193 Mlops Tools Jobs - Page 2

You will be responsible for developing and implementing machine learning models for structured and unstructured data. Your duties will include performing data preprocessing, feature engineering, and exploratory data analysis using Pandas and NumPy. Additionally, you will design and maintain end-to-end ML pipelines for training, validation, deployment, and monitoring. You will apply and fine-tune ML algorithms using Scikit-learn, TensorFlow, and PyTorch. Utilizing PySpark for large-scale data processing and distributed ML workloads will also be part of your role. Moreover, you will implement and manage model deployment using AWS SageMaker, Azure ML, or GCP Vertex AI. Keeping track of experime...

Role Overview: As a Python/PySpark Engineer in our data and analytics team, you will play a crucial role in developing scalable data pipelines, working with big-data technologies, and supporting machine learning workflows in production environments. Your expertise in AI/ML concepts will be highly valued as you collaborate with data scientists to prepare, transform, and operationalize data for ML models. Key Responsibilities: - Develop and optimize data pipelines using Python and PySpark. - Work with large-scale datasets in distributed computing environments. - Collaborate with data scientists to prepare, transform, and operationalize data for ML models. - Implement and maintain data quality,...

As a QA Engineer with our renowned multinational telecommunications client, you will play a crucial role in ensuring the high-quality delivery of IoT experiences at scale for global users. Your expertise in testing connected devices, firmware, companion apps, and cloud interfaces will be instrumental in driving end-to-end testing across complex, cross-device ecosystems. **Responsibilities:** - Create and execute scripts for functional UI/UX, AI model automation, and testing on SW applications - Conduct internationalization testing and language-dependent functional validation - Test IoT-specific interaction patterns and expanded UI features - Collaborate with product/design teams to review de...

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. **Key Responsibilities:** - Interpret business needs for structured RAG use cases - Advise on RAG workflows - Configure the SaaS platform - Optimize LLMs for chatbots and text analytics - Lead user training sessions for continuous improvement **Qualifications Required:** - Strong background in AI/ML with hands-on experience in generative AI and RA...

As a Machine Learning Engineer at our company, you will be responsible for designing and developing scalable AI and machine learning models to address complex business challenges. Your role will involve leading end-to-end model development, including data collection, preprocessing, training, validation, deployment, and monitoring. Collaboration with cross-functional teams, such as data engineers, software developers, and product managers, will be essential. Additionally, you will optimize existing AI models for enhanced performance and accuracy. Key Responsibilities: - Design and develop scalable AI and machine learning models - Lead end-to-end model development, including data collection, p...

Role Overview: As a Generative AI Developer at our company, you will be responsible for designing and optimizing Transformer-based models for various generative tasks such as text summarization, Q&A, content creation, and code generation. Your role will involve implementing deep learning techniques, building contrastive learning frameworks, developing information retrieval systems, and collaborating with data scientists and product teams to deliver user-focused GenAI solutions. Key Responsibilities: - Design, develop, and optimize Transformer-based models (e.g., BERT, GPT, T5). - Implement deep learning techniques like batch normalization, dropout, and attention mechanisms. - Build and train...

Role Overview: As a Data Scientist / AI Specialist, you will play a crucial role in designing, building, and optimizing supervised, unsupervised, and deep learning models to address various business challenges. You will be responsible for exploring and engineering data, integrating AI solutions into production systems, collaborating with cross-functional teams, evaluating model performance, staying abreast of the latest AI/ML techniques, and proposing innovative applications. Key Responsibilities: - Design, build, and optimize supervised, unsupervised, and deep learning models for diverse business problems. - Clean, transform, and analyze structured and unstructured data to identify signific...

As an AI/ML & Generative AI Developer, you will be a part of the AI Innovation Team, contributing to the development of cutting-edge Generative AI, LLM-powered applications, and Agentic AI systems for various enterprise use cases. This role involves designing, developing, and deploying advanced ML models, LLM applications, and intelligent AI agents using technologies like LangChain, LlamaIndex, RAG pipelines, Azure, and Databricks. - Develop and deploy AI/ML models and Generative AI applications for diverse enterprise challenges. - Fine-tune and integrate LLMs with LangChain, LlamaIndex, and RAG pipelines. - Build Agentic AI systems with multi-step reasoning and decision-making. - Design sca...

