48165 Machine Learning Jobs - Page 14

Design & evaluate ML tasks, build datasets, run experiments & benchmark LLMs Strong Python skills, competition-grade expertise (Kaggle) & robust pipelines Experience with modern ML/NLP tools At dext ai, we refer candidates to AI-training companies Required Candidate profile At least 3 yrs experience of full-time ML development Prior experience in AI research or ML platforms Preferred: Background in GenAI models, LLMs or multimodal learning Contributions to Open-source Perks and benefits Work from home at $21 per hour

Expert Python development (PyTorch, Transformers, production ML frameworks) Strong with NVIDIA/CUDA, GPU optimization AI/ML products LLMs (Llama, Mistral, Phi-3, .) AI/ML product architecture, MLOps, LLM (Healthcare/HIPAA preferred) DevOps Required Candidate profile Define and drive the Technical product vision for enterprise AI/ML platforms in healthcare, translating business requirements into scalable architectures while ensuring delivery excellence

Role & responsibilities Seeking an AI Engineer to join our team and contribute to various data science initiatives, from traditional analytics to cutting-edge AI applications. This role offers an excellent opportunity to work across different domains while developing expertise in ML and AI." Core responsibilities: Develop and maintain data processing pipelines using Python • Build and deploy GenAI applications using APIs and popular frameworks like semantic kernel, Langchain. Perform data analysis and create insightful visualizations • Collaborate with cross-functional teams to understand business requirements and implement AI solutions • Assist in the development and maintenance of language...

We are looking for a highly skilled AI/ML Researcher with 1 to 6 years of experience in the field. The ideal candidate will have a strong background in software services and excellent research skills. Roles and Responsibility Conduct thorough research on various AI/ML projects and develop innovative solutions. Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Design and implement machine learning models and algorithms to solve complex problems. Analyze large datasets to extract insights and trends, and present findings to stakeholders. Stay updated with industry trends and advancements in AI/ML, and apply this knowledge to improve existi...

Responsibilities Design, develop, and deploy AI and Generative AI, Machine Learning based solutions. Additional Details Job Function: Technology Role: Analyst Desired Skills: AI & Gen AI - Products & Tools, Artificial Intelligence, Azure, DevOps Qualifications: Bachelor of Engineering

Lead the end-to-end lifecycle of AI/ML projects from problem definition and data exploration to model deployment and monitoring. Architect and design scalable machine learning pipelines and production-ready systems. Evaluate and select appropriate ML frameworks, libraries, and infrastructure (e.g., TensorFlow, PyTorch, AWS Sagemaker, Azure ML, GCP Vertex AI).

5+ years of hands-on experience as a Data Scientist Good experience with Large Language Models (LLMs) Hands-on experience with Machine Learning, NLP, Deep Learning, and Generative AI concepts Strong knowledge of Python programming and ML Ops Good understanding of Azure AI Foundry services Knowledge of Generative AI concepts, theories, and models Qualifications Bachelor of Technology

Experience in AI/ML deployment Experience in Generative AI based apps deployment Excellent knowledge in CI/CD Good idea about AI/ML based development Good exposure on cloud infrastructure Desired Skills Machine Learning, Python Qualifications Bachelor of Engineering

We are seeking an inventive Data Architect for AI with 1015 years of experience to lead the strategic design and implementation of enterprise-scale AI solutions. This role requires deep expertise in designing, developing, and deploying scalable and secure data architectures on cloud platforms to support AI & ML initiatives. The candidate will bridge the gap between business needs and technical implementation by creating the necessary infrastructure for data processing, model training, and inference. This role requires expertise in cloud services and distributed computing to handle large datasets and complex workloads for AI/ML frameworks, as well as MLOps to build robust systems. Desired Ski...

About the Role TCS offers a space to explore varied technologies and quench your techie soul. As a Manager of Platform Site Reliability Engineering (SRE), you will lead the team responsible for supporting hybrid cloud and on-premises infrastructure, driving reliability initiatives, and ensuring high system availability and performance. Key Responsibilities Build and lead a high-performing team of Platform SREs supporting hybrid cloud and on-premises infrastructure. Architect, automate, monitor, and operate scalable platforms using modern DevOps and SRE principles. Drive adoption of CI/CD pipelines, infrastructure-as-code, observability, and incident response frameworks. Partner with engineer...

