139 Model Optimization Jobs

Role Overview: As a Lead Machine Learning Engineer at Ramboll Tech, you will be responsible for creating cutting-edge AI solutions that empower the business while also mentoring others and fostering a culture of collaboration and growth. You will play a key role in shaping the technical roadmap, defining architectural patterns, integrating external knowledge bases, and exploring state-of-the-art LLMs to deliver impactful AI solutions. Key Responsibilities: - Define architectural patterns for scalable LLM pipelines, ensuring robust versioning, monitoring, and adherence to best practices. - Drive the integration of external knowledge bases and retrieval systems to augment LLM capabilities. - R...

As a Gen AI Consultant with 3-4 years of experience in Generative AI, NLP, and Machine Learning, your role at our Hyderabad office will involve developing AI-driven solutions, fine-tuning models, and integrating AI technologies into business applications. Key Responsibilities: - Design and develop Generative AI models such as LLMs, NLP, and Deep Learning. - Fine-tune and optimize AI models for improved performance and scalability. - Implement chatbots, automation tools, and AI-based applications. - Utilize Python, TensorFlow, PyTorch, and Hugging Face frameworks for development. - Deploy AI models using APIs, cloud platforms like AWS, Azure, Google AI, and vector databases. - Stay informed a...

Example Responsibilities: Build and optimize model serving infrastructure with a focus on inference latency and cost optimization Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options Develop monitoring and observability solutions for ML systems Collaborate with ML Engineers to establish best practices for optimized model deployment Implement cost-efficient, enterprise-scale solutions Collaborate in a cross-functional, distributed team for continuous system improvement Work with MLEs, QA Engineers, and DevOps Engineers Evaluate and implement new technologies and tools Contribute to architectural decisions for distributed ML sys...

Description Hardware Silicon and Systems Group leads the development and optimization of on-device ML models for Amazon's hardware products, including audio, vision, and multi-modal AI features. We work at the critical intersection of ML innovation and silicon design, ensuring AI capabilities can run efficiently on resource-constrained devices. Currently, we enable production ML models across multiple device families, including Echo, Ring/Blink, and other consumer devices. Our work directly impacts Amazon's customer experiences in consumer AI device market. The solutions we develop determine which AI features can be offered on-device versus requiring cloud connectivity, ultimately shaping pr...

Role Overview: As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that utilize Computer Vision and Generative AI techniques. Your main focus will be on building and enhancing AI systems to address real-world challenges and contribute to the innovation of products and services. Key Responsibilities: - Utilize machine learning frameworks like TensorFlow, PyTorch, Keras, or similar to develop models - Implement Computer Vision techniques including image classification, object detection, segmentation, and tracking - Work with Generative AI models such as GANs, VAEs, and other deep learning-based generative models - Utilize com...

As an Experienced Data Scientist at our company, you will be responsible for developing and implementing Generative AI solutions to address critical business challenges and unlock new opportunities. You will leverage your expertise in data science, machine learning, and Generative AI techniques to drive impactful projects from ideation to deployment. **Responsibilities:** - **Data Handling & Preparation:** - Work with diverse and large-scale datasets. - Perform data cleaning, preprocessing, feature engineering. - Create synthetic datasets as needed for training and evaluating Generative AI models. - Ensure data quality and integrity throughout the model development lifecycle. - **Model Optim...

Role Overview: You will be responsible for designing, building, fine-tuning, and evaluating generative AI models for specific business use cases. Additionally, you will work on platform integration and enhancement, collaborate with cross-functional teams, focus on human-centric AI design, conduct research and prototyping, monitor performance, ensure ethical AI practices, and contribute to governance. Key Responsibilities: - Design, build, fine-tune, and evaluate generative AI models for specific business use cases - Apply prompt engineering and model optimization techniques for performance and cost-efficiency - Work on platform integration and enhancement within Quantanite's MoBIUS Generativ...

As a digital asset creator, your role involves creating and managing digital assets based on concept art and sketches. You will interpret these designs to develop virtual characters, environments, and props. Following design guidelines, asset naming conventions, and technical constraints is crucial in your work. Key Responsibilities: - Prototype and iterate on models and characters based on feedback from team members - Create textures and UV maps for digital assets - Optimize, refine, and correct model geometry for better performance - Rig models and characters for animation purposes - Collaborate with artists, animators, and programmers to ensure timely project delivery - Stay updated with ...

As a skilled SAP Datasphere professional, your primary responsibility will involve designing, developing, and implementing enterprise-level data management and analytics solutions. Your role will focus on creating scalable and secure data pipelines and models while integrating SAP Datasphere with BW/4HANA, SAC, and other relevant data sources. - Architect and integrate solutions by designing data pipelines and integrations within SAP Datasphere and its associated environments. - Build logical and physical data models, replication flows, ETL processes, and task chains. - Manage data governance and security aspects such as tenant setup, user roles, security at object- and row-level, and metada...

We are seeking a skilled AI Engineer with 47 years of hands-on experience in designing, developing, and deploying AI/ML models The ideal candidate must have strong practical exposure to Large Language Models (LLMs), machine learning frameworks, and end-to-end model development The role involves building scalable AI-driven solutions, optimizing model performance, integrating intelligence into applications, and collaborating with data and engineering teams to drive automation and innovation The candidate should possess strong problem-solving skills, experience working with modern AI/ML pipelines, and a solid foundation in deploying models into production environments This is a full-time, perma...

As an AI/ML Engineer at Left Right Mind, you will be part of a dynamic team working on cutting-edge GenAI solutions and deploying large language models (LLMs) for real-world applications. Your primary responsibilities will include: - Developing and deploying AI/ML models to address business challenges - Optimizing LLMs for specific domains - Building end-to-end ML pipelines encompassing data preprocessing, training, and evaluation Additionally, you will work with both structured and unstructured data to extract valuable insights and collaborate closely with engineers to bring models into production effectively. We expect you to stay abreast of the latest advancements in GenAI, RAG, and LLM r...

Role Overview: You are a highly skilled and innovative Inference Optimization (LLM and Runtime) at Sustainability Economics.ai, responsible for designing, developing, and optimizing cutting-edge AI systems. Your role involves integrating AI-driven cloud solutions with sustainable energy to create scalable, intelligent ecosystems that drive efficiency and innovation across industries. Collaborating with cross-functional teams, you will build production-ready AI solutions that address real-world business challenges and keep the platforms at the forefront of AI innovation. Key Responsibility: - Optimization and customization of large-scale generative models (LLMs) for efficient inference and se...

AI/Computer Engineer with Python, C++and advanced ML (LSTM, CNN,XGBoost). Strong numericalskills and stock-market knowledge preferred.FPGA expertise required for ultra-low-latency market data processing and trade execution.Degree from topinstitutes

Develop and optimize AI models for insurance, apply data science for insights, innovate with new techniques, integrate solutions into the platform, and monitor deployed systems for accuracy, scalability, and reliability, ensuring strong performance. Required Candidate profile 2+ yrs exp, production AI work, strong LLM/RAG/function-calling skills, vector embeddings/search knowledge; agent and voice AI exposure a plus; strong Python or Node.js and excellent SQL required.

2-3 years of experience in data science or related analytics role Proficiency in Python with hands-on experience using Jupyter notebooks for data analysis and model development Strong working knowledge of core Python data science libraries including pandas, scikit-learn, and NumPy Solid understanding of the mathematical and statistical foundations behind decision trees, neural networks, hypothesis testing, statistical distributions, and regression analysis Experience with exploratory data analysis (EDA) techniques and data visualization for pattern discovery Hands-on experience with hyperparameter tuning and model optimization techniques Ability to construct meaningful labels from business d...

Location: Bangalore Position : Senior ML-Engineer Experience: 6-9 years Workplace type: Work From Office Notice Period- Immediate -30 days Job Description 5-7 years of experience in machine learning engineering, with a significant track record in the developing production grade models and model pipelines in a regulated industry such as healthcare. ? Hands-on expertise in working with large language models (e.g., GPT, BERT), computer vision models, and classic NLP technologies. ? Proficient in programming languages such as Python, with extensive experience in ML libraries/frameworks like TensorFlow, PyTorch, OpenCV, etc. ? Strong understanding of deep learning techniques, model fine-tuning, h...

