471 Model Deployment Jobs - Page 4

Deploy and monitor ML models in production. Build CI/CD pipelines and manage infrastructure for scalable AI operations. Deploy and monitor ML models Build CI/CD pipelines for ML workflows Manage model registries and feature stores Ensure system reliability and automate retraining Must have:Docker/Kubernetes, GitHub/GitLab CI, MLflow, model deployment good to have: AIOps tools, automation scripting, feature store management

Job Application Link: https://app.fabrichq.ai/jobs/f61b80fb-a1de-4147-a985-e333b90393ff Job Summary: The Principal AI Engineer will lead Generative AI vision, strategy, and architecture. They will architect, build, and improve GenAI applications, automate ML pipelines, and establish reusable frameworks. The role involves building guardrails, compliance rules, and promoting good software engineering practices across the team. Key Responsibilities Drive Generative AI vision, strategy, and architecture Architect, build, maintain, and improve GenAI applications and underlying systems Automate machine learning pipelines, monitor performance and costs Optimize models using techniques such as LoRA/...

Role Overview: At Apple, we are looking for a highly skilled and motivated Machine Learning Engineer with a strong focus on Large Language Models (LLMs) and text processing. Your main responsibility will be to work on building, fine-tuning, optimizing, and deploying LLMs for real-world applications. Additionally, you will be tasked with generating scripts using LLMs, customizing models with platforms like Ollama, and integrating them into robust applications. Your role will involve designing and implementing solutions that leverage LLMs for various text-related tasks such as generation, understanding, summarization, classification, and extraction. Key Responsibilities: - Design and implement...

As a Computer Vision Developer at Swissdigitech, you will be responsible for designing and implementing computer vision algorithms for various tasks such as object detection, tracking, image classification, segmentation, pose estimation, OCR, etc. You will work with deep learning frameworks like TensorFlow, PyTorch, or OpenCV to develop and deploy vision models. Additionally, your role will involve preprocessing and annotating image/video data for model training, validation, and optimizing CV models for performance, speed, and memory usage for real-time or edge deployment. Collaboration with data scientists, backend developers, and product managers to integrate vision models into production ...

As the Gen AI Manager at GlobalLogic, your primary responsibility will be to design, implement, and maintain large-scale Generative AI solutions, focusing on Large Language Models (LLMs). This role requires a combination of strategic leadership and hands-on technical execution, including architecture design, LLM fine-tuning, deployment, and ensuring operational excellence. **Key Responsibilities:** - **AI Architecture & Strategy:** - Design scalable, high-performance AI/LLM systems for production environments. - Define AI model strategy, infrastructure requirements, and integration with existing systems. - **LLM Operations (LLM Ops):** - Oversee deployment, monitoring, and maintenance of LLM...

Role Overview: As a Machine Learning Lead at our company, you will be responsible for driving the strategic vision and development of cutting-edge machine learning models and algorithms to solve complex problems. Your role will involve working closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. You will play a key role in building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Key Responsibilities: - Define and drive the strategic vision for machine learning initiatives across multiple teams or projects. - Lead t...

Role Overview: As an Industrial AI Consultant specializing in Maintenance & Reliability, your role involves shaping client engagements by identifying business opportunities and driving pilots towards scaled deployments. You are expected to exhibit strong strategic thinking, possess delivery experience on asset-intensive AI projects, and demonstrate the ability to create commercial value cases and executive presentations. While being hands-on with data science and architecture, you will lead AI initiatives such as LLMs, AI agents/copilots, predictive analytics, and operational AI solutions integrated into industrial workflows. Key Responsibilities: - Lead client conversations to define strate...

As an AI Engineer at Innover, you will play a crucial role in developing innovative AI applications and solutions leveraging Generative AI and Agentic AI systems. Your expertise in Data Science and hands-on experience in building intelligent models will be instrumental in automating complex tasks across various domains. Here is a detailed breakdown of your responsibilities and the qualifications required for this role: **Role Overview:** You will be responsible for designing and building GenAI-powered applications using Large Language Models (LLMs) for tasks such as summarization, Q&A, document parsing, and chatbots. Additionally, you will build and orchestrate agentic workflows using framew...

Role Overview: As an Artificial Intelligence Consultant at Capgemini Invent, you will be responsible for implementing AI-based solutions within the Intelligent Industry vertical. Your role will involve designing and developing ML/NLP models, collaborating with key stakeholders, and executing data science projects independently to deliver business outcomes. You will also be involved in ML asset creation and providing training to fellow data science professionals. Key Responsibilities: - Implement Artificial Intelligence solutions across various disciplines - Design and develop ML/NLP models - Work closely with the Product Owner, Systems Architect, and other stakeholders - Execute data science...

