267 Ai Algorithms Jobs - Page 2

As a Lead GPU Kernel Developer, your role will involve developing novel algorithms with low-level kernels and collaborating closely with algorithmic researchers to outperform existing state-of-the-art kernels. Key Responsibilities: - Implement novel algorithms on GPUs, pushing hardware limitations to the edge. - Proactively develop and implement novel speedup and automation methods. - Build and operate low-level profiling setups. - Stay up to date with hardware trends and new capabilities. - Communicate and collaborate effectively with team members. Qualifications Required: - Strong background in C/C++ and CUDA. - Extensive experience in code profiling and performance optimization techniques...

In this role at the National University of Singapore, you will be focusing on applying artificial intelligence to solve complex challenges in civil and environmental engineering. Your work will involve contributing to cutting-edge research with global impact in the Department of Civil and Environmental Engineering at NUS, a renowned institution committed to excellence in research and education. **Key Responsibilities:** - Collaborate with a team of experts and international partners under the guidance of Dr. Pin Zhang - Work on one of two projects: - AI for Granular Mechanics: Combine AI and Discrete Element Method (DEM) modelling to advance computational granular mechanics - AI for Tunnels:...

Role: GenAI Intern (AI Agents) Location: Remote (Hyd preferred) | Type: Paid | Experience:(Hands-on exp with AI Agents, LLMs, or RAG What We're Looking For: We need an exceptionally strong coder with real-world experience in LLMs, RAG systems, and multi-agent orchestration. You must be curious, fast-learning, and excited to build with a high-performance startup team. Who We Are: Steps AI builds advanced GenAI products that power agentic data retrieval and automation for enterprises. We work on LLMs, multi-agent systems, RAG, LLMOps, and generative AI orchestration. Key Responsibilities: Develop LLM-based agents for enterprise use cases Build scalable RAG pipelines (Naive, Graph, Struct) Impl...

Principal Machine Learning Engineer Informatica is on a journey to leverage generative AI to simplify cloud data management. Principal Machine Learning Engineer will be responsible for driving the overall architecture and pipelines to enable Machine Learning engineers to build, train and deploy Models at scale across multiple cloud services providers in a cloud agnostic manner. This role is highly visible and critical to leapfrog Informatica's AI journey. Responsibilities: Design and Implement end to end AI based SaaS for enterprises Drive architecture and design for AI and ML related model pipelines, and services Collaborate closely with cross-functional internal teams, including stakeholde...

Role Overview The role leads end-to-end delivery of AI solutions, from rapid prototyping to production deployment and scaling. You will design and build both traditional machine learning and LLM-based solutions tailored to customer needs. A core focus is owning data pipelines for trainingdata collection, cleaning, preprocessing, and enforcing data quality/integrity. Strong Python skills and hands-on experience with deep learning frameworks (PyTorch or TensorFlow) are essential. The position partners closely with stakeholders to translate business problems into robust, reliable AI systems. Required Qualifications 6+ years of professional experience building and delivering AI/ML solutions end-...

Job Description: We are looking for an experienced AI/ML Engineer with a strong background in computer vision and medical image analysis to develop and train a model capable of detecting abnormalities in chest X-ray images. The system will be used as a diagnostic assistance tool for radiologists. Responsibilities: • Design and train deep learning models (CNNs, Transformers, etc.) for image classification and anomaly detection. • Preprocess and augment medical image datasets (DICOM, PNG, or JPEG formats). • Evaluate and fine-tune model performance for clinical accuracy. • Integrate the trained model into a hostable, scalable application (preferred if familiar with web deployment or API integr...

Role: AI Developer Generative AI We are seeking an experienced and motivated Senior AI Developer specializing in Generative AI and Large Language Models (LLMs) to join our team. The ideal candidate will possess a strong educational & professional background in machine learning, natural language processing (NLP), and LLMs. They will be instrumental in developing and deploying AI solutions, fostering innovation, and supporting data-driven decision-making across multiple business units Job Description: AI Development and Deployment: Design, implement, and optimize machine learning models for diverse business applications, focusing on generative AI and LLMs. Research and Innovation: Support rese...

Job Description: Technology Specialist Herbal Chakra Location: Noida Employment Type: Full-time, On-site About Herbal Chakra Herbal Chakra is a fast-growing D2C health and wellness company, home to brands like Purely Yours and Herby Angel. We are on a mission to make authentic, high-quality Ayurveda and wellness products accessible worldwide. Our growth is powered by cutting-edge technology across e-commerce, ERP/CRM, AI, and digital systems. We are looking for a Technology Specialist who can manage, maintain, and scale our technology stack while also driving innovation in AI-powered systems that deliver global Ayurveda solutions. Key Responsibilities Shopify Website Management & Development...

