1632 Gen Ai Jobs - Page 34

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.

Roles & Responsibilities Minimum 15+ years of experience in HRO Outsourcing industry of which at least 8+ years in managing large HR Transformation initiatives. End-to-End conceptualization and delivery of all HRO Transformation solutions for clients encompassing formulation and deployment of Digital Assets and Analytics solutions and Creating / proposing a transformation road map for existing clients /processes Lead the customer engagement, design and change process with customers that meet and exceed their business requirements and enable the successful build and implementation of Digital solutions Digital Initiative across following primary impact areas; Infusion of Digital Technologies w...

We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing our generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services. Key Responsibilities: AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications,...

Developing and implementing novel Machine Learning (ML)/Artificial Intelligence (AI) solutions to solve complex problems and improve operational efficiency.

Job Description: As an LLMOps Engineer, you will play a crucial role in the deployment, maintenance, and optimization of large language models (LLMs). Your responsibilities will span the entire lifecycle of LLMs, from initial deployment to ongoing operations, ensuring optimal performance, scalability, and reliability. 5+ years of relevant experience in data engineering roles. Key Responsibilities: LLM Deployment and Integration - Deploy and integrate large language models into production environments, ensuring seamless integration with existing systems and applications. Infrastructure Planning and Scaling - Collaborate with cross-functional teams to plan and design the infrastructure require...

Azure Devops Engineer- Gen AI Loc-BGLR,PUNE 4-5y 20lpa 5-7y 35lpa Gen AI,Azure Devops,Terraform,ARM templates,Iac,Azure Machine Learning,AKS,Jenkins, Github,CiCd Pipeline,Azure Pipelines,Docker,Kubernetes Drop your Cv at rashibimaginators@gmail.com

We are looking for Data scientist who are interested to work from office 5 days a week . Location : Noida (Work from office) Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Scientist with 4-5 years of hands-on experience. Strong proficiency in Python programming, machine learning model development, and GenAI integration. Expertise in machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Knowledge of MLOps practices, including model versioning and containerization. Excellent data analysis and problem-solving skills with attention to detail. Effective communication and collaboration skills. Additi...

This role is responsible for managing the client expectations. Strategize with various stakeholders to meet customer requirements. KEY RESPONSIBILITIES Data Science: Develop machine learning models to support recommendation systems and NLP projects; provide actionable insights for product and service optimization Data Engineering: Build and maintain scalable ETL pipelines, optimize data storage solutions (data lakes, columnar formats), and ensure data accuracy for analytics Data Analysis and Insight Generation: Skilled in analyzing complex datasets to uncover trends and patterns; generate and present insights that drive strategic decisions and enhance client services Stakeholder Collaboratio...

This role is responsible for managing the client expectations. Strategize with various stakeholders to meet customer requirements. KEY RESPONSIBILITIES Data Science: Develop machine learning models to support recommendation systems and NLP projects; provide actionable insights for product and service optimization Data Engineering: Build and maintain scalable ETL pipelines, optimize data storage solutions (data lakes, columnar formats), and ensure data accuracy for analytics Data Analysis and Insight Generation: Skilled in analyzing complex datasets to uncover trends and patterns; generate and present insights that drive strategic decisions and enhance client services Stakeholder Collaboratio...

3+ years production experience with Python (FastAPI) and Java enterprise applications LangChain/LangGraph for AI agent development Production Kubernetes (EKS) deployment and management experience preferably Elasticsearch

GenAI: Experience with AI and Machine Learning algorithms. Familiarity with AI platforms and understanding of their capabilities and limitations. Experience with Natural Language Processing (NLP). Understanding of RAG, neural networks, and other AI/ML concepts. Ability to design and implement AI models. Experience with AI/ML frameworks like TensorFlow, PyTorch, etc. General Skills: Strong problem-solving skills. Excellent communication and teamwork skills. Ability to work in a fast-paced, dynamic environment. Strong project management and organizational skills. Ability to clearly and effectively present complex concepts to non-technical stakeholders.

Hi Job Seekers We have openings for Data Science, Looking for Immediate Joiners Mail ID - mallem.mounika@spsoftglobal.com Description: JOB RESPONSIBILITY • Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. • Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. • Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. • Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML ...

Role & responsibilities Dotnet Fullstack.net core,web api- Candidate should have strong Fullstack Experience and Azure Services (Can look for 2 yrs) like Azure AI Search, Azure Cognitive Search, Azure Open AI. This requirement is for Gen AI Project Must Have 3+ years of hand-on experience with .Net Web API development. 3+ years of experience with .Net Core development 3+ year of experience with Azure cloud development. Strong hands-on exposure to various Azure services 2+ Years of Angular/React web-UI development experience. 2+ years of hands-on experience with JavaScript, HTML, and CSS Good to Have Knowledge of Generative AI Experience: 4-6 years Work location: Hyderabad Shift Timings: 11 A...

Note - This is onsite job role for - Pune only. Senior LLM Engineer GenAI / ML (Python, Langchain) Full Time Location: India Overall Experience: 5- 12 Years Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware so...

Note: Please apply only IMMEDIATE JOINERS or max 15-20 Days. Location: Remote Timings: 6PM -2PM IST We are looking for a Senior Generative AI Engineer who will be responsible for developing, fine-tuning, and deploying Generative AI solutions tailored to business needs. This role requires hands-on expertise in Gen AI development, a strong understanding of Azure, and the flexibility to adapt to evolving AI technologies. This role requires a blend of technical expertise, business acumen, and adaptability, ensuring that Generative AI solutions deliver real impact while staying aligned with evolving business needs. Key Responsibilities: Develop and deploy Generative AI solutions using OpenAI, Hug...

Hi, (On the Spot Offer) We are looking for suitable Candidates for Face to Face Drive for a Tier A Company on Saturday i.e. 23rd Aug 2025 in Bengaluru Location for the role of Gen AI Developer. Only Interested Candidate revert their Resume on Kanishk.mittal@thehrsolution.in. Face to Face Interview Direct Pay role on the spot selection and Joining Exp Range- 4 to 12Years Locations- Bengaluru, India JD - Gen AI Engineer/Developer Role Overview: We are seeking a skilled OpenAI Developer to join our dynamic team. The ideal candidate will have a robust understanding of AI and machine learning, with particular expertise in integrating OpenAI models with Microsoft's Power Platform (including Power ...

Position : AI/ML (Gen AI) Experience : 5+ years of experience in AI/ML Work Mode : Office Work Location : Bangalore, Pune, Interview Mode : 1st round Virtual | 2nd round F2F at Apexon About Apexon: Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, health...

Key Skills: Strong hands-on experience Full Stack development Java microservices and Python. Working knowledge to GenAI, Prompt Engineering and Finetuning. Agentic workflow and RAG. Python async io, Python FastAPI, Python inference servers. Docker and Kubernetes Strong systems design experience with DS/ Algo Knowledge of Spring AI is a big plus Hands-on Java, Multi-threading Concurrency and Performance Tuning approaches. Proven experience on building highly scalable Java Microservices Spring Boot/FastAPI, cloud native architectures and Kubernetes based architectures Led atleast one large scale project to delivery, managing state in high scale applications. Strong cloud experience AWS/ GCP/ A...