81 Fine Tuning Jobs - Page 2

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 3 years of experience in a technical leadership role; overseeing projects. 2 years of experience in a people management, supervision/team leadership role. 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). Prefe...

Hiring Data Scientist (5–9 yrs) with NLP, ML, LLM expertise. Strong in Python, PyTorch/TensorFlow, Hugging Face, LangChain, vector DBs (FAISS, Pinecone), GCP. Exp in fine-tuning, embeddings, AI solutions. Apply - mugdha@genesishrservices.in

Role Overview: You will be responsible for working on Machine Learning projects focusing on Gen AI. Your main tasks will include building and fine-tuning large-scale language models using PyTorch. You should have experience in working with Transformer models, either fine-tuning or training on open-source Transformer-based models. Additionally, you should have completed projects related to LLM Rag Gen AI and have hands-on experience in Python coding. A solid understanding of either Machine Learning or Deep Learning is mandatory for this role. Excellent communication and stakeholder management abilities are also essential. Key Responsibilities: - Work on building and fine-tuning large-scale la...

As a Technical Owner at Lifesight, you will be responsible for leading the development of one product at a time from zero to MVP in a matter of weeks. Your role will involve architecting and building end-to-end applications, integrating and evaluating AI models, designing system instructions and tool-calling, and establishing solid engineering foundations for quality, scalability, security, and observability in production. Your collaboration with a PM, marketer, ops lead, and mentoring a junior engineer will be crucial in driving the success of the product. **Key Responsibilities:** - Translate problem statements into architectures and implementation plans, delivering functional MVPs within ...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Preferred qualifications: Experience in machine learning, deep learning, and AI development, along with experience building and deploying production-level models. Experience in working with distributed teams across multiple time zones, fostering strong communication, collaboration, and a sense of shared purpose even in a remote work environment. Experience in working with distributed teams across multiple time zone...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 3 years of experience in a technical leadership role; overseeing projects and 2 years of experience in a people management, supervision/team leadership role. Prefer...

Role Overview: As a Software Engineering Manager at Google, your role goes beyond just Search. You will have the technical expertise to take on and provide technical leadership to major projects, while also managing a team of Engineers. Your responsibilities will include optimizing your own code, ensuring that Engineers are able to optimize theirs, managing project goals, contributing to product strategy, and helping develop your team. You will work across the company in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, and user interface design. Operating with s...

About Anteriad We are not just another B2B solution provider. We're problem solvers. We believe that data is the key to unlocking effective solutions that span a range of marketing challenges - from customer acquisition to demand generation to account-based marketing. Data is at the core of everything we do. Our team works tirelessly to create powerful solutions that drive real results for our clients. Whether it's through innovative technology or deep analysis, we're committed to finding the best path to growth for every one of our customers. Why Join Our Data Engineering Team? Work with a collaborative team and provide top-rated solutions to Fortune 500 companies. This is an exciting oppor...

Role Overview: As a Generative AI Engineer at Prismforce, you will be responsible for working on cutting-edge NLP and ML projects. By leveraging large language models (LLMs) and advanced deep learning techniques, you will play a crucial role in solving complex business challenges. Your role will involve fine-tuning LLMs, evaluating and improving RAG (Retrieval-Augmented Generation) pipelines, applying transfer learning and transformer architectures, validating model accuracy, collaborating with product teams, contributing innovative ideas, and maintaining an experimental mindset. Key Responsibilities: - Fine-tune LLMs using techniques like LoRA and QLoRA - Evaluate and improve RAG pipelines ...

As a Performance Test Engineer at our company, you will be responsible for the following: - Designing, developing, and executing load tests using tools such as JMeter, Blaze Meter, and K6. - Executing benchmark, load, and stress tests to ensure the performance of applications. - Demonstrating expertise in Test Planning, Test Estimation, Test Strategy, and Workload Design. - Running performance tests in CI/CD pipelines to streamline the testing process. - Utilizing APM tools like Dynatrace, New Relic, or Datadog to monitor business transactions across all tiers of applications. - Analyzing reports and documenting observations to identify bottlenecks and areas for improvement. - Working on fin...

