282 Genai Jobs - Page 9

Design, develop, and deploy AI/ML models using Python and Scikit-learn. Implement NLP techniques to analyze and interpret complex datasets. Utilize general AI methodologies to enhance model performance and capabilities. Leverage Azure AI services to build scalable and efficient AI solutions. Develop and integrate APIs to enable seamless data exchange between systems. Containerize AI/ML models using Docker for consistent deployment environments. Manage the end-to-end deployment process of AI/ML applications. Conduct basic testing of AI/ML applications to ensure quality and reliability. Develop web applications and services using Flask or Django frameworks. Communicate effectively with team members and stakeholders to align on project goals. Collaborate with a global team to contribute to and drive projects forward. Work independently on assignments, taking ownership of tasks and deliverables.

Candidate must be experienced to fine tune / Optimize the open-source models like whisper, to run on mobile platforms (which have limited memory and CPU/GPU), without much guidance / supervision. Looking at people who have already tuned Gen AI models for a specific use case.

Architecture & Design - Cloud and GenAI, GCP, Machine Learning(ML) GenAI (GCP Vertex AI) RAGAS Testing Python, REST API development (Flask), Databases . Mandatory Skill - Must Have - GenAI + ML + Python + Flask + Cloud.

Design, develop, and deploy AI/ML models using Python and Scikit-learn. Implement NLP techniques to analyze and interpret complex datasets. Utilize general AI methodologies to enhance model performance and capabilities. Leverage Azure AI services to build scalable and efficient AI solutions. Develop and integrate APIs to enable seamless data exchange between systems. Containerize AI/ML models using Docker for consistent deployment environments. Manage the end-to-end deployment process of AI/ML applications. Conduct basic testing of AI/ML applications to ensure quality and reliability. Develop web applications and services using Flask or Django frameworks. Communicate effectively with team members and stakeholders to align on project goals. Collaborate with a global team to contribute to and drive projects forward. Work independently on assignments, taking ownership of tasks and deliverables.

7-12 yrs of experience in IT Must have 3-4 yrs of experience in Data Science, Python and NLP Must have 1-2 yrs of experience in GenAI -with good hands-on experience in Text data analysis, Prompt Engineering, Cloud Vector DB ,Azure OpenAI models, developing and deploying Generative AI applications in production. Must have experience in atleast one end to end implementation of an Enterprise GenAI project. Must have 1-2 yrs of experience in API development and deployment (FastAPI, Docker containerization, Azure App service..) Must have 1-2 years of experience in designing overall Solution architecture for GenAI/AI projects. Mandatory Skill - Must Have - GenAI + NLP + Python + Azure.

Deep Learning, Generative AI, Computer Vision methodologies and technologies using Tensorflow, PyTorch, Langchain, Open AI, Llama, Gemini, Python, LLM, RAG. Used SQL, Pandas, Spark, for Data Analysis and Machine Learning Model Development etc.

• 6-7 yrs of experience in IT • Must have 2+ yrs of experience in Data Science, Natural language processing(NLP) and Python • Must Have 1-2 yrs of experience in GenAI -with good hands-on experience in Text data analysis, Prompt Engineering, Cloud Vector DB ,Azure OpenAI models, developing and deploying Generative AI applications in production. • Must have experience in atleast one end to end implementation of an Enterprise GenAI project. Mandatory Skill - Must Have - GenAI + NLP + Python + Azure.

