1560 Mlops Jobs - Page 25

As an AI & Software Engineer in the Artificial Intelligence & Development team, you will play a crucial role in contributing to the future of the Energy Transformation industry. You will collaborate with teams to implement and adapt AI algorithms across various projects such as document understanding, predictive maintenance, defect detection by computer vision, control, and robotics. Your responsibilities will include developing and integrating software components for AI applications, testing software components according to customer and technical requirements, verifying and validating AI software applications, and supporting the scale-up and deployment of AI applications. You will also be i...

Role Overview: You will be a part of the Data and Analytics (D&A) team at EY as a Senior Data Scientist. With a minimum of 3-7 years of experience in Data Science and Machine Learning, you will be involved in developing and implementing AI solutions, particularly focusing on NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. Your role will be crucial in leveraging your technical expertise to contribute to cutting-edge AI models and systems. Responsibilities: - Contribute to the design and implementation of state-of-the-art AI solutions. - Assist in the development and implementation of AI models and systems, utilizing techniques such as Language Models (L...

As a Senior Data Scientist at AuxoAI, you will have the opportunity to lead the design, deployment, and scaling of production-grade ML systems, focusing on AI, machine learning engineering (MLE), and generative AI. Your role will involve a combination of cutting-edge research and production rigor, where you will be responsible for mentoring while building impactful AI applications. Key Responsibilities: - Own the full ML lifecycle, including model design, training, evaluation, and deployment - Design production-ready ML pipelines integrating CI/CD, testing, monitoring, and drift detection - Fine-tune Large Language Models (LLMs) and implement retrieval-augmented generation (RAG) pipelines - ...

You will be responsible for the following key roles: - AI/ML Developer (2-3 years experience): - Develop, fine-tune, and deploy AI/ML models. - Senior AI/ML Developer (5-7 years experience): - Lead AI/ML projects, optimize large-scale models, and mentor junior developers. Qualifications required for the role include: - B.Tech / M.Tech in Computer Science, AI, or related fields. - AI/ML Developer: - 2-3 years of experience in AI/ML development, strong in Python, TensorFlow/PyTorch, data engineering. - Senior AI/ML Developer: - 5-7 years of experience with expertise in LMs, deep learning, scalable architectures, and performance optimization. - Experience with MLOps tools MLflow, Kubeflow, Dock...

As a Tech Lead - AI at Carelon Global Solutions India, your role will involve overseeing the strategic planning, supervision, and management of AI technology initiatives within the lab environment. You will be accountable for leading a team, managing the lifecycle of ideas, and diagnosing problems to ensure successful development and implementation of innovative solutions. Additionally, you will be responsible for storytelling, document preparation, and content creation to ensure clear communication and alignment with technical language and goals. **Key Responsibilities:** - Shape the labs AI agenda aligned with emerging trends and business priorities. - Identify and evaluate AI frameworks, ...

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Role Overview: You will engineer, ship, and operate AI powered services and APIs in production. The focus is on Python, API development, robust deployment practices, and end to end MLOps/DevOps on AWS/Azure. You'll partner with data, ML, and platform teams to move models and AI capabilities from notebooks to reliable, secure, scalable servic...

Role Overview: As a Data Scientist, your main responsibility will be to manipulate and preprocess structured and unstructured data to prepare datasets for analysis and model training. You will utilize Python libraries such as PyTorch, Pandas, and NumPy for data analysis, model development, and implementation. Additionally, you will fine-tune large language models (LLMs) to meet specific use cases and enterprise requirements. Collaboration with cross-functional teams to experiment with AI/ML models and iterate quickly on prototypes will also be a key part of your role. You will optimize workflows to ensure fast experimentation and deployment of models to production environments. Implementing ...

Seeking candidate with strong math & geometry foundation, applied AI/ML experience, hands-on Python & SQL skills, creative problem-solving, plus familiarity with AWS & test-driven development.

We are seeking a skilled and experienced Machine Learning Engineer to join our team.The ideal candidate will have a strong background in Python and PyTorch, along with 4-8 years of experience deploying ML/AI models to production. This role requires excellent analytics skills and a good working knowledge of Databricks. You will work closely with data scientists, clinicians, software engineers, and product teams to design, build, and optimize scalable machine learning solutions. Role & responsibilities Develop, train, and optimize machine learning models using PyTorch and other ML frameworks. Deploy and maintain ML models in production environments, ensuring scalability, performance, and relia...

Role & responsibilities Machine Learning Engineer / MLOps Engineer - Remote Focus: Productionize models and build scalable, automated ML pipelines. What You Get to Do Every Day (Responsibilities) • Convert data science prototypes into production-ready, scalable models and services • Develop and maintain automated CI/CD pipelines for model training, testing, deployment, and rollback. • Implement monitoring, logging, and alerting systems to track model performance, drift, and data anomalies in production. • Manage model versioning, reproducibility, and containerization (e.g., Docker, Kubernetes). Requirements: • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a ...

Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence docum...

Role: Data Science & MLOps Experience: 5 - 6 Years Relevant Experience in Data Science with MLOps : 5+ Years Notice Period: Immediate Joiners Only Location: Pune/ Bamgalore Role & responsibilities : Must have Skills - Strong programming skills in Python, Statistical model, Time series Model, Core Model, AI, ML/Classification & Regression Key accountabilities: As a Data Scientist, you will be accountable for: Collaborating with specialized teams to understand operational needs and translating them into data science problem statements. Exploring structured and unstructured data to extract patterns and build models. Selecting relevant machine learning techniques through iterative experimentatio...

Job Title : Data Scientist - AI Integration & Orchestration. Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Es...

