97 Llm Finetuning Jobs

As a Gen AI Architect at Techvantage Analytics, you will play a crucial role in designing and implementing cutting-edge AI solutions leveraging the latest advancements in artificial intelligence and data science. Your responsibilities will include developing robust architectures for generative AI solutions, building and fine-tuning advanced generative models, integrating modern AI frameworks, implementing data strategies, overseeing the deployment of scalable AI systems, ensuring ethical compliance, staying updated with the latest AI trends, collaborating with cross-functional teams, mentoring junior AI practitioners, and monitoring model performance. Key Responsibilities: - Develop robust a...

As a Senior AI Staff Developer at Thane (Maharashtra India), you will be responsible for designing, training, and deploying advanced AI/ML models across various domains such as computer vision, natural language processing, and generative AI. Your expertise in Python and PyTorch/TensorFlow is crucial, along with experience in MLOps, cloud platforms (AWS/GCP), and edge AI optimization. Key Responsibilities: - Build and optimize intelligent models for real-time deployment on AR/VR smart glasses and immersive systems. - Collaborate with hardware, design, and product teams to seamlessly integrate AI into user experiences. - Shape the intelligence, scalability, and impact of next-generation produc...

Role Overview: Cowbell is revolutionizing the cyber insurance industry by leveraging technology and data to offer small and medium-sized enterprises (SMEs) advanced warning of cyber risk exposures along with adaptable cyber insurance coverage. With a focus on adaptive insurance, Cowbell continuously assesses policyholders' cyber risk exposures and underwrites policies in less than 5 minutes using their unique AI-based underwriting platform powered by Cowbell Factors. They have experienced rapid growth since their founding in 2019, operating in the U.S., Canada, U.K., and India, and recently received a significant investment from Zurich Insurance. Key Responsibilities: - Design and implement ...

As an AI Audio Developer, you will be responsible for independently building AI/DL models from scratch with a focus on NLP & Audio and ML/DL. Your role will involve coding relevant research papers, training, fine-tuning, and optimizing different flavors of transformer models. **Key Responsibilities:** - Develop AI/DL models independently - Code relevant research papers - Train, fine-tune, and optimize transformer models - Work with ASR frameworks like Kaldi, DeepSpeech, or Wav2Vec - Integrate acoustic models and language models - Utilize pre-trained models such as Wav2Vec 2.0, HuBERT, or Whisper - Prepare speech corpora and datasets for ASR training and evaluation - Optimize models for real-...

Job Description: As a GenAI Solutions Architect, you will partner closely with the sales team to design and implement custom GenAI solutions that meet client requirements. Your primary responsibilities will include: - Architecting custom GenAI solutions using RAG (Retrieval-Augmented Generation) architectures - Implementing AI workflows with Large Language Models (LLMs) to address complex business challenges - Translating technical capabilities into compelling client presentations and proposals - Guiding end-to-end solution development from concept to deployment Qualifications Required: To be successful in this role, you should possess the following qualifications: - Deep expertise in GenAI ...

As a Data Architect with Generative AI expertise, your role involves designing and implementing robust data architectures to support AI and machine learning workloads, specifically Generative AI applications. Your key responsibilities include: - Developing and optimizing data pipelines for training, validating, and deploying AI models efficiently and securely. - Integrating AI frameworks into data platforms to ensure scalability, low latency, and high throughput. - Collaborating with data scientists, AI engineers, and stakeholders to align data strategies with business goals. - Leading initiatives to ensure data governance, security, and compliance standards (e.g., GDPR, CCPA) are met in AI-...

Role Overview: As a Senior Analyst / Data Scientist specializing in Generative AI and NLP at Tiger Analytics, you will be at the forefront of AI innovation, designing and deploying sophisticated models to solve complex business problems. Your role will involve working closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Key Responsibilities: - **Generative AI & NLP Development:** Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for clients....

As a member of the team at DigitalX, your role involves leading and guiding teams and team captains to effectively plan and execute tasks. You will be responsible for fostering a POD culture that values experimentation and ownership. Collaboration and coordination with employees across all levels will be crucial to prioritize and align POD activities and deliverables. Your aim is to create a unified team within the POD, ensuring everyone works together towards their objectives. Additionally, you will facilitate meetings for discussions, including brainstorming, problem identification, and solution development while identifying and addressing any risks or issues related to the POD. Adhering t...

