Top Machine Learning Jobs in Hyderabad, TG

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.

The Digital Science Operations, Insights & Data Products Expert at Sanofi will work within the Data Programs and Operations organization, implementing the strategic roadmap and executing Data & Analytics initiatives for Science functions. Responsibilities include partnering with Global Science stakeholders to understand data needs, developing AI and Science data products, and leading the development of advanced AI/ML and analytics data products to advance Science objectives.

Seeking a highly skilled AI Engineer with expertise in artificial intelligence, machine learning, and software engineering to develop, implement, and optimize AI algorithms and systems for enhancing product offerings and improving customer experience.

As a Platform DevOps Engineer at Bristol Myers Squibb in Hyderabad, you will be responsible for owning multiple data platforms, contributing to EDM strategy, optimizing efficiency, integrating technologies, automating platform provisioning in AWS Cloud, and participating in new technology evaluations.

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.

Seeking a dynamic and experienced Engineering Manager to lead the AI & Data Science team at Cyara, driving innovation and development of AI and machine learning solutions to enhance product offerings and improve customer experience.

Develop AI/ML applications and systems using Python and machine learning frameworks. Responsibilities include text interpretation, image classification, model optimization, and predictive modeling. Collaborate with teams to deploy end-to-end AI products. Qualifications include proficiency in Python, TensorFlow, PyTorch, computer vision, image processing, data analysis, deep learning models, and API integration.

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.

The Senior ML Ops Engineer at Roche will be responsible for ensuring the accuracy, performance, and stability of machine learning models used for forecasting and analytics. The role involves continuous monitoring, maintenance, and improvement of ML pipelines and data synchronization processes.

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.

The GenAI Architect at Nisum is responsible for leveraging expertise in AI, Generative AI, LLM, Machine Learning, and data science to guide teams through technical problems and deliver business impact. The role involves a strong focus on scalability, performance, and hands-on implementation of AI solutions in real-world scenarios.

Design and develop innovative ML-powered product capabilities, work through the entire feature lifecycle, collaborate with the team, and contribute to identifying and solving technical challenges around data streams.

Design and implement AI/ML solutions, work with stakeholders to identify business needs, lead implementation of solutions, and ensure success and quality of AI components.

Develop and implement innovative AI methods in the field of biomedical research. Train, test, and evaluate AI models on realistic data, and deliver insights to communicate results effectively. Stay updated on the latest AI developments and manage run time requirements efficiently. Create new AI models from scratch using Python, TensorFlow, and PyTorch.

The Gen AI Engineer will be responsible for developing dashboards, reports, alerts, optimizing data integrations, and leveraging generative AI techniques to solve customer problems and derive insights. They will work closely with various teams to implement optimal solutions and drive impactful outcomes using data engineering and ML expertise.