Multilingual Speech Jobs in Bengaluru
17 Jobs Found
Machine Learning Engineer - Speech Ai (asr & Tts)
Sarvam
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.
Lead Machine Learning Engineer - Nlp
Observe.ai Networks Private Limited
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
Ai-ml Technologist
Camsdata Technologies India Pvt. Ltd.
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
Conversational Ai Lead Or Architect
Avaamo
Conversational AI Lead / Architect Location: Bangalore | Employment Type: Full-time About the Role We are looking for a skilled and experienced Conversational AI Lead/Architect to join our team at Avaamo. In this role, you will be responsible for designing, developing, and implementing cutting-edge Conversational AI solutions. As a subject matter expert, you'll work closely with IT managers, business teams, and customers to understand their requirements and deliver high-impact solutions that enhance the Avaamo platform. Responsibilities Lead the design, coding, and implementation of Avaamo s Conversational AI products, ensuring solutions meet both technical and business needs. Collaborate with IT managers and business stakeholders to gather requirements and translate them into actionable technical solutions. Drive the implementation of solutions using Conversational Design principles and best practices. Develop, deploy, and maintain customized extensions to the Avaamo platform tailored to specific customer requirements. Provide technical guidance and training sessions to partner and customer development teams, ensuring smooth onboarding and ongoing success. Evaluate reported defects and prioritize them for resolution, ensuring product quality and customer satisfaction. Travel to customer locations for on-site support, providing hands-on assistance and expertise as needed. Document best practices, implementation guidelines, and "how-to" guides to support customer and partner teams in leveraging Avaamo s products effectively. Requirements (Mandatory) 6+ years of strong programming experience in JavaScript, HTML, and CSS. Proven expertise in creating and consuming REST APIs and SOAP services. In-depth knowledge of web technologies and current industry trends. Solid understanding of security in web applications and services. At least 2 years of experience using Node.js, with a deep understanding of its architecture. Hands-on experience with Git and other version control systems. Experience deploying web applications on Linux servers in production environments. Familiarity with deployment processes and CI/CD tools. Exceptional communication skills, with the ability to work with both technical and non-technical teams. Minimum of 2 years of experience in client-facing roles, working closely with customers to deliver solutions. Good to Have Full-stack development experience, with expertise in UI/UX design or insights. Working knowledge of AI, ML, and NLP technologies. Experience with enterprise system integrations, such as MS Dynamics CRM, Salesforce, ServiceNow, and MS Active Directory. Experience implementing Single Sign-On (SSO) in web/mobile applications. Ability to quickly learn new technologies and manage small engineering teams. At Avaamo, we re redefining the future of Conversational AI. We specialize in creating advanced conversational interfaces that solve high-impact challenges for enterprises. Join our team and contribute to pioneering AI-driven technologies that are transforming how businesses engage with customers and employees.
Corporate Communication Manager
Themathcompany
Job Title: Corporate Communications Manager Location: Bangalore, Karnataka, India Department: Marketing Experience Required: 7 10 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and analytics firm trusted by Fortune 500 and Global 2000 companies for data-driven decision-making. With our proprietary platform, NucliOS, and a strong culture of innovation and collaboration, we build custom AI solutions to solve complex business problems. We're a people-first organization where curiosity is encouraged, creativity is celebrated, and impact is inevitable. Role Overview As the Corporate Communications Manager, you will drive MathCo s overarching communication strategy shaping our internal narrative, amplifying our employer brand, and positioning us as a thought leader in the industry. This is a high-impact role that balances strategy with execution. You ll lead a team of communication specialists and work closely with senior leadership, HR, marketing, and business teams to craft compelling, consistent, and culturally resonant communications across all key channels. Key Responsibilities Internal Communications Develop and execute a comprehensive internal communications strategy to foster alignment, engagement, and transparency. Create messaging for leadership updates, organizational priorities, cultural milestones, and business wins. Produce and manage content for internal channels including newsletters, town halls, intranet, and leadership communications. Use analytics and feedback to continually improve internal communications effectiveness. Media Relations & Thought Leadership Own and manage relationships with media outlets and journalists in India and North America. Craft and pitch press releases, bylines, feature stories, and leadership thought pieces. Prepare company spokespeople for public appearances and media engagements with briefing documents and coaching. Awards & Recognitions Identify and manage opportunities for industry and employer awards that elevate our brand and showcase our impact. Oversee the entire awards lifecycle from identifying submissions to writing, designing, and packaging entries. Amplify award wins and nominations internally and across external platforms. Talent Branding Partner with Talent Acquisition and the People Success team to strengthen MathCo s employer brand. Create compelling content for external platforms that highlights our workplace, culture, values, and people. Support recruitment marketing with campaigns, collateral, and branding for events such as campus hiring. Team & Stakeholder Management Lead and mentor a team of communication professionals. Collaborate with cross-functional stakeholders to ensure message consistency and alignment across touchpoints. Develop and implement a structured communication calendar and track key KPIs for communications effectiveness. 7 10 years of experience in corporate communications, marketing, or brand roles preferably in a B2B tech, analytics, or consulting environment. Strong leadership skills with experience managing teams and working in a matrixed organization. Exceptional storytelling, writing, and content development abilities across multiple formats and audiences. Demonstrated success in managing internal communications, employer branding, media relations, and award submissions. Strategic thinker with hands-on execution skills, and the ability to operate autonomously in a fast-paced, high-growth environment. Work with some of the brightest minds in enterprise AI and analytics. Play a pivotal role in shaping the voice and narrative of a growing global brand. Enjoy a culture that values people, innovation, and impact. Be part of a journey to "Leave a Mark" on the company, your career, and the industry.
