36 Mlops Practices Jobs - Page 2

You are an experienced AI/ML Architect with over 8 years of hands-on AI/ML architecture experience, looking to join our team as a key member of the COE department. With a Ph.D. or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related fields, you will be responsible for leading the design and implementation of AI/ML solutions across various industry domains. Your role will involve acting as a trusted advisor to clients, understanding their business challenges, and developing scalable AI/ML strategies aligned with their vision. Your primary responsibilities will include engaging with enterprise customers and stakeholders to gather business requirements, translating challenges into effective AI/ML solutions, and designing end-to-end ML pipelines. You will collaborate with data engineers, scientists, and business SMEs to operationalize AI/ML solutions, present technical insights to diverse audiences, and lead POCs, pilots, and full-scale implementations. Staying updated on the latest trends in AI/ML, you will contribute to proposal development, technical documentation, and pre-sales engagements. To qualify for this role, you must possess a Ph.D. or Masters degree in relevant fields, along with deep knowledge of machine learning algorithms, NLP, computer vision, and deep learning frameworks. Experience with cloud AI/ML services, strong communication skills, and a proven track record of delivering AI solutions are essential. Familiarity with MLOps practices and tools is a plus. Preferred skills include experience in building GenAI or Agentic AI applications, knowledge of data governance and ethics in AI, and the ability to lead cross-functional teams while mentoring junior data scientists/engineers. Publications or contributions to AI/ML research communities are preferred but not mandatory.,

As a NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team based in Noida, working on cutting-edge technologies to revolutionize the insurance claims processing industry. We are a California-based InsurTech company with a strong focus on innovation and digital transformation in the Property and Casualty sector. You must have a minimum of 2 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques to be considered for this role. We are looking for individuals who are passionate about deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines efficiently. Your main responsibilities will include building and deploying NLP and GenAI-driven products focusing on document understanding, summarization, classification, and retrieval. You will be designing and implementing models using LLMs such as GPT, T5, and BERT, along with working on scalable, cloud-based pipelines for training, serving, and monitoring models. Collaboration is key at Gigaforce, and you will work closely with cross-functional teams including data scientists, ML engineers, product managers, and developers. Additionally, you will contribute to open-source tools and frameworks in the ML ecosystem, deploying production-ready solutions using MLOps practices, and working on distributed/cloud systems with GPU-accelerated workflows. To be successful in this role, you should have a strong grasp of traditional ML algorithms, NLP fundamentals, and modern NLP & GenAI models. Proficiency in Python, experience with cloud platforms like AWS SageMaker, GCP, or Azure ML, and familiarity with MLOps tools and distributed computing are essential. Experience with document processing pipelines and understanding insurance-related documents is a plus. If you are looking for a challenging role where you can lead the design, development, and deployment of innovative AI/ML solutions in the insurance industry, then this position at Gigaforce is the perfect opportunity for you. Join us in our mission to transform the claims lifecycle into an intelligent, end-to-end digital experience.,

