Machine Learning Engineer
Spectral Consultants
- Location
- Noida, Uttar Pradesh, India
- Job type
- Full-time
Required skills
- Python
- AWS
- CI
- compliance
- Docker
- ECS
- ETL
- Flink
- Kubernetes
- Lambda
- Spark
- spectral
- Pytorch
About the role
Spectral Consultants
Website:
spectral.in
Job details:
What You’ll Do
- Build LLM apps (RAG, prompts, agents, guardrails, evaluation)
- Own ML lifecycle: data → training (LoRA/QLoRA) → deployment → monitoring
- Deploy scalable solutions on AWS (EKS/ECS/Lambda, SageMaker, Bedrock)
- Optimize training/inference (FSDP, DeepSpeed, vector DBs, GPUs)
- Set up MLOps: CI/CD, model tracking, governance, responsible AI
- Collaborate with product/UX to deliver impactful ML solutions
- Mentor team and lead technical decisions
- Perform EDA and domain-focused data research
What You’ll Bring
Required:
- 5–8 and 7-12 yrs experience (3+ yrs in production ML systems)
- 1+ yr hands-on with LLMs (RAG, fine-tuning, prompt engineering)
- Strong AWS experience (SageMaker, Bedrock, Lambda, etc.)
- Python, PyTorch, Hugging Face, vector DBs
- MLOps (CI/CD, Docker, Kubernetes, monitoring)
- Data engineering (ETL, Spark/Flink)
Nice to Have:
- Distributed training, RLHF, Inferentia/Trainium
- Domain experience (asset/sustainability)
- ML security & compliance
How You Work
- Outcome-driven and fast-iterating
- Strong engineering and production mindset
- Collaborative leader and mentor
Click on Apply to know more.
This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.