121 Mlops Tools Jobs - Page 2

Location Hinjewadi, Pune - Maharashtra, India Pacesetting. Passionate. Together. HELLA, one of the leading automotive suppliers worldwide, has shaped the industry with innovative lighting systems and vehicle electronics. In addition, the company is one of the most important partners of the aftermarket and independent workshops. What motivates us: Shaping the mobility of tomorrow and fostering the central market trends such as autonomous driving, efficiency and electrification, connectivity and digitization as well as individualization. Every day, 36,000 employees worldwide are committed to this with passion, know-how and innovative strength. YOUR TASKS 5 to 8 years of Industry Experience in ...

You will be joining GlobalLogic to work on a significant software project for a world-class company specializing in M2M / IoT 4G/5G modules for industries like automotive, healthcare, and logistics. Your role will involve contributing to the development of end-user modules" firmware, implementing new features, ensuring compatibility with the latest telecommunication and industry standards, and analyzing customer requirements to provide estimations. - Design end-to-end AI/ML architecture and solutions in alignment with business objectives - Lead the development and deployment of ML models using frameworks like TensorFlow, PyTorch, or Scikit-learn - Architect scalable data pipelines for traini...

Role Overview: As an AI/ML Engineer and Developer, you will play a crucial role in our IT organization, collaborating within a diverse cross-functional team. Your main focus will be on developing, training, fine-tuning, and optimizing machine learning models. Furthermore, you will be responsible for deploying these models into production environments and ensuring their scalability. You will also be involved in creating applications that seamlessly integrate AI models into existing products and pioneering new AI-powered solutions to enhance the capabilities and efficiency of our Marketing, Sales, and Communications teams. Key Responsibilities: - Build end-to-end machine learning pipelines, en...

Sprinklr was founded in 2009 to solve a big problem: enterprise-size complexity dividing brands from the customers they serve. The idea was to unify silos, technology, and teams across large, complex companies. What started in social expanded into a single AI platform to reach, engage, and listen to customers on more than 30 digital channels. Today, Sprinklr has an AI-based platform for four product suites: Sprinklr Service, Sprinklr Social, Sprinklr Marketing and Sprinklr Insights. And as customer-facing teams, markets, and geographies work together, brands benefit from a unified digital edge. At Sprinklr, the culture is built around pushing the limits of possibility. Social media today has...

Job Description Job Title AI/ML Engineer The Purpose of This Role We are looking for a highly experienced and technically proficient ML Engineer to lead the development, deployment, and scaling of machine learning infrastructure and pipelines and ML based applications. This role is ideal for someone with a strong foundation in backend development, Kubernetes-based deployment, AWS cloud infrastructure, and MLOps practices. You will play a key role in bridging the gap between data science and production systems. The Value you Deliver Key Responsibilities Create, design and maintain AI ML based application Design, build, and maintain scalable and secure MLOps pipelines using AWS Sagemaker for m...

As an AI/ML Engineer at our company, you will be responsible for designing, training, and deploying machine learning models. Your role will involve collaborating with product and engineering teams to ensure scalable integration of AI models into real-world applications. This position is ideal for individuals with a strong background in NLP, deep learning, and reinforcement learning, who are eager to work on cutting-edge AI projects at scale. **Key Responsibilities:** - Design, train, and fine-tune ML/DL models with a focus on transformers, SLMs, LLMs, and recommender systems. - Implement RAG pipelines using vector databases such as Pinecone, Weaviate, FAISS, and frameworks like LangChain or ...

As a skilled DevOps Engineer with strong MLOps expertise, you will be responsible for the following key responsibilities: - Designing, implementing, and maintaining CI/CD pipelines for ML model training, testing, and deployment. - Managing containerization & orchestration using Docker and Kubernetes. - Automating infrastructure provisioning using Terraform/CloudFormation. - Implementing and managing MLOps tools such as Kubeflow, MLflow, Airflow, SageMaker, etc. - Ensuring scalability, reliability, and monitoring of ML/AI production systems. - Working closely with data scientists and ML engineers to operationalize ML models. - Developing automation scripts in Python/Bash to streamline workflo...