Language Trainer
Solaredge Technologies
Power the Future with Us! Location: Bengaluru, India Reporting to: Service Manager SolarEdge (NASDAQ: SEDG) is a global leader in high-performance smart energy technology, operating in 34 countries with millions of installations across 133+ nations. Our innovative portfolio includes solar inverters, battery storage, EV charging, backup systems, and complete home energy management solutions. We are looking for a dynamic and experienced Language Trainer to enhance communication skills within our team in Bengaluru. If you have a passion for language training, expertise in dialect coaching, and a knack for helping others improve their language proficiency, we d love to hear from you! Key Responsibilities Develop & deliver customized language training programs based on agents proficiency levels. Provide specialized coaching to improve pronunciation, dialects, and regional accents. Use interactive methods such as multimedia resources and activities for engaging lessons. Assess & evaluate agents progress through tests, quizzes, and personalized feedback. Coach on cultural nuances to enhance language understanding and contextual accuracy. Lead group discussions, workshops, and seminars to refine conversational and presentation skills. Identify learning gaps and provide constructive feedback for improvement. Stay updated on the latest language training methodologies and tools to enhance training quality. Job Requirements 2+ years of experience in language training. Proven expertise in dialect coaching. Strong verbal and written communication skills. Excellent multitasking abilities and adaptability. Ability to identify learning gaps and provide effective feedback. Bachelor s degree in Language, Education, or a related field (preferred). Be part of a global leader in clean energy innovation. Career growth & skill development opportunities. Regular training & upskilling programs. Work in a diverse and inclusive environment. At SolarEdge, we recognize that our strength lies in our people. Join us and help shape a future where clean, green energy powers the world! Apply now and be a part of our mission! Qualification : Bachelors degree in Language, Education, or a related field
Senior Product Designer
Observe.ai Networks Private Limited
Senior Product Designer Location: Bengaluru About Us: Observe.AI Observe.AI is a leading AI-powered platform transforming customer experience through intelligent automation. Our platform enables enterprises to deploy AI agents that seamlessly manage customer interactions, providing natural, human-like conversations with predictable outcomes. By combining advanced speech understanding, workflow automation, and enterprise-grade governance, Observe.AI enhances both human and AI agent performance. Our clients, including DoorDash, Affordable Care, Signify Health, and Verida, rely on Observe.AI to revolutionize their customer experiences, accelerating service delivery, boosting operational efficiency, and building stronger customer loyalty across all communication channels. As a member of the Product Design Team, you ll collaborate with a diverse group of talented individuals. We are committed to cultivating a strong design culture one that emphasizes collaboration, mentorship, and design excellence. Here, your work will directly influence product strategy, improve workflows, and help set new industry standards for user experience. As a Senior Product Designer, you ll play a pivotal role in shaping the user experience and interface of our products, bringing designs to life that empower our users and push the boundaries of the AI-powered solutions we deliver. What You ll Be Doing: Lead Design Solutions: Take ownership of design projects across multiple product areas, creating scalable and flexible design systems that enhance user experiences. Product Vision & Strategy: Help refine and define the long-term design direction of our products, working both independently and collaboratively with cross-functional teams to set strategic design goals. User Research & Data-Driven Design: Utilize qualitative and quantitative research to inform design decisions, ensuring solutions effectively meet user needs and solve real-world problems. Visual & Interaction Design Excellence: Create polished, high-quality, visually appealing, and user-friendly designs. Consider accessibility, responsiveness, and edge cases to ensure optimal usability. Design Systems Contribution: Help evolve and improve our design systems, contributing to consistency and efficiency across Observe.AI s platform. Cross-Functional Collaboration: Work closely with product managers, engineers, and other stakeholders to ensure seamless execution from initial concept to final implementation. Mentorship & Leadership: Guide and mentor junior designers, sharing expertise and fostering a culture of design excellence within the team. What You ll Bring to the Role: 7-9+ years of experience in UX/UI or Product Design, with a strong portfolio demonstrating impactful design work across complex projects. Experience designing Large Language Model (LLM)-powered products such as chatbots, voicebots, or other AI-driven solutions. Domain knowledge in the Contact Center Industry, with an understanding of its unique challenges and user needs. Expertise in user-centered design, interaction design, and usability best practices. Experience contributing to or building design systems and scalable UI frameworks. Ability to simplify complex problems into clear, elegant solutions with a solid understanding of information architecture and workflow design. Strong storytelling and communication skills, with the ability to present design rationale and influence stakeholders at all levels of the organization. Experience conducting user research, analyzing data, and using insights to drive product improvements. A proactive, self-starter mindset able to drive projects independently while collaborating effectively with cross-functional teams. Compensation, Benefits, and Perks: Medical Insurance: Comprehensive coverage, including free online doctor consultations. Leave Policies: Generous annual leave (national & festive holidays), privilege leave, sick leave, and parental leave. Learning & Development: A dedicated fund to support your continuous learning and professional growth. Flexible Benefit Plans: Tax exemptions (e.g., Meal card, PF) to optimize your benefits. Cultural Engagement: Fun events to build team culture and foster a strong work environment. How to Apply: To be considered for this role, please submit your resume and portfolio through our career portal or LinkedIn. If your portfolio requires a password, please provide it. We are particularly interested in seeing: Clear problem definitions based on research. Your creative process for developing solutions. Strong rationale behind design decisions. Polished UI & interaction designs that address defined problems.
