Machine Learning Engineer Computer Vision VLM Full Time Engineering On-Site Bengaluru, Karnataka, India Machine Learning Engineer Computer Vision Vision Language Models (VLMs) About Sarvam AI Sarvam.ai is a pioneering generative AI startup headquartered in Bengaluru, India. We are dedicated to transformative R D in language technologies, building scalable and efficient Large Language Models (LLMs) that serve a wide spectrum of languages especially Indic languages. Our mission is to re imagine human computer interaction and craft novel AI driven solutions that make language technology inclusive for diverse communities worldwide. Role Overview As a Machine Learning Engineer (MLE) in the Vision Language team, you will build and refine vision, OCR, and language models for varied use cases. Your work will span research, scalable training, and rigorous evaluation of cutting edge computer vision and VLM systems. Key Responsibilities Model R D Prototype and fine tune state of the art vision architectures and vision language models. Design and evaluate multimodal fusion strategies for robust image text understanding. Data Training Pipelines Build distributed pipelines (PySpark / Ray) to curate and preprocess large scale multimodal datasets (images, geospatial rasters, PDFs, video frames, captions). Implement efficient training loops in PyTorch/Lightning with mixed precision, gradient accumulation, and multi GPU ( 4) parallelism. Domain Focused Applications Develop models for geospatial analysis, Indic document intelligence (OCR + layout), visual question answering (VQA), and broader computer vision use cases. Evaluation Benchmarking Define and automate task specific metrics for OCR accuracy, retrieval, dense captioning, and VQA; maintain regression dashboards and ablation suites. Required Qualifications Experience : 2 3 years in ML engineering with emphasis on classical computer vision and modern vision language models. Education : Bachelor s or Master s in Computer Science, AI/ML, or related fields. Technical Skills Strong Python PyTorch; comfortable with CUDA profiling and tensor debugging. Hands on experience training CV models (CNNs, ViTs) and/or VLMs on 4 GPU nodes. Proven ability to build, deploy, and monitor pipelines for OCR, object detection, and segmentation. Solid grasp of computer vision fundamentals (detection, segmentation, representation learning) and transformer mechanics. Software Engineering Fundamentals : Proficiency with Git, unit tests, structured logging, Docker, and CI/CD. Ability to select and integrate appropriate databases (SQL, NoSQL, vector stores) for large scale multimodal data. Experience designing scalable backend APIs/micro services (gRPC/REST), including monitoring and observability best practices. Preferred Qualifications Publications or submissions in CVPR/ICCV/ECCV, EMNLP, ACL. Prior work on multilingual or low resource vision language tasks. Experience with data centric AI (active learning, synthetic augmentation). Contributions to open source vision/NLP libraries (Hugging Face, OpenCV, Detectron2). Familiarity with distributed schedulers (KubeFlow, Slurm). Made with
Full Time Engineering On-Site Bengaluru, Karnataka, India AI Researcher / Research Engineer Autonomous Agents Location: Bengaluru, India Team: AI Research Product Innovation Type: Full-time About Sarvam.ai Sarvam.ai is at the forefront of India s AI revolution, dedicated to building transformative technologies that empower users and redefine digital interactions. Our mission is to develop intelligent systems that seamlessly integrate into everyday workflows, enhancing productivity and user experience. The Opportunity We are seeking passionate AI Researchers and Research Engineers to join our dynamic team. In this role, you will contribute to the research and development of advanced autonomous agents intelligent systems capable of performing tasks traditionally executed by humans. This includes navigating applications, automating workflows, and making context-aware decisions across various software environments. Key Responsibilities Research Development: Design and implement cutting-edge AI models for task automation, leveraging techniques in machine learning, reinforcement learning, and computer vision. System Integration: Develop agents that can interact with diverse software applications, ensuring compatibility and robustness across different platforms. Collaboration: Work closely with cross-functional teams, including product managers and software engineers, to align research objectives with product goals. Evaluation Optimization: Establish benchmarks to assess agent performance, and iteratively refine models for improved efficiency and accuracy. Knowledge Sharing: Contribute to the broader AI community through publications, presentations, and participation in conferences. Qualifications Educational Background: Bachelor s, Master s, or Ph.D. in Computer Science, Artificial Intelligence, or a related field. Degrees from top-tier institutions such as IITs, IISc, BITS Pilani, or international equivalents are highly valued. Technical Expertise: Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow or PyTorch. Strong understanding of machine learning algorithms, reinforcement learning, and computer vision techniques. Experience with automation tools and techniques. Research Experience: Demonstrated ability to conduct independent research, with a track record of publications or