AI/ML Engineer

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Pythian

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1997

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

<Pythian> Pythian is a global consulting firm specializing in data, analytics, cloud, and AI solutions. With decades of experience and a large team of domain experts, they provide strategy, custom AI development, advanced analytics, database and cloud consulting, migrations, and managed services (including AIOps and DBA services) to enterprise customers across industries. Pythian focuses on helping organizations modernize their data platforms, deploy generative AI use cases, and optimize cloud and database operations through partnerships with major cloud and data technology providers.

📋 Description

• Develop, deploy, and maintain robust AI and machine learning pipelines for internal and client-driven projects • Deploy, manage, and scale pre-trained and custom AI/ML models in production environments • Work with data scientists to implement model prototypes into scalable, production-ready AI systems • Optimize and tune model performance, latency, and cost-efficiency on cloud platforms • Integrate AI/ML solutions with AWS, GCP, and Azure • Use Docker and Kubernetes for consistent deployment • Apply MLOps practices, including CI/CD, model versioning, monitoring, and maintenance systems • Coordinate with software engineering teams to integrate AI capabilities into applications and user workflows • Stay current with AI/ML, Generative AI, and MLOps deployment advancements

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related quantitative field • 4 to 5 years of progressive experience in machine learning engineering, software development with an ML/AI focus, or a related role • Strong programming skills in Python • Proficiency in TensorFlow, PyTorch, or Scikit-learn • Hands-on experience deploying and working with pre-trained models, including Large Language Models (LLMs) or similar Generative AI technologies, in production environments • Solid experience with AWS, GCP, or Azure • Experience with Docker and Kubernetes container orchestration • In-depth knowledge of Data Engineering principles and ETL/ELT processes • Experience with version control systems such as Git • Experience orchestrating Machine Learning pipelines using Kubeflow or managed cloud services • Experience building and optimizing scalable AI/ML systems • Familiarity with MLOps best practices, including model monitoring, logging, and CI/CD pipelines for AI assets • Strong communication and teamwork skills • Ability to work effectively across cross-functional teams, including solution architects and data scientists • Successful applicant must fulfill requirements necessary to obtain a background check

🏖️ Benefits

• Competitive total rewards package • Blog during work hours • Day off to volunteer for your favorite charity • Flexible remote work from home with no daily travel requirement to an office • Substantial training allowance • Professional development days • Training and certification opportunities • Equipment for working from home, including a laptop with choice of OS • Annual budget to personalize your work environment • Annual wellness budget • Paid vacation days • Paid sick days