Infrastructure Security Leader
Observe.ai Networks Private Limited
Infrastructure Security Leader Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI-powered platform for customer experience, enabling enterprises to automate customer interactions using AI agents. Our platform ensures natural conversations, delivering predictable outcomes, and is trusted by top companies like DoorDash, Affordable Care, Signify Health, and Verida. Observe.AI blends advanced speech understanding, workflow automation, and enterprise-grade governance to deliver end-to-end AI solutions that optimize both human and AI interactions, providing insights for coaching and quality management. At Observe.AI, we re on a mission to transform customer experiences through AI. As a founding member of our Infrastructure/Cloud Security team, you will have the opportunity to shape and design cloud security from the ground up for a platform trusted by over 80 million users. Reporting directly to the VP of Information Security, you will drive a defense-in-depth approach across infrastructure, IAM, and networks. This is a unique, zero-to-one role where you ll define security strategy, mentor the team, and make a long-lasting impact in a fast-growing AI company. What You ll Be Doing: Security Strategy Development: Design and document security policies, reference architectures, design patterns, and roadmaps to protect our platform. Secure Access & Network Design: Lead efforts to design secure access controls and networks for production environments. Cross-Department Leadership: Collaborate with Corporate IT to implement security measures within the corporate environment. Defense-in-Depth: Implement network segmentation, firewall configurations, VPNs, and deep packet inspection to minimize impact from security incidents. AWS Infrastructure Security: Re-architect AWS infrastructure to enhance security, ensuring that networks, VPCs, and security configurations are optimized. Vulnerability Management: Identify tools and technologies to scan networks, OS, and infrastructure for vulnerabilities, and work with SRE teams to remediate identified risks. Security Compliance: Represent Infrastructure Security in PCI, SOC, ISO, HITRUST, and other regulatory audits, ensuring compliance. Collaborative Design: Partner with engineering teams and architects to ensure infrastructure designs meet both business and security requirements. Stakeholder Collaboration: Work with other teams to integrate up-to-date security features and infrastructure designs across the organization. What You ll Bring to the Role: 9+ years of experience in Software Engineering, Network Security, and AWS Security. Proven track record in designing and implementing secure Cloud Infrastructure, Network Security, and Corporate IT Security. Experience at a SaaS product company with hands-on knowledge of cloud security. Leadership experience in managing Infrastructure Security teams or Security-Focused SRE teams. Strong understanding of network designs, protocols, and certifications like CCNA (or similar). Ability to handle multiple, high-priority projects simultaneously while maintaining focus and quality. Comfort with working off-hours to handle security incidents in a dynamic, fast-paced environment. First-hand experience with major cloud providers, specifically AWS. Deep understanding of large-scale systems and N-tier architectures. Excellent communication skills, able to effectively influence and collaborate with stakeholders across the organization. Perks & Benefits: Medical Insurance: Comprehensive options, including free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, along with generous national, festive, and parental leave. Learning & Development: Access to a fund that supports continuous learning and professional growth. Flexible Benefits: Tax exemptions for meals, PF, etc., along with other flexible benefit plans. Team Culture: Fun events to foster collaboration and culture across the organization.
