46399 Machine Learning Jobs - Page 21

Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Machine Learning. - Design and develop AI-driven agents , Experience with prompt engineering or orchestrating AI agents (e.g., Semantic Kernel, LangChain, or Copilot extensions). - Understanding of data governance, security, and compliance within Azure. - Leverage Azure services such as Azure OpenAI, Azure Cognitive Services, Azure Functions, and Azure Logic Apps. - Experience with Azure OpenAI or other AI/LLM-based frameworks. - Good To Have Skills: Experience with cloud computing platforms. - Strong understanding of application development life cycle. - Familiarity with data analysis and visualization to...

Preferred Qualifications Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years Minimum Qualifications Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years Design, implement, and optimize algorithms for large-scale data processing, prediction, optimization, or control systems.Analyze system requirements and translate them into efficient computational solutions. Develop scalable and maintainable code in languages such a...

Head of Technology and AI Job Summary We are seeking an experienced and visionary Head of Technology with strong understanding of Agentic AI to lead our technology strategy and engineering teams at Lawcubator. Responsible for driving the technical vision of our ComplyMS platform, ensuring it remains secure, scalable, and innovative in the evolving legal tech landscape. Reporting directly to the CEO, you will oversee all aspects of product development, infrastructure, and technology operations, while fostering a culture of excellence in a fast-paced, remote-friendly environment. This is a full-time, executive-level position based in Bangalore. Key Responsibilities Technology Leadership and St...

Title#1: AI/ML - GenAI Work Mode: Hybrid Location: Chennai Requirements: Strong foundation in data science concepts and methods. Proficiency in Python for data analysis and developing AI systems. Experience with SQL for querying and managing relational databases. Understanding of Generative AI concepts and practical prompt engineering techniques (creating and optimizing AI prompts for model performance). Familiarity with Generative AI concepts and techniques (such as Large Language Models and Prompt Engineering). Key Skills and Qualifications: Exposure to Generative AI and machine learning concepts and their real-world applications. Familiarity with LangChain Help configure and implement gen...

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporat...

Strong Python and ML development background Working knowledge of ML frameworks such as scikit-learn 2+ years experience in building/operating ML Solutions on AWS Sagemaker (Sagemaker SDK for jobs and experiments) Hands-on experience in Docker and Kubernetes Good understanding of AWS services related to Sagemaker (S3, Glue, ECR and ECS etc) Develop Operational Guides, Reference Implementations, Develop new and contribute to existing/new tools Soft skills Collaborate with cross team members and cloud teams to build a cohesive MLOps experience on AWS Focus on Quality and ability to adapt to new technologies quickly Excellent communication skills Nice to have AWS CDK / Cloud formation stack Mand...

Position Summary: We are seeking a highly skilled Senior Computer Vision & AI Engineer to join our dynamic team. The ideal candidate will have expertise in advanced computer vision and AI development, along with a passion for creating innovative and scalable software products and systems. In this role, you will be responsible for designing, developing, and deploying algorithms within software products specifically tailored for the energy sector. A Snapshot of your Day How Youll Make an Impact (responsibilities of role) Design, implement and deploy advanced computer vision and AI solutions within software products and solutions. Expanding both personal and team expertise in 2D and 3D data ana...

Job Description Strong Python and ML development background Working knowledge of ML frameworks such as scikit-learn 2+ years experience in building/operating ML Solutions on AWS Sagemaker (Sagemaker SDK for jobs and experiments) Hands-on experience in Docker and Kubernetes Good understanding of AWS services related to Sagemaker (S3, Glue, ECR and ECS etc) Develop Operational Guides, Reference Implementations, Develop new and contribute to existing/new tools Soft skills Collaborate with cross team members and cloud teams to build a cohesive MLOps experience on AWS Focus on Quality and ability to adapt to new technologies quickly Excellent communication skills Nice to have AWS CDK / Cloud form...

Role Description Profile Brief: We are seeking a motivated individual with a strong squash background and an interest in data, AI, and technology to join our team. The ideal candidate has a deep understanding of the sport from gameplay dynamics to tactical awareness and can translate that knowledge into meaningful data insights. This role bridges the gap between on-court expertise and data-driven innovation. If you have good experience in game of squash and possess basic programming or analytical Skills (e.g., Python, AI/ML or JavaScript tools), this role offers a unique opportunity to merge both interests while working on next-generation squash analytics. Technical Skills Analyze match foot...

ANALYTICS ASSOCIATE (Data Scientist) Position Summary Responsible for designing, developing, and implementing advanced AI/ML models to solve business problems related to Revenue Cycle operations for US based healthcare Systems. Experience 3-5 years of relevant experience building AI/ML models and rich experience in python, R and SAS, NLP experience is preferred Reports To Director- Analytics Qualification Holds degree in Computer Science, Math or other Science, Preferred-Master's Degree Roles & Responsibilities Must Have Gathering and prioritize opportunities to leverage AI and predictive modeling working with Product Management Strong understanding of business problems from domain experts a...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will develop applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI s...

