783 Ml Algorithms Jobs - Page 8

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Respons...

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a highly skilled and visionary AI/ML Manager to lead the development of advanced AI-driven applications and solutions using Google Cloud's Conversational AI (CCAI) platform and Gen AI models. In this role, you will architect, design, and deploy scalable AI solution...

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 : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationAs an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and...

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on e...

A Machine Learning Engineer is responsible for designing, building, and maintaining systems that use artificial intelligence (AI) and machine learning (ML) algorithms to solve complex problems. 1. Developing and implementing ML algorithms: The Machine Learning Engineer develops and implements machine learning algorithms to solve specific problems, such as natural language processing, computer vision, or predictive modeling. 2. Building data pipelines: The Machine Learning Engineer is responsible for building data pipelines that collect, store, and preprocess data used in machine learning algorithms. 3. Creating and maintaining ML infrastructure: The Machine Learning Engineer is responsible f...

Senior AI/ML Engineer About The Role ::Sr. AI/ML Engineer (2-10 years of experience) multiple positionsPosition Overview:We are seeking a talented and motivated AI-ML Engineers to join our team. As an AI/MLEngineer, you will be responsible for developing and implementing AI/ML solutions, utilizingyour expertise in AI/ML algorithms, programming languages (primarily Python), time-seriesanalysis, forecasting, and cloud technologies. The ideal candidate will have 2 to 8 years ofexperience working with AI/ML technologies and a strong foundation in softwaredevelopment principles.Responsibilities:- Collaborate with cross-functional teams to identify and understand business requirements,and translat...

Build multi-cloud GenAI platforms (Azure OpenAI + GCP Vertex AI + AWS Bedrock) with unified MLOps Designed solutions with Azure OpenAI, MLOps Pipelines, and Cognitive Search GCP Scaled Vertex AI LLM Evaluation, Gemini Multimodal, and TPU v5 Pods Required Candidate profile Azure:Microsoft Certified:Azure AI Engineer Associate GCP:Google Cloud Profesional Machine Learning Engineer Exp hybrid/multi-cloud GenAI deployment(e.g.,training GCP TPUs,serving via Azure endpoints)

We are looking for both lead AILLM ENg-1, Mid lever AILLM Eng-2 Preferred candid Job Title: Lead AI / LLM Engineer Location: Hybrid / Remote Department: AI & Data Science Company: Avira Digital About the Role We are looking for an experienced Lead AI / LLM Engineer to drive the design, development, and deployment of advanced AI and GenAI solutions. This role will focus on LLM fine-tuning, prompt optimization, model evaluation, and production deployment for real-world enterprise use cases. You will lead a small team of ML and AI engineers, collaborating closely with product and architecture teams to deliver scalable and intelligent AI solutions. Key Responsibilities Lead end-to-end developmen...

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Role description: Experience with various LLM architecture design using RAG, MCP and hybrid models Good understanding of choosing the right ML algorithms based on business problems. Experience in pro...

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...

About The Role - Grade Specific Data Scientist / Machine Learning Engineer LocationPan India Experience6"“12 years Why Join Capgemini? Be part of a global team where innovation meets impact. At Capgemini, we empower professionals to shape their careers while solving real-world challenges through data-driven technologies. Help build scalable, intelligent solutions that transform industries. Your Role As a Data Scientist / ML Engineer, youll design and deploy advanced models, analyze large datasets, and deliver actionable insights. Youll collaborate across teams to build robust data pipelines and scalable cloud solutions. Responsibilities Develop ML models using Python, scikit-learn, TensorFlo...

We're Hiring: Senior Data Scientist / AI Engineer at Coforge Ltd Job Location: Bangalore (Work from Office 5 Days Mandatory) Experience: 8+ Years Availability: Immediate Joiners Preferred Interested candidates can send their updated CV to Gaurav.2.Kumar@coforge.com For any queries, feel free to reach out on WhatsApp at 9667427662 We’re looking for a Senior Data Scientist / AI Engineer to join our dynamic team and lead the development of innovative GenAI and NLP-based systems. As part of this role, you’ll work on advanced ML models, LLM pipelines, and collaborate across teams to solve real-world problems. You’ll also mentor junior team members and potentially lead key topics in AI. Key Respon...

We're Hiring: Senior Data Scientist / AI Engineer at Coforge Ltd Job Location: Bangalore (Work from Office 5 Days Mandatory) Experience: 6 to 8 Years Availability: Immediate Joiners Preferred Interested candidates can send their updated CV to Gaurav.2.Kumar@coforge.com For any queries, feel free to reach out on WhatsApp at 9667427662 Were looking for a Senior Data Scientist / AI Engineer to join our dynamic team and lead the development of innovative GenAI and NLP-based systems. As part of this role, you’ll work on advanced ML models, LLM pipelines, and collaborate across teams to solve real-world problems. You’ll also mentor junior team members and potentially lead key topics in AI. Key Res...

Hello All, My name is Deepak RE working with Cogent Infotech. Please read the below job description in detail & then Apply, if you have any questions feel free to text through google chat or mobile text. Connect with me through LinkedIn if you're active for future opportunities. This opportunity is Night Shift (PST) so please apply only if you have worked prior in Night shift. No Rotational Only PST Working hours. Machine Learning Engineer (Lead & Senior) (Remote) 5 Positions Core Experience 5-10+ years of professional experience as a Machine Learning Engineer Experience designing, developing, deploying, and supporting machine learning models and platforms for medium to large sized projects ...