Software Development Engineer Iii
Observe.ai Networks Private Limited
Software Development Engineer III Location: Bengaluru About Us: Observe.AI Observe.AI is a leading AI-powered platform revolutionizing customer experience. We enable enterprises to deploy AI agents that automate customer interactions, creating natural conversations and delivering predictable outcomes. Combining advanced speech understanding, workflow automation, and enterprise-grade governance, our platform empowers teams to guide and augment human agents with AI copilots, and analyze 100% of both human and AI interactions for insights, coaching, and quality management. Companies such as DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all communication channels. At Observe.AI, you will be building the backend that powers AI agents, transforming customer service for global enterprises. You'll work on high-scale, complex systems where your contributions have a direct and visible impact. In a culture that emphasizes speed, innovation, and ownership, this is your chance to sharpen your skills, drive forward innovation, and shape the future of AI-powered customer experiences. You will collaborate closely with product, design, and engineering leaders to define the technical roadmap and build solutions that matter. If you are looking for an environment where your ideas drive innovation, your expertise shapes the platform s future, and your growth is fueled by working with brilliant peers, Observe.AI is the place for you. What You ll Be Doing: AI Agent Development: Contribute to building and deploying AI agents (Voice Agents, Chat Agents, and Copilots) at enterprise scale for customer service. Full Application Lifecycle: Design, code, test, deploy, and debug applications with a high focus on quality throughout the entire lifecycle. Collaborative Roadmap Creation: Work with product and design teams to translate product goals into clear, actionable technical roadmaps. Reusable Code Development: Create reusable code, frameworks, and libraries to accelerate development, ensuring consistency across multiple projects. Optimization: Optimize applications for speed, scalability, and reliability, proactively addressing bottlenecks and performance issues. Security & Data Protection: Implement robust security measures and data protection practices to safeguard customer data and sensitive information. Scalable Data Storage: Design and manage scalable data storage solutions to ensure efficiency, reliability, and long-term maintainability. Efficient Data Pipelines: Build and scale data pipelines to process large volumes of data accurately and efficiently. Team Leadership: Review work of other team members, provide feedback, and lead by example across all aspects of the development lifecycle. Thought Leadership: Represent Observe.AI at tech conferences, demonstrating thought leadership and presenting solutions to complex challenges. What You ll Bring to the Role: 6-9 years of experience in building large-scale products with a strong track record of delivering high-quality solutions. Expertise in Python (with immediate proficiency), and familiarity with other high-level languages such as Java, Golang, or similar. Solid experience with SQL or NoSQL databases (e.g., Postgres, MongoDB, Cassandra). In-depth knowledge of asynchronous communication tools like Kafka, SQS, Temporal, etc. Understanding of popular caching tools such as Ehcache, Memcache, Redis. A customer-first mindset with the ability to adapt quickly in a fast-paced environment. Strong problem-solving skills and the ability to think and communicate from first principles. Open-mindedness to learning new technologies and staying current with industry trends. Perks & Benefits: Medical Insurance: Comprehensive medical coverage with free online doctor consultations. Leave Policies: Generous leave options, including privilege and sick leave as per Karnataka S&E Act, national and festive holidays, and parental leave. Learning & Development: A dedicated fund for continuous learning and professional development. Flexible Benefits: Tax-saving benefits (e.g., meal cards, PF, etc.) and flexible benefit plans. Team Culture: Regular fun events to promote collaboration and build company culture.
Ai Agent Engineer
Observe.ai Networks Private Limited
AI Agent Engineer Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. We enable enterprises to deploy AI agents that automate customer interactions, delivering natural conversations with predictable outcomes. Our platform combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. We also empower teams to guide and augment human agents with AI copilots, while analyzing 100% of interactions for insights, coaching, and quality management. Leading companies like DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all channels. We re looking for an AI Agent Engineer to take the lead in building and deploying enterprise-grade Voice, Chat AI agents, and AI Copilot solutions. This role is hands-on, customer-facing, and crucial for bringing AI solutions to life from design and integration to deployment and optimization. As an AI Agent Engineer, you'll **own the end-to-end lifecycle of AI agents**: from building and integrating them to testing, deploying, and tuning performance to meet client requirements. What You ll Be Doing: AI Agent Development & Deployment: Take full ownership of building and deploying AI agents, including designing prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement & Demos: Lead weekly client demos, showcase progress, gather feedback, and act as the primary technical contact once the solution is defined. Systems Integration: Configure and integrate APIs, handle data mappings, manage authentication, error handling, and connect AI agents to CRMs, databases, or knowledge systems. Telephony Integration: Set up and optimize SIP/CCaaS/PSTN routing, configure fallbacks, pass metadata, and troubleshoot call quality issues. Optimization & Iteration: Continuously monitor agent performance, refine prompts, conduct iterative tests, and ensure agents meet automation and containment targets. Strategic Consultation: Translate customer requirements into actionable solutions, while working consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaboration with Engineering: Work alongside the product and engineering teams for deeper technical fixes and platform improvements, while leading client delivery independently. What You ll Bring to the Role: 3+ years of experience in conversational AI, ML engineering, or system integration, with hands-on delivery of AI/LLM-based solutions. Strong expertise in prompt engineering, workflow building, API integration, and telephony systems (SIP, Twilio, Amazon Connect, etc.). Familiarity with Large Language Models (GPT, Claude, Gemini) and orchestration frameworks like LangChain and LlamaIndex. Solid ML knowledge in areas such as embeddings, retrieval-augmented generation (RAG), evaluation frameworks, and fine-tuning models for optimal performance. Proficiency in programming languages such as Python, JavaScript, or similar. Customer-facing experience, with the ability to lead deep technical discussions and conduct weekly project demos. A strong problem-solving mindset, with the ability to find workarounds, unblock integrations, and adapt to unique customer ecosystems. Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience with Integration Platform-as-a-Service (iPaaS) providers such as n8n, Zapier, or similar, and a strong understanding of API integrations and data flow management. Extensive hands-on experience with telephony integrations, including protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits: Medical Insurance: Comprehensive medical coverage and free online doctor consultations. Generous Leave Policies: Annual privilege and sick leave (as per Karnataka S&E Act), national and festive holidays, plus parental leave. Learning & Development Fund: Support for continuous learning and professional development. Fun Team Culture: Regular fun events to foster a collaborative and engaging work environment. Flexible Benefit Plans: Tax-saving benefits (meal cards, PF, etc.) and other flexible benefit options. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field
Lead Ml Engineer
Avaamo
Lead Machine Learning Engineer Location: Bangalore | Employment Type: Full-time About the Role We are seeking a talented and driven Lead Machine Learning Engineer to join Avaamo s Product Engineering team. In this role, you will have the opportunity to shape and enhance the core features of our search technology stack, focusing on areas like search ranking models, query understanding, and natural language question answering. What You ll Do Innovate and expand the capabilities of our search stack, including ranking models, query parsing, and NLP-driven question answering. Gain a deep understanding of search usage patterns and user needs, identifying areas for improvement and growth. Design, prototype, and iterate on cutting-edge ML/NLP/Information Retrieval solutions to enhance our search functionality. Develop and optimize an experimentation framework to evaluate and track improvements to the search stack. Write clean, efficient, and maintainable code that is easy to test and scale. Mentor junior engineers, fostering a collaborative learning environment and sharing your expertise. What You Bring (Qualifications) A BS in Computer Science or a related field. 5+ years of hands-on experience in machine learning, NLP, or related fields. Strong analytical and data-driven mindset, with the ability to extract insights and build effective solutions. Experience in recommendation systems, natural language processing, LLMs, applied machine learning, or large-scale search/ranking systems. Key Skills & Qualities Collaborative, customer-focused, and team-oriented, with a willingness to contribute across multiple areas of the product. Proactive, positive, and self-driven, with the ability to take ownership of both small tasks and large features. Proven experience in designing and building complex search/ranking/recommendation systems. Strong proficiency in Python programming. About Avaamo Avaamo is a deep-learning software company that focuses on creating advanced conversational interfaces to solve high-impact problems in the enterprise space. We are at the forefront of AI technologies, working on neural networks, speech synthesis, and deep learning to transform how enterprises engage with conversational computing. Qualification : BS in Computer Science or a related field
Sr Software Sales Consultant / Manager (saas)
Qualityze
Sr. Software Sales Consultant / Manager (SaaS) Location: Bengaluru, India (In-Office) Experience: 8 13 years Job Type: Full-time | Permanent Role Category: Enterprise & B2B Sales Industry: IT Services & Consulting About the Role We re looking for a driven and experienced Senior Software Sales Consultant / Manager to lead our enterprise software sales efforts across North America and APAC markets. You'll be at the forefront of selling our next-gen cloud-based Quality Management System (EQMS) designed for industries like General Manufacturing, Life Sciences, and Automotive. If you're passionate about helping organizations digitally transform and thrive in a competitive landscape especially in compliance, quality, and process optimization we want to hear from you. What You ll Be Doing Sales Strategy & Execution Drive new business and manage existing accounts to exceed annual sales quotas Operate as a hunter, building a strong pipeline via assigned leads and self-sourced opportunities Manage the entire sales cycle: lead generation qualification business development deal closure Create success plans aligned with both individual targets and company revenue goals Client Engagement Build strong, multi-level relationships with decision-makers and influencers Understand customer pain points and map them to the value of our solutions Position our EQMS and complementary platforms to meet compliance, quality, and efficiency needs Sales Operations Keep CRM (Salesforce) updated with an accurate pipeline and forecast Collaborate with internal teams Product, Development, Support, Consulting to ensure a seamless customer experience Represent the company at industry events, trade shows, and webinars What You ll Bring Required Skills & Experience 8 13 years of successful experience in enterprise software sales (SaaS, cloud-based platforms, or EQMS/ERP/CRM) Prior experience with on-premise-to-cloud transitions is a big plus Strong working knowledge of Quality, Compliance, or Clinical Information Systems Ability to understand complex business workflows and demonstrate high-value software solutions Exceptional communication, negotiation, and presentation skills Proficiency in Microsoft Office Suite and familiarity with Salesforce CRM Self-starter with a strong sense of ownership and ability to work cross-functionally Education Bachelor s degree in Business, Engineering, or a related field Nice to Have Exposure to EQMS, ERP, MES, CRM, HCM, EPM, or BI/Analytics platforms Experience selling into regulated industries like Life Sciences, Pharma, or Automotive Multilingual skills (English is mandatory; additional languages are a bonus) Opportunity to work with an innovative SaaS product in a growing industry Access to top-tier clients and complex enterprise deals Fast-paced, collaborative, and learning-driven work culture Competitive salary and career progression based on performance Apply now and take the lead in shaping the future of quality and compliance software for global enterprises! Qualification : Bachelors degree in Business, Engineering, or a related field