As an Associate Project Manager specializing in AI/ML, you will leverage your 8+ years of experience, including 3+ years in project management, to lead and oversee the successful delivery of AI/ML projects. You will play a pivotal role in managing cross-functional teams, steering complex software projects, and spearheading AI/ML initiatives from inception to deployment. Your expertise will encompass a blend of project management proficiency and technical knowledge in machine learning systems, data pipelines, and model lifecycle management. Your responsibilities will include project planning, tracking, and execution, utilizing methodologies such as Agile, Scrum, and SDLC/Waterfall. You will demonstrate your ability to juggle multiple projects and stakeholders across both business and technical domains, while also showcasing your skills in budgeting, vendor negotiation, and resource planning. Proficiency in tools like MS Project, Excel, PowerPoint, ServiceNow, SmartSheet, and Lucidchart will be essential for effective project management. Technical exposure in AI/ML is a must-have for this role, encompassing familiarity with the AI/ML project lifecycle, ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), and data platforms (e.g., Azure ML, AWS SageMaker, Databricks). You will be well-versed in MLOps practices, model versioning, and CI/CD pipelines for ML, collaborating closely with data scientists, ML engineers, and DevOps teams to deliver innovative AI/ML solutions. Your ability to translate business challenges into AI/ML use cases and efficiently manage delivery timelines will be paramount. In addition to your technical acumen, you will exhibit strong leadership qualities, effective decision-making skills, and impeccable organizational abilities. Your excellent communication and stakeholder management aptitudes will enable you to influence and secure buy-in from executive sponsors and cross-functional teams. Building and nurturing relationships with business leaders and technical stakeholders will be crucial for the success of AI/ML projects under your purview. Your roles and responsibilities will include leading AI/ML and software development projects end-to-end, collaborating with data science and engineering teams to define project scope and deliverables, and maintaining detailed project plans aligned with business objectives. You will monitor progress, mitigate risks, ensure timely delivery of AI/ML models and software components, and facilitate alignment between business, data, and engineering stakeholders. Tracking project metrics, ROI, and model performance post-deployment, while ensuring compliance with data governance, security, and ethical AI standards, will be integral to your responsibilities. Continuous improvement in project execution and delivery frameworks, staying abreast of AI/ML trends, and contributing to strategic planning for future initiatives will be key aspects of your role as an Associate Project Manager in AI/ML.,

As the Head of Product for our client in the Technology, Information and Media industry based in Mumbai, you will be responsible for leading AI/ML and enterprise analytics initiatives. This role requires a strategic product leader with at least 8 years of experience and a strong technical background. Your main focus will be on developing AI-first solutions that revolutionize how businesses utilize data, by leveraging cutting-edge technologies such as large language models, generative AI, and real-time data intelligence. Your responsibilities will include defining and evolving the product strategy for AI/ML-powered tools, translating customer needs into product opportunities, and integrating frontier technologies into a cohesive product vision. You will lead the ideation, scoping, and launch of ML-driven features, collaborate with cross-functional teams, and drive customer-centricity through iterative feedback loops and product analytics. Additionally, you will mentor a product team, build internal alignment, and act as a thought leader both internally and externally. To excel in this role, you should have a Masters or PhD in Computer Science, Data Science, Machine Learning, or a related field, along with 8-12 years of experience in AI/ML, advanced analytics, or enterprise-grade data science platforms. You should possess a strong grasp of ML/NLP models, GenAI/LLM stacks, and experience working with scalable architectures. Furthermore, you should have 5+ years of product management experience, including 2+ years in a leadership role, with a proven track record of shipping AI-first B2B or enterprise products. Your business and communication skills should be exceptional, with the ability to tell compelling product stories, align stakeholders around a data-driven narrative, and translate technical outputs into user value and commercial impact. Experience with MLOps platforms, growth-stage startups, enterprise SaaS companies, and global data privacy frameworks would be considered a bonus. If you are passionate about innovation, execution, and impact, and have a strong background in AI/ML and product management, this is an exciting opportunity for you to lead transformative AI initiatives and make a significant difference in the world of analytics and enterprise solutions.,

Are you excited about contributing to the development of cutting-edge AI systems that are set to revolutionize cloud infrastructure operations At Oracle Cloud Infrastructure (OCI), we are dedicated to reimagining operations for the enterprise cloud, and we are currently seeking ML Engineers to spearhead this transformation. OCI stands out as a hyperscale cloud platform where operations play a crucial role in ensuring customer success. To ensure the scalability and competitiveness of OCI, there is a pressing need to automate incident detection, diagnosis, and resolution by pushing the boundaries of AI and GenAI in cloud operations. Join our team to collaborate on building intelligent AI solutions that proactively manage cloud environments, enhance operational excellence, and provide customers with a world-class experience. If you are enthusiastic about tackling complex technical challenges and influencing the evolution of autonomous cloud technology, this opportunity is perfect for you. Responsibilities will include leading the development of AI agents tailored for cloud operations, designing and implementing tools and frameworks to support AI agent development, assessing agent performance across operational scenarios, innovating meta prompting techniques, integrating advanced LLM technologies into OCI systems, collaborating across teams, engaging with customers to validate solutions, and providing technical leadership and mentorship. The ideal candidate should have a minimum of 5 years of overall experience with at least 2 years in machine learning engineering, expertise in large language models, transformers, and GenAI technologies, experience in prompt engineering, the ability to optimize AI agent performance in real-world environments, proficiency in Python and ML frameworks like PyTorch or TensorFlow, knowledge of MLOps practices, problem-solving skills, strong communication abilities, and a degree in Computer Science, Machine Learning, or a related field. Preferred qualifications include experience in building AI assistants for enterprise applications, familiarity with multi-agent systems, reinforcement learning, or autonomous decision-making frameworks, knowledge of LLM fine-tuning, RAG, or vector database integration, a background in cloud operations or infrastructure monitoring, exposure to Oracle Cloud Infrastructure or other major cloud platforms, and contributions to open-source ML projects or publications in ML, NLP, or AI agent systems. By joining our team, you will have the opportunity to work on designing AI Agents and the infrastructure supporting them, shape the future of AI-powered cloud operations at Oracle, engage with cutting-edge AI technologies to solve real-world challenges, collaborate with a talented team, and enjoy competitive compensation, benefits, and career growth opportunities.,