AI Automation Engineer needed (Work From home) to build smart agents & workflows using n8n, Make, Zapier & APIs. Must know OpenAI, LangChain, Python/JS, webhooks & JSON. Automate CRM, lead gen, reports & data ops with scalable, efficient integrations Work from home

Job Summary: We are looking for a passionate and innovative AI Researcher to advance the state-of-the-art in artificial intelligence through cutting-edge research. The ideal candidate will design, develop, and evaluate novel AI algorithms and models, contributing to publications, patents, and AI-driven product innovations. Key Responsibilities: Conduct foundational and applied research in artificial intelligence, machine learning, deep learning, natural language processing, computer vision, or related areas. Develop novel algorithms, models, and architectures to solve complex AI problems. Experiment with large datasets and computational resources to train and optimize AI models. Collaborate ...

We are looking for a skilled AI Engineer / Data Scientist with hands-on experience in OCR pipelines and Large Language Model (LLM) fine-tuning . The ideal candidate will work on developing, fine-tuning, and optimizing Vision-Language Models (VLMs) to extract structured information from scanned or image-based documents. You will collaborate closely with data scientists and backend engineers to build scalable, accurate, and production-ready AI pipelines . Key Responsibilities Fine-tune and adapt multimodal LLMs (e.g., Qwen-VL, LLaVA, or similar) for domain-specific document understanding. Design prompt templates and instruction sets to improve structured JSON output. Perform incremental and cr...

We are looking for a skilled AI Engineer / Data Scientist with hands-on experience in OCR pipelines and Large Language Model (LLM) fine-tuning . The ideal candidate will work on developing, fine-tuning, and optimizing Vision-Language Models (VLMs) to extract structured information from scanned or image-based documents. You will collaborate closely with data scientists and backend engineers to build scalable, accurate, and production-ready AI pipelines . Key Responsibilities Fine-tune and adapt multimodal LLMs (e.g., Qwen-VL, LLaVA, or similar) for domain-specific document understanding. Design prompt templates and instruction sets to improve structured JSON output. Perform incremental and cr...

Role & responsibilities Develop predictive models for demand forecasting, trade promotion optimization, and product assortment, Price, Churn and other ML based use case Partner with business teams to translate problems into analytical solutions Deploy production-ready models and deliver actionable insights to stakeholders Required Qualifications Experience & Domain 4+ years hands-on experience in data science and statistical modeling Strong background in CPG/FMCG/Retail industry Proven experience in Revenue Growth Management use cases (forecasting, trade promotion, assortment, churn, fraud detection) Technical Skills Expert-level proficiency in statistics and statistical modeling Strong comm...

About the Role We are seeking a passionate AI Engineer Intern who loves building autonomous agent workflows and automations using tools like N8N, Make.com, and Zapier. If you enjoy connecting APIs, working with Large Language Models (LLMs), and creating practical AI agents that solve real-world business problems, this role is for you. Key Responsibilities Design and build agentic automation workflows using tools such as N8N, Make.com, and Zapier. Integrate LLMs (OpenAI, Anthropic, etc.) into business automation pipelines. Develop, test, and optimize AI agents for research, outreach, and process automation. Work closely with the product and engineering teams to implement and document workflow...

Job Title: Software Engineer (AI/ML Track) Experience Level: 3+ years Location: [Pune/Bangalore] Type: Full-Time Job Summary We are looking for a talented Software Engineer with strong programming, data handling, and cloud skills who is eager to grow into an AI/ML Engineer role. The ideal candidate will have a solid foundation in Python, SQL, and cloud-native development, combined with excellent problem-solving and analytical skills. You will be part of a dynamic AI/ML team, working on real-world projects involving data engineering, application development, and AI integration. This role offers the opportunity to transition into AI/ML engineering with structured training and exposure to cutti...

Role & responsibilities: I mplement and integrate AI tools into business workflows and Automate tasks using no-code platforms and AI APIs. Integrate LLMs, vision models, and other pre-trained AI services (OpenAI, Hugging Face, Google Vertex AI) into internal systems. Deployment, Customization & Fine-tune foundation models using supervised learning, prompt engineering, and custom datasets. Build systems to extract structured data from PDFs and scanned documents using OCR, NLP, and document-understanding models. Design and optimize AI prompts for content generation, customer support, and business analytics. Knowledge in Agent2Agent, MCP Servers, Context Handling Cross-Functional Collaboration....

About The Job We are looking for a passionate and driven AI Intern to join our dynamic team. As an intern, you will have the opportunity to work on real-world projects, develop AI models, and collaborate with experienced professionals in the field. This internship is designed to provide hands-on experience in AI and machine learning, offering you the chance to contribute to impactful projects while enhancing your skills. Job Description As an AI Intern, you will work alongside experienced data scientists and AI engineers to explore, develop, and optimize machine learning and AI algorithms. This is an exciting opportunity to gain hands-on experience with advanced AI systems, contribute to imp...

