203 Ml Models Jobs

Role & responsibilities Design and implement AI/ML models for anomaly detection, forecasting, and incident prediction. Develop and optimize MLOps pipelines for scalable, automated model training, validation, deployment, and monitoring. Select and evaluate appropriate algorithms and statistical methods for diverse telecom data sets. Apply best practices for data preprocessing, feature engineering, and model interpretability. Collaborate with software architects and engineering teams to integrate ML models into a cloud-native, microservices-based platform. Contribute to the selection and integration of MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Ensure data quality, governance,...

AI Architect We are a US based Stealth mode Start-up location: Hyderabad / Bangalore / Remote ( any where in India ) We unify the processes used in Semiconductor and Hardware Systems design - thus reducing bugs, improving efficiency and productivity Our breakthrough technology has drawn investment from Silicon Valley's boldest VCs and semiconductor pioneers. Beyond capital, they bring decades of expertise and powerful networks, AI Architect: This role offers an exceptional opportunity to influence, innovate, and push the boundaries of AI technology for Collateral Generation and Product Life Cycle management Key Responsibilities: - Define and lead the technology development in advancing AI, G...

Role Overview: Cowbell is revolutionizing the cyber insurance industry by leveraging technology and data to offer small and medium-sized enterprises (SMEs) advanced warning of cyber risk exposures along with adaptable cyber insurance coverage. With a focus on adaptive insurance, Cowbell continuously assesses policyholders' cyber risk exposures and underwrites policies in less than 5 minutes using their unique AI-based underwriting platform powered by Cowbell Factors. They have experienced rapid growth since their founding in 2019, operating in the U.S., Canada, U.K., and India, and recently received a significant investment from Zurich Insurance. Key Responsibilities: - Design and implement ...

As a Data Scientist and GenAI Expert at SAP Customer Success Services team- BTP Delivery@Scale, you will be responsible for building or augmenting applications leveraging AI/ML to support specific business objectives. Your expertise in developing ML models for customer-specific business scenarios will contribute to improving efficiency and reducing errors over time in business processes. **Role Overview:** You will be part of a team focused on integrating data and processes to enable customers to become Intelligent Enterprises. By leveraging AI technology, you will play a key role in enhancing business processes within and across SAP enterprise solutions, bringing added value to customers. *...

We are looking for a highly experienced Senior Machine Learning Engineer with 10+ years of combined experience in software engineering and machine learning. This role requires end-to-end ownership of scalable ML model developmentspanning data preparation, feature engineering, model training, deployment, and optimization in production. The ideal candidate excels at building robust ML systems, collaborating with cross-functional teams, and delivering high-performance machine learning solutions at scale. Key Responsibilities Design, build, and deploy machine learning models along with complete end-to-end ML pipelines. Engineer high-quality features and manage large, complex datasets for model t...

About Position: We are seeking for Sr.AI Architect with hands-on experience in AI Architectures, MLOps, ML Models, etc., Role: Senior AI Architect Location: All Persistent Locations Experience: 11+ years Job Type: Full Time Employment What You'll Do: End-to-End ML Development & Model Optimization Design, develop, and deploy ML models including Random Forest, XGBoost, Light GBM, SVMs, and Deep Learning models (CNN, RNN, Transformers). Perform hyperparameter tuning using Grid Search, Bayesian Optimization, Genetic Algorithms, and Reinforcement Learning. Implement advanced feature engineering, feature selection, and dimensionality reduction techniques (PCA, LDA). Optimize model inference latenc...

Role Overview: You will be the Machine Learning Lead at a product-based e-Commerce company in Bangalore, responsible for designing and maintaining significant features in data pipelines, ML processing, and service infrastructure. Your tasks will involve creating complex solutions for building pipelines, processing datasets, providing search capabilities, driving integration between data layers and customer-facing applications, and running A/B tests to measure functionality impact. Key Responsibilities: - Design, deliver, and maintain significant features in data pipelines, ML processing, and service infrastructure - Optimize software performance to achieve required throughput and latency - C...

We are looking for an experienced Coveo Search Developer to design, configure, and implement intelligent search and recommendation solutions using the Coveo platform. The ideal candidate will have strong expertise in Coveo for Sitecore, Salesforce, or Adobe Experience Manager (AEM), along with solid knowledge of search indexing, relevance tuning, and query optimization. Experience- 6-10 Years Key Responsibilities: Design, implement, and maintain enterprise search solutions using Coveo Cloud and Coveo for AEM/Sitecore/Salesforce. Configure and manage Coveo Index Pipelines, Sources, and Security Identities. Develop and customize Coveo Query Pipelines to optimize search relevance, facets, and f...

