16,125 machine learning engineer remote jobs in India.

... talent. Relay helps its clients in majorly following areas: Accounting & Finance, Administration, Operations, Space Planning, Leasing, Data Science, Data Search, Machine Learning and Artificial Intelligence etc. The Marketo Specialist is responsible for supporting the setup, execution, and ongoing management of the Marketo marketing ...

... talented and motivated Data Scientist to join our team. The ideal candidate will have 2-5 years of hands-on experience in the development and deployment of Machine Learning (ML) projects. Exposure to Computer Vision and Natural Language Processing (NLP), especially Large Language Models (LLMs), will be a significant advantage. ...

... industries in their decarbonization efforts. Our goal is to help customers adapt and succeed in the rapidly evolving global energy transition. Leveraging data, machine learning, and artificial intelligence (AI), the division brings over 50 years of domain experience to deliver solutions that improve energy, process, and production ...

... deliveries, non-compliant products, or project services. Working together with buyers to engage suppliers and prepare claims cases when necessary. BE Mechanical Engineering with experience of 5 to 6 years in Quality. Skill Sigma Green belt, 8D / RCA Analysis with resolution. Strong manufacturing process experience in forging, ...

... Engineer with strong Azure cloud competencies to join our dynamic https://jobeax.com/link/V9v5V1Tltw2JcjY6 Responsibilities : 1. Architecture and Design for Data Engineering and Machine Learning Projects : - Establishing architecture and target design for data engineering and machine learning projects.2. Requirement Analysis, ...

... Engineer with strong Azure cloud competencies to join our dynamic https://jobeax.com/link/V9v5V1Tltw2JcjY6 Responsibilities : 1. Architecture and Design for Data Engineering and Machine Learning Projects : - Establishing architecture and target design for data engineering and machine learning projects.2. Requirement Analysis, ...

Intern- Learning Intern ROLE DESCRIPTION SUMMARY We are looking for a motivated and curious intern to join our Learning & Development (L&D) team in Luxembourg. This is a great opportunity to gain hands-on experience in building a modern, skills-based organization and supporting global learning initiatives in a dynamic, ...

Flexible hours

... quantitative field, backed by 3 to 6 years of hands-on experience in software engineering or machine learning roles.- Proven ability to thrive in a fast-paced, iterative environment, demonstrating the self-discipline and adaptability required to manage complex projects independently while working remotely. (ref:hirist.tech)

... quantitative field, backed by 3 to 6 years of hands-on experience in software engineering or machine learning roles.- Proven ability to thrive in a fast-paced, iterative environment, demonstrating the self-discipline and adaptability required to manage complex projects independently while working remotely. (ref:hirist.tech)

Role Overview : As a Principal Engineer (SDE-4), you will serve as the technical architect and visionary for our core backend systems, bridging the gap between high-scale distributed computing and advanced machine learning deployment. You will work closely with product leadership, data scientists, and cross-functional engineering ...

... time-to-market for complex hardware https://jobeax.com/link/r5svwtV1IfXO2Wgd Skillset:- Demonstrated expertise in Python-based development, with a strong command of Machine Learning and Deep Learning frameworks to solve complex engineering problems.- Proven ability to manage large-scale data ecosystems, including Hadoop, Kafka, ...

... Skillful in writing secure, stable, testable, and maintainable code with minimal defects Proven in software development, with a focus on platform or service engineering Skillful in software engineering practices & standard methodologies for full SDLC including coding standards, code reviews, source control management, continuous ...

Mid-Level Laravel Engineer Bryanston, Johannesburg, South Africa | Full-time | Mid-level | Hybrid Office days: Monday & Friday | 2 days per week About the Role Build reliable backend systems, ship scalable features, and solve meaningful engineering challenges. We are looking for a Mid-Level Laravel Engineer to join a Development/TechOps ...

... defects, and quality metrics using tools such as Azure DevOps or JIRA, ensuring complete defect follow-through and transparency. Mentor and support junior QA engineers, promoting best practices in software testing, quality assurance, and fostering a culture of continuous learning and improvement. Key Skills & Experience Experience ...

... Big Data & Streaming Work with distributed systems like Apache Spark, Kafka, or Flink for real-time and large-scale data processing. Manage feature stores for machine learning pipelines. Work closely with Data Scientists and ML Engineers to ensure high-quality training data. Implement data quality checks, observability, and ...

... product teams to iterate on model performance, ensuring that AI-driven features meet rigorous quality standards and business KPIs.- Deploy production-ready machine learning models, ensuring seamless integration with existing cloud infrastructure to maximize system reliability and https://jobeax.com/link/aoRNCOopJNX32IYo ...

... mission travel. •Ensure travel processes comply with CIMMYT/BISA travel policies, authorisation procedures, and safety protocols — particularly for field and remote-location travel. •Manage facilities across BISA research stations and CIMMYT India offices, including office space, staff accommodation, utilities, use of office ...

... such as messaging, scheduling, data The app incorporates a shared data/network layer via Kotlin Multiplatform. This is a mid-level role. About The Project The engineer will join an established mobile team working across iOS and Android platforms, reporting to an Engineering Manager. ~ concurrency, and Core Data. Develop intuitive ...

... design technical tasks, establish reliable evaluation criteria, and develop reference implementations that allow AI systems to be measured against real-world engineering standards. AI or machine learning experience is not required . Your expertise in software development, debugging, architecture, performance, and code quality ...