You will be joining our innovative EdTech team as an experienced AI/ML Content Developer. Your primary responsibility will be to create cutting-edge educational content in the field of artificial intelligence and machine learning. You will play a key role in developing comprehensive courses that cover a wide range of AI/ML domains, starting from foundational machine learning concepts to advanced generative AI and agentic AI systems. This position presents an exciting opportunity for you to influence how the next generation of AI practitioners learn and apply these transformative technologies. In this role, your tasks will include designing and developing comprehensive courses across AI/ML domains such as machine learning, natural language processing, computer vision, generative AI, and agentic AI systems. You will create diverse content formats, including hands-on labs, interactive exercises, assessments, and project-based learning modules. Additionally, you will structure learning paths that logically progress from foundational concepts to advanced AI applications. You will also develop practical coding exercises and real-world implementation scenarios using industry-standard tools and frameworks. Ensuring the quality and industry relevance of the content will be a crucial aspect of your role. You will need to ensure that all content reflects current AI/ML best practices and stays aligned with rapidly evolving industry trends. Creating practical, real-world scenarios that simulate actual AI development workflows and challenges will be part of your responsibilities. You will also collaborate with our instructional design team to optimize learning outcomes for complex technical concepts. Furthermore, you will work closely with our platform team to ensure the seamless delivery of AI/ML content and interactive experiences. Continuous iteration and improvement of existing content based on learner feedback and performance metrics will be essential. Staying updated with the latest AI research, tools, and educational methodologies, as well as integrating emerging AI technologies and frameworks into the curriculum as they become industry-relevant, will also be part of your role. For this position, we are looking for candidates with 3+ years of hands-on industry experience in machine learning, AI development, or related technical roles. Essential qualifications include domain expertise in machine learning algorithms, deep learning architectures, and AI system design. Proficiency in Python and core data science libraries, experience with machine learning frameworks like PyTorch and TensorFlow, and expertise in natural language processing techniques are also required. Additionally, strong communication skills, the ability to explain complex AI concepts clearly, and experience in creating technical AI/ML content are essential for this role. Preferred qualifications include an advanced degree (Master's/PhD) in Computer Science, Machine Learning, Data Science, or a related field, published research in AI/ML conferences or journals, experience with reinforcement learning and multi-agent systems, familiarity with AI safety, ethics, and responsible AI development practices, and knowledge of emerging AI architectures and research trends. Background in technical training, workshops, or mentoring in AI/ML domains and an understanding of accessibility standards in educational content are also desirable.,