As a Senior Data Scientist (Python + SQL) in Kochi, you will be responsible for the following: - Hands-on experience in AI/ML model development and deployment for 4-6 years. - Proficiency in Python and ML libraries like scikit-learn, TensorFlow, PyTorch, Keras, spaCy, Hugging Face Transformers. - Understanding of traditional ML algorithms such as Regression, SVM, Random Forest, XGBoost, Clustering, etc. - Experience in NLP techniques including tokenization, embeddings, transformers, and BERT/GPT-based models. - Practical experience with GenAI frameworks like Hugging Face, LangChain, LlamaIndex, OpenAI/Anthropic APIs. - Proficiency in data processing tools like Pandas, NumPy, and ML workflows...

You are an experienced and passionate AI/ML Engineer with expertise in Image Processing, Deep Learning, and NLP. Your role will involve designing, developing, and deploying cutting-edge AI solutions using technologies like YOLO, OpenAI APIs, CNN architectures, and natural language processing techniques. - Design and develop AI models for image recognition, object detection, and text understanding. - Work with the latest YOLO versions (v6, v7, v8) for real-time object detection and tracking. - Build and fine-tune CNNs and other deep learning architectures for computer vision tasks. - Integrate OpenAI APIs (ChatGPT, Whisper, DALLE, etc.) for NLP, generative AI, and automation workflows. - Proc...

Metro Global Solution Center (MGSC) is internal solution partner for METRO, a 31.6 Billion international wholesaler with operations in 32 countries through 625 stores & a team of 85,000 people globally. Metro operates in a further 10 countries with its Food Service Distribution (FSD) business and it is thus active in a total of 34 countries. MGSC, location wise is present in Pune (India), Dsseldorf (Germany) and Szczecin (Poland). We provide HR, Finance, Branding, IT & Business operations support to 31 countries, speak 24+ languages and process over 18,000 transactions a day. We are setting tomorrow's standards for customer focus, digital solutions, and sustainable business models. For over ...

As an AI Software Solution Architect, you will play a crucial role in leading the design, development, and deployment of cutting-edge AI-driven software solutions. You will be responsible for engaging with clients and stakeholders to gather and analyze business and technical requirements, preparing comprehensive Business Requirement Specification (BRS) documents, and translating requirements into scalable, maintainable architecture using modern design principles. Your key responsibilities will include designing end-to-end AI processing pipelines, selecting and implementing appropriate ML/DL/GenAI frameworks, and driving the entire project lifecycle from Proof of Concept (PoC) to Minimum Viab...

As a Data Scientist & Agentic AI Developer at CirrusLabs, your role will involve designing, developing, and evaluating intelligent AI agents to deliver high-quality, reliable, and compliant solutions. Your expertise in data science, AI/ML engineering, and hands-on experience building agentic systems will be crucial for this position. **Key Responsibilities:** - Design and develop agentic AI systems powered by Large Language Models (LLMs) with tool-calling capabilities - Build and optimize multi-step reasoning workflows and agent orchestration frameworks - Implement retrieval-augmented generation (RAG) pipelines for knowledge-intensive applications - Integrate external tools, APIs, and databa...

About Us CoffeeBeans Consulting is a tech consulting firm focused on making organizations AI-ready by structuring their data efficiently across various sources and enabling AI-driven solutions. We specialize in data architecture, pipelines, governance, MLOps, and Gen AI solutions, helping clients achieve faster go-to-market and cost efficiency . We are looking for a Principal Engineer who can design and implement complex solutions that are scalable, future-proof and AI led. Key Responsibilities Solution Architecture Engage with clients to understand business goals, technical constraints, and AI/data maturity. Translate requirements into scalable solution blueprints across tech stack and infr...

Job Description: You will be responsible for building and maintaining ML pipelines for training, validation, deployment, and monitoring. Additionally, you will implement CI/CD for ML artifacts, including data versioning and model registries. Monitoring model performance and drift to trigger retraining workflows as needed will also be part of your key responsibilities. Managing infrastructure (cloud, containerized, on-prem) for high-availability AI services and collaborating with data, ML, and ops teams to deliver a frictionless MLOps lifecycle are essential aspects of the role. Key Responsibilities: - Build and maintain ML pipelines for training, validation, deployment, and monitoring - Impl...