As a Data Scientist and LLM Operations Specialist, your role will involve utilizing your expertise in data science to manage structured and unstructured data effectively. Below are the key responsibilities for this position: - Proven experience in data science, with a strong background in statistical techniques, predictive analytics, and the ability to effectively report results. - Experience in applied science in fields such as Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL), or Multimodal Analysis. - Proficiency in software development, data modeling, and data engineering, with a deep understanding of building and scaling ML models, specifically LLMs. - Familia...

As a Senior Data Visualization lead for a franchise critical metrics and controls application, your role will involve being responsible for enterprise impacting insights and metrics. This includes working with the ROCK-controls Command center as one of the delivery channels and component of Olympus data fabric, providing a centralized platform for all SMC Data Controls, specific Business Controls, and SMC Application Estate System Controls. This is a great opportunity to contribute to a fast-paced and forward-looking technology organization. Key Responsibilities: - Establish data visualization standards and explore new tools to enhance those standards periodically - Scope projects, evaluate ...

Role Overview: As a Business Analyst at PhonePe, you will be an integral part of the pod strategy, defining critical metrics, monitoring performance trends, and influencing interventions. You will collaborate closely with the business and product functions to understand the business problem and translate them into the right analytical problem statement. Additionally, you will own the entire insight generation phase, conduct deep analysis, and provide unbiased answers based on data-driven hypothesis. You will also contribute with individual thoughts on improving critical metrics, act as the analytics and visualization SME for the team, and mentor other analysts while playing an active role in...

Role Overview: At Fiddler, you will be part of a team dedicated to building trust into AI solutions. The company's mission is to enable organizations to develop trustworthy, transparent, and explainable AI models to address issues such as spam, fraudulent transactions, hate speech, and online abuse. As a member of the team, you will play a key role in monitoring, explaining, analyzing, and improving AI solutions to ensure performance, mitigate bias, and drive better outcomes. Fiddler's platform empowers both engineering teams and business stakeholders to understand the rationale behind model outcomes. Key Responsibilities: - Design and build a world-class cloud platform for enterprises to mo...

Role Overview: As a Data Scientist specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), you will play a crucial role in designing, fine-tuning, and deploying cutting-edge open-source and API-based LLMs to address real-world challenges. Your primary focus will be on creating robust GenAI pipelines, innovative internal tools, and engaging client-facing applications. You will have the exciting opportunity to work at the forefront of AI technology, contributing to the advancement of intelligent systems through the utilization of Retrieval-Augmented Generation (RAG) frameworks, vector databases, and real-time inference APIs. Key Responsibilities: - Fine-tuning and o...

Role Overview: As a CDP Specialist, you will be responsible for building, optimizing, and managing a robust customer data ecosystem to support personalized marketing strategies, analytics, and data-driven decision-making. The role demands technical expertise and hands-on development skills to implement and maintain the CDP infrastructure. Key Responsibilities: - Lead the implementation and configuration of the Customer Data Platform, ensuring proper integration with marketing technologies. - Oversee the collection, organization, and maintenance of customer data within the CDP, ensuring it is accurate, complete, and up to date. - Implement data governance protocols to maintain data quality, c...

As a Data Scientist with 4+ years of experience, your role will involve designing, developing, and deploying end-to-end ML and NLP solutions. You will be responsible for building RAG-based pipelines using vector stores and LLMs for real-world use cases, developing embedding pipelines using OpenAI, HuggingFace, SentenceTransformers, and more. Additionally, you will perform data cleaning, transformation, feature engineering, EDA, fine-tune foundational models, and apply few shot / in-context prompting techniques. Collaboration with Engineering and Product teams to translate business problems into AI solutions and contributing to MLOps workflows including model deployment, testing, and CI/CD wi...

As an Assistant Director, Risk Modeling and Monitoring at HSBC, you will play a crucial role in developing and implementing data science applications for higher business value. Your responsibilities will include: - Having a fundamental understanding of ML models such as Boosting, Random Forests, Deep Learning, Anomaly Detection, and Unstructured Data Analysis, as well as major Statistical algorithms used in Credit Scoring and Strategy. - Partnering with functional business leaders to create data science applications that can be deployed across regions and markets. - Translating key analytical solutions into generic and re-deployable strategies. - Assessing the relationship between recommende...