Data Annotation Specialist
Neuron7.ai
Data Annotation Specialist Location: Bengaluru, India About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that s redefining service intelligence. Backed by leading venture capitalists in Silicon Valley and a distinguished group of angel investors, Neuron7.ai is a startup recognized for its innovation and market traction. Our platform delivers service predictions by analyzing both structured and unstructured data, enabling enterprises in industries like high-tech devices, manufacturing, and medical devices to make accurate service decisions at scale. We re looking for a Data Annotation Specialist to join our team for a 6-month contract. This role involves reviewing and annotating technical documents, converting them into visual formats like graphs and flowcharts, and ensuring precision in technical specifications. The ideal candidate will possess strong communication skills, a deep understanding of technical documentation, and hands-on experience with data visualization tools. At Neuron7.ai, you'll be part of an innovative, dynamic team that's redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. If you're passionate about transforming complex data into easily digestible visuals, this is the perfect role for you. About the Team Join a team of passionate professionals dedicated to using AI to drive impactful service solutions. Our culture promotes learning, growth, and encourages everyone to contribute ideas and drive projects forward. What You ll Do: Document Review & Annotation: Thoroughly analyze technical documents and annotate key data points accurately, ensuring they are aligned with the original content. Graph & Flowchart Creation: Transform complex technical specifications into clear, concise, and accurate visual formats like graphs, charts, and flowcharts. Data Visualization: Develop easy-to-understand visual data representations to enhance the comprehension of technical documentation. Collaboration: Work closely with internal technical teams to ensure that data and processes are correctly represented and visualized. Quality Control: Ensure that all annotations and visuals meet the highest accuracy standards and align with the original documentation. Clear Communication: Effectively communicate technical details, both in writing and verbally, with internal teams and stakeholders. Time Management: Manage multiple tasks efficiently while meeting deadlines, and be flexible with working hours, primarily in the PST time zone. What You ll Need: Education: A Bachelor s degree (or higher). Curiosity and Analytical Thinking: Strong curiosity about how people think and express ideas, and an ability to distill and clarify complex information for AI and machine learning applications. Communication Skills: Exceptional written and verbal communication skills to convey complex technical concepts clearly. Technical Document Comprehension: Ability to read and understand technical documents, accurately annotating them with precision. Graph & Flowchart Creation: Hands-on experience creating graphs, charts, and flowcharts to visually represent technical data. Attention to Detail: A keen eye for detail to ensure accuracy in annotation and data visualization. Technical Aptitude: Comfort with working with technical information and transforming it into easy-to-understand visuals. Flexible Working Hours: Ability to work flexible hours, primarily within the PST time zone. Immediate Availability: Must be able to start immediately and commit to the full 6-month contract. What We d Like to See: Experience with Diagramming Tools: Familiarity with tools like Microsoft Visio or similar for diagramming and process mapping. Data Annotation Experience: Previous experience in data annotation would be a plus. Multilingual Skills: Fluency in an international language other than English is a plus. Our Commitment to Diversity and Inclusion Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination or harassment 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 excited about using data to drive service intelligence and want to be part of a forward-thinking team, we d love to hear from you! Qualification : A Bachelors degree (or higher).
Software Engineer III - AI/ML, Platforms and Devices
Google Careers
Software Engineer III - AI/ML, Platforms and Devices Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience developing accessible technologies. About the Job Google's software engineers work on cutting-edge technologies that transform how billions of users connect, explore, and interact with information. Our products must handle data at a massive scale, far beyond web search. We seek engineers who bring innovative ideas from various fields, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile development. As a Software Engineer, you will work on training and optimizing complex machine learning (ML) models for the Tensor Processing Unit (TPU). By enabling models across diverse applications like camera, speech, Translate, TTS (Text-to-Speech), and others on Edge TPU, you will gain valuable experience in efficient model architectures, optimization techniques, and on-device machine learning at Google. You will also be responsible for managing project priorities, deadlines, and deliverables. Google's mission is to organize the world s information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, software, and hardware to create radically helpful experiences for users. We design and develop new technologies and hardware to make user interactions faster, more seamless, and powerful. Whether advancing form factors, improving interaction methods, or innovating new ways to capture and sense the world around us, our Devices & Services team is helping make people's lives better through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing. Qualification : Master's degree or PhD in Computer Science or a related technical field.
