499 Aws Sagemaker Jobs - Page 8

Design, develop, deploy ML models for real-world applications Implement, optimize ML pipelines using PySpark & MLflow Structured/ unstructured data using Pandas, NumPy Train models using scikit-learn, TensorFlow, PyTorch. Integrate LLMs Required Candidate profile Strong in Python, ML algorithms, model development, evaluation techniques Exp in PySpark model lifecycle management, MLflow Pandas, NumPy, and Scikit-learn, LLMs (OpenAI, Hugging Face Transformers)

Dear Job Seekers..! Greetings from Chimera Technologies..! We are looking for Data Scientist - 3-6 yrs experience - immediate joinee - willing to have 3-6 Months C2H mode . Kindly find the JD and JS as below Job Description (JD) Data Scientist Position Title: Data Scientist Experience Required: 56 Years Location: Bangalore Employment Type: C2H - 3-6 Months Joining: Immediate Role Overview: We are looking for a highly skilled and motivated Data Scientist with 56 years of experience to join our team immediately. The ideal candidate will have strong expertise in Python-based data science frameworks, machine learning, deep learning fundamentals, and cloud-based ML services. You will be responsib...

Dear Candidate, One of our Top MNC Immediate Hiring for MLOps Solution Architect role In Hyderabad Location Job Title: Sr. MLOps Specialist AWS Experience: 15 To 20 Years Location : Hyderabad Work Model : Work from office (5 Days) Employment Type: Full Time Skills : MLops,AWS,Data Bricks Position overview: Should have AWS hand-on experience in Design & Implement MLOps Pipelines and has done 5+ implementations and then moved to a Solution Architect role. Solution Design & Architecture : Designing and governing technical solutions, aligned with enterprise standards, security policies, and scalability goals. Technology Evaluation & Decision-Making: Evaluate tools, frameworks & AWS platform Depl...

Role & responsibilities Experience working on AWS Cloud is a must, Data Science, Machine Learning , LLP, Deployment Experience. Preferred candidate profile Machine learning engineer having minimum 7 years of relevant experience & Aws minimum 3 Years.

Advanced AI and GenAI for Problem Discovery, RCA and Action Recommendation : Lead the team of data scientists, GenAI developers and ML engineers in hands-on mode. The team is engaged in developing and deploying advanced LLM, SLM and RAG based models along with classical machine learning models including anomaly detection, predictive analytics, causal inferencing and action recommendation models, to develop pipelines that autonomously discover problems, identify root causes and recommend actions in real-time and batch processing scenarios while ensuring that models are interpretable, scalable, and optimized for performance in production environments at big data scale. Gen-AI-Powered Analysis ...

Looking to make an impact in AI for telecom? As an AI Architect, youll drive the design and deployment of innovative AI/ML frameworks and solutions tailored for the telecom industry. You'll define architecture blueprints, choose the right tools and platforms, and partner with cross-functional teams to build scalable, high-impact AI systems. If you're passionate about driving real-world transformation through AI, this role is for you. You have: Deep understanding of AI/ML techniques and scalable architecture design. Experience architecting AI solutions for telecom operations, inventory management and ETL Strong experience with data platforms (Kafka, Spark, Hadoop), model orchestration (Kubefl...

We are looking for: Senior Software Developer Python , Youll make an impact by: Write high-quality, testable, and maintainable Python code using object-oriented programming (OOP), SOLID principles, and design patterns. Develop RESTful APIs and backend services for AI/ML model serving using FastAPI. Collaborate with AI/ML engineers to integrate and deploy Machine Learning, Deep Learning, and Generative AI models into production environments. Contribute to software architecture and design discussions to ensure scalable and efficient solutions. Implement CI/CD pipelines and adhere to DevOps best practices for reliable and repeatable deployments. Design for observability, incorporating structure...

Role & responsibilities Design, develop, and deploy ML models on AWS SageMaker. Build and maintain scalable ML pipelines (training, testing, deployment, and monitoring). Collaborate with data engineers to prepare and preprocess large datasets. Optimize model performance, cost, and scalability in production environments. Implement MLOps best practices for CI/CD, monitoring, and retraining. Ensure compliance with data governance, security, and cloud standards. Qualifications: Bachelors/Masters in Computer Science, Data Science, or related field. 3+ years of experience in ML model development and deployment. Strong proficiency in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn). Proven...

