689 Ml Algorithms Jobs - Page 7

Job Description: We are looking for highly motivated interns and early graduates passionate about AI, Machine Learning, and Large Language Models (LLMs) to join our Data Science team. You will work on real-world problems involving GenAI, NLP, model fine-tuning, and data-driven insights , collaborating with experienced ML engineers and data scientists. Responsibilities: Assist in building and fine-tuning LLMs, NLP, and GenAI-based models . Work on data preprocessing, feature engineering, and model evaluation . Collaborate with cross-functional teams to integrate models into applications. Analyze datasets using Python, Pandas, NumPy, and visualization tools . Research and experiment with promp...

Meet the Team The Lifecycle Innovation and Optimization (LIO) team is a dynamic group of people working on big transformational, highly visible initiatives and acquired company integrations. The Cisco.com Engineering team within the LIO organization is leading the charge on crafting a first-in-class digital experience for our customers and partners as they interact with our flagship corporate Cisco.com website, which is the largest and most visited digital platform supporting all stages of the lifecycle. We are at the epicenter of developing modern, cloud-native technologies, integrating various artificial intelligence tools and LLM models that allow us to stay agile and adaptable in a const...

Educational Requirements Bachelor of Engineering Service Line Quality Responsibilities Data Science Consultant with machine learning and Python experience. Knowledge on end-to-end architecture of Data Science and machine learning project. Experience in productionizing machine learning models and guide development team for implementing machine learning use cases. The candidate should provide technology consulting for defining right Data Science and ML use cases. Technical and Professional Requirements: Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management...

We are seeking a passionate and experienced Machine Learning & Artificial Intelligence Trainer to teach, mentor, and guide students on ML/AI concepts, tools, workflows, and real-world application building. The ideal candidate must have strong technical expertise and excellent classroom delivery skills. Roles & Responsibilities Deliver high-quality training sessions on Machine Learning, Artificial Intelligence, Deep Learning, Neural Networks, Python, and related tools . Design curriculum, lesson plans, learning materials, PPTs, assignments, quizzes, and hands-on projects. Explain mathematical and statistical foundations behind ML/AI algorithms in simple language. Provide real-time industry us...

We are seeking a passionate and experienced Machine Learning & Artificial Intelligence Trainer to teach, mentor, and guide students on ML/AI concepts, tools, workflows, and real-world application building. The ideal candidate must have strong technical expertise and excellent classroom delivery skills. Roles & Responsibilities Deliver high-quality training sessions on Machine Learning, Artificial Intelligence, Deep Learning, Neural Networks, Python, and related tools . Design curriculum, lesson plans, learning materials, PPTs, assignments, quizzes, and hands-on projects. Explain mathematical and statistical foundations behind ML/AI algorithms in simple language. Provide real-time industry us...

Job Summary: We are seeking a skilled Machine Learning Developer to design, develop, and deploy machine learning models that solve complex business problems and enhance our products and services. You will collaborate closely with data scientists, software engineers, and business stakeholders to build scalable, efficient, and maintainable ML solutions. Key Responsibilities: Design, develop, and implement machine learning models and algorithms to address business needs. Preprocess, clean, and analyze large datasets to extract useful features and insights. Experiment with different ML algorithms and frameworks to optimize model performance. Collaborate with data engineers to integrate ML models...

About us: Newton School is on a mission to redefine tech education in India Backed by global investors (RTP Global, Nexus, Kunal Shah, and more), we are building a Tech Institute to solve the employability gap for millions of graduates In collaboration with Rishihood University (Sonipat), Ajeenkya DY Patil University (Pune), and S-VYASA University (Bangalore), were creating the next generation of industry-ready tech leaders, Key Responsibilities Teach Applied AI/ML: Design and deliver practical, project-based courses in AI/ML (e-g , Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI), Develop Industry-Relevant Curriculum: Help design and update the AI/ML curricul...

What you will do: ACVs Machine Learning (ML) team is looking to grow its MLOps team. Multiple ACV operations and product teams rely on the ML teams solutions. Current deployments drive opportunities in the marketplace, in operations, and sales, to name a few. As ACV has experienced hyper growth over the past few years, the volume, variety, and velocity of these deployments has grown considerably. Thus, the training, deployment, and monitoring needs of the ML team has grown as weve gained traction. MLOps is a critical function to help ourselves continue to deliver value to our partners and our customers. Successful candidates will demonstrate excellent skill and maturity, be self-motivated as...

Key Responsibilities: Data Science Consultant with machine learning and Python experience Knowledge on end to end architecture of Data Science and machine learning project Experience in productionizing machine learning models and guide development team for implementing machine learning use cases The candidate should provide technology consulting for defining right Data Science and ML use cases Technical Requirements: Data collection profiling EDA data preparation AI Model development tuning validation Visualization tools e g PowerBI tableau Present findings to business users project management teams Propose ML based solution approaches and estimates for new use cases Contribute to AI based m...

As a Principal AI Engineer - Cloud & Platform Services at AVEVA, you will be part of the Core AI Services team responsible for designing, developing, and scaling AI-enabling platform services and public APIs. Your role will involve collaborating with cross-functional teams to deliver end-to-end solutions, embed robust security controls, and contribute to design and code reviews. **Key Responsibilities:** - Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. - Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers. - Collaborate with cross-functional teams to deliver end-to-end so...

*AI Solution Architect / Lead AI Engineer (Expert)* Location: Baner Pune Role Overview We are seeking a highly skilled AI Solution Architect / Lead AI Engineer to spearhead the design and implementation of our recruitment process automation system. This senior-level role will own the end-to-end architecture, guide the AI development team, and ensure alignment with business objectives. Key Responsibilities Design and oversee AI-driven recruitment automation solutions from concept to deployment. Architect end-to-end systems integrating NLP, ML models, and predictive analytics into recruitment workflows. Lead and mentor a team of engineers, setting timelines, quality benchmarks, and coding stan...

