333 Ml Pipelines Jobs - Page 2

Design & evaluate ML tasks, build datasets, run experiments & benchmark LLMs Strong Python skills, competition-grade expertise (Kaggle) & robust pipelines Experience with modern ML/NLP tools At dext ai, we refer candidates to AI-training companies Required Candidate profile At least 3-5 yrs experience of full-time ML development Prior experience in AI research or ML platforms Preferred: Background in GenAI models, LLMs or multimodal learning Contributions to Open-source Perks and benefits Work from home at $21 per hour

Hyderabad Address: Capgemini Technology Services India Limited (GAR Office) , GAR Corporation Pvt. Ltd, Tower 4, Ground & 1st Floor and 3rd Floor to 5th Floor, Sy.No.107/P, Kokapet village. Rajenderanagar Mandal, Hyderabad, Ranga Reddy Dist. Hyderabad Telangana 500075 India. Your Role Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment Collaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools Develop and maintain CI/CD pipelines for ML workflows Implement monitoring and logging solutions for ML models, experience with ML model servi...

Design/ manage cloudnative ML platforms Build ML/ETL pipelines - Apache Airflow, distributed data workflows -Apache Spark Containerize/ deploy ML workloads Develop CI/CD pipelines Implement ML observability using CloudWatch, Grafana, Prometheus Required Candidate profile Strong MLOps profile 8+ yrs of DevOps 4+ yrs in MLOps/ ML pipeline 4+ yrs in Apache Airflow 4+ yrs in Apache Spark Strong in AWS services - EKS/ECS, Lambda, Kinesis, S3, CloudWatch Must - Python

Role Overview: As a Senior Software Engineer for AI Agents at Apple, your primary responsibility will be to define the technical vision and oversee the architectural evolution of the platform infrastructure supporting AI agents at Apple scale. You will be instrumental in driving strategic platform decisions, mentoring engineering teams, and influencing technical direction. Your role will involve building and optimizing the platform that sustains Apple's agentic ecosystem, encompassing data pipelines, compute orchestration, monitoring, and reliability systems. Key Responsibilities: - Define modular agent architectures integrating powerful foundation models, particularly large language models ...

As the Founding Principal ML Engineer/ML Scientist at a venture-backed, stealth-stage technology company focusing on Applied AI, you will play a crucial role in designing and deploying core recommendation and personalization systems for next-gen matchmaking and relationship platforms. Here's a breakdown of what to expect in this role: **Role Overview:** You will be responsible for owning and developing match-making, recommendation, ranking, and personalization systems. Your main focus will be on creating a novel, real-time adaptive matchmaking engine that learns from user interactions and other signals. Additionally, you will design ranking and recommendation algorithms to provide curated fe...

Role Overview: You will be responsible for building the machine learning production System (MLOps) and deploying state-of-the-art AI solutions for Fractal clients. This is an exciting opportunity for an experienced server-side developer to work in a challenging and innovative environment. Key Responsibilities: - Collaborate with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models - Automate and streamline Model development and Model operations - Build and maintain tools for deployment, monitoring, and operations - Enable Model tracking, model experimentation, and Model automation - Develop scalable ML pipelines - Develop MLOps components using ...

As a Machine Learning Operations (MLOps) Engineer at Fractal Analytics, you will play a crucial role in building the machine learning production system to enable Fortune 500 companies to transition into AI-driven organizations. Your responsibilities will include: - Collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models - Automating and streamlining model development and model operations - Building and maintaining tools for deployment, monitoring, and operations - Troubleshooting and resolving issues in development, testing, and production environments - Enabling model tracking, experimentation, and automation - Developing scalab...

Design & deploy ML/NLP models, chatbots, and search systems. Lead AI architecture, scaling, and production integration. Skilled in Python, TensorFlow/PyTorch, LLMs, RAG, vector DBs. 4+ yrs experience. Strong collaboration & problem-solving skills.

