184 Model Deployment Jobs - Page 2

The AI/ML Manager position at Blue Data Consulting & IT Services Pvt Ltd involves leading artificial intelligence and machine learning initiatives. As the AI/ML Manager, your primary responsibility will be to guide the AI/ML team in developing and maintaining advanced machine learning models and algorithms. You will collaborate with cross-functional teams to address business challenges through AI-driven solutions and design end-to-end machine learning pipelines, from data collection to model deployment. It is essential to ensure the scalability, efficiency, and performance of AI/ML models in production environments. Additionally, you will provide technical guidance and mentorship to team mem...

As a Python Developer at our company, you will be responsible for developing, deploying, and optimizing Python-based applications for Visual AI tasks such as image classification, object detection, and image generation. Your expertise in Django and Flask, along with your proficiency in Django Rest Framework (DRF), will be crucial in this role. Additionally, you will work with machine learning concepts and tools like PyTorch, TensorFlow, and transformer architectures. Your key responsibilities will include designing and implementing machine learning models using frameworks like TensorFlow, PyTorch, and OpenCV. You will collaborate with cross-functional teams to integrate Visual AI capabilitie...

We are searching for a highly skilled and experienced Python Developer to become a valuable part of our dynamic team. The ideal candidate should possess a robust background in developing web applications utilizing Django and Flask, along with expertise in deploying and managing applications on AWS. It is essential to have proficiency in Django Rest Framework (DRF), a solid grasp of machine learning concepts, and practical experience with tools such as PyTorch, TensorFlow, and transformer architectures. Your primary responsibilities will include developing, deploying, and optimizing Python-based applications for Visual AI tasks like image classification, object detection, and image generation...

AI/ML Models:Python-based models (e. g. :Scikit-Learn, TensorFlow) Responsibilities Design, develop, and implement machine learning models using Python. Perform data preprocessing, cleaning, and feature engineering. Train and evaluate machine learning models. Integrate models into production systems. Collaborate with cross-functional teams to meet project goals. Continuously improve model performance and scalability. Document model development processes and findings. Qualifications Bachelors degree in Computer Science, Engineering, or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn. Proven experience with Python programming language. ...

As an AI/ML Technical Lead at Cambridge University Press & Assessment, you will play a crucial role in shaping and implementing cutting-edge AI solutions that drive innovation within our organization. Your responsibilities will include leading a technical team working at the intersection of natural language processing, large language models, learning and assessment analytics, product development, and user security & safety. Cambridge University Press & Assessment is a distinguished global academic publisher and assessment organization proudly affiliated with the prestigious University of Cambridge. Our commitment is to excel in education, learning, and research on a global scale, empowering ...

About the Role We are seeking a highly skilled Senior NLP Engineer with expertise in large language models (LLMs), prompt engineering, and transformer-based architectures. The ideal candidate will have strong experience fine-tuning, deploying, and optimizing advanced NLP models for real-world applications such as summarization, text generation, and question answering. You will collaborate with cross-functional teams to design scalable, production-ready solutions while addressing challenges such as bias, hallucinations, and knowledge cutoffs. Key Responsibilities: Fine-tune pre-trained models on domain-specific datasets to optimize for summarization, text generation, question answering, and r...

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. 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 in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years...

We are seeking a highly skilled Machine Learning Engineer or AI Model Developer with a minimum of 5 years of practical experience in constructing, training, and implementing customized AI models. The perfect candidate will possess hands-on expertise in developing and refining machine learning models rather than merely incorporating pre-existing models through APIs. You should exhibit natural abilities such as being smart, self-motivated, responsible, and an out-of-the-box thinker. Additionally, you should be detail-oriented, a powerful analyzer, and possess excellent written communication skills. Requirements: - Minimum of 5 years of practical experience in creating custom machine learning m...

