471 Model Deployment Jobs - Page 5

Job Application links: For Sr. AI/ML Engineer: https://app.fabrichq.ai/jobs/16bac513-b51a-48e3-8291-7fa36c3c8bbd For Lead AI/ML Engineer: https://app.fabrichq.ai/jobs/2038ab65-2dc1-4573-8305-17df6bce4202 Job Summary: Fission Labs is hiring Senior and Lead AI/ML Engineers to design, build, fine-tune, and deploy advanced Generative AI and Large Language Model (LLM) solutions. This role involves working with complex datasets, transformer architectures, MLOps pipelines, and deploying production-grade AI systems that solve high-impact business problems. If you have strong experience in generative AI, deep learning, LLMs, HuggingFace, PyTorch , and want to work on real-world applied AI this is the...

As a Manager, FC DT Customer Mntrg at HSBC, you will be responsible for data analytics and data science support. Your tasks will include writing codes from scratch to extract raw data from Bank data platforms, analyzing large quantities of data to extract useful information and insights, and building diagrammatic visuals to present data effectively. You are expected to ensure timely and accurate delivery of analytical outputs at a rapid tempo and for a diverse set of internal and external audiences. Key Responsibilities: - Writing BigQuery/SQL/Python code to perform data analytics for financial crime risk detection - Applying optimal combinations of applied mathematics, statistics, visualiza...

As an AI Engineer specializing in large language models (LLMs) and machine learning, your role will involve integrating LLMs, developing agentic workflows, and optimizing ML models to enhance cybersecurity investigation, prioritization, and response. You will work on building intelligent systems within a cloud security platform to improve alert prioritization, classification, and contextualization, ultimately enabling faster decision-making processes. Key Responsibilities: - Build, fine-tune, and integrate large language models (LLMs) into existing systems. - Develop agentic workflows for investigation, classification, and automated response in cybersecurity. - Apply techniques like retrieva...

Who are we Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, healthcare, and manufacturing. About the Role We are looking for a skilled and hands-on Data Scientist with 45 years of experience in developing and deploying machine learning modelsranging from traditional ML algorithms to advanced deep learning and Generative AI systems. The ideal candidate brings a strong foundation in classification, anomaly detection, and time...

As a recent PhD graduate in Computer Science, Machine Learning, AI, or a related field, you have the opportunity to join a cutting-edge team at FourKites. Your role will involve tackling complex challenges in large language models (LLMs), optical character recognition (OCR), and model scaling to push the boundaries of what's possible in machine learning. **Key Responsibilities:** - Lead research initiatives to enhance OCR accuracy across diverse document types and languages. - Train and fine-tune LLMs with domain-specific data for improved performance in specialized contexts. - Develop efficient techniques to scale LLMs for high-volume production environments. - Design and implement novel ap...

Data Scientist (Video & Image Generation) - 3+ Years, immediate joiner, location agnostic Required / Must-Have Strong background in Machine Learning, Deep Learning, and Computer Vision Hands-on experience with Generative AI models (diffusion, transformer, or latent video models) Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience designing and optimizing video and image generation pipelines Familiarity with Azure Machine Learning and cloud-based training/inference workflows Experience with GPU-based training, distributed computing, and model deployment Knowledge of multimodal data handling (text, image, video, audio) Experience working with models like Sora, Veo,...

Your role People Leadership & Culture Building Lead, mentor, and grow a high-performing AI delivery team. Foster a culture of innovation, collaboration, and continuous learning. Drive employee engagement and career development through structured programs. Champion diversity, inclusion, and psychological safety within the team. Service Delivery & Operational Excellence Own end-to-end delivery of AI solutions across business units. Establish and monitor KPIs, SLAs, and quality benchmarks. Implement best practices in agile delivery, DevOps, and MLOps. Ensure scalability, reliability, and performance of AI services. Customer Focus & Stakeholder Management Act as the primary point of contact for ...

We are looking for an AI Engineer with hands-on experience designing and deploying scalable AI solutions. In this role, you will be part of a cross-functional team working on cutting-edge projects involving Retrieval-Augmented Generation (RAG), agentic frameworks, and end-to-end MLOps workflows. You'll take ownership of translating complex business problems into AI solutions from the ground upfrom initial problem analysis and architecture design through to production deployment and monitoring. You'll play a key role in developing AI applications using modern frameworks and libraries, while applying advanced prompt engineering techniques and ensuring robust monitoring and performance tracing....

