 years in product management, preferably with digital products, games, or mobile apps. Consumer Product Expertise: Background in web/mobile consumer products, user acquisition, and growth strategies is highly preferred. Product Management Skills: Proven ability to build successful products that meet customer needs and business objectives. Strategic Judgment: Strong decision-making skills with the ability to develop clear, measurable objectives aligned to business goals. Data-Driven: Experience applying lean, data-driven principles; familiarity with data analytics and SQL is a plus. Project Management: Exceptional organizational skills with experience presenting to executive leadership. Technical Proficiency: Skilled in creating wireframes, product specs, and documentation. Communication: Excellent written and verbal communication skills with high attention to detail. Self-Starter & Team Player: Proactive, driven, and collaborative with a passion for product excellence.

AI-ML Technologist Bangalore, India Location: Bangalore Experience: 3 to 10 Years Job Role: AI-ML Technologist Industry: IT Software / Artificial Intelligence & Machine Learning Job Summary: We are looking for a highly skilled AI-ML Technologist with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Computer Vision. The ideal candidate will have hands-on experience in developing intelligent solutions using Python and other programming languages and frameworks. Key Responsibilities: Develop and deploy AI/ML models for various applications including Natural Language Processing (NLP), Computer Vision, and Cognitive Computing Design and implement deep learning architectures such as RNN, LSTM, and Reinforcement Learning algorithms Process and analyze diverse data types including text, speech, images, videos, and real-time streams from IoT devices and sensors Collaborate on AI system architecture and design using UML and related tools Utilize AI/ML frameworks such as TensorFlow, PyTorch (Torch), and Caffe for model development and training Apply cognitive search techniques and build scalable AI-driven applications Required Skills: Strong programming skills in Python, with experience in other languages like Java, C/C++, or R Proven experience with AI/ML frameworks: TensorFlow, PyTorch, Caffe, or similar Deep understanding of Deep Learning, Recurrent Neural Networks (RNN/LSTM), and Reinforcement Learning Expertise in Natural Language Processing (NLP) and Computer Vision technologies Experience handling large-scale and multi-modal data from various sources such as text, speech, images, video, and IoT streams Solid foundation in Machine Learning, Cognitive Computing, and Artificial Intelligence principles Preferred Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field Experience with data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms for AI/ML deployment (AWS, Azure, GCP) Work on cutting-edge AI and ML technologies impacting real-world applications Collaborate with a team of experts in a fast-paced, innovation-driven environment Opportunities for continuous learning and career growth in AI/ML domain Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field

Competitive Technical Research Analyst Location: Bangalore, India Job Summary Rubrik is seeking a Competitive Technical Research Analyst to empower our sales teams with strategic competitive intelligence. You will be instrumental in maintaining internal collateral, developing battle cards, presentations, and delivering impactful sales training that highlights Rubrik s strengths against competitors. You will collaborate closely with sales, product marketing, and product management teams to provide up-to-date market insights and help Rubrik stay ahead in the data protection and cybersecurity space. Key Responsibilities Collaborate with Sales Enablement to develop sales tools such as cheat sheets, presentations, and training materials. Work alongside Field Enablement and Field Success teams to integrate competitive strategies into sales plays. Develop defensible, data-backed competitive analyses showcasing Rubrik s advantages over competitors. Provide quarterly competitive landscape reports through detailed data analysis and feedback. Deliver day-zero competitive intelligence support on new Rubrik product features and competitive feature sets. Produce in-depth documentation comparing Rubrik solutions with competing products for internal teams. Partner with Product Management and Marketing to create collateral supporting demand generation efforts. Required Qualifications 5+ years in a sales engineer, solution architect, or quota-carrying role within a field sales team. Experience with data protection solutions such as Cohesity DataProtect, Veeam Backup & Recovery, Dell EMC IDPA/DataProtect, Veritas NetBackup, or Commvault. Familiarity with protecting unstructured data from On-Prem NAS and Cloud Object Storage. Experience crafting technical presentations for sales and customer education. Solid understanding of cloud computing architectures and SaaS application protection focused on cyber resilience. Strong knowledge of customer pain points around data protection and cyber resilience. Excellent collaboration skills to drive projects across teams. Ability to analyze competitor products, strategies, and messaging effectively. Skill in translating technical features into compelling business value propositions. High energy and a speed of sales mindset to act with urgency and curiosity. Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , we help organizations build resilience against cyberattacks, insider threats, and operational disruptions. Our Security Cloud, powered by machine learning, protects data across enterprise, cloud, and SaaS applications ensuring data integrity, availability, and rapid recovery.