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-...

We are seeking an experienced AI/ML Solution Architect to design and deliver enterprise-grade Machine Learning and Generative AI solutions. The ideal candidate will define scalable, production-grade architectures across model development, training, deployment, and orchestration integrating LLMs, MLOps, and distributed data systems. You will collaborate closely with Data Science, ML Engineering, and Business teams to drive innovation and technical excellence in the AI roadmap. Key Responsibilities Define and own end-to-end AI/ML architecture, from data pipelines to production deployment. Evaluate and select ML frameworks, tools, and platforms to ensure scalability, cost-efficiency, and mainta...

4+ years of experience with at least 2+ years of relevant DS experience. Proficient in a structured Python (preferred) Follows good software engineering practices and has an interest in building reliable and robust software. Good knowledge of DS concepts and professional experience in developing and enhancing algorithms and models to solve business problem. Conducting quantitative analyses and interpreting results. Working knowledge of Linux or Unix environments ideally in a cloud environment. Working knowledge of Spark/PySpark is desirable. Excellent written and verbal communication skills.

Role Overview: As a DI AI .Net Developer, your main responsibility will be to build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. You will also develop secure, well-documented public APIs and SDKs for consumption by internal and external developers. Collaboration with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs will be a key part of your role. Additionally, embedding robust security controls to protect sensitive data and ensuring secure access to AI services will be crucial. You will contribute to design reviews, code reviews, and architectural discussions to ensu...

As a Machine Learning Engineer at Apple, you will have the opportunity to impact the future of manufacturing through cutting-edge ML techniques. Your role will involve a wide variety of skills, innovation, and working on groundbreaking applications of machine learning in research and implementation. Your work will have a significant impact on billions of users worldwide by influencing globally recognized products" supply chain. - Collaborate with different engineering and operations teams to develop ML solutions for various vision and language-based tasks and projects. - Deliver ML technologies aligned with fast-paced new technology and short product lifecycle, ensuring top-tier product qual...

AI/ML Technical Architect Job Title AI/ML Technical Architect Reporting Structure Portfolio Manager Education Bachelors degree in engineering (Computer Science, AI, IT or equivalent) or Master’s in AI, Machine Learning, or Data Science is preferred. Experience/ Qualifications 10–12 years of hands-on experience in software design and architecture, with at least 5 years in AI/ML solutioning Hands-on Experience on design, development, deployment and monitoring of AI / ML applications, Python applications. Experience in designing scalable AI/ML architectures for enterprise applications. Experience on design and development of machine learning algorithms, deep learning frameworks, and predictive ...

Job Title: AI/ML Engineer Onsite Drive 22nd october Experience Required: 4 to 7 Years Location: Hyderabad Employment Type: Full-Time Job Summary: We are seeking a skilled and innovative AI/ML Engineer with 47 years of experience to join our dynamic data science and engineering team. The ideal candidate will have strong expertise in building and deploying machine learning models and AI solutions in production environments. You will work closely with data scientists, software engineers, and business stakeholders to solve complex problems using cutting-edge AI/ML technologies. Key Responsibilities: Design, develop, train, and deploy machine learning models for real-world business problems. Perf...

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...

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP SuccessFactors Onboarding, Generative AI Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: We are seeking a forward-thinking professional with AI-first mindset to design, develop, and deploy intelligent frameworks leveraging Generative AI (GenAI) and Agentic AI frameworks within SAP platforms. The ideal candidate should have a strong understanding of various Business Functions, a passion for innovation in AI, and rich experience...

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Consulting AI Enabled Automation Developer Senior We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. At EY, youll have the chance to build a career as uni...

AI/ML Engineer About the Role We are looking for a talented AI/ML Engineer to design, develop, and deploy intelligent systems and data-driven solutions. The ideal candidate will have a strong background in machine learning, deep learning, and data science, with hands-on experience in building scalable AI models for real-world applications. Key Responsibilities Design, implement, and optimize machine learning models for classification, prediction, recommendation, or NLP tasks. Develop and deploy AI solutions across various platforms and environments (cloud, on-premises, edge). Preprocess and analyze large datasets for training and evaluation. Collaborate with data engineers, data scientists, ...

A Developer will design, develop, train, and implement machine learning and deep learning models capable of processing large datasets and generating actionable insights. • Technical Expertise : Strong Programming skills in Python or Scala. Deep knowledge of AI technologies like machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn(e.g., APIs, microservices, event-driven IT,MLflow) . Extensive experience writing production-ready code, hands-on experience with different programming paradigms and (MLOps and DevSecOps) . Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git. Hands on Experinece : Hands-on ...

Responsibilities: Collaborate with business stakeholders to understand and refine data-related questions and requirements Utilize advanced analytics to uncover hidden insights in large datasets and provide actionable recommendations. Design and implement data models and algorithms to support data-driven decision making. Investigate internal and external data sources to determine availability, quality, and relevance Identify, collect, and analyze relevant data needed to address specific business challenges Propose solutions to close data gaps. Define data structures, formats, and transformation logic needed to support reporting and analytics. Leverage data science techniques to uncover trends...

Job Requirements Highly focused individual with self-driven attitude Problem solving and logical thinking to automate and improve internal processes Using various tools such as SQL and Python for managing the various requirements for different data asset projects. Ability to diligently involve in activities like Data Cleaning, Retrieval, Manipulation, Analytics and Reporting Using data science and statistical techniques to build machine learning models and deal with textual data. Keep up-to-date knowledge of the industry and related markets Ability to multitask, prioritize, and manage time efficiently Understand needs of the hiring organization or client in order to target solutions to their...