Top Machine Learning Jobs in Bengaluru, KA

Seeking an experienced Senior Embedded Software Engineer with expertise in AI development on edge devices. Responsible for software architecture design, machine learning fundamentals, and implementing algorithms in C++ on DSP architectures. Must have 7+ years of software development experience. Good to have experience with NN based applications and deep learning frameworks like TensorFlow or PyTorch.

Build enterprise-grade Cloud infrastructure, automate GCP tasks and Kubernetes deployments, resolve support tickets, design scalable microservices deployments, provision networking, participate in on-call support, and be a dynamic technical resource in a startup environment.

Arista Networks is seeking an Application Development Engineer (ADE) with 5-8 years of experience to design machine learning systems, apply statistical analysis and machine learning techniques, develop machine learning applications, and collaborate with cross-functional teams to implement data-driven solutions.

Associate Technical Architect AI/ML with 7-12 years of experience, specializing in designing, developing, and deploying AI/ML applications. Strong analytical skills and experience with various AI/ML algorithms, DL/CV techniques, and NLP. Hands-on experience with Python, R, and various AI/ML frameworks and libraries. Excellent communication and stakeholder interaction skills. Nice-to-have skills include pre-sales experience, visualization tools, cloud platforms, distributed training, and advanced image processing.

Join Bazaarvoice as a Senior Machine Learning Engineer to develop AI/ML driven solutions that create business value and delight customers. Responsibilities include applying state-of-the-art techniques, automating processes, mentoring junior engineers, and collaborating with cross-functional teams.

Lead Architect position at Lilly focused on machine learning to extract value from data, prepare NLT platforms, and demonstrate insights from data to business users. Responsibilities include designing language systems, adopting NLG algorithms, and ensuring ML model performance and uptime.

Join Aviatrix Systems India as a Staff Software Engineer specializing in Machine Learning and Artificial Intelligence. Develop and optimize AI log detector/analyzer, customize ML models, integrate AI solutions, and stay updated with AI/ML technologies.

Design and develop robust backend systems supporting the ML lifecycle, contribute to scalable ML platforms, build frameworks and tools for active learning, collaborate with cross-functional teams, maintain and improve ML systems, and stay updated on ML technologies.

Canonical is hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business using open source capabilities on public and private cloud infrastructure, Linux, and Kubernetes. The role involves working with enterprise customers to solve real-world problems and enable the adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC, and related technologies.

Design and develop AI/ML algorithms for enterprise cybersecurity risk modeling, data-mining, and graph analysis. Build production quality solutions, participate in the engineering life-cycle, and drive the usage of open source ML libraries.

Seeking an Optimization Specialist with expertise in classical and advanced optimization methods to drive operational efficiency and strategic decision-making using mathematical and statistical techniques. Responsibilities include identifying and solving optimization problems, designing algorithms, collaborating with stakeholders, and staying updated on latest advancements in optimization and computational intelligence.

Lead the implementation of cutting-edge ML infrastructure, provide technical leadership to a team of ML engineers, collaborate with data scientists, architect and execute model deployment strategies, engineer CI/CD pipelines, define and refine performance benchmarks, and stay updated with industry trends and emerging technologies.

Senior Machine Learning Engineer responsible for building scalable end-to-end data science solutions for data products. Collaborates with data engineers and analysts to implement ML-driven data quality workflows. Develops and scales advanced ML algorithms on large datasets. Manages MLOps lifecycle and consults with stakeholders for solution deployment. Stay updated with industry best practices and drive innovation.

Collaborate with data scientists and machine learning engineers to build backend systems, design and implement APIs, optimize backend infrastructure, and maintain CI/CD pipelines for automated testing and deployment. Requires 5+ years of experience in commercial software development with strong analytical skills and familiarity with microservice architecture.

The ML Engineer will be responsible for conceptualizing, designing, and implementing ML models for dynamic pricing strategies and personalized product recommendations. They will work on data pipelines, develop and deploy machine learning models, and collaborate with cross-functional teams to align solutions with strategic objectives.

As a Staff Machine Learning Engineer, you will play a crucial role in bridging the gap between data science and production, ensuring the seamless integration and deployment of machine learning models into operational systems. Responsibilities include model deployment, infrastructure design, CI/CD implementation, model monitoring, data management, security compliance, documentation, collaboration, and communication.

Conceive, research, and prototype new parallel and distributed computing algorithms and frameworks with a focus on artificial intelligence. Develop relevant software and hardware technologies for products at Intel Labs. Collaborate with academic and industry partners and contribute to scientific literature and research community.