Hyderabad, Telangana, India
None Not disclosed
Remote
Contractual
๐๐จ๐ ๐๐ข๐ญ๐ฅ๐: ๐๐๐ง๐ข๐จ๐ซ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐ฌ๐ฌ๐จ๐๐ข๐๐ญ๐ (๐๐จ๐ฆ๐ฉ๐ฎ๐ญ๐๐ซ ๐๐ข๐ฌ๐ข๐จ๐ง) โ ๐๐๐ฆ๐จ๐ญ๐ (๐๐ง๐๐ข๐) Location: Remote (Bengaluru, Hyderabad, Chennai) Engagement Type: Long-Term Contract Start Date: ASAP Work Hours: Overlap with EST time zone Dual Employment: Not permitted ๐๐๐จ๐ฎ๐ญ ๐ญ๐ก๐ ๐๐จ๐ฅ๐: KheyDigit Global Solutions Pvt Ltd is seeking a Senior Machine Learning Associate with deep expertise in Computer Vision to support an international pharmaceutical manufacturing project. This role involves building, optimizing, and deploying AI/ML models that enable automated drug manufacturing line clearance using real-time camera feeds and anomaly detection via AWS infrastructure.You will be part of a global team and collaborate directly with international clients. This is a 100% remote opportunity with long-term growth potential. ๐๐๐ฒ ๐๐๐ฌ๐ฉ๐จ๐ง๐ฌ๐ข๐๐ข๐ฅ๐ข๐ญ๐ข๐๐ฌ: 1. Design, develop, and deploy computer vision models using AWS SageMaker. 2. Work on edge computing solutions using AWS Greengrass. 3. Support integration and optimization of models on Nvidia Triton GPU infrastructure. 4. Analyze HD camera feeds to detect anomalies in drug manufacturing line operations. 5. Build and train models to understand โnormalโ production line behavior and identify deviations. 6. Troubleshoot and enhance real-time AI/ML applications in a live production environment. 7. Collaborate with global technical and product teams; communicate fluently in English. 8. Remain adaptable and solution-oriented in a fast-paced, agile setup. ๐๐๐ช๐ฎ๐ข๐ซ๐๐ ๐๐ค๐ข๐ฅ๐ฅ๐ฌ & ๐๐ฑ๐ฉ๐๐ซ๐ข๐๐ง๐๐: *5+ years of experience in Machine Learning, with a strong focus on Computer Vision. *Expert-level experience in AWS SageMaker and AWS Greengrass. *Experience in deploying models on GPU-based infrastructures such as Nvidia Triton. *Strong problem-solving skills with the ability to debug complex model and deployment issues *Excellent communication skills in English, able to work independently with international stakeholders. *Prior experience working in regulated or manufacturing environments is a plus. *Exposure to AI/ML use cases in Pharmaceutical or Manufacturing sectors. *Familiarity with model versioning, CI/CD pipelines, and MLOps practices. *Understanding of camera-based systems or computer vision libraries like OpenCV, PyTorch, or TensorFlow. ๐๐ง๐ญ๐๐ซ๐ฏ๐ข๐๐ฐ ๐๐ซ๐จ๐๐๐ฌ๐ฌ: 15-minute HR Screening Technical Interview(s) with 1โ2 client representatives
Greater Hyderabad Area
None Not disclosed
Remote
Contractual
Job Title: Senior Machine Learning Associate (Computer Vision) โ Remote (India) Location: Remote (India) Engagement Type: Long-Term Contract Start Date: ASAP Work Hours: Overlap with EST time zone Dual Employment: Not permitted About the Role: KheyDigit Global Solutions Pvt Ltd is seeking a Senior Machine Learning Associate with deep expertise in Computer Vision to support an international pharmaceutical manufacturing project. This role involves building, optimizing, and deploying AI/ML models that enable automated drug manufacturing line clearance using real-time camera feeds and anomaly detection via AWS infrastructure.You will be part of a global team and collaborate directly with international clients. This is a 100% remote opportunity with long-term growth potential. Key Responsibilities: Design, develop, and deploy computer vision models using AWS SageMaker. Work on edge computing solutions using AWS Greengrass. Support integration and optimization of models on Nvidia Triton GPU infrastructure. Analyze HD camera feeds to detect anomalies in drug manufacturing line operations. Build and train models to understand โnormalโ production line behavior and identify deviations. Troubleshoot and enhance real-time AI/ML applications in a live production environment. Collaborate with global technical and product teams; communicate fluently in English. Remain adaptable and solution-oriented in a fast-paced, agile setup. Required Skills & Experience: 5+ years of experience in Machine Learning, with a strong focus on Computer Vision. Expert-level experience in AWS SageMaker and AWS