Senior Machine Learning Engineer - Remote
Job Description
Requirements
- 6+ years in AI/ML engineering with production experience
- Expertise in RAG and GraphRAG architectures
- Proven experience in fine-tuning LLMs and deep learning models
- Experience with agent-based systems and memory architectures
- Strong Python and PyTorch skills
- Proficiency in Go for backend systems
- Solid knowledge of AWS (SageMaker, Bedrock, Lambda, ECS/EKS, S3)
- Familiarity with vector databases like Pinecone, Weaviate, or Qdrant
- Understanding of ML operations, model deployment, and monitoring
Responsibilities
- Act as a founding engineer with customer-first thinking
- Work closely with founders, designers, and engineers to ship features
- Keep the platform aligned with tech and business trends
- Design and implement scalable AI solutions
Job Details
100% Remote (IST working hours)
Interview process
- Intro Call with Founder
- Technical Round 1: Project-based live coding
- Technical Round 2: Project-based live coding
- Salary negotiation
More Info
Key Skills
About Company
Skills:
Java, Docker, Kubernetes, Python, TFX, AWS SageMaker, Kubeflow, Google Vertex AI, Go, MLflow, Metaflow
Skills:
Machine Learning, Deep Learning, Tensorflow, Pytorch, Opencv, Python, Computer Vision, GenAI, Prompting, LLMs, GenAI systems, OCR engines, PIL, Fine-tuning
Skills:
data engineering , Numpy, Pandas, Pytorch, Python, Testing and release, scikit-learn, Development processes, ELT data pipelines, ML research methodologies, Build processes, Production ML systems, Source control management, ML pipelines
Skills:
Machine Learning, Kafka, Sql, MLops, Docker, Spark, Python, Kubernetes, AWS, Ai, anomaly detection, Real-time data processing, Time-series forecasting
Skills:
Machine Learning, Sql, Spark, Python, Neural architectures, ML libraries, Regression, Gradient-boosted trees, ranking, Classification, Causal reasoning, Evaluation frameworks