Job Title: AIML Engineer AWS Experience: 6 to 8 Years Location: Hyderabad (Hybrid) Employment Type: Full-time Job Summary We are looking for an experienced AI Engineer with deep expertise in designing, developing, and deploying AI/ML solutions on the AWS cloud platform. The ideal candidate should have hands-on experience in machine learning, deep learning, NLP, and MLOps, along with a strong understanding of AWS AI/ML services and end-to-end model lifecycle management. Key Responsibilities Design, build, and deploy AI/ML models and pipelines using AWS services such as SageMaker, Lambda, Glue, and Step Functions. Collaborate with data scientists, data engineers, and cross-functional teams to ...

About the Role We are seeking highly skilled Data Engineers with 4+ years hands-on experience in Databricks and strong expertise in data engineering, ML pipelines, and cloud-based data platforms . The ideal candidate will design, build, and maintain large-scale data processing systems, enabling high-quality data flow and analytics for business insights. Key Responsibilities Design, develop, and optimize ML/data transformation pipelines using Python, PySpark, and Apache Spark . Build and manage scalable data architectures for handling large and complex datasets. Work extensively on Azure Databricks and Delta Lake , ensuring efficient data storage and processing. Collaborate with cross-functio...

About The Company Who are we Myntra is India's leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we've always believed in disrupting the ordinary. We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We're bold in our thinking, agile in our execution, and collaborative in spirit. Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in. We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly ...

Must-Have Skills Linux administration, Docker, Kubernetes, cloud-native services, Terraform/Ansible, CI/CD, Python scripting, monitoring and alerting, and experience with secure, distributed deployments.

We are looking for a Machine Learning Engineer with expertise in MLOps (Machine Learning Operations) and LLMOps (Large Language Model Operations) to design, deploy, and maintain scalable AI/ML systems. You will work on automating ML workflows, optimizing model deployment, and managing large-scale AI applications, including LLMs (Large Language Models) , ensuring they run efficiently in production. Key Responsibilities: Design and implement end-to-end MLOps pipelines for training, validation, deployment, monitoring, and retraining of ML models. Optimize and fine-tune large language models (LLMs) for various applications, ensuring performance and efficiency. Develop CI/CD pipelines for ML mode...

Enter a job title Machine Learning Engineer Whats the role? Hilti is investing massively into growing its software and service business and digitizing its customers’ processes. Our Business Unit Fastening & Protection Solutions (BU FPS) develops cutting edge end-to-end solutions for structural connections, MEP supports and fire protection. We see tremendous opportunities in leveraging data, ML and genAI to automate and optimize design and engineering tasks for our customers (value engineering). As a Machine Learning Engineer within the newly created Data & Analytics team of BU FPS, your primary responsibility will be to design, develop, and deploy machine learning models that support generat...

Role Purpose As an SDE III in the MLOps team, you will help build the foundation for highly scalable, reliable, and high-performance ML model serving. Youll be responsible for designing systems that support the entire lifecycle of ML modelsfrom data to deployment—ensuring seamless operations and efficient workflows. Role Value In this role, you will drive continuous improvement across ML infrastructure and applications, enhancing developer experience and strengthening governance of ML assets (data + models). You will design and implement robust ML deployment pipelines, model-serving systems, and automation frameworks. You’ll work with cutting-edge optimization techniques, compilers, and hard...

In this role at EY GDS as a Senior Data Scientist focusing on Data and Analytics (D&A) with a specialization in MLOps, you will be responsible for leveraging your expertise in Data Science and Machine Learning (ML) to contribute to the development and implementation of cutting-edge AI solutions. Your role will involve working on NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture, where your technical skills and experience will be crucial. **Key Responsibilities:** - Design and implement AI models and systems using your deep understanding of AI technologies. - Contribute to the development and implementation of AI solutions leveraging your expertise in data...

Role Overview: At Apple, you will play a crucial role in optimizing data processing efficiency and reliability by instrumenting APIs, user journey, and interaction flows to collect behavioral, transactional, and operational data. You will collaborate with diverse partners to ensure high-quality data products delivery and integrate data pipelines into the ML Operations process. Your work will involve constructing and maintaining data pipelines for Gen AI/RAG solutions to prepare data for models and ensure continuous quality measurement. Key Responsibilities: - Instrument APIs, user journey, and interaction flows to collect behavioral, transactional, and operational data - Optimize ETL workflo...

