ai engineer

Artech L.L.C.

<div>
 
 GenAI / AI-ML Engineer
 
 
 
 
 
 We are hiring experienced professionals in Generative AI and Machine Learning for cutting-edge AI-driven projects.
 
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Generative AI (GenAI)
 </li>
 <li>
 Artificial Intelligence / Machine Learning (AI/ML)
 </li>
 <li>
 Strong proficiency in Python
 </li>
 <li>
 MLOps (model deployment, monitoring, and lifecycle management)
 </li>
 <li>
 Experience with model training, fine-tuning, and optimization
 </li>
 <li>
 Familiarity with frameworks such as TensorFlow / PyTorch (preferred)
 </li>
 </ul>
 
 
 
 
 
 Job Summary:
 
 
 
 We are looking for a skilled GenAI / AI-ML Engineer with strong experience in building and deploying machine learning models and generative AI solutions. The role involves designing scalable ML pipelines, working on LLM-based solutions, and implementing end-to-end MLOps practices for production-grade AI systems.
 
</div>

AI ML engineer

Accenture in India

<div>
 
 Project Role :
 
 AI / ML Engineer
 
 
 
 Project Role Description :
 
 Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 
 
 
 Must have skills :
 
 Natural Language Processing (NLP)
 
 
 
 Good to have skills :
 
 NA
 
 
 
 Minimum 5 Year(s) Of Experience Is Required
 
 
 
 
 Educational Qualification :
 
 Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs
 
 
 We're looking for a visionary AI Research and Innovation Practitioner to develop new algorithms, enhance existing models, and explore novel applications of AI to address complex challenges faced by our clients. The position is open across multiple areas of AI and Gen including Speech and Audio, Computer Vision, Natural Language Processing and Multimodal AI. We also have emerging research tracks on Agentic AI autonomous, goal driven intelligent systems that can reason, plan, and adapt using AI. Are you a PhD in CS/EE/Math/AI/Statistics or similar disciplines from a top tier institute (IIT/IISc/ISI/IIIT) and experienced in Artificial Intelligence/Machine Learning/Natural Language Processing/Computer Vision/Speech Processing/Multi Modal Processing, then we would love to talk to you. Are you passionate about cutting edge research and making tangible impact, this is your opportunity to lead innovation at scale. Join Accenture s Centre for Advanced AI (CAAI), where world-class AI research meets real-world enterprise impact. Your key responsibilities will include (a) Building novel solutions to the challenging problem faced by industry (b) Collaboration with Responsible AI, Delivery leads, and Academia (c) Real world applications: digital assistants, healthcare agents, enterprise automation (d) Leading research and publishing in top tier conferences (e) Mentoring and building the next wave of AI talent. The locations where candidate can be posted are Bangalore, Hyderabad, Mumbai, Pune, Chennai, Gurgaon, and NCR.
</div>

AI / ML Engineer

Genios AI

<div>
 
 About Us
 
 
 
 We intend to defy the cliches while living them. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI. You will be instrumental in shaping this cutting edge AI product owning features from design to launch.
 
 
 Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation. We&rsquo;re looking for software engineers with solid foundations in building production systems and a strong applied AI focus. You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use.
 
 
 As an engineer at Genios, you&rsquo;ll focus on making minimum loveable products powered by AI&mdash;building scalable, reliable, and user-friendly systems. You&rsquo;ll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production. This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation.
 
 
 We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority.
 
 
 Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems.
 </li>
 <li>
 Integrate model training, evaluation, deployment, and monitoring into product workflows
 </li>
 <li>
 Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools.
 </li>
 <li>
 Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.
 </li>
 <li>
 Benchmark models, develop evaluation frameworks, and improve reliability and auditability.
 </li>
 <li>
 Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments.
 </li>
 <li>
 Work across the stack&mdash;from backend systems to product SDKs&mdash;to deliver AI features directly into user-facing applications.
 </li>
 <li>
 Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind.
 </li>
 <li>
 Own critical product components and take responsibility for delivering robust, production-grade features.
 </li>
 <li>
 Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems.
 </li>
 <li>
 Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience.
 </li>
 <li>
 Strong software engineering background with proven experience shipping production systems.
 </li>
 <li>
 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions.
 </li>
 <li>
 Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC.
 </li>
 <li>
 Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API.
 </li>
 <li>
 Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems.
 </li>
 <li>
 Experience building and scaling backend platforms, APIs, and microservices.
 </li>
 <li>
 Comfortable working full-stack, from model APIs down to user-facing integrations.
 </li>
 <li>
 Have shipped AI features that users actually use; production experience over theoretical knowledge.
 </li>
 <li>
 Track record of building reliable products with strong attention to detail and usability.
 </li>
 <li>
 Autonomous and excited about taking ownership over major initiatives.
 </li>
 <li>
 Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle.
 
