46399 Machine Learning Jobs - Page 22

MLOps Engineer AI/ML Ops | Bangalore We are looking for an AI/ML Ops Engineer with strong experience in DevOps, LLM frameworks, vector databases, and model deployment . The role involves building scalable ML pipelines, deploying models using PyTorch/TensorFlow , creating FastAPI services, and enabling LLM observability via LangFuse and LangChain . Candidates must have hands-on expertise in GitHub Actions, Docker, CI/CD , and production-grade ML systems. Role: ML Ops Engineer Skills: GitHub, DevOps, AI Frameworks, Vector DB, LangFuse, LangChain, PyTorch, TensorFlow, FastAPI Key Responsibilities Build and manage AI/ML infrastructure for model training, deployment, and monitoring. Develop CI/CD...

Join us and contribute to the discovery of medicines that will impact lives! Hyderabad, India | Hybrid | Full-Time About Aganitha High-throughput experimentation, computational & data-driven modeling, and the advent of the Open Science era are fundamentally transforming research, discovery, and development across diverse industries. Aganitha is at the forefront of co-innovation with global clients, shaping next-generation R&D (aganitha.ai). While our primary client base has been in global Biopharma, we are actively expanding our collaborations into consumer brands and, in the near future, the materials design industry. As a Scientist at Aganitha, you will be instrumental in leveraging cuttin...

Senior Data Scientist with 3-5 years of hands-on industry experience in machine learning (ML) and natural language processing (NLP). In this role, you will help design, develop, and maintain document intelligence platforms that power multiple product streams across the organization. As a Senior Data Scientist, you will collaborate closely with data engineers, domain experts, and fellow data scientists to unlock large-scale data capabilities. You will work with both structured and unstructured clinical datasets, applying advanced algorithms and state-of-the-art modeling techniques to build, optimize, and deploy scalable ML/NLP solutions in production environments. Your contributions will dire...

MLOps Engineer AI/ML Ops | Bangalore We are looking for an AI/ML Ops Engineer with strong experience in DevOps, LLM frameworks, vector databases, and model deployment . The role involves building scalable ML pipelines, deploying models using PyTorch/TensorFlow , creating FastAPI services, and enabling LLM observability via LangFuse and LangChain . Candidates must have hands-on expertise in GitHub Actions, Docker, CI/CD , and production-grade ML systems. Role: ML Ops Engineer Skills: GitHub, DevOps, AI Frameworks, Vector DB, LangFuse, LangChain, PyTorch, TensorFlow, FastAPI Key Responsibilities Build and manage AI/ML infrastructure for model training, deployment, and monitoring. Develop CI/CD...

MLOps Engineer AI/ML Ops | Bangalore We are looking for an AI/ML Ops Engineer with strong experience in DevOps, LLM frameworks, vector databases, and model deployment . The role involves building scalable ML pipelines, deploying models using PyTorch/TensorFlow , creating FastAPI services, and enabling LLM observability via LangFuse and LangChain . Candidates must have hands-on expertise in GitHub Actions, Docker, CI/CD , and production-grade ML systems. Role: ML Ops Engineer Skills: GitHub, DevOps, AI Frameworks, Vector DB, LangFuse, LangChain, PyTorch, TensorFlow, FastAPI Key Responsibilities Build and manage AI/ML infrastructure for model training, deployment, and monitoring. Develop CI/CD...

Preferred to have a graduate or pos-graduate degree in Engineering/Science. The selected Software QA Engineer will join a world-class software team to plan, manage, execute, and report results for all qualification activities for the PoR/team. He/She will be trained to be an effective team player and leader that will be responsible for the quality of all released products. He/She will be a strong process advocate with an acute attention to detail and desire to continually improve the Qualification process. He/She must be able to partner with other functional teams to resolve quality issues quickly. Key Responsibilities Include: Play role of full stack test engineer for software of KLA Produc...

Key Responsibilities: Architect, develop, and maintain AR/VR/MR applications using Unity or Unreal Engine. Design and implement immersive learning modules for Android XR platforms (e.g., Meta Quest, HTC VIVE, Samsung Galaxy XR, XREAL, Magic Leap, handheld devices, etc.). Collaborate with cross-functional teams including instructional designers, 3D artists, and subject matter experts. Integrate immersive content with Learning Management Systems (LMS) using xAPI or SCORM. Implement AI-driven features such as intelligent tutoring systems, adaptive learning paths, and natural language interactions. Optimize applications for performance across various platforms and devices. Develop reusable code ...

