Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Home
>
Jobs in delhi
>
Weekday AI (YC W21)
>
AI ML Engineer

AI ML Engineer

Weekday AI (YC W21)

6 years

8 - 20 Lacs

delhi india

Posted:7 hours ago| Platform:

Apply

Skills Required

ai ml pipeline design tracking model management mlflow sagemaker vertex azure architecture training data tuning optimization lvm latency devops kubernetes docker orchestration aws dynamodb mongodb mysql postgresql gcp kibana programming scripting python sql javascript learning

Work Mode

On-site

Job Type

Full Time

Job Description

This role is for one of the Weekday's clients

Salary range: Rs 800000 - Rs 2000000 (ie INR 8-20 LPA)

Min Experience: 6 yearsLocation: Bengaluru, Karnataka, NCR, DelhiJobType: full-time

Requirements

Key Responsibilities:

ML Pipeline Design

Design and implement scalable ML pipelines for experiment tracking, model management, feature management, and model retraining.
Develop APIs for high-performance model inferencing.
Hands-on experience with MLflow, SageMaker, Vertex AI, and Azure AI.

LLM Serving & GPU Architecture

Deep understanding of GPU architectures for ML workloads.
Expertise in distributed training and serving of large language models (LLMs).
Skilled in model/data parallel training using frameworks such as DeepSpeed and serving frameworks like vLLM.

Model Fine-Tuning & Optimization

Fine-tune and optimize LLM and LVM models for improved latency and accuracy.
Reduce training time and resource requirements for large-scale model deployments.

DevOps & LLMOps

Proficient in DevOps and LLMOps practices, including Kubernetes, Docker, and container orchestration.
Experience with LLM orchestration frameworks such as Flowise, Langflow, and Langgraph.

Technical Skills & Tools:

LLM Frameworks: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama
LLMOps Tools: MLflow, Langchain, Langgraph, LangFlow, Flowise, LlamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI
Databases/Data Warehouses: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostgreSQL, Aurora, Spanner, Google BigQuery
Cloud Platforms: AWS, Azure, GCP
DevOps Tools: Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus
Programming & Scripting: Python, SQL, JavaScript

Bonus:

AWS Professional Solutions Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert

More Jobs at Weekday AI (YC W21)

Senior Software Engineer - UI/UX

Mumbai Metropolitan Region

4 - 4 yrs

Salary: Not disclosed

Branch Manager

Mehsana, Gujarat, India

3 - 3 yrs

Salary: Not disclosed

Branch Manager

Surat, Gujarat, India

3 - 3 yrs

Salary: Not disclosed

Business Development Manager

Mumbai Metropolitan Region

3 - 3 yrs

Salary: Not disclosed

Presales and Solutions Engineer

Mumbai Metropolitan Region

2 - 2 yrs

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start DevOps Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.