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 gurugram
>
Weekday AI (YC W21)
>
ML Engineer

ML Engineer

Weekday AI (YC W21)

6 years

0 Lacs

gurugram haryana india

Posted:2 days ago| Platform:

Apply

Skills Required

ml learning ai model development data engineering design regression analysis preprocessing algorithms tensorflow pytorch metrics drift monitoring architecture mlflow airflow azure sagemaker containerization aws gcp microservices pipeline training inference efficiency reliability spark dask research cutting automation drive programming python numpy optimization docker kubernetes software communication

Work Mode

On-site

Job Type

Full Time

Job Description

This role is for one of the Weekday's clients

Min Experience: 6 yearsLocation: GurugramJobType: full-timeWe are looking for an experienced

Machine Learning Engineer

with

6-12 years

of hands-on expertise in designing, developing, and deploying AI/ML solutions at scale. The ideal candidate is strong in end-to-end model development, has a deep understanding of applied machine learning, and can translate complex business problems into production-ready ML systems. This role requires a blend of technical excellence, problem-solving capability, data engineering awareness, and a strong understanding of modern AI/ML workflows.

Requirements

Key Responsibilities

Qualifications & Experience

End-to-End ML Model Development
Design, build, and optimize machine learning models for classification, regression, recommendation, NLP, or other AI applications.
Conduct exploratory data analysis, data preprocessing, feature engineering, and model selection.
Implement ML algorithms using frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
Continuously evaluate model performance using appropriate metrics and ensure model drift monitoring and retraining.
AI/ML Solution Architecture & Deployment
Architect scalable ML pipelines using tools like MLflow, Kubeflow, Airflow, or Azure ML/ SageMaker pipelines.
Deploy models to production using containerization and cloud-native services (AWS, Azure, GCP).
Collaborate with engineering teams to integrate ML models into production systems with APIs, microservices, or streaming data solutions.
Data Engineering & Pipeline Optimization
Work closely with data engineering teams to define data requirements, ensure data quality, and build robust feature pipelines.
Optimize model training and inference pipelines for speed, cost efficiency, and reliability.
Leverage distributed computing frameworks (Spark, Ray, or Dask) for large-scale ML training.
Research & Innovation in AI/ML
Stay updated with advancements in AI/ML, including transformers, LLMs, deep learning architectures, and generative AI.
Experiment with cutting-edge models and techniques to improve accuracy, performance, or automation of ML workflows.
Drive proof-of-concept development and feasibility studies for new AI-driven initiatives.
Cross-Functional Collaboration
Partner with product managers, data scientists, analysts, and engineering teams to define and execute ML roadmaps.
Translate business requirements into technical specifications and deliver scalable ML solutions.
Communicate model insights, predictions, and performance results to both technical and non-technical stakeholders.
6-12 years of hands-on industry experience as an ML Engineer, Applied ML Engineer, or AI Engineer.
Strong programming expertise in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, and ecosystem tools like NumPy and Pandas.
Deep understanding of ML algorithm fundamentals, statistical modeling, deep learning, NLP, and optimization techniques.
Experience working with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
Proficiency in building and maintaining ML pipelines, CI/CD workflows, and model monitoring systems.
Strong understanding of data structures, algorithms, and software engineering best practices.
Experience with distributed computing, GPU acceleration, or handling large-scale datasets is a plus.
Excellent problem-solving, analytical thinking, and communication skills

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 Python 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.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

Weekday AI (YC W21)

Login to

Please Verify Your Phone or Email

Confirm Action

ML Engineer