- 6–7 years of experience in AI/ML engineering, data science, or applied machine learning.
- Strong programming skills in Python and familiarity with ML frameworks:
- TensorFlow, PyTorch, Keras, JAX, Hugging Face
- Experience with:
- NLP, CV, predictive modeling, or generative AI
- Model deployment and serving (TensorFlow Serving, TorchServe, FastAPI, Triton)
- Data processing tools (Pandas, NumPy, Spark)
- Strong understanding of:
- Machine learning fundamentals, deep learning architectures, and statistics
- Cloud platforms: AWS/GCP/Azure
- CI/CD, MLOps, versioning tools (MLflow, DVC, Airflow)
- Familiarity with distributed training, vector databases (FAISS, Pinecone, Chroma), and GPU acceleration is a plus.
- Nice-to-Have
- Experience with prompt engineering, multi-agent systems, or RAG frameworks.
- Knowledge of LLM fine-tuning (LoRA, QLoRA, PEFT).
- Experience with real-time inference, model optimizers, quantization.
- Certifications in AI/ML or cloud technologies.
- Experience in domain-specific AI (healthcare, fintech, retail, etc.).
Compensation, Benefits and Duration
Minimum Compensation: USD 40,000
Maximum Compensation: USD 141,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Tags & focus areas
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