33 Model Finetuning Jobs

You will be responsible for designing, developing, and deploying AI-powered solutions leveraging RAG pipelines and LLMs. Your role will involve working with frameworks like Ollama, LangChain, or similar to build intelligent conversational agents. You will also be required to implement and optimize AI Agent and Agentic Agent architectures for various projects, as well as integrate AI models with APIs, databases, and knowledge bases to build scalable solutions. Collaboration with cross-functional teams to translate business requirements into technical implementations will be an essential part of your responsibilities. Additionally, you will need to write clean, modular, and well-documented Pyt...

You will be joining a Pune-based startup as an AI Research Specialist. Your primary responsibility will involve conducting thorough research on emerging AI models, analyzing their potential integration with our system, and providing expert advice on optimizing model performance. Key Responsibilities: - Monitoring and analyzing new AI models entering the market. - Assessing the applicability of emerging models to our AI agent system. - Providing insights on model architectures, weights, biases, and training methods. - Developing and recommending fine-tuning strategies for optimal performance. - Optimizing model efficiency by determining the minimal necessary layer structure. Required Qualific...

As a Product Manager for Sales AI at Salesforce, your primary responsibility is to lead the development of AI capabilities that support sellers within the Salescloud. You will play a crucial role in defining the product vision, strategy, and roadmap for Sales AI. This includes focusing on various aspects such as Experimentation and Improvements, Prompt tuning, Model fine-tuning, Retrieval Augmented Generation (RAG), Keyword & Vector Search, and No-code model builder experiences. Your impact will be felt throughout the end-to-end product lifecycle, from conceptualization to adoption, ensuring that customer success metrics are met. Key Responsibilities: - Define and own the product vision, str...

As an AI/ML Engineer specializing in Large Language Models (LLMs) and Deep Learning at Brainwave Science, you will be pivotal in the design, development, and deployment of intelligent AI systems. Your role will involve working on cutting-edge projects that span natural language processing, edge AI, and biosignal intelligence, impacting innovations in defence, security, and healthcare applications. You will be responsible for: - Designing, training, fine-tuning, and deploying Large Language Models using frameworks like PyTorch, TensorFlow, or Hugging Face Transformers - Integrating LLMS for local/edge deployment using tools like Ollama, LangChain, LM Studio, or llama.cpp - Building NLP applic...

Role Overview: As an experienced Data Scientist with expertise in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG), your role will involve developing, fine-tuning, and deploying LLMs for various applications. You will also be responsible for implementing RAG-based systems to enhance AI-powered search and retrieval, working with vector databases and embeddings to improve AI responses, and optimizing and deploying AI models using GPU acceleration and cloud services. Additionally, you will preprocess and analyze large-scale structured and unstructured data, collaborate with engineers and domain experts to integrate AI solutions into products, and stay update...

As an AI/ML professional with 5+ years of experience, you should have strong expertise in deep learning techniques including supervised, unsupervised, self-supervised, and reinforcement learning. Additionally, you should be well-versed in Large Language Models such as Transformers, self-attention mechanisms, mixture of experts, and embeddings. Your proven experience in Retrieval Augmented Generation (RAG), vector databases, graph databases, prompt engineering, and AI agent design will be valuable for this role. Key Responsibilities: - Hands-on experience with model fine-tuning and data pre-processing is essential. - Proficiency in Python programming and ML frameworks like PyTorch, TensorFlow...

As a candidate for this position, you will be responsible for working with Large Language Models (LLMs) such as open-source (LLaMA, Mistral, GPT-NeoX) and API-based (OpenAI, Anthropic). Your key responsibilities will include: - Developing and managing multi-agent system architectures for AI-driven applications - Conducting comparative evaluation of LLMs based on quality, speed, cost, and reliability - Designing, testing, and optimizing prompts, context management strategies, and addressing common issues like hallucinations and irrelevant outputs - Understanding model fine-tuning basics and customizing pre-trained models for domain-specific use-cases - Building and integrating backend systems...

As an AI/ML professional with 5+ years of experience, you are expected to have a strong expertise in deep learning encompassing supervised, unsupervised, self-supervised, and reinforcement learning. Additionally, you should be well-versed in Large Language Models including Transformers, self-attention, mixture of experts, and embeddings. Key Responsibilities: - Proven experience in Retrieval Augmented Generation (RAG), vector databases, graph databases, prompt engineering, and AI agent design, orchestration, and optimization. - Hands-on experience required in model fine-tuning, data pre-processing, and Python programming. Proficiency in ML frameworks such as PyTorch, TensorFlow, or equivalen...