Machine Learning Engineer - Speech AI (ASR & TTS) Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a pioneering generative AI startup headquartered in Bengaluru, India. We specialize in leading transformative research and development in speech and language technologies. Focused on building state-of-the-art ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models, particularly for Indic languages, we aim to redefine human-computer interaction with cutting-edge, AI-driven solutions. Join us as we push the boundaries of Speech AI to create inclusive, scalable, and intelligent voice-based applications for diverse communities worldwide. Role Overview We are seeking an experienced Machine Learning Engineer specializing in Speech AI (ASR & TTS). The ideal candidate will work on deep learning-based ASR and TTS models, improving accuracy, efficiency, and multilingual capabilities while deploying them at scale. The role involves developing and optimizing speech recognition and synthesis models with a focus on low-resource languages, real-time inference, and scalability. If you have a passion for speech processing and deep learning, this is a great opportunity to make a significant impact in a rapidly growing field. Key Responsibilities ASR (Automatic Speech Recognition) Develop, train, and optimize speech-to-text models using state-of-the-art architectures like Wav2Vec, Whisper, Conformer, and DeepSpeech. Implement techniques for low-latency ASR inference, including beam search, language model integration, and real-time transcription. Improve speech recognition accuracy for low-resource languages, especially Indic languages, using transfer learning and data augmentation. Optimize ASR pipelines for noise robustness, speaker adaptation, and domain-specific transcription. TTS (Text-to-Speech) Develop and fine-tune neural TTS models such as Tacotron, FastSpeech, VITS, or WaveNet for high-quality, natural-sounding speech synthesis. Implement multilingual and expressive TTS models with prosody and emotion control. Optimize TTS inference for deployment on edge devices, mobile, and cloud platforms. Improve speech synthesis quality through voice cloning, neural vocoders (HiFi-GAN, WaveGlow), and prosody modeling. General Speech AI Responsibilities Benchmark and profile ASR/TTS models to improve latency, efficiency, and deployment performance. Deploy scalable speech AI APIs on AWS, Azure, or GCP for real-world applications. Optimize ASR & TTS models for edge and offline inference. Stay updated with the latest advancements in speech AI, neural vocoders, and real-time inference techniques. Must-Have Qualifications Experience: 2-3 years of experience in speech AI, deep learning, or machine learning, with a focus on ASR & TTS. Education: Bachelor s or Master s degree in Computer Science, AI/ML, Speech Processing, or a related field. ML Frameworks: Proficiency in PyTorch or TensorFlow for training and deploying ASR/TTS models. ASR Expertise: Experience with speech-to-text architectures like Whisper, Wav2Vec, Conformer, or DeepSpeech. TTS Expertise: Experience with speech synthesis models like Tacotron, FastSpeech, or VITS. Speech Signal Processing: Understanding of MFCCs, STFT, phonemes, prosody modeling, and feature extraction. Inference Optimization: Hands-on experience with TensorRT, ONNX, or quantization (INT8, FP16) for ASR/TTS. Cloud & Edge Deployment: Experience deploying speech models on AWS, GCP, or Azure. Preferred Qualifications Experience with speech diarization, speaker recognition, or language modeling for ASR. Familiarity with zero-shot TTS, voice cloning, and multilingual speech modeling. Understanding of CUDA optimization and low-bit quantization for ASR/TTS models. Contributions to open-source speech AI projects or a strong GitHub portfolio showcasing relevant work. Experience with real-time streaming ASR/TTS applications and low-latency inference. Innovative Impact: Work on AI-driven speech solutions that are changing how people interact with technology, especially in low-resource languages. Cutting-Edge Technology: Contribute to the development of state-of-the-art speech AI models in a rapidly advancing field. Collaborative Environment: Work with a team of experts in AI, machine learning, and speech processing, in a startup culture. Growth Opportunities: Sarvam.ai offers exciting career growth in a fast-paced environment with opportunities for personal and professional development. Interested candidates are invited to submit their resume, cover letter, and any relevant project portfolios or GitHub links showcasing their experience in ASR, TTS, or Speech AI. Strong AI-related projects, whether in industry, research, or personal work, will be highly valued. Qualification : Bachelors or Masters degree in Computer Science, AI/ML, Speech Processing, or a related field.