Applications are invited for the Post of Junior Research Fellowship (JRF) for the DST_SERB (known as ANRF) Funded Project in the School of Electronics Engineering (SENSE), FILENO. CRG/2023/005678, Vellore Institute of Technology (VIT). Title of the Project : EEG-based investigation of the fundamental frequency coding for source segregation in elderly normal-hearing adults. Qualification : First division Master's Degree in Electronics and Communication Engineering or equivalent with specialization in Signal Processing or B. Tech. in ECE/EIE/EEE/ETC from a recognized University or equivalent. Desirable: GATE/NET qualified; however, non-GATE/NET candidates are also encouraged to apply. Describe...

Enterprise Architects are experienced, technology strategic thought leaders, helping to drive Amgens digital innovation ambitions. We align technology strategies to business imperatives, optimize the value of our technology investments and govern IT architecture standards and practices across the data, artificial intelligence, applications, integration and infrastructure layers; creating value for our staff, our business partners, our shareholders and most importantly our patients.As the stewards of the Amgen technology and data strategies, we are accountable to govern, optimize and standardize Amgens Manufacturing, Commercial, Drug Research, Clinical Development and G&A technology ecosystem...

The Principal Data Engineer will be a senior individual contributor responsible for designing, building, and optimizing advanced data solutions that power enterprise-wide analytics, AI/ML, and data-driven decision-making. Reporting directly to the Senior Director of Data Platforms, this role will serve as a technical expert and thought partner in scaling modern data architectures, enabling AI orchestration, and delivering robust, secure, and compliant data products. This position is highly hands-on, requiring expertise in data engineering, Databricks, Python, AI/ML platforms, and orchestration frameworks. The Principal Engineer will work across functional teams to design and implement high-p...

Technical Lead, Generative AI Application Development (9-11 Yrs of experience) Looking for a Technical Lead to guide a team building a new Generative AI application. This role along with being hand-on will provide technical leadership, define the solution architecture, and ensure the quality and scalability of our AI-driven products. You will work closely with product and research teams to deliver innovative and secure solutions. Responsibilities Lead and mentor a cross-functional development team focused on building GenAI applications. Architect and oversee the application, ensuring it adheres to best practices and standards. Collaborate with the product manager to turn business requirement...

Job Description/Preferred Qualifications Role You will be part of a cutting-edge team working on Large Language Models (LLMs), Machine Learning, Deep Learning, and Retrieval-Augmented Generation (RAG) pipelines. Youll help design, build, and evaluate AI systems that solve complex real-world problems at scale. Key Responsibilities Develop and optimize RAG pipelines: document chunking, embedding generation, vector storage, retrieval, reranking, and grounded generation with citations. Work on LLM-based applications: fine-tuning open-source models (LLaMA, Mistral, etc.), building prompt strategies, and deploying inference services. Contribute to machine learning models (classification, regressio...

Project description We are seeking a skilled ML Platform Engineer, responsible for automating, deploying, patching, and maintaining our machine learning platform infrastructure. The ideal candidate will have hands-on experience with Cloudera Data Science Workbench (CDSW), Cloudera Data Platform (CDP), Docker, Kubernetes, Python, Ansible, GitLab, and MLOps best practices. Responsibilities Automate deployment and management processes for machine learning platforms using tools such as Ansible and Python. Deploy, monitor, and patch ML platform components, including Cloudera Data Science Workbench (CDSW), Docker containers, and Kubernetes clusters. Ensure high availability and reliability of ML i...

Project description Lead the design and development of advanced quantitative and AI-driven models for market abuse detection across multiple asset classes and trading venues. Drive the solutioning and delivery of large-scale surveillance systems in a global investment banking environment, leveraging Python, PySpark, big data technologies, and MS Copilot for model development, automation, and code quality. Play a pivotal role in communicating complex technical concepts through compelling storytelling, ensuring alignment, and understanding across business, compliance, and technology teams. Responsibilities Architect and implement scalable AI/ML models (using MS Copilot, Python, PySpark, and ot...

We are seeking a Senior Data Engineer to design and implement the data foundation for a competitive intelligence MVP. The role involves building automated ingestion pipelines, orchestrating PDF extraction workflows, and creating normalized product datasets in Bronze/Silver/Gold layers using Azure Databricks. You will work in an Azure-first environment (ADF, Databricks, Azure Functions, Azure SQL) and collaborate with AI/ML engineers and BI teams to ensure high-quality, production-ready data pipelines within timeline. --- Key Responsibilities Data Pipeline Development Build ingestion pipelines to fetch PDFs from file stores and load into Bronze layer. Implement orchestration using Azure Funct...

Job Description/Preferred Qualifications Technical Skills : Proficiency in conventional image processing techniques , including: Filtering (Gaussian, Median, etc.) Edge detection (Sobel, Canny) Thresholding, morphological operations, and histogram analysis Fourier Transforms Familiarity with classical computer vision methods , such as: Feature extraction (SIFT, SURF, ORB) Object detection using Haar cascades or contour analysis Image registration, geometric transformations, and camera calibration Hands-on experience with tools like OpenCV , scikit-image Expertise in C/C++, Linux Development. Good debugging skills in using gdb and Linux system utilities to troubleshoot timing sensitive distri...