Experience : 3.00 + years Salary : INR 185185-222222 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers client - AI Solutions Provider) What do you need for this opportunity Must have skills required: AI product architecture, deploying scalable systems, Generative AI, AI model pipelines, cloud platforms, Hugging Face, Llm development, MLOps tools, No code tools, Kubernetes, NLP AI Solutions Provider is Looking for: Full-time Contractual opportunity for 3 months Key Responsibilities Model De...

Experience : 3.00 + years Salary : INR 185185-222222 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers client - AI Solutions Provider) What do you need for this opportunity Must have skills required: AI product architecture, deploying scalable systems, Generative AI, AI model pipelines, cloud platforms, Hugging Face, Llm development, MLOps tools, No code tools, Kubernetes, NLP AI Solutions Provider is Looking for: Full-time Contractual opportunity for 3 months Key Responsibilities Model De...

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role We are looking for a seasoned Contact Center Architect with strong domain experience in conversational AI systems. The Sen...

Role & Responsibilities Conversational AI & Chatbot Development Design and implement intelligent chatbot solutions using modern LLMs like GPT-4, Claude, LLaMA, etc. Build prompt strategies, chains, and RAG (Retrieval-Augmented Generation) pipelines for enhanced context-aware responses. Integrate chatbot systems with APIs, databases, and enterprise applications. Optimize model usage to balance cost, latency, and accuracy. Develop fallback logic, session tracking, and context management for multi-turn conversations. Ensure secure, ethical, and responsible AI usage. AI/ML for Predictive Analytics Analyze historical and real-time data to identify trends, anomalies, and patterns. Work with struct...

Role Overview: As a Data Science Engineer, VP at our company in Bangalore, India, you will lead the development of intelligent, autonomous AI systems. Your role will focus on designing and deploying AI solutions that leverage advanced technologies to enhance enterprise applications. Key Responsibilities: - Design & Develop Agentic AI Applications: Utilize frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. - Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. - Fine-Tune Language Models: Customize LLMs (e.g., Gemini, c...

You will be responsible for spearheading the development of intelligent, autonomous AI systems by designing and deploying AI solutions that leverage technologies such as Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques. Your key responsibilities will include: - Designing & Developing Agentic AI Applications: Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. - Implementing RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. - Fine-Tuning Language Models: Customise LLMs (e.g., Ge...

AI / ML Engineer (Fresher / 01 Year Experience) Location: Vapi, Gujarat (On-site ) Employment Type: Full-time About the Role We are looking for passionate AI/ML Engineers from a Computer Engineering background to work on cutting-edge AI-driven drug discovery and advanced research projects. If you have strong Data Structures & Algorithms (DSA) skills, solid understanding of Machine Learning, Deep Learning, and Reinforcement Learning (RL), and interest in Agentic AI, you will be a great fit for this role. This is an excellent opportunity for freshers or engineers with up to 1 year of experience to contribute to impactful real-world AI research. Responsibilities Design, train, and evaluate ML/D...

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Generative AI Lead Developer Role Overview: The Generative AI Lead Developer will be responsible for designing, building, and deploying cutting-edge generative AI applications and services. This role involves hands-on development of LLM-powered solutions such as copilots, virtual assistants, and document intelligence tools, while also leading a team of developers in implementing scalable, secure, and compliant GenAI systems. You'll collaborate closely with AI arch...

AWS Cloud services, including: Compute: EC2, Lambda, EKS/ECS Storage: S3, EBS Database: RDS (PostgreSQL, MySQL), DynamoDB, Aurora Networking: VPC, API Gateway ML: SageMaker, Kinesis for data streaming Python Django, Flask, FastAPI.

Role Overview: As an AI/ML Data Scientist specializing in Supply Chain Analytics at Sonata Software, your main role will be to design, develop, and deploy AI/ML models to address complex business challenges within the Supply Chain domain. You will work closely with data engineers and architects to create robust data pipelines and models aligned with Fabric and Lakehouse architecture. Your responsibilities will include leading model training, validation, deployment, and monitoring through MLOps frameworks to ensure scalability and sustainability. Collaboration with stakeholders to translate business requirements into actionable data science solutions, performing data wrangling, feature engine...