783 Ml Algorithms Jobs - Page 11

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...

About the Role: We are looking for a forward-thinking Data Scientist to join our R&D team in the publishing domain. The ideal candidate is passionate about AI, stays updated with the latest trends, and is skilled in building and deploying ML models that solve real-world problems. Key Responsibilities: Research and apply Gen AI/ML techniques to publishing use cases. Design, build, and deploy scalable machine learning models. Explore emerging technologies and trends to drive innovation. Collaborate with cross-functional teams to integrate models into products. Collaborate with cross-functional teams to design intelligent features and integrate models into products. Ensure model performance, sc...

Job Description: Designation: Sr. MLOps Engineer Location: Hyderabad Advanced Analytics Center Role Value Proposition Bridging the gap between machine learning and operational excellence within a Advanced Analytics team. By automating the deployment, monitoring, and maintenance of machine learning models, this role ensures that data-driven insights are seamlessly integrated into business processes. Collaboration with data scientists and engineers, the ML Ops Engineer enhances model performance, scalability, and reliability. Drive efficiency and innovation, fosters a culture of continuous improvement, enabling the organization to leverage machine learning for data decision-making. Job Respons...

About the Role: We are seeking a highly skilled ML Pipeline Engineer to design, build, and optimize robust and scalable machine learning pipelines. Youll work at the intersection of data engineering, DevOps, and machine learning, enabling our data science teams to deploy models into production efficiently and reliably. Key Responsibilities: Pipeline Development & Deployment Design and implement end-to-end ML pipelines for training, validation, deployment, and monitoring. Automate data ingestion, preprocessing, feature engineering, model training, evaluation, and serving. Enable reproducible and modular workflows using tools like MLflow, Kubeflow, or TFX. Model Serving & Infrastructure Develo...

Position - Senior - MLE - Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx About this Role: We are seeking passionate Senior Machine Learning Engineers to design, develop, and deploy ML models and pipelines that drive business outcomes. Youll work closely with data scientists, software engineers, and product teams to build intelligent systems that are robust, scalable, and aligned with UPSs strategic goals. You will contribute across the full ML lifecyclefrom data exploration and feature engineering to model training, evaluation, deployment, and monitoring. Youll also help shape our MLOps practices and mentor junior engineers. Key Responsibilities: Desig...

Position - Lead - Machine Learning Engineer - Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx About this Role: We are seeking a visionary Lead Machine Learning Engineer to architect, guide, and deliver enterprise-grade ML solutions that drive strategic business outcomes. You will lead cross-functional teams, define technical direction, and ensure the robustness, scalability, and reliability of ML systems across the full lifecycle. As a Lead MLE, you will play a pivotal role in shaping our ML platform strategy, mentoring senior engineers, and driving adoption of best practices in MLOps, model governance, and responsible AI. Youll collaborate with stakeho...

Position - Intermediate - MLE - Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx About this Role: We are seeking passionate Senior Machine Learning Engineers to design, develop, and deploy ML models and pipelines that drive business outcomes. Youll work closely with data scientists, software engineers, and product teams to build intelligent systems that are robust, scalable, and aligned with UPSs strategic goals. You will contribute across the full ML lifecyclefrom data exploration and feature engineering to model training, evaluation, deployment, and monitoring. Youll also help shape our MLOps practices and mentor junior engineers. Key Responsibilities:...