Sales Development Representative
Intugine Technologies
About Intugine: Ever wondered how the products you use every day from your favorite snacks to the latest gadgets reach you on time and in perfect condition? The journey these products take is complex, spanning sourcing, manufacturing, storage, and moving across a global supply chain. Intugine Technologies is here to simplify this complexity. We offer best-in-class visibility solutions that help global brands manage their supply chains efficiently, reduce logistics costs, eliminate operational inefficiencies, and improve key metrics like OTIF (On-Time, In-Full) and order-to-delivery turnaround time. Our solutions offer end-to-end visibility across various transportation modes (air, land, sea, and rail), helping brands track shipments and materials at every stage of the supply chain. As a proud partner of India's National Logistics Policy, Intugine integrates with key systems like FASTag, Port Community System, and Freight Operations Information System to offer deeper insights into logistics. With 75+ global clients, including GE Healthcare, Flipkart, Titan, Diageo, and Ultratech Cement, we are committed to transforming supply chains for the better. Role and Function: We are expanding our Business Development team and looking for enthusiastic Sales Development Representatives (SDRs). As an SDR at Intugine, you will be the first point of contact for outbound engagements, helping us meet our ambitious customer acquisition and revenue growth goals. You will be responsible for prospecting and adding new accounts into the sales funnel, qualifying leads, and driving initial conversations with potential customers. 1+ years of experience in Lead Generation or Customer-Facing roles. SaaS experience is a plus. Experience in IoT/Technology is highly preferred. Experience in Logistics and Supply Chain is a huge bonus (so if that s you, apply already!). Excellent communication skills (verbal and written emails, LinkedIn, WhatsApp). Quick learner, self-starter, and a go-getter attitude. Basic understanding of the sales and lead generation process, contact extraction tools, and LinkedIn. Experience working with CRM tools (Hubspot or similar). Ability to communicate effectively with decision-makers and end-users. Multilingual proficiency (English, Hindi). Strong phone presence and comfortable making several calls per day. Strong problem-solving aptitude and a proactive attitude. Responsibilities: Research key accounts in your assigned industry and map decision-makers. Maintain and expand the company s prospect database within your territory. Utilize tools to extract contact details of potential prospects. Establish initial contact with decision-makers via email, LinkedIn, or phone calls. Qualify prospects, match their needs with Intugine's offerings, and schedule virtual meetings with Account Executives. Keep your CRM up to date with a healthy pipeline of prospects. Own and exceed sales development targets, which will be based on the number of meetings you set and the Sales Qualified Meetings (SQMs) you generate. Constantly evaluate and suggest new sales enablement tools to speed up opportunity identification. Our Team: We are a team of ambitious, reliable, and witty individuals who get the job done while having fun. We love solving intricate problems, and we re looking for smart, adventurous people who thrive in dynamic environments. If you want to make an impact with your work and grow in an exciting, fast-paced company, Intugine is the place for you. Perks at Intugine: Employee Stock Options: Take a slice of the pie and grow with us. Comprehensive Health Cover: For your peace of mind. Personal Development Budget: Upskill yourself, we ve got the bill. Flexible Working Hours: Set your own work hours. Open Door Policy: No cubicles, open collaboration. Generous Parental Leave: Because family comes first. Documented Equal Pay Policy: Ensuring fairness in 2024. Education Assistance: Let us support your educational aspirations. Work Autonomy: Enjoy complete ownership over your work. Employee Life Skill Training: Regular sessions on tax saving, investments, mental well-being, health, and fitness. Company Outings: Unwind with your team outside the office. Paid Time Off: Because your well-being is our priority. If you're ready to take the next step in your career and work with a company that values innovation and work-life balance, we want to hear from you! Apply now to join the Intugine rocketship.
Senior Analyst - Fusion Hcm Technical Consultant
Oracle
Job Title: Customer Success Services - Oracle SaaS/HCM/Cloud Analyst - Lead Career Level: IC3 Position Overview: As a member of Oracle s Support organization, you will be responsible for providing post-sales support and solutions to Oracle customers. Your focus will be on resolving complex, non-technical customer inquiries, as well as providing technical troubleshooting for Oracle's Electronic Support Services. Acting as a primary point of contact for customers, you will manage customer relationships and offer assistance to internal Oracle teams regarding customer situations and escalated issues. Key Responsibilities: Customer Support: Act as the primary contact for Oracle customers, assisting them with complex technical and functional queries related to Oracle Fusion HCM products, including Core HR, Absence, Benefits, Extracts, HDL Loader, Workflow, BI Publisher, and Oracle Integration Cloud. Incident Management: Track, diagnose, replicate, and resolve critical and complex cases, ensuring total resolution of service incidents. Customer Success: Advise customers on the complex use of Oracle products, providing tailored solutions and resolving critical issues. Situation Management: Take ownership of highly sensitive and critical customer issues, working directly with customers and consulting with management to drive resolution. Knowledge Sharing: Share your knowledge with teammates by delivering formal training sessions, creating and reviewing Knowledge Articles, and mentoring others to promote technical and professional development. Collaboration: Work closely with internal teams to address escalated customer issues and contribute to improving internal processes and solutions. Qualifications: Must-Have Skills: 6-10 years of experience in the implementation, support, or upgrade of Oracle SaaS HCM products, with at least one implementation experience in Core HR, Absence, Benefits, Extracts, HDL Loader, Workflow, BI Publisher, and Oracle Integration Cloud. Hands-on configuration experience with at least three or more tools: HCM Extracts HCM Data Loader (HDL) Payroll Batch Loader (PBL) Workflow BI Publisher Fast Formula Personalization PL/SQL Strong knowledge of Fusion Cloud architecture, setup manager, and activities. Experience with FBDI and OTBI report development. Knowledge of integrating external data sources into Oracle Fusion Applications. Familiarity with localizations and security setup is a plus. Nice-to-Have Skills: Experience with Oracle Core HR, Absence, Benefits, and Payroll in Release 12.1.3.x / 12.2.x. Experience working in L1/L2/L3 support environments. Ability to analyze and decipher software logs and trace files to troubleshoot issues. Hands-on experience with XML, Java, J2EE, Oracle ADF, SOA, and Web Services. Strong functional/product expertise, with the ability to relate Oracle s functionality to business processes. Additional Skills: Effective analytical and organizational skills. Strong verbal and written communication skills in English; multilingual skills are a plus. A proactive learning orientation, staying up-to-date with emerging business models, processes, and Oracle product solutions. Experience in Managed Services, including client relationship management, offshore delivery management, project/program management, and successful delivery of KPIs. Ability to work in rotational shifts, manage a large team, and ensure SLAs are met for both EBS and Cloud/SaaS customers. Education & Experience: B.S. (Computer Science), BE, or equivalent preferred. Other qualifications with adequate experience may also be considered. Qualification : B.S. (Computer Science), BE, or equivalent preferred.
