Senior Machine Learning Engineer

Philodesign Technologies Inc; Pune District; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Philodesign Technologies Inc is seeking a Senior Machine Learning Engineer in Pune, India. You will translate complex business challenges into scalable, production-ready AI/ML solutions, spanning data exploration to deployment and monitoring.

You will work with ML, Generative AI, NLP, CV, forecasting, and optimization, delivering reliable AI systems and collaborating with cross-functional teams to create measurable business impact.

Qualifications

• 5+ years of relevant experience in Machine Learning, AI engineering, data science, or intelligent software development.

Responsibilities

• Understand business challenges, identify root causes, and define measurable success criteria.
• Design and develop end-to-end AI/ML solutions, from data exploration to production deployment and monitoring.
• Apply ML, deep learning, Generative AI, LLMs, CV, forecasting, anomaly detection, and optimization as appropriate.
• Build production-ready ML pipelines, APIs, data pipelines, evaluation frameworks, and monitoring systems.
• Evaluate solutions based on accuracy, reliability, latency, scalability, cost, and business impact.
• Collaborate with engineering, product, data, and domain teams to deliver practical AI solutions.
• Provide technical direction, review implementations, and mentor team members.
• Communicate technical decisions and trade-offs effectively to stakeholders.

Skills

Python

ML frameworks

SQL

Problem solving

Communication

Tools

scikit-learn

PyTorch

TensorFlow

Job description

Only Immediate joiner to 15 Days notice period will considered.

We are looking for a talented Senior Machine Learning Engineer who can translate complex business challenges into practical, scalable, production-ready AI/ML solutions.

The ideal candidate will have strong problem-solving skills across machine learning, Generative AI, computer vision, statistical modelling, forecasting, and optimization, with the ability to select the right approach based on the business problem.

• Understand business challenges, identify root causes, and define measurable success criteria.


• Design and develop end-to-end AI/ML solutions, from data exploration and experimentation to production deployment and monitoring.


• Apply classical machine learning, deep learning, Generative AI, LLMs, computer vision, forecasting, anomaly detection, and optimization as appropriate.


• Build production-ready ML pipelines, APIs, data pipelines, evaluation frameworks, and monitoring systems.


• Evaluate solutions based on accuracy, reliability, latency, scalability, cost, and business impact.


• Collaborate with engineering, product, data, and domain teams to deliver practical AI solutions.


• Provide technical direction, review implementations, and mentor team members.


• Communicate technical decisions and trade-offs effectively to technical and business stakeholders.

Mandatory Skills & Qualifications

• 5+ years of relevant experience in Machine Learning, AI Engineering, Data Science, or intelligent software development.


• Strong programming and software engineering skills in Python.


• Solid understanding of machine learning, statistics, experimentation, and model evaluation.


• Hands-on experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow.


• Experience delivering AI/ML solutions into production.


• Exposure to multiple areas, including predictive ML, Generative AI, NLP, computer vision, forecasting, or optimization.


• Practical knowledge of LLMs, RAG, AI agents, evaluation frameworks, and guardrails.


• Experience building ML pipelines, APIs, containerized services, and cloud-based solutions.


• Strong SQL and data analysis skills.

Good to Have

• Experience with Azure or other major cloud platforms.


• Exposure to structured, unstructured, visual, time-series, or multimodal data.


• Experience in construction, engineering, manufacturing, or other operationally complex industries.


• Experience mentoring engineers or leading technical solution design.

What We’re Looking For:

An engineer who can go beyond experimentation to build reliable, scalable AI solutions that solve real-world problems and deliver measurable business value.