machine learning engineer

Votary Softech Solutions Pvt. Ltd.

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 Skills &amp; Experience:
 
 
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 Strong programming skills in C, C++, and Python.
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 Experience with Dash, Android development, and network programming.
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 Good understanding of operating system concepts and software architecture.
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 Key Responsibilities:
 
 
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 Design, develop, and test Data ML modules, frameworks, and applications.
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 Collaborate with cross-functional teams to deliver high-quality software solutions.
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 Analyze, debug, and optimize system performance and reliability.
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 Prepare technical documentation and communicate effectively with stakeholders.
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 Education Requirements:
 
 
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 B.Tech/M.Tech in Computer Science, Information Science, Electronics, or a related field.
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Machine Learning Engineer

Artech L.L.C.

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 GenAI / AI-ML Engineer
 
 
 
 
 
 We are hiring experienced professionals in Generative AI and Machine Learning for cutting-edge AI-driven projects.
 
 
 
 
 
 
 Required Skills:
 
 
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 Generative AI (GenAI)
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 Artificial Intelligence / Machine Learning (AI/ML)
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 Strong proficiency in Python
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 MLOps (model deployment, monitoring, and lifecycle management)
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 Experience with model training, fine-tuning, and optimization
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 Familiarity with frameworks such as TensorFlow / PyTorch (preferred)
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 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.
 
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AI ML engineer

Chubb

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 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
 
 
 
 
 
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 Work closely with team of data scientists to design, build, and test machine learning models to solve complex business challenges
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 Researching &amp; implementing state of the art modeling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning etc
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 Ensure high quality code that meets business objectives, quality standards and secure web development guidelines
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 Building reusable tools to streamline the modeling pipeline and sharing knowledge
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 Manage project stakeholder expectations and issue communications on progress
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 React to shifting priorities without compromising deadlines and momentum
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 .
 
 
 
 
 Minimum Requirements and Qualificatio
 
 
 
 
 
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 4 - 11 years&rsquo; experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python
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 Experience with LLM tooling and frameworks like LangChain, LlamaIndex etc.
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 Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
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 Experience with designing scalable end-to-end Machine Learning/NLP systems.
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 Experience on distributed, high throughput and low latency architecture.
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 Understanding of NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc.
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 Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn
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 Familiarity with Continuous Integration tools such as Jenki
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 Why Chubb
 
 
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 Join Chubb to be part of a leading global insurance company!
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 Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results
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 Industry leade
 
 r: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence
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 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
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 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
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 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
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 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
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 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
 
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 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
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 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
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 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
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AI/ML Enginner

Accenture in India

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 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.
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AI / ML Engineer

Google

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 Minimum qualifications:
 
 
 
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 Bachelor&rsquo;s degree or equivalent practical experience.
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 2 years of experience programming in Python or C++.
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 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.
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 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
 
 
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 Preferred qualifications:
 
 
 
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 Master's degree or PhD in Computer Science or related technical fields.
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 2 years of experience with data structures or algorithms.
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 Experience developing accessible technologies.
 
 
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 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
 
 
 
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 Write product or system development code.
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 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,)
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 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
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 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.
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 Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
 
 
 
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 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

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
 
 
 
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 Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems.
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 Integrate model training, evaluation, deployment, and monitoring into product workflows
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 Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools.
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 Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.
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 Benchmark models, develop evaluation frameworks, and improve reliability and auditability.
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 Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments.
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 Work across the stack&mdash;from backend systems to product SDKs&mdash;to deliver AI features directly into user-facing applications.
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 Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind.
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 Own critical product components and take responsibility for delivering robust, production-grade features.
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 Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems.
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 Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement.
 
 
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 Qualifications
 
 
 
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 BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience.
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 Strong software engineering background with proven experience shipping production systems.
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 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions.
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 Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC.
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 Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API.
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 Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems.
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 Experience building and scaling backend platforms, APIs, and microservices.
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 Comfortable working full-stack, from model APIs down to user-facing integrations.
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 Have shipped AI features that users actually use; production experience over theoretical knowledge.
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 Track record of building reliable products with strong attention to detail and usability.
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 Autonomous and excited about taking ownership over major initiatives.
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 Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle.
 
 
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 Bonus Points
 
 
 
 
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 Production experience with LLMs (APIs or custom implementations) at meaningful scale.
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 Experience building agentic systems or LLM-enabled products.
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 Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks.
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 Experience with performance optimization and high-scale document indexing systems.
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 Prior startup experience, grit, and ability to thrive in fast-moving environments.
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 Familiarity with databases and comfortable writing SQL queries.
 
 
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 Perks
 
 
 
 
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 Competitive Compensation
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 Unlimited PTO
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 Hybrid working model (3 days in office)
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 AI Assistants for work (Coding, General Purpose, etc.)
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</div>

Software Engineer - AI Platform (India)