Hands-on experience with Coveo Cloud Platform (Indexing, Query Pipelines, ML models). Experience with Coveo for AEM, Coveo for Sitecore, or Coveo for Salesforce integrations. Strong understanding of search architecture, indexing, and relevancy tuning. Proficiency in JavaScript, TypeScript, HTML5, CSS3, and modern frameworks like React or Angular. Knowledge of REST APIs, JSON, and GraphQL integrations. Familiarity with Adobe Experience Manager (AEM) or similar CMS platforms. Experience with analytics dashboards, Coveo Usage Analytics, and Coveo Query Pipelines. Exposure to cloud environments (AWS/Azure) and CI/CD pipelines is a plus. Desired Skill s Machine Learning, REST, Abobe CQ5/Adobe Exp...

Builds and fine-tunes cutting-edge deep learning and generative AI models, particularly LLMs, for domain-specific AI applications. Requires expertise in deep learning frameworks and generative techniques to fine-tune and optimize high-performing models. Desired Skills Artificial Intelligence | Machine Learning Qualifications Bachelor of Engineering

Role & responsibilities Data Annotator The Data Annotator is responsible for accurately labeling and categorizing text, image, video, and other data types according to detailed client guidelines. The annotated data will support Machine Learning applications across areas such as autonomous driving, medical diagnostics, and other AI-driven technologies. Key Responsibilities Locate, label, tag, and categorize elements within images, videos, and text datasets based on client-provided instructions. Ensure high-quality annotations by maintaining accuracy, consistency, and attention to detail. Understand and follow guidelines written in English , including domain-specific instructions. Perform repe...

Role & responsibilities - Fine-tune and optimize foundation models for agent tasks - Implement RAG and memory systems - Develop evaluation pipelines for model performance - Prepare datasets for training and inference - Integrate models into agent frameworks - Research continual learning techniques Preferred candidate profile - Fine-tune and optimize LLMs for agent-specific tasks - Implement retrieval-augmented generation and memory systems - Develop pipelines for model evaluation and monitoring - Collaborate on dataset preparation and integration - Research and apply continual learning techniques - Expertise in LLMs (OpenAI, HuggingFace), ML frameworks (PyTorch, TensorFlow) - Familiarity wit...

Strong proficiency in Python and SQL for data manipulation and processing. Experience with data warehouse solutions such as Snowflake , BigQuery , and Databricks . Ability to design and implement efficient data models for data lakes and warehouses. Familiarity with CI/CD pipelines and automation tools to streamline data engineering workflows. Deep understanding of principles in data warehousing and cloud architecture for building efficient and scalable data systems. Experience with Apache Airflow and/or AWS MWAA. Experience with Snowflakes distinctive features, including multi-cluster architecture and shareable data features. Expertise in distributed processing frameworks like Apache Spark o...

. Strong knowledge of AI methodologies, including generative models, machine learning (ML), reinforcement learning, and natural language processing (NLP) . Design, implement, and optimize generative AI architectures and models . Collaborate with data scientists and analysts to collect, preprocess, and manage large datasets, ensuring data quality and integrity for model training . Collaborate with cross-functional teams to integrate AI models into production environments, ensuring seamless deployment and operational efficiency . Fine-tune and optimize AI models for specific applications, focusing on improving accuracy, efficiency, and scalability . Experience of cloud-based platforms (e.g., A...

Role & responsibilities - Implement orchestration logic for multi-agent workflows - Develop APIs for agent communication - Optimize orchestration for performance and fault tolerance - Integrate external tools into agent workflows - Ensure modularity and plug-and-play functionality - Monitor and troubleshoot orchestration pipelines Preferred candidate profile - Build orchestration systems for multi-agent workflows - Develop APIs and messaging protocols for agent communication - Optimize orchestration for scalability and fault tolerance - Integrate external services and tools into workflows - Monitor and troubleshoot orchestration pipelines - Proficiency in Python, LangChain, REST API developm...