contributions to the AI community. Problem-Solving Skills: Ability to tackle complex problems, devise innovative solutions, and adapt to evolving technological landscapes. Industry Experience: Previous experience at leading AI companies (e.g., Google DeepMind, OpenAI, Meta AI, Microsoft Research, Anthropic) or top-tier AI startups is highly desirable. Preferred Qualifications Advanced Research: Experience in developing agents that interact with software applications using natural language instructions. Tool Proficiency: Familiarity with tools like Selenium, AutoHotkey, or similar for automating interactions. Interdisciplinary Knowledge: Understanding of human-computer interaction principles and user experience design. Open-Source Contributions: Active participation in open-source AI projects or communities. Why Join Sarvam.ai Innovative Environment: Be part of a team that s pushing the boundaries of AI to create real-world impact. Growth Opportunities: Engage in continuous learning and professional development in a rapidly evolving field. Collaborative Culture: Work alongside passionate professionals dedicated to excellence and innovation. Industry-Leading Compensation: Receive a comprehensive salary package with performance-based incentives, competitive with top AI companies. Application Process Interested candidates are invited to submit their resume and any relevant publications or project portfolios. Made with
Software Engineer Backend Systems, Autonomous Agents Full Time Engineering On-Site Bengaluru, Karnataka, India Software Engineer Backend Systems, Autonomous Agents Location : Bangalure, India Type: Full-time Team: AI Research Product Innovation About Sarvam.ai Sarvam.ai is at the forefront of India s AI revolution, dedicated to building transformative technologies that empower users and redefine digital interactions. Our mission is to develop intelligent systems that seamlessly integrate into everyday workflows, enhancing productivity and user experience. The Opportunity We are seeking a skilled Backend Software Engineer to join our Autonomous Agents team. In this role, you will be instrumental in designing and developing the scalable backend systems that power our intelligent agents. Your work will ensure these agents operate efficiently, reliably, and at scale, enabling seamless integration into various applications and workflows. Key Responsibilities System Design Development: Architect and implement robust backend services and APIs that support the functionalities of autonomous agents. Scalability Performance: Ensure backend systems can handle high-throughput and low-latency requirements, optimizing for performance and scalability. Integration: Collaborate with frontend and AI teams to integrate backend services with user interfaces and machine learning models. Monitoring Maintenance: Set up monitoring tools, logging, and alerting systems to maintain system health and quickly address issues. Security Compliance: Implement security best practices to protect data and ensure compliance with relevant regulations. Qualifications Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Technical Expertise: Proficiency in programming languages such as Go, Python, or Java. Experience with cloud platforms like AWS, GCP, or Azure. Strong understanding of microservices architecture and RESTful API design. Familiarity with containerization and orchestration tools like Docker and Kubernetes. Experience with databases (SQL and NoSQL) and caching mechanisms. Industry Experience: Previous experience at leading AI research labs such as Google, Microsoft Research, Amazon AI, Amazon Science, Meta, OpenAI, Anthropic Problem-Solving Skills: Ability to diagnose complex issues, identify root causes, and implement effective solutions. Collaboration: Excellent communication skills and the ability to work collaboratively in a fast-paced environment. Preferred Qualifications Distributed Systems: Experience in building and maintaining distributed systems. CI/CD Pipelines: Familiarity with continuous integration and deployment practices. Monitoring Tools: Experience with tools like Prometheus, Grafana, or ELK stack. Security Practices: Knowledge of authentication protocols, encryption, and other security measures. Why Join Sarvam.ai Innovative Environment: Be part of a team that s pushing the boundaries of AI to create real-world impact. Growth Opportunities: Engage in continuous learning and professional development in a rapidly evolving field. Collaborative Culture: Work alongside passionate professionals dedicated to excellence and innovation. Industry-Leading Compensation: Receive a comprehensive salary package with performance-based incentives, competitive with top AI companies. Application Process Interested candidates are invited to submit their resume and any relevant project portfolios. Made with