Greengrass. Experience in deploying models on GPU-based infrastructures such as Nvidia Triton. Strong problem-solving skills with the ability to debug complex model and deployment issues Excellent communication skills in English, able to work independently with international stakeholders. Prior experience working in regulated or manufacturing environments is a plus. Exposure to AI/ML use cases in Pharmaceutical or Manufacturing sectors. Familiarity with model versioning, CI/CD pipelines, and MLOps practices. Understanding of camera-based systems or computer vision libraries like OpenCV, PyTorch, or TensorFlow. Interview Process: 15-minute HR Screening Technical Interview(s) with 1โ2 client representatives Why Join Us: Global exposure and collaboration with international teams Long-term remote engagement with flexible working Opportunity to contribute to impactful AI-driven solutions in drug manufacturing Transparent and professional work culture
India
None Not disclosed
Remote
Contractual
Job Title : Snowflake Matillion Architect Location : Remote (Only from India) Employment Type : Long-Term Contract Start Date : ASAP Working Hours : Daily overlap with CET Dual Employment : Strictly not permitted; any such engagements must be terminated before onboarding. About the Role We are looking for an 8-10 years experienced and certified Snowflake Architect to join our international team. As a senior resource, you will play a critical role in designing and implementing robust, scalable, and secure data architecture solutions. This is a hands-on architecture position, ideal for someone with deep technical knowledge of Snowflake and Matillion, and a strong foundation in data modeling and analytics. The role requires collaboration with cross-functional teams and global stakeholders to understand business needs and transform them into effective technical solutions. Key Responsibilities Lead the design and development of enterprise-level data architecture using Snowflake. Define and implement best practices for data modeling, data integration, and performance tuning. Develop and maintain scalable ETL/ELT pipelines using Matillion. Collaborate with business and technical stakeholders to understand data needs and deliver robust solutions. Ensure data security, governance, and compliance best practices are integrated into architecture. Contribute to the continuous improvement of data architecture frameworks and methodologies. Provide expert-level troubleshooting and performance optimization support. Mentor junior data engineers or developers as needed. Minimum Qualifications & Requirements 5+ years of proven experience as a Data Architect or in a similar technical leadership role. Expert-level proficiency in Snowflake , with a Snowflake Advanced Data Architect Certification . Strong experience in ETL/ELT development using Matillion , with Matillion certification . Solid understanding and hands-on experience in data modeling techniques (star schema, snowflake schema, normalization, etc.). Advanced knowledge of data analytics and business intelligence processes. Proficiency in working with large-scale datasets and optimizing data pipelines. Excellent verbal and written communication skills in English โyou will be interacting directly with an international client base. Ability to work independently and deliver high-quality results in a fully remote setting. Technology Stack Primary Technology : Snowflake (Expert) Secondary Technology : Matillion Skill Areas : Data Management & Analytics Data Modeling ETL/ELT Design Performance Tuning and Optimization Soft Skills Required Fluent English communication (both written and verbal) Ability to effectively present and explain complex data architectures to non-technical stakeholders Strong analytical and problem-solving skills Self-motivated and disciplined to work remotely with international teams Collaborative attitude and a consultative approach Interview Process Initial Screening : 15-minute HR conversation Technical Assessment : May include a practical test or case study Client Interview : Technical deep-dive with one or two client-side stakeholders
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