4+ years of experience in AI/ML, with strong understanding of machine learning, deep learning and NLP concepts. Strong programming skills in Python and experience with frameworks like flask/Django Design, develop, and deploy generative AI-based solutions using cutting edge technologies and methodologies. Hands on experience with building and deploying chatbots using language models. Hands on experience with LLMs (Large language models) and advanced techniques such as RAG (Retreival-Augumented Generation), Fine tuning, reasoning, etc. Experience with Langchain and opensource Gen AI LLMs e.g., Llama and Dolly Knowledge of prompt engineering techniques Familiarity with Vector databases like Pinecode Knowledge of natural language processing techniques and libraries such as NLTK, Spacy. Knowledge of Docker containers Experience with any cloud (AWS/Azure/GCP Mandatory skills are NLP + Gen AI + Python

Role & responsibilities 1. Knowledge of different Ai/GenAi technologies. 2. be able to explain common used architectures used in AI/Gen AI solutioning. 3. be aware of the trends in the AI and Gen AI space. 4. knowledge of 1 or more verticals is good to have not a must. 5. be able to hold a group discussion 6. ability to do presentations and demos.

Key Responsibilities: • Develop AI Services using Gen AI models or other AI technologies • Building and deploying machine learning models: Creating algorithms and models that can learn from data. • Optimizing model performance: Fine-tuning models to improve accuracy and efficiency. • Integrating models into applications: Ensuring models work seamlessly within software systems. • Monitoring and maintaining models: Keeping models up-to-date and functioning correctly. Skills Required: • Programming: Proficiency in languages like Python, Java, and C++. • Machine Learning Frameworks: Knowledge of TensorFlow, PyTorch, and other ML libraries. • Software Engineering: Understanding of software development principles and version control. • GenAI • LLM Tools • Azure or Google Platform Mandatory Skill - Must Have - GenAI + LLM + Azure/GCP.

Skills & Experience AI Ops Skills: • 10+ Years experience in IT across designing, engineering, implementation and Presales (minimum 3 years in Presales) of AI Ops use cases across IT Operations Management & IT Service Management (Experience in ITOM toolsets like Event Correlation, Log Analytics, Application Performance Management, IT Orchestration, etc) • Strong prior experience on development and or/implementation of IT Operations Management tools like - o IT Service Management Tools like ServiceNow, BMC Remedy, Microfocus SMAX, etc. o Application Operations Management tools like Appdynamics, Dynatrace, New Relic. o IT Operations Automation tools like ServiceNow Orchestrator, BMC Atrium Orchestrator, HPE Operations Orchestrator o Observability tools like Elastic, OpsRamp, Sciencelogic. • Strong experience in Implementation or Presales of AI Ops use cases using any of the Industry enterprise AIOps solutions such as Moogsoft, ServiceNow, Opsramp, Sciencelogic, Big Panda, etc. • Strong understanding and experience on Machine Learning algorithms for various AIOPS use cases such as classification, clustering, and anomaly detections. • Preferred ITIL certification • Strong understanding of Cloud & infrastructure technologies such as virtualization, hyper converged infrastructure, as-a-service, Software defined networks, servers, and storages. AI & IA Skills: • Strong understanding of Generative AI concepts including LLM, embeddings, word to vectors, etc. • Working knowledge and understanding on development of AI/ML models based on a widely used variety of ML algorithms like classifier algorithms (Linear, Logistics, decision tree, Nave Bayes, Support Vector, KNN, Random forest), clustering / outlier algorithms (K-means, mean-shitfing, DBSCAN, GMM, Hierarchical Clustering, etc), neural networks (ANN, RNN, etc.) • Development experience on ML/NLP algorithms for IT Operations use cases. • Strong understanding and experience of IA including RPA, OCR, etc. Presales Experience: • Experience driving Presales for AI/AIOps in large deals for global customers for minimum 3 years. • Strong Presentation skills and customer handling skills • Strong experience in designing AI/AIOps Proposals, scope of works, effort estimates, Automation potential, etc for large deals in IT sourcing. • Strong experience and skills in driving customer discussions, multiple stake holder discussions. Mandatory Skill - Must Have - AIOPS + ITOM + ITSM + GenAI Good to have - ServiceNow Orchestrator/ BMC Atrium Orchestrator/ HPE Operations Orchestrator