As an AI/ML expert with over 5 years of experience, you will be responsible for: - Demonstrating strong expertise in deep learning, including supervised, unsupervised, self-supervised, and reinforcement learning techniques. - Proficiency in working with Large Language Models like Transformers, self-attention, mixture of experts, and embeddings. - Utilizing Retrieval Augmented Generation (RAG), vector databases, graph databases, prompt engineering, and AI agent design for effective solution development. - Hands-on experience in model fine-tuning, data pre-processing, and Python programming using ML frameworks such as PyTorch, TensorFlow, or equivalent. - Working with LangChain, LangGraph, Cre...

Role Overview: You are an experienced AI/ML Engineer with a solid foundation in Machine Learning and Artificial Intelligence, and a minimum of one year of hands-on experience in Generative AI. Your expertise includes proficiency in Python, LLM Models, and emerging techniques such as Retrieval-Augmented Generation (RAG), model fine-tuning, and agentic AI systems. Key Responsibilities: - Design, develop, and deploy AI/ML solutions focusing on generative models and LLMs. - Implement and optimize RAG pipelines for knowledge-aware AI systems. - Fine-tune and customize models for specific domains. - Build and manage agentic AI systems capable of autonomous planning and decision-making. - Collabora...

Role Overview: As a member of the Classical ML+NLP+Gen AI - L4 team at Tredence, you will be involved in tasks such as Model Fine-tuning, Model Pre-training, Named Entity Recognition, Prompt Engineering, Pyspark, Python, Regular expressions, SQL, Supervised ML, Tokenization, Transformer Models, Transformers, Unstructured Data Pre-processing, and Unsupervised ML. Key Responsibilities: - Model Fine-tuning - Model Pre-training - Named Entity Recognition - Prompt Engineering - Working with Pyspark, Python, Regular expressions, SQL - Implementing Supervised ML techniques - Handling Tokenization - Utilizing Transformer Models for data processing - Working with Unstructured Data Pre-processing - Im...

Role Overview: As a Senior Software Engineer at Wells Fargo, you will lead complex technology initiatives with a companywide impact. Setting standards and best practices for large-scale technology solutions will be instrumental in your responsibilities, including designing, coding, testing, debugging, and documenting projects. Key Responsibilities: - Review and analyze complex technology solutions to address tactical and strategic business objectives - Make critical decisions to develop best practices for engineering solutions - Collaborate with technical experts, senior team members, and external industry groups to resolve technical challenges - Lead projects, teams, or mentor peers Qualifi...

Role Overview: As a Python Developer within the Information Technology department, your primary responsibility will be to leverage your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI. You are expected to possess hands-on experience with GPT-4, transformer models, and deep learning frameworks. Your role will involve designing, developing, and maintaining Python applications tailored towards AI/ML and generative AI. Furthermore, you will be responsible for building and refining transformer-based models such as GPT, BERT, and T5 for NLP and generative tasks. Key Responsibilities: - Design, develop, and maintain Python applications focusing on AI/ML and gener...

Role Overview: As a Staff Data Scientist at PhysicsWallah (PW), you will play a pivotal role in driving innovation in Generative AI and advanced Machine Learning (ML) to enhance personalized and scalable learning outcomes for students across Bharat. With your expertise and experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Reinforcement Learning, and model fine-tuning, you will lead the design and development of cutting-edge AI solutions that power intelligent content generation, adaptive learning, and personalized experiences for millions of learners. Key Responsibilities: - Collaborate with cross-functional teams to create next-gen AI solutions...

Role Overview: The Data & Analytics team at the leading financial institution in MENA is responsible for integrating new data sources, creating data models, developing data dictionaries, and building machine learning models for Wholesale Bank. The primary objective is to design and deliver data products that assist squads at Wholesale Bank in achieving business outcomes and generating valuable business insights. Within this job family, there are two roles - Data Analysts and Data Scientists. Both roles involve working with data, writing queries, collaborating with engineering teams to source relevant data, performing data munging, and extracting meaningful insights from the data. Data Analys...

As a potential candidate for this position, you will be responsible for contributing to cutting-edge AI/ML solutions at Goldman Sachs. Here is a breakdown of the qualifications and attributes you should possess: - A Bachelor's, Master's or PhD degree in Computer Science, Machine Learning, Mathematics, or a related field is required. - Preferably 7+ years of AI/ML industry experience for Bachelors/Masters, 4+ years for PhD, with a focus on Language Models. - Strong foundation in machine learning algorithms, including deep learning architectures like transformers, RNNs, CNNs. - Proficiency in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, sciki...

