159 Ml Models Jobs - Page 2

You will be joining GlobalLogic to work on a significant software project for a world-class company specializing in M2M / IoT 4G/5G modules for industries like automotive, healthcare, and logistics. Your role will involve contributing to the development of end-user modules" firmware, implementing new features, ensuring compatibility with the latest telecommunication and industry standards, and analyzing customer requirements to provide estimations. - Design end-to-end AI/ML architecture and solutions in alignment with business objectives - Lead the development and deployment of ML models using frameworks like TensorFlow, PyTorch, or Scikit-learn - Architect scalable data pipelines for traini...

As a Senior Engineering Manager, Machine Learning at Adobe, your role involves leading a high-impact team dedicated to building and deploying brand-new ML solutions. You will guide the team through the full lifecycle of machine learning projects, collaborate with various teams to innovate custom products, and contribute to the ML strategy on the Genuine Engineering team. **Key Responsibilities:** - Lead, mentor, and grow a team of ML engineers to develop and deploy pioneering ML models. - Own the end-to-end execution of ML projects, from research and prototyping to production deployment. - Collaborate with product teams to identify AI/ML opportunities and define technical roadmaps. - Ensure ...

Welcome to Warner Bros. Discovery the stuff dreams are made of. Who We Are When we say, the stuff dreams are made of, we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you c...

Role & responsibilities Define & Implement Product Knowledge Strategy Own the roadmap for taxonomy, ontology, structured data, and knowledge graph initiatives, aligning with AI/ML and Product teams. Drive AI-Powered Taxonomy & Ontology Development Partner with data scientists, engineers, and analysts to build, test, and scale ML-driven classification, entity resolution, and knowledge graph models. Improve Search & Product Discovery Ensure our structured product data directly improves search relevance, filtering, and recommendation algorithms. Develop & Enforce Data Standards – Lead governance for taxonomy updates, structured metadata, and attribute standardization, ensuring a scalable and ac...

Role Overview: Cowbell is leading the way in cyber insurance by utilizing technology and data to provide small and medium-sized enterprises (SMEs) with early detection of cyber risk exposures paired with flexible cyber insurance coverage that can adapt to present and future threats. Embracing adaptive insurance, Cowbell closely monitors policyholders" cyber risk exposures as they change through ongoing risk assessment and underwriting. With its innovative AI-driven approach to risk selection and pricing, Cowbell's underwriting platform, powered by Cowbell Factors, streamlines the insurance process from submission to issuance in less than 5 minutes. Key Responsibilities: - Design and implemen...

As a Data Scientist and GenAI Expert at SAP Customer Success Services team- BTP Delivery@Scale, you will be responsible for developing ML models for customer-specific business scenarios. Your role will involve leveraging AI/ML technologies to build or enhance applications that support business objectives, ultimately leading to improved efficiency and reduced errors over time in business processes. Key Responsibilities: - Develop ML models tailored to meet customer-specific business requirements - Utilize AI and ML technologies to enhance the efficiency of business processes - Collaborate with the team to implement solutions that bring added value to customers Qualifications Required: - B.E./...

In this role at Agoda, you will be leading the team technically to enhance the scalability, stability, accuracy, speed, and efficiency of the existing ML systems and processes. You will be responsible for building, administering, and scaling ML processing pipelines. You should be comfortable working with technologies such as Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3, etc. Additionally, you should have a good understanding of ML models like LightGBM, Random Forest, CNN, Regression models, etc. Your responsibilities will include designing, building, testing, and deploying new libraries, frameworks, or full systems for the core systems while maintaining high standards of te...

Role Overview: As a Data Scientist at the company, you will utilize advanced mathematical, statistical, and analytical expertise to research, collect, analyze, and interpret large datasets from internal and external sources. Your main responsibilities will include building and testing predictive models, developing innovative portfolio surveillance solutions, implementing creative automation solutions, and bringing actionable insights to all areas of the business. Your role will involve leveraging decision science methodologies and advanced data visualization techniques to develop data-driven solutions. Key Responsibilities: - Utilize advanced mathematical, statistical, and analytical experti...