Roles and Responsibilities: Technical Leadership Architect, design, and implement scalable machine learning systems for optimized content delivery, connectivity, and personalization. Lead decision-making for ML infrastructure, cloud-based data pipelines, and deployment strategies. Define best practices for ML system design, versioning, and continuous integration. ML Model Development Build, train, and deploy predictive and generative models using frameworks such as TensorFlow, PyTorch, and Scikit-learn. Optimize model performance for scalability, latency, and resource efficiency. Collaborate with data scientists and engineers to integrate models into production environments. Innovation & Res...

Role Overview: You will be working as a Senior AIML Research and Development Engineer at Welocalize, a global transformation partner specializing in multilingual content transformation services. In this role, you will lead complex AI/ML projects, mentor junior engineers, and conduct cutting-edge research to enhance AI technologies. Your expertise in machine learning, algorithm design, and model deployment will be crucial for driving innovations in language services. Key Responsibilities: - Lead the development of AI/ML models and solutions for advanced applications - Drive research initiatives to optimize algorithms and methodologies - Oversee the design and implementation of scalable AI sys...

Role Overview: As an AI Software Lead with 7-10 years of relevant experience, your main responsibility will be to design, develop, and deploy scalable AI solutions with a focus on production. You will need to emphasize MLOps best practices and have deep proficiency in AI model engineering. Key Responsibilities: - Training and fine-tuning large language models (LLMs) and other deep learning architectures. - Model optimization, quantization, and deployment to ensure low latency and high throughput. - Conducting model evaluation and monitoring in production environments. - Building and integrating AI capabilities such as computer vision, NLP, and recommendation systems into production-grade Web...

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Adobe stands out as a to...

As an AI/ML Scientist on the Global Data and Analytics (GDA) team at A.P. Moller - Maersk, your primary focus will be on supporting the development of strategic recommendation systems that provide actionable insights to enhance supply chain execution and enable innovative service offerings for both internal stakeholders and external customers. You will play a crucial role in designing, developing, and implementing machine learning models, conducting deep data analysis, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems. **Key Responsibilities:** - Design, develop, and implement machine learning models to support decision-m...

Job Title: AIML Engineer ML Engineering, MLOps & GenAI Company: Amzur Technologies Location: Hyderabad / Bangalore / Visakhapatnam / Remote (India) Experience: 5 – 10 Years ( 2 years in production-grade ML/AI systems) Notice Period: Immediate to 30 Days (Preferred) Employment Type: Full-Time About the Role We are looking for a hands-on AIML Engineer to join our GenAI & Advanced Analytics team. You will design, build, and deploy AI/ML systems from start to finish. You should have strong ML skills, software engineering experience, and a passion for building real-world AI solutions. What You Will Do ML Engineering Build, train, test, validate, and deploy ML models using Python, scikit-learn, XG...

Job Description You will be joining a Pre-seed funded startup in the Retail e-commerce domain as a Data and AI Engineering Lead at Hyrezy, a valued client of the company. About The Role As a Data and AI Engineering Lead, you will be responsible for spearheading data-driven AI initiatives in the retail eCommerce domain. Your role will involve leading the design, development, and deployment of AI and data engineering solutions, driving best practices in AI and machine learning, managing cross-functional teams, and collaborating with various teams to align AI solutions with business goals. Additionally, you will oversee MLOps practices and drive innovation using advanced AI techniques. Key Resp...

As a software engineer at Google, you will play a crucial role in developing next-generation technologies that impact billions of users worldwide. Your work will encompass various areas such as information retrieval, distributed computing, system design, networking, security, AI, UI design, and mobile applications. You will have the opportunity to work on projects vital to Google's operations, with the flexibility to switch teams and projects as the business evolves. Versatility, leadership qualities, and a passion for solving new challenges are essential qualities we look for in our engineers. Key Responsibilities: - Write and test product or system development code. - Collaborate with peer...

As a Manager, FC DT Customer Monitoring at HSBC, your role will involve utilizing data analytics and data science to support financial crime risk detection. Your responsibilities will include: - Writing BigQuery/SQL/Python code for data analytics, data transformation, and model development - Applying optimal combinations of mathematics, statistics, visualization, and data engineering to combat financial crime - Developing a clear vision for model understanding and deployment pipeline - Ensuring timely and accurate delivery of analytical outputs for various audiences - Building necessary skills through targeted training and personal development Additionally, you will need to meet the followin...

