Noida Uttar Pradesh Lead machine learning engineer Jobs – 77 Open Jobs Today

Senior Machine Learning Engineer
Siemens —Noida, Uttar Pradesh
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
Lead AI Engineer 4C
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
Quick apply
13d
Service Manager
Optimum Solutions —Noida, Uttar Pradesh
- ₹12,00,000 a year
- Full-time
- Microsoft Office
- Bachelor's degree
- Travel
- Health insurance
- Paid time off
Quick apply
Lead – Artificial Intelligence (AI)
KiwiTech India Pvt. India —Noida, Uttar Pradesh
- ₹1,50,000 - ₹2,50,000 a month
- Full-time
- Azure
- Computer Science
- Master's degree
- Health insurance
- Flexible schedule
Quick apply
Staff AI & Machine Learning Engineer
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Azure
- Computer Science
- Engineering
4d
Sr. AI Engineer
Deepmindz —Noida, Uttar Pradesh
- Up to ₹14,00,000 a year
- Full-time
- Azure
- AWS
- Machine learning
- Health insurance
- Paid time off
Quick apply
Data Scientist 4A
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
Quick apply
6d
PPC Engineer
JREW ENGINEERING PVT. LTD. —Faridabad, Haryana
- ₹25,000 - ₹35,000 a month
- Full-time
- Microsoft Excel
- ERP systems
- Bachelor's degree
Quick apply
12d
Senior Support Lead
HCLTech —Noida, Uttar Pradesh
- SQL
- Machine learning
- Scripting
6d
AI Architecture Lead
Acme Services —Noida, Uttar Pradesh
- ₹30,00,000 - ₹35,00,000 a year
- Full-time
- Computer Science
- System design
- Master's degree
Quick apply
Program Director (DFS)
HCLTech —Noida, Uttar Pradesh
- Azure
- Computer Science
- PMP
Senior Verification Manager - IP Development
Synopsys —Noida, Uttar Pradesh
- English
- Scripting
- Communication skills
- Health insurance
System Analyst
WSP —Noida, Uttar Pradesh
- Hybrid work
- Computer Science
- Bachelor's degree
- Machine learning
3d
GenAI Engineer
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Engineering
- Master's degree
12d
Staff R&D Software Engineer - DFT
Synopsys —Noida, Uttar Pradesh
- C++
- Software development
- In-person
AI/ML Engineer
PrismHR —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Senior Engineer-Devops, Machine Learning Operations
BOLD LLC —Noida, Uttar Pradesh
- DevOps
- AWS
- Machine learning
- Health insurance
- Paid time off
Applications Engineering, Sr Staff Engineer
Synopsys —Noida, Uttar Pradesh
- Master's degree
- Project management
- Electrical experience
- Health insurance
Analog Design, Sr Engineer
Synopsys —Noida, Uttar Pradesh
- Scripting
- Communication skills
- Python
- Health insurance
6d
Lead Assistant Manager
EXL Service —Noida, Uttar Pradesh
- Full-time
- SQL
- Machine learning
- APIs

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Senior Machine Learning Engineer

Siemens -
Noida, Uttar Pradesh

Apply Now

Job details

Permanent | Full-time

Qualifications

CI/CD
Law
Computer Science
Kubernetes
Spark
Git
Master's degree
Application development
AWS
Math
Docker
Bachelor's degree
Machine learning
Continuous integration
Natural language processing
GitHub
APIs
S3
DynamoDB
RDS database
GitLab
Python
Identity & access management

Full job description

The Opportunity

We’re looking for a Senior Machine Learning Engineer to lead LLM‑powered application development—from prototype to production—on AWS. You’ll design robust ML/LLM services that power search, recommendations, copilots, and workflow automation in Brightly’s platform, partnering closely with product, data, and engineering teams. Responsibilities and skill expectations reflect current industry practice for senior ML/LLM engineers, including end‑to‑end model lifecycle ownership, production‑grade code, and MLOps.

What you’ll do

Build LLM applications: Design and implement RAG pipelines, prompt orchestration, tools/agents, safety/guardrails, and evaluation harnesses; instrument for latency, cost, and quality. (Guided by current LLM engineer role practices.)
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.
Productionize on AWS: Ship scalable services on EKS/ECS/Lambda; leverage SageMaker, Bedrock, EMR, MSK, Step Functions; apply observability (CloudWatch/OpenTelemetry) and cost controls. (Duties aligned to modern AWS ML roles.)
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.
1+ years hands‑on LLM application development (e.g., RAG, fine‑tuning, prompt engineering, evaluators/guardrails, agentic workflows) using packages such as Langchain and Langgraph.
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 ML, model registries, experiment tracking, telemetry/monitoring, automated retraining; Docker/Kubernetes, GitHub Actions/GitLab CI. (Current MLOps expectations.)
Data engineering fluency: ETL/ELT, streaming/batch (Spark/Flink), data quality and governance controls for ML.

Nice to have

Experience with distributed training (FSDP, DeepSpeed), RLHF, or Inferentia/Trainium optimization.
Exposure to sustainability/asset/intelligent operations domains.
Familiarity with security & compliance for ML systems in enterprise environments. (Frequently included in senior ML roles.)

How you’ll work

Pragmatic and product‑oriented: You bias to measurable outcomes and iterate quickly with stakeholders. (Modern senior ML role framing.)
Engineering excellence: You write production‑quality Python, design reliable APIs/services, and uphold testing/observability standards. (Common duties in senior templates.)
Collaborative leadership: You mentor peers and influence architecture across teams. (Industry‑standard senior expectations.)

Qualifications

Bachelor’s in CS/EE/Math or related field (Master’s preferred) or equivalent practical experience. (Typical for senior ML roles.)

Join a mission‑driven team building technology that keeps communities running—safer, greener, and more resilient—at global scale. You’ll pair startup‑speed product work with the reach and rigor of Siemens.

Apply Now

Refine Your Search

lead machine learning engineer jobs in noida uttar pradesh

Senior Machine Learning Engineer

Lead AI Engineer 4C

Service Manager

Lead – Artificial Intelligence (AI)

Staff AI & Machine Learning Engineer

Sr. AI Engineer

Data Scientist 4A

PPC Engineer

Senior Support Lead

AI Architecture Lead

Program Director (DFS)

Senior Verification Manager - IP Development

System Analyst

GenAI Engineer

Staff R&D Software Engineer - DFT

AI/ML Engineer

Senior Engineer-Devops, Machine Learning Operations

Applications Engineering, Sr Staff Engineer

Analog Design, Sr Engineer

Lead Assistant Manager

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