What We Do: At ClearTrail, work is more than just a job. Our calling is to develop solutions that empower those dedicated to keep their people, places and communities safe. For over 23 years, law enforcement & federal agencies across the globe have trusted ClearTrail as their committed partner in safeguarding nations & enriching lives. We are envisioning the future of intelligence gathering by developing artificial intelligence and machine learning based lawful interception & communication analytics solutions that solve the world's most challenging problems. Qualifications: Bachelor's degree in computer science & engineering 7+ years of experience in AI/Data Science. Sound theoretical and pr...

Primary Job Title: Part-Time AI/ML Industry Mentor Location & Work Type: Remote (India) Part-time, flexible hours; sessions and mentoring delivered in Tamil About The Opportunity We are seeking an experienced AI/ML Industry Mentor to coach and upskill learners in Tamil . This role combines technical coaching, project review, and interview preparation for learners building production-ready ML solutions. Ideal mentors have strong industry experience, solid teaching instincts, and the ability to simplify complex concepts into actionable guidance. Role & Responsibilities Deliver live mentoring sessions and technical office hours in Tamil covering core ML topics, frameworks, and best practices. R...

Job Title: Databricks Engineer MLOps (A3 Level) Experience: 3 to 5 Years Location: Bangalore / Hyderabad / Pune / Mumbai / NCR. Joining: Immediate Joiners Preferred Job Description We are looking for a highly skilled Databricks Engineer with strong MLOps experience to join our team. The ideal candidate should have hands-on expertise in building, deploying, and maintaining machine learning pipelines on Databricks, along with solid knowledge of MLOps tools and best practices. Key Responsibilities Develop, optimize, and maintain Databricks-based data and ML pipelines Implement MLOps workflows including model versioning, CI/CD, deployment, and monitoring Work with MLflow for experiment tracking ...

Job Title: Databricks Engineer MLOps (A3 Level) Experience: 3 to 5 Years Location: Bangalore / Hyderabad / Pune / Mumbai / NCR. Joining: Immediate Joiners Preferred Job Description We are looking for a highly skilled Databricks Engineer with strong MLOps experience to join our team. The ideal candidate should have hands-on expertise in building, deploying, and maintaining machine learning pipelines on Databricks, along with solid knowledge of MLOps tools and best practices. Key Responsibilities Develop, optimize, and maintain Databricks-based data and ML pipelines Implement MLOps workflows including model versioning, CI/CD, deployment, and monitoring Work with MLflow for experiment tracking ...

Category Tools & Technologies Languages & Frameworks Python, PyTorch , TensorFlow, JAX Ecosystems HuggingFace Transformers, Diffusers LLM & Agentic Frameworks LangChain , LangGraph , LlamaIndex , Semantic Kernel MLOps MLflow , Weights & Biases, Kubeflow Generative & Agentic AI RAG (FAISS, Pinecone, Weaviate , Milvus), AutoGen , OpenAI Function APIs Model Fine-tuning LoRA , QLoRA , Stable Diffusion, DreamBooth , ControlNet Machine Learning & DL XGBoost , LightGBM , CNNs, RNNs, Transformers, GNNs Computer Vision YOLO, DETR, CLIP, BLIP, SAM, PaddleOCR Optimization & Deployment TensorRT , ONNX Runtime, Docker, Kubernetes, REST/ gRPC APIs Cloud & Monitoring Azure ML, Azure OpenAI , Azure Cognitiv...

Job Description: You will be responsible for utilizing your technical skills in programming languages such as Python, R, and SQL, along with a deep understanding of ML algorithms, including statistical ML algorithms and deep neural network architectures. You will also work on model ensembling, generative AI models, and ML for Responsible AI. Your expertise will cover AI domains such as NLP, speech, computer vision, and structured data. Additionally, you will be expected to have knowledge of learning patterns in supervised, unsupervised, and reinforcement learning. Your role will involve utilizing tools for data analysis, auto ML, model deployment, scaling, and model fine-tuning. You should a...

Role Overview: You will be a Data Scientist - AI responsible for designing and deploying advanced deep learning systems to extract actionable insights from diverse data sources. Your work will involve building scalable AI pipelines, fine-tuning transformer models, and collaborating with quantitative researchers to translate machine learning outputs into meaningful business signals. Key Responsibilities: - Research, design, and train deep learning models (LLMs, CNNs) for extracting pricing or predictive signals from various data types. - Develop and maintain end-to-end AI orchestration pipelines for data ingestion, feature extraction, model training, and real-time inference. - Create scalable...