Role and responsibilities: Design, implement, and deploy predictive and prescriptive models using Python and Data-bricks. Define and implement best practices for data ingestion, cleaning, and feature engineering. Optimize Spark jobs and workflows for scalability and cost-efficiency. Lead A/B testing and statistical validation of models. Implement robust pipelines for model deployment and monitoring. Work closely with business stakeholders to identify opportunities and deliver data-driven so-lutions. Coach junior team members and contribute to knowledge-sharing sessions. Stay updated on emerging trends in AI/ML and propose innovative solutions. Technical Skills & Expertise: Advanced proficien...

Role Overview: As a Senior Manager/Manager in Data Science & Analytics, you will play a crucial role in leading the business analytics and insights charter. Your primary responsibility will be partnering with the leadership team to make high-impact strategic decisions. To excel in this role, you will need a strong blend of analytical expertise, technical proficiency, and business understanding. Your contribution will be instrumental in shaping the organization's data-driven decision-making process by leveraging advanced analytics, ML models, and Generative AI to solve critical business problems effectively. Key Responsibilities: - Lead Business & Product Analytics by driving analytical initi...

Role & Responsibilities Build and deploy AI/ML & Computer Vision models Work on robotics perception: sensor fusion & object detection Optimize models using NVIDIA GPU, CUDA, TensorRT Develop ML pipelines using Python, Linux, CI/CD Integrate ML models into real-time embedded/robotic systems Preferred Candidate Profile 4-6 years in AI/ML, Computer Vision, Robotics ML Strong in Python, GPU optimization, embedded ML Experience with ROS/ROS2, Isaac, Jetson ecosystem (preferred) Comfortable with night shift & on-site Hyderabad role

As an AI/ML Engineer, your role involves designing, validating, and integrating cutting-edge machine learning models and algorithms. You will collaborate closely with cross-functional teams, including data scientists, to recognize and establish project objectives. Your responsibilities will include overseeing data infrastructure maintenance to ensure streamlined and scalable data operations. It is essential to stay updated with advancements in AI and propose their integration for operational enhancement. You will be required to effectively convey detailed data insights to non-technical stakeholders and uphold stringent data privacy and security protocols. Engage in the full lifecycle of AI p...

As a Senior Algorithm Software Engineer at DealerSocket, Bangalore, you will be responsible for leading a team focused on developing enhancements to transportation routing and scheduling algorithms. Your role will involve analyzing, designing, programming, and debugging algorithm improvements. You will also be required to present technical documentation to the team and stakeholders, interact with users to define system requirements, and participate in software design discussions. Key Responsibilities: - Design, implement, and troubleshoot complex algorithms with a focus on traditional and ML-based solutions. - Optimize algorithm performance and scalability for real-world applications, addres...

As a highly experienced Senior Solution Monitoring Tool Architect specializing in Monitoring Tools and AI-driven Observability, your role is pivotal in designing, implementing, and evolving enterprise-grade monitoring architectures that leverage AI/ML for predictive insights, automated incident response, and real-time analytics across hybrid and cloud-native environments. Key Responsibilities: - Design and implement scalable, resilient monitoring architectures using platforms like Prometheus, Grafana, ELK, Datadog, or Dynatrace. - Architect AI-enhanced observability solutions using ML models for anomaly detection, root cause analysis, and predictive maintenance. - Define and implement SLOs/S...

hackajob is collaborating with American Express to connect them with exceptional tech professionals for this role. At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role Respons...

We are hiring an experienced ServiceNow AI Developer/Consultant with 410 years of experience to design and implement AI-powered features, intelligent workflows, and automation solutions within the ServiceNow platform The candidate must have strong experience in ITSM (mandatory) and ServiceNow core modules, along with hands-on exposure to AI technologies such as Virtual Agent, Now Assist, NLU, and Predictive Intelligence Responsibilities include configuring ServiceNow modules with AI enhancements, developing Virtual Agent topics, integrating external LLMs (OpenAI, Azure AI), setting up NLU models, customizing AI use cases (e g , incident summarization), and building custom ML solutions using ...

This role has been designed as 'Onsite with an expectation that you will primarily work from an HPE office. Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If ...