AI/ML Engineer

Job not on LinkedIn

🔥 27 minutes ago

🇮🇳 India – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.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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ISHIR

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1999

🤝 B2B

🏢 Enterprise

💼 Consulting

B2B • Enterprise • Consulting

ISHIR is a technology services company that provides custom software development, IT staffing/staff augmentation, and digital engineering services to enterprise and business clients. They work with organizations to build web and mobile applications, enterprise systems, and provide ongoing development and support; their client-facing model is B2B and focused on enterprise-grade solutions and consulting services.

📋 Description

• Design, develop, train, fine-tune, and evaluate machine learning and LLM-based solutions • Build and maintain end-to-end ML/AI pipelines covering data ingestion, processing, model development, inference, deployment, and monitoring • Develop and implement Generative AI applications, including LLM-powered solutions and RAG-based systems • Apply prompt engineering, context engineering, and LLM fine-tuning techniques to improve model performance and reliability • Design and implement solutions using vector databases, embeddings, and RAG architectures • Collaborate with Solution Architects, Data Scientists, and engineering teams to translate business requirements into scalable AI/ML solutions • Optimize models and AI applications for accuracy, latency, scalability, and cost efficiency • Implement model evaluation, guardrails, observability, and monitoring for production AI/ML systems • Follow MLOps best practices, including model versioning, CI/CD, deployment automation, and model lifecycle management • Stay current with developments in Generative AI, LLMs, AI engineering, and machine learning technologies

🎯 Requirements

• 3–6 years of hands-on experience in Machine Learning Engineering or a closely related role • Strong proficiency in Python • Experience with PyTorch, TensorFlow, and scikit-learn • Hands-on experience with Generative AI and LLM-based applications • Experience with LLM fine-tuning, prompt engineering, and context engineering • Strong understanding of RAG architectures, embeddings, vector databases, and semantic search • Experience building and deploying production-grade ML/AI pipelines • Working knowledge of MLOps practices, including model versioning and CI/CD for machine learning workloads • Experience with at least one major cloud-based ML platform: AWS SageMaker, Azure Machine Learning, or Google Cloud Vertex AI • Strong understanding of model evaluation, performance optimization, and production monitoring • Ability to translate business requirements into practical AI/ML solutions • Experience working on AI/ML solutions in regulated or highly sensitive domains, such as healthcare or government technology (nice to have) • Experience with multi-agent AI systems and orchestration frameworks (nice to have) • Experience with LLM evaluation frameworks and AI observability tools (nice to have) • Familiarity with Docker and Kubernetes (nice to have) • Experience working with APIs, microservices, and scalable AI application architectures (nice to have) • Strong problem-solving and communication skills • Ability to work effectively in a fast-paced, collaborative environment

🏖️ Benefits

• Advanced training • Opportunity to apply advanced training to real business solutions • Remote work arrangement • Contract role

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