330 Model Deployment Jobs

As a Data Scientist at NeosAlpha, you will play a crucial role in designing, building, and optimizing machine learning models to deliver impactful data-driven solutions. Your responsibilities will include: - Design, build, and optimize classical ML models such as regression, SVM, decision trees, random forests, clustering, and dimensionality reduction. - Write clean, efficient, and scalable Python code using libraries like NumPy, Pandas, and Scikit-learn. - Implement and fine-tune deep learning models like CNNs, RNNs, and Transformers using frameworks such as TensorFlow or PyTorch. - Work with Generative AI models like LLMs, Transformers, GANs, and VAEs, contribute to prompt engineering, and...

As a Senior AI/ML Scientist (IC) at A.P. Moller - Maersk, you will play a crucial role in developing strategic recommendation systems to enhance supply chain execution and support decision-making processes. Your responsibilities will include designing and implementing machine learning models, conducting deep data analysis, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems. You will be expected to solve complex problems using NLP, deep learning, optimization, and computer vision techniques. **Key Responsibilities:** - Independently design and develop scalable AI/ML solutions using advanced design patterns, models, and algo...

As a Senior Analyst or Machine Learning Engineer at Tiger Analytics, you will have the opportunity to work on cutting-edge data analytics and machine learning problems across various industries. Your typical day will involve: - Engaging with clients to understand their business context. - Translating business problems and technical constraints into technical requirements for the desired analytics solution. - Collaborating with a team of data scientists and engineers to integrate AI and analytics into business decision processes. We expect you to have the following qualifications and skills: - 3+ years of experience with at least 1+ years of relevant Data Science experience. - Proficient in s...

As a Speech Architect, you will lead the development of cutting-edge speech recognition and processing systems, focusing on complex tasks such as speaker diarization, automatic speech recognition (ASR), Sentiment/Emotion recognition, and transcription. You will guide a team of engineers and collaborate closely with other departments to deliver high-impact solutions. - **Leadership:** Lead and mentor a team of speech engineers, providing technical guidance and ensuring the successful delivery of projects. - **System Design:** Architect and design end-to-end speech processing pipelines, from data acquisition to model deployment. Ensure systems are scalable, efficient, and maintainable. - **Adv...

As a Senior Data Scientist at our company (On-site in India), you will be responsible for leading end-to-end ML projects, translating business problems into technical solutions, designing experiments, and delivering production-ready models. Your role will involve developing, validating, and optimizing supervised and unsupervised models using Python, PySpark, and modern ML frameworks for tabular, time-series, and NLP tasks. You will also be expected to productionize models by implementing deployment pipelines, CI/CD best practices, and ensuring model monitoring, retraining, and observability in live environments. Collaborating with engineers and product owners to integrate ML services into sc...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision ). 5 years of experience leading the Machine Learning (ML) design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. 3 years of experience with software design and architecture. Preferred qualifications: Master's degree or PhD in Enginee...

Minimum qualifications: Bachelor's degree in Computer Science or a related technical field. 5 years of experience in software development using one or more programming languages. 2 years of experience with ML infrastructure, including model deployment, evaluation, optimization, data processing, and debugging. 1 year of experience in ML performance, large-scale systems data analysis, ML debugging, Large Language Models (LLMs), or a related ML field. Preferred qualifications: Experience in data structures and algorithms. Ability to manage product improvement through bug fixes and feature enhancements. Ability to develop advanced ML/AI infrastructure training materials and demos and collaborate...

About the Role We are seeking a Data Scientist who is passionate about turning data into actionable insights and deploying machine learning solutions into production. The ideal candidate will have strong foundations in statistics, machine learning, and data engineering , along with hands-on experience in model deployment (ML Ops) . Key Responsibilities Work with business stakeholders to identify opportunities for leveraging data to drive solutions. Build, train, and optimize machine learning models for real-world use cases (classification, regression, NLP, recommendation, etc.). Deploy ML models into production using ML Ops best practices (CI/CD pipelines, containerization, monitoring). Coll...

