7 Model Finetuning Jobs

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. Tredence, founded in 2013, is a company dedicated to transforming data into actionable insights. With a focus on helping over 50 Fortune 500 clients succeed in their industries, we operate globally with our headquarters in San Jose and a presence in 5 countries. Our goal is to be the world's most indispensable analytics partner by combining deep domain expertise with advanced AI and data science to deliver exceptional business value. We welcome you to be a part of our team and contribute to our innovative journey.,

As a Senior ML/AI Engineer at our Technology Innovation Lab, you will be a key member of a cross-disciplinary team dedicated to advancing AI and intelligent automation at HERE. Your primary responsibility will be to develop cutting-edge machine learning systems that leverage Agentic AI, Generative AI, and foundational ML techniques to drive the next generation of applications. Collaborating closely with technical leads, researchers, and engineers, you will prototype solutions to address real-world spatial, operational, and knowledge-driven challenges. Your role will involve architecting and implementing AI-first systems using technologies such as Large Language Models (LLMs), Autonomous Multi-Agent Architectures, and Classical ML models like regression, clustering, XGBoost, SVM, and tree-based learners. Leading the development of Agentic AI solutions will be a core aspect of your role, encompassing tasks such as orchestration, memory/context management, tool invocation, and human-agent collaboration. You will also be responsible for designing and delivering end-to-end Generative AI applications for various purposes including text generation, summarization, code synthesis, image generation, and multi-modal interfaces. Your expertise in deep learning techniques, including CNNs, RNNs (LSTM, GRU), GANs, Diffusion Models, Transformers, and Graph Neural Networks, will be crucial for tackling real-world tasks in vision, language, and planning. You will collaborate across teams to translate domain-specific problems into scalable, explainable, and production-ready AI solutions while incorporating responsible AI principles. Staying at the forefront of AI research will be essential, as you evaluate and implement emerging LLM models, agentic frameworks, and open-source innovations to ensure technical currency in this rapidly evolving field. You will also design and lead experiments across advanced AI/ML areas, encompassing computer vision, NLP, LLMs, and emerging domains like quantum computing, distributed computing, 3D modeling, AR/VR, and LiDAR/drone data processing. Writing efficient, production-quality code using Python and leveraging frameworks like PyTorch, TensorFlow, and Spark for large-scale ML training and inference will be part of your daily tasks. Defining and tracking KPIs at both individual and business unit levels, in collaboration with your manager, will ensure that your work drives impactful innovation. Supporting and mentoring engineers and data scientists in best practices related to prompt design, agent workflows, evaluation frameworks, and research translation will also be part of your responsibilities. Additionally, contributing to HERE's innovation footprint through patents, internal IP development, and peer-reviewed publications will be encouraged. To qualify for this role, you should hold a Master's degree or Ph.D. in Computer Science, AI/ML, Mathematics, or a related field. Candidates with a Master's degree should have 5-7 years of experience, while Ph.D. holders may have 3-5 years of relevant experience. A strong understanding of ML fundamentals, hands-on experience with deep learning architectures, proficiency in Python, and familiarity with ML frameworks are essential qualifications. Curiosity and exposure to adjacent technologies like TinyML, Quantum Computing, or 3D modeling/AR will be considered advantageous. At HERE Technologies, we are a location data and technology platform company dedicated to empowering our customers and making a positive impact on people's lives. If you are passionate about driving innovation and creating positive change in an open world, we invite you to join us on this exciting journey.,

The position of Gen AI / AI Engineer (Mid-Level) in Hyderabad requires a candidate with at least 2 years of experience in developing and deploying AI/ML solutions, focusing particularly on Generative AI and RAG (Retrieval-Augmented Generation) architectures. As an AI Engineer, you will be involved in working with cutting-edge models, fine-tuning, and integrating systems to create scalable AI products. Your responsibilities will include fine-tuning and optimizing Large Language Models (LLMs) and generative models for both text and image data. You will also be responsible for designing and implementing RAG pipelines that incorporate knowledge bases, developing APIs, microservices, and scalable AI pipelines, collaborating with MLOps teams for production deployment, and staying updated on the latest AI trends to apply innovative techniques effectively. The ideal candidate should possess expertise in Python programming language, PyTorch or TensorFlow frameworks, Generative AI tools such as OpenAI, Anthropic, LLaMA, RAG architecture, Natural Language Processing (NLP), Computer Vision, API development, MLOps practices, and experience working with Cloud Platforms like AWS, Azure, or GCP. Qualifications for this role include a Bachelor's degree in Computer Science or a related field, a minimum of 2 years of experience in AI/ML with a focus on GenAI and RAG, and hands-on experience in deploying models at a production level. If you are enthusiastic about contributing to the development of next-generation AI solutions, we encourage you to apply for this exciting opportunity.,

You are an experienced AI/ML Engineer with a solid foundation in Machine learning, Artificial Intelligence, and at least one year of hands-on experience in Generative AI. You are proficient in Python, LLM Models, and emerging techniques such as Retrieval-Augmented Generation (RAG), model fine-tuning, and agentic AI systems. Your responsibilities will include designing, developing, and deploying AI/ML solutions with an emphasis on generative models and LLMs. You will implement and optimize RAG pipelines for knowledge-aware AI systems, fine-tune and customize models for specific domains or applications, and build and manage agentic AI systems capable of autonomous planning and decision-making. Collaboration with cross-functional teams to identify use cases and deliver scalable AI-powered features is essential. You will stay up to date with the latest developments in AI/ML and contribute to internal knowledge sharing. Required qualifications include 3+ years of experience in AI/ML development, a minimum of 1 year of hands-on experience in Generative AI projects, proficiency in Python and common ML libraries, a strong understanding of Large Language Models (LLMs) and transformer architectures, experience with RAG pipelines, and hands-on experience with model fine-tuning using LoRA, PEFT, or Hugging Face Transformers. Additionally, experience developing agentic AI systems and working with cloud platforms is necessary. You will work with frameworks & libraries such as LangChain, LlamaIndex, AutoGen, PyTorch, and TensorFlow, model providers like OpenAI, Anthropic, Llama, Mistral, vector stores such as FAISS, Pinecone, Milvus, and APIs & Services like REST, GraphQL. Experience with DevOps & Infra tools like Docker, AWS/GCP/Azure will be beneficial for this role.,

