1181 Gen Ai Jobs - Page 15

We seek a Senior Gen AI Engineer with strong ML fundamentals and data engineering expertise to lead scalable AI/LLM solutions. This role focuses on integrating AI models into production, optimizing machine learning workflows, and creating scalable AI-driven systems. You will design, fine-tune, and deploy models (e.g., LLMs, RAG architectures) while ensuring robust data pipelines and MLOps practices. Key Responsibilities Agentic AI & Workflow Design: Lead design and implementation of Agentic AI systems and multi-step AI workflows. Build AI orchestration systems using frameworks like LangGraph. Utilize Agents, Tools, and Chains for complex task automation. Implement Agent-to-Agent (A2A) commun...

About this role: Wells Fargo is seeking an individual contributor for the Strategy and Execution function for Global Operations Data, Analytics and Reporting. This role involves working on governance, driving initiatives and projects, working closely with senior management on key deliverables, and collaborating with business and technical stakeholders. In this role, you will: Act as a Business Execution advisor to leadership to drive performance and initiatives, and develop and implement information delivery or presentations to key stakeholders and senior management Work on multiple business functional areas with focus on implementing and delivering long-term strategies, policies, and proces...

Role & responsibilities Senior Developer or Module Lead with a total IT experience of 5-8 years. Strong programming knowledge in one of the following technology areas: 2. .NET: Knowledge of ASP.NET and Web API development. Application development is mandate. Experience with any one of the following cloud platforms and services: Azure: Azure App Service or Azure Functions, Azure Storage OR AWS: Elastic Beanstalk, Lambda, S3 Experience with at least one of the following databases: Oracle, Azure SQL, SQL Server, Cosmos DB, MySQL, PostgreSQL, or MongoDB. Minimum of 2 years experience in developing GenAI solutions using any LLMs and deploying them on cloud platforms. Collaborate with team members...

Role & responsibilities Senior Developer or Module Lead with a total IT experience of 5-8 years. Strong programming knowledge in one of the following technology areas: Java: Proficiency with Spring or Spring Boot. Application development is mandate. Experience with any one of the following cloud platforms and services: Azure: Azure App Service or Azure Functions, Azure Storage OR AWS: Elastic Beanstalk, Lambda, S3 Experience with at least one of the following databases: Oracle, Azure SQL, SQL Server, Cosmos DB, MySQL, PostgreSQL, or MongoDB. Minimum of 2 years experience in developing GenAI solutions using any LLMs and deploying them on cloud platforms. Collaborate with team members and cust...

Role & responsibilities Senior Developer or Module Lead with a total IT experience of 5-8 years. Strong programming knowledge in one of the following technology areas: 1. Python: Familiarity with frameworks like FastAPI or Flask, along with data libraries like NumPy and Pandas. Application development is mandate. Experience with any one of the following cloud platforms and services: 1. Azure: Azure App Service or Azure Functions, Azure Storage OR 2. AWS: Elastic Beanstalk, Lambda, S3 Experience with at least one of the following databases: Oracle, Azure SQL, SQL Server, Cosmos DB, MySQL, PostgreSQL, or MongoDB. Minimum of 2 years experience in developing GenAI solutions using any LLMs and de...

Data Scientist Notice period/ Start Date :- Immediate / less than 60 days. Location : Bangalore,Hyderabad, Mumbai, Pune, chennai , NCR Below detail JD FYR, Experience with Data Science, AI/ML and Generative AI technologies - Extensive hands-on experience in implementing end to end projects utilizing GenerativeAI using Microsoft Azure AI , OpenAI - Extensive hands-on experience in building GenerativeAI application using methodologies such as RAG - Experience in automating various aspects of the overall RAG pipeline for GenerativeAI based application - Experience in designing solutions utilizing GenerativeAI , AI and ML components. - Hands-on experience in working with Azure OpenAI services or...