Skills & Experience AI Ops Skills: • 10+ Years experience in IT across designing, engineering, implementation and Presales (minimum 3 years in Presales) of AI Ops use cases across IT Operations Management & IT Service Management (Experience in ITOM toolsets like Event Correlation, Log Analytics, Application Performance Management, IT Orchestration, etc) • Strong prior experience on development and or/implementation of IT Operations Management tools like - o IT Service Management Tools like ServiceNow, BMC Remedy, Microfocus SMAX, etc. o Application Operations Management tools like Appdynamics, Dynatrace, New Relic. o IT Operations Automation tools like ServiceNow Orchestrator, BMC Atrium Orchestrator, HPE Operations Orchestrator o Observability tools like Elastic, OpsRamp, Sciencelogic. • Strong experience in Implementation or Presales of AI Ops use cases using any of the Industry enterprise AIOps solutions such as Moogsoft, ServiceNow, Opsramp, Sciencelogic, Big Panda, etc. • Strong understanding and experience on Machine Learning algorithms for various AIOPS use cases such as classification, clustering, and anomaly detections. • Preferred ITIL certification • Strong understanding of Cloud & infrastructure technologies such as virtualization, hyper converged infrastructure, as-a-service, Software defined networks, servers, and storages. • AI & IA Skills: • Strong understanding of Generative AI concepts including LLM, embeddings, word to vectors, etc. • Working knowledge and understanding on development of AI/ML models based on a widely used variety of ML algorithms like classifier algorithms (Linear, Logistics, decision tree, Nave Bayes, Support Vector, KNN, Random forest), clustering / outlier algorithms (K-means, mean-shitfing, DBSCAN, GMM, Hierarchical Clustering, etc), neural networks (ANN, RNN, etc.) • Development experience on ML/NLP algorithms for IT Operations use cases. • Strong understanding and experience of IA including RPA, OCR, etc. Presales Experience: • Experience driving Presales for AI/AIOps in large deals for global customers for minimum 3 years. • Strong Presentation skills and customer handling skills • Strong experience in designing AI/AIOps Proposals, scope of works, effort estimates, Automation potential, etc for large deals in IT sourcing. • Strong experience and skills in driving customer discussions, multiple stake holder discussions. Mandatory Skill - Must Have - AIOPS + ITOM + ITSM + GenAI Good to have - ServiceNow Orchestrator/ BMC Atrium Orchestrator/ HPE Operations Orchestrator .

Experience in designing AI solutions to address different business challenges/problems spanning multiple industries (Telecom, BFSI, Retail, HLS, MFG, Hi-Tech,etc.) Hands-on experience with Python programming Understanding of different stages of ML life cycle and hands on experience in either development or deployment and fine-tuning of ML models Drive discovery discussions with the customers by asking right questions that can lead to identification of AI infusion opportunities Create and present AI infusion roadmap to customers Band: P1 Competency: AI

Experience in designing AI solutions to address different business challenges/problems spanning multiple industries (Telecom, BFSI, Retail, HLS, MFG, Hi-Tech,etc.) Hands-on experience with Python programming Understanding of different stages of ML life cycle and hands on experience in either development or deployment and fine-tuning of ML models Drive discovery discussions with the customers by asking right questions that can lead to identification of AI infusion opportunities Create and present AI infusion roadmap to customers Band: P1 Competency: AI