Machine Learning Engineer Full-Time - Bengaluru, India - Data Science / Artificial Intelligence / Engineering Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products. As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics. A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities. Key Responsibilities: Design, develop, and deploy machine learning models and pipelines for diverse applications including classification, regression, clustering, recommendation, and time-series forecasting. Preprocess and analyze large datasets to extract meaningful features and actionable insights. Collaborate effectively with cross-functional teams to identify strategic ML opportunities and define clear success metrics. Optimize models for maximum performance, scalability, and accuracy in production environments. Build robust APIs or efficient microservices to integrate ML models into applications using tools like Flask or FastAPI. Continuously monitor and retrain models based on performance metrics and potential data drift. Stay updated with the latest ML research and technologies and apply them to enhance product capabilities. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. 2+ years of proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and key ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Practical experience working with both SQL and NoSQL databases. Solid knowledge of essential data preprocessing, effective feature engineering, and robust model evaluation techniques. Familiarity with standard software engineering practices, including version control (Git), thorough code reviews, and efficient CI/CD pipelines. Preferred Qualifications: Prior experience with deep learning, natural language processing (NLP), or computer vision. Familiarity with major cloud services like AWS, GCP, or Azure (especially SageMaker, Vertex AI, etc.). Understanding of modern MLOps tools and practices (e.g., MLflow, Kubeflow, DVC). Practical experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of big data tools (e.g., Spark, Hadoop) is considered a significant plus. What We Offer: Competitive salary and performance-based incentives to reward your contributions. Comprehensive health insurance and valuable wellness benefits to support your well-being. Dedicated learning and development programs for continuous professional growth. Exciting opportunities to work on impactful, real-world AI/ML projects with significant scale. A collaborative, inclusive, and innovative work culture that fosters teamwork and creativity. Flexible working hours and a hybrid work model to promote a healthy work-life balance.

Senior Lead Engineer Structural Analysis (Hybrid) Location: Bangalore, Karnataka, India Job Type: Full-time Company: Collins Aerospace (Raytheon Technologies) Experience: 5 8 years Job Overview We re looking for a Senior Lead Engineer (Stress) to join our Advanced Structures business unit. This role leads structural analysis for New Product Introduction, redesign, and technology programs. Support includes a wide range of aerospace components including ETRAS systems. Responsibilities Lead stress analysis using FEA tools (Ansys) and classical hand calculations. Prepare structural analysis documentation, stress reports, and certification data. Collaborate with design, manufacturing, and quality teams. Investigate failures and provide technical resolutions. Contribute to process improvements, automation, and tool development. Ensure on-time and quality delivery of engineering work products. Basic Qualifications Bachelor s/Master s in Mechanical or Aerospace Engineering. 5 8 years of structural analysis experience using Ansys Workbench. Strong background in fatigue, stress, and vibration analysis. Skilled in classical calculations and report writing. Preferred Qualifications Experience in hydraulic/electro-mechanical component analysis. Proficiency with Mathcad, Python, or Excel VBA. Familiarity with aerospace material properties and treatment processes. Benefits Transportation & meal vouchers Group life, health, and personal accident insurance 18 days vacation + 12 days contingency leave National Pension Scheme and car lease options Employee scholar program Equal Opportunity Collins Aerospace is an equal opportunity employer and values diversity. All qualified applicants will receive consideration without regard to race, gender, disability, or veteran status. Apply Now Be part of our aerospace revolution. Apply today and help us redefine flight for the future.

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.

Job Description: Bachelor s degree in Mathematics, Engineering, preferably in Mechanical or a related field. Strong programming skills in any programming languages such as Python or Java or C++. Solid understanding of analytical geometry and computational geometry. Basic knowledge of CAE tools ANSA is a must. Strong analytical and problem-solving skills. Background in programming, analytical geometry, and exposure to pre-processors, particularly ANSA, is an advantage. You will receive comprehensive on-job training on python, ANSA, a leading CAE pre-processor, and ANSA scripting Sessions and exposure to commonly used ANSA API s. Preferred Skills Ability to write programs to solve mathematical or logical problems. with ANSA knowledge. Experience: 0 to 3 years Location: Bangalore Educational Qualification: BE / ME /B.Tech / M.Tech Number of Positions: 3 Qualification : BE / ME /B.Tech / M.Tech