Are you excited about building cutting-edge AI systems that revolutionize how cloud infrastructure is run At Oracle Cloud Infrastructure (OCI), we're reimagining operations for the enterprise cloud, and we're looking for ML Engineers to drive this transformation. OCI is a hyperscale cloud platform where operations are core to customer success. For OCI to scale and remain competitive, we need to automate incident detection, diagnosis, and resolutionpushing the limits of AI and GenAI in cloud operations. Join us to build intelligent AI solutions that proactively manage cloud environments, boost operational excellence, and deliver a world-class customer experience. If you're passionate about solving deep technical challenges and shaping the next generation of autonomous cloud, this is your moment. Lead AI Agent Development: Drive the end-to-end design and development of AI agents tailored for cloud operations, ensuring scalability, reliability, and alignment with customer needs. Architect and implement tools and frameworks that accelerate AI agent development, experimentation, deployment, and monitoring. Design and execute robust methodologies to evaluate agent performance, safety, and accuracy across diverse operational scenarios. Develop advanced meta prompting techniques to dynamically adapt prompts and maximize LLM utility in varied, real-time operational contexts. Integrate cutting-edge LLM technologies into OCI systems, leveraging fine-tuning, retrieval-augmented generation (RAG), and other advanced techniques. Partner with product, UX, and engineering teams to align technical solutions with business priorities and user experience. Collaborate directly with enterprise customers to gather requirements, validate solutions, and ensure agent effectiveness in production environments. Mentor engineers, establish best practices in AI agent engineering, and contribute to the technical vision and roadmaps. Required Qualifications: - Overall 5+ with 2+ years of experience in machine learning engineering, with hands-on experience in building AI agents and production-grade ML systems. - Proven expertise in large language models (LLMs), transformers, and GenAI technologies. - Demonstrated experience in prompt engineering and developing prompting strategies for LLM-based applications. - Demonstrated ability to evaluate and optimize AI agent performance in real-world, mission-critical environments. - Solid programming skills in Python and practical experience with ML frameworks such as PyTorch or TensorFlow. - Deep understanding of MLOps practices, including model deployment, scalability, observability, and lifecycle management. - Excellent problem-solving skills with a bias for action and execution. - Ability to convince technical leaders and executives. - Strong written and verbal communication skills, including direct collaboration with enterprise customers and cross-org teams. - Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field. Preferred Qualifications: - Experience building AI assistants or conversational agents for enterprise applications. - Experience working with multi-agent systems, reinforcement learning, or autonomous decision-making frameworks. - Familiarity with LLM fine-tuning, RAG (Retrieval-Augmented Generation), or vector database integration. - Background in cloud operations, DevOps, or infrastructure monitoring domains. - Familiarity with Oracle Cloud Infrastructure or other major cloud platforms. - Contributions to open-source ML projects and/or Publications or patents in ML, NLP, or AI agent systems. Why Join Us - Be at the forefront of designing AI Agents and the infrastructure that powers them. - Shape the future of AI-powered cloud operations at Oracle. - Work with cutting-edge AI technologies and solve impactful real-world problems. - Collaborate with a world-class team of engineers, researchers, and product leaders. - Competitive compensation, benefits, and career growth opportunities.,

You are an experienced AI/ML Content Developer who will be joining an innovative EdTech team. Your primary responsibility will involve creating cutting-edge educational content in artificial intelligence and machine learning. This includes developing comprehensive courses covering various AI/ML domains such as machine learning, natural language processing, computer vision, generative AI, and agentic AI systems. Your role will be pivotal in shaping how the next generation of AI practitioners learn and apply these transformative technologies. Your key responsibilities will include designing and developing comprehensive courses, content creation in various formats like hands-on labs, interactive exercises, assessments, and project-based learning modules. You will also be structuring learning paths logically from foundational concepts to advanced AI applications. Practical coding exercises and real-world implementation scenarios using industry-standard tools and frameworks will be a significant part of your role. Ensuring that all content reflects current AI/ML best practices and industry trends will be crucial. You will be creating practical, real-world scenarios that replicate AI development workflows and challenges. Moreover, developing hands-on projects involving model training, fine-tuning, and deployment to provide learners with portfolio-worthy experience will be essential. Collaboration with the instructional design team to optimize learning outcomes for complex technical concepts is also expected. You will work closely with the platform team to ensure the seamless delivery of AI/ML content and interactive experiences. Continuous iteration and improvement of existing content based on learner feedback and performance metrics will be part of your responsibilities. Staying current with the latest AI research, tools, and educational methodologies is necessary. Additionally, integrating emerging AI technologies and frameworks into the curriculum as they become industry-relevant is also expected. To qualify for this role, you should have at least 3+ years of hands-on industry experience in machine learning, AI development, or related technical roles. Domain expertise in machine learning algorithms, deep learning architectures, and AI system design is required. Proficiency in Python and core data science libraries, experience with machine learning frameworks like PyTorch and/or TensorFlow, and expertise in natural language processing techniques are necessary technical skills. Strong communication skills, the ability to explain complex AI concepts clearly, and experience in creating compelling narratives around AI applications and use cases are also essential. Preferred qualifications include an advanced degree (Master's/PhD) in Computer Science, Machine Learning, Data Science, or related fields, published research in AI/ML conferences or journals, experience with reinforcement learning and multi-agent systems, familiarity with AI safety, ethics, and responsible AI development practices, and knowledge of emerging AI architectures and research trends. Background in technical training, workshops, or mentoring in AI/ML domains and understanding of accessibility standards in educational content are also desirable.,

