292 Ml Frameworks Jobs - Page 5

As an AI/ML Engineer - I at GeekyAnts, your role will involve designing, developing, and deploying machine learning models and AI solutions. You will work with modern ML frameworks, large language models (LLMs), and build scalable AI applications. **Key Responsibilities:** - Develop and deploy machine learning models using TensorFlow, PyTorch, and Scikit-Learn - Build end-to-end ML pipelines from data preprocessing to model serving - Work with LLMs, implement RAG systems, and develop AI-driven applications - Create REST APIs using FastAPI or Flask and deploy using Docker and Kubernetes - Process and analyze large datasets using SQL, Pandas, and Spark - Implement MLOps practices such as model...

As a Data Scientist at Oracle Health, you will be a crucial part of the team that is advancing healthcare through intelligent data-driven solutions. Your main responsibilities will involve preparing, cleaning, and analyzing both structured and unstructured healthcare data such as EHR, claims, and text. Additionally, you will have the opportunity to develop and test machine learning models under the mentorship of senior data scientists, contribute to exploratory data analysis, feature engineering, and model evaluation, as well as support deployment, testing, and documentation of AI/ML models. Collaborating with cross-functional teams on data pipelines and analytical use cases will also be a k...

Role Overview: You will be working as a Senior Cyber Security Analyst for a company that provides advanced digital and AI-driven solutions focusing on customer onboarding, risk management, and fraud prevention. The organization's technology enables financial institutions and businesses to make faster, more informed decisions by combining data intelligence, automation, and machine learning. Key Responsibilities: - Design, develop, and optimize ML models for credit scoring, risk prediction, and scorecard generation. - Implement scalable pipelines for model training, validation, and deployment in production environments. - Identify, extract, and engineer key features from structured and unstruc...

Job Description: We are seeking a Lead/Architect MLOps Engineer to design and implement scalable ML pipelines and production-grade deployment frameworks. The ideal candidate will have strong expertise in machine learning frameworks , Spark-based data processing , and CI/CD automation . You will lead the architecture and integration of ML systems with cloud infrastructure, ensuring reliability, performance, and reproducibility across the ML lifecycle. Responsibilities: Architect and build scalable ML pipelines for training, testing, and deployment. Integrate MLOps practices with CI/CD workflows for automated model deployment. Optimize data pipelines using Spark and cloud-native solutions. Col...

Model Development:Design, build, and deploy machine learning models for segmentation, predictive analytics, prospect identification, targeting, personalization, Churn prediction & retention, campaign performance and other business use cases. Required Candidate profile Master’s degree in Data Science, Statistics, Computer Science, or related field.4-6 yrs expr in data science, model validation & applied machine learning. Expertise in Python, SQL & ML frameworks .

As an AI Solution Development Manager, you play a crucial role in delivering AI-driven solutions that tackle complex business challenges and create measurable value. Your responsibilities include leading cross-functional teams, overseeing project delivery, and serving as the main liaison between stakeholders and technical teams. Your primary focus is on ensuring the timely and high-quality delivery of solutions, managing stakeholder expectations, and continuously exploring opportunities for AI innovation and business transformation. Key Responsibilities: - Accountable for technical delivery excellence across a portfolio of AI implementation projects - Establishing our business as the preferr...

As an AI Software Engineer at our company, you will play a crucial role in driving innovation and enhancing our software products through intelligent automation and advanced AI solutions. Your primary responsibilities will include designing AI algorithms, working with large datasets, and delivering smart, scalable features. Responsibilities: - Develop and deploy AI algorithms for real-time product integration. - Build and maintain data models and pipelines for large-scale data processing. - Implement autoclassification systems for unstructured data handling. - Work on AI-driven code automation and smart programming tools. - Ensure robust AI software performance using scalable infrastructure ...

As an Assistant Vice President Data Science Lead, you will play a crucial role in leading our AI/ML initiatives and managing a team of expert data scientists. Your strong business acumen and technical expertise will drive data-driven decision-making and foster innovation within the organization. Key Responsibilities: - Lead and mentor a team of data scientists, overseeing end-to-end ML model development and deployment. - Collaborate with business stakeholders to identify high-impact use cases and define the data science roadmap. - Translate business challenges into analytical solutions using ML, AI, and advanced statistical methods. - Supervise project planning, execution, and delivery while...

As a Senior Engineering Lead at Aithon Solutions, you will play a crucial role in leading the end-to-end development of Generative AI products. Your responsibilities will include defining and executing the technology roadmap, developing AI-powered products, establishing engineering best practices, leading and scaling the engineering team, collaborating with cross-functional teams, optimizing scalability and performance, and ensuring security and compliance. Key Responsibilities: - Define and execute the technology roadmap for Generative AI products, ensuring alignment with business goals. - Lead the development of AI-powered products, optimizing models for performance, scalability, and real-...