Job Description: Experience in Low & High voltage w/h Creation of 3D CAD models for Electrical Routing, Schematic, Sheet metal or plastic components, PDM & PLM exposure. Experience with Automotive product development. Good in NX wiring harness, Electrical Routing & Sheetmetal & Part modeling module. Educational Qualification: BE / ME / B.Tech /M.Tech Number of Positions: 2 Qualification : BE / ME / B.Tech /M.Tech

Data Scientist - Global Sugar and Ethanol Production Company Description: Louis Dreyfus Company is a leading merchant and processor of agricultural goods, active across the entire value chain from farm to fork. We operate a broad range of business lines, leveraging our global reach and extensive asset network to serve customers and consumers worldwide. As a matrix organization spanning six geographical regions and ten platforms, we are present in over 100 countries and employ approximately 18,000 people globally. Job Description: We are seeking an experienced Data Scientist to join our team, focusing on managing and analyzing global Sugar and Ethanol production data. This role involves integrating large datasets, applying statistical estimation methods, and developing interactive dashboards to support data-driven decision-making. You will work closely with cross-functional teams to generate insights that enhance business strategies and identify risks in production trends. Main Responsibilities: Manage and estimate global Sugar and Ethanol production and associated risks. Integrate large datasets from various sources and perform feature engineering to improve data quality and usability. Apply statistical methods and estimation techniques to analyze production trends and assess risks. Develop and maintain interactive dashboards to visualize key metrics and insights. Present findings and recommendations to stakeholders through detailed reports and presentations. Collaborate with cross-functional teams to ensure data-driven decision-making across the organization. Experience: Minimum of 3 years of experience in data science, preferably within the commodities sector. Advanced proficiency in Python programming, with expertise in libraries such as Pandas, NumPy, and Scikit-learn. Strong understanding of data integration and feature engineering techniques. Experience in statistical analysis and modeling. Proficiency in data visualization tools such as Dash. Excellent communication and presentation skills. Ability to work independently and as part of a team. Qualifications: Master s degree in economics, applied statistics, or a related field. A Ph.D. is a plus. Fluency in English, both oral and written. Experience working in a commodities-related field is preferred. Qualification : Masters degree in economics, applied statistics, or a related field. A Ph.D. is a plus.

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.

Job Title: Senior Product Manager, Developer Experience, UI Location: Bengaluru (Hybrid) About Couchbase: As industries race to embrace AI, traditional database solutions fall short of rising demands for versatility, performance, and affordability. Couchbase is leading the way with Capella, the developer data platform for critical applications in our AI world. By uniting transactional, analytical, mobile, and AI workloads into a seamless, fully managed solution, Couchbase empowers developers and enterprises to build and scale applications with unmatched flexibility, performance, and cost-efficiency from cloud to edge. Trusted by over 30% of the Fortune 100, Couchbase is unlocking innovation, accelerating AI transformation, and redefining customer experiences. Come join our mission! Position Overview: We are seeking a strategic Senior Product Manager, Developer Experience, UI responsible for creating data-driven insights and optimizing the user journey, with a focus on seamless onboarding and an engaging product experience. This role emphasizes delivering exceptional user experiences and improving developer engagement through intuitive UI for Couchbase s managed cloud offering. Key Responsibilities: UI/UX Requirements: Define UI requirements and partner closely with UX/UI designers, frontend engineers, and feature Product Managers to ensure developer journeys are intuitive and efficient. Define KPIs for developer experience and UI effectiveness. Product Roadmap Contribution: Shape the developer experience roadmap by making data-driven recommendations, focusing on optimizing onboarding flows and reducing user friction. Contribute to the product experience vision, aligning UI goals with broader product objectives and business priorities. Data-Driven Insights & UI Analytics: Develop and manage Pendo dashboards to track KPIs, providing regular reporting to key stakeholders. Leverage insights to monitor and analyze developer UI interactions, uncover user behavior patterns, pinpoint friction points, and identify opportunities for improvement. Developer-Centric Feature Design: Ensure new features are presented in an accessible way for both new and experienced developers. Collaborate with feature Product Managers and design teams to define workflows for maximizing usability. User Research & Competitive Analysis: Conduct user research, analyze developer needs, and stay informed about competitor product experiences to ensure our platform stands out for ease of use. Developer Advocacy & Engagement: Ensure the platform delivers value that keeps developers engaged, delighted, and motivated to advocate for Couchbase. Qualifications: 5+ years of experience in product management or equivalent frontend engineering and design experience, particularly for developer-centric Enterprise SaaS technology products. Background as a frontend developer for SaaS or cloud-based solutions is highly desirable. Proficiency in using UI analytics tools (e.g., Pendo, Mixpanel) to gather insights, monitor engagement, and guide product decisions. Good understanding of distributed database platforms and experience designing experiences for complex systems. Solid UI/UX design understanding with the ability to collaborate effectively with designers, engineers, and cross-functional teams. Proficiency in frontend development concepts (e.g., React, Vue) and familiarity with design tools (e.g., Figma, Sketch). Excellent verbal and written communication skills with an ability to convey insights and ideas clearly. Bonus Qualifications: Familiarity with experiences in emerging AI platforms, no-code/low-code platforms. Familiarity with product-led growth (PLG) principles and experience implementing PLG strategies to drive user acquisition and retention through improved product experience. Modern customer experiences need a flexible cloud database platform that can power applications spanning from cloud to edge and everything in between. Couchbase s mission is to simplify how developers and architects develop, deploy, and consume modern applications. With Capella, our flexible, affordable cloud platform, we empower organizations to quickly build and deliver premium customer experiences with unmatched price-performance. More than 30% of the Fortune 100 trust Couchbase to power their modern applications. Benefits at Couchbase: Generous Time Off Program: Flexibility to care for yourself and your family. Wellness Benefits: Comprehensive medical plans, dental, vision, life insurance, and employee assistance programs. Financial Planning: RSU equity program, ESPP, retirement planning, and business travel insurance. Career Growth: A Be valued, Create value approach to your career development. Fun Perks: Ergonomic office setup, food & snacks for in-office employees, and more!

