2507 Mlops Jobs - Page 8

As a Senior Data Scientist, you will bring expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to the team. Your primary responsibility will be to design, develop, and deploy advanced AI/ML models for data-driven decision-making processes. Strong analytical skills, proficiency in AI/ML technologies, and hands-on experience with cloud-based solutions are essential. - Design and develop ML, NLP, and GenAI models to address complex business challenges - Build, train, and optimize AI models using Python and various ML frameworks - Implement Azure AI/ML services for scalable deployment - Develop and integrate APIs for real...

You will be responsible for building curated enterprise-grade solutions for GenAI application deployment at a production scale for clients. Your role will involve a solid understanding and hands-on skills for GenAI application deployment, which includes development and engineering tasks. This will include: - Data ingestion - Selecting suitable LLMs - Implementing simple and advanced RAG - Setting up guardrails - Prompt engineering for optimization - Ensuring traceability and security - Evaluating LLMs - Enabling observability - Deploying at scale on the cloud or on-premise The ideal candidate should possess 3 - 5 years of experience in working on ML projects, encompassing tasks such as: - Bu...

As a Technical Architect, your role will involve leading the design and development of scalable, enterprise-grade applications and AI/ML solutions. You will be required to collaborate with business and technical stakeholders to translate requirements into maintainable architectures. Your responsibilities will include providing technical leadership, conducting code reviews, and participating in technical discussions with client teams. Moreover, you will oversee the integration of AI/ML components, evaluate emerging technologies, and work closely with DevOps and QA teams. Key Responsibilities: - Lead the architectural design and development of enterprise-level applications and AI/ML solutions....

As a DataRobot Consultant & Deployment Lead at NTT DATA, you will play a crucial role in architecting and overseeing the deployment of DataRobot on Azure, ensuring scalable, secure, and high-performing AI solutions across the enterprise. Your responsibilities will include: - Architecting and overseeing the end-to-end deployment of DataRobot on Azure, including containerized environments using AKS. - Leading the onboarding and migration of legacy SAS-based and DataRobot Prime v6 Python models into DataRobot v8.0.21, and planning the upgrade path to v11. - Collaborating with data scientists, engineers, and business stakeholders to design and implement robust model monitoring and governance fra...

You are invited to join Optimum Data Analytics (ODA), where we specialize in providing advanced data and AI solutions customized to address real-world challenges. As a Lead Data Scientist / AI Solution Architect, you will play a crucial role in designing and deploying AI/ML solutions using cutting-edge technologies such as Azure Cloud, LLMOps, Containerized environments, and Generative AI tools. This position is based in Pune, allowing you to collaborate closely with cross-functional teams on impactful projects. Key Responsibilities: - Architect and implement end-to-end AI/ML solutions utilizing Azure AI/ML services - Lead the design and development of LLMOps pipelines for deploying and mana...

As a Machine Learning Engineer at Tecblic, you will be an integral part of a forward-thinking team that specializes in delivering AI-driven solutions to empower businesses in the digital age. Your passion for LLMs, Computer Vision, MLOps, and Agentic AI will drive you to excel in the following responsibilities: - **Research and Development:** Design, develop, and fine-tune machine learning models across LLM, computer vision, and Agentic AI use cases. - **Model Optimization:** Fine-tune and optimize pre-trained models to ensure performance, scalability, and minimal latency. - **Computer Vision:** Build and deploy vision models for object detection, classification, OCR, and segmentation. - **I...

As a MLOps Engineering Manager, you will play a crucial role in overseeing the administration, configuration, and maintenance of Databricks clusters and workspaces. Your responsibilities will include continuously monitoring Databricks clusters for high workloads or excessive usage costs, alerting relevant stakeholders promptly to address issues impacting overall cluster health, and implementing and managing security protocols to safeguard sensitive information in adherence with Mastercard standards. You will also facilitate the integration of various data sources into Databricks, ensuring seamless data flow and consistency, and identifying and resolving issues related to Databricks infrastru...

As a Python Machine Learning & AI Developer at Chicmic Studios, you will be responsible for developing and maintaining web applications using Django and Flask frameworks. Your expertise in deploying and managing applications on AWS will be crucial. You must have a solid understanding of machine learning concepts and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures like BERT and GPT for NLP and other advanced AI use cases. Key Responsibilities: - Develop and maintain web applications using Django and Flask frameworks. - Design and implement RESTful APIs using Django Rest Framework (DRF). - Deploy, manage, and optimize applications on AWS services (e.g., E...