Role & responsibilities Our client is looking for highly skilled candidates in Generative AI & Python with strong cloud and AI expertise. Skill Requirements We are targeting candidates with expertise in the following areas: Generative AI (GenAI) Python Experience with any Cloud platform (AWS, Azure) LLM architecture, prompt engineering, and multi-modal AI knowledge Experience with frameworks like PyTorch, TensorFlow, and Hugging Face Interview Mode-Face to Face on Saturday(23-Aug-25) Chennai

Roles and Responsibilities : Develop predictive models using machine learning algorithms to drive business outcomes in the banking industry. Collaborate with cross-functional teams to design and implement data-driven solutions for marketing campaigns, customer segmentation, and portfolio management. Analyze large datasets to identify trends, patterns, and correlations that inform strategic decision-making across various business units. Design and maintain complex statistical models using Python programming language. Job Requirements : 7-15 years of experience in data science or a related field with expertise in artificial intelligence, deep learning, generative AI, natural language processin...

Responsibilities: * Develop chatbots using Agilent AI & GenAI * Optimize machine learning models with TensorFlow * Design, train & deploy AI solutions * Collaborate on AIMl projects within the team * Ensure data privacy compliance Food allowance Annual bonus Accessible workspace Flexi working Cafeteria

Greetings from BMW Techworks!!!! Please find the below job description for your reference: Job Description: Role: Junior GenAI Developer Location: Chennai / Bangalore Note: We are looking for within 30 days of Notice period. What awaits you/ Job Profile: The BMW Group aims to harness the potential of generative AI across all business processes. By utilizing AI applications that assist business users in their daily tasks and creating autonomous AI agents capable of executing complex workflows, we envision a transformative AI-driven future. Central to this transformation is the BMW Group AI platform, GAIA (Group Artificial Intelligence Assistant), which offers a cutting-edge AI toolkit for dev...

Job Description: Proven experience as a Python Developer, with a strong portfolio of projects. Good command over prompt engineering. In-depth knowledge of generative AI technologies and frameworks. Strong understanding of OOP concepts and design patterns. Experience with microservices architecture and implementation. Proficiency in developing and integrating RESTful APIs. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities.

JD: Overall 6+ years of Experience in IT Industry Java FSE with any of AI tools knowledge.Develop and integrate AI-driven features such as NLP, regression models, and GenAI APIs into microservices workflows, leveraging tools like OpenAI, Copilot, and semantic search engines Interested can share your CV to preetha.p@tekskills.in Thanks & Regards, Preetha Parthiban IT Recruiter India Recruitment preetha.p@tekskills.in | P: +91 40 67 28 49 29 YOUR IT CONDUIT INDIA | USA | CANADA | UK I AUSTRALIA www.tekskillsinc.com | Follow us on LinkedIn ISO 9001:2015 | Appraised at CMM Level 3 | WMBE Certified Company

Role & responsibilities Analyze large and complex data sets to identify patterns, trends, and actionable insights using AI techniques. Develop and implement AI models, including machine learning, deep learning, and natural language processing algorithms, to address client-specific challenges. Design, develop, test, and deploy scalable AI solutions in production environments (a plus) Collaborate with cross-functional teams, including consultants and industry experts, to understand client needs and deliver AI-driven solute Communicate findings and insights effectively to both technical and non-technical stakeholders. Must Have Requirements - Statistical Knowledge - Good communication skills - ...

Role & rJob Title: Senior Machine Learning Engineer Anomaly Detection & Time Series Forecasting Location: Bangalore Department: Engineering – AI/ML Job Overview: Resolve Tech Solutions is seeking an experienced Senior Machine Learning Engineer to drive the development of AI-driven anomaly detection, time series forecasting, and predictive analytics models for our next-generation observability platform. This role will focus on designing, building, and deploying ML models that provide real-time insights, predictive alerts, and intelligent recommendations powered by LLMs. As a key individual contributor, you will work on solving complex challenges in large-scale cloud environments while collabo...

We are looking for a Senior DevOps Engineer for Bangalore . If you are passionate about automation, cloud infrastructure, and DevOps practices, this could be the right opportunity for you. Key Skills Required: Strong experience with Google Cloud Platform (GCP) Expertise in CI/CD pipelines, Docker, Kubernetes Experience with Java, REST APIs, Spring Boot Scripting (Python/Bash), troubleshooting & production support Responsibilities: Build & manage scalable CI/CD pipelines Automate and manage cloud infrastructure on GCP Collaborate with development teams for smooth delivery Implement monitoring, alerting, and issue resolution Job Location: Bangalore Experience: 5+ years If interested, kindly sh...

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.