We are seeking a skilled AI Engineer with 47 years of hands-on experience in designing, developing, and deploying AI/ML models The ideal candidate must have strong practical exposure to Large Language Models (LLMs), machine learning frameworks, and end-to-end model development The role involves building scalable AI-driven solutions, optimizing model performance, integrating intelligence into applications, and collaborating with data and engineering teams to drive automation and innovation The candidate should possess strong problem-solving skills, experience working with modern AI/ML pipelines, and a solid foundation in deploying models into production environments This is a full-time, perma...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI s...

Job Description/Preferred Qualifications Responsibilities Design and develop machine learning software solutions for semiconductor device and thin film metrology Work with both internal and external customers to define requirements for these software solutions Build machine learning-based software solutions Optimize algorithms and prototypical solutions for efficient implementation Design, develop, implement, oversee, and adapt API Extend prototypes into fully functional, polished solutions ready for internal and/or external use Implement solutions in Pythonwith TensorFlow Write comprehensive unit tests and provide technical support during alpha and beta testing Document the design and imple...

Job Description/Preferred Qualifications Required skills/Competencies Programming Languages Strong in Python, data structures, and algorithms. Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping. Machine Learning Frameworks Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM). Deep Learning Techniques Proficiency with PyTorch or TensorFlow/Keras Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms. Familiarity with optimization (Adam, SGD), dropout, batch norm. LLMs & RAG Hugging Face Transformers (tokenizers, embeddings, model fine-tuning). Vector databases (Milv...

Essential Responsibilities: As a Software Manager within this group, you will be responsible for building and leading a team of highly skilled software engineers to advance our wafer inspection products, leveraging cutting-edge technologies and the latest advancements in software engineering and AI/ML/DL. You will apply your proven leadership experience to guide your team in conceiving, designing, and deploying robust and scalable software solutions for high-volume production and real-time applications. Key responsibilities include driving the evolution toward next-generation software architecture, potentially incorporating new technology stacks, while supporting and enhancing existing featu...

Data Scientist (ML Engineering / Generative AI) UAE Location: Dubai / Abu Dhabi / Sharjah (UAE) Employment Type: Full-Time | Work from Office Experience: 2+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 initiatives across the organi...

Overview As a Data Engineering Architect, you will be responsible for designing and implementing robust data solutions that leverage both GCP and Hadoop technologies. You will create scalable data pipelines, optimize data storage, ensure data quality and accessibility, facilitate data migration projects, and provide pre-sales support to help articulate our data solutions to potential clients. Your expertise will be crucial in transforming complex data sets into actionable insights that align with our business objectives. Your knowledge of the business domain will be instrumental in understanding business requirements and translating them into effective data strategies. Responsibilities Desig...

Develop and implement state-of-the-art NLP, Computer Vision, Speech techniques. Collaborate with other AI researchers to develop innovative AI solutions and services to be used to improve our platform capabilities. Required Candidate profile Exp in machine learning, with a strong focus on NLP, ML model development & deploying. Experience working with training & fine-tuning LLM is a plus. Experience in audio/speech technologies is a plus

Role Specific : - Designing scalable ML systems - Advanced statistical modeling -Cloud ML platforms (AWS SageMaker, Azure AI Total Experience 5+ years Relevant Experience 5+ years Mandatory skills Python, Pytorch/Tensorflow, ML, REST API

Overview The Data Engineer designs, builds, and maintains robust data pipelines and ETL processes to support analytics, machine learning, and BI initiatives. This role ensures high data quality, integrity, and availability across platforms such as OCI, Snowflake, Azure Data Lake, and Tableau. Responsibilities Data Pipeline Development Develop and optimize ETL pipelines for ingesting, transforming, and curating datasets. Support data migration, remediation, and integration across enterprise systems. Collaboration & Integration Partner with data scientists and architects to deliver feature stores and semantic layers. Validate data products with business stakeholders. Data Quality & Governance ...

As a Data and AI Strategy Consultant, *you are responsible for helping Enterprise to be data driven and working closely with the data architecture leadership and IT leadership in developing and implementing data and AI strategies related to enterprise data management and ML, AI and analytics. *you will guide organizations through the process of optimizing data management, data governance, analytics, and business intelligence, enabling them to unlock actionable insights that drive better business decisions. *you will provide support in developing acclerators, support RFPs, and creating more market opportunities. *you will contribute to the data and AI revenue of the company. *you will represe...

About the Role As an ML Engineer, you should be able to apply Machine Learning to Solve complex business problems and optimize customer experience, and work closely with stakeholders to formulate machine learning problems within the business context. Build end-end ML systems for designing, training, testing, optimization, deploying, and serving machine learning models. Write ML system design docs and production-level codes to train your ML models into working pipelines and serve models for large-scale online traffic. About the team The Data Intelligence Platform team is responsible for designing core foundational data sets critical to understanding customers' needs and helping business teams...

The Segment Information Security Officer (SISO) for AIML division, lays a pivotal role within the Enterprise Security and Resilience Office responsible, for the security governance and assurance of enterprise-scale Artificial Intelligence and Machine Learning (AIML) applications. Reporting directly to the Business Information Security Officer, the SISO position is integral to ensuring robust information security practices, risk governance, and compliance across all aspects of AIML engineering initiatives. The SISO will drive proactive security engagement, foster a culture of security awareness, and enable secure innovation in a rapidly evolving technology environment. The successful candidat...