Sarvam.ai is a pioneering generative AI startup headquartered in Bengaluru, India. Our mission is to make generative AI accessible and impactful for Bharat. Founded by a team of AI experts, Sarvam.ai is dedicated to developing cost-effective, high-performance AI agents tailored for the Indian market, enabling enterprises to tap into new opportunities and foster deeper customer connections. Join us in reshaping AI for India and beyond. Job Summary We are looking for a skilled Frontend Engineer proficient in ReactJS and TypeScript to join our growing team. As a Frontend Engineer, you will be responsible for building and optimizing dynamic, user-friendly web applications that power AI-driven products. You will work closely with backend engineers, designers, product managers, and AI/ML teams to create intuitive and scalable user interfaces. Key Responsibilities Develop, optimize, and maintain scalable web applications using NextJS and TypeScript. Build and integrate reusable components and frontend libraries for future use. Work closely with backend engineers to consume and build APIs efficiently. Ensure application Performance, Security, Responsiveness, and cross-browser compatibility. Implement best practices for UI/UX, accessibility, and responsive design. Maintain high-quality code through unit testing, code reviews, and adherence to coding standards. Collaborate with designers and product teams to create pixel-perfect, seamless user experiences. Continuously improve frontend architecture, performance, and maintainability. Utilize error monitoring, analytics, and A/B testing tools to inform UI decisions and enhance user experience. Must-Have Skills and Qualifications Educational Background: Bachelors degree in Computer Science, Engineering, or related field. Frontend Development: Strong proficiency in ReactJS and TypeScript. State Management: Experience with React Query, Redux, or Context API. API Integration: Hands-on experience in integrating and building RESTful APIs. UI/UX Best Practices: Understanding of responsive design, performance optimization, and accessibility. Version Control: Familiarity with Git and version control workflows. Problem Solving: Strong analytical and debugging skills. Soft Skills: Excellent communication, teamwork, and problem-solving abilities. Good to Have Experience with Next.js or other React frameworks. Familiarity with component libraries like Shadcn UI, TailwindCSS, or Material UI. Exposure to Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure). Experience with CI/CD pipelines for frontend applications. Contributions to open-source projects or a strong GitHub portfolio showcasing frontend work. Apply for this position Autofill application Save time by importing your resume in one of the following formats: .pdf or .docx.
Sarvam.ai is a pioneering generative AI startup headquartered in Bengaluru, India. Our mission is to make generative AI accessible and impactful for Bharat. Founded by a team of AI experts, Sarvam.ai is dedicated to developing cost-effective, high-performance AI agents tailored for the Indian market, enabling enterprises to tap into new opportunities and foster deeper customer connections. Join us in reshaping AI for India and beyond. Role Overview We are looking for a Customer Success Lead who will own and drive Net Revenue Retention (NRR) for a portfolio of enterprise clients. This is a hands-on, cross-functional role requiring deep client empathy, strong analytical and communication skills, and the ability to engage technically with engineering teams while advocating for customers. The ideal candidate has a strong foundation in SaaS or solution delivery, has exposure to GenAI, and is comfortable reading and writing code. Roles & Responsibilities Own Net Revenue Retention (NRR): Drive usage and retention by building strategic relationships with key client stakeholders Drive Product Adoption: Conduct usage reviews, analyze hiring and engagement funnels, and identify value gaps to drive deeper adoption across products Client Engagement: Customize onboarding, training, and enablement plans for clients; provide ongoing account management and support. Insight-Driven Strategy: Use root cause analysis and product data to identify patterns, optimize usage, and shape feature priorities in collaboration with product teams. Customer Advocacy: Act as the internal voice of the customer, providing structured feedback to product, sales, and engineering teams. Sales Enablement: Identify cross-sell and upsell opportunities; collaborate with the sales team to close renewal and expansion deals. Operational Ownership: Track client rosters, usage metrics, and premium consumption; manage escalations and ensure process documentation is updated and shared internally. Executive Stakeholder Management: Engage with CXOs and senior leadership on the client side for strategic alignment and partnership development. Market Intelligence: Stay abreast of industry trends and competitor activity to drive competitive advantage. Must-Have Skills and Qualifications 5+ years of experience in customer success, solution delivery, or technical account management in a SaaS or enterprise technology environment. Strong technical literacy able to read/write code (e.g., Python, JavaScript) and debug issues or APIs. Familiarity with Generative AI technologies (e.g., OpenAI, Hugging Face, or open-source LLMs). Proven ability to engage cross-functionally with engineering, product, and sales teams. Excellent communication, stakeholder management, and presentation skills. Strong analytical mindset and data-driven decision-making capability. Highly organized, process-driven, and comfortable managing multiple accounts or projects simultaneously. Good to Have Experience working with large Indian enterprises or government-facing technology deployments. Familiarity with Hindi or regional Indian languages for client communication is a plus. Apply for this position Autofill application Save time by importing your resume in one of the following formats: .pdf or .docx.