6+ years of experience in AI/ML/GenAI domains, with at least 1 year of experience in Generative AI. Strong understanding of LLM architectures, Agentic AI, prompt engineering, RAG pipelines, and memory systems (e.g., vector DBs). Experience in building agents using frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, or similar. Proficiency in Python and relevant Gen AI libraries (Transformers, HuggingFace, OpenAI API, etc.). Experience deploying solutions on at least one cloud platform (AWS, Azure, or GCP). Strong problem-solving skills and ability to work in a fast-paced, agile environment.

As a Python AI/ML Developer at the company, your main responsibilities will include: - Assisting in the development and implementation of machine learning models and algorithms. - Writing clean, efficient, and reusable Python code for data processing, modeling, and deployment. - Working on datasets by performing tasks such as data cleaning, preprocessing, feature engineering, and visualization. - Collaborating with senior data scientists and developers to build scalable ML solutions. - Conducting literature reviews and staying updated on the latest ML/AI research. - Contributing to model deployment and integration with APIs or web applications (basic knowledge is sufficient). The desired pro...

As a Machine Learning Operations (MLOps) Engineer at Neolytix working on US Healthcare Claims Management, your role will involve building, deploying, and maintaining AI/ML systems for the healthcare Revenue Cycle Management (RCM) platform. You will be responsible for operationalizing machine learning models to analyze claims, prioritize denials, and optimize revenue recovery through automated resolution pathways. **Key Responsibilities:** - Design and implement end-to-end ML pipelines for claims processing, including automated training, testing, and deployment workflows - Deploy and orchestrate LLMs and SLMs in production using containerization (Docker/Kubernetes) and Azure cloud services - ...

Role Overview: PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey, with expert teams of Business Analysts across various locations. The firm provides Analytics and Business Solutions to a diverse clientele in the BioPharma sector, with expertise in Forecasting, Business Analytics, Competitive Intelligence, and more. They cater to clients in different therapeutic areas such as Oncology, Immuno-science, CNS, CV-Met, and Rare Diseases, across Primary Care, Specialty Care, and Hospital business units. Key Responsibilities: - Analyze different pharmaceutical/life sciences data sets including claims data, electronic medical records, patient level data,...

Job Description At Oracle Cloud Infrastructure (OCI), we're reimagining how enterprise cloud operations workand we want you to be part of it. OCI is a hyperscale cloud platform where operations are central to customer success. To scale and stay ahead, we're automating incident detection, diagnosis, and resolutionpushing the boundaries of AI and GenAI in cloud operations. As an ML Engineer, you'll design and build intelligent AI solutions that proactively manage cloud environments, enhance operational excellence, and deliver world-class customer experiences. If you're passionate about solving complex technical challenges and shaping the future of the autonomous cloud, this is your moment. Res...

Apply Here: https://zrec.in/PXeJO?source=CareerSite design, build, and deploy AI/ML and Generative AI solutions on Azure. Develop pipelines, productionize models, and collaborate with teams to deliver scalable enterprise AI use cases. Required Candidate profile Experienced Data Scientist skilled in Python, TF/PyTorch, Azure ML/OpenAI, LLMs & embeddings, vector DBs, MLOps with Docker/K8s, SQL, and end-to-end model deployment.

Job Responsibilities - Develop and implement advanced machine learning models to solve complex business problems, translating analytical findings into tangible business solutions. Develop computer vision algorithms and deploy them to production environments, ensuring seamless integration with existing systems and infrastructure. Understand business requirements by working closely with domain experts to define problem statements and success metrics that align with organizational goals. Collaborate with data engineers to design and implement efficient data pipelines that support model development, training, and deployment. Analyse large datasets to extract meaningful insights, identify pattern...

Job Responsibilities - Develop and implement advanced machine learning models to solve complex business problems, translating analytical findings into tangible business solutions. Develop computer vision algorithms and deploy them to production environments, ensuring seamless integration with existing systems and infrastructure. Understand business requirements by working closely with domain experts to define problem statements and success metrics that align with organizational goals. Collaborate with data engineers to design and implement efficient data pipelines that support model development, training, and deployment. Analyse large datasets to extract meaningful insights, identify pattern...