As a Machine Learning Engineer, you will be responsible for designing and implementing end-to-end ML pipelines using GCP services and ETL tools. Your role will involve deploying and maintaining predictive ML models through containerization (Docker) and orchestration (Kubernetes). It is essential to implement MLOps practices, including CI/CD pipelines using Git, to ensure seamless operations. Additionally, creating and maintaining technical architecture diagrams for GCP service implementations will be part of your routine tasks. Your expertise in Machine Learning and Deep Learning concepts will be crucial for this role. Extensive experience with GCP services, particularly AI/ML offerings, is required to excel in this position. Proficiency in MLOps practices and tools is essential, along with hands-on experience in Docker, Kubernetes, and Git. Furthermore, experience in frontend development and API integration will be beneficial for developing frontend applications that integrate with ML and AI backend services. In this role, you will also be responsible for optimizing big data processing workflows and ML model performance. Knowledge of big data processing and analytics is expected, along with the ability to create clear technical documentation and architecture diagrams to ensure effective communication within the team. Preferred qualifications for this position include Google Cloud certifications, experience with AI and GenAI models and applications, and a background in full-stack development. An understanding of microservices architecture, experience with data pipeline optimization, and proficiency in Python, HTML, and JavaScript will further strengthen your candidacy for this role.,

About the Team and Our Scope We are a forward-thinking tech organization within Swiss Re, delivering transformative AI/ML solutions that redefine how businesses operate. Our mission is to build intelligent, secure, and scalable systems that deliver real-time insights, automation, and high-impact user experiences to clients globally. You'll join a high-velocity AI/ML team working closely with product managers, architects, and engineers to create next-gen enterprise-grade solutions. Our team is built on a startup mindset - bias to action, fast iterations, and ruthless focus on value delivery. We're not only shaping the future of AI in business - we're shaping the future of talent. This role is ideal for someone passionate about advanced AI engineering today and curious about evolving into a product leadership role tomorrow. You'll get exposure to customer discovery, roadmap planning, and strategic decision-making alongside your technical contributions. Role Overview As an AI/ML Engineer, you will play a pivotal role in the research, development, and deployment of next-generation GenAI and machine learning solutions . Your scope will go beyond retrieval-augmented generation (RAG) to include areas such as prompt engineering, long-context LLM orchestration, multi-modal model integration (voice, text, image, PDF), and agent-based workflows. You will help assess trade-offs between RAG and context-native strategies, explore hybrid techniques, and build intelligent pipelines that blend structured and unstructured data. You'll work with technologies such as LLMs, vector databases, orchestration frameworks, prompt chaining libraries, and embedding models, embedding intelligence into complex, business-critical systems. This role sits at the intersection of rapid GenAI prototyping and rigorous enterprise deployment, giving you hands-on influence over both the technical stack and the emerging product direction. Key Responsibilities Build Next-Gen GenAI Pipelines : Design, implement, and optimize pipelines across RAG, prompt engineering, long-context input handling, and multi-modal processing. Prototype, Validate, Deploy : Rapidly test ideas through PoCs, validate performance against real-world business use cases, and industrialize successful patterns. Ingest, Enrich, Embed: Construct ingestion workflows including OCR, chunking, embeddings, and indexing into vector databases to unlock unstructured data. Integrate Seamlessly: Embed GenAI services into critical business workflows, balancing scalability, compliance, latency, and observability. Explore Hybrid Strategies: Combine RAG with context-native models, retrieval mechanisms, and agentic reasoning to build robust hybrid architectures. Drive Impact with Product Thinking : Collaborate with