As a MLOps | DevOps | Cloud Engineer at EG, you will play a crucial role in designing, implementing, and managing the cloud infrastructure for deploying AI models at scale. Your responsibilities will include: - Designing, implementing, and managing scalable, secure, and reliable cloud infrastructure on AWS for AI model deployment, monitoring, and maintenance. - Automating deployment pipelines, CI/CD workflows, and model updates to ensure continuous delivery and integration. - Deploying ML models, managing model versioning, updates, and rollouts, and monitoring AWS resource utilization, performance, costs, and backups. - Setting up logging and alerting, reviewing system logs to track issues a...

About the Role: We're looking for a passionate and results-driven AI Delivery & Performance Lead to manage the end-to-end delivery of AI solutions and ensure they generate measurable business value. This role will be instrumental in driving execution excellence, tracking performance metrics, and improving solution adoption across enterprise clients. Key Responsibilities: Lead the delivery of AI projects, ensuring high-quality outcomes within defined timelines. Track and analyze performance metrics (business KPIs, model effectiveness, adoption rates, etc.) to measure impact. Collaborate with product, engineering, and business teams to resolve delivery challenges. Conduct project reviews and c...

Job Title: AI Delivery & Performance Lead Location: Gurugram/Noida/Pune/Bangluru About the Role: Were looking for a passionate and results-driven AI Delivery & Performance Lead to manage the end-to-end delivery of AI solutions and ensure they generate measurable business value. This role will be instrumental in driving execution excellence, tracking performance metrics, and improving solution adoption across enterprise clients. Key Responsibilities: Lead the delivery of AI projects, ensuring high-quality outcomes within defined timelines. Track and analyze performance metrics (business KPIs, model effectiveness, adoption rates, etc.) to measure impact. Collaborate with product, engineering, ...

Description We are seeking a GEN AI expert to join our innovative team in India. The ideal candidate will have 5-8 years of experience in developing and implementing AI solutions that drive business value. This role requires a deep understanding of machine learning principles and the ability to work collaboratively with teams to deliver impactful AI projects. Responsibilities Develop and implement AI models and algorithms to solve real-world problems. Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions. Conduct research and stay updated with the latest advancements in AI and machine learning. Analyze and preprocess data to ensure high-quality input ...

We are looking for a skilled and hands-on Data Scientist with 5+ years of experience in developing and deploying machine learning modelsranging from traditional ML algorithms to advanced deep learning and Generative AI systems. The ideal candidate brings a strong foundation in classification, anomaly detection, and time-series modeling, along with hands-on experience in deploying and optimizing Transformer-based models . Familiarity with quantization , fine-tuning , and RAG (Retrieval-Augmented Generation) is highly desirable. Responsibilities Design, train, and evaluate ML models for tasks such as classification, anomaly detection, forecasting, and natural language understanding. Build and ...

Role Overview: You will be responsible for utilizing your technical skills in data science, particularly in predictive modeling, data wrangling, and model building, to support marketing operations. Your role will involve working on marketing analytics tasks such as campaign analysis, segmentation, model tracking, and ROI evaluation. Additionally, you must be proficient in client management, collaborating with various teams, and visualization tools like Power BI or Tableau. Key Responsibilities: - Hands-on experience in Data Science, Python, NLP, ML, and model deployment - Exposure to marketing analytics tasks - Marketing experience in campaign analysis, segmentation, model tracking, and ROI ...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential selection), ML infrastructure, or specialization in a related ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Experience in Python, machine learning, data analytics. Preferred qualifications: Master's degree or PhD in Computer Scienc...

As a Project Manager to Associate Director in the Embedded Engineering Services (EES) unit, your role involves leading strategic initiatives and owning the practice for Edge AI/ML, data pipelines, and intelligent embedded systems. You will define and build the competency roadmap for machine learning, deep learning, model deployment, and real-time inferencing on edge platforms. Your responsibilities will include overseeing data creation processes such as data collection, dataset curation, annotation, cleaning, augmentation, and synthetic data generation. Additionally, you will champion use cases involving sensor fusion to create robust, efficient, and context-aware edge intelligence solutions...

As an AI Delivery & Performance Lead, you will play a crucial role in managing the end-to-end delivery of AI solutions to ensure they bring measurable business value. Your responsibilities will include: - Leading AI projects to ensure high-quality outcomes are delivered within defined timelines. - Tracking and analyzing performance metrics to measure impact on business KPIs, model effectiveness, and adoption rates. - Collaborating with product, engineering, and business teams to address delivery challenges. - Conducting project reviews and creating executive dashboards to communicate progress and blockers. - Identifying opportunities for process improvement, tool enhancement, and delivery fr...