 
 </li>
 </ul>
 
 
 Bonus Points
 
 
 
 
 <ul>
 <li>
 Production experience with LLMs (APIs or custom implementations) at meaningful scale.
 </li>
 <li>
 Experience building agentic systems or LLM-enabled products.
 </li>
 <li>
 Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks.
 </li>
 <li>
 Experience with performance optimization and high-scale document indexing systems.
 </li>
 <li>
 Prior startup experience, grit, and ability to thrive in fast-moving environments.
 </li>
 <li>
 Familiarity with databases and comfortable writing SQL queries.
 
 
 </li>
 </ul>
 
 
 Perks
 
 
 
 
 <ul>
 <li>
 Competitive Compensation
 </li>
 <li>
 Unlimited PTO
 </li>
 <li>
 Hybrid working model (3 days in office)
 </li>
 <li>
 AI Assistants for work (Coding, General Purpose, etc.)
 </li>
 </ul>
</div>

Software Engineer - AI Platform (India)

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience programming in Python or C++.
 </li>
 <li>
 1 year of experience with 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.
 </li>
 <li>
 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical fields.
 </li>
 <li>
 2 years of experience with data structures or algorithms.
 </li>
 <li>
 Experience developing accessible technologies.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 The AI and Infrastructure team is redefining what&rsquo;s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
 
 
 We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 </li>
 <li>
 Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer III, AI/ML, Google Cloud

Chubb

<div>
 
 
 About Chubb
 
 
 
 Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&amp;P 500 index. Chubb employs approximately 43,000 people worldwide. Additional information can be found at: www.chubb.com.
 
 
 
 About Chubb India
 
 
 
 At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work&reg; for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow.
 
 
 With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.
 
 
 We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.
 
 
 
 Role Overview -
 
 Chubb is looking for an Data Science/AI Engineer to join our fast-paced, high-energy team responsible for delivering bleeding edge solutions leveraging AI. This position offers the opportunity to be part of our AI engineering team in delivering high quality AI products.
 
 
 
 
 
 
 Major Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Work closely with team of data scientists to design, build, and test machine learning models to solve complex business challenges
 </li>
 <li>
 Researching &amp; implementing state of the art modeling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning etc
 </li>
 <li>
 Ensure high quality code that meets business objectives, quality standards and secure web development guidelines
 </li>
 <li>
 Building reusable tools to streamline the modeling pipeline and sharing knowledge
 </li>
 <li>
 Manage project stakeholder expectations and issue communications on progress
 </li>
 <li>
 React to shifting priorities without compromising deadlines and momentum
 </li>
 </ul>
 
 
 
 
 
 .
 
 
 
 
 Minimum Requirements and Qualificatio
 
 
 
 
 
 <ul>
 <li>
 4 - 11 years&rsquo; experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python
 </li>
 <li>
 Experience with LLM tooling and frameworks like LangChain, LlamaIndex etc.
 </li>
 <li>
 Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
 </li>
 <li>
 Experience with designing scalable end-to-end Machine Learning/NLP systems.
 </li>
 <li>
 Experience on distributed, high throughput and low latency architecture.
 </li>
 <li>
 Understanding of NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc.
 </li>
 <li>
 Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn
 </li>
 <li>
 Familiarity with Continuous Integration tools such as Jenki
 </li>
 </ul>
 
 
 
 
 