Location: - Pune, Mumbai, Bangalore, Hyderabad, Chennai, Gurgaon,Mohali Must have skills: Python Programming: Proficiency in Python, Working with libraries like TensorFlow, PyTorch,Transformers,NLTK,Pandas,sklearn, and other related libraries used in NLP tasks and fine tuning language models. Experience with building comprehensive python modules for NLP tasks like tokenization, word embeddings,classifications etc Proficiency in data preprocessing techniques such as text cleaning, tokenization, normalization,handling of special characters is essential for preparing data for fine tuning language models. Knowledge of machine learning concepts like neural networks, optimization algorithms, model...

Location: - Pune, Mumbai, Bangalore, Hyderabad, Chennai, Gurgaon,Mohali Must have skills: Python Programming: Proficiency in Python, Working with libraries like TensorFlow, PyTorch,Transformers,NLTK,Pandas,sklearn, and other related libraries used in NLP tasks and fine tuning language models. Experience with building comprehensive python modules for NLP tasks like tokenization, word embeddings,classifications etc Proficiency in data preprocessing techniques such as text cleaning, tokenization, normalization,handling of special characters is essential for preparing data for fine tuning language models. Knowledge of machine learning concepts like neural networks, optimization algorithms, model...

Location: - Pune, Mumbai, Bangalore, Hyderabad, Chennai, Gurgaon,Mohali Must have skills: Python Programming: Proficiency in Python, Working with libraries like TensorFlow, PyTorch,Transformers,NLTK,Pandas,sklearn, and other related libraries used in NLP tasks and fine tuning language models. Experience with building comprehensive python modules for NLP tasks like tokenization, word embeddings,classifications etc Proficiency in data preprocessing techniques such as text cleaning, tokenization, normalization,handling of special characters is essential for preparing data for fine tuning language models. Knowledge of machine learning concepts like neural networks, optimization algorithms, model...

As an AI Engineer specializing in Speech-to-Text and Text Generation, your role will involve tackling a Conversational AI challenge for a client in EMEA. The project's goal is to transcribe conversations and leverage generative AI-powered text analytics to enhance engagement strategies and decision-making processes. Your responsibilities will include: - Developing Conversational AI & Call Transcription solutions - Creating NLP & Generative AI Applications - Performing Sentiment Analysis & Decision Support tasks - Handling AI Deployment & Scalability aspects - Working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools Key technical skill...

As an experienced Lead Data Scientist, you bring a minimum of 8 years of professional experience, with at least 6 years specifically in a data science role. Your expertise spans statistical modeling, machine learning, deep learning, and GenAI. Proficiency in Python is a must, along with hands-on experience in optimizing code for performance. Your strengths lie in data preprocessing, feature engineering, data visualization, hyperparameter tuning, and a solid understanding of database concepts, particularly when dealing with large datasets. You have a track record of deploying and scaling machine learning models in production environments, complemented by familiarity with machine learning oper...

Role Overview: As a Data Scientist specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), you will play a crucial role in designing, fine-tuning, and deploying cutting-edge open-source and API-based LLMs to address real-world challenges. Your primary focus will be on creating robust GenAI pipelines, innovative internal tools, and engaging client-facing applications. You will have the exciting opportunity to work at the forefront of AI technology, contributing to the advancement of intelligent systems through the utilization of Retrieval-Augmented Generation (RAG) frameworks, vector databases, and real-time inference APIs. Key Responsibilities: - Fine-tuning and o...

As a Senior Data Scientist at AuxoAI, you will be responsible for designing, deploying, and scaling production-grade ML systems. Your expertise in AI, machine learning engineering (MLE), and generative AI will be crucial in this role. You will have the opportunity to work on large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This position is perfect for someone who enjoys combining cutting-edge research with production rigor and is passionate about mentoring while creating impactful AI applications. Your key responsibilities will include: - Owning the full ML lifecycle: from model design to training, evaluation, and deployment - Designing production-ready ML pipe...

As an AI/ML Full Stack Engineer at this company, your role primarily involves implementing end-to-end, AI-powered solutions. Here is a breakdown of your key responsibilities: - Building & Integrating AI Solutions: - Developing, training, and maintaining machine learning models such as NLP and recommendation engines for personalized product recommendations and conversational interfaces. - Implementing scalable pipelines to process and analyze large datasets including product data, user interactions, and logs. - Full Stack Development: - Designing REST or GraphQL APIs to enable real-time conversational interactions. - Creating frontend components using React, Vue.js, or similar technologies to...