As an AI/ML Engineer at our company, you will be part of a dynamic team driving cutting-edge AI solutions across traditional machine learning, deep learning, and generative AI. If you are passionate about solving complex problems, experimenting with the latest AI technologies, and building real-world applications, we would love to have you on board. Key Responsibilities: - Design, develop, and optimize traditional AI/statistical models and deep learning architectures such as RNN, LSTM, CNN, and Transformers. - Utilize SQL, EDA, feature engineering, and data visualization to derive actionable insights. - Build and fine-tune Generative AI, NLP, LLMs, Chatbots, Agentic AI, and MCP-based systems...

As an AI Engineer at McCain Foods(India) P Ltd, you will play a crucial role in leading the design, development, and deployment of advanced Agentic AI and Generative AI systems. Your work will involve building intelligent agents capable of autonomous decision-making and generative models that produce novel content across various modalities. Here is a summary of your role overview, key responsibilities, and qualifications: Role Overview: You will collaborate with cross-functional teams to create next-generation AI solutions that drive business value and technological advancement. Your focus will be on developing autonomous AI agents and generative models for content creation in text, image, a...

You have 5 years of hands-on experience in building and deploying AI solutions, preferably in fintech or financial services. Your strong coding skills in Python and familiarity with libraries like TensorFlow, PyTorch, scikit-learn, XGBoost, etc., will be beneficial for this role. Additionally, your experience with NLP, time series forecasting, anomaly detection, or graph ML relevant to fintech applications will be highly valued. Key Responsibilities: - Solid understanding of MLOps concepts such as model versioning, deployment, and monitoring. - Proficient in working with cloud platforms (AWS/GCP/Azure) and ML services like SageMaker, Vertex AI. - Knowledge of Docker, Kubernetes, or other con...

As a Data Architect with Generative AI expertise, your role involves designing and implementing robust data architectures to support AI and machine learning workloads, specifically Generative AI applications. Your key responsibilities include: - Developing and optimizing data pipelines for training, validating, and deploying AI models efficiently and securely. - Integrating AI frameworks into data platforms to ensure scalability, low latency, and high throughput. - Collaborating with data scientists, AI engineers, and stakeholders to align data strategies with business goals. - Leading initiatives to ensure data governance, security, and compliance standards (e.g., GDPR, CCPA) are met in AI-...

As a member of the Infosys QualityEQS Team, your role will involve being a critical partner to all business units and functions in order to achieve excellence in business delivery and client experience. You will act as a change agent, setting benchmarking practices and sharing them across various project units. Your responsibilities will include the following key tasks: - Assess the complete ML development process - Handle Data Engineering tasks - Evaluate the maturity level of ML systems - Participate in Software Development activities - Provide recommendations for improvement in DevOps - Implement and maintain CI/CD pipelines for ML models - Monitor and manage model performance in producti...

As a Senior Computer Vision & AI Engineer at our company, you will play a crucial role in designing, developing, and deploying advanced computer vision and AI solutions tailored for the energy sector. Your responsibilities will include: - Designing, implementing, and deploying advanced computer vision and AI solutions within software products and solutions. - Expanding personal and team expertise in 2D and 3D data analytics. - Keeping up-to-date with the latest trends in computer vision, machine learning, and data science for practical applications in the energy sector. - Documenting developed methods and processes and presenting findings to stakeholders. - Collaborating with cross-functiona...

Role Overview: 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. Key Responsibilities: - Develop customer-centric solutions with recommended data model and business intelligence (BI) technologies. - Create repeatable, interpretable, dynamic, and scalable statistical models that are seamlessly incorporated into analytic data products, ability to discover correlations between variables and gen...

Role Overview: Embark on a journey to shape the future of AI at Techolution! As a Generative AI Intern in the AI Engineering department, you will be a key player in revolutionizing enterprise solutions. Your role will involve developing and implementing cutting-edge Generative AI models using Python, collaborating with cross-functional teams to optimize deep learning architectures, and applying advanced data structures and algorithms to enhance AI systems" efficiency and performance. This internship offers an unparalleled opportunity to deploy scalable AI applications on cloud platforms and solve real-world challenges. If you are passionate about transforming lab-grade AI into practical solu...

As a Lead Software Engineer (AI ML Engineer) at our vibrant international team, you will play a crucial role in developing and deploying AI/ML models for various applications. Your responsibilities will include: - Data Management and Integration: - Implement robust solutions for data storage and processing. - Integrate AI solutions seamlessly into existing business processes. - Build and maintain data pipelines for preprocessing, cleaning, and transforming data for AI applications. - AI Model Development and Deployment: - Develop and deploy AI/ML models for applications such as predictive analytics, computer vision, NLP, and automation. - Apply cloud hosting, edge devices, or hybrid solution...