Experience : 5.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers client - Xpergia) What do you need for this opportunity Must have skills required: Ai/ml engineer, ML Pipelines, Python, Ml/dl frameworks, Data Pipelines, ETL, SQL/NoSQL databases Xpergia is Looking for: About The Role We are seeking an experienced AI/ML Engineer with a strong background in designing, developing, and deploying machine learning models and AI-driven solutions. The ideal candidate will have hands-on expertise across the full ML lifecyclefrom data explor...

Experience : 5.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers client - Xpergia) What do you need for this opportunity Must have skills required: Ai/ml engineer, ML Pipelines, Python, Ml/dl frameworks, Data Pipelines, ETL, SQL/NoSQL databases Xpergia is Looking for: About The Role We are seeking an experienced AI/ML Engineer with a strong background in designing, developing, and deploying machine learning models and AI-driven solutions. The ideal candidate will have hands-on expertise across the full ML lifecyclefrom data explor...

Experience : 5.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers client - Xpergia) What do you need for this opportunity Must have skills required: Ai/ml engineer, ML Pipelines, Python, Ml/dl frameworks, Data Pipelines, ETL, SQL/NoSQL databases Xpergia is Looking for: About The Role We are seeking an experienced AI/ML Engineer with a strong background in designing, developing, and deploying machine learning models and AI-driven solutions. The ideal candidate will have hands-on expertise across the full ML lifecyclefrom data explor...

Required Skills Core ML Transformers / BERT-style sequence models Self-supervised learning (contrastive, masked modelling, CPC) Temporal modeling (CNN-1D/TCN/GRU/LSTM/attention) Feature normalization & embeddings Time-series robustness Data Science / Engineering Python, PyTorch or TensorFlow Training pipelines on large unlabeled datasets Experiment tracking (wandb, mlflow, custom) Metrics design for real-world, not benchmarks Nice to Have Worked with IMU or wearable datasets (movement, sports, health, AR/VR) HAR (Human Activity Recognition) Pedestrian movement segmentation Work on Meta Quest, Apple Health, Garmin, Fitbit, Xiaomi or ARCore Experience We prefer candidates who have: 48 years ML...

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. Job Description : EY GDS Data and Analytics (D&A) Senior MLOP's Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architect...

Role & responsibilities Design, develop, and deploy robust and scalable full-stack applications and services, focusing on integrating AI/Generative AI capabilities . Implement and manage the data pipelines and infrastructure necessary to support AI model training, evaluation, and inference. Develop and maintain Retrieval Augmented Generation (RAG) systems to deliver accurate and contextually relevant information to users . Collaborate with product managers, designers, and other engineers to translate requirements into technical specifications and deliverables. Contribute to the entire software development lifecycle, including planning, coding, testing, deployment, and monitoring. Write clean...

Job Summary We are looking for a Software developer with AI specialisation, that can automate our services with AI. You will be responsible within our Product & tech team to build AI-powered tooling and features that enhance the reliability, automation, and scalability of our service and data flows. We are in the last stage of our new automation strategy, in which AI plays a crucial role. The areas where we look for fast improvement are Client onboarding, Data collection, Photo & invoice recognition, Solution detection, Data requests, Data configuration and data health. This is a hands-on technical role with high product impact, shaping both the architecture and execution of AI initiatives a...

MLOps Engineering Experience operationalizing & managing ML/AI workloads in production environments Distributed Tracing & Observability Strong understanding and hands-on implementation of metrics, logs, and traces (three pillars of observability) Monitoring & Alerting Production experience building Grafana dashboards and actionable alert systems; understands that dashboards without alerts lack operational value Azure Databricks Operations Cluster management, performance optimization, timeout resolution, library troubleshooting, and compute issue resolution Azure Cloud Services Deep knowledge of Azure PaaS, AKS, cloud-native architectures, and Azure monitoring/diagnostics ecosystem Good-to-Ha...