Sarvam AI is reimagining how content is created, localized, and experienced - at scale, for Bharat and beyond. Join our Media AI team at the forefront of this transformation. We are looking for rockstar AI Engineers who are ready to take on this bold mission and build with us. What You’ll Do Design, prototype, and experiment with agentic AI systems for robust media generation pipeline. Implement state-of-the-art ML models into scalable agentic pipelines. Collaborate with product, infra, and research teams to streamline pipeline implementation and scalability. Explore AI applications/models in language processing, video/audio synthesis, and cinematic content generation. What We’re Looking For Strong engineering background with AI/ML systems experience. Proficiency in Python programming and problem-solving. Hands-on experience with implementing multimodal frontier models and building AI agents. Familiarity with prompt engineering, RAG, and agentic pipeline. Experience with at least one of: speech/audio processing, translation models, multimodal generation. Personal Qualities Builder mentality with a strong bias toward experimentation, iteration, and rapid scaling. Team-oriented mindset with enthusiasm for collaboration, and should thrive in a fast-paced environment. Detail-oriented with a high bar for quality, performance, and real-world impact. Why Sarvam AI? Build category-defining AI media products with massive cultural and societal impact. Work with a world-class team solving frontier AI problems in speech, language, and video. Shape the future of India-first, AI-native content creation workflows. Be part of a fast-moving startup working at Bharat-scale with global ambitions.
Sarvam.ai is a pioneering generative AI startup headquartered in Bengaluru, India. Our mission is to make generative AI accessible and impactful for Bharat. Founded by a team of AI experts, Sarvam.ai is dedicated to developing cost-effective, high-performance AI agents tailored for the Indian market, enabling enterprises to tap into new opportunities and foster deeper customer connections. Join us in reshaping AI for India and beyond. We are looking for a highly skilled and detail-oriented Senior Accountant to join our finance team. This role will play a key part in ensuring accurate financial reporting, overseeing day-to-day accounting operations, and supporting compliance and audit processes. Key responsibilities: Manage and oversee daily accounting operations, including general ledger, accounts payable/receivable, bank reconciliations, and payroll entries. Prepare monthly, quarterly, and annual financial statements. Assist in the budgeting and forecasting processes. Ensure timely and accurate tax filings (TDS, GST, income tax, etc.). Support external audits and coordinate with auditors as needed. Maintain internal controls and recommend process improvements. Monitor and enforce compliance with accounting policies and regulatory requirements. Requirement: Bachelor s degree in Accounting, Finance, or a related field; CA Inter or equivalent qualification preferred. 4 7 years of accounting experience, preferably in a fast-paced environment. Proficiency in accounting software such as Tally, Zoho Books, QuickBooks, or ERP systems (e.g., SAP, NetSuite). Advanced Excel skills and attention to detail. Excellent communication, organizational, and analytical skills. Ability to work independently and as part of a team. What we offer Competitive compensation package Opportunity to work closely with leadership A learning-first culture and a supportive environment Apply for this position Autofill application Save time by importing your resume in one of the following formats: .pdf or .docx.
Platform Tech Lead - Sarvam AI Platform Tech Lead Full Time Engineering On-Site Bengaluru, Karnataka, India Apply for this position Platform Tech Lead Company Overview: Sarvam.ai is a pioneering generative AI startup headquartered in Bengaluru, India. Our mission is to make generative AI accessible and impactful for Bharat. Founded by a team of AI experts, Sarvam.ai is dedicated to developing cost-effective, high-performance AI agents tailored for the Indian market, enabling enterprises to tap into new opportunities and foster deeper customer connections. Join us in reshaping AI for India and beyond. Job Summary: At Sarvam, we are training frontier-scale models and building the OS for multi-agent intelligence. Our stack has three layers: First-party apps (consumer + enterprise) that go beyond ChatGPT in UX and deep research workflows. Developer Harness that lets developers author, debug, eval, and auto-optimize agent systems a true IDE for agents. Execution Layer (OS) with primitives like schedulers, telemetry, durable execution, and context management. We are customer-obsessed purists, solving hard technical problems in a world-class manner. This is not incremental software; these are unsolved frontier problems. We are assembling a 20-member team of the highest density of talent in India. What you ll do: Lead the Harness + OS team building the foundation for multi-agent intelligence. Architect primitives: schedulers, execution engines, durable state management, context monorepos. Build developer harnesses: SDKs, eval frameworks, debugging and observability tools. Solve frontier-scale engineering problems where no reference implementations exist. Mentor systems and devtools engineers; establish coding standards and architectural rigor Ideal background / experience: You ve architected distributed infra, runtimes, or compiler-like systems. You ve thrived in environments where determinism, concurrency, and formal systems thinking mattered. You may have worked in deep infra startups, research-driven labs, or OSS systems projects. Apply for this position Autofill application Save time by importing your resume in one of the following formats: .pdf or .docx.
