232 Ml Pipelines Jobs - Page 7

Join as Principal AI, Blockchain & Payments Architect (Remote). Lead AI/ML & Blockchain integration in a cutting-edge payments platform. FinTech, Java, Python, AI, DLT, global rails. DM or send resume to suresh@goldenpicktech.com. Flexi working Work from home Performance bonus

The Product Engineer AI-Powered Developer Tools (On-Prem) position based in Tower 1, World Trade Center, Kharadi, Pune offers a full-time, in-office work arrangement. As a part of the core engineering squad, you will be involved in building air-gapped, AI-powered developer tooling designed to operate completely behind customer firewalls. Your role will entail transforming ideas and prototypes into refined features, collaborating closely with architects, and delivering code that enhances the experience of developers. The product is specifically tailored to function within customer firewalls, incorporating customized LLM models and on-prem systems. Your key responsibilities will include owning...

Educational Requirements MCA,MSc,Bachelor of Engineering,BBA,BCom Service Line Data & Analytics Unit Responsibilities Roles & Responsibilities: Understand the requirements from the business and translate it into an appropriate technical requirement. Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Help team with ML Pipelines from creation to execution Guide team to debug on issu...

The role will oversee the strategic direction and execution of machine learning projects, working closely with data scientists, software engineers, and product teams. The aim is to enhance services through innovative AI/ML solutions, including building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and enhance customer experiences. Key Responsibilities: - Define and drive the strategic vision for machine learning initiatives. - Lead the development and optimization of machine learning models. - Supervise the preprocessing and analysis of large datasets. - Deploy and maintain ML solutions in production environments. -...

Role & responsibilities Build and deploy production-grade ML pipelines for varied use cases across operations, manufacturing, supply chain, and more Work hands-on in designing, training, and fine-tuning models across traditional ML, deep learning, and GenAI (LLMs, diffusion models, etc.) Collaborate with data scientists to transform exploratory notebooks into scalable, maintainable, and monitored deployments Implement CI/CD pipelines, version control, and experiment tracking using tools like MLflow, DVC, or similar Do shadow deployment and A/B testing of production models Partner with data engineers to build data pipelines that support real-time or batch model inference Ensure high availabil...

Hands-on experience of deployment of models on Snowflake, and writing stored procedures for the same, OR Hands-on experience with Cortex AI and its frameworks. Experience in doing indexing, parsing, & Document AI within Cortex. Required Candidate profile Experience in Snowflake data platform and infrastructure Snow-park should be known, Data Science theoretical or DS Candidates should be only from Tamil Nadu

As a Senior ML Engineer / ML Ops - GCP Specialist at Incedo, you will be responsible for building and deploying machine learning models in production environments. You will work with data scientists, data engineers, and software developers to design and implement machine learning pipelines. You will be skilled in programming languages such as Python or Java and have experience in ML tools such as TensorFlow or PyTorch. You will be responsible for ensuring that models are scalable, efficient, and can be deployed in production environments. Roles & Responsibilities: Designing and developing machine learning (ML) models and algorithms Implementing and maintaining ML pipelines and workflows Coll...

GCP Cloud Architecture. Model Deployment Lifecycle Knowledge of creating Training & Serving Pipeline Familiar with any one of workflow: Kubeflow, Airflow, ML Flow, Argo etc" Strong in Python Adequate SQL skill Must have skill : Python, SQL, ML Engineer (Model Deployment/MLOPS), ML Pipeline-(Kubeflow, Airflow Flow, Argo etc,) Preferred Skill: Pytorch, TensorFlow, Exp in hiper scaler/Cloud Service, Deep learning framework,

The company's beliefs serve as the guiding principles driving the daily operations, centered around core values of Inclusion, Innovation, Collaboration, and Wellness. These values underscore the importance of working collaboratively as a global team, prioritizing customers, self-care, interpersonal relationships, and community involvement. As a key member of the team, your role will focus on spearheading the strategic vision and advancement of cutting-edge machine learning models and algorithms to address intricate challenges. Working closely with data scientists, software engineers, and product teams, you will leverage innovative AI/ML solutions to enhance services. Your responsibilities wi...

You will be joining a company that specializes in Identity and Access Management (IAM) and Customer Identity and Access Management (CIAM), offering advanced solutions to enhance security for your workforce, customers, and partners. The company also provides cutting-edge security solutions for various popular CMS and project management platforms such as Atlassian, WordPress, Joomla, Drupal, Shopify, BigCommerce, and Magento. The solutions offered are precise, effective, and focused on improving overall security measures. As an AI/ML Engineer with our team, you will play a crucial role in developing innovative AI-powered products and solutions. The ideal candidate for this position should poss...

You will be responsible for designing, building, and deploying scalable NLP/ML models for real-world applications. Your role will involve fine-tuning and optimizing Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. You will work with transformer-based architectures such as BERT, GPT, LLaMA, and T5, and develop GenAI applications using frameworks like LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). Writing clean, efficient, and testable Python code will be a crucial part of your tasks. Collaboration with data scientists, software engineers, and stakeholders to define AI-driven solutions will also be an essential aspect of your work. Additio...

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Edge AI Data Scientists will be responsible for designing, developing, and validating machine learning modelsparticularly in the domain of computer visionfor deployment on edge devices. This role involves working with data from cameras, sensors, and embedded platforms to enable real-time intelligence for applications such as object detection, activity recognition, and visual anoma...

