Top Machine Learning Jobs in Bengaluru, KA
Responsible for architecture, design, and implementation of Hitachi Analytics Infrastructure solutions focusing on AI and ML/DL technologies. Develop solutions, deliver technical presentations, and support Go-To-Market teams. Location: Hyderabad, Bangalore & Pune, India.
Seeking a highly skilled Senior Machine Learning Engineer to lead the development of ML infrastructure and collaborate with diverse teams to deliver impactful solutions. Responsible for architecting and deploying ML models, propelling products to new levels of success.
We are looking for a Rust Engineer to contribute to our groundbreaking Hiveon ASIC Firmware product, revolutionizing the world of ASICs with innovative and game-changing solutions of our firmware.
Develop and implement algorithms and data for artificial intelligence applications including NLP and computer vision. Manage and utilize knowledge in various domains using knowledge expression methods like frames and ontology. Conduct advanced statistical analysis, machine learning, and data mining techniques. Design and develop large-scale software using Python and Java.
As a Software Engineer on our ML Product team, you will be responsible for defining and improving the workflow of our open-source machine learning tools. You will work closely with technical product managers and have hands-on experience in deep learning. Strong communication and software engineering skills are required.
Seeking an MLOps Software Engineer with experience in Kubernetes, DevOps, Automation, and model inferencing architectures. Responsible for developing and maintaining ML inference runtime platform, contributing to upstream inference runtime communities, implementing CI/CD pipelines, and ensuring cybersecurity measures. Requires proficiency in Python, familiarity with various inference libraries, solid understanding of model inferencing architectures, and experience with Agile methodologies and Cloud Computing.
As an Engineering Manager at Turing.com, you will lead a team of talented engineers, drive technical vision and execution of complex projects, and foster a culture of continuous improvement and excellence. Key responsibilities include leading innovation efforts, managing project allocation, optimizing development processes, and identifying high and low performers in teams. Requires strong leadership in Python with Python expertise and experience in Computer Vision (CV) as a plus.
Senior Software Engineer role at Roku focused on building cutting-edge advertising technology using machine learning to improve ad performance. Responsibilities include building ML infrastructure, data analysis, model training, production operations, and collaboration with cross-functional teams. Ideal candidate has a degree in Computer Science or related field, experience in applied machine learning, strong coding skills in Spark, Python, and Java.
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Seeking an experienced AI/ML Engineering Manager to lead a team of developers and data scientists in delivering innovative solutions. Responsibilities include team management, technical expertise in AI/ML, fostering innovation, project management, code reviews, and collaboration with stakeholders. Qualifications include a Bachelor's degree, advanced degree, 6+ years of AI/ML engineering experience, strong programming skills in Python, and proficiency in AI/ML algorithms and frameworks.
Seeking a skilled Senior Software Engineer with expertise in Generative AI and Machine Learning to contribute to cutting-edge projects and solutions. Responsibilities include designing, developing, deploying, and monitoring AI models for text, image, audio, and video. Required skills in Python, Deep Learning, AWS, Azure, and Postgres.
Seeking a Senior Software Engineer II, QE with 6+ years of experience in testing ML models. Responsible for designing test plans, developing automated testing frameworks, analyzing test results, and monitoring model performance post-deployment.
Seeking a talented Senior Generative AI Engineer with experience in developing and training Generative AI models. Responsibilities include implementing advanced machine-learning algorithms and models to enhance the platform's capabilities. Must have proficiency in Python and hands-on experience with machine-learning models.
Looking for a Principal ML Engineer to lead and manage analytics solutions, develop infrastructure for ML models, identify new technologies, mentor a team, and stay updated on advanced analytics trends. Collaborate with stakeholders and data scientists to deliver on-demand analytic services.
The Staff AI Scientist at GE HealthCare will focus on developing and implementing novel machine learning algorithms in the area of LLM to automate clinical tasks using medical images, electronic medical records, waveforms, and clinical reports. Responsibilities also include exploring human feedback for AI learning, prototyping high-performance AI algorithms, developing new deep learning capabilities, and working with large-scale datasets.
Seeking a Senior Data Scientist with expertise in Python, TensorFlow, and deep learning to implement machine learning models and collaborate with product and engineering teams in a leading AI-driven Global Supply Chain Solutions Software Product Company.
Seeking a Senior Applied Scientist / Data Scientist with expertise in machine learning and artificial intelligence to enhance Zscaler's tools and drive innovation. Responsibilities include developing ML models, conducting research in AI technologies, collaborating with teams, analyzing datasets, and staying updated with industry advancements.
Leading architecture, design, and implementation of AI/ML/NLP/Computer Vision and MLOps solutions across various technical teams. Analyzing complex problems and translating them into data science algorithms with a focus on computational efficiency. Working with large data sets and implementing machine learning models. Experience in productionizing ML models in cloud platforms.
Seeking a Senior AI Engineer to develop new AI models and algorithms to solve real-world problems. Responsibilities include designing scalable solutions, working with AI tools, and collaborating with other engineers. Requires 4+ years of experience in Data Science and a degree in Computer Science or related field.
Senior level position as an AI and Machine Learning Engineer requiring 6-10 years of experience. Responsibilities include collaborating with software engineers and business stakeholders to develop AI/ML solutions, integrating cloud-based services, analyzing datasets, deploying applications, and optimizing AI/ML models.
Conduct state-of-the-art research in machine learning and AI systems, focusing on the robustness of multimodal foundation models. Collaborate with a team of researchers to advance natural language and multimodal understanding. Implement optimized solutions on Intel platforms and contribute to product roadmaps.
Lead the design and implementation of data architectures, develop data pipelines, manage databases, oversee data quality and governance, provide mentorship and leadership, collaborate with stakeholders, and monitor performance for a digital banking platform.
Develop and maintain the ASIC Hub application, ensuring seamless communication with devices within the local network. Implement robust TCP/UDP communication protocols to facilitate efficient data exchange. Design and write system monitoring solutions tailored to the unique requirements of the mining industry. Collaborate closely with a team of Go Engineers, sharing knowledge and expertise to drive the project forward. Engage in data-driven development, managing and optimizing the flow of large datasets.
Seeking a dynamic Recruiter with 4+ years of experience in in-house or consulting recruitment supporting diverse business needs. Responsibilities include talent acquisition, candidate relationship management, collaboration with hiring managers, job posting, interviewing and evaluation, and data management. Must have experience in Europe/UK hiring and strong communication skills.
Senior Engineering Manager leading Data, AI, and ML initiatives for a global shipping company. Spearheading the development of innovative data products to drive strategic advantage and operational efficiency. Responsible for strategic planning, research, cross-functional collaboration, and staying updated with Data and AI/ML technologies and trends.
Seeking a Software Engineer specializing in AI/ML at Lilly to design and develop generative AI models, chat bots, and scalable AI solutions. Responsible for end-to-end processes including deployment and maintenance of AI models. Requires a blend of technical and soft skills with a focus on innovation and value delivery.
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