Role & responsibilities We are seeking a highly skilled and motivated candidate with expertise in programming, problem-solving, and Machine Learning (ML) and Artificial Intelligence (AI). The ideal candidate will have strong programming skills, with a particular focus on Python, and experience using key data manipulation libraries such as Pandas and NumPy. Candidate must be experienced to fine tune / Optimize the open-source models like whisper, to run on mobile platforms (which have limited memory and CPU/GPU), without much guidance / supervision. Looking at people who have already tuned Gen AI models for a specific use case.' Candidate should have a solid background in Machine Learning, particularly in classification and retrieval tasks, as well as hands-on experience with Large Language Models (LLMs), including fine-tuning for specific use cases, Retrieval-Augmented Generation (RAG), foundation models APIs, and Prompt Engineering. Familiarity with Faiss (Facebook AI Similarity Search) for efficient nearest-neighbor search in retrieval tasks is highly desirable. A strong understanding of Natural Language Processing (NLP) is preferred, with experience in audio/voice manipulation tasks, specifically text-to-speech (TTS) and speech-to-text (STT). Familiarity with the Hugging Face Transformers and Datasets libraries is highly desirable. Proficiency in using tools such as Hydra for configuration management and Weights & Biases for tracking experiments is essential. In addition to technical expertise, the ideal candidate will have experience with Git and GitHub for version control and a proven ability to collaborate effectively in a team environment, particularly when working on shared codebases and remote projects. Strong data management and manipulation skills are crucial, as is experience working on remote servers to develop and deploy machine learning models.

GENAI developers, with Prompt, Azure GPT 4o, Azure SQL routing and query mapping expertise with document intelligence, chunking, AI search capabilities and or semantic logic, graph generation from insights text, capabilities Role Requirements: Prototype design : Creating prototypes to test if ideas can be successful products Troubleshooting and problem solving : Using engineering principles to create innovative solutions Product testing and analysis : Developing and testing products, including technical aspects and complications Discovery & Emerging Tech : Conducting research to provide insights into the future of commerce, creating discovery concepts and composing thought leadership Platforms & Services: Building and managing the architecture and tools that support the design and development of new products and solutions New Product Development : De-risking and delivering new products and solutions in a fast, proven and efficient way, in collaboration with other specialized teams. Generating ideas, preparing simulations, Designing circuits and control systems, drawing product sketches, Determining product dimensions, Creating mockups of proposed products The ability to work in a team, Great attention to detail, Time management skills, Organizational skills, Leadership skills, Creativity skills

GENAI developers, with Prompt, Azure GPT 4o, Azure SQL routing and query mapping expertise with document intelligence, chunking, AI search capabilities ,and or semantic logic, graph generation from insights text, capabilities Role Requirements: Prototype design : Creating prototypes to test if ideas can be successful products Troubleshooting and problem solving : Using engineering principles to create innovative solutions Product testing and analysis : Developing and testing products, including technical aspects and complications Discovery & Emerging Tech : Conducting research to provide insights into the future of commerce, creating discovery concepts and composing thought leadership Platforms & Services: Building and managing the architecture and tools that support the design and development of new products and solutions New Product Development: De-risking and delivering new products and solutions in a fast, proven and efficient way, in collaboration with other specialized teams. Generating ideas, preparing simulations, Designing circuits and control systems, drawing product sketches, Determining product dimensions, Creating mockups of proposed products The ability to work in a team, Great attention to detail, Time management skills, Organizational skills, Leadership skills, Creativity skills

GENAI developers, with Prompt, Azure GPT 4o, Azure SQL routing and query mapping expertise with document intelligence, chunking, AI search capabilities and or semantic logic, graph generation from insights text, capabilities Role Requirements: Prototype design : Creating prototypes to test if ideas can be successful products Troubleshooting and problem solving : Using engineering principles to create innovative solutions Product testing and analysis : Developing and testing products, including technical aspects and complications Discovery & Emerging Tech : Conducting research to provide insights into the future of commerce, creating discovery concepts and composing thought leadership Platforms & Services: Building and managing the architecture and tools that support the design and development of new products and solutions New Product Development : De-risking and delivering new products and solutions in a fast, proven and efficient way, in collaboration with other specialized teams. Generating ideas, preparing simulations, Designing circuits and control systems, drawing product sketches, Determining product dimensions, Creating mockups of proposed products The ability to work in a team, Great attention to detail, Time management skills, Organizational skills, Leadership skills, Creativity skills

