16 Computer Vision Jobs

As a Manager at Global Data Insights and Analytics (GDI&A) at Ford Motor Company, you will be responsible for leading and mentoring a multi-skilled product team consisting of data scientists, machine learning engineers, product designers, and software engineers. Your role will involve guiding the team through the entire lifecycle of complex analytical and AI/ML data science products, with a focus on driving value and transforming Ford Motor Company through evidence-based decision making. **Key Responsibilities:** - **Technical Leadership:** - Provide expert technical guidance and mentorship to data scientists & software engineers. - Contribute to code reviews, design discussions, algorithm s...

As an Industry Solutions Architect (Horizontal/Telco & Media Plus) at our company, your role will involve supporting strategic deal pursuits from the Industry Business Development team by shaping and delivering industry-specific, cross-functional solutions that meet client needs. You will be responsible for crafting compelling, scalable, and technically sound solutions that integrate frontier technologies with traditional enterprise systems and bridge cross-functional offerings into cohesive, client-ready solutions. The ideal candidate will be up-to-date with the latest AI developments and capable of creating innovative, scalable solutions that enable 5G, edge computing, AI-driven customer e...

As an AI/ML Engineer at an Indian, Chennai-based deep-tech startup, your primary responsibility will be to design, train, and optimize deep learning models for image classification and object detection. Your role will involve implementing and maintaining end-to-end computer vision pipelines, developing, deploying, and managing models on cloud platforms, and handling the full model lifecycle. Additionally, you will work closely with cross-functional teams to integrate AI models into production environments, monitor and evaluate model performance, and maintain comprehensive documentation for reproducibility and compliance. **Key Responsibilities:** - Design, train, and optimize deep learning m...

As a Senior Data Scientist GenAI, you will be responsible for leading the design, development, and deployment of advanced AI and Generative AI solutions. Your role will involve deep hands-on expertise across the entire AI lifecycle, from data engineering and model development to production deployment and team leadership. Key Responsibilities: - Lead end-to-end GenAI solution development from data preprocessing to production deployment - Design and implement LLM, VLM, RAG, and Agentic AI systems - Build and optimize ML/DL models using modern and core techniques - Apply NLP, Transformers, and prompt engineering for enterprise use cases - Deploy scalable AI solutions using FastAPI/Flask with cl...

As an AI Systems Developer at our company, your role involves developing, training, and deploying AI and Generative AI (GenAI) systems using Python and frameworks like PyTorch. You will be working on large language models (LLMs) such as GPT-4o, Llama, Mixtral, and related SLMs (Phi, Gamma, Triplex). Your responsibilities include implementing prompt engineering, data preprocessing, model fine-tuning, and evaluation pipelines. Additionally, you will be building AI solutions across various domains like NLP, computer vision, deep learning, and other AI applications. It is crucial to utilize MLOps, CI/CD, cloud computing, and containerization for production-ready model deployment. Working with to...

As an AI Lead Developer, you will play a crucial role in spearheading AI projects for international clients, leading a team of developers, collaborating with stakeholders, and driving innovative AI initiatives that deliver real business value. Key Responsibilities: - Lead end-to-end development of AI projects, from conceptualization to deployment, ensuring alignment with project goals and industry best practices. - Collaborate with international clients to understand their business needs and develop effective AI solutions. - Architect scalable and robust AI models and systems, providing technical leadership and mentorship to the development team. - Maintain high code quality standards, docum...

Role Overview: As the Lead Data Scientist at Aventior, you will play a crucial role in driving data-driven decision-making and advancing the organization's AI and analytical capabilities. You will be responsible for leading a team of Data Scientists, AI Engineers, and Data Analysts, collaborating with cross-functional teams, and contributing to the development and implementation of AI and advanced analytics solutions. Your role will involve leading, inspiring, and mentoring the AI and Data Science team to foster a collaborative and innovative work environment. Additionally, you will conduct regular performance assessments and contribute to professional development plans. Key Responsibilities...

Role & responsibilities • At least 5 years of experience designing and implementing artificial intelligence systems. • Strong experience with machine learning, natural language processing, and computer vision technologies. • Proficiency in programming languages such as Python, Java, and C++. • Experience working with cloud computing platforms such as AWS, Azure, or GCP. • Strong analytical and problem-solving skills. • Excellent written and verbal communication skills. • Ability to work independently and as part of a team. • Strong leadership skills and ability to mentor other members of the AI development team. • Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorc...

