298 Ml Engineer Jobs - Page 7

Key Responsibilities : Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Collaborate with busi...

Key Responsibilities: Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries. Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Lead a team of engine...

Key Responsibilities: Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries. Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Collaborate with busi...

Key Responsibilities: Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries. Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Lead a team of engine...

Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries. Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Lead a team of engineers and data scientist...

Key Responsibilities: Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries. Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Lead a team of engine...

Key Responsibilities: Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries. Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Collaborate with busi...

Machine Learning Engineer with deep expertise in designing, deploying, and optimizing scalable AI solutions in cloud environments. Expert in Python and ML frameworks: YOLO, TensorFlow, PyTorch, OpenAI APIs , Azure.

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 2 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...

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 : Large Language Models Good to have skills : Python (Programming Language), Amazon Web Services (AWS) Minimum 3 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...

Role Description Role Description:As a Senior ML Engineer / ML Ops - GCP Specialist at Incedo, you will be responsible for building and deploying machine learning models in production environments. You will work with data scientists, data engineers, and software developers to design and implement machine learning pipelines. You will be skilled in programming languages such as Python or Java and have experience in ML tools such as TensorFlow or PyTorch. You will be responsible for ensuring that models are scalable, efficient, and can be deployed in production environments. Roles & Responsibilities: Designing and developing machine learning (ML) models and algorithms Implementing and maintaini...

Role Description : As a Senior ML Engineer / ML Ops - AWS Sagemaker Specialist at Incedo, you will be responsible for building and deploying machine learning models in production environments. You will work with data scientists, data engineers, and software developers to design and implement machine learning pipelines. You will be skilled in programming languages such as Python or Java and have experience in ML tools such as TensorFlow or PyTorch. You will be responsible for ensuring that models are scalable, efficient, and can be deployed in production environments. Roles & Responsibilities : Designing and developing machine learning (ML) models and algorithms Implementing and maintaining M...

Experience in production grade Machine Learning Model design and implementation including LLMs, Model Evaluation and MLOps. experience in designing and implement machine learning models using Google Vertex AI & Python in the context of Conversational AI. Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient AI solutions. Design, build, and deploy machine learning models on the Google Cloud Platform. Experience in using Google CCAI/CES platform and it's components. Experience in agentic architecture based implementations and advanced Retrieval Augmented Generation. Optimize and fine-tune machine learning models for performan...

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 : Large Language Models Good to have skills : NA Minimum 18 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 clou...

We're Hiring: ML Engineer / MATLAB Engineer (Offshore Role) Locations: Pune | Navi Mumbai | Gurgaon | Panchkula | Mohali | Bangalore Experience: 3+ years Shift Timing: 6:00 PM 3:00 AM (Night Shift) MATLAB Engineer Machine Learning Engineer / AI Engineer Required Skills & Expertise We're looking for passionate engineers with hands-on experience in: Machine Learning (ML) Generative AI (GenAI) MLOps & Model Deployment Deep Learning Modelling & Data Pipelines Computer Vision Strong problem-solving skills and ability to work in fast-paced environments Why Join Us Opportunity to work with a high-end client on cutting-edge AI/ML projects Collaborative global team Strong growth pathway and latest te...

The Team: You will work closely with a world-class AI and ML team comprised of experts in AI and ML modeling, MLOps engineers, data science, and data engineering. Your contributions will be critical in engineering and developing solutions for ML operations, supporting S&Ps AI-driven transformation to drive value both internally and for our customers. This role presents a unique opportunity for ML/MLOps engineers to advance in their career journey. Role/Responsibilities and Impact: ML Engineer to architect, build, and deploy production-grade GenAI services and solutions. Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and...

Role Description :As a Senior ML Engineer / ML Ops - GCP Specialist at Incedo, you will be responsible for building and deploying machine learning models in production environments. You will work with data scientists, data engineers, and software developers to design and implement machine learning pipelines. You will be skilled in programming languages such as Python or Java and have experience in ML tools such as TensorFlow or PyTorch. You will be responsible for ensuring that models are scalable, efficient, and can be deployed in production environments. Roles & Responsibilities : Designing and developing machine learning (ML) models and algorithms Implementing and maintaining ML pipelines...

Essential Responsibilities: Lead the design, development, and deployment of scalable, high-performant, maintainable, and reliable ML and generative AI models for grid innovation applications within Grid Automation. Develop AI/ML applications for customer-driven use cases, including predictive maintenance, anomaly detection, failure analysis, optimized control and forecasting. Monitor, maintain, and optimize deployed AI/ML models to continuously enhance their accuracy and performance. Establish clear validation frameworks to ensure models meet required performance standards and business objectives. Design and conduct experiments to test and validate AI/ML models in the context of energy syste...

Bachelors degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related discipline. Substantial experience designing and managing ML workflows in Databricks, utilizing both provisioned clusters and serverless compute resources on AWS. Demonstrated advanced programming skills in Python and SQL for data engineering and pipeline development. Expertise using MLflow for experiment tracking, model management, and deployment within Databricks. Working knowledge of ML frameworks, libraries, and technologies (e.g. TensorFlow, PyTorch, scikit-learn, XGBoost, MLflow). Hands-on experience provisioning and optimizing compute resources for ML applications. Experience with workfl...

Skills IT management IT Support IT Technical IT Infrastructure IT Infra & Support IT Project Description Solution Design & Architecture Project Implementation and Delivery Stakeholder Management Governance and Compliance Collaborating with internal teams, including development, technical and support teams to ensure seamless integration of solutions with client systems. Lead the technical delivery and execution of solutions ensuring alignment with the design. Lead the client management through Business Analysts. Key Competencies Strong knowledge of software architecture, design patterns, and integration strategies. Deep understanding of cloud platforms (AWS, Azure, GCP) and infrastructure com...

As a Senior ML Engineer / ML Ops - GCP Specialist at Incedo, you will be responsible for building and deploying machine learning models in production environments. You will work with data scientists, data engineers, and software developers to design and implement machine learning pipelines. You will be skilled in programming languages such as Python or Java and have experience in ML tools such as TensorFlow or PyTorch. You will be responsible for ensuring that models are scalable, efficient, and can be deployed in production environments. Roles & Responsibilities: Designing and developing machine learning (ML) models and algorithms Implementing and maintaining ML pipelines and workflows Coll...

Role Description Role Description:As a Senior ML Engineer / ML Ops - GCP Specialist at Incedo, you will be responsible for building and deploying machine learning models in production environments. You will work with data scientists, data engineers, and software developers to design and implement machine learning pipelines. You will be skilled in programming languages such as Python or Java and have experience in ML tools such as TensorFlow or PyTorch. You will be responsible for ensuring that models are scalable, efficient, and can be deployed in production environments. Roles & Responsibilities: Designing and developing machine learning (ML) models and algorithms Implementing and maintaini...

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 : Large Language Models Good to have skills : NA Minimum 3 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...

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 : Large Language Models 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...

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 : Large Language Models 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...