Up Senior software engineer ai/ml Jobs – 59 Open Jobs Today

Senior Machine Learning Engineer
Siemens —Noida, Uttar Pradesh
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
12d
Principal AI Research Engineer
Level AI —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Computer Science
- Research
- Master's degree
Quick apply
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- DevOps
- Master's degree
Quick apply
Senior Developer
Soterius —Noida, Uttar Pradesh
- Full-time
- Master's degree
- AWS
- APIs
Regional AI & Data Hub Technical Lead
Bureau Veritas —Noida, Uttar Pradesh
- Full-time
- English
- Master's degree
- Travel
5d
Senior DevOps Engineer
Lumiq —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- DevOps
Senior Data Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
Quick apply
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
Quick apply
AI Architect
CLOUDSUFI —Noida, Uttar Pradesh
- Full-time
- English
- APIs
- AI
Quick apply
Full-Stack Developer Intern (Python & React)
Fusionpact Career —Noida, Uttar Pradesh
- Full-time
- Remote
- Azure
- System design
- Databases
Quick apply
Machine Learning Engineer 4
Adobe —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- System design
AI/ML Instructor & Program Mentor Intern
Fusionpact Career —Noida, Uttar Pradesh
- Azure
- Computer Science
- Laboratory experience
Quick apply
Associate - Business Excellence
WSP —Noida, Uttar Pradesh
- Hybrid work
- PMP
- Microsoft Office
- Master's degree
Senior Pre-Sales Consultant
Impressico Business Solutions —Noida, Uttar Pradesh
- Computer Science
- Presentation skills
- Bachelor's degree
Senior Lead
Nucleus Software —Noida, Uttar Pradesh
- Oracle
- System design
- Java
Manager — Information Security and Compliance
apexanalytix —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Bachelor's degree
Quick apply
Sr Principal Product Engineer
Cadence Design Systems —Noida, Uttar Pradesh
- Full-time
- System design
- Master's degree
- Electrical experience

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Senior Machine Learning Engineer

Siemens -
Noida, Uttar Pradesh

Apply Now

Job details

Permanent | Full-time
12 days ago

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

senior software engineer ai/ml jobs in up

Senior Machine Learning Engineer

Principal AI Research Engineer

Senior Data Engineer – GenAI & Unstructured Data Pipelines

Senior Developer

Regional AI & Data Hub Technical Lead

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Senior Data Engineer

Senior Data Engineer – GenAI & Unstructured Data Pipelines

AI Architect

Full-Stack Developer Intern (Python & React)

Machine Learning Engineer 4

AI/ML Instructor & Program Mentor Intern

Associate - Business Excellence

Senior Pre-Sales Consultant

Senior Lead

Manager — Information Security and Compliance

Sr Principal Product Engineer

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