Role Overview: As a Machine Learning Lead at the product-based e-Commerce company in Bangalore, you will be responsible for creating simple solutions to complex problems in engineering tasks related to data processing, ML models, search capabilities, API design, and A/B testing. If you enjoy challenges and excel at handling complexity, this role is for you. Key Responsibilities: - Design, deliver, and maintain significant features in data pipelines, ML processing, and service infrastructure - Optimize software performance to achieve required throughput and latency - Collaborate with managers, peers, and Product Managers to scope projects and features - Develop a technical strategy considerin...

You will be responsible for designing and building a world-class cloud platform to assist enterprises in monitoring and analyzing their ML models, including predictive models, LLM, and Generative models. Your key responsibilities will include: - Designing enterprise-grade, scalable APIs and frameworks to execute analysis and validation of customers" ML models and workflows - Developing new metrics and evaluation methods to assess the quality and robustness of ML models - Collaborating with product and customer-facing teams to enhance and expand the product - Recommending and implementing engineering best practices, enhancing existing software functionality, and ensuring software design, appl...

As an AI/ML Engineer, your role will involve designing, validating, and integrating cutting-edge machine learning models and algorithms. You will collaborate closely with cross-functional teams, including data scientists, to recognize and establish project objectives. Your responsibilities will also include overseeing data infrastructure maintenance to ensure streamlined and scalable data operations. It is crucial for you to stay updated with advancements in AI and propose their integration for operational enhancement. Additionally, you will be required to effectively convey detailed data insights to non-technical stakeholders and uphold stringent data privacy and security protocols. Your in...

Responsibilities Design, build, and test ETL processes using Python and SQL Develop Python scripts to extract information from different data sources for business analytics Build and maintain high-performance, reusable, and reliable Java/Python code Create secure RESTful-based web services using XML, JSON, JavaScript, and jQuery Work on data pipelines and data-centric applications using distributed storage platforms Implement process automation using Python, VBA, and appropriate technologies Collaborate with senior developers to implement Python code Design, develop, and integrate Java services using the Spring Boot framework Build and deploy ML models using Python on platforms like SageMake...

Job Role Overview: We are seeking an experienced Generative AI Solution Architect to join our team. This role requires a deep understanding of AI/ML models, especially generative AI technologies like GPT, DALL•E, Stable Diffusion, etc. The ideal candidate will be responsible for designing, developing, and deploying AI-driven solutions that leverage generative models to solve complex business challenges. You will work closely with cross-functional teams to align AI strategies with business objectives and drive innovation. Key Responsibilities: Strategic AI Solution Design: Collaborate with business leaders and product managers to understand business requirements, pain points, and opportunitie...

Role: Senior AI Engineer Job Location : Bangalore, Coimbatore Employment Type: Full time, on-site Experience: 2-5 years in full-stack development with exposure to AI tools/ frameworks About Company At TechGenzi, we develop products and innovative solutions catering to the needs of the industries serving the global market. We innovate and collaborate to serve the customer towards improving the productivity and efficiency through our automation solutions. You can take pride to be a part of the organization where diversity, equity and inclusion are shared values. Were committed to fostering an environment that is inclusive, respectful, load of opportunities for personal and professional growth,...

About the role- As an AI Engineer , you will be responsible for building and optimizing AI-first solutions that power BotPenguins conversational and Agentic capabilities. You will work on LLM integrations, NLP pipelines, and machine learning models, while collaborating with cross-functional teams to deliver intelligent experiences at scale. This is a high-impact role that combines engineering, research, and deployment skills to solve real-world problems using artificial intelligence. What you need for this role- Education: Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. Experience: 2-5 years of experience working in AI/ML ...

As a Senior Data Visualization Lead for the franchise critical metrics and controls application, your role will involve creating enterprise impacting insights and metrics. One of your key responsibilities will be to work with the ROCK-controls Command center, a component of Olympus data fabric, to provide a centralized platform for various data controls. This is a great opportunity to be part of a fast-paced, forward-looking technology organization. **Key Responsibilities:** - Establish data visualization standards and explore new tools to enhance visualization capabilities - Scope projects, evaluate project plans for feasibility, and monitor progress - Possess excellent communication and in...