When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys. Innovate With Ansys, Power Your Career. Summary / Role Purpose The Senior Application Engineer is responsible for leveraging their experience, subject matter expertise, and customer-relationship skills to assist in growing our software business by proactively helping customers deploy ANSYS technology to deliver on their key business initiatives. This role is focused on the Automotive Industry for applications like crashworthiness, occupant, and pedestrian safety. Key Duties and Responsibilities Collaborate with Sales to create solutions to complex customer problems using LS-DYNA and other Ansys structural simulation software. Support Automotive customers in developing methods for crash and safety-related simulation. Present ANSYS value proposition to executive-level audiences. Lead high-profile business development projects and analysis of complex technical problems. Provide best practices to help customers derive more value from ANSYS solutions. Participate in internal corporate initiatives for product enhancement, consulting, and training. Minimum Education / Certification Requirements and Experience BS in engineering or a related technical discipline. Minimum 5 years of experience in automotive crash-related simulation. Knowledge of LS-DYNA and other Ansys tools. Understanding of Euro-NCAP, G-NCAP, and Bharat N-CAP simulation implementations. Experience in durability, full vehicle crash simulation, dummy positioning, airbag modeling. Strong fundamentals in Structural Mechanics, FEA, Non-Linear Materials, and Dynamics. Strong project management skills, ability to work with cross-functional teams. Preferred Qualifications and Skills MS or PhD in Engineering is preferred. Customer service mindset with a passion for excellence. Ability to travel up to 25%. At Ansys, We Operate as ONE Ansys We fuel new ideas, build relationships, and help each other realize our greatest potential. Our Commitments: Amaze with innovative products and solutions. Make our customers incredibly successful. Act with integrity. Ensure employees thrive and shareholders prosper. Our Values: Adaptability: Be open, welcome what s next. Courage: Move forward passionately. Generosity: Share, listen, serve. Authenticity: Be you, make us stronger. Our Actions: We commit to audacious goals. We work seamlessly as a team. We demonstrate mastery. We deliver outstanding results. Inclusion is at Our Core We believe diverse thinking leads to better outcomes. We are committed to creating a workplace where diversity, inclusion, equity, and belonging thrive. Welcome What s Next in Your Career at Ansys At Ansys, you will work alongside visionary leaders to change the world with innovative technology. We push the limits of world-class simulation technology, empowering our customers to turn their design concepts into successful, innovative products faster and at a lower cost. At Ansys, it s about learning, discovery, and collaboration. It s about the "what s next" as much as the "mission accomplished." It s about forging innovation in an environment built on respect, autonomy, and ethics.