Role Overview: As an AI Fine Tuning Expert at our company located in Siruseri, Chennai, your primary responsibility will be to fine-tune LLaMA models on domain-specific data such as finance, healthcare, telecom, legal, etc. You will also be involved in curating, cleaning, and pre-processing datasets for supervised and unsupervised fine-tuning. Additionally, you will implement low-rank adaptation (LoRA), PEFT, QLoRA, or full fine-tuning as required and optimize model training performance using tools/libraries. Evaluating fine-tuned models using appropriate metrics, deploying and integrating models with APIs, RAG pipelines, or inference servers, and conducting safety audits and hallucination c...

Job Title: Senior AI/ML Engineer (Python) Location: Gurgaon, India Employment Type: Full-time Experience Required: 8+ years About the Role: We are seeking a Senior AI/ML Engineer with deep expertise in building, deploying, and fine-tuning advanced machine learning and deep learning models. This role emphasizes LLMs, Hugging Face ecosystem, and fine-tuning techniques like LoRA (Low-Rank Adaptation) for scalable AI-driven applications. The ideal candidate will be a hands-on expert in AI/ML frameworks, end-to-end pipeline development, and modern MLOps practices, while also mentoring teams and contributing to the companys AI strategy. Key Responsibilities: Architect, design, and deploy advanced ...

Job Description : Generative AI Developer (1- 4 Years) We are looking for a talented Generative AI Developer with 1- 4 years of experience to join our team and contribute to building next-generation AI-driven applications. The ideal candidate will have strong expertise in Python, AI agents, RAG pipelines, and practical experience across machine learning, deep learning, NLP, and computer vision. You will work on designing, developing, and deploying generative AI systems in production. Role & responsibilities Design, develop, and optimize AI agent workflows, including multi-agent systems and agentic RAG pipelines. Implement and maintain solutions using frameworks such as LangChain, LangGraph, ...

Build and optimize GenAI model workflows : Fine-tune, evaluate, and productionize LLMs, integrating them into a modular platform. Develop reusable components for model-as-a-service : Abstract prompt engineering, tuning methods (LoRA, PEFT), and deployment logic into scalable microservices. Collaborate with platform and infra teams : Ensure AI workloads are GPU-efficient, monitorable, and tightly integrated with MLOps and DevSecOps standards. Work on Agentic AI frameworks : Build task-driven autonomous agents that integrate tools, APIs, and reasoning workflows across domains. Experience in ML/DL/GenAI with a Master's in Computer Science, AI, or related field. Expertise in LLMs , Transformer a...

Location: Hyderabad, India | Employment Type: Full-Time Experience Level: 4+Years Company: Covasant Contact Person: Ranjith Reddy 9703455109 | ranjith.palle@covasant.cm | linkedin.com/in/ranjith-r-75a766227 Build the Future of AI with Covasant At Covasant , we don't just work with AI we engineer the next era of it. We're hiring mid-level to senior developers and AI leads to help us build next-generation agentic AI systems that are intelligent, collaborative, and scalable. This is your chance to go beyond prompt engineering and shape the architecture of autonomous, multi-agent AI solutions using tools like LangGraph, AutoGen, CrewAI , and more. If youve got the skills and curiosity to work on...

Job Description : Role Overview We are looking for a skilled Generative AI Developer with strong hands-on expertise in designing, fine-tuning, and deploying LLM (Large Language Model)-based solutions. The ideal candidate will combine deep technical knowledge of AI/ML with strong software engineering skills to build scalable, production-ready applications powered by Generative AI. You will work closely with data scientists, ML engineers, and product teams to create innovative solutions across multiple domains. Key Responsibilities Develop and deploy Generative AI applications using LLMs, diffusion models, and other foundation models. Fine-tune pre-trained models (GPT, LLaMA, Falcon, Mistral, ...

Python, Deep Learning, Object Detection, Classification, Segmentation., GPU acceleration (CUDA, cuDNN). Model Optimization (pruning, quantization), deploying models to edge devices. Required Candidate profile willingness to explore and contribute to Generative AI and cloud-based AI solutions, C/C++., AWS Cloud AI/ML tools, exposure to GenAI frameworks like OpenAI, Stable Diffusion

Do you have a passion for pushing the boundaries of innovation and excited about the potential of AI to enhance the human experience Come join Cerence AI, the global leader in AI for transportation, specializing in developing AI and voice-powered companions for various vehicles. With over 500 million cars equipped with Cerence technology, we collaborate with prominent automakers like Volkswagen, Mercedes, Audi, Toyota, and more to create intuitive, integrated experiences for safer, connected, and enjoyable journeys. Our team at Cerence AI is dedicated to advancing AI innovation globally, with headquarters in Burlington, Massachusetts, USA, and 16 other offices across Europe, Asia, and North ...