product managers and UX designers to shape user-centric solutions and understand business context. Ensure Enterprise-Grade Quality: Deliver solutions that are secure, compliant (e.g., GDPR), explainable, and resilient - especially in regulated environments. What Makes You a Fit Must-Have Technical Expertise Proven experience with GenAI techniques and LLMs , including RAG, long-context inference, prompt tuning, and multi-modal integration. Strong hands-on skills with Python , embedding models, and orchestration libraries (e.g., LangChain, Semantic Kernel, or equivalents). Comfort with MLOps practices , including version control, CI/CD pipelines, model monitoring, and reproducibility. Ability to operate independently, deliver iteratively, and challenge assumptions with data-driven insight. Understanding of vector search optimization and retrieval tuning. Exposure to multi-modal models Nice-To-Have Qualifications Experience building and operating AI systems in regulated industries (e.g., insurance, finance, healthcare). Familiarity with Azure AI ecosystem (e.g., Azure OpenAI, Azure AI Document Intelligence, Azure Cognitive Search) and deployment practices in cloud-native environments. Experience with agentic AI architectures , tools like AutoGen, or prompt chaining frameworks. Familiarity with data privacy and auditability principles in enterprise AI. Bonus: You Think Like a Product Manager While this role is technical at its core, we highly value candidates who are curious about how AI features become products . If you're excited by the idea of influencing roadmaps, shaping requirements, or owning end-to-end value delivery - we'll give you space to grow into it. This is a role where engineering and product are not silos . If you're keen to move in that direction, we'll mentor and support your evolution. Why Join Us You'll be part of a team that's pushing AI/ML into uncharted, high-value territory. We operate with urgency, autonomy, and deep collaboration. You'll prototype fast, deliver often, and see your work shape real-world outcomes - whether in underwriting, claims, or data orchestration. And if you're looking to transition from deep tech to product leadership , this role is a launchpad. Swiss Re is an equal opportunity employer . We celebrate diversity and are committed to creating an inclusive environment for all employees. Keywords: Reference Code: 134317

Role & responsibilities Please Note - This is not a walk in interview only shortlisted candidates will be called. Your key responsibilities Proven ability to design, build, and deploy end-to-end AI/ML systems in production. Expertise in data science , including statistical analysis, experimentation, and data storytelling. Experienced in working with large-scale, real-world datasets for model training and analysis. Comfortable navigating urgency, ambiguity, and fast-changing priorities . Skilled at solving complex ML problems independently , from idea to implementation. Strong leadership experience building and guiding high-performing AI teams . Hands-on with deep learning, NLP, LLMs , and classical ML techniques. Fluent in model experimentation, tuning, optimisation , and evaluation at scale. Solid software engineering background and comfort working with data and full-stack teams . Experience with cloud platforms (GCP, AWS, Azure) and production-grade ML pipelines. Bias for action willing to jump into code, data, or ops to ship impactful AI products . Your skills and experience PhD in Computer Science, Data Science, Machine Learning, AI, or a related field. Strong programming skills in Python (preferred), with experience in Java, Scala, or Go a plus. Deep expertise with ML frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with large-scale datasets , distributed data processing (e.g. Spark, Beam, Airflow). Solid foundation in data science : statistical modeling, A/B testing, time series, and experimentation. Proficient in NLP, deep learning , and working with transformer-based LLMs . Experience with MLOps practices — CI/CD, model serving, monitoring, and lifecycle management. Hands-on with cloud platforms (GCP, AWS, Azure) and tools like Vertex AI, SageMaker, or Databricks. Strong grasp of API design , system integration, and delivering AI features in full-stack products. Comfortable working with SQL/NoSQL , and data warehouses like BigQuery or Snowflake. Familiar with ethical AI, model explainability , and secure, privacy-aware AI development