5 Production Experience Jobs

The Slitting & Coating Operator position at Certoplast India Pvt Ltd in Loni - Pune is a full-time on-site role that involves operating and maintaining slitting and coating machinery. Your responsibilities will include preparing materials for processing, monitoring production processes, and ensuring quality control throughout the production cycle. In addition, you will be expected to troubleshoot any issues that arise during production and perform routine maintenance tasks to keep the machinery running efficiently. To excel in this role, you should have experience in operating slitting and coating machinery, a strong understanding of quality control processes, basic mechanical and troubleshooting skills, and the ability to perform routine maintenance tasks. Attention to detail and accuracy are essential, along with a commitment to safety protocols and procedures. Prior experience in a manufacturing or production environment is preferred, and a high school diploma or equivalent is required. Technical training is considered a plus, and the ability to work collaboratively in a team environment is important.,

You will be responsible for maintaining shoot schedules and team assignments, coordinating vendor, crew, and freelancer tasks, tracking project timelines and task statuses, as well as assisting in shoot logistics and studio readiness. Strong organizational and communication skills are required for this role. Prior experience in production or edtech is a plus. It is essential to have a solid understanding of relevant AI tools such as ChatGPT, Claude, etc., with the ability to use them for improving tracking and productivity. This is a full-time position that requires proactive Operations Executives to assist with planning, tracking, and logistics for content production.,

As a Senior Data Scientist with 5+ years of experience, you will play a crucial role in our team based in Indore/Pune. Your responsibilities will involve designing and implementing models, extracting insights from data, and interpreting complex data structures to facilitate business decision-making. You should have a strong background in Machine Learning areas such as Natural Language Processing, Machine Vision, Time Series, etc. Your expertise should extend to Model Tuning, Model Validation, Supervised and Unsupervised Learning. Additionally, hands-on experience with model development, data preparation, and deployment of models for training and inference is essential. Proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis and exploration are key skills required for this role. You should be adept at developing code that enables reproducible data analysis. Familiarity with AWS services like Sagemaker, Lambda, Glue, Step Functions, and EC2 is expected. Knowledge of data science code development and deployment IDEs such as Databricks, Anaconda distribution, and similar tools is essential. You should also possess expertise in ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis. Your skills should include proficiency in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. Experience with end-to-end model deployment and production for at least 1 year is required. Familiarity with Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker is preferred. Basic knowledge of deep learning algorithms like MaskedCNN, YOLO, and visualization and analytics/reporting tools such as Power BI, Tableau, Alteryx would be advantageous for this role.,

About ALLEN Digital: At ALLEN Digital, we lead a technology-driven approach to education, harnessing top-tier tech talent from leading technology firms. Our strategic partnership with Bodhi Tree Systems, a prominent venture capital firm renowned for developing and scaling tech-first brands, is reshaping education through a tech-first lens. We tackle two key challenges in the current education landscape: the necessity for a greater focus on holistic learning and the move away from a one-size-fits-all methodology. By harnessing the power of AI, we are creating an innovative ed-tech platform to offer students a comprehensive end-to-end learning journey. Our objective is to revolutionize education by delivering personalized learning experiences that go beyond traditional classrooms, catering to individual learning requirements and driving substantial enhancements in learning outcomes. Role Overview: We are seeking proactive Operations Executives to support in planning, monitoring, and managing logistics for content production. Responsibilities: - Maintain shoot schedules and team assignments - Coordinate tasks for vendors, crew members, and freelancers - Monitor project timelines and task progress - Assist in organizing shoot logistics and ensuring studio preparedness Requirements: - Strong organizational and communication abilities - Previous experience in production or edtech is advantageous - Proficient in relevant AI tools such as ChatGPT, Claude, etc., and ability to utilize them effectively for enhancing tracking and productivity is crucial.,

As a Senior Data Scientist with 5+ years of experience, you will be responsible for designing and implementing models, mining data for insights, and interpreting complex data structures to drive business decision-making. Your expertise in machine learning, including areas such as NLP, Machine vision, and Time series, will be essential in this role. You will be expected to have strong skills in Model Tuning, Model Validation, Supervised and Unsupervised Learning, and hands-on experience with model development, data preparation, training, and inference-ready deployment of models. Your proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis will help in developing code for reproducible analysis of data. Experience with AWS services like Sagemaker, Lambda, Glue, Step functions, and EC2 is necessary, along with knowledge of Databricks, Anaconda distribution, and similar data science code development and deployment IDEs. Your familiarity with ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis will be highly valued. You should have expertise in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. End-to-end model deployment and production experience of at least 1 year is required, along with a good understanding of Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker. Basic knowledge of deep learning algorithms such as MaskedCNN, YOLO, and familiarity with Visualization and analytics/Reporting Tools like Power BI, Tableau, and Alteryx will be considered advantageous for this role.,