Job Title: Senior AI Engineer Job Type: Contract Duration: 6 months Work mode: Onsite Location: Hyderabad (Client Office) Start Date: 1st Week of December Job Description: We are seeking a Senior AI Engineer to guide and develop a team of 1015 members with 03 years of Python experience. The ideal candidate will train, coach, and groom the team to work on real-world AI/ML use cases, helping them strengthen their technical foundation and project execution skills. Key Responsibilities: Mentor and train junior team members in Python, AI, and Machine Learning concepts. Guide the team in applying AI/ML techniques to real business problems and customer use cases. Conduct hands-on sessions, code rev...

As a Data Engineer at Codvo, you will play a crucial role in designing and maintaining scalable data pipelines on Google Cloud Platform (GCP). Your responsibilities will include: - Designing, implementing, and maintaining scalable data pipelines on GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. - Ingesting and processing real-time data from connected vehicles and IoT devices. - Developing and maintaining ETL/ELT workflows using Python, SQL, and Apache Beam/Spark. - Ensuring data quality, lineage, and governance in the data lake. - Acting as a bridge between data engineering and analytics teams, performing data wrangling, feature engineering, and ML model prototyping. - ...

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a MLE - Intermediate / Senior Machine Learning Engineer (Production & MLOps Focus) to join our team in Chennai, Tamil N?du (IN-TN), India (IN). Job Title: Intermediate / Senior - MLE - Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx About Machine Learning Engineering at UPS Technology: We're the obstacle overcomers, the problem get-arounders. From figuring it out to getting it done our innovative culture demands yes and how! We are U...

Basic Qualifications: . BS or MS degree in CS or related engineering or science field with 3+ years of relevant experience . Experience with benchmarking and troubleshooting or optimizing performance of a system. . Experience with coding, scripting, and automation. . Background in Networking. . General Linux skills. . Demonstrated ability to lead complex projects, independently resolve ambiguity, collaborate with stakeholders across teams, and communicate effectively. Desired qualifications: . Experience working on clusters, e.g., running HPC/AI workloads, or maintaining an HPC/AI system. . Experience troubleshooting or tuning performance on distributed systems. . Familiarity with elements o...

The Role We are looking for Machine Learning Engineer to join our Models and Applications team. If the challenge of distributed training of large model on large number of GPUs excites you and you are passionate about improving training efficiency and enjoy innovating and coming up with new ideas, then this role is for you. You will be part of world class team focus on addressing the challenge of training generative AI. The Person The ideal candidate should have experience with distributed training pipeline, knowledgeable with distributed training algorithms (Data parallel, Tensor parallel, Pipeline parallel, ZeRO) and familiar with training Large Model. Key Responsibilities Train large model...

Job Title: GenAI Engineer Location: Hyderabad, Telangana, India Department: Emerging Technologies / AI & Data Engineering Reporting To: Head of AI / Director of Innovation Role Purpose The GenAI Engineer will design, build, deploy, and maintain generative AI systems and large language model (LLM)-based solutions that support Greenko's digital initiatives. This will include embedding AI/ML capabilities into energy management platforms, optimizing workflows, enabling advanced analytics, and ensuring reliable, scalable, secure operation of GenAI models. Key Responsibilities Develop and deploy GenAI applications using LLMs (open source or proprietary) for use cases such as predictive analytics, ...

Job Title: Machine Learning Engineer (Azure + Databricks) Location: Navi Mumbai, Bengaluru, Pune, Gurugram, Chandigarh Notice Period: Immediate or serving notice period Relevant Experience: 3+ Years Primary Skills: Python DS | DE | ETL (Must) Advanced Python (Must) Machine Learning (Must) Deep Learning (Understanding/Basic) Natural Language Processing (NLP) (Understanding/Basic) Computer Vision (Understanding/Basic) Python for Image Processing (Understanding/Basic) ML Frameworks (Must) Azure Cloud (Must) Databricks (Must) Agile Methodology (Good to have) DevOps (Basic/Understanding) Job Summary: We are seeking a talented and accomplished Machine Learning Engineer with expertise in Azure and ...

