Inventory Control Supervisor Jobs

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Senior Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Design, develop, and implement recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 3+ years of industry experience building production Machine Learning systems BS, MSc, or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine learning pipelines: data e

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

About the Role The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a VP / Director of Machine Learning Engineering to lead and build a high-performing team while staying close to the technical work. This is a hands-on leadership role: you will set the strategic direction for our recommendation, personalization, and ads optimization systems, including recommendation foundation modeling, and you will stay in the algorithms and the code, conducting deep dives into modeling components and guiding the hardest technical decisions yourself. You will tackle complex machine learning problems at scale and partner closely with cross-functional teams to ship solutions that measurably improve how hundreds of millions of viewers experience Tubi. What You’ll Do Lead, build, and grow a high-performing ML engineering team, fostering a culture of technical excellence, ownership, and rapid iteration. Define and drive the ML strategy and long-term technical roadmap for recommendation, personalization, and ads optimization, including recommendation foundation modeling, identifying opportunities for ML to shape Tubi’s broader product and business strategy. Stay hands-on: conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across regions and product areas. Lead the design, development, and implementation of advanced recommendation systems and algorithms, contributing directly to the most challenging technical problems. Build and deploy robust, full-stack ML pipelines: data extraction, feature development, model training, testing, deployment, and serving. Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a Director of Machine Learning Engineering and Infrastructure to lead a hybrid team bridging advanced ML engineering with world-class infrastructure design. In this role, you will own the strategic direction and execution for scaling our machine learning capabilities while ensuring our distributed systems and infrastructure can support innovation at massive scale. You will combine technical depth with leadership excellence to guide teams that deliver both foundational ML systems and high-performance distributed services. This is a hybrid role for our Toronto office. What You'll Do: Lead and manage high-performing teams across ML engineering and ML infrastructure, fostering a culture of innovation, collaboration, and growth. Define and execute the strategic roadmap for ML systems, including recommendation, personalization, and ads optimization. Oversee the design, development, and deployment of scalable ML pipelines: data ingestion, feature engineering, model training, evaluation, and serving. Architect distributed systems to support ML workloads at scale, ensuring reliability, observability, and operational excellence. Partner closely with Product, Engineering, and Content teams to align on business goals and deliver impactful ML-driven experiences. Support best practices in experimentation, evaluation, and ML system monitoring. Ensure cost efficiency, scalability, and performance in ML infrastructure investments. Your Background: 10+ years of industry experience spanning machine learning engineering and distributed systems. 3+ years of leadership and management experience, with a proven ability to build and lead strong t

Roles & Responsibilities ? Actively participate in Brand development/ Range/Product development through analytics-based insights. ? Work in close coordination with the Planning and Pricing team for optimizing Scale / Inventory / OTB / Capacities etc. ? Management of OIs / POs / Inwards , Cataloguing and driving and improvising the processes. ? Increase sales and profitability of business to drive sustainable growth ? Manage relationships with brand partners and establish Myntra as the preferred destination for customers as well as brand partners. ? Scaling the brands on the platform with continuous work across selection, catalogue, marketing etc. ? Identify white spaces in the portfolio and onboard/develop potential brands to fill the gap ? Manage On App Category visibility planning ? Analyze data and reports from various sources, Responsible for creating and maintaining, consolidating various reports ? Operational excellence - Candidate should have prior experience or enough knowledge to manage day to day operational issues effectively related to cataloging, pricing, merchandising and discount monitoring. ? Stay updated on industry trends and market competitions in Kids wear profile. ? Collaborating with cataloguing team to get products shoot, content creation and right information of the product being shared and improvising on processes to constantly improve customer experience. ? Undertake special projects time to time for overall Category business / experience impact. Qualifications & Experience ? Demonstrated ability to work autonomously in a highly demanding and ambiguous environment. ? Strong attention to detail and exceptional organizational skills. ? Strong analytical and numbers acumen and be comfortable generating and evaluating forecasts, metrics. ? Work closely with various departments within the company to ensure that all consumer touch points and messaging are working and measured harmoniously. ? Sales, fashion or vendor management background.

Roles and Responsibilities. ? Actively participate in Brand development/ Range/Product development through analytics-based insights. New Vendor onboarding. ? Work in close coordination with the Planning and Pricing team for optimizing Scale / Inventory / OTB / Capacities etc. ? Inventory Ops. - Ensuring that brands deliver as per slot dates sharing packing slips in the right format, in warding and GRN within acceptable timelines, RO / Q1 Non Live / RTV for Q2Q3 with the right documentation. ? Management of OIs / POs / Inwards , Cataloguing and driving and improvising the processes. ? Collaborating with cataloguing team to get products shoot, content creation and right information of the product being shared and improvising on processes to constantly improve customer experience. ? Undertake special projects time to time for overall Category business / experience impact. Qualifications & Experience ? Demonstrated ability to work autonomously in a highly demanding and ambiguous environment. ? Strong attention to detail and exceptional organizational skills. ? Strong analytical and numbers acumen and be comfortable generating and evaluating forecasts, metrics. ? Work closely with various departments within the company to ensure that all consumer touch points and messaging are working and measured harmoniously. ? Sales, fashion or vendor management background. ? Good written and verbal communication skills. ? Basic excel. ? Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines

Food Preparation Chop slice measure and assemble ingredients (mise en place) for daily service.Cooking & Plating Cook dishes according to precise recipes and plating standards.Station Management Keep the assigned work area clean organized and sanitary.Inventory & Stock Monitor stock levels handle deliveries and rotate food items to reduce waste.Team Support Guide junior helpers communicate clearly during peak hours and assist senior chefs. Address: Google Mtech - FS Hyd Survey No 116 117 119 128/AA and 129 Road No 2HyderabadTSINDIA500032 Facility: GOOGLE INDIA_FS HYD_SALARPURIA_CORE Qualification: Not Specified Experience: 4 - 6 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP574616

Chop slice measure and assemble ingredients (mise en place) for daily service.Cooking & Plating Cook dishes according to precise recipes and plating standards.Station Management Keep the assigned work area clean organized and sanitary.Inventory & Stock Monitor stock levels handle deliveries and rotate food items to reduce waste.Team Support Guide junior helpers communicate clearly during peak hours and assist senior chefs. Address: Google Mtech - FS Hyd Survey No 116 117 119 128/AA and 129 Road No 2HyderabadTSINDIA500032 Facility: GOOGLE INDIA_FS HYD_SALARPURIA_CORE Qualification: Not Specified Experience: 4 - 8 years Source: Sodexo India | Job Code: IJP574623

This role is responsible for ensuring high equipment availability and reliability through tracking and reducing failure rates, performing calibration and vibration analysis, and maintaining the Auto Coal Sampler Unit. This role requires effective inventory management, focusing on inventory of critical spare parts and reducing non-moving items, while also contributing to budget planning to optimize costs. Source: Adani Group | Job ID: 57441

This role is responsible for ensuring high equipment availability and reliability through tracking and reducing failure rates, performing calibration and vibration analysis, and maintaining the Auto Coal Sampler Unit. This role requires effective inventory management, focusing on inventory of critical spare parts and reducing non-moving items, while also contributing to budget planning to optimize costs. Source: Adani Group | Job ID: 57443

To drive organisation wide Business Process Transformation - DISHA sustenance and other improvement initiative and requires in-depth knowledge of Process Flow, Performance Indicators, Problem Solving and Process Improvement tools, Data Analytics , CBM,Inventory Management Source: Adani Group | Job ID: 57657

This role is responsible for ensuring high equipment availability and reliability through tracking and reducing failure rates, performing calibration and vibration analysis, and maintaining the Auto Coal Sampler Unit. This role requires effective inventory management, focusing on inventory of critical spare parts and reducing non-moving items, while also contributing to budget planning to optimize costs. Source: Adani Group | Job ID: 57823

This role is responsible for ensuring high equipment availability and reliability through tracking and reducing failure rates, performing calibration and vibration analysis, and maintaining the Auto Coal Sampler Unit. This role requires effective inventory management, focusing on inventory of critical spare parts and reducing non-moving items, while also contributing to budget planning to optimize costs. Source: Adani Group | Job ID: 57433

We are looking for a Sales Administrator in a pharma company who supports the sales force by processing orders, managing field force documentation, preparing MIS sales reports, and tracking inventory . They act as a liaison between sales, manufacturing / supply chain, and customers to ensure smooth order execution . Key Responsibilities :- 1.) Providing support to the sales team for proposal building 2.) Cold calling prospective clients to initiate sales opportunities 3.) Handling the quotations proposals, and payments 4.) Handling customer queries as per the product information required, submitting quotations & follow ups 5.) Co-ordination with field engineers and customers Skills & Software Knowledge :- 1.) Freshers or Experienced both are welcome 2.) Good written and verbal communication skills 3.) Strong organizational skills with the ability to multi - task 4.) Good time management skills and the ability to prioritize work 5.) Sound knowledge of ERP software & Excel Job Title :- Sales Admininstrator Location :- Goregaon East Job Type :- Full Time Experience :- 1-2 years Education :- B.Com, B.Pharm, B.Sc

We are looking for a Junior Inside Sales Co-Ordinator in a pharma company who supports sales force by processing orders, managing field force documentation, preparing MIS sales reports, and tracking inventory . They act as a liaison between sales, manufacturing / supply chain, and customers to ensure smooth order execution . Key Responsibilities :- 1.) Providing support to the sales team for proposal building 2.) Cold calling prospective clients to initiate sales opportunities 3.) Handling the quotations proposals, and payments 4.) Handling customer queries as per the product information required, submitting quotations & follow ups 5.) Co-ordination with field engineers and customers Skills & Software Knowledge:- 1.)Freshers or Experienced both are welcome 2.)Good written and verbal communication skills 3.)Strong organizational skills and the ability to prioritize work 4.) Sound knowledge of ERP software & Excel Job Title :- Junior Inside Sales Co-Ordinator Location :- Goregaon East Job Type :- Full Time Salary :- 15000 - 22000 Experience :- 1-2 years