GENAI developers, with Prompt, Azure GPT 4o, Azure SQL routing and query mapping expertise with document intelligence, chunking, AI search capabilities and or semantic logic, graph generation from insights text, capabilities Role Requirements : Prototype design : Creating prototypes to test if ideas can be successful products Troubleshooting and problem solving: Using engineering principles to create innovative solutions Product testing and analysis : Developing and testing products, including technical aspects and complications Discovery & Emerging Tech: Conducting research to provide insights into the future of commerce, creating discovery concepts and composing thought leadership Platforms & Services : Building and managing the architecture and tools that support the design and development of new products and solutions New Product Development : De-risking and delivering new products and solutions in a fast, proven and efficient way, in collaboration with other specialized teams. Generating ideas, preparing simulations, Designing circuits and control systems, drawing product sketches, Determining product dimensions, Creating mockups of proposed products The ability to work in a team, Great attention to detail, Time management skills, Organizational skills, Leadership skills, Creativity skills

Experience in Azure OpenAI model and Azure stack Strong experience with prompt engineering and using large language models/generative AI services Passion for the engineering process required to train ML/AI models at scale in the cloud Strong knowledge of Python and data science libraries Strong knowledge of microservices frameworks and asynchronous processing libraries Experience implementing machine learning and deep learning solutions Strong data analysis skills Experience delivering NLP/NLU/NLQ solutions Experience building enterprise search solutions Nice to have: Good understanding of MLOps process, preferably using Azure ML service.

The Team: As a Software Developer specializing in the Higher Logic Vanilla platform, you will be responsible for customizing and building new features to enhance our community engagement solutions. You will collaborate with various teams to deliver high-quality, scalable software that meets the specific needs of our clients. Key Responsibilities: Customize and extend the Higher Logic Vanilla platform to meet client requirements. Develop, test, and deploy new features and enhancements. Collaborate with product managers, designers, and other developers to ensure seamless integration and functionality. Troubleshoot and resolve issues related to the platform. Participate in code reviews and contribute to best practices for software development. Stay updated with the latest trends and technologies in community engagement and software development. Basic Qualifications: Bachelor's /Masters Degree in Computer Science, Information Systems or equivalent. A minimum of 4+ years of experience in software engineering & Architecture. Proven experience in software development, particularly with the Higher Logic Vanilla platform. Strong proficiency in JavaScript, HTML, and CSS. Experience with RESTful APIs and asynchronous request handling. Familiarity with version control systems, such as Git. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a remote team. Experience with other community engagement platforms. Knowledge of back-end technologies such as Node.js or PHP or C#. Nice to have GenAI, React JS, Java, Spring boot, Knockout JS, requireJS, Node.js, Lodash, Typescript, VSTest/ MSTest/ nUnit. Preferred Qualifications: Proficient with software development lifecycle (SDLC) methodologies like SAFe, Agile, Test- driven development. Excellent problem solving, analytical and technical troubleshooting skills. Knowledge of system architecture, design patterns & ability to work in layered architecture: Presentation, Service, Business & Data. Able to work well individually and with a team. Good work ethic, self-starter, and results oriented. Excellent communication skills are essential, with strong verbal and writing proficiencies.

Role & responsibilities Language: Python, SQL, Javascript LLMs: Knowledge of multiple LLMs (Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama). Experience in model fine-tuning and optimization LLMOps: Experience on LLMOps (ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI); the candidate should have experience in some of these Cloud: AWS/Azure/GCP; the candidate should have working knowledge on some of these (certification would be preferred) DB: (DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery); the candidate should have experience on some of these Dev Ops: (Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus); the candidate should have knowledge on some of these. Band: U3 Competency : AI

We are hiring for Lead Data Scientist (GENAI)-Immediate Joiners_Chennai Location Interested Candidates can share CV at umaparvathyc@hexaware.com MUST HAVE: 1.5+ years experience-Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. 4.5+years -in machine learning, deep Learning architecture, NLP, and OCR. Primary Skills Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Hands-on experience with Deep Learning architecture, NLP, and OCR. Python Fast API experience, SDA based implementations for all the APIs Architect should be hand-on to review the code developed by the developers Should be able to take and work on spike stories assigned to him/her.

