40 Aiml Engineering Jobs

As a part of the Beghou team, you will be involved in designing, developing, and deploying AI solutions specifically tailored to pharmaceutical clients. Your collaboration with cross-functional teams, including data scientists, business consultants, and software developers, will be crucial in translating complex life sciences challenges into AI-driven innovations. Key Responsibilities: - Design and implement AI/ML pipelines to address real-world problems in life sciences such as territory alignment, rep scheduling, patient segmentation, and incentive compensation optimization. - Work closely with domain consultants to understand client requirements and develop customized AI solutions. - Lead...

As a skilled and motivated Data Scientist with a strong background in backend development and AI/ML engineering, your role will involve developing and implementing machine learning models, collaborating with various teams to create scalable AI-driven solutions, and utilizing Python and object-oriented programming to build efficient ML pipelines. You will work with popular ML frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development and testing. Additionally, you will integrate AI/ML models into applications via RESTful APIs, manage containerized services using Docker, and follow best practices in version control and software development lifecycles. You will also contribu...

As a Solution Architect AI/ML & Cloud, you will play a crucial role in designing and implementing scalable enterprise-grade solutions with your strong hands-on expertise in AI/ML, Big Data, and Cloud-native architectures. Your responsibilities will include: - Designing and Architecting scalable AI/ML and data-driven solutions on cloud or Kubernetes (on-prem and cloud). - Building pipeline architecture for data processing, deployment, and model delivery. - Managing stakeholders across business and operations to ensure alignment with solution objectives. - Collaborating with IT teams to integrate enterprise applications into the solution ecosystem. - Working closely with developers to operatio...

Role Overview: As a Senior Full Stack Engineer at Firefly Engineering, you will play a crucial role in designing and building delightful, AI-powered experiences from end-to-end. You will work across UI, backend, and AI orchestration layers, connecting Firefly models, LLMs, and creative tooling into seamless, high-impact customer workflows. This role offers you the opportunity to be at the intersection of creativity, engineering craftsmanship, and applied AI, shaping the future of generative creativity. Key Responsibilities: - Build world-class, performant, and scalable UI/UX experiences using React, TypeScript, and modern frameworks. - Design, develop, and maintain backend microservices that...

As an AI/ML Ops Engineer at our company, you will play a crucial role in designing, developing, and deploying AI/ML models to enhance anomaly detection, incident prediction, and root cause analysis. Your responsibilities will include integrating AIOps solutions with various monitoring tools, collaborating with cross-functional teams to identify automation opportunities, and building scalable data pipelines for processing diverse data sources. Additionally, you will implement NLP techniques for log analysis, apply advanced analytics for predictive modeling, and contribute to the development of actionable operational insights through dashboards and visualizations. Key Responsibilities: - Desig...

Role Overview: As a Machine Learning Software Engineer II at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML team, you will be part of a dynamic and growing team in a fast-paced and challenging area. Your primary focus will be on building production-grade ML services, developing end-to-end data pipelines, and integrating them into the overall inference architecture. You will have the opportunity to work with traditional AI/ML techniques as well as GenAI, making a direct impact on global business. Key Responsibilities: - Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements. - Develop, and deploy state-of-the...

Role Overview: XenonStack is a leading Data and AI Foundry specializing in Agentic Systems, dedicated to providing real-time and intelligent business insights. As an Agent Architect, you will play a crucial role in designing and leading the architecture of multi-agent systems, facilitating the adoption of Agentic AI at an enterprise scale. Your responsibilities will extend beyond traditional software or ML architecture, focusing on creating reliable, adaptive, and compliant AI agents. Key Responsibilities: - Architecture Design: - Define blueprints for agent workflows, encompassing reasoning loops, tool integration, memory systems, and multi-agent orchestration. - Architect scalable, modular...

Role Overview: You will be responsible for identifying open-source or licensed models based on use cases and aligning them with available MSIL infrastructure. Additionally, you will proactively assess the need for additional infrastructure and prepare a business case for procurement. Your role will involve designing and executing fine-tuning pipelines using industry standard techniques to adapt models to domain-specific enterprise data. You will focus on tasks such as natural language understanding, code generation, and query augmentation for various programming languages. Furthermore, you will handle data preparation by cleaning, anonymizing, and preprocessing large-scale organizational dat...

Job Description Role Overview As a Data Research Engineer at Forbes Advisor, you will be part of the Data Extraction Team responsible for designing, implementing, and overseeing advanced web scraping frameworks. Your primary role will involve developing methods to leverage the potential of Language Model (LLM) and Artificial Intelligence (AI) within the team. You will play a crucial role in creating and refining tools to efficiently gather precise and meaningful data from various digital platforms. Additionally, you will be responsible for constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes to ensure data availability for analysis and utilization. Key...

As an AI and Python Engineer at our company, you will play a crucial role in designing, developing, and deploying innovative phone integration solutions for our Agentic AI platform in the health insurance sector. Your responsibilities will include building intelligent agents on an IVR system to streamline member interactions, automate workflows, and enhance overall member experience. To excel in this role, you should possess deep expertise in agentic AI, robust software engineering skills, and a solid understanding of healthcare data standards. Key Responsibilities: - **Design and Development**: Architect and build agentic AI systems and workflows using Python and frameworks like LangChain, ...

As a Senior AI/ML Engineer at Regeneron, you will be an integral part of the team, focusing on hands-on engineering and development work to drive the creation and implementation of artificial intelligence solutions in various research and development projects. Your responsibilities will include: - Designing, developing, and deploying AI models, algorithms, and solutions for analyzing complex biological and pharmaceutical data. - Collaborating with multi-functional teams to identify AI opportunities and contribute to project goals and requirements. - Creating and maintaining machine learning models, developing advanced algorithms for tasks like image analysis and natural language processing. ...

As the Manager AI/ML Engineering at Coschool, you will play a crucial role in revolutionizing learning with AI by leading and scaling our AI initiatives to shape the future of intelligent learning systems. Here's what you can expect in this role: **Role Overview:** Join Coschool in building a next-gen EdTech platform that empowers educators and students to achieve their best through AI-driven solutions. **Key Responsibilities:** - Lead and mentor a high-performing team of AI/ML engineers. - Research, prototype, and develop robust ML models, including deep learning and GenAI solutions. - Oversee the full AI/ML project lifecycle from data preprocessing to deployment and monitoring. - Guide the...

Role Overview: As a Generative AI Specialist with 6-8 years of experience in AI/ML engineering, data processing, and LLM Models, your primary responsibility will be to design, deploy, and optimize AI agents using Large Language Models (LLMs) and complementary tools. A strong background in AI Engineering and MLOps is crucial for this role. Key Responsibilities: - Architect and develop advanced AI agents utilizing LLMs and other Generative AI technologies to automate and enhance supply chain processes. - Fine-tune LLMs for specific industry use cases, including instruction tuning, embeddings, and vector database integration. Take ownership of one or more modules. - Write efficient, clean, and ...

As a data science enthusiast with a deep understanding of analytical principles, tools, and technologies, you'll play a crucial role in conveying insights to both executive and non-technical audiences. Your responsibilities will include: - Developing complex analytical models that integrate data from multiple sources to provide a comprehensive view of the business. - Utilizing advanced SQL, Alteryx, Tableau, and Python programming skills for tasks such as multivariate statistics, quantitative modeling, and advanced analytical methods like supervised/unsupervised machine learning and NLP. - Conducting data discovery and analytics to extract insights that enhance existing financial products an...

As a Technical Architect, you will play a pivotal role in defining, designing, and overseeing the technical architecture of projects while maintaining strong hands-on coding capabilities. You will work across Frontend, Backend, DevOps, and Data Engineering domains, ensuring best practices, scalability, and efficiency in all solutions. Additionally, you will act as a mentor, guiding engineers at different levels while staying current with emerging technologies including AI/ML and LLM stacks. Key Responsibilities: - Define technical architecture and lead design discussions for scalable, secure, and high-performance applications - Provide hands-on coding and technical expertise across the full ...

You will be joining a dynamic and growing team in a fast-paced and challenging area, where you will have the unique opportunity to apply your skills and have a direct impact on global business. Your role as an Applied AI ML Senior Associate at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML team will involve working as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable manner. **Key Responsibilities:** - Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements. - Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI soluti...

As a Machine Learning Researcher specializing in security at Arkose Labs, you will apply your expertise in machine learning and cybersecurity to develop innovative solutions to detect, prevent, and respond to security threats and fraud. You will conduct independent research, collaborate with cross-functional teams, and stay abreast of the latest advancements in the field. - Develop and implement ML and deep learning models to detect and mitigate security threats. - Developing new product features using statistical/machine learning-based algorithms to identify bot and fraud traffic. - Conduct data cleaning, preprocessing, and exploratory data analysis. Apply statistical methods to analyze sec...

You will be responsible for conducting live technical training sessions during the night shift (7:00 PM - 4:00 AM IST) tailored to beginner and intermediate learners. As an IT Technical Trainer at Radiance Technologies, you will have the opportunity to design and deliver curriculum modules in various IT disciplines such as Software Engineering, Full Stack Development, Data Analytics, DevOps, and AI/ML Engineering. Your role will involve providing hands-on coding demonstrations, guiding students through real-world project-based learning, and assisting trainees with assignments and portfolio development. You will also be evaluating and tracking trainee progress, staying updated with industry t...

Role Overview: As the AI Solutions Manager, you will play a pivotal role in shaping and delivering cutting-edge AI & Generative AI solutions for clients. Leveraging your expertise in data science, AI/ML & Gen AI, combined with your organizational skills, you will lead the design and delivery of innovative AI solutions to meet clients" unique needs. This role requires a strong blend of AI/ML engineering, strategic solutioning, and client engagement skills. Key Responsibilities: - Possess extensive expertise in data science and AI/ML, with a track record of implementing innovative solutions using statistical modeling, machine learning techniques, and Generative AI - Actively engage with client...

As a part of the team at Beghou Consulting, you will be involved in designing, developing, and deploying AI solutions customized for pharmaceutical clients. Your role will entail collaborating with cross-functional teams, including data scientists, business consultants, and software developers, to transform intricate life sciences challenges into AI-driven innovations. Key Responsibilities: - Design and implement AI/ML pipelines to address real-world challenges in life sciences, such as territory alignment, rep scheduling, patient segmentation, and incentive compensation optimization. - Collaborate closely with domain consultants to comprehend client requirements and create personalized AI s...

Role Overview: You are a visionary AI/ML Engineering Lead who will drive the creation of a next-generation platform at H&R Block. This role offers you the opportunity to build an AI/ML ecosystem from scratch, tackle real-world business challenges, and shape a long-term initiative that revolutionizes the company's operations. Key Responsibilities: - Lead the design and implementation of an enterprise-grade AI/ML platform that drives innovation across the company. - Solve complex business challenges by leveraging advanced machine learning, knowledge representation, and automation at scale. - Oversee the full lifecycle of AI systems, from data ingestion to model training, deployment, and contin...

As a skilled and motivated Data Scientist with a strong background in backend development and AI/ML engineering, you will be responsible for developing, implementing, and expanding machine learning solutions using Python and modern ML frameworks. Your key responsibilities will include: - Developing and implementing machine learning models, such as Large Language Models (LLMs). - Collaborating with various teams to create scalable AI-driven solutions using sound software engineering principles. - Utilizing Python and object-oriented programming to build efficient, maintainable, and production-grade ML pipelines. - Working with popular ML frameworks like TensorFlow, PyTorch, and Scikit-learn f...

Role Overview: You are an experienced and visionary Associate Lead AI/ML Engineer joining a fast-growing E-commerce team. Your role requires technical mastery and deep knowledge across AI/ML domains to design scalable, secure ML systems for real-world applications. In addition to contributing as a hands-on expert, you will help shape the AI strategy, mentor team members, and collaborate closely with stakeholders across technology and business functions. Key Responsibilities: - Architect, build, and deploy end-to-end ML systems at scale on cloud platforms such as AWS, GCP, and Azure. - Lead the technical design and evaluation of ML models and MLOps frameworks, ensuring alignment with business...

Role Overview: You will play a crucial role in identifying and incubating cutting-edge AI technologies that align with the strategic goals of the company. Your responsibilities will include enhancing capabilities in data-driven decision-making, defining and promoting best practices in AI model development and deployment, and ensuring seamless integration of innovative AI solutions into existing frameworks tailored to meet the unique demands of the pharmaceutical industry. Your contribution will advance healthcare through technology, ultimately improving patient outcomes and driving business success. Key Responsibilities: - Understand complex and critical business problems, formulate integrat...

As an experienced consulting professional in the field of Data Science or AI/ML Engineering, you will be responsible for understanding solutions, industry best practices, and implementing Oracle products and technology to meet customer needs. You will operate independently to deliver high-quality work products to engagements, applying Oracle methodology, company procedures, and leading practices. **Key Responsibilities:** - Lead end-to-end AI/ML solution design and production deployment - Specialize in Generative AI, LLMs, NLP, and AI agent development - Expertise in Python and modern ML/NLP frameworks such as HuggingFace, LangChain, PyTorch, TensorFlow - Fine-tune LLMs for domain-specific a...