2 months ago
Remote, IndiaMid Level / Senior
Responsibilities
- Design, develop, train, fine-tune, and evaluate machine learning and LLM-based solutions.
- Build and maintain end-to-end ML/AI pipelines for data ingestion, processing, model development, inference, deployment, and monitoring.
- Develop Generative AI applications, including LLM-powered solutions and RAG-based systems.
- Apply prompt engineering, context engineering, and LLM fine-tuning to improve model performance and reliability.
- Design solutions using embeddings, vector databases, semantic search, and RAG architectures.
- Optimize AI/ML systems for accuracy, latency, scalability, and cost efficiency.
- Implement model evaluation, guardrails, observability, and production monitoring.
- Follow MLOps practices including model versioning, deployment automation, CI/CD, and model lifecycle management.
- Collaborate with solution architects, data scientists, and engineering teams to translate business requirements into scalable solutions.
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, including 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, model versioning, and CI/CD for machine learning workloads.
- Experience with at least one of AWS SageMaker, Azure Machine Learning, or Google Cloud Vertex AI.
- Strong understanding of model evaluation, performance optimization, and production monitoring.
- Experience in regulated or highly sensitive domains, multi-agent AI systems, LLM evaluation, AI observability, Docker, Kubernetes, APIs, microservices, or scalable AI application architectures is preferred.
- Strong problem-solving, communication, and cross-functional collaboration skills.
Benefits
- Remote/offshore work arrangement based in India.
- Advanced training and opportunities to apply skills to real-world startup and enterprise customer solutions.
- Opportunity to work on complex AI and digital innovation challenges in a collaborative, entrepreneurial environment.
Tech Stack
Categories
About ISHIR
ISHIR is a privately held software development and digital innovation services firm headquartered in Dallas, founded in 1999. It builds custom software and mobile apps, provides enterprise AI and product engineering, and offers offshore/nearshore delivery through a global talent network (including its BorderlessMind subsidiary). Clients range from startups to large enterprises, with remote-first teams spanning the U.S., Asia, Latin America, and Eastern Europe.