Job Title: Machine Learning Engineer (Azure + Databricks) Location: Navi Mumbai, Bengaluru, Pune, Gurugram, Chandigarh Notice Period: Immediate or serving notice period Relevant Experience: 3+ Years Primary Skills: Python DS | DE | ETL (Must) Advanced Python (Must) Machine Learning (Must) Deep Learning (Understanding/Basic) Natural Language Processing (NLP) (Understanding/Basic) Computer Vision (Understanding/Basic) Python for Image Processing (Understanding/Basic) ML Frameworks (Must) Azure Cloud (Must) Databricks (Must) Agile Methodology (Good to have) DevOps (Basic/Understanding) Job Summary: We are seeking a talented and accomplished Machine Learning Engineer with expertise in Azure and ...

Key Responsibilities: Conduct feature engineering, data analysis, and data exploration to extract valuable insights. Develop and optimize Machine Learning models to achieve high accuracy and performance. Design and implement Deep Learning models, including: Artificial Neural Networks (ANN) Convolutional Neural Networks (CNN) Reinforcement Learning techniques Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. Collaborate with cross-functional teams to align ML solutions with business goals. Utilize fundamental stati...

Key Responsibilities: Conduct feature engineering, data analysis, and data exploration to extract valuable insights. Develop and optimize Machine Learning models to achieve high accuracy and performance. Design and implement Deep Learning models, including: Artificial Neural Networks (ANN) Convolutional Neural Networks (CNN) Reinforcement Learning techniques Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. Collaborate with cross-functional teams to align ML solutions with business goals. Utilize fundamental stati...

Key Responsibilities: Conduct feature engineering, data analysis, and data exploration to extract valuable insights. Develop and optimize Machine Learning models to achieve high accuracy and performance. Design and implement Deep Learning models, including: Artificial Neural Networks (ANN) Convolutional Neural Networks (CNN) Reinforcement Learning techniques Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. Collaborate with cross-functional teams to align ML solutions with business goals. Utilize fundamental stati...

Basic Qualifications: . BS or MS degree in CS or related engineering or science field with 6-10+ years of relevant experience . Experience with benchmarking and troubleshooting or optimizing performance of a system. . Experience with coding, scripting, and automation. . Background in Networking. . General Linux skills. . Demonstrated ability to lead complex projects, independently resolve ambiguity, collaborate with stakeholders across teams, and communicate effectively. Desired qualifications: . Experience working on clusters, e.g., running HPC/AI workloads, or maintaining an HPC/AI system. . Experience troubleshooting or tuning performance on distributed systems. . Familiarity with element...

Basic Qualifications: . BS or MS degree in CS or related engineering or science field with 3+ years of relevant experience . Experience with benchmarking and troubleshooting or optimizing performance of a system. . Experience with coding, scripting, and automation. . Background in Networking. . General Linux skills. . Demonstrated ability to lead complex projects, independently resolve ambiguity, collaborate with stakeholders across teams, and communicate effectively. Desired qualifications: . Experience working on clusters, e.g., running HPC/AI workloads, or maintaining an HPC/AI system. . Experience troubleshooting or tuning performance on distributed systems. . Familiarity with elements o...

As a Principal Associate, Full Stack Engineer at Capital One, you will be part of the Machine Learning Experience (MLX) team focusing on observability and model governance automation for cutting-edge generative AI use cases. Your role will involve building solutions to collect metadata, metrics, and insights from the large-scale genAI platform. You will work on developing intelligent solutions to gain deep insights into the platform's performance and compliance with industry standards. **Key Responsibilities:** - Lead the design and implementation of observability tools and dashboards to provide actionable insights into platform performance and health. - Utilize Generative AI models to enhan...

As a Data Scientist, you will play a crucial role in utilizing your expertise in various tools and techniques to derive insights from data. Your primary responsibilities will include: - Utilizing Classification techniques such as Decision Trees and SVM, Distance metrics like Hamming, Euclidean, and Manhattan Distance, as well as Forecasting methods like Exponential Smoothing, ARIMA, and ARIMAX. - Implementing ML Frameworks including TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, and MXNet for model development. - Conducting Statistical analysis and computing using tools like Python, PySpark, R, R Studio, SAS, and SPSS. - Applying Regression models like Linear and Logistic Regression, and c...

You are an experienced Python Developer with 5-6 years of expertise in backend development and AI/ML. Your role involves designing and maintaining scalable backend solutions, RESTful APIs, and data pipelines while optimizing performance and security. Additionally, you will be responsible for building, training, and deploying AI/ML models, Retrieval-Augmented Generation (RAG) pipelines, and integrating with vector databases and LLM frameworks. Key Responsibilities: - Design, develop, and maintain efficient, reusable, and reliable Python code. - Build scalable backend solutions and lightweight APIs for ML/LLM-driven applications. - Develop, train, and fine-tune AI/ML models for production use ...