AI Architect Agentic AI Platform Role Overview We are seeking an experienced AI Solution Architect to lead the design and development of an Agentic AI platform for the Mortgage Industry. The ideal candidate will combine deep technical expertise in AI/ML and LLMOps with strong domain knowledge in financial services, mortgage processes, and regulatory compliance. This role requires defining the multi-agent orchestration framework, integration strategy, and ensuring scalability, security, and reliability of the platform. Location: Hyderabad (Preferred)/ Remote Experience: 12+ Years Key Responsibilities Architect end-to-end Agentic AI ecosystem for mortgage workflows (KYC, credit scoring, risk e...

Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence docum...

Your Role: As the Agentic and Generative AI Infrastructure Lead, you will architect and manage the foundational infrastructure that powers enterprise-scale AI innovation. This role is central to enabling the secure, scalable, and cost-effective deployment of Agentic AI workloads across multi-tenant and multi-service environments. You will be responsible for orchestrating the technical backbone that supports AI agents as they interact with APIs, core data systems, and hybrid cloud environments - including legacy and third-party platforms. With a strategic builders mindset, you will lead the design and implementation of infrastructure that supports the full AI lifecycle - from development and ...

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovativ...

Salary : 40 to 55 LPA Exp: 8 to 12 years Location :Gurugram Hybrid Notice: Immediate to 30 days..!! Roles & responsibilities: 7+ years exp on Python , ML and model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 8+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine le...

JD (needs bifurcation): DevOps Engineer with expertise in Python and Kubernetes to design and manage scalable infrastructure using tools like KEDA, Grafana, and Karpenter. The role focuses on GPU-accelerated workloads and CI/CD pipelines, with a nice-to-have knowledge of AI/ML deployment. 2 Positions Key Responsibilities Deploy and manage Kubernetes clusters, using Karpenter for node autoscaling. Implement event-driven scaling with KEDA for dynamic workloads. Build Grafana dashboards for monitoring with Prometheus integration. Optimize GPU resources in Kubernetes for compute-intensive tasks. Develop Python scripts for automation, IaC, and CI/CD pipelines. Manage containerized deployments wit...

As a Software Engineer specializing in AI/ML, you will play a crucial role in designing and implementing robust applications and scalable systems, integrating machine learning models into production environments. Your expertise will be utilized across the full engineering stack, from backend services and APIs to ML pipelines and deployment. **Key Responsibilities:** - **Software Engineering:** - Design, develop, and maintain high-quality backend services and APIs. - Write clean, efficient, and testable code in Python, Java, or similar languages. - Build scalable, cloud-native systems (AWS/GCP/Azure). - Implement CI/CD pipelines, containerization (Docker/Kubernetes), and monitoring. - Ensure ...

As a Lead AI & Cloud Architect at Texas Instruments, your primary responsibility will be to design and implement highly scalable data & AI systems, optimize MLOps pipelines, and drive cloud modernization initiatives. You will collaborate with cross-functional teams to develop and scale enterprise AI solutions across on-premise, private cloud, and secure public cloud platforms. Key Responsibilities: - Define and implement AI and Data apps & Agents in a hybrid cloud architecture strategy aligned with business objectives. - Develop automation and abstractions for various Infrastructure, applications, data & AI governance frameworks, and automated AI workflows. - Lead cloud transformation projec...

As an experienced AI Architect, your role will involve leading the design, development, and deployment of large-scale AI solutions. You will be responsible for bridging the gap between business requirements and technical implementation, with a focus on generative AI and modern MLOps practices. Key Responsibilities: - Architect end-to-end AI systems utilizing large language models and generative AI technologies - Design scalable, production-ready AI applications that align with business objectives and performance requirements - Evaluate and integrate LLM APIs from leading providers such as OpenAI, Anthropic Claude, and Google Gemini - Establish best practices for prompt engineering, model sel...

As a Tech Lead - AI at Carelon Global Solutions India, you will play a crucial role in overseeing the strategic planning, supervision, and management of AI technology initiatives within the lab environment. Your responsibilities will include leading a team, managing the lifecycle of ideas, and diagnosing problems to ensure successful development and implementation of innovative solutions. **Key Responsibilities:** - Shape the lab's AI agenda aligned with emerging trends and business priorities. - Identify and evaluate AI frameworks, tools, and platforms for rapid prototyping and scaled adoption. - Translate business ideas into AI-powered solutions using appropriate algorithms (ML, NLP, CV, e...

**Role Overview:** You are being sought after to join Attri's team as a Senior Backend Engineer. In this role, you will play a crucial part in enhancing the system architecture, ensuring seamless integration of various tech stacks, and facilitating the company's transition to the next phase. Attri is a rapidly growing AI company aiming to make agentic AI accessible to individuals solving real-world problems. **Key Responsibilities:** - Act as the liaison between the engineering and product teams, understanding the long-term product roadmap, and crafting a system design that aligns with future plans. - Translate product insights into detailed engineering requirements and oversee the developme...

As a Data Scientist specializing in Generative AI, you will be responsible for the following: - Utilizing your 3+ years of experience in Data Science to work on generative AI, agentic AI, LLMs, and NLP. - Demonstrating hands-on expertise with RAG pipelines, knowledge graphs, and prompt engineering. - Applying your skills in Azure AI tools such as Azure OpenAI, Cognitive Services, and Azure ML. - Leveraging your experience with LangChain, Agentic AI frameworks, and orchestration tools. - Proficiency in utilizing Hugging Face for model building and fine-tuning. - Demonstrating strong Python development skills specifically tailored for AI applications. - Working with vector databases, embedding...