Role: Lead AI/ML Engineer Location: Ambattur, Chennai(Onsite) Fulltime Position Job Summary: We are looking for an AI/ML Engineer to Lead, develop, optimize, and deploy machine learning models for real-world applications. You will work on end-to-end ML pipelines , collaborate with cross-functional teams, and apply AI techniques such as NLP, Computer Vision, and Time-Series Forecasting . This role offers opportunities to work on cutting-edge AI solutions while growing your expertise in model deployment and optimization. Key Responsibilities: Design, build, and optimize machine learning models for various business applications. Develop and maintain ML pipelines , including data preprocessing, ...

As a Data Analyst at our company based in Trivandrum, you will be responsible for analyzing large volumes of log data from NGINX server logs to identify user behavior patterns, anomalies, and security events. Your role will involve interpreting various fields such as IP addresses, geolocation data, user agents, request paths, status codes, and request times to derive meaningful insights. Collaboration with AI engineers is crucial as you will work together to propose relevant features based on log behavior and traffic patterns. Your responsibilities will include validating engineered features, conducting exploratory data analysis, and ensuring the quality and alignment of feature logic with r...

Are you our Type Monotype, named "One of the Most Innovative Companies in Design" by Fast Company, is dedicated to bringing brands to life through type and technology that consumers engage with daily. With a rich legacy spanning centuries, Monotype boasts a library featuring renowned typefaces like Helvetica, Futura, and Times New Roman, among others. Additionally, Monotype offers a pioneering service that enhances access to fonts for creative professionals, facilitating their discovery, licensing, and utilization in today's digital landscape. Collaborating with major global brands and individual creatives, Monotype provides a diverse range of solutions to streamline the design of captivatin...

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Technical knowledge- has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to – Python Programming - Expert and Experienced - 4 -5 years DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum Hands-On MS Azure Cloud knowledge Understand and take requirements on Operationalization of ML Models from Data Scientist Help team with ML Pipelines from creation to execution List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup Assist team to coding standards (flake8 etc) Guide team to debug on issues with pipeline...

3–5 yrs exp in AI/ML, Python, Azure ML, and model deployment. Build & manage ML pipelines using Azure Data Factory, DevOps, ACI/AKS. Strong in scikit-learn, TensorFlow/PyTorch, MLOps, and large-scale data handling. Location: Mumbai.

Job Title: AWS Engineer Experience: 4 - 8 Years Location: Bengaluru (Hybrid 2- 3 Days Onsite per Week) Employment Type: Full-Time Notice Period: Only Immediate to 15 Days Joiners Preferred Job Description: We are looking for an experienced AWS Engineer to join our dynamic data engineering team. The ideal candidate will have hands-on experience building and maintaining robust, scalable data pipelines and cloud-based architectures on AWS. Key Responsibilities: Design, develop, and maintain scalable data pipelines using AWS services such as Glue, Lambda, S3, Redshift, and EMR Collaborate with data scientists and ML engineers to operationalize machine learning models using AWS SageMaker Implemen...

Build robust ML pipelines with AWS SageMaker, integrate models into production, manage workflows via AWS Data Zone, apply CI/CD best practices, contribute to MLOps research, and optimize ML systems for reliability, speed, and cost-efficiency Required Candidate profile Experienced MLOps Engineer with 5+ yrs in software development, AWS & SageMaker expertise, skilled in Python/R/Scala/Spark, production-grade delivery, and a sharp mindset for MLOps research innovation

Job Summary: We are seeking a highly skilled and motivated Machine Learning Engineer with a strong foundation in programming and machine learning, hands-on experience with AWS Machine Learning services (especially SageMaker), and a solid understanding of Data Engineering and MLOps practices. You will be responsible for designing, developing, deploying, and maintaining scalable ML solutions in a cloud-native environment. ________________________________________ Key Responsibilities: Design and implement machine learning models and pipelines using AWS SageMaker and related services. Develop and maintain robust data pipelines for training and inference workflows. Collaborate with data scientist...

Role: ML Ops Engineer Onsite Chennai Exp:5-8 Y Immediate/0-15d Required Skills 1.5+ year exp MLOps/DevOps roles with ML 2. Python, ML libraries 3.Docker&Kubernetes. 4.CI/CD-Jenkins, GitLab, 5.Technology-Azure,AWS,GCP Note: TamilNadu Candidate Only

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Lead Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting chall...

Job Description If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. Who we are: ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Au...

Role and Responsibilities Design, develop, implement, and maintain AIML products to solve specific business problems Optimize the existing codes using advanced programming skills Execute AIML POC projects Collaborate with various stake holders (Data engineers, Cloud Engineers, Bas) in the practice to deliver optimal outcomes Work on various cloud platforms includes AWS, AZURE and GCP Work on big-data tools (PySpark) Design and develop ML pipelines includes feature engineering, model training & testing, model health monitoring and deployments Create reports, projections, models, and presentations to support business strategy and tactics Exercise independent judgment and decision making on com...

Role and Responsibilities Design, develop, implement, and maintain AIML products to solve specific business problems Optimize the existing codes using advanced programming skills Execute AIML POC projects Collaborate with various stake holders (Data engineers, Cloud Engineers, Bas) in the practice to deliver optimal outcomes Work on various cloud platforms includes AWS, AZURE and GCP Work on big-data tools (PySpark) Design and develop ML pipelines includes feature engineering, model training & testing, model health monitoring and deployments Create reports, projections, models, and presentations to support business strategy and tactics Exercise independent judgment and decision making on com...