Job Description (Posting). GEN AI Solution Director Job DescriptionJob Role Overview:As a Generative AI Solution Director, you will be responsible for leading the development and implementation of innovative AI solutions that leverage generative models to solve complex business problems. You will work closely with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to ensure the successful delivery of AI-driven projects.Key Responsibilities:Strategic AI Solution Design: Collaborate with business leaders and product managers to understand business requirements, pain points, and opportunities where AI can deliver significant value. Design ...

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia se...

Job Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Data Scientist Lead at JPMorgan Chase within the Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the f...

As a Junior AI Operations Engineer at ABC, you will play a crucial role in accelerating innovation within the GenAI product development team. Your primary responsibility will be to ensure seamless deployment, monitoring, and optimization of AI systems. By handling operational tasks efficiently, you will enable senior engineers to focus on complex problem-solving. Here's what you can expect in this role: **Role Overview:** - Accelerate innovation by executing and monitoring AI experiments to ensure reliable model behavior. - Manage API keys, data flow configurations, and agent deployments across development and production environments. - Develop automation scripts using Python to streamline o...

As a Senior Technical Architect specializing in Machine Learning Solutions, you will play a crucial role in leading the end-to-end architecture of advanced ML-driven platforms within our enterprise. Your expertise in Machine Learning (ML), Artificial Intelligence (AI), and scalable ML system design will be instrumental in delivering impactful, production-grade AI solutions across the organization. **Key Responsibilities:** - Lead the architecture and design of enterprise-grade ML platforms, encompassing data pipelines, model training pipelines, model inference services, and monitoring frameworks. - Architect and optimize ML lifecycle management systems (MLOps) to facilitate scalable, reprodu...

As a Machine Learning Engineer, your role involves collaborating with cross-functional teams to define ML problems and objectives. You will research, design, and implement machine learning algorithms and models such as supervised, unsupervised, deep learning, and reinforcement learning. Analyzing and preprocessing large-scale datasets for training and evaluation will be a key responsibility. You will also train, test, and optimize ML models for accuracy, scalability, and performance. Deploying ML models in production using cloud platforms and/or MLOps best practices is an essential part of your role. Monitoring and evaluating model performance over time to ensure reliability and robustness i...

Responsibilities Lead the development and integration of AI/ML models into web applications Architect and optimize AI-driven web solutions using frameworks like TensorFlow, PyTorch, Scikit-learn, etc Oversee the deployment of AI models using cloud services (AWS, Azure, Google Cloud) Collaborate with cross-functional teams to define AI strategies and implementation Guide the development of scalable web applications using Angular, C#, NestJS etc. Ensure efficient data processing and model deployment in production environments Optimize AI models for performance, accuracy, and scalability Stay updated with the latest AI/ML trends and web development technologies Mentor junior engineers and foste...

As a part of the team at Beghou Consulting, you will be involved in designing, developing, and deploying AI solutions customized for pharmaceutical clients. Your role will entail collaborating with cross-functional teams, including data scientists, business consultants, and software developers, to transform intricate life sciences challenges into AI-driven innovations. Key Responsibilities: - Design and implement AI/ML pipelines to address real-world challenges in life sciences, such as territory alignment, rep scheduling, patient segmentation, and incentive compensation optimization. - Collaborate closely with domain consultants to comprehend client requirements and create personalized AI s...

Job Description: You are sought after as a Data Scientist with a minimum of 5 years of experience and a solid background in Python programming and Generative AI (GenAI). Your expertise in working with GenAI models like Gemini/OpenAI, Vertex AI, BigQuery NLP, and implementing RAG-based solutions is crucial for this role. Your familiarity with GCP/Azure and modern MLOps tools will be beneficial in this position. Key Responsibilities: - Develop and implement AI/ML solutions utilizing GenAI (Gemini/OpenAI) and Vertex AI - Construct RAG (Retrieval Augmented Generation) based solutions incorporating Vector DBs, chunking, and embedding techniques - Establish and manage CI/CD pipelines for model dep...

