471 Model Deployment Jobs - Page 6

Role & responsibilities We are hiring Senior Data Scientists for our client Nielsen Media , a global leader in audience measurement and analytics. The ideal candidate must have strong experience in Python , data modeling, and analytics, along with the ability to translate complex datasets into actionable insights. Youll work on high-impact projects involving media analytics, predictive modeling, and data automation , contributing directly to client business outcomes. Key Responsibilities: Develop and deploy data science models for large-scale media and consumer datasets. Perform data cleaning, transformation, and statistical analysis using Python. Build predictive and classification models f...

Design, build, and deploy ML models and pipelines, implement feature engineering, optimize algorithms, integrate with data platforms, and ensure scalable production-grade model deployment and monitoring. Required Candidate profile ML Engineer with 4–7 yrs exp in model design, Python, Spark, and SQL. Hands-on in MLOps, data modeling, bias testing, and deploying ML models in cloud environments like GCP or AWS.

Description The Gen AI Manager will be responsible for designing, implementing, and maintaining large-scale Generative AI solutions, with a focus on Large Language Models (LLMs). This role combines strategic leadership with hands-on technical execution, including architecture design, LLM fine-tuning, deployment, and operational excellence. Requirements Key Requirements: Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. 10+ years of experience in AI/ML, with significant experience in Generative AI and LLMs. Hands-on experience with AI architecture, model deployment, and operationalization (LLM Ops). Expertise in prompt engineering, fine-tuning, and infe...

Job Overview: We are seeking a Data Scientist to build, deploy, and optimize machine learning and AI models for predictive and generative applications The role involves handling data preprocessing, model training, fine-tuning, and collaborating with GenAI developers to integrate models into production systems The ideal candidate will work with cloud ML platforms and leverage modern ML/AI frameworks to deliver scalable, high-performance solutions Key Responsibilities: Build and deploy ML/AI models for predictive and generative tasks Perform data preprocessing, feature engineering, model training, and fine-tuning Collaborate with GenAI developers and engineering teams to integrate models into ...

Role Overview: You are sought after by Xpergia, a client of Uplers, as an AI/ML Engineer with expertise in conventional machine learning and interest in generative AI. Your primary responsibility will be to develop Sports Companion GPT - Aiko for sports applications, focusing on Cricket and Football. You will collaborate with global teams to create an AI model that provides actionable insights and innovative solutions, contributing to the development of a generative AI evaluation framework. Key Responsibilities: - Design and develop AI models combining conventional ML techniques with generative AI models for Cricket and Football applications. - Fine-tune pre-trained generative AI models usin...

Company Description NeosAlpha, founded in the UK in 2017, specializes in IT consulting and digital transformation services for clients in the UK, USA, Australia, and Europe. We provide solutions in areas like intelligent automation, AI-driven integrations, cloud services, and data engineering. Our consultative approach ensures tailored, cost-effective solutions to modernize and transform digital ecosystems. Recognized with Boomi Partner Awards for three consecutive years, NeosAlpha excels in delivering seamless cloud integration and innovative strategies. Job description We are looking for a highly skilled Data Scientist to join our software services team. The ideal candidate will have a str...

An experienced Python & PySpark Developer to design, develop, and optimize large-scale data pipelines and ML-driven app This role blends data engineering, machine learning, and cloud development on modern platforms like Azure and Hyperledger Fabric.

An IT outsourcing company in India providing custom software, web & mobile

At Oracle Cloud Infrastructure (OCI), we're reimagining how enterprise cloud operations work-and 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 resolution-pushing 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. Key Responsibilit...

Key Responsibilities Technical Leadership: Lead the end-to-end design and implementation of Generative AI solutions. Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects. Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs). Solution Development: Architect, train, and fine-tune state-of-the-art LLMs and generative AI models Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning. Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform ...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years 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 in a related ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). 3 years of experience in testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: Master's d...

Senior ML Engineer Experience Level: Level 3 (8+ years) Job Description We are hiring Senior Machine Learning Engineers to build, train, and deploy production-grade ML models. The ideal candidates will work closely with data engineers and platform teams to enable scalable and accurate AI solutions. Key Responsibilities Design, build, and train machine learning and deep learning models. Prepare datasets and implement robust data preprocessing pipelines. Deploy ML models to cloud environments. Optimize models using techniques like hyperparameter tuning. Required Skills ML Algorithms, Deep Learning Python, Cloud ML Platforms (Azure/GCP/AWS) Model Deployment, Data Preprocessing, Hyperparameter T...

Role Overview: You will be playing a crucial role as a Data and AI Lead Architect in designing and implementing scalable, secure, and intelligent data and AI solutions across the enterprise. Your focus will be on shaping the data and AI strategy with an emphasis on cloud-native architectures, advanced analytics, and emerging AI technologies. Your deep technical expertise, strategic thinking, and passion for innovation will be instrumental in driving impactful business outcomes. Key Responsibilities: - Architect and lead the development of enterprise-scale data and AI platforms, ensuring alignment with business goals and technology strategy. - Design and implement robust data architectures, A...

You will be responsible for teaching Python programming, AI, and Machine Learning concepts to students. This includes designing and delivering engaging lectures, labs, and projects based on real-world applications. You will also prepare and update lesson plans, assignments, and assessments, while explaining data preprocessing, model training, testing, and deployment in simple language. Moreover, you will help students build AI/ML mini projects using Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, or PyTorch. Monitoring student progress, providing constructive feedback, staying updated with the latest AI/ML trends, tools, and technologies, and conducting practical s...

**Role Overview:** As a part of the Citi Analytics & Information Management (AIM) team, you will be leading the Financial Crimes & Fraud Prevention Analytics in the Fraud Operation team based in Pune/Bangalore. Reporting to the Director/Managing Director, AIM, your primary responsibility will be to lead a team of data scientists in developing and implementing Machine Learning (ML) / AI / Gen AI models for fraud prevention. You will collaborate with the model implementation team, ensure model documentation, and contribute to achieving overall business goals by analyzing data and developing effective models. **Key Responsibilities:** - Lead as Subject Matter Expert (SME) in ML/AI/Gen AI, with ...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years 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. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred qualifications: ...

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.