Solid understanding of Python, Machine learning principles, algorithms, and methodologies. Proficiency in programming languages such as Python, and experience with libraries like NumPy, Pandas, etc.

Job Opening: Data Scientist Generative AI & Machine Learning Location: Hyderabad, Telangana, India Experience: 7 Years - 15 Years Organization: Solenis GSS India Employment Type: Full-Time | Permanent About the Role Solenis GSS India is seeking an experienced Data Scientist to join our global AI & Data Science team. This role is ideal for professionals passionate about Generative AI, Machine Learning, and enterprise data platforms , delivering solutions across supply chain, commercial, and customer experience functions . Key Responsibilities Perform EDA and generate actionable insights from structured & unstructured data. Build, train, and deploy ML/AI models ; apply feature engineering and ...

What you can look forward to as Senior Data Scientist -AI/ML (m/f/d): Conduct cutting-edge research to identify and develop novel AI/ML methodologies, including Deep Learning (DL) and Reinforcement Learning (RL). Design and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different ML algorithms. Analyze data to uncover hidden patterns and relationships that can inform the development of new AI techniques. Stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks. This might involve researching areas like interpretability of machine learning models or efficient training me...

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...

As a Generative AI Engineer at Prismforce, you will play a crucial role in developing cutting-edge NLP and ML projects. Your responsibilities will include: - Fine-tuning Large Language Models (LLMs) using techniques like LoRA and QLoRA - Evaluating and enhancing Retrieval-Augmented Generation (RAG) pipelines for groundedness, accuracy, and relevance - Applying transfer learning and transformer architectures in model development - Validating model accuracy and performance using appropriate metrics - Collaborating with product teams and effectively communicating insights to senior leadership - Contributing innovative ideas in problem-solving sessions - Maintaining an experimental mindset and c...

As an AI & Data Science Intern at Twite AI Technologies, you will have the opportunity to work on cutting-edge AI-powered solutions for top MNCs. Twite AI Technologies specializes in developing next-gen AI bots and automation tools utilizing NLP, ML, and DL technologies. **Key Responsibilities:** - Assist in building AI-powered chatbots and automation tools. - Work on data preprocessing, model training, and performance tuning. - Collaborate with senior AI engineers on scalable ML/NLP solutions. - Conduct research and implement AI algorithms to enhance bot logic. - Test, debug, and deploy AI models for real-world applications. **Qualification Required:** - B.E. / B.Tech / M.E. / M.Tech / M.Sc...

Job description Join krtrimaIQ Cognitive Solutions, a leading AI/ML company enabling intelligent enterprises through advanced technologies like machine learning, NLP, computer vision, and automation. Be part of a dynamic team transforming data into powerful business decisions. Role: AI/ML Engineer Experience: 3+years Location: Bangalore Preferred: Ready to join immediate to within 15 days Responsibilities Design, develop, and deploy AI/ML models using Large Language Models (LLMs) and Multimodal LLMs. Work on building and optimizing Retrieval-Augmented Generation (RAG) pipelines for real-world use cases. Implement and fine-tune transformer models using Hugging Face and PyTorch. Conduct experi...

Role Overview: We are seeking an experienced Azure Machine Learning Specialist to lead the design and deployment of advanced predictive models for a leading UK university. The role focuses on developing high-accuracy student number forecasting systems using Azure ML, Python, and Databricks, integrating multiple data sources into automated, scalable pipelines. Candidate will collaborate with the Data & Analytics and Planning teams to build, train, and validate models in line with the universitys data governance and security standards. Key Responsibilities: 1. Data Analysis and Model Development Conduct detailed audits of CRM, application, and enrolment datasets in Azure to assess data quality...

Role Overview: As a Senior AI & Analytics Program Manager, you will be responsible for managing end-to-end client programs in a dynamic environment. Your role will involve a mix of hands-on technical contributions, team management, and client interactions. Key Responsibilities: - Lead and oversee AI & analytics programs for clients - Manage technical teams and ensure project delivery - Engage with clients to understand their requirements and provide solutions - Utilize scientific programming skills in Python, R, SQL, NoSQL, and Spark with ML tools & Cloud Technology (AWS, Azure, GCP) - Develop machine learning models using Python libraries such as numpy, pandas, sci-kit-learn, tensor-flow, s...

Job Title: Sr. Software AI Engineer AI & ML (Remote) Experience: 4+ years in AI/ML Location: Remote (Work from Anywhere) Employment Type: Full-time Key Responsibilities: Build and optimize LLM-based RAG pipelines using vector databases (e.g., Azure AI Search). Develop conversational AI agents with Lang Chain and Python. Fine-tune/prompt-tune LLMs (Azure OpenAI) for healthcare use cases. Integrate structured/unstructured data from databases like MongoDB & MSSQL. Design scalable APIs with Fast API for real-time production use. Skills Required: Expertise in Python, Fast API, and AI frameworks (Lang Chain, Azure OpenAI). Hands-on experience with RAG systems and vector search. Knowledge of prompt...

The Global Quality Analytics and Innovation team leads the digital transformation and innovation effort throughout Amgens Quality organization. We are at the forefront of developing and rolling out data-centric digital tools, employing automation, artificial intelligence (AI), and generative AI to drive end-to-end quality transformation. We are seeking a highly motivated and experienced Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and...