Designation: Lead AI Engineer Company: Decorpot Location: Kolkata Experience Required: 5+ Years About Us: Decorpot is one of Indias leading interior design companies, known for bringing creativity, innovation, and cutting-edge technology into home interiors. As we expand into tech-driven solutions, we are looking for a passionate and experienced Lead AI Engineer to spearhead our AI initiatives, blending Artificial Intelligence with 3D visualization and digital experiences. Role Overview: As a Lead – AI Engineer , you will play a pivotal role in designing, developing, and deploying AI-powered solutions that enhance customer experience, streamline operations, and integrate advanced 3D visualiz...

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high av...

Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda, Responsibilities: Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications. Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone. Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build ge...

About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. Were fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. Were growing fast and are excited to continue bringing world-class talent onboard to help shape...

Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications. Perks and benefits: Mention available facilities and benefits the company is offering with this job.

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deploymen...

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high av...

AI Engineer (Onsite - Ahmedabad) Summary: We are looking for an experienced AI Engineer with 4 to 8 years of expertise in AI, machine learning, and LLM development . The ideal candidate will have hands-on experience in building, deploying, and optimizing AI models, along with strong problem-solving and collaboration skills. Key Responsibilities: Design, develop, and optimize AI/ML algorithms and models for real-world applications Integrate AI solutions into existing systems with cross-functional teams Research and apply the latest AI advancements Mentor junior engineers and participate in code reviews Ensure scalable, production-grade AI deployments Requirments: Strong programming skills (Py...

About the Role: We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will be responsible for the design, development, deployment, and maintenance of machine learning models and systems that drive our [mention specific business area or product, e.g., recommendation engine, fraud detection system, autonomous vehicles]. You will work closely with data scientists, software engineers, and product managers to translate business needs into scalable and reliable machine learning solutions. This is a key role in shaping the future and requires a strong technical foundation combined with a passion for innovation and pro...

Job Title: Machine Learning Engineer Location: Jaipur Job Type: Full-Time About the Role We are looking for a Machine Learning Engineer with expertise in YOLO, custom ML models, and deep learning to join our team. If you have 4+ years of experience in developing and deploying computer vision solutions, this is an exciting opportunity to work on cutting-edge AI applications. Key Responsibilities Develop, train, fine-tune, and optimize YOLO-based object detection models (YOLOv5, YOLOv8, etc.). Design and implement custom ML models tailored to specific business needs. Handle large-scale datasets, including data collection, preprocessing, and augmentation. Deploy ML models in cloud environments ...

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high av...

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 5+ years. Strong proficiency in Python for Data Science , with experience in libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Hands on working experience in Python. Experience with data visualization libraries (...

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high av...

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high av...

We are seeking a Senior Generative AI Developer with over 8 years of experience, including at least 2 years specializing in NLP and Generative AI. The ideal candidate will be proficient in Python, LangChain, AWS services such as SageMaker and Bedrock, vector stores, LLM fine-tuning, prompt engineering, and agent frameworks. Experience in CI/CD, Textract, and designing secure, scalable AI architectures is essential. Roles & Responsibilities: Develop and fine-tune large language models (LLMs) to deliver cutting-edge generative AI solutions. Build and optimize NLP pipelines using tools like LangChain and vector stores. Implement and maintain AI services on AWS, leveraging SageMaker, Bedrock, an...

Backend Developer Responsibilities & Skills Position Title Backend Developer Position Type Full time permanent Location Bengaluru, India Company Description Privaini is the pioneer of privacy risk management for companies and their entire business networks. Privaini offers a unique "outside-in approach", empowering companies to gain a comprehensive understanding of both internal and external privacy risks. It provides actionable insights using a data-driven, systematic, and automated approach to proactively address reputation and legal risks related to data privacy. Privaini generates AI-powered privacy profile and privacy score for a company from externally observable privacy, corporate, re...

Dear Aspirant! We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you'd make a great addition to our vibrant international team. We are looking for Senior Software Engineer (AI/ML"“ NLP & Generative AI) , You'll make an impact by Design, develop, and optimize NLP-driven AI solutions using state-of-the-art models and techniques (NER, embeddings, summarization, etc.). Build and productionize RAG pipelines and agentic workflows to support intelligent, context aware appli...