Role Overview: You will be joining UKG as a Project Manager for CX PRO Suite TSS Organization, responsible for planning and driving IT projects in the field of Human Capital Management. Your role will involve creating project plans, executing projects, and supporting various operational reporting tasks. You will collaborate with cross-functional teams and stakeholders to ensure successful project delivery. Additionally, you will be expected to leverage project management tools and effectively communicate ideas across all levels of the organization. Key Responsibilities: - Collaborate with project sponsors, managers, and cross-functional teams to develop project scope, deliverables, resources...

Mine and analyze data, applying statistical methods as necessary, pertaining to customers discovery and viewing experiences to identify critical product insights Translate analytic insights into concrete, actionable recommendations for business or product improvement Partner closely with product and engineering leaders throughout the lifecycle of project Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization Requirements: Good knowledge of advanced statistical methods...

Mine and analyze data, applying statistical methods as necessary, pertaining to customers discovery and viewing experiences to identify critical product insights Translate analytic insights into concrete, actionable recommendations for business or product improvement Partner closely with product and engineering leaders throughout the lifecycle of project Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization Requirements: Good knowledge of advanced statistical methods...

As a Data Scientist specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), you will play a crucial role in designing, fine-tuning, and deploying cutting-edge open-source and API-based LLMs to address real-world challenges. Your primary focus will be on creating robust GenAI pipelines, innovative internal tools, and engaging client-facing applications. - Fine-tune and optimize open-source LLMs for specific business domains - Construct and manage RAG pipelines using tools like LangChain, FAISS, and ChromaDB - Develop LLM-powered APIs for diverse applications such as chat, Q&A, summarization, and classification - Design effective prompt templates and implement chain...

In this role as a Senior Engineer AI & Edge Product Development, you will be responsible for designing, developing, integrating, and optimizing advanced technology components within AI and computer vision-based product lines. Your key responsibilities will include: - Developing core software modules for edge and server environments, including system services, APIs, and AI integration layers. - Participating in designing end-to-end architecture involving AI/CV models, sensor integration, and multi-platform deployment. - Integrating AI/ML models into production pipelines and optimizing runtime performance and memory utilization for inference on edge devices such as GPU, TPU, and ARM platforms....

As an Artificial Intelligence Specialist at Gen AI, your role involves driving customer conversations to explore Gen AI opportunities. You will need to understand specific customer requirements and design acceptable Gen AI solution architectures tailored to their needs. Additionally, you will be responsible for creating customer proposals and responding to RFPs. Guiding solution engineers in developing Gen AI POCs and solutions for various industry verticals is also a key aspect of your role. Your proactive approach to problem-solving is vital as you drive topics to resolution with a focus on quality, speed, reliability, and efficiency. Staying updated on the latest technology advancements a...

In this role at PwC, you will be responsible for utilizing advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making. Your primary focus will be on data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. **Key Responsibilities:** - Develop and execute project & analysis plans under the guidance of the Project Manager - Interact with and advise consultants/clients in the US as a subject matter expert to formalize data sources, datasets, and data clarifications needed for data and business problem understanding - Drive and Conduct analysis using advanced analytics tools and mentor junio...

Role Summary: This job involvesmanaging the day to day delivery of AI ML team, which will be responsible forbuilding, deploying and maintaining robust, scalable, and efficient ML models EssentialResponsibilities Lead and mentor team of data engineers, MLOps engineers, and machine learning engineers, to achieve project objectives & deliverables (development and deployment of ML models for AI use cases across the platform) Collaborate with business, engineering, infrastructure and data science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning models for batch and real-time requirements Primary point of contact for US & Thryve leader...

We are seeking a Sr. Data Engineer to join our Data Engineering team within our Enterprise Data Insights organization to build data solutions, design and implement ETL/ELT processes and manage our data platform to enable our cross functional stakeholders. As a part of our Corporate Engineering division, our vision is to spearhead technology and data-led solutions and experiences to drive growth & innovation at scale. The ideal candidate will have a strong Data Engineering background, advanced Python knowledge and experience with cloud services and SQL/NoSQL databases. You will work closely with our cross functional stakeholders in Product, Finance and GTM along with Business and Enterprise T...