334 Model Deployment Jobs - Page 2

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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Warsaw, Poland; Bengaluru, Karnataka, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience working with Generative AI, Vertex AI and Generative AI Agent. 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization ...

As a Solution Architect AI/ML at Space Inventive, you will be responsible for designing and delivering advanced architectures for AI and Generative AI applications. This role demands a blend of technical depth and architectural visionturning business requirements into scalable, secure, and high-performing AI solutions. You will play a key part in shaping solution blueprints, guiding development teams, and ensuring successful implementation of enterprise-grade AI applications. Architectural Design & Enterprise Solutions -Design and implement robust, scalable architectures for AI/ML applications, including LLMs, RAG pipelines, agentic orchestration, and vector databases with built-in guardrail...

Deploy and monitor ML models in production. Build CI/CD pipelines and manage infrastructure for scalable AI operations. •Deploy and monitor ML models •Build CI/CD pipelines for ML workflows •Manage model registries and feature stores •Ensure system reliability and automate retraining Must have- Docker/Kubernetes, GitHub/GitLab CI, MLflow, model deployment Good to have- AIOps tools, automation scripting, feature store management

Key Responsibilities: Machine Learning Model Development: Design, implement, and deploy machine learning models to address complex challenges in the insurance domain. Work on diverse projects, leveraging machine learning techniques to extract insights and drive business value. Machine Learning Pipelines: Design and implement ETL processes for Machine Learning to ensure accurate and timely data integration from multiple sources. Build and optimize end-to-end machine learning pipelines, ensuring scalability, efficiency, and maintainability. Collaborate with data engineers to integrate machine learning models into production systems. Artificial Intelligence: Apply knowledge and experience in wo...

Key Responsibilities: Machine Learning Model Development: Design, implement, and deploy machine learning models to address complex challenges in the insurance domain. Work on diverse projects, leveraging machine learning techniques to extract insights and drive business value. Machine Learning Pipelines: Design and implement ETL processes for Machine Learning to ensure accurate and timely data integration from multiple sources. Build and optimize end-to-end machine learning pipelines, ensuring scalability, efficiency, and maintainability. Collaborate with data engineers to integrate machine learning models into production systems. Artificial Intelligence: Apply knowledge and experience in wo...

Key Responsibilities: Machine Learning Model Development: Design, implement, and deploy machine learning models to address complex challenges in the insurance domain. Work on diverse projects, leveraging machine learning techniques to extract insights and drive business value. Machine Learning Pipelines: Design and implement ETL processes for Machine Learning to ensure accurate and timely data integration from multiple sources. Build and optimize end-to-end machine learning pipelines, ensuring scalability, efficiency, and maintainability. Collaborate with data engineers to integrate machine learning models into production systems. Artificial Intelligence: Apply knowledge and experience in wo...

Key Responsibilities: Machine Learning Model Development: Design, implement, and deploy machine learning models to address complex challenges in the insurance domain. Work on diverse projects, leveraging machine learning techniques to extract insights and drive business value. Machine Learning Pipelines: Design and implement ETL processes for Machine Learning to ensure accurate and timely data integration from multiple sources. Build and optimize end-to-end machine learning pipelines, ensuring scalability, efficiency, and maintainability. Collaborate with data engineers to integrate machine learning models into production systems. Artificial Intelligence: Apply knowledge and experience in wo...

Description We are seeking a talented GenAI Developer to join our team in India. The ideal candidate will have 3-10 years of experience in developing and implementing AI solutions, with a focus on generative models. You will work on innovative projects that leverage cutting-edge technologies to drive business value. Responsibilities Design, develop, and implement Generative AI models and solutions. Collaborate with cross-functional teams to gather requirements and define project scope. Conduct experiments to evaluate and optimize model performance. Stay updated with the latest advancements in AI and machine learning technologies. Document development processes, code, and test results for fut...

Preferred Qualifications: Experience in AI/ML in the healthcare sector Experience working with cross-functional and distributed teams in a global and diverse environment Experience in establishing AI/ML best practices, standards, RUAI, and ethics Required Qualifications: Proven solid Python programming skills and experience with deep learning popular frameworks such as PyTorch Proficiency in SQL and other programming languages for data analysis and modeling Proficiency with cloud development environments such as Azure, AWS, and GCP Proven in-depth knowledge in Generative AI technology and Large Language Models (LLM)Experience with LLM frameworks and/or NLP approaches such as text embedding E...

Role Overview: As a Machine Learning Engineer at the company, you will be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex problems. Your role will involve close collaboration with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. You will play a key part in building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Key Responsibilities: - Develop and optimize machine learning models for various applications. - Preprocess and analyze large datasets to extract meani...

Key Responsibilities: Data Science Consultant with machine learning and Python experience Knowledge on end to end architecture of Data Science and machine learning project Experience in productionizing machine learning models and guide development team for implementing machine learning use cases The candidate should provide technology consulting for defining right Data Science and ML use cases Technical Requirements: Data collection profiling EDA data preparation AI Model development tuning validation Visualization tools e g PowerBI tableau Present findings to business users project management teams Propose ML based solution approaches and estimates for new use cases Contribute to AI based m...