Senior Manager, Software Engineering (ai/ml)
Salesforce
Description AI Cloud Team @Salesforce is looking for talented Senior Manager like you to to lead an exceptional engineering team in transforming the customer service landscape. Salesforce AI Cloud team brings the revolutionary AI technology to Salesforce CRM business at scale. The platform and application teams ( like Einstein Bots) under AI Cloud is looking for a Sr Manager to lead an exceptional engineering team to build and enhance the chatbots, ML models and services. You will leverage your experience in the areas of ML/NLP to help develop and refine our AI strategy and products like Einstein Bots, scaling the AI and ML services and ML Ops deployment pipelines while ensuring our stringent data privacy, security, residency, and compliance goals. Our mission is to deliver rich and compelling conversational experiences through multiple channels, enabling users to resolve issues faster and enhancing brand engagement and satisfaction. We're not just about development; we're about end-to-end ownership, directly improving customer experiences through a fast user feedback cycle. You'll be part of an industry-leading enterprise solution that leverages AI to automate customer service requests through friendly conversational interfaces, directly impacting millions of users worldwide.If you're passionate about AI, customer service experience, and making a real impact, the AI Cloud team is the place for you. Join us on this exciting journey of innovation and transformation. What You ll Do: Collaborate with Salesforce AI Cloud leaders to co-create and refine the AI strategy and roadmap. Drive the execution and delivery of features by collaborating with many multi-functional teams, architects, product owners and engineer. Lead the design, development and maintenance of high-quality and highly available AI/ML models, services and ML Ops deployments, chatbot solutions etc. Partner with Product Managers and Technical Program Managers to closely track progress across multiple work-streams while delivering goals for varying stakeholders. Prioritize retaining and attracting top talent, continuously invest in the development of high-performing teams, and passionately champion the success of both the team and its individual members. Be the service owner and ensure that our services are reliable and consistently available. Collaborate with cross-functional teams to ensure that high availability is a priority in all stages of development and deployment. Promote a culture of open communication and support within the team ensuring all voices are heard and the team is fostering a collaborative environment. Drive continuous improvement initiatives by identifying inefficiencies and developing solutions to enhance quality, reduce costs, and improve timelines. Daily management of stand-ups as the Scrum Master for engineering teams. Occasionally chipping in to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical skill sharp Required Skills: A related technical degree required. 12+ years experience building, scaling and maintaining large scale, complex AI products and/or services in the B2B (or B2C) SaaS industry. This experience should include building and sustaining large-scale solutions that operate around the clock, 24/7. 5+ years of people management experience, with at least 3+ years in leading teams focused on AI/ML initiatives. Knowledge and understanding of SaaS, PaaS, IaaS industry with hands-on experience of public cloud offerings (AWS, GAE, Azure). Experience in SaaS incident management, handling customer escalations and proactively working with customer success teams. Knowledge of professional software engineering best practices including coding standards, code reviews, source code management, continuous integration, build processes, testing, and operations. Experience with agile development methodologies is a must, and ScrumMaster experience is highly preferred. Exceptional verbal and written communication skills, along with strong organizational and project management abilities, and the capacity to work effectively in a distributed team setting. Passionate about engineering productivity, service ownership and customer success. Ability to be nimble, proactive, comfortable working with minimal specifications. Preferred Skills: Strong knowledge of Salesforce product and platform features, capabilities, and best use of it. Experience with NLP techniques and tools for text analysis and processing. Experience with cutting-edge machine learning techniques such as reinforcement learning, GANs, and advanced neural network architectures. Expertise in generative AI technologies, including experience with models such as GPT, DALL-E, and other generative adversarial networks (GANs). A track record of publications in top-tier conferences or journals and/or patents in the field of machine learning or data science. Knowledge of best practices and regulations around data privacy and security, such as GDPR, HIPAA, or CCPA. Ability to work with multilingual data sets and develop models that can handle multiple languages. Qualification : A related technical degree required.
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