Responsibilities & Impact: In this role, you will significantly contribute to the data teams objectives by supporting the collection, analysis, and maintenance of datasets. Your work will directly influence the accuracy, completeness, and timeliness of the data provided, driving strategic decision-making. You will collaborate with team members to execute data quality initiatives and lead ad-hoc projects aimed at enhancing our data offerings. This role provides an opportunity to further develop your analytical and leadership skills while working with motivated individuals to generate actionable insights that support operational excellence. Responsibilities: Lead Data Collection Efforts: Gather and verify extensive data on market participants, utilizingpublicly available sources including but not limited towebsites, news articles, and various public registries & filings to provideaccurate insights and ensure thorough data coverage. Implement Data Quality Standards: Oversee and implement rigorous data cleansing processes to ensure high accuracy and consistency in datasets, utilizing best practices and methodologies. Conduct Advanced Reporting and Analysis: Perform in-depth reporting and trend analysis, generating comprehensive reports that provide actionable insights for strategic decision-making. Drive Automation and Efficiency: Spearhead automation initiatives for data collection and reporting tasks using SQL and Lean methodologies to optimize processes and enhance overall efficiency. Utilize Advanced Analytical Tools: Apply advanced analytical tools, including GenAI, for exploratory data analysis to extract deeper insights and facilitate informed decision-making. Ensure Compliance and Documentation: Maintain thorough documentation of data collection processes and compliance, contributing to continuous improvement initiatives and best practices. Achieve Performance Targets: Consistently deliver on individual and team targets with a strong emphasis on quality assurance and operational excellence. Contribute to Strategic Enhancements: Actively contribute to the development of new data collection methods and product enhancements to improve strategies based on market needs. Troubleshoot Complex Issues: Address and resolve complex data-related issues, provide support to team members, and foster a collaborative problem-solving environment. Lead Workflow Improvement Initiatives: Drive initiatives aimed at refining workflows and enhancing overall team performance through innovative process improvements. Preferred Qualification/What We Are Looking For: Masters degree in finance, economics, data science, or related fields. 1-2+ years of experience in data projects, including validation and cleansing techniques would be preferred. Strong analytical mindset with attention to detail and advanced quantitative skills. Proficiency in SQL and Excel; familiarity with BI tools (Tableau/Power BI) is essential. In-depth understanding of compliance in data collection and reporting. Exposure to Lean principles or automation tools is essential. Willingness to learn and adapt to modern technologies, including GenAI. Excellent communication skills with the ability to articulate complex data insights effectively. Strong time-management and multi-tasking skills to handle various business facets. Proficient in secondary research and online thematic research. Certification and experience in MS Office (Excel, Word, PowerPoint). Initiative and resourcefulness in problem-solving. Adaptable to flexible shifts and team environments. Strong project management skills for ad-hoc projects. Deep interest in market trends with the ability to analyze market dynamics. Strong collaboration and interpersonal skills to build relationships with stakeholders. Proactive in enhancing technical skills relevant to data analysis and reporting. Ability to share constructive feedback and foster a culture of continuous improvement.

Role & responsibilities : Gen AI Developer Preferred candidate profile :- 3+ Years Location: Hyderabad Job Overview: Design, implement, and deploy Generative AI models (e.g., GPT, GAN) using Python. Hands-on knowledge in Langchain and other Genai tools to develop prompt. Develop and optimize machine learning and deep learning algorithms for generative tasks such as text generation, image creation, video synthesis, etc. Work closely with data engineers, and other teams to integrate AI solutions into production systems. Preprocess and analyze large datasets to train AI models. Tune and optimize model performance and ensure scalability of the deployed solutions. knowledge in OCR and other machine learning skills Perks and benefits :- Long term development project, Location:- Hyderabad - Work from office