Location: Remote (with hybrid touch points if needed) Duration: 6 months (full-time commitment) Stipend: 55,000 per month About the Program Are you passionate about Artificial Intelligence and eager to move from experiments to real-world impact?GroundTruth India is launching a 6-month AI Fellowship/Internship designed for professionals who want to build deployable AI solutions in a business context. This is your chance to work with senior mentors, learn industry best practices, and contribute to projects that drive real value at scale. What You'll Do Convert prototypes into production-ready AI solutions that solve real business problems. Design, test, and deploy AI models and workflows with ...

Design, train, and optimize AI models for insurance use cases. Analyze data for insights, enhance predictive accuracy, and integrate AI into platforms. Drive innovation, ensure scalability, and maintain reliable, high-performing AI systems. Required Candidate profile Hands-on GenAI & LLM expertise, Python & ML frameworks (TensorFlow/PyTorch), strong data science & analytics skills, MLOps experience, cloud (AWS/GCP/Azure) proficiency, and agile adaptability.

Technical Skills & Experience Languages: Python Frameworks: PyTorch, TensorFlow, Keras, Flask, FastAPI Libraries & Tools: NumPy, Pandas, Matplotlib, OpenCV, Pillow, MediaPipe, OpenPose, HuggingFace Computer Vision & Deep Learning: GAN Architectures: Vanilla GAN, StyleGAN, CycleGAN, and other advanced GANs Image Segmentation & Detection: U-Net, CNN-based detectors, semantic & instance segmentation Generative Models: VAE, GANs, Image-to-Image Translation Pose Estimation: OpenPose, MediaPipe Image Generation & Transformation: Conditional GANs, Style Transfer, Domain Adaptation Model Serving & API Development: Flask, FastAPI (building RESTful APIs for deep learning models) Data Handling & Visual...

As a Data Science + Generative AI professional joining our AI & Analytics team, you will be responsible for utilizing your expertise in AI architectures, frameworks, and cloud technologies to develop innovative solutions in the generative AI and data science domains. Key Responsibilities: - Design and deploy Gen AI solutions using modern tools and cloud platforms - Implement RAG pipelines and enhance knowledge-based LLMs - Work collaboratively with cross-functional teams on AI project design and implementation - Optimize model performance, token usage, and latency for production systems - Assist in evaluating and incorporating Responsible AI practices Qualification Required: - Hands-on exper...

Role Purpose The person will be primarily responsible for automating business problems and key business processes through AI/ML/NLP and GenAI Capabilities. Should have experience in machine learning and GenAI based solutions or products at production Minimum 6+ years of experience with designing and implementing AI/ML model, out of which minimum 3+ years on implementing GenAI based solutions Must have delivered at least one GenAI based Solutions into production or POC level. Must have Good programming skills with Python. Experience in LLMs/Open Source LLMs (like ChatGPT, LLama, Gemini, Mixtral etc.) and Langchain/Lamaindex frameworks.Knowledge of ML frameworks (TensorFlow, PyTorch, OpenCV) a...

4+ years of experience in AI/ML model development, deployment, and optimization. Strong expertise in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with FastAPI for developing high-performance AI model APIs. Deep understanding of data structures, algorithms, and distributed computing. Strong knowledge of SQL, NoSQL databases, and cloud-based data processing (AWS, Azure, GCP). Hands-on experience with big data technologies (Spark, Databricks, Hadoop). Proficiency in CI/CD pipelines, containerization (Docker, Kubernetes), and model deployment workflows.

Role Overview: You will be responsible for developing, testing, and deploying machine learning models and AI algorithms that can be integrated into the product suite. Your expertise will be crucial in integrating large language models (LLMs) with external knowledge bases, fine-tuning model architectures for specific tasks, and optimizing retrieval strategies to enhance the accuracy and relevance of generated content. Key Responsibilities: - Implement and optimize AI/ML algorithms for product integration. - Collaborate with data scientists to deploy models and integrate them with software products. - Design scalable solutions for AI/ML applications. - Develop automated pipelines for continuou...

As a Data Integration Architect, your role involves the development and optimization of data solutions using Snowflake and DBT. You will be responsible for ensuring efficient data integration, transformation, and real-time analytics. Collaboration with cross-functional teams to translate business requirements into technical solutions, maintaining data integrity and compliance, and driving innovation in data engineering practices are key aspects of your responsibilities. Key Responsibilities: - Design, build, and maintain robust Snowflake architectures and data pipelines using DBT for efficient data integration and transformation. - Assess legacy data warehouses and identify areas for perform...