3 Dvc Jobs

We are looking for Indias top 1% Computer Vision Engineers for a unique job opportunity to work with the industry leaders Who can be a part of the community? We are looking for top-tier Computer Vision (CV) Engineers with expertise in image/video processing, object detection, and generative AI If you have experience in this field then this is your chance to collaborate with industry leaders Whats in it for you? Pay above market standards The role is going to be contract based with project timelines from 2 12 months, or freelancing Be a part of an Elite Community of professionals who can solve complex AI challenges Work location could be: Remote (Highly likely) Onsite on client location Deccan AIs Office: Hyderabad or Bangalore Responsibilities: Develop and optimize computer vision models for tasks like object detection, image segmentation, and multi-object tracking Lead research on novel techniques using deep learning frameworks (TensorFlow, PyTorch, JAX) Build efficient computer vision pipelines and optimize models for real-time performance Deploy models using microservices (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure) Lead MLOps practices, including CI/CD pipelines, model versioning, and training optimizations Required Skills: Expert in Python, OpenCV, NumPy, and deep learning architectures (eg, ViTs, YOLO, Mask R-CNN) Strong knowledge in computer vision fundamentals, including feature extraction and multi-view geometry with experience in deploying and optimizing models with TensorRT, Open VINO, and cloud/edge solutions Proficient with MLOps tools (ML flow, DVC), CI/CD, and distributed training frameworks Experience in 3D vision, AR/VR, or LiDAR processing is a plus Nice to Have: Experience with multi-camera vision systems, LiDAR, sensor fusion, and reinforcement learning for vision tasks Exposure to generative AI models (eg, Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask) Research publications or patents in computer vision and deep learning Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Job Requirements Education: Bachelors degree (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Masters degree preferred (MBA/MS/M.Tech in Computer Science or related field) Experience: 5–7 years in a Data Science/Advanced Analytics role Behavioral Skills: Delivery Excellence Business Orientation Social Intelligence Innovation and Agility Knowledge & Technical Skills: Functional analytics experience (Supply Chain, Marketing, Customer Analytics, etc.) Statistical modeling using tools such as R, Python, KNIME Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Experience building and evaluating machine learning models MLOps tools and practices (MLflow, DVC, Docker, etc.) Strong Python programming (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Experience with big data technologies (AWS, Azure, GCP, Hadoop, Spark) Familiarity with relational (MySQL, SQL Server) and non-relational (MongoDB, DynamoDB) databases BI and reporting tools (Power BI, Tableau, Alteryx) Proficiency with Microsoft Office applications (especially Excel) Roles & Responsibilities Analytics & Strategy: Analyze large-scale structured and unstructured data to develop insights and machine learning models across various business domains Apply statistical and machine learning techniques to generate value from operational, financial, and customer data Recommend best-fit algorithms and models with clear justifications for business use Leverage cloud platforms for modeling and big data analysis; utilize data visualization tools to communicate results Operational Excellence: Follow industry-standard coding practices and development lifecycles Formulate hypotheses, develop analytics frameworks, and bring structure to complex problems Collaborate with Data Engineering to maintain core data infrastructure and automate analytical processes Stakeholder Engagement: Work cross-functionally with business stakeholders, engineers, and visualization experts to deliver impactful projects Communicate complex models and results to non-technical stakeholders in a clear and compelling way

JOB DESCRIPTION Designation: ML Operations Engineer Location: Hyderabad, India Work Mode: Office Reporting to: Principal Data Scientist Job Overview: At Foundation AI, As an ML Operations Engineer, you will design, develop, and maintain machine learning pipelines. You will work with structured and unstructured data. Your primary responsibility is to streamline the data science pipeline by automating the steps from Data gathering to Model deployment. Lifelong learning is crucial for long-term success, and we encourage you to stay current with the latest research by visiting conferences and sharing your knowledge throughout the enterprise. Responsibilities: You take responsibility for setting up maintainable and reliable ML pipelines on which our data scientists train the models. As part of an agile team, your ideas will be heard and impact the decision-making process. With our goal to invent for life, you will work on solutions that are both innovative and ethical. You will collaborate with ML engineers, data scientists, software developers, and DevOps engineers to have a real-world impact. Optimize the cost and latency of the services in production. Deploy the machine learning models in a scalable manner by utilizing the model-serving tools Skills and Tools: 3+ years of experience with Python, Linux skills, and machine learning principles 3+ years of experience in building and operating ML pipelines and data platforms in production 3+ years of experience in API design, distributed architectures, and orchestration of microservices Experience with container-based deployments (e.g. Docker, Kubernetes) Experience deploying deep learning models to a production environment Model lifecycle management (e.g. MLflow, KubeFlow) - 2+ years of experience in Workflow automation (e.g. Airflow) - 2+ years of experience in Version control of model files (like DVC) - 2+ years of experience in Exposure to Deep Learning frameworks, such as PyTorch, TensorFlow, etc - 2+ years of experience Experience working with the Cloud (AWS, Azure, GCP, etc.) - 2+ years of experience Personality and Working Practice: motivating attitude, profound communication, strong interpersonal skills, structured and analytical Experience in using Serving tools (RayServe, KServe) - 1 year(s) experience Experience in building and maintaining LLM pipelines - 1 year(s) experience Education: Bachelor's degree in Computer Science, Engineering, related field, or equivalent work experience. Our Commitment: At Foundation AI, we're committed to creating an inclusive and diverse workplace. We value equal opportunity and affirmative action principles, giving everyone an equal chance to succeed. We're dedicated to offering equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. Upholding these values and adhering to applicable laws is paramount to us. For any feedback or inquiries, please contact us at careers@foundationai.com Learn more about us at www.foundationai.com