Patel Nagar Delhi Delhi Deep learning engineer Jobs – 152 Open Jobs Today

Senior Machine Learning Engineer
Siemens —Gurugram, Haryana
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
Associate AI/ML Engineer
Optum —Gurugram, Haryana
- Full-time
- Computer Science
- Data analysis skills
- Master's degree
- Health insurance
7d
AI/ML Engineer
Optum —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Java
- Health insurance
LLM Engineer
Imaging IQ —Gurugram, Haryana
- ₹8,00,000 - ₹10,00,000 a year
- Full-time
- Master's degree
- Databases
- Bachelor's degree
- Health insurance
Quick apply
Machine Learning Engineer
Paxcom India —Gurugram, Haryana
- Full-time
- AWS
- Machine learning
- Scripting
Data Science Engineer
V Patrol AI Pvt ltd —Gurugram, Haryana
- ₹3,48,246.23 - ₹6,02,430.41 a year
- Full-time
- Computer Science
- Master's degree
- AWS
Quick apply
Robotics Engineer
Shunya Ekai Technologies —Gurugram, Haryana
- Full-time
- C++
- Bachelor's degree
- Machine learning
AI ML Engineer
Optum —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Data analysis skills
- Health insurance
6d
Lead Forward Deployed AI Engineer, India - BCG X
Boston Consulting Group —Gurugram, Haryana
- Full-time
- Azure
- SQL
- AWS
Quality Automation Engineer (Playwright) - Senior
Spark Eighteen —South East District, Delhi
- Urgently hiring
- SQL
- AWS
- JavaScript
- Health insurance
Team Lead / Lead QA Engineer
Gallagher —Gurugram, Haryana
- Bachelor's degree
- Communication skills
AI/ML Researcher
NK Securities —Gurugram, Haryana
- Research
- Master's degree
- Analysis skills
AI/ML Engineer
Digitup —Gurugram, Haryana
- Azure
- Computer Science
- Master's degree
- Health insurance
AI / ML Engineer
Accenture —Gurugram, Haryana
- Full-time
- Machine learning
- Computer networking
- AI
AI Engineer II / AI Engineer III
KlearNow.ai —Gurugram, Haryana
- Full-time
- SQL
- Math
- Machine learning
Quick apply
IDP Engineer Strategic automation and insights partner
Skyleaf Consultants —Gurugram, Haryana
- ₹30,00,000 - ₹40,00,000 a year
- Full-time
- Azure
- Computer Science
- Java
AI/ML Engineer
TaskNera —Gurugram, Haryana
- Up to ₹20,00,000 a year
- Full-time
- DevOps
- Master's degree
- Databases
Quick apply
10d
Global AI/ML Engineer Manager
Boston Consulting Group —Gurugram, Haryana
- Full-time
- Java
- Master's degree
- Machine learning
AI ENGINEER
ADSPARKX MEDIA —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Senior Mobile Engineer
Payoneer —Gurugram, Haryana
- Java
- Mentoring
- Computer networking
- Health insurance
Quick apply

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Senior Machine Learning Engineer

Siemens -
Gurugram, Haryana

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

deep learning engineer jobs in patel nagar delhi delhi

Senior Machine Learning Engineer

Associate AI/ML Engineer

AI/ML Engineer

LLM Engineer

Machine Learning Engineer

Data Science Engineer

Robotics Engineer

AI ML Engineer

Lead Forward Deployed AI Engineer, India - BCG X

Quality Automation Engineer (Playwright) - Senior

Team Lead / Lead QA Engineer

AI/ML Researcher

AI/ML Engineer

AI / ML Engineer

AI Engineer II / AI Engineer III

IDP Engineer Strategic automation and insights partner

AI/ML Engineer

Global AI/ML Engineer Manager

AI ENGINEER

Senior Mobile Engineer

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