 Why Chubb
 
 
 <ul>
 <li>
 Join Chubb to be part of a leading global insurance company!
 </li>
 <li>
 Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results
 </li>
 <li>
 
 Industry leade
 
 r: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence
 </li>
 <li>
 
 Great Place to wor
 
 k: Chubb India has been recognized as a Great Place to Work&reg; for the years 2023-2024 and 2024-2025
 </li>
 <li>
 
 Laser focus on excelle
 
 nce: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results
 </li>
 <li>
 
 Start-Up Cult
 
 ure: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter
 </li>
 <li>
 
 Growth and succ
 
 ess: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment
 </li>
 </ul>
 
 
 
 
 
 Employee Benefits
 
 
 
 Our company offers a comprehensive benefits package designed to support our employees&rsquo; health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include
 
 <ul>
 <li>
 Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances
 </li>
 <li>
 Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs
 </li>
 <li>
 Health and Welfare Benefits: We care about our employees&rsquo; well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits
 </li>
 </ul>
 
 
</div>

AI/ML Enginner

Scouto AI

<div>
 We're looking for a
 
 confident, self-driven Technical Recruiter
 
 to help support a growing Quantum Computing Company and their AI teams. You'll own end-to-end hiring for niche technical roles, partner closely with technical stakeholders, and deliver a great candidate experience in a fast-paced, innovation-driven environment. We care most about the right attitude &mdash; proactive, polished, easy to work with, and credible on AI fundamentals.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Own end-to-end recruitment across Quantum Computing, AI/ML, GenAI, software engineering, and research roles
 </li>
 <li>
 Partner with VPs, hiring managers, tech leads, and founders to understand role requirements and team goals
 </li>
 <li>
 Source across LinkedIn, Naukri, Indeed, GitHub, research communities, referrals, and niche platforms
 </li>
 <li>
 Screen and assess candidates for capability and cultural/personality fit through structured interviews
 </li>
 <li>
 Coordinate interview loops, feedback, and hiring decisions
 </li>
 <li>
 Drive offer management and salary negotiations aligned with market benchmarks
 </li>
 <li>
 Build and maintain talent pipelines for critical and future-ready roles
 </li>
 <li>
 Track recruitment metrics, maintain ATS hygiene, and share hiring insights with stakeholders
 
 
 </li>
 </ul>
 Ideal Profile
 
 
 <ul>
 <li>
 2&ndash;3 years of recruiting experience, ideally in a fast-paced IT, tech, startup, or product environment
 </li>
 <li>
 Confident, self-driven go-getter &mdash; takes initiative and gets things done without hand-holding
 </li>
 <li>
 Professional and polished, with excellent communication and relationship-building skills
 </li>
 <li>
 Collaborative and aligned &mdash; works well with the team and moves in step with the company's direction
 </li>
 <li>
 Credible on AI fundamentals (deep technical expertise not required)
 </li>
 <li>
 Candidates who have done BE/ B.Tech as graduation with MBA as masters is preferred
 </li>
 <li>
 Experience hiring for AI/ML, GenAI, data science, or software engineering roles preferred
 </li>
 <li>
 Hands-on sourcing across LinkedIn, Naukri, Indeed, and modern platforms
 </li>
 <li>
 Comfortable with ATS tools, data, and hiring metrics; able to manage multiple roles under tight timelines
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Prior experience recruiting for Quantum Computing, deep tech, or research roles
 </li>
 <li>
 Exposure to global hiring and diversity-focused sourcing
 </li>
 <li>
 Startup or scale-up experience
 
 
 </li>
 </ul>
 Skills: Hiring,Data,ML,Artificial Intelligence,research,metrics,quantum computing
</div>

Tech Recruiter - AI Aware

Roku

<div>
 Teamwork makes the stream work.
 
 &nbsp;
 
 
 Roku is changing how the world watches TV
 
 
 Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
 
 
 From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
 
 
 &nbsp;
 
 
 About the team
 
 
 The Talent Acquisition team at Roku partners closely with business leaders, PBPs, and cross-functional stakeholders to deliver an exceptional, inclusive candidate experience and high-quality hires that advance Roku&rsquo;s goals of being the world&rsquo;s best TV streaming platform. We operate with a &ldquo;One Team&rdquo; mindset and a bias for action&mdash;leveraging data, market insights, and scalable processes to enable fast, informed decisions across the end-to-end recruiting lifecycle.
 