We are hiring a Machine Learning Engineer with a strong foundation in computer vision, image classification, image processing, and prompt-based generative modeling. In this role, you will focus on building and deploying production-grade ML pipelines that process images at scale, integrate generative models, and power visual AI products. Role & responsibilities Build and optimize ML pipelines for image classification, detection, and segmentation tasks. Design, train, fine-tune, and deploy deep learning models using CNNs, Vision Transformers, and diffusion-based models. Work with image datasets (structured/unstructured), including preprocessing, augmentation, normalization, and enhancement tec...

Sr. AI/ML Engineer Job Summary: We are seeking Senior AI/ML Engineers with 3 to 6 years of experience in implementing, deploying, and scaling AI/ML solutions. This role involves working with generative AI, machine learning, deep learning, and data science to solve business challenges by designing, building, and maintaining scalable and efficient AI/ML applications. Key Responsibilities: AI: Architect scalable Generative AI and Machine Learning applications using AWS Cloud and other cutting-edge technologies. Extensive experience with LLMs and various prompt engineering techniques. Fine-tune and build custom LLMs. Deep understanding of LLM architecture and internal mechanisms. Experience with...

6+ Years of prior analytics and data science experience in driving projects involving Advanced Analytics and Data Science Collaborate with cross-functional teams including Engineering and Business to experiment, implement and deploy complex AI and Gen AI capabilities Strong experience in Statistical Modelling and in Machine Learning techniques like Regression, GBM, Decision Trees, Random Forest, K-Means Clustering, Strong exposure in NLP/Text Analytics, SVM, LSTM, Deep Learning, Neural network Experience in deep learning frameworks such as Tensor Flow, Keras or PyTorch In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open...

Experience: 6 to 9 Years Location: Chennai, Hyderabad, Bangalore, Pune, Delhi/NCR Notice Period: Immediate / 15 days / Serving NP (preferred) About the Role As a Data Scientist specializing in Generative AI and NLP , you will be at the forefront of AI innovation. You will design and deploy advanced models, including Large Language Models (LLMs) , to solve complex business problems. Partnering with cross-functional teams, you will build scalable, data-driven solutions that bring AI-driven intelligence and creativity to life across industries. Key Responsibilities Generative AI & NLP Development: Design, develop, and deploy advanced applications using models like GPT, LLaMA, and Mistral, along...

Build Gen AI applications using LLMs (OpenAI, LLaMA,Falcon) Develop (RAG) pipelines with vector databases such as ChromaDB, Pinecone, LanceDB. Implement & optimize prompt engineering, embeddings, & semantic search Fine-tune and adapt pre-trained LLMs Required Candidate profile Strong programming skills in Python LangChain, Transformers (Hugging Face, BERT, GPT models) Vector databases (Chroma, Pinecone, LanceDB, Weaviate, FAISS) Deep Learning, Neural Networks, NLP technique

Role & responsibilities Excellent knowledge on Sybase ASE, Sybase replication database administration, High Availability, Minor & Major Upgrade, Query Fine-Tuning, Capacity Planning etc. Working experience on Sybase Versions ASE 12.5 up to latest version of Sybase ASE/IQ & REP. Experience in design, build and manage Sybase database server. Excellent experience in setting up/ maintaining cluster, Sybase replication server and HA. Excellent understanding of Warm Standby/MSA and Table/Function level Replication. Experience in disaster recovery solutions design, implementation, and testing. Well-versed with database backup & restoration, file systems and RPO/RTO. Analyse, solve and Fix issues in...

About the Role We are looking for a highly skilled and motivated AI ML Engineer with a strong background in LLMs, RAG pipelines, MLOps, and Azure Cloud . The ideal candidate should have deep experience in building and fine-tuning LLMs, deploying ML systems at scale, and integrating AI capabilities into enterprise-grade applications. Key Responsibilities Design and implement RAG (Retrieval-Augmented Generation) pipelines and AI agentic systems using LLM frameworks. Fine-tune LLMs and develop narrow, domain-specific models using industry best practices. Collaborate with data scientists and product teams to deploy ML models in production environments. Build and maintain robust MLOps pipelines u...