As a Senior Machine Learning Engineer at Sarvam AI, you will be responsible for overseeing the orchestration of the end-to-end AI in Media pipeline. Your role will involve combining cutting-edge models, agile workflows, and media-grade quality automation to automate movie and OTT content creation & localization across India's diverse languages. **Key Responsibilities:** - Own the design and evolution of Sarvam's Media AI pipeline by combining agent-based orchestration, scalable ML integration, and rapid experimentation. - Build and lead the development of production-grade ML pipelines, ensuring robustness, automation, and adaptability to media workflows. - Prototype and deploy agentic systems to automate task sequencing, error handling, and quality evaluation. - Drive continual improvements through prompt engineering, RAG, fine-tuning, and metric-driven performance monitoring. - Define pipeline-wide standards for quality, testing, fallback mechanisms, and edge-case handling. - Collaborate with model researchers, infra/platform teams, and product stakeholders to ensure end-to-end reliability. - Provide technical leadership and mentorship across the orchestration and pipeline engineering team. **Technical Expertise:** - 4-7 years of experience in ML/AI engineering. - Hands-on expertise in Generative AI, including LLMs, prompt design, and building complex agentic systems. - Strong proficiency in Python, PyTorch/TensorFlow, MCP, and agent orchestration frameworks (LangChain, LangGraph, Langfuse, or custom DAGs). - Proven track record of deploying ML pipelines in production at scale with monitoring and alerts, comfortable with tensor debugging. - Familiarity with ASR/TTS/translation models such as Whisper, wav2vec, F5, Coqui TTS, FastSpeech, Bark, Wav2Lip, etc. - Experience with cloud platforms (GCP/AWS), containerized deployments (Docker/Kubernetes), and scalable inference is a plus. **Leadership & Soft Skills:** - Entrepreneurial spirit with hands-on experience in 0-to-1 startup phases. - Proven ability to lead and mentor ML teams, balancing research rigor with production needs. - Strong systems thinking and cross-functional coordination. - Passion for keeping pace with the latest in Gen AI, LLMs, and ML engineering. - Experience working with media/OTT post-production pipelines is a plus.,
We are hiring a Model Product Manager to own charters for Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and model evaluation pipelines. You will work closely with research and engineering teams to define roadmaps, run training and evaluation cycles, and ship models that directly improve product experience and reliability. Key Responsibilities Define and drive roadmaps for ASR, TTS, and evaluation systems. Partner with engineering and research on data, training cycles, and model release planning. Set up and own evaluation frameworks and quality metrics (accuracy, latency, MOS, robustness). Run structured experiments (offline tests, A/Bs, human evaluations) to quantify improvements. Ensure scalable deployment and monitoring of models with infra/data teams. Translate user and business needs into measurable model goals. Provide clear communication on priorities, timelines, and trade-offs. Requirements 3+ years of experience building AI, applied AI, ML products, or model training pipelines. Familiarity with model lifecycle: training, tuning, deployment, monitoring. Strong analytical skills with comfort in data-driven decision making. Ability to collaborate across research, engineering, and product teams. Nice to Have Exposure to speech technologies (ASR, TTS) or evaluation pipelines. Experience with quality metrics like WER, CER, MOS, or latency tracking. Hands-on familiarity with SQL, Python, or ML toolkits. Apply for this position Autofill application Save time by importing your resume in one of the following formats: .pdf or .docx. Profile Upload your file or drag and drop here Supported formats: .pdf, .docx Do you have experience in Data Science or Machine Learning or Model training? (As a PM or practitioner) * This includes hands-on experience training machine learning models, working on a data science team, and familiarity with model evaluation metrics (e.g., precision, recall, F1-score). Describe your experience working with Large Language Models (LLMs) and Applied AI * Please provide specific examples from your projects. This could include your experience with model fine-tuning, retrieval-augmented generation (RAG), building automated evaluation pipelines, or working with AI agents.