Location:

Mumbai Employment Type:

Full-Time Experience:

5+ Years About the Role We are looking for an experienced

Senior AI-ML Analyst

to join our team and contribute to the development and deployment of AI/ML solutions for a large-scale enterprise analytics platform. The ideal candidate will have strong hands-on expertise in

Python, Machine Learning, AWS SageMaker, and statistical analysis , along with proven experience taking ML models from development through production deployment and monitoring. Key Responsibilities

Own and deliver multiple

AI/ML use cases

from problem definition through production deployment. Design, develop, train, validate, and deploy machine learning models. Build and optimize ML workflows using

Python and industry-standard ML frameworks . Use

AWS SageMaker

for model training, deployment, monitoring, and lifecycle management. Perform data exploration, feature engineering, statistical analysis, and model evaluation. Extract actionable insights from large-scale datasets to support business and analytical requirements. Monitor model performance, accuracy, and reliability in production environments. Implement and follow

MLOps practices

for reproducible and scalable ML workflows. Collaborate with data engineers, business stakeholders, and technical teams to translate requirements into ML solutions. Continuously evaluate and improve model performance and analytical approaches. Maintain technical documentation for models, experiments, pipelines, and deployments. Key Technologies

Python Scikit-learn TensorFlow / PyTorch AWS SageMaker Pandas & NumPy Statistical / Data Science Libraries Jupyter Notebook MLOps Requirements

5+ years of experience

in AI/ML, Data Science, or a closely related field. Strong hands-on experience with

Python and Machine Learning .



Proven experience developing and deploying ML models into

production environments . Strong practical experience with

AWS SageMaker , including model training, deployment, and monitoring. Positive understanding of

machine learning algorithms, statistical techniques, model evaluation, and feature engineering . Experience working with

Scikit-learn and TensorFlow/PyTorch . Strong proficiency in

Pandas, NumPy, and data analysis . Experience working with large datasets and enterprise-scale analytics platforms. Understanding of

MLOps and ML lifecycle management . Strong analytical, problem-solving, and communication skills. Willingness to work

on-site from Mumbai . Good to Have

Experience working on

large-scale enterprise analytics platforms . Exposure to

demand forecasting, supply chain analytics, or time-series forecasting . Experience in

Oil & Gas or other asset-intensive industries . AWS certifications related to

Machine Learning, Data, or Cloud . Experience with real-time or batch ML inference systems. What We Offer

Opportunity to work on

enterprise-scale AI/ML projects . Hands-on exposure to

AWS and modern MLOps practices . Opportunity to work on diverse and challenging AI/ML use cases. Learning and professional development opportunities. Collaborative and technology-driven work environment. Competitive compensation and career growth opportunities. Interested? If you are an experienced

AI/ML professional

with strong Python and AWS SageMaker expertise and enjoy taking machine learning solutions from development to production, we would love to hear from you.

Apply now or share your profile with us.

#Hiring #AI #MachineLearning #AIML #DataScience #MLJobs #AWS #AWSSageMaker #Python #MLOps #ArtificialIntelligence #MumbaiJobs #TechHiring #HiringNow

📌 Senior AI-ML Analyst (Mumbai)
🏢 Nlineaxis IT Solutions
📍 Mumbai