As a Machine Learning Engineer at our company, your primary focus will be applying Natural Language Processing (NLP) AI techniques, conducting machine learning tasks, and developing high-quality prediction systems for data classification. You will also be responsible for presenting information through data visualization techniques and undertaking data collection, preprocessing, and harmonization. **Roles and Responsibilities:** - Develop applications in machine learning and artificial intelligence - Select features, build, and optimize classifiers using machine learning techniques - Understand business objectives and develop models to achieve them, along with tracking progress metrics - Mana...

As a Senior Consultant, Data Scientist in the Supply Chain Consulting team at NTT DATA, you will play a crucial role in developing and deploying cutting-edge supply chain solutions for leading organizations. Your primary responsibility will be to design and implement time series forecasting models for demand planning and other supply chain use cases using both traditional statistical models and modern machine learning techniques. **Responsibilities:** - Design, develop, and implement time series forecasting models for demand planning and other supply chain use cases. - Apply statistical techniques such as ARIMA, ETS etc for effective & strong baseline modeling. - Implement and optimize machi...

Role Overview: Join Cisco's AI Platform Team to shape the future of enterprise AI by creating the next-generation foundation that powers intelligent, secure, and scalable AI solutions across Cisco's ecosystem. You will collaborate with AI researchers, data scientists, and engineers to design, develop, and operationalize AI systems that drive measurable business impact for millions of users worldwide. If you are passionate about solving technical problems and transforming enterprise security and networking with AI, this is the place for you. Key Responsibilities: - Model Training & Evaluation: Conduct full training, fine-tuning, and validation of LLMs for virtual assistants, chatbots, and rec...

As a Global Healthcare Consulting Firm, PharmaACE is dedicated to providing Analytics and Business Solutions to a diverse range of clients in the pharmaceutical and life sciences industry. We are seeking a talented individual to join our team in the role of a Business Analyst. **Key Responsibilities:** - Analyze various pharmaceutical and life sciences data sets such as claims data, electronic medical records, patient level data, prescription data, and sales data - Communicate findings to clients and collaborate with onshore team members - Develop and nurture client relationships while acting as a key offshore contact for projects - Understand business objectives and create models to support...

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...

Design, deploy & monitor ML pipelines on GCP using Vertex AI, Dataflow, BigQuery. Migrate on-prem/Hadoop models to GCP. Implement Feature Store, MLflow tracking, & post-model monitoring for Data & Model Drift. Required Candidate profile 4–9 yrs of hands-on experience in MLOps using Python, Spark/PySpark, and GCP. Skilled in CI/CD, Docker, Terraform, and ML pipeline automation for model deployment, monitoring, and retraining.

**Job Description:** As a C14 (People Manager) in the Financial Crimes & Fraud Prevention Analytics Model Development team at Citi Analytics & Information Management (AIM) based in Pune, India, you will play a crucial role in leading a team of 15+ data scientists. Your primary responsibility will be to oversee the successful development and implementation of Machine Learning (ML), Artificial Intelligence (AI), and Generative AI models on various platforms to mitigate fraud losses and minimize customer impact. You will work closely with the model implementation team, ensure model documentation, and address questions from model risk management (MRM) while adapting to business needs. Additional...

Experience : 3.00 + years Salary : INR 3000000-3500000 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: GRG Health) (*Note: This is a requirement for one of Uplers client - GRG Health) What do you need for this opportunity Must have skills required: Python, FastAPI, LangChain, PyTorch, TensorFlow, VectorDBs, Model deployment, MLOps, data pipeline orchestration GRG Health is Looking for: Responsibilities Build AI-driven modules for HCP targeting, clustering, and lead scoring. Develop and deploy LLM-based recruiter agents (LangChai...

Experience : 3.00 + years Salary : INR 3000000-3500000 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: GRG Health) (*Note: This is a requirement for one of Uplers client - GRG Health) What do you need for this opportunity Must have skills required: Python, FastAPI, LangChain, PyTorch, TensorFlow, VectorDBs, Model deployment, MLOps, data pipeline orchestration GRG Health is Looking for: Responsibilities Build AI-driven modules for HCP targeting, clustering, and lead scoring. Develop and deploy LLM-based recruiter agents (LangChai...

We are seeking a highly skilled and innovative Gen AI Engineer with 412 years of experience in designing, developing, and deploying advanced Generative AI solutions The role requires deep expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and frameworks like LangChain and Llama The candidate should have strong hands-on experience in building and fine-tuning AI/ML models using TensorFlow, PyTorch, and Keras, along with proficiency in Python for model development and API integration Responsibilities include developing AI pipelines for data ingestion, training, and deployment, implementing Prompt Engineering techniques, integrating Vector Databases for contextual r...