As a Machine Learning Engineer at our company, you will play a crucial role in solving complex problems and assisting stakeholders in making data-driven decisions by leveraging quantitative methods, particularly machine learning. Your primary responsibilities will involve synthesizing a large volume of information and extracting crucial signals from data in a programmatic manner. Here's what you can expect in this role: - Architect and train CNN/ViT models for tasks such as classification, detection, segmentation, and OCR. - Build and optimize RNN/LSTM/GRU models for sequence learning, speech, or time-series forecasting. - Research and implement transformer-based architectures that bridge vi...

As a Senior Data Scientist at our client's company, you will be responsible for leading the design, deployment, and scaling of production-grade ML systems with a focus on AI, machine learning engineering (MLE), and generative AI. Your role will involve working on large language model (LLM)-based pipelines, AI copilots, and agentic workflows. You will be expected to balance cutting-edge research with production rigor and mentor team members while building impact-first AI applications. **Responsibilities:** - Own the full ML lifecycle, including model design, training, evaluation, and deployment - Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection - Fine-...

Role Overview: You will be responsible for applying your expertise in ML & AI including classical ML, deep learning, generative AI, and agentic AI to develop innovative solutions. Your strong skills in Python, SQL, TensorFlow, PyTorch, MLflow, and Kubeflow will be crucial for the successful deployment of ML models. Additionally, you will work on LLM fine-tuning, Retrieval-Augmented Generation (RAG), MCP integration, AI agent architectures, conversational AI, chatbots, voice AI, OCR, computer vision, document intelligence, and automated validation workflows. Your knowledge of deep learning architectures such as CNN, RNN, and Transformers will be utilized for developing advanced AI solutions. ...

Qualcomm India Private Limited is looking for a Hardware Engineer to join their Engineering Group, specifically focusing on Hardware Engineering. As a Qualcomm Hardware Engineer, you will be responsible for planning, designing, optimizing, verifying, and testing electronic systems, circuits, mechanical systems, and equipment to launch cutting-edge products. You will collaborate with cross-functional teams to develop solutions and meet performance requirements. Key Responsibilities: - Design and implement end-to-end data analytics workflows tailored to semiconductor engineering use cases. - Develop, train, and optimize ML models using supervised, unsupervised, and deep learning techniques. - ...

As a Data Scientist specializing in Generative AI and NLP at Tiger Analytics, you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. **Key Responsibilities:** - **Generative AI & NLP Development:** Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportu...

As a Data Scientist at AuxoAI, you will be responsible for designing, deploying, and scaling production-grade ML systems. Your role will involve working on large language model-based pipelines, AI copilots, and agentic workflows. You will have the opportunity to balance cutting-edge research with production rigor and mentor junior team members to build impact-first AI applications. Key Responsibilities: - Own the full ML lifecycle including model design, training, evaluation, and deployment - Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection - Fine-tune large language models (LLMs) and implement retrieval-augmented generation (RAG) pipelines - Build ag...

As a Gen AI Engineer- LLM at Flixstock, your primary responsibility will be to design and fine-tune ChatGPT agents and other LLM models for marketing, sales, and content creation. You will play a crucial role in developing and optimizing AI-driven bots to enhance content generation, customer interaction, and business workflows. **Key Responsibilities:** - Design and fine-tune ChatGPT agents and other LLM models for marketing and sales applications. - Set context and optimize models to meet business-specific content and interaction needs. - Collaborate with teams to integrate LLM-powered bots into marketing strategies and Python-based applications. **Qualifications:** - Strong experience in P...

Role Overview: As an AI/Data Science Senior Analyst at Accenture Marketing + Communications Data & Analytics team, you will be responsible for ideating and developing innovative data science and AI solutions to generate actionable recommendations for clients, talent, and internal marketing teams. You will collaborate with senior marketing stakeholders to understand business needs and lead teams of data scientists and engineers to deliver high value solutions. Your role will involve driving data-driven strategies, developing AI/ML models, translating findings into recommendations, analyzing structured and unstructured data, and ensuring data quality and privacy. Key Responsibilities: - Drive ...

As a Machine Learning & Generative AI Engineer, you will play a crucial role in designing, building, and deploying advanced ML and GenAI solutions. You will have the opportunity to work on cutting-edge AI technologies like LLM fine-tuning, Transformer architectures, Retrieval-Augmented Generation (RAG), and enterprise-scale ML systems. Your innovative thinking and technical expertise will be instrumental in delivering impactful AI solutions aligned with business needs. **Key Responsibilities:** - Design, build, and deploy end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Develop and optimize LLM-based solutions using Transformer arc...