Immediate Start: AI/ML

7 days ago

Chennai, India ACL Digital Full time

Responsibilities - 100% hands-on Experience is a must in development and deployment of production-level AI models at enterprise scale. (Build Vs Buy Decision Maker) - Drive innovation in AI/ML applications across various business domains and modalities (vision, language, audio). - Knowledge of Best practices in AI/ML, MLOps, DevOps, and CI/CD for AI/ML projects. - Continuously identify and evaluate emerging tools and technologies in the AI/ML space for potential adoption. Qualifications - Overall 5 to 7 years of experience, out of which in 4+ in AI, ML and Gen AI and related technologies. - Proven track record of leading and scaling AI/ML teams and initiatives. - Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications. - Expertise in ML frameworks such as PyTorch and/or TensorFlow. - Experience with ONNX runtime, model optimization and hyperparameter tuning. - Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices - DevOps/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack. - Experience in production-level deployment of AI models at enterprise scale. - Proficiency in data preprocessing, feature engineering, and large-scale data handling. - Expertise in image and video processing, object detection, image segmentation, and related CV tasks. - Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications. - Experience with speech recognition, audio classification, and general signal processing techniques. - Experience with RAG, VectorDB, GraphDB and Knowledge Graphs. - Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI).

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