You are a highly skilled and experienced Solution Architect specializing in Data & AI, responsible for leading and driving data-driven transformation within the organization. Your role involves designing and implementing cutting-edge AI and data solutions that align with business objectives. You will collaborate closely with cross-functional teams to create scalable, high-performance architectures leveraging modern technologies in data engineering, machine learning, and cloud computing. Key Responsibilities: - Architect and design end-to-end data and AI solutions to address business challenges and optimize decision-making. - Define and implement best practices for data architecture, data gov...

As a Technical Manager specializing in AI/ML at TechMango IT Services, your role will involve leading AI/ML solution design and delivery initiatives. Your responsibilities will include: - Technical Leadership & Architecture: - Defining AI/ML solution architecture across multiple client projects. - Guiding teams on model design, development, testing, deployment, and maintenance. - Reviewing algorithms for performance, scalability, and business fit. - Evaluating new tools, technologies, and best practices in AI/ML. - Project & Delivery Management: - Managing end-to-end delivery of AI/ML projects with quality, timeliness, and customer satisfaction. - Collaborating with cross-functional teams in...

As an Associate Vice President Data at Gurgaon location, you will play a crucial role in leading and managing a team of data analysts, data scientists, ML engineers, and BI specialists. Your responsibilities will include: - Developing and deploying predictive algorithms and models for various purposes such as credit risk, fraud detection, customer lifetime value, propensity, churn, personalization, and pricing. - Implementing frameworks for continuous learning and model retraining using live/trainable datasets, feedback loops, and model monitoring. - Overseeing data pipelines, feature engineering, data ingestion, storage, processing while ensuring data quality, governance, security, and priv...

As an AI/ML Engineer at YASH Technologies, you will be part of a dynamic team working with cutting-edge technologies to solve complex business problems and drive impactful data-driven decisions. Your role will involve designing, developing, and deploying sophisticated machine learning models, conducting in-depth data analyses, and collaborating with cross-functional teams to deliver actionable insights. Here are the key responsibilities: - AI Solution Development & Deployment: - Design and implement AI models and algorithms using Azure AI services like Azure Machine Learning, Cognitive Services, and Azure OpenAI. - Develop and deploy machine learning models with a focus on NLP and LLMs, util...

As an AI/ML Lead Engineer at Citi in the Finance, Market and Credit Risk Technology (FMCRT) team, you will have the exciting opportunity to work on cutting-edge AI/ML and Generative AI solutions to address complex business challenges. Your role will be crucial in driving innovation and technical excellence within the organization. **Key Responsibilities:** - Drive the identification and evaluation of new AI/ML/GenAI technologies and tools for building innovative solutions. - Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. - Mentor and guide junior engineers on best practices in AI/ML/GenAI development. - Stay updat...

Role Overview: As a Lead Engineer in AI/ML, you will be responsible for enhancing the current platform with AI/ML capabilities for Big Data. Your role will involve solutioning for the identified use cases, collaborating with the larger AI/ML stream across the data organization, and providing technical oversight across systems and applications. You will contribute to the formulation of strategies for applications development and other functional areas, ensuring the integration of business areas to accomplish business goals. Additionally, you will be expected to provide evaluative judgment based on the analysis of factual data in complicated and unique situations. Key Responsibilities: - Enhan...

As an AI/ML Engineer, you will be responsible for designing, developing, and deploying AI models and algorithms to solve business problems. Your key responsibilities will include: - Working with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. - Training, testing, and validating models using large datasets. - Integrating AI solutions into existing products and applications. - Collaborating with data scientists, software engineers, and product teams to build scalable AI solutions. - Monitoring model performance and continuously improving accuracy and efficiency. - Staying updated with the latest AI trends, tools, and best practices. - Ensuring AI models are ethical, unbi...

As a Data Engineering Lead, you will have the responsibility to lead and mentor a high-performing data pod consisting of data engineers, data analysts, and BI developers. Your role will involve designing, implementing, and maintaining ETL pipelines and data workflows to support real-time and batch processing. Additionally, you will be tasked with architecting and optimizing data warehouses for scale, performance, and security. Your expertise in advanced data analysis and modeling will be crucial in extracting insights to support business decisions. You will also lead data science initiatives such as predictive modeling, NLP, and statistical analysis. Key Responsibilities: - Lead and mentor a...