471 Ml Algorithms Jobs - Page 5

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks a...

Designs, develops, and deploys ML and GenAI models for customer solutions and platform components. Responsibilities: Implement ML models from prototype to production. Fine-tune foundation models for domain-specific applications. Optimize performance and ensure scalability. Collaborate with MLOps and Data Engineers for deployment. Mandatory Skills: ML algorithms (supervised, unsupervised, reinforcement learning). Feature engineering, vector embeddings, time-series, unstructured data (text, images, audio) analysis. Model optimization (hyperparameter tuning, regularization). Deep Learning (CNNs, RNNs, Transformers, Attention) Model optimization for inference (ONNX, TensorRT, quantization) A/B t...

Responsibilities: * Optimize model performance through data analysis and experimentation * Develop ML models using Python, AI algorithms, NLP techniques * Collaborate with cross-functional teams on project delivery

Role Overview: As a Generative AI Engineer at Prismforce, you will be responsible for working on cutting-edge NLP and ML projects. By leveraging large language models (LLMs) and advanced deep learning techniques, you will play a crucial role in solving complex business challenges. Your role will involve fine-tuning LLMs, evaluating and improving RAG (Retrieval-Augmented Generation) pipelines, applying transfer learning and transformer architectures, validating model accuracy, collaborating with product teams, contributing innovative ideas, and maintaining an experimental mindset. Key Responsibilities: - Fine-tune LLMs using techniques like LoRA and QLoRA - Evaluate and improve RAG pipelines ...

Role Overview: At PE, we are dedicated to building applications that drive financial decisions through data-driven insights, adaptability, and domain expertise. Leveraging AI/ML technologies, we aim to uncover hidden patterns in vast amounts of data across various industries, fostering business growth and improving quality of life. Key Responsibilities: - Utilize AI/ML techniques to identify and analyze hidden patterns and correlations within extensive datasets. - Develop an AI system capable of selecting the optimal response from a multitude of options across diverse scenarios, ranging from capital markets to healthcare. - Ensure the accuracy and reliability of our platform by consistently ...

This is an exciting opportunity for a Data Scientist to deliver high-value analytics solutions for the Version 1 AI Labs. This provides a unique opportunity for people who are passionate about technology and have a deep commitment to code quality and best practices to build something special and make a real difference to our business and to our customers business. You will have strong experience in building solutions using a variety of open-source tools and exposure to Python, Spark, NLP, Transformers and a proven track record in delivering high-quality work to tight deadlines. The successful candidate will work on a wide range of projects across both traditional AI techniques (e.g. machine ...

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools ...

We are looking for a Senior Data Scientist with hands-on experience in Generative AI (GenAI) to drive innovation through cutting-edge AI/ML solutions. This role involves designing and implementing GenAI models and pipelines that solve business problems and enhance productivity. You will collaborate with cross-functional teams to deliver solutions using large language models (LLMs), transformers, and other generative techniques. Key Responsibilities: Develop and fine-tune Generative AI models using LLMs (e.g., GPT, LLaMA, Claude, PaLM) for tasks like summarization, content generation, question answering, semantic search, etc. Build end-to-end GenAI-powered solutions including prompt engineeri...

About Zscaler Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named...

As an innovative and highly skilled AI/ML Specialist, your role will involve designing, developing, and deploying advanced machine learning and artificial intelligence solutions to tackle complex business challenges. You should have expertise in machine learning algorithms, deep learning frameworks, and AI model deployment, along with the ability to work with large datasets to deliver impactful, scalable solutions. **Key Responsibilities:** - Design, develop, and optimize machine learning and deep learning models for various use cases. - Collect, preprocess, and analyze structured and unstructured datasets to prepare them for model training. - Select appropriate algorithms and techniques bas...

AI/ML projects LLMs/SLMs, MCP architecture,RAG pipelines,Vector DBs,Agentic AI workflows and automations Python, R TensorFlow, PyTorch, Keras, Scikit-learn, & cloud-based AI services AWS SageMaker, Azure ML send cv - sairamglobal.hr@gmail.com Required Candidate profile Education 15 years full time regular study Notice period : 0 to 45 days Good Communication skills required Loc: Bangalore, Hyderabad, Chennai Exp Docs should be clear with PF and Bank Statement

**Role Overview:** As an AI Model Developer, you will be responsible for designing, developing, and implementing cutting-edge machine learning algorithms and models, with a focus on NLP, Generative AI, and other AI technologies. You will stay updated with the latest advancements in machine learning and artificial intelligence, conducting research to identify new techniques and approaches to enhance AI solutions. Analyzing large and complex datasets to extract meaningful insights using statistical analysis and machine learning techniques will be a key part of your role. **Key Responsibilities:** - Collaborate with cross-functional teams, including software engineers and data scientists, to ef...

Role Purpose The role is responsible for ensuring the implementation of strategies & policies to ensure portfolio growth, maintaining delinquencies within benchmarks through regular tracking mechanisms together with designing and launching new campaigns to achieve organization goals. Role Accountability 1. Maintain & sustain profitability in Encash Portfolio and delinquency rates below benchmark levels 2. Offer encash & CLI to low and marginal-risk segments, which act as an NEA builder for the portfolio 3. Effective Utilization of data from other bureaus to offer encash to customers 4. Track & monitor portfolio performance and take corrective actions to maintain the portfolio delinquency wit...

As a highly skilled MLOps Engineer at UPS, you will design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). Your responsibilities will include automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. Your role will involve collaborating with technical teams and business stakeholders to develop cutting-edge machine learning systems that add value to the business. Responsibilities: - Managing the deployment and maintenance of machine learning models in production en...

Data Science Senior Advisor Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. Whats more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Data Science Senior Advisor on our Pr...

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...

GraphRAG & Agent Systems, design, build and deploy production-ready GraphRAG (Graph + Retrieval-Augmented Generation) systems and autonomous AI agents, Develop and maintain robust data ingestion pipelines, Fine-tune and prompt engineer

Strong programming skills in Python, R, or other data science languages. Experience with SQL and NoSQL databases. Familiarity with machine learning frameworks and cloud services Experience with data visualization tools e.g.Tableau, Power BI

About The Role Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a highly skilled and visionary AI/ML Manager to lead the development of advanced AI-driven applications and solutions using Google Cloud's Conversational AI (CCAI) platform and Gen AI models. In this role, you will architect, design, and deploy scal...

About Company: Talent Formula is a consulting firm that offers outsourced financial and accounting talent to Chartered Accounting firms worldwide. We are currently sourcing for Data Scientist. We are looking for a candidate who is enthusiastic, can fit in the team with the following requirements.We are looking for a Data Scientist with strong software engineering capabilities to join our team. This is a key role in helping us unlock the power of data across our platform and deliver valuable insights to hospitality businesses. You will work on projects ranging from statistical modelling and anomaly detection to productionizing ML pipelines (ranged from time series forecasting to neural networ...

UHG is seeking a solid information security professional to join our Red team. This role will design and deliver realistic adversarial cyberattacks that will not only test the effectiveness of the security stack but will improve the companys ability to detect and respond to these types of attacks. Youll enjoy the flexibility to work remotely from anywhere as you take on some tough challenges. Primary Responsibilities: Participate in the planning, design and implementation of assessments and plans Perform full scope adversarial simulation/red team assessments against AI systems Work with the Blue Team in order to develop new and improved ways to defend the organization Prepare reports contain...

Role & responsibilities Build predictive models for demand-driven inventory allocation and replenishment. Develop optimization models to maintain healthy stock levels across warehouses, stores, and channels. Analyze sell-through rates, lead times, and inventory turnover to recommend actions. Create dashboards and tools for real-time visibility into inventory health. End-to-end model development from data collection to deployment and monitoring. Partner with supply chain, logistics, and merchandising teams to implement insights. Preferred candidate profile 3+ years of experience in inventory optimization or supply chain analytics . Proficiency in Python, Pandas, NumPy, PySpark, SQL . Knowledg...

Role & responsibilities Experience on Agentic AI/ Frameworks Strong programming skills in languages such as Python, SQL/NoSQL etc. Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc. Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras. Knowledge of math, probability, and statistics. Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms. Exposure in developing API using Flask/Django. Good experience in ...

Job Title Ind & Func AI Value Strategy Consultant S&C GN Management Level: 09 - Consultant Location: All locations Must have skills: ML algorithms, NLP and Predictive Analytics, Conversational Analytics, Python, Cloud Knowledge (Azure/AWS/GCP), Proficiency in BI tools (Power BI/Tableau/ Qlik Sense/ThoughtSpot/Figma etc.). Leverages artificial intelligence and machine learning techniques to enhance BI processes along with consulting experience of AI driven BI Transformations (Defining BI Governance, Operating model, Assessment Framework etc.) Good to have skills: Knowledge of Gen AI Models implementation (Open AI, Mistral, Phi-2, Solar, Claude 3 etc.), Agentic architecture implementation Abou...

Dear Applicant, We are looking for a self-driven Python Developer with 4-6 years of experience to design, develop, and scale web applications and backend systems. The ideal candidate should be comfortable working in production environments, bringing strong problem-solving skills and experience with databases. Collaboration with AI teams is a key part of the role , so a background or interest in AI/ML will be highly valued. Key Responsibilities: Develop and maintain Python applications to address operational business needs. Work on production-grade systems, ensuring scalability, performance, and reliability. Collaborate closely with the AI team to integrate machine learning models and AI-base...