AI Developer

Etech Group; Maharashtra; On-site; INR 1,500,000 - 3,600,000; Full time

Job summary

E Tech Group in India seeks an experienced ML Engineer to design and implement AI/ML systems, train and deploy models, and build scalable data pipelines across cloud platforms.

You will collaborate with product and engineering teams, advance MLOps practices, optimize performance and cost, and stay current with AI research to deliver robust solutions.

Qualifications

• Bachelor’s or Master’s in CS/ML
• 3+ years building production software or ML systems
• Proficient in Python, C#, TypeScript; Java or C++ a plus
• Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Familiar with large language models and generative AI
• Strong grasp of statistics, machine learning, and model evaluation
• Experience developing scalable systems and APIs
• Proficiency in front-end development
• Knowledge of data engineering and large dataset handling
• DNA comprised of collaboration and teamwork

Responsibilities

• Design and implement AI/ML systems for practical use
• Develop, train, evaluate, and deploy machine learning and deep learning models
• Build LLM-based agents, RAG systems, and conversational apps
• Maintain scalable pipelines for data ingestion, training, and inference
• Apply automated model training, monitoring, and deployment best practices
• Optimize model performance and cost in production
• Integrate AI into software, APIs, and cloud platforms
• Collaborate with product, engineering, and domain teams to shape AI solutions
• Keep current on AI technologies, frameworks, and research
• Document architectures and implementations for internal use
• Be an ambassador who embodies our Core Values, prioritizing the success of E Tech Group, our clients, and the professional development of our associates

Skills

Python

C#

TypeScript

ML frameworks

LLMs

Statistics

APIs

Data engineering

Education

Bachelor’s or Master’s in CS/ML

Tools

PyTorch

TensorFlow

scikit-learn

Azure

AWS

GCP

Job description

At E Tech Group, joining our team means joining a group of passionate and forward-thinkingexperts. We’re one of the largest engineering and system integration firms in the United States providing value for our clients through IT automation and control solutions for more than 30 years to the Life Sciences, Mission Critical, Metals & Mining, Warehousing & Distribution, and CPG/Food & Beverage industries. Our national and global scale allows us to help our clients develop and implement standardized solutions at any of their facilities regardless of physical location or the local resources available at that site.

You Will:

• Design and implement AI/ML systems for practical use
• Develop, train, evaluate, and deploy machine learning and deep learning models
• Build LLM-based agents, RAG systems, and conversational apps
• Maintain scalable pipelines for data ingestion, training, and inference
• Apply automated model training, monitoring, and deployment best practices
• Optimize model performance and cost in production
• Integrate AI into software, APIs, and cloud platforms
• Collaborate with product, engineering, and domain teams to shape AI solutions
• Keep current on AI technologies, frameworks, and research
• Document architectures and implementations for internal use
• Be an ambassador who embodies our Core Values, prioritizing the success of E Tech Group, our clients, and the professional development of our associates.

You Have:

• Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or related field
• 3+ years building production software or ML systems
• Proficient in Python, C#, TypeScript; Java or C++ a plus
• Experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Familiar with large language models and generative AI
• Strong grasp of statistics, machine learning, and model evaluation
• Experience developing scalable systems and APIs
• Proficiency in front-end development
• Knowledge of data engineering and large dataset handling
• A DNA comprised of collaboration and teamwork.

You May Have:

• Skