AI/ML Engineer

Weekday 1; Pune District; On-site; INR 500,000 - 2,700,000; Full time

Job summary

Weekday 1 client is seeking an experienced AI/ML Engineer in Pune with 6-10 years of hands-on expertise in AI, ML, and data science. You will design, develop, deploy, and optimize intelligent systems to solve complex business problems, transforming data into scalable AI-driven products and actionable insights.

The role requires collaboration with data scientists, software engineers, and business stakeholders, plus experience taking models from experimentation through production in modern

Qualifications

• 6-10 years of relevant professional experience in AI/ML, Machine Learning Engineering, or Data Science.
• Hands-on experience deploying production-grade ML models.
• Strong programming skills in Python and ML libraries (NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch).
• Experience with cloud environments like AWS, Azure, or GCP.

Responsibilities

• Design, develop, and implement ML/AI models for real-world business applications.
• Analyze large datasets to identify patterns and opportunities for predictive modeling.
• Build end-to-end ML pipelines including data prep, feature engineering, model development, validation, deployment, and monitoring.
• Collaborate with engineering teams to integrate models into production APIs and services.
• Stay updated with AI/ML advancements and conduct experiments to evaluate new tech.

Skills

AI

Machine Learning

Data Science

Python

AWS

Cloud

Education

Bachelor's or Master's in Computer Science or related field

Tools

Docker

Kubernetes

MLflow

Spark

Job description

This role is for one of Weekday's clients
Salary range: Rs 500000 - Rs 2700000 (ie INR 5 - 27 LPA)

Min Experience: 6+ years
Location: Pune, Maharashtra, India
JobType: full-time

We are looking for an experienced and highly skilled AI/ML Engineer with 6-10 years of hands-on experience in Artificial Intelligence, Machine Learning, and Data Science. The ideal candidate will be responsible for designing, developing, deploying, and optimizing intelligent systems and machine learning solutions that solve complex business problems.

You will work closely with data scientists, software engineers, product teams, and business stakeholders to transform data into scalable AI-driven products and actionable insights. The role requires strong technical expertise, problem-solving ability, and experience taking machine learning models from experimentation through production.

Requirements

Key Responsibilities

• Design, develop, and implement machine learning and AI models for real-world business applications.
• Analyze large and complex datasets to identify patterns, trends, correlations, and opportunities for predictive modeling.
• Develop and optimize supervised, unsupervised, and semi-supervised machine learning algorithms.
• Build end-to-end ML pipelines, including data preparation, feature engineering, model development, validation, deployment, and monitoring.
• Apply statistical methods and data science techniques to solve business and technical problems.
• Evaluate model performance using appropriate metrics and continuously improve accuracy, scalability, and efficiency.
• Work with structured and unstructured data, including text, images, and other high-dimensional datasets.
• Collaborate with engineering teams to integrate AI/ML models into production applications and APIs.
• Develop scalable solutions using cloud platforms, distributed computing frameworks, and modern ML infrastructure.
• Stay updated with advancements in AI, Generative AI, deep learning, NLP, computer vision, and MLOps.
• Conduct experiments, proof-of-concepts, and technical evaluations for emerging AI/ML technologies.
• Document model architectures, methodologies, experiments, results, and deployment processes.

Must-Have Skills

• AI: Strong understanding of Artificial Intelligence concepts, algorithms, and practical applications.
• Machine Learning: Deep hands-on experience with machine learning algorithms, model development, optimization, and deployment.
• Data Science: Strong expertise in data analysis, statistical modeling, data preprocessing, feature engineering, and exploratory data analysis.
• Strong programming skills in Python and familiarity with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Experience developing and deploying production-grade machine learning models.
• Strong understanding of model evaluation, validation, feature selection, hyperparameter tuning, and optimization.
• Experience working with SQL and large datasets.
• Good understanding of data structures, algorithms, and software engineering principles.
• Experience with cloud environments such as AWS, Azure, or GCP.
• Strong analytical, problem-solving, and communication skills.

Good to Have

• Experience with Generative AI, LLMs, NLP, or Computer Vision.
• Knowledge of MLOps, model monitoring, CI/CD, Docker, Kubernetes, or MLflow.
• Experience with distributed data processing technologies such as Spark.
• Familiarity with vector databases, embeddings, RAG architectures, and AI application development.
• Experience deploying scalable AI/ML services in production.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related field.
• 6-10 years of relevant professional experience in AI/ML, Machine Learning Engineering, or Data Science.
• Demonstrated experience building and deploying AI/ML solutions in production environments.