Design, develop, and deploy end-to-end data engineering solutions on the Databricks platform. Build scalable, reliable, and optimized data pipelines that support large-scale analytics, machine learning, and real-time data processing. Utilize Databricks to integrate, transform, and analyze big data from various sources. Desired Skills AWS, Big Data, Spark, Apache, Data Modeling Qualifications Bachelor of Engineering

Bachelors or Masters degree in Computer Science, Statistics, Data Science, or a related field. 6+ years of IT experience with a minimum of 3+ years in Data Science (AI/ML). Proven experience as a Data Scientist or similar role with hands-on experience in Python and R. Strong knowledge of machine learning algorithms and statistical modeling techniques. Proficiency in Python libraries such as scikit-learn, pandas, numpy, and matplotlib. Expertise in R programming, particularly with tidyverse, dplyr, tidymodels, and data.table. Experience with relational databases and SQL. Ability to convert R code to Python efficiently. Familiarity with software engineering principles and best practices. Stron...

Faculty/Trainer - DIGITAL MARKETING FACULY Adi Group of Institutions is a leading organization committed to delivering high-quality education and training in cutting-edge technologies. We specialize in providing industry-relevant courses that prepare individuals for the future of work. We are looking for a passionate and experienced Trainer in DIGITAL MARKETING and to join our team. The ideal candidate will have a strong background in Digital MARKETING, machine learning, deep learning, and data science, along with a flair for teaching and mentoring. Key Responsibilities: * Develop and deliver comprehensive training programs in digital marketing * Design course materials, exercises, and asses...

About the role Enable data driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech and business knowledge You will be responsible for Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities: Responsible for completing tasks and transactions within agreed KPI's Knows and applies fundamental work theories/concepts/processes in own areas of work Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will im...

Careers at New Horizon are always inspiring. You will be in the company of aspiring young teams of faculty members and staff. The Management is always supportive in all endeavors. The infrastructure facilities for teaching and research are conducive to excel. New Horizon has well devised HR policies which will ensure recognition and rewards for high performers. New Horizon extends excellent support of research and development initiatives at individual and department levels. At New Horizon, we provide you with every possible opportunity to inspire you to make you go beyond what you think might be possible. Fueled by aspirations, we’re always growing, and finding innovative ways to do it. At N...

Data Scientist (ML Engineering / Generative AI) UAE Location: Dubai / Abu Dhabi / Sharjah - All Over UAE Employment Type: Full-Time | Work from Office - On-site Experience: 4+Years (IT Relevant) Interview Mode: Mandatory Face-to-Face in UAE Relocation: Must be open to relocating to UAE Notice Period: 90 Days We are hiring a Data Scientist with strong Machine Learning Engineering and Generative AI expertise. The role involves building predictive models, deep learning solutions, LLM-based applications, and scalable ML pipelines. You will work on end-to-end model development from data preparation and experimentation to deployment, monitoring, and A/B testing supporting high-impact AI initiative...

Key Skills: Machine Learning, React, Python, Artificial Intelligence, Core Java, AWS, Java, Angular Roles and Responsibilities: Build end-to-end AI-powered products by designing and developing full-stack applications that integrate ML models into user experiences. Develop scalable APIs and services to serve ML models, manage data pipelines, and support real-time inference. Craft intuitive frontends using modern frameworks to visualize and interact with ML outputs. Operationalize ML solutions by implementing the full ML lifecycle, including data engineering, model development, deployment, monitoring, and MLOps on cloud platforms. Prototype rapidly to validate ideas and align with product stra...

4+ years of experience in AI/ML. Proficient in: Python FastAPI Cloud (e.g., GCP) Langchain, LangGraph/CrewAI Docker/Kubernetes Classic ML, Deep Learning, Gen AI technologies, LLMs, NLP, Multi-agent frameworks Evaluation metrics and analysis of LLM ADK, MCP, etc. Hands-on experience in delivering production-grade AI/ML projects. Experience with deploying AI/ML models in production environments using cloud platforms like AWS, Azure, or GCP. Good experience in NLP, LLMs. Solid background in programming languages such as: Python SQL PySpark Hive Shell Scripting Experience with cloud platform AI stacks like AWS Bedrock, Azure AI, GCP Vertex AI is a plus.