As a Data Engineer with expertise in Machine Learning, you will apply Machine Learning concepts and techniques to address business challenges. You will leverage your skills to drive informed decision-making in the organization. Your primary responsibilities will include: Develop Machine Learning Solutions: Apply Machine Learning concepts and techniques to address business challenges, interpreting statistical data and identifying relevant features to inform solution development. Evaluate Algorithm Performance: Choose appropriate algorithms and evaluate their performance using relevant metrics, ensuring that solutions meet business needs and drive informed decision-making. Communicate Results:...

Responsibilities Translate business requests into data requirements, extract the required structured and unstructured data and prepare large-scale datasets for modelling Identify high-value use cases through data exploration and visualization Develop AI applications using state-of-the-art (Gen)AI technology Come up with concrete prototypes (MVP) to demonstrate their value to the customer Deploy prototypes to production, with support of Tech enabler team & IT, to obtain reliable, scalable systems Present your results in a clear manner and discuss them with multi-functional project teams Work in close collaboration with business experts (e.g. for requirement gathering, data source identificati...

As a Senior-level Gen AI / AI Engineer, you will be responsible for designing, developing, and deploying innovative AI solutions, focusing on generative AI and RAG architectures. You will play a crucial role in shaping the AI strategy and providing technical leadership. Your key responsibilities will include: - Providing technical guidance and thought leadership on generative AI technologies and their applications. - Mentoring and supporting junior engineers to promote skill development and adherence to best practices. - Collaborating with product leaders and stakeholders to shape AI-driven solutions aligned with business goals. - Developing and fine-tuning state-of-the-art generative AI mod...

As an AI Developer at our company, you will be responsible for developing, training, and deploying AI and Generative AI (GenAI) systems using Python and frameworks like PyTorch. You will work on large language models (LLMs) such as GPT-4o, Llama, Mixtral, and related SLMs (Phi, Gamma, Triplex). Your role will involve implementing prompt engineering, data preprocessing, model fine-tuning, and evaluation pipelines to build AI solutions across various domains including NLP, computer vision, deep learning, and other AI applications. Additionally, you will utilize MLOps, CI/CD, cloud computing, and containerization for production-ready model deployment. You will work with tools like Databricks, S...

Role Overview: You will combine expertise in cybersecurity and AI/ML to design, implement, and maintain security frameworks, ensuring the integrity, confidentiality, and compliance of AI-driven solutions throughout their lifecycle. Your role will involve collaborating with cross-functional stakeholders and AI Engineers to build and deploy an enterprise-wide AI security framework. Key Responsibilities: - Design and maintain structured guidelines and controls to secure AI systems, covering data protection, model security, and compliance requirements. - Evaluate and utilize established frameworks such as Google's Secure AI Framework (SAIF), NIST AI Risk Management Framework, or the Framework fo...

You will join our team that specializes in delivering digital transformation solutions for information extraction from structured and semi-structured documents. The focus will be on working with our Foreseer platform, a human-in-the-loop system that integrates the latest AI/ML technologies with a cutting-edge UI, all within a distributed, cloud-native framework. The team comprises experts proficient in Java, Python, and machine learning. Key Responsibilities: - Develop and implement solutions using Java/J2EE and related frameworks such as Spring, RESTful services, and Spring Boot. - Utilize AI technologies like Generative AI, NLP, or Computer Vision to enhance the platform's capabilities. - ...

Role : Gen AI Engineer Location: AIA-Noida Exp: 3 to 12 years Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models w...

Role Overview: You will be responsible for developing AI/ML and CVML-based solutions for manufacturing, focusing on enabling smart, automated quality assurance within advanced manufacturing environments. Your role will involve contributing to the design, deployment, and optimization of AI-driven inspection systems, leveraging computer vision, machine learning, and edge-based analytics to ensure product integrity and process efficiency. Collaboration with cross-functional teams to integrate intelligent quality solutions into production workflows, support continuous improvement initiatives, and maintain compliance with global quality standards is a key aspect of this position. You will gain ha...