Job Description/Preferred Qualifications You will be part of a Artificial Intelligence and High Performance Computing group that develops algorithms and software solutions that enhance the performance of our inspection tools. Your responsibilities will include: Technical Skills : Proficiency in conventional image processing techniques , including: Filtering (Gaussian, Median, etc.) Edge detection (Sobel, Canny) Thresholding, morphological operations, and histogram analysis Fourier Transforms Familiarity with classical computer vision methods , such as: Feature extraction (SIFT, SURF, ORB) Object detection using Haar cascades or contour analysis Image registration, geometric transformations, ...

Product Specialist AI-Driven Test Automation Platform Location: Hyderabad, India (work from office) About ACCELQ Join the team at ACCELQ , the leader in AI-driven test automation, as recognized by Forrester. We empower thousands of large enterprises worldwide with our cutting-edge, no-code platform that revolutionizes the way testing is done. Be a part of our dynamic product team in Hyderabad and contribute to the future of test automation. Why This Role Is Exciting Innovate with AI: Work on a leading AI-driven test automation platform that's shaping the industry. Blend of Tech and Business: Gain exposure to both the technical and business sides, solving real-world problems for global enterp...

Role & responsibilities : Role: About the role We are looking for skilled Python Full-Stack Developers with strong backend expertise and the ability to work across modern web technologies. Exposure to AI/ML workflows, LLMs, or model integration will be considered a significant advantage. The ideal candidate should be capable of independently driving project tasks, maintaining high-quality standards, and collaborating efficiently within a fast-paced engineering environment. Key Responsibilities: Develop, enhance, and maintain scalable full-stack applications using Python and modern frontend frameworks. Independently execute assigned tasks, technical modules, and integrations. Review, debug, t...

Key Skills: Machine Learning, Image Processing, Computer Vision Roles and Responsibilities: Develop machine learning algorithms for advanced imaging features (low-light, next-gen sensors, vision & scene understanding). Build learnable image signal processing (ISP) pipelines for image reconstruction and classification tasks. Design agentic workflows and fully automated recommendation systems. Implement federated learning and on-device incremental model refinements. Work on model quantization, low-rank adaptation, and training strategies to optimize ML inference speed. Support deployment, commercialization, and system-algorithm co-design for improved ML performance. Lead research teams, drivin...

We are looking for a highly skilled Python Developer with strong experience in AI/ML model development and hands-on expertise in TensorFlow, NumPy, SciPy, AWS, and Docker . The ideal candidate should be able to build, deploy, and maintain scalable machine learning solutions in production environments. Key Responsibilities Develop, train, and optimize AI/ML models using TensorFlow and associated libraries. Write clean, efficient, and well-structured Python code using NumPy, SciPy , and other scientific computing tools. Build end-to-end ML pipelines including data preprocessing, feature engineering, and model evaluation. Deploy ML models on AWS using services such as EC2, Lambda, S3, SageMaker...

We are seeking a highly skilled and motivated MLOps Site Reliability Engineer (SRE) to join our team. In this role, you will be responsible for ensuring the reliability, scalability, and performance of our machine learning infrastructure. You will work closely with data scientists, machine learning engineers, and software developers to build and maintain robust and efficient systems that support our machine learning workflows. This position offers an exciting opportunity to work on cutting-edge technologies and make a significant impact on our organization's success. Responsibilities: Design, implement, and maintain scalable and reliable machine learning infrastructure. Collaborate with data...

Role & responsibilities work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Minimum 4 years of experience in working with NLG, LLM, DL Techniques Relevant understanding of Deep Learning and neural network techniques Expertise in implementing applications using open source and proprietary LLM models Proficient in using Langchain-type orchestrators or similar Generative AI w...

Hiring Data Science & Analytics Trainer skilled in Python, SQL, Power BI, Excel, ML fundamentals, statistics, and real-time project mentoring. Strong communication + hands-on training experience required.

Senior Machine Learning Engineer About the Role: We are seeking a Senior Machine Learning Engineer to lead a customer project focused on improving Sales Reporting performance and conducting deep technical analysis. The ideal candidate will take full ownership of the initiative, diagnose complex issues, work with legacy systems, and guide technical decisions throughout the project. Key Responsibilities: Lead end-to-end ML and data analysis efforts for the project. Investigate and resolve Sales Reporting performance issues caused by expanded data volume. Perform detailed root cause analysis to identify system bottlenecks and propose scalable solutions. Work with legacy system components built ...