Noida Uttar Pradesh Lead machine learning Jobs – 144 Open Jobs Today

Senior Machine Learning Engineer
Siemens —Noida, Uttar Pradesh
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
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
Program Manager
Zensa LLC —Noida, Uttar Pradesh
- ₹5,00,000 - ₹7,00,000 a year
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Quick apply
TECHNICAL LEAD
Coforge Ltd. —Noida, Uttar Pradesh
- Oracle
- Computer Science
- Java
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
3642321-Assistant Vice President
EXL Service —Noida, Uttar Pradesh
- Full-time
- Computer Science
- SQL
- Project management
Senior Support Lead
HCLTech —Noida, Uttar Pradesh
- SQL
- Machine learning
- Scripting
6d
Lead Data Analyst
Ameriprise India —Noida, Uttar Pradesh
- Full-time
- SQL
- AWS
- Machine learning
Senior Verification Manager - IP Development
Synopsys —Noida, Uttar Pradesh
- English
- Scripting
- Communication skills
- Health insurance
Decision Analyst
Barclays —Noida, Uttar Pradesh
- SQL
- Analysis skills
- Machine learning
Lead AI Engineer 4C
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
Quick apply
13d
IT Operations Lead
MAQ Software —Noida, Uttar Pradesh
- Full-time
- Microsoft Access
- Azure
- Computer Science
Quick apply
Program Director (DFS)
HCLTech —Noida, Uttar Pradesh
- Azure
- Computer Science
- PMP
Staff AI & Machine Learning Engineer
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Azure
- Computer Science
- Engineering
4d
Lead Assistant Manager
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Data analysis skills
- SQL
Lead I - Data Science
UST —Noida, Uttar Pradesh
- Machine learning
- AI
Quick apply
Assc Analytics & Model Analyst
Moody's —Noida, Uttar Pradesh
- Microsoft Excel
- Computer Science
- Microsoft Office
7d
FS-RISK CONSULTING-FSRM - QBB-SENIOR
EY —Noida, Uttar Pradesh
- Finance
- Master's degree
- SQL
- Health insurance
7d
Academic Counsellor
Scope technologies —Noida, Uttar Pradesh
- ₹12,485.18 - ₹25,684.34 a month
- Full-time
- Customer service
- Microsoft Office
- Bachelor's degree
- Cell phone reimbursement
Quick apply
System Analyst
WSP —Noida, Uttar Pradesh
- Hybrid work
- Computer Science
- Bachelor's degree
- Machine learning
3d

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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 jobs in noida uttar pradesh

Senior Machine Learning Engineer

Service Manager

Program Manager

TECHNICAL LEAD

Lead – Artificial Intelligence (AI)

3642321-Assistant Vice President

Senior Support Lead

Lead Data Analyst

Senior Verification Manager - IP Development

Decision Analyst

Lead AI Engineer 4C

IT Operations Lead

Program Director (DFS)

Staff AI & Machine Learning Engineer

Lead Assistant Manager

Lead I - Data Science

Assc Analytics & Model Analyst

FS-RISK CONSULTING-FSRM - QBB-SENIOR

Academic Counsellor

System Analyst

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