Role Overview: At EG, you will be part of a newly established international team dedicated to developing and maintaining a cutting-edge AI assistance solution for service and support. As a DevOps & ML Ops Engineer with a minimum of 5 years of experience, your primary responsibility will be to design, implement, and manage the cloud infrastructure, deploy AI models at scale, and ensure the operational excellence of AI products based on AWS Large Language Models (LLMs). You will collaborate closely with Data Scientists and Software Engineers to translate ML models into production-ready solutions while ensuring compliance with security policies and data governance standards within AWS infrastru...

Immediate opening for " AI/ML Engineer" Job Title: AI/ML Engineer Job Location: Chennai (Hybrid) Experience Required: 4 - 8 Years Job Requirement: Strong experience handling large datasets and scalable model architectures. Ability to modernize legacy models using contemporary ML & AI frameworks . Strong foundation in Regression, ML algorithms, Feature Engineering, Evaluation Metrics . Experience integrating Gen-AI / LLM-based assistance into data workflows. Skilled in effective prompting and leveraging GPT-5 for model and workflow enhancement. Job Responsibilities: Upgrade and optimize existing ML models for performance and scalability. Introduce modular, reusable, and future-proof ML soluti...

Your Role Must have experience with Machine Learning Model Development. Expert level proficiency in Data Handling (SQL). Hands-on with Model Engineering and Improvement. Strong experience in Model Deployment and Productionlization. Your Profile 5-14 years of experience in developing and implementing Machine Learning, Deep Learning, and NLP models across various domains. Strong proficiency in Python, including relevant libraries and frameworks such as scikit-learn, XGBoost, and Keras. Proven experience in enhancing model accuracy through techniques such as feature engineering, feature selection, and data augmentation. Strong expertise in deploying machine learning models to production systems...

Your Role Must have experience with Machine Learning Model Development. Expert level proficiency in Data Handling (SQL). Hands-on with Model Engineering and Improvement. Strong experience in Model Deployment and Productionlization. Your Profile 5-14 years of experience in developing and implementing Machine Learning, Deep Learning, and NLP models across various domains. Strong proficiency in Python, including relevant libraries and frameworks such as scikit-learn, XGBoost, and Keras. Proven experience in enhancing model accuracy through techniques such as feature engineering, feature selection, and data augmentation. Strong expertise in deploying machine learning models to production systems...

Your Role Must have experience with Machine Learning Model Development. Expert level proficiency in Data Handling (SQL). Hands-on with Model Engineering and Improvement. Strong experience in Model Deployment and Productionlization. Your Profile 5-14 years of experience in developing and implementing Machine Learning, Deep Learning, and NLP models across various domains. Strong proficiency in Python, including relevant libraries and frameworks such as scikit-learn, XGBoost, and Keras. Proven experience in enhancing model accuracy through techniques such as feature engineering, feature selection, and data augmentation. Strong expertise in deploying machine learning models to production systems...

Your Role Must have experience with Machine Learning Model Development. Expert level proficiency in Data Handling (SQL). Hands-on with Model Engineering and Improvement. Strong experience in Model Deployment and Productionlization. Your Profile 5-14 years of experience in developing and implementing Machine Learning, Deep Learning, and NLP models across various domains. Strong proficiency in Python, including relevant libraries and frameworks such as scikit-learn, XGBoost, and Keras. Proven experience in enhancing model accuracy through techniques such as feature engineering, feature selection, and data augmentation. Strong expertise in deploying machine learning models to production systems...

Your Role Must have experience with Machine Learning Model Development. Expert level proficiency in Data Handling (SQL). Hands-on with Model Engineering and Improvement. Strong experience in Model Deployment and Productionlization. Your Profile 5-14 years of experience in developing and implementing Machine Learning, Deep Learning, and NLP models across various domains. Strong proficiency in Python, including relevant libraries and frameworks such as scikit-learn, XGBoost, and Keras. Proven experience in enhancing model accuracy through techniques such as feature engineering, feature selection, and data augmentation. Strong expertise in deploying machine learning models to production systems...

Machine Learning Engineer- 2 VACANCIES Location: Bangalore EARLY JOINERS WILL BE PREFERRED Compensation: Senior ML Engineer: Up to 40 LPA (68 years experience) ML Engineer Level 2: Up to 30 LPA (3–6 years experience) Role 1: Senior Machine Learning Engineer Position Overview: As a Senior Machine Learning Engineer , you will design, implement, and optimize cutting-edge AI and ML solutions to drive innovation and impact. You’ll lead end-to-end ML lifecycle — from research and development to deployment — working closely with cross-functional teams to deliver scalable and high-performing AI systems. Key Responsibilities: Architect, build, and optimize AI product features and ML systems. Lead the...