As a Python Developer within our Information Technology department, your primary responsibility will be to leverage your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI. We are seeking a candidate who possesses hands-on experience with GPT-4, transformer models, and deep learning frameworks, along with a profound comprehension of model fine-tuning, deployment, and inference. Your key responsibilities will include designing, developing, and maintaining Python applications that are specifically tailored towards AI/ML and generative AI. You will also be involved in building and refining transformer-based models such as GPT, BERT, and T5 for various NLP and generative tasks. Working with extensive datasets for training and evaluation purposes will be a crucial aspect of your role. Moreover, you will be tasked with implementing model inference pipelines and scalable APIs utilizing FastAPI, Flask, or similar technologies. Collaborating closely with data scientists and ML engineers will be essential in creating end-to-end AI solutions. Staying updated with the latest research and advancements in the realms of generative AI and ML is imperative for this position. From a technical standpoint, you should demonstrate a strong proficiency in Python and its relevant libraries like NumPy, Pandas, and Scikit-learn. With at least 7+ years of experience in AI/ML development, hands-on familiarity with transformer-based models, particularly GPT-4, LLMs, or diffusion models, is required. Experience with frameworks like Hugging Face Transformers, OpenAI API, TensorFlow, PyTorch, or JAX is highly desirable. Additionally, expertise in deploying models using Docker, Kubernetes, or cloud platforms like AWS, GCP, or Azure will be advantageous. Having a knack for problem-solving and algorithmic thinking is crucial for this role. Familiarity with prompt engineering, fine-tuning, and reinforcement learning with human feedback (RLHF) would be a valuable asset. Any contributions to open-source AI/ML projects, experience with vector databases, building AI chatbots, copilots, or creative content generators, and knowledge of MLOps and model monitoring will be considered as added advantages. In terms of educational qualifications, a Bachelor's degree in Science (B.Sc), Technology (B.Tech), or Computer Applications (BCA) is required. A Master's degree in Science (M.Sc), Technology (M.Tech), or Computer Applications (MCA) would be an added benefit for this role.,

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. Your key responsibilities will involve designing, developing, and deploying AI/ML solutions focusing on generative models and LLMs. You will be required to implement and optimize RAG pipelines for knowledge-aware AI systems, fine-tune and customize models for specific domains, and build and manage agentic AI systems capable of autonomous planning and decision-making. Collaborating closely with cross-functional teams, you will identify use cases and deliver scalable AI-powered features. It is essential to stay updated with the latest AI/ML developments and contribute to internal knowledge sharing. To qualify for this role, you must have a minimum of 3 years of experience in AI/ML development, with at least one year of hands-on experience in Generative AI projects. Proficiency in Python and common ML libraries like PyTorch and scikit-learn is required. A strong understanding of Large Language Models (LLMs) and transformer architectures is essential. Experience in building RAG pipelines, integrating vector search systems, and model fine-tuning using tools like LoRA, PEFT, or Hugging Face Transformers is expected. Familiarity with developing agentic AI systems using frameworks such as LangChain, AutoGen, or custom orchestration logic is preferred. Additionally, experience working with cloud platforms is beneficial. You will work with frameworks and libraries including LangChain, LlamaIndex, AutoGen, PyTorch, and TensorFlow. Model providers you will engage with are OpenAI, Anthropic, Llama, and Mistral. Your expertise will also involve working with vector stores like FAISS, Pinecone, and Milvus, along with APIs & Services such as REST and GraphQL. In terms of DevOps & Infrastructure, you will utilize tools like Docker, AWS/GCP/Azure. Join us in this dynamic role where you will contribute to cutting-edge AI/ML projects and make a significant impact in the field of Artificial Intelligence.,

The company is seeking a Gen AI / AI Engineer with at least 2 years of experience in the field of AI/ML solutions, specifically focusing on Generative AI and RAG (Retrieval-Augmented Generation) architectures. The role involves working on cutting-edge models, fine-tuning, and integrating systems to develop scalable AI products. Responsibilities include fine-tuning and optimizing Large Language Models (LLMs) and generative models for text and image, designing and implementing RAG pipelines with knowledge bases, developing APIs, microservices, and scalable AI pipelines, collaborating with MLOps teams for production deployment, and staying updated on the latest AI trends to apply innovative techniques. The ideal candidate should possess skills in Python, PyTorch/TensorFlow, Generative AI (OpenAI, Anthropic, LLaMA), RAG architecture, Natural Language Processing (NLP), Computer Vision, API development, MLOps, and have experience working with Cloud Platforms such as AWS/Azure/GCP. Qualifications include a Bachelors degree in Computer Science or a related field, at least 2 years of experience in AI/ML with a focus on GenAI & RAG, and hands-on experience with production-grade model deployment. If you are enthusiastic about contributing to the development of next-generation AI solutions, we encourage you to apply for this exciting opportunity now!,