Job Title: AI Architect Vision Language Models (VLM) & Computer Vision Company: People Tech Group Location: Hyderabad Employment Type: Initially it will be Contract About People Tech Group People Tech Group is a technology-first digital innovation company specializing in AI Engineering, Data Platforms, Cloud Modernization, Enterprise Applications, and Digital Product Development. We partner with global enterprises to build scalable, intelligent, and future-ready systems powered by next-gen AI and modern engineering. Role Overview We are looking for an AI Architect with strong expertise in Vision-Language Models (VLMs), Multimodal AI, and advanced Computer Vision to lead design and developmen...

As a Hardware Engineer at Qualcomm India Private Limited, you will play a crucial role in planning, designing, optimizing, verifying, and testing electronic systems. Your responsibilities will include working on various systems such as circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems. You will be instrumental in launching cutting-edge products by collaborating 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 us...

Developer - AI Engineering Senior AI Engineering Developer, candidate should have development experience of 7+ years , out of which 3+ years of experience in AI/ML development. Business Analyst Senior Business Analyst with a strong background in Life Sciences domain, with strong grip on cross function requirement and integrities. Experience 7-12 Years

Job Application Link: https://app.fabrichq.ai/jobs/f61b80fb-a1de-4147-a985-e333b90393ff Job Summary: The Principal AI Engineer will lead Generative AI vision, strategy, and architecture. They will architect, build, and improve GenAI applications, automate ML pipelines, and establish reusable frameworks. The role involves building guardrails, compliance rules, and promoting good software engineering practices across the team. Key Responsibilities Drive Generative AI vision, strategy, and architecture Architect, build, maintain, and improve GenAI applications and underlying systems Automate machine learning pipelines, monitor performance and costs Optimize models using techniques such as LoRA/...

Role Overview: As a part of the Data Science team at BOLD, you will utilize your analytical skills and business knowledge to provide valuable insights to the Product and Management teams. Your role will involve leveraging vast user data sets to drive product development, enhance existing products, and discover inferences and relationships in data to facilitate the creation of new products. Key Responsibilities: - Work on data science projects involving NLP, large language models, predictive modeling, statistical analysis, vector space modeling, and machine learning - Utilize rich user data sets to conduct research, develop models, and create data products in collaboration with Development & ...

Position Title: AI & Embedded Systems Engineer Location: Gurgaon Job Description: We're looking for an innovative and technically strong R&D Engineer AI & Embedded Systems with expertise in Python, AI, and Machine Learning , combined with a solid understanding of C/C++ and Linux programming . The ideal candidate will bridge the gap between data science and embedded systems , contributing to intelligent product development and advanced analytics solutions. Key Responsibilities: Develop and implement Machine Learning and Deep Learning models for predictive analytics and intelligent automation. Work on AI-driven embedded applications , optimizing algorithms for edge devices. Utilize strong prog...

About TalentGum TalentGum is transforming extracurricular learning for children aged 514 years through engaging live online courses in music, dance, chess, and public speaking etc. Our mission is to build the next generation of learning intelligence an AI-driven platform that can observe, understand, and help children improve their creative and cognitive skills through personalized, real-time insights. We are looking for AI Research Engineers who are passionate about bridging human creativity and machine intelligence, and want to work at the intersection of AI, performance, and education. Role Overview As an AI Research Engineer , you'll design and develop machine learning systems that can u...

AI Engineer Location: Chennai Experience: 2+ Years Employment Type: Full-time About Us: At RoshAi, we are at the forefront of AI-driven innovation, building cutting-edge autonomous systems and intelligent solutions for diverse industry applications. Our work spans autonomous mobility, deep learning, AI-driven automation, and advanced machine learning models that shape the future of intelligent technology. If you are passionate about AI and eager to solve real-world challenges, we invite you to join our team. Role Overview: As an AI Engineer, you will design, develop, and optimize AI/ML models to power our innovative solutions. You will work closely with cross-functional teams, leveraging AI ...

As a Senior ML Engineer / Applied ML Lead at Zillwork, you will be responsible for the following: - Building ML systems from scratch - Owning the ML architecture end-to-end - Handling NLP, embeddings, and ranking models - Working with geospatial data - Deploying production-grade ML - Guiding and mentoring junior ML engineers In this founding-level role, you will have full ownership of ML at Zillwork. Technical Qualifications: - 4-8 years experience in Machine Learning - Strong Python skills including NumPy, Pandas, and Scikit-learn - Proficiency in deep learning frameworks such as PyTorch or TensorFlow - Experience with NLP using transformer-based models like HuggingFace, BERT family, XLM-R,...