 
 &nbsp;
 
 
 About the role
 
 
 As a Recruiter at Roku, you&rsquo;ll own full-cycle recruiting across assigned functions and locations, acting as a consultative partner and trusted advisor to hiring teams. You&rsquo;ll combine business acumen, market intelligence, and creative sourcing to deliver diverse, high-caliber pipelines; ensure accurate, compliant process execution; and provide a consistently positive candidate and hiring manager experience. You&rsquo;ll influence interviewing strategy and hiring decisions using data-backed insights, while maintaining impeccable data integrity across our tools and workflows.
 
 
 &nbsp;
 
 
 What you&rsquo;ll be doing
 
 <ul>
 <li>
 Partner with hiring managers to define role requirements, interview plans, and decision criteria; provide timely, data-driven updates and recommendations throughout the search.
 </li>
 <li>
 Build and manage diverse candidate pipelines using multi-channel strategies (inbound, outbound, referrals), tailoring messaging and approach to market conditions and team needs.
 </li>
 <li>
 Drive end-to-end process excellence: screening, interview orchestration, debrief facilitation, offer proposal inputs, and pre-boarding handoffs&mdash;while ensuring compliance and a consistently great candidate experience.
 </li>
 <li>
 Maintain rigorous data integrity across recruiting systems; document relevant details promptly and accurately; surface workflow, technology, and data issues with proposed solutions.
 </li>
 <li>
 Analyze market, product, and geographic trends to inform outreach, campaigns, and location guidance; leverage insights to influence hiring strategy and expectations.
 </li>
 <li>
 Use metrics and insights to advise stakeholders, anticipate needs, and optimize pace, cadence, and conversion throughout the funnel; share best practices across TA.
 </li>
 <li>
 Champion Roku Success Factors in every interaction, demonstrating bias for action, comfort with ambiguity, and a pragmatic, problem solving mindset.
 </li>
 <li>
 Collaborate across TA and cross-functional partners, proactively sharing pipeline, knowledge, trends, and best practices; contribute to team projects and improvements.
 </li>
 </ul>
 
 &nbsp;
 
 
 We&rsquo;re excited if you have
 
 <ul>
 <li>
 Full-cycle recruiting experience in product companies with ownership across sourcing, stakeholder management, and closing.
 </li>
 <li>
 Consultative partnership skills with demonstrated ability to influence interviewing and hiring decisions using data and market insights.
 </li>
 <li>
 Proven ability to build and convert diverse pipelines using modern tools (LinkedIn Recruiter, talent communities, campaigns) and tailored outreach across multiple channels.
 </li>
 <li>
 Strong business acumen; can connect team goals to Roku&rsquo;s broader strategy and adjust approaches based on business cycles and market conditions.
 </li>
 <li>
 Impeccable process and data discipline; fluency with recruiting systems and compliance practices; habit of documenting the most relevant data promptly and accurately.
 </li>
 <li>
 Bias for action, comfort with ambiguity, and resourceful problem solving that exemplify Roku&rsquo;s Success Factors in a fast-moving environment.
 </li>
 <li>
 AI literacy and curiosity: you&rsquo;ve either tried GenAI in your work or outside of work, or are actively exploring it and its applications in recruiting.
 </li>
 <li>
 Commitment to inclusive, culturally neutral language and practices that attract a broad, diverse talent pool.
 </li>
 </ul>
 
 &nbsp;
 
 
 
 
 &nbsp;
 
 
 Our Hybrid Work Approach
 
 
 Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
 
 
 &nbsp;
 
 
 Benefits
 
 
 Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
 
 
 &nbsp;
 
 
 Accommodations
 
 
 Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
 
 
 &nbsp;
 
 
 The Roku Culture
 
 
 Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
 
 
 We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
 
 
 To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
 
 
 By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
 
</div>

Recruiter - Fixed Term

Explore 7+ Ai engineer in Mangaluru this July. Find roles across top companies and apply now to boost your career.