Job Responsibilities - Develop and implement advanced machine learning models to solve complex business problems, translating analytical findings into tangible business solutions. Develop computer vision algorithms and deploy them to production environments, ensuring seamless integration with existing systems and infrastructure. Understand business requirements by working closely with domain experts to define problem statements and success metrics that align with organizational goals. Collaborate with data engineers to design and implement efficient data pipelines that support model development, training, and deployment. Analyse large datasets to extract meaningful insights, identify pattern...

Role Overview: As the founding ML Scientist, you will be responsible for designing and deploying the core recommendation and personalisation systems that drive the matchmaking experience. Your role will involve owning the full lifecycle of these systems, from design to deployment, and establishing the groundwork for a scalable, real-time ranking infrastructure. Key Responsibilities: - Own and develop match-making, recommendation, ranking, and personalisation systems. - Work on creating a novel real-time adaptive matchmaking engine that learns from user interactions and other signals. - Design ranking and recommendation algorithms to tailor each user's feed for a curated experience. - Build u...

Overview We are seeking a Data scientist focusing on statistical modeling components, building classification, prediction, and optimization systems for the Claims Operations workflows . Responsibilities Develop classification and prediction models. Create pattern recognition systems for claims processing. Build optimization components for workflow efficiency. Implement evaluation metrics for model quality. Support user enablement and training. Assist with model documentation and knowledge transfer. Qualifications Develop classification and prediction models. Create pattern recognition systems for claims processing. Build optimization components for workflow efficiency. Implement evaluation m...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains. 3 years of experience in a technical leadership role; overseeing projects. 2 years of experience in a people management, supervision/team leadership role. Preferred qualifications: Master's degree or PhD in Computer ...

You will be joining a team at EG dedicated to developing and maintaining an AI assistance solution for service and support. As an ML Ops / Cloud Engineer with 5 years of experience, your responsibilities will include designing, implementing, and managing the cloud infrastructure on AWS, deploying AI models at scale, and ensuring the operational excellence of our AI products based on AWS Large Language Models (LLMs). **Role Overview:** You will be a part of a newly set up team within the EG IT department, focused on supporting clients and employees with their daily activities. This team will closely cooperate with the ServiceNow team as the AI-based product will be integrated with ServiceNow ...

As a Data Scientist at our company, you will be responsible for supporting the development and deployment of machine learning models and analytics solutions aimed at improving decision-making across the mortgage lifecycle. Your key responsibilities will include: - Developing and maintaining machine learning models and statistical tools for various use cases such as risk scoring, churn prediction, segmentation, and document classification. - Collaborating with Product, Engineering, and Analytics teams to identify data-driven opportunities and support automation initiatives. - Translating business questions into modeling tasks and contributing to the design of experiments and success metrics. ...

As an Assistant Vice President (C12) in the TTS Analytics team at Citi, you will play a crucial role in leading a team of data scientists and analysts. Your responsibilities will include working on various data science projects throughout the year, focusing on business problems across the client life cycle such as acquisition, engagement, client experience, and retention within the TTS business. You will be expected to understand business needs, design, develop, and deploy machine learning models, and effectively communicate insights and recommendations to stakeholders. Key Responsibilities: - Lead a team of data scientists and analysts responsible for the full lifecycle of machine learning ...

As an AI Engineer at Sundew, your role will involve designing, building, and deploying AI-driven solutions, leveraging ML frameworks, programming expertise, and cloud platforms to drive innovation and deliver transformative value to global clients. Key Responsibilities: - Develop and deploy machine learning and deep learning models. - Collaborate with data engineers to prepare and optimize datasets. - Build scalable model training and inference pipelines. - Evaluate and fine-tune model performance. - Integrate AI solutions into products and internal systems. - Stay updated with the latest AI research and tools. Qualifications Required: - Proficiency in Python with ML libraries (TensorFlow, P...

Seeking an experienced Gen AI Architect with expertise in Generative AI, Azure OpenAI, AWS Bedrock, LangChain, and RAG. Responsible for architecting, fine-tuning, and deploying scalable AI/ML models. Required Candidate profile AI/ML professional (7–10 yrs) with hands-on experience in Generative AI, LLMs, LangChain, Azure OpenAI, Python, and PyTorch. Strong in model deployment, prompt engineering, and data pipelines.