You are a highly skilled and innovative Data Scientist who is passionate about advancing the fields of Classical Machine Learning, Conversational AI, and Deep Learning Systems. Your role involves developing cutting-edge AI-based systems and translating complex mathematical challenges into actionable machine learning models to ensure seamless and engaging user experiences. You will be actively participating in a wide variety of Natural Language Processing (NLP) tasks, refining and optimizing prompts to enhance the performance of Large Language Models (LLMs) such as GPT, BERT, and T5. Your key responsibilities include: - Developing innovative Generative AI solutions using machine learning and ...

As a Speech Architect, you will play a crucial role in leading the development of cutting-edge speech recognition and processing systems, with a specific focus on tasks such as speaker diarization, automatic speech recognition (ASR), sentiment/emotion recognition, and transcription. Your responsibilities will involve guiding a team of engineers and fostering close collaboration with other departments to deliver impactful solutions. You will be tasked with leading and mentoring a team of speech engineers, providing them with technical guidance and ensuring the successful execution of projects. Additionally, you will be responsible for architecting and designing end-to-end speech processing pi...

This is a part-time on-site role for a Freelance Visiting Faculty/Corporate Trainer specializing in Data Science and Machine Learning. You will be responsible for conducting training sessions and sharing your expertise in the field with the participants. The location for this role can be in Mumbai, Coimbatore, or Trichy. To qualify for this position, you should possess: - Proficiency in Data Science and Machine Learning concepts - Previous experience in teaching or training in the field of Data Science and Machine Learning - Strong communication and presentation skills - Expertise in relevant tools and technologies commonly used in Data Science and Machine Learning - Good knowledge of ML fra...

As the founding ML Scientist, you will be responsible for designing and deploying the core recommendation and personalization systems that drive our matchmaking experience. Your role will involve owning the entire lifecycle - from the initial design phase to deployment - while establishing a robust foundation for a scalable, real-time ranking infrastructure. In this position, your key responsibilities will include: - Owning and developing match-making, recommendation, ranking, and personalization systems. - Working on building a real-time adaptive matchmaking engine that can learn from user interactions and various signals. - Designing ranking and recommendation algorithms to create a person...

As a trusted global transformation partner, you will accelerate the global business journey by enabling brands and companies to reach, engage, and grow international audiences. You will deliver multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, you will deliver high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Your team works across locations in North America, Europe, and Asia serving gl...

We are looking for a talented individual who has recently completed their PhD to join our cutting-edge team. This position is specifically tailored for fresh PhD graduates who are eager to apply their research expertise in a dynamic industry setting. In this role, you will be tasked with tackling complex challenges in large language models (LLMs), optical character recognition (OCR), and model scaling. You will have the opportunity to be at the forefront of developing and optimizing AI systems that push the boundaries of what's possible in machine learning. As part of your responsibilities, you will lead research initiatives aimed at enhancing OCR accuracy across diverse document types and l...

As an AI Software Lead with 7-10 years of relevant experience, you will be responsible for designing, developing, and deploying scalable AI solutions with a focus on MLOps best practices. Your expertise will lie in AI model engineering, encompassing training and fine-tuning large language models (LLMs) and other deep learning architectures, as well as model optimization, quantization, and deployment to ensure optimal latency and throughput. Additionally, you will be involved in model evaluation and monitoring in production environments. Your role will also involve building and integrating AI capabilities such as computer vision, NLP, and recommendation systems into production-grade Web/Mobil...

We're hiring an experienced AI/ML Model Engineer to develop computer vision & AI-CAD solutions for enterprise clients. Work with U.S.-based teams to build & deploy scalable ML models. Requires 5+ yrs in ML, Python, TensorFlow/PyTorch & CAD expertise.

As a Machine Learning and AI Developer, you will be responsible for designing, developing, and deploying scalable models utilizing Machine Learning and AI technologies. Your primary tasks will involve data preprocessing, feature engineering, and data cleaning to enhance dataset optimization. Utilizing frameworks and libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn, you will build AI solutions and optimize code using Python, Numpy, and Pandas for data analysis and manipulation. Collaborating with cross-functional teams, you will integrate ML models into applications and research and implement cutting-edge Machine Learning algorithms to ensure the performance and scalability of A...

