Senior AI/ML Engineer (Only Senior roles for this)

Build & Hire; Pune District; Remote; INR 3,600,000 - 4,400,000; Full time

Job summary

Build & Hire is seeking a Senior AI/ML Engineer in Pune with 5–8 years of hands‑on experience in ML/AI solutions. You will design, develop, train, and deploy models, optimize performance, and integrate AI capabilities into enterprise software.

The role emphasizes ownership, scalability, and collaboration across engineering and product teams. You will work with Python and ML frameworks, handle structured and unstructured data, and contribute to production‑grade AI applications while following

Qualifications

• 5–8 years of professional experience in software development, ML/AI or related roles.
• Hands‑on knowledge of ML/AI concepts, algorithms, and techniques.
• Experience building, training, evaluating, and optimizing ML models.
• Experience deploying AI/ML solutions to production environments.
• Strong understanding of data preprocessing, feature engineering, and model evaluation.

Responsibilities

• Design, develop, and implement ML models to solve business problems.
• Develop and optimize ML algorithms for accuracy and scalability.
• Analyze datasets to identify patterns and actionable insights.
• Train, evaluate, and fine‑tune ML models and deploy to production.
• Collaborate with engineers, data scientists, and product teams.

Skills

ML concepts

AI-driven solutions

Python

Model deployment

Problem solving

Education

BE/B.Tech in CS/IT/AI/ML/Data Science

Tools

TensorFlow

PyTorch

scikit-learn

Keras

Docker

Job description

Senior AI/ML Engineer

We are currently hiring for an experienced Senior AI/ML Engineer with 5–8 years of professional experience in designing, developing, deploying, and maintaining intelligent software solutions using Machine Learning (ML), Artificial Intelligence (AI), and advanced data-driven technologies for one of our clients in Pune.

The role focuses on developing and implementing machine learning models, building AI-powered applications, optimizing model performance, and integrating intelligent capabilities into scalable, production-ready software solutions.

This role is suited to a hands‑on AI/ML Engineer who has practical experience developing machine learning solutions and AI‑driven products. The ideal candidate should be comfortable taking solutions from initial research and proof‑of‑concepts (POCs) through production deployment, working across the AI/ML lifecycle, and taking strong ownership of technical delivery.

Key Responsibilities

• Design, develop, and implement machine learning models to solve real-world business problems.
• Develop and optimize AI/ML algorithms for accuracy, scalability, performance, and reliability.
• Analyze complex datasets to identify patterns, trends, and actionable insights.
• Build, train, evaluate, and fine‑tune machine learning models using appropriate algorithms and techniques.
• Develop AI‑powered applications and integrate machine learning capabilities into existing software systems.
• Take AI/ML proof‑of‑concepts from initial development through production implementation.
• Perform data preprocessing, feature engineering, model selection, and hyperparameter tuning.
• Evaluate model performance using appropriate metrics and continuously improve model accuracy.
• Develop scalable and maintainable AI/ML solutions aligned with business and technical requirements.
• Collaborate with software engineers, data engineers, architects, product teams, and business stakeholders to integrate AI/ML solutions into enterprise applications.
• Work with structured and unstructured data to develop effective machine learning solutions.
• Implement model deployment, monitoring, and performance optimization practices for production environments.
• Troubleshoot model performance issues and conduct root‑cause analysis to improve solution effectiveness.
• Research and evaluate emerging AI/ML technologies, algorithms, frameworks, and industry best practices.
• Ensure the reliability, scalability, maintainability, and quality of developed AI/ML solutions.
• Follow established software development standards, coding guidelines, testing practices, and engineering best practices.
• Participate in code reviews, technical discussions, and solution design activities.
• Take ownership of assigned development activities and ensure timely, high‑quality delivery.

Required Skills / Primary Skills

• 5–8 years of professional experience in software development, machine learning, artificial intelligence, or related technical roles.
• Strong hands‑on knowledge of Machine Learning (ML) concepts, algorithms, and techniques.
• Strong practical experience in Artificial Intelligence (AI) and developing AI‑driven solutions.
• Experience designing, developing, training, evaluating, and optimizing machine learning models.
• Strong understanding of supervised and unsupervised learning techniques.
• Experience with data preprocessing, feature engineering, model selection, and performance evaluation.
• Understanding of statistical methods, probability, and mathematical concepts relevant to machine learning.
• Experience translating business requirements into effective AI/ML solutions.
• Practical experience taking AI/ML POCs through to production‑ready implementations.
• Understanding of model performance metrics, validation techniques, and optimization strategies.
• Ability to work with complex datasets and develop scalable, reliable machine learning solutions.
• Strong analytical thinking, debugging, and problem‑solving skills.
• Understanding of enterprise software development principles and best practices.
• Strong ownership mindset and ability to drive technical development activities independently.
• Ability to work effectively in a collaborative engineering environment.

Additional Skills

• Experience with programming languages such as Python and relevant AI/ML libraries.
• Hands‑on experience with frameworks and libraries such as TensorFlow, PyTorch, scikit‑learn, or Keras.
• Knowledge of deep learning, neural networks, and advanced machine learning techniques.
• Exposure to Generative AI, Large Language Models (LLMs), prompt engineering, or Retrieval‑Augmented Generation (RAG).
• Experience with cloud‑based AI/ML services on AWS, Azure, or GCP.
• Understanding of MLOps practices, including model deployment, versioning, monitoring, and lifecycle management.
• Experience with Docker and containerized application development.
• Knowledge of REST APIs and integrating AI/ML models with enterprise applications.
• Experience working with SQL and NoSQL databases.
• Understanding of CI/CD and DevOps practices for AI/ML workflows.
• Familiarity with data engineering pipelines and large‑scale data processing.
• Knowledge of model explainability, responsible AI, and AI governance principles.
• Experience with application monitoring, logging, and production troubleshooting.
• Experience working in enterprise technology, SaaS products, or large‑scale software environments.
• Experience collaborating with distributed engineering teams is an added advantage.
• Strong communication skills and the ability to explain technical concepts to non‑technical stakeholders.

Education

• B.E. or B.Tech in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related discipline.

Employment Details

• Role: Senior AI/ML Engineer
• Experience: 5–8 years
• No. of Positions: 1
• Employment Type: Full Time
• Location: Remote / Pune
• Salary: Maximum 40 Lakhs for the right candidate.
• Industry: Enterprise Technology / AI, Machine Learning & Software Products

Compensation

Compensation will be based on experience, technical capability, AI/ML expertise, and interview performance.

For exceptionally strong candidates, compensation can be considered beyond the standard range based on relevant experience, technical expertise, and overall fit.

Candidates with 5–8 years of relevant experience will be considered based on their hands‑on experience in AI/ML engineering, model development, production deployment, and ability to deliver scalable, business‑focused AI solutions.

For exceptional candidates, compensation can be decided based on technical expertise, relevant experience, practical AI/ML implementation experience, interview performance, and overall fit.