As a Transformation Lead at Capgemini Invent, you will play a key role in driving the organization's journey towards intelligent, scalable, and AI-augmented systems. Your responsibilities will include: - Designing and building secure, scalable applications using Azure services like App Services, Functions, and Azure DevOps. - Implementing GenAI solutions using frameworks such as LangChain, LangGraph, Autogen, crewAI, or OpenAI Agent SDK to orchestrate multi-step reasoning and agent workflows. - Delivering AI-powered solutions for production use cases such as intelligent document processing, automated content generation, enterprise search assistants, and decision-support systems, employing te...

As a Platform Development and Machine Learning expert at Adobe, you will play a crucial role in changing the world through digital experiences by building scalable AI platforms and designing ML pipelines. Your responsibilities will include: - Building scalable AI platforms that are customer-facing and evangelizing the platform with customers and internal stakeholders. - Ensuring platform scalability, reliability, and performance to meet business needs. - Designing ML pipelines for experiment management, model management, feature management, and model retraining. - Implementing A/B testing of models and designing APIs for model inferencing at scale. - Demonstrating proven expertise with MLflo...

As a Data Scientist specializing in Generative AI at Aligned Automation, you will play a crucial role in delivering both business and technical services to our clients. With over 11 years of experience in Artificial Intelligence and Big Data, you will leverage your expertise to assist customers in planning and executing their Generative AI initiatives. Your responsibilities will include engaging with C-level customer roles, creating strategic roadmaps, and collaborating with data scientists to explore current and future ecosystems. To excel in this role, you must possess a deep understanding of Generative AI, including model selection, data preparation, model finetuning, and guardrail implem...

As an AI/ML Engineer at our client's dynamic, venture-backed startup in Bangalore, you will be revolutionizing semiconductor design with cutting-edge AI tools. Founded by serial entrepreneurs with deep industry expertise and over 75 patents, our client empowers chip designers to streamline workflows, boost productivity, and accelerate innovation. Join our world-class team to build intelligent assistants that are truly game-changing for the industry. To excel in this role, you must possess a strong theoretical understanding and practical application of deep learning principles. Proficiency in developing and debugging robust machine learning models using Python and leading ML libraries such as...

You should have a minimum of 2 years of relevant experience in Generative AI models and Natural Language Processing (NLP) techniques, including Retrieval-Augmented Generation (RAG) systems, text generation, and embedding models. Additionally, you should have exposure to Agentic AI concepts, multi-agent systems, and agent development using open-source frameworks like LangGraph and LangChain. Moreover, hands-on experience with modality-specific encoder models for multi-modal AI applications and proficiency in model fine-tuning, prompt engineering, and using both open-source and proprietary LLMs is required. Experience with model quantization, optimization, and conversion techniques for efficie...

As a Fullstack Python Developer specializing in FastAPI, React, and Generative AI, you will play a crucial role in developing scalable web applications, intelligent APIs, and AI-powered user experiences. Your responsibilities will span from backend development using Python and FastAPI to frontend development with React. Additionally, you will integrate Generative AI models to enhance the functionality of the applications you build. Your key responsibilities will include developing and maintaining RESTful APIs with FastAPI, implementing microservices architecture, and integrating GenAI models such as OpenAI, Hugging Face, and Stability AI. On the frontend side, you will work on creating respo...

You will be working as a Machine Learning Engineer in an in-office setting in Hyderabad. Your primary focus will be on utilizing AI/ML techniques, specifically in computer vision applications. Your responsibilities will include designing, building, and fine-tuning machine learning models for tasks like object detection, segmentation, and image classification. As a Machine Learning Engineer, you will leverage pre-trained models and implement fine-tuning to customize them for specific use cases. It will be crucial for you to optimize model performance by incorporating cutting-edge techniques in transfer learning, regularization, and hyperparameter tuning. Collaboration with data scientists, en...

You should have 6-10+ years of experience in AI/ML development, including at least 3 years of hands-on experience in Generative AI, RAG frameworks, and Agentic AI systems. As a Generative AI Engineer, you will be responsible for designing, developing, and optimizing RAG pipelines using frameworks such as LangChain, LlamaIndex, or custom-built stacks. You will also implement Agentic AI architectures involving task-based agents, stateful memory, planning-execution workflows, and tool augmentation. Additionally, you will perform model fine-tuning, embedding generation, and evaluation of LLM outputs while incorporating human and automated feedback loops. Building and enforcing guardrails to ensu...

As a Prompt Engineer in the Artificial Intelligence/R&D department, you will play a vital role in building, optimizing, and testing natural language prompts to enhance the performance of large language models like OpenAI GPT, Claude, and Gemini. Your primary responsibilities will involve designing, writing, and optimizing natural language prompts to address specific business or product challenges. Working alongside data scientists, product managers, and engineering teams, you will contribute to the development of high-quality AI prompt systems for real-world applications. Your role will require you to analyze and test the impact of different prompts on model output quality, collaborating clo...