As a Data Science Consultant with expertise in machine learning and Python, you will be responsible for the end-to-end architecture of Data Science and machine learning projects. Your role will involve productionizing machine learning models and guiding the development team in implementing machine learning use cases. You will provide technology consulting to define the right Data Science and ML use cases. Your responsibilities will include data collection, profiling, exploratory data analysis, and data preparation. You will be involved in AI model development, tuning, and validation. Utilizing visualization tools such as PowerBI and Tableau, you will present findings to business users and pr...

As a Generative AI Solution Architect at NVIDIA, you will leverage your expertise in training Large Language Models (LLMs) and implementing workflows based on Pretraining, Finetuning LLMs & Retrieval-Augmented Generation (RAG). Your role will involve architecting cutting-edge solutions that harness the power of NVIDIA's generative AI technologies. You must possess a deep understanding of language models, especially open source LLMs, and excel in designing and implementing RAG-based workflows. Your responsibilities will include collaborating with customers to identify language-related business challenges and tailor solutions, supporting pre-sales activities by delivering technical presentatio...

Overview The primary objective of this role is to establish and lead a centralized operations function for PepsiCo's Gen-AI platforms, including PepGenX and Agent Factory. The role ensures platform reliability, incident management, vendor performance, and operational excellence across all sectors. It is critical to sustaining enterprise-scale AI adoption by overseeing 24x7 monitoring, ServiceNow-based workflow automation, and cloud FinOps, while coordinating with engineering, product, and vendor teams to maintain high availability, security, and performance at scale Responsibilities 24x7 uptime and incident management via a dedicated Gen-AI Command Centre, Scalable platform monitoring and al...

Accel Portfolio company Position: Senior AI Engineer Location: Bangalore (Preferred) Or Remote Role Overview: We&aposre looking for an exceptional AI/ML Technical Lead to spearhead the development of our advanced AI shopping assistant. You&aposll be responsible for building and scaling our AI capabilities while working directly with the founding team. Key Responsibilities: Architect and develop our core AI shopping assistant Lead the implementation of natural language processing for shopping interactions Design and implement recommendation systems for products and deals Develop AI models for price optimization and reward maximization Work with Data providers and embed data to RAG vector stor...

At Elanco (NYSE: ELAN) - it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. We're driven by our vision of Food and Companionship Enriching Life and our approach to sustainability - the Elanco Healthy Purpose - to advance the health of animals, people, the planet and our enterprise. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work ...

As an MLOps Engineer at Neolytix, you will play a crucial role in building, deploying, and maintaining AI/ML systems for our healthcare Revenue Cycle Management (RCM) platform. Your primary focus will be on operationalizing machine learning models that analyze claims, prioritize denials, and optimize revenue recovery through automated resolution pathways. You will be working with a key tech stack that includes fine-tuned healthcare LLMs such as GPT-4 and Claude for complex claim analysis, domain-specific SLMs for denial code classification, and prediction, as well as NER models for extracting critical claim information. Your expertise in Python with OOP principles, developing APIs using fram...

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. 2. 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. 3. Customer Focus & Stakeholder Management Act as the primary point of contac...

You will be responsible for assisting in the development and implementation of machine learning models and algorithms. Your main tasks will include writing clean, efficient, and reusable Python code for data processing, modeling, and deployment. Additionally, you will work on datasets by performing data cleaning, preprocessing, feature engineering, and visualization. Collaboration with senior data scientists and developers is a key aspect of this role to build scalable ML solutions. You will also be expected to conduct literature reviews to stay updated on the latest ML/AI research. Basic knowledge of model deployment and integration with APIs or web applications is desired for this position...