The Prospect

What you’ll do
- Own the ML lifecycle: Data curation, feature engineering, training/fine‑tuning (LoRA/QLoRA), A/B testing, deployment, monitoring, and continuous improvement of models and prompts.
- Scale training & inference: Use distributed training (FSDP/DeepSpeed), quantization, caching, vector databases, and GPU/Inferentia for performance and efficiency.
- MLOps & governance: Establish CI/CD for models (MLflow/Kedro/SageMaker Pipelines), model/version registries, data and prompt lineage, evaluation gates, and responsible‑AI controls. (Aligned with contemporary MLOps templates.)
- Partner across Brightly: Translate asset‑management use cases into ML/LLM solutions; collaborate with product managers and UX to ship customer‑visible features that measurably improve reliability, safety, and sustainability.
- Mentor & lead: Provide technical leadership, review designs/PRs, and raise the bar on ML engineering excellence across the team. (Common senior ML expectations.)
- Perform Exploratory Data Analysis (EDA) on structured, semi‑structured,



and unstructured datasets to identify patterns, correlations, feature importance, and data quality issues.

(Consistent with ML engineer responsibilities to analyze data before model development.)
- Conduct deep research on asset-related, operational, and domain-specific datasets to understand root causes, trends, and predictive signals.

What you’ll bring

Required experience
- 5-7 years total software/ML engineering experience, with 3+ years building and operating ML systems in production.
- AWS proficiency (3+ years): Strong with core services (EKS/ECS, Lambda, S3, DynamoDB/RDS, Step Functions, IAM) and ML stack (SageMaker, Bedrock or HF on AWS). (Representative AWS ML role skills.)
- Modeling & frameworks: Python, PyTorch, Hugging Face ecosystem; vector stores (e.g., OpenSearch, PGVector, Pinecone), embeddings, retrieval, and evaluation metrics for NLP/LLMs. (In line with senior LLM roles.)
- MLOps: CI/CD for M

📌 Senior Machine Learning Engineer (Gurugram)
🏢 Siemens
📍 Gurugram