As a Senior AI Consultant at G+D, your role involves enabling RAG-based use cases through fine-tuning and prompt engineering expertise. You will be responsible for translating business requirements into actionable RAG solutions, designing tailored workflows, and driving user training to ensure optimal performance and scalability of AI applications. Your key responsibilities will include: - Interpreting business needs for structured RAG use cases - Advising on RAG workflows - Configuring the SaaS platform - Optimizing LLMs for chatbots and text analytics - Leading user training sessions for continuous improvement Required skills for this role include: - Strong background in AI/ML with hands-o...

Job Description Job Title Lead ML Engineer The Purpose of This Role We are looking for a highly experienced and technically proficient Lead ML Engineer to lead the development, deployment, and scaling of machine learning infrastructure and pipelines and ML based applications. The Value you Deliver This role is ideal for someone with a strong foundation in backend development, Kubernetes-based deployment, AWS cloud infrastructure, and MLOps practices. You will play a key role in bridging the gap between data science and production systems. Key Responsibilities Create, design and maintain AI ML based application Design, build, and maintain scalable and secure MLOps pipelines using AWS Sagemake...

As a Machine Learning Engineer at the company, you will be utilizing your expertise in Computer Vision, Natural Language Processing (NLP), and Backend Development. Your primary responsibilities will include: - Developing ML/DL models for Computer Vision tasks such as classification, object detection, and segmentation - Developing ML/DL models for NLP tasks like text classification, Named Entity Recognition (NER), and summarization - Implementing research papers and creating production-ready prototypes To excel in this role, you must have a solid understanding of Machine Learning and Deep Learning concepts. Proficiency in tools and libraries like PyTorch, OpenCV, Pillow, TorchVision, and Tran...

As an NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team in Noida, focusing on cutting-edge technologies to revolutionize the insurance claims processing industry. Gigaforce is a California-based InsurTech company that prioritizes innovation and digital transformation in the Property and Casualty sector. **Key Responsibilities:** - Build and deploy NLP and GenAI-driven products for document understanding, summarization, classification, and retrieval. - Design and implement models utilizing LLMs such as GPT, T5, and BERT. - Develop scalable, cloud-based pipelines for training, serving, and monitoring models. - Collaborate closely with cross-functional teams ...

As a Data Analyst at PwC, you play a crucial role in utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your responsibilities include leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. - Minimum 4+ years of hands-on experience - 3+ years of experience developing and deploying AI models in production environments - 1 year of experience in developing proofs of concept and prototypes - Strong background in software development - Proficiency in programming languages like Python - Knowledge of ML frameworks and libraries - Familiarity with ...

As a Data Science Engineer, you will be contributing to the development of intelligent, autonomous AI systems. You should have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. Your responsibilities will include deploying AI solutions that leverage technologies such as Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. - Design and develop Agentic AI Applications using frameworks like LangChain, CrewAI, and AutoGen - Implement RAG Pipelines, fine-tune Language Models, and train NER Models - Develop Knowledge Graphs and optimize AI workflows - Collaborate cross-functionally to ensure succ...

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Develop and deploy Generative AI models using Azure OpenAI (GPT, Codex, DALL.E). Implement RAG pipelines using Azure AI Search and vector databases. Design and validate solution architectures for LLM-based applications. Build APIs and microservices to integrate AI models into business...

As a Generative AI Expert, your role will involve designing, developing, and optimizing Transformer-based models for various generative tasks such as text summarization, Q&A, content creation, and code generation. You will be required to implement deep learning techniques with a focus on batch normalization, dropout, residual connections, and attention mechanisms to enhance model training and convergence. Additionally, you will build and train contrastive learning frameworks for representation learning and fine-tuning pre-trained models on domain-specific data. Your responsibilities will also include developing scalable information retrieval systems and optimizing model performance for infer...

Role Overview: You will be responsible for designing, building, and optimizing supervised, unsupervised, and deep learning models for various business problems. Additionally, you will clean, transform, and analyze structured and unstructured data to identify significant features. You will also be developing end-to-end AI pipelines, integrating models into production systems, and collaborating closely with product managers, domain experts, and engineers to translate requirements into data science solutions. Tracking model performance and preparing technical documentation and reports will also be part of your role. Staying updated with the latest AI/ML techniques and proposing innovative appli...