457 Ml Algorithms Jobs - Page 4

Job Summary: We are seeking a highly skilled and innovative Generative AI Specialist to join our AI team. The ideal candidate will have hands-on experience in building and deploying AI solutions using cutting-edge technologies such as Retrieval-Augmented Generation (RAG), Python, and Azure AI services. You will be responsible for designing, developing, and optimizing generative AI models to solve complex business problems and enhance user experiences. Key Responsibilities: Design and implement generative AI solutions using RAG frameworks and LLMs. Develop and maintain Python-based AI pipelines for data preprocessing, model training, and inference. Integrate Azure AI services (e.g., Azure Ope...

Senior AI Data Scientist (6+ years) Location: Mumbai • Work Type: Onsite • Team: Data & AI • Reporting to: CTO Company: Brandbuddiez About the Role Were looking for a hands-on Senior AI Data Scientist to lead endtoend development of ML/AI solutionsfrom problem framing and data strategy to model deployment and measurable business impact. Youll partner with engineering, product, and business stakeholders to ship reliable models in production and mentor a small team. What Youll Do Own the full ML lifecycle for 12 highimpact problem areas (discovery delivery iteration). Translate ambiguous business problems into testable hypotheses and modelable objectives. Design, train, evaluate, and ship mode...

Role Overview We are seeking a Machine Learning Data Scientist with hands-on experience in building, training, and deploying ML models that solve real-world business problems. The ideal candidate should be proficient in ML algorithms, feature engineering, model evaluation, and deployment, with strong programming and statistical skills. Key Responsibilities Work with stakeholders to understand business problems and translate them into ML solutions. Perform data exploration, cleaning, and feature engineering for structured and unstructured datasets. Build and validate models using algorithms for classification, regression, clustering, recommendation, NLP, or CV as applicable. Use Python (Panda...

Key Skills Strong in python, understand the requirement, ML algorithms, how agentic AI works, How Prompt engineering works, smart in thinking and solutioning. RAG concepts, AWS knowledge, GEN AI, good system designing knowledge. Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

About the role: We are looking for experienced Data Scientists with strong Python expertise to join our growing AI/ML team. Youll collaborate with a world-class group of machine learning engineers and scientists working on cutting-edge NLP, document understanding, and enterprise automation use cases. Key Responsibilities: Design, build, and evaluate models for NLP, document extraction, classification, and generative tasks. Develop end-to-end ML pipelines from data pre-processing to model inference and monitoring. Work on productionizing models including model packaging, API integration, and deployment using Docker/Kubernetes. Analyse model behaviour, debug Python code and optimize performanc...

Key Responsibilities Design, fine-tune, and manage prompts for diverse enterprise LLM use cases. Operate, monitor, and troubleshoot agentic AI applications , diagnosing whether issues stem from: Prompt structure/quality Model configuration or performance Tool usage, API failures, or memory/recall issues Build diagnostic playbooks for LLM-driven failures, including fallback strategies, retries, and re-routing to human workflows. Collaborate with AI architects, ML engineers, and DevOps teams to optimize agent orchestration across platforms such as LangGraph, CrewAI, AutoGen, etc. Support integration of agentic systems with enterprise tools (Jira, ServiceNow, Glean, Confluence) via REST APIs, w...

Timings: Regular (10-7 PM) IST Contract Duration: Min 3 months, get extended based on the performance & Need Interview rounds: 1 Round International BGV process Key Skills Strong in python, understand the requirement, ML algorithms, how agentic AI works, How Prompt engineering works, smart in thinking and solutioning. RAG concepts, AWS knowledge, GEN AI, good system designing knowledge.

Timings: Regular (10-7 PM) IST Contract Duration: Min 3 months, get extended based on the performance & Need Interview rounds: 1 Round International BGV process Key Skills Strong in python, understand the requirement, ML algorithms, how agentic AI works, How Prompt engineering works, smart in thinking and solutioning. RAG concepts, AWS knowledge, GEN AI, good system designing knowledge. understand the requirement, ML algorithms, how agentic AI works, How Prompt engineering works, smart in thinking and solutioning. RAG concepts, AWS knowledge, GEN AI, good system designing knowledge Location: Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

JOB ROLE : Sr. AI Solution Architect Location : Chennai ( WFO) / INDIA Experience : 8+ years in IT with 3+ years in GEN AI Employment Type: Full-time / Permanent Hire Job Overview: We are seeking a Sr. AI Solution Architect with deep expertise in Artificial Intelligence (AI) and Generative AI (GenAI) to drive solution design, pre-sales engagements, and client delivery. The ideal candidate combines technical excellence with strong business acumen, enabling them to design innovative solutions, craft compelling sales collateral, and confidently engage with executive stakeholders. This role requires proven experience leading teams, shaping solution strategy, and responding to complex RFPs in ent...

Job Title : AI Architect Location : Chennai ( WFO) / INDIA Experience : 8+ years in IT with 5+ years in AI/ML solutions Employment Type: Full-time / Permanent Hire For more Details : 7406626364 About the Role We are looking for an AI Architect to design and lead the implementation of enterprise-grade AI solutions. The AI Architect will be responsible for creating AI/ML roadmaps, defining solution architectures, guiding engineering teams, and ensuring scalable, secure, and ethical deployment of AI systems across the organization. Key Responsibilities Define the AI/ML architecture strategy aligned with business goals. Lead the design, development, and deployment of AI-driven applications and p...

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 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 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 ...

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...