13 Ml Lifecycle Jobs

As a Senior Product Manager at Brahma, a pioneering enterprise AI company, you will be responsible for driving the development and execution of ML-powered products for creating high-fidelity audiovisual artificial content. Your role will involve bridging the intersection of business strategy, user experience, and technical innovation to deliver cutting-edge generative AI solutions. **Key Responsibilities:** - **Product Strategy & Vision** - Define and communicate product vision, strategy, and roadmap aligning with business objectives. - Identify market opportunities to leverage core ML capabilities. - Establish and track success metrics and KPIs. - Translate technical ML concepts into clear ...

At Paladin Tech, you will be working on AI-powered products that convert complex data into actionable insights. The company's solutions include deepfake detection, video and image analytics, big data intelligence, and real-time decision support systems. The organization is dedicated to assisting businesses in enhancing security, validating authenticity, and achieving measurable outcomes by applying cutting-edge AI, ML, and Big Data Analytics strategically. **Key Responsibilities:** - **Team Leadership & Development:** Lead, mentor, and expand a high-performing team of Full Stack and AI/ML engineers. Encourage ownership, innovation, and continuous improvement through coaching and performance ...

Job Description Page 1 of 3 Job Description Corporate Planning And Management (CPM) Transformation Leader Location: Bengaluru, India Summary: Own a multi-year, cross-functional AI transformation spanning control, finance, risk and related operations, and our global capability centres. You will build global connectivity, curate and prioritize an enterprise AI portfolio, evaluate synergies, and translate opportunities into scalable roadmaps and execution plans. Partner closely with product, engineering, technology, and operations to deliver measurable value while ensuring transparency, compliance, and responsible AI. Key Responsibilities Portfolio leadership and opportunity sourcing Proactivel...

AuxoAI is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications. Location: Mumbai/Bengaluru/Hyderabad/ Gurgaon (Hybrid) Responsibilities: * Own the full ML lifecycle: model design, training, evaluation, deployment Design production-ready ML pipelines with CI/CD, testing, monitoring, and dri...

As a Corporate Planning And Management (CPM) Transformation Leader at our company, you will be responsible for owning a multi-year, cross-functional AI transformation initiative that spans control, finance, risk, and related operations, as well as our global capability centers. Your role will involve building global connectivity, curating and prioritizing an enterprise AI portfolio, evaluating synergies, and translating opportunities into scalable roadmaps and execution plans. You will collaborate closely with product, engineering, technology, and operations teams to deliver measurable value while ensuring transparency, compliance, and responsible AI practices. **Key Responsibilities:** - Pr...

Job Description Develop and deliver robust machine learning solutions addressing diverse business challenges (forecasting, classification, optimization, automation) on the Azure Databricks platform. Own the full ML lifecycle: model development, deployment, monitoring, and retraining supported by standardized infrastructure and DevOps practices. Apply strong mathematical and problem-solving skills to translate complex business requirements into effective ML models. Collaborate with Product Owners, data engineers, DevOps, and architecture teams to build scalable, maintainable, and governed ML pipelines. Demonstrate curiosity and an iterative mindset, exploring alternative modeling approaches t...

Brahma is a pioneering enterprise AI company developing Astras, AI-native products built to help enterprises and creators innovate at scale. Brahma enables teams to break creative bottlenecks, accelerate storytelling, and deliver standout content with speed and efficiency. Part of the DNEG Group, Brahma brings together Hollywoods leading creative technologists, innovators in AI and Generative AI, and thought leaders in the ethical creation of AI content. The Senior Product Manager will drive the development and execution of ML-powered products for creating high-fidelity audiovisual artificial content, bridging the intersection of business strategy, user experience, and technical innovation. ...

As a Machine Learning Operations Engineer at Expedia Group, you will be part of a dynamic team that focuses on building robust machine learning pipelines to process vast amounts of data efficiently. Your role will involve collaborating with Machine Learning Science experts to leverage AI/ML technologies in transforming Expedia's data assets into intelligent insights for various applications used by market managers, analysts, supply partners, and travelers. Your responsibilities will include working in a cross-functional team to design and develop large-scale batch and real-time data pipelines on AWS, prototyping creative solutions, and participating in code reviews to ensure code quality. Yo...

As an Associate Manager of Machine Learning Services, your primary responsibility will be to collaborate effectively with Product, Services, Engineering, and Data Science teams to develop and deliver AI products. You will be required to engage with both internal and external stakeholders to comprehend use cases and provide guidance on suitable solutions. Additionally, you will need to adeptly translate intricate technical concepts into understandable terms for non-technical stakeholders. Your daily tasks will encompass a variety of activities such as data annotation, AI quality monitoring, and KPIs monitoring. You will also play a crucial role in training the team on AI-specific configuratio...

Service Cloud by Salesforce is a revolutionary customer service platform designed to transform your business's approach to customer support. It empowers your team to deliver efficient, personalized customer service experiences across multiple channels, all in one unified platform. With Service Cloud, you can streamline workflows, automate routine tasks, and leverage AI-powered insights to drive customer satisfaction and loyalty. Whether it's faster case resolution, 360-degree customer views, or real-time analytics, Service Cloud is your key to unlocking exceptional customer service. Join our dynamic team at Salesforce and make a real impact with your work! We're looking for passionate indivi...

Job Summary: UPS Enterprise Data Analytics team is looking for a talented and motivated Data Scientist to use statistical modelling, state of the art AI tools and techniques to solve complex and large-scale business problems for UPS operations. This role would also support debugging and enhancing existing AI applications in close collaboration with the Machine Learning Operations team. This position will work with multiple stakeholders across different levels of the organization to understand the business problem, develop and help implement robust and scalable solutions. You will be in a high visibility position with the opportunity to interact with the senior leadership to bring forth innov...

Role Summary As a member of the Data Science Center of Expertise (DSCOE), the DS Lead Analyst is responsible for leading and enabling Data Science within Cigna Group with demonstrable aptitude in Data Science (i) Technical Skills (ii) Leadership (iii) Scope & Impact (iv) Influence. Please see Qualifications section below for more details. The role will support the development and maintenance of machine learning models, with a focus on ensuring that models meet Cigna s requirements for governance and legal compliance. The role will require collaboration with other data scientists and involve work across many lines of business. Key Responsibilities: Analyze model performance of new models with...

Role Summary: The AI/ML Platform Engineering Lead is a pivotal leadership role responsible for managing the day-to-day operations and development of the AI/ML platform team. In this role, you will guide the team in designing, building, and maintaining scalable platforms, while collaborating with other engineering and data science teams to ensure successful model deployment and lifecycle management. You can apply directly using the link below: https://jobs.lever.co/welocalize/628f87a7-4edd-4b4f-b440-3b602aa4dadc Key Responsibilities: Lead and manage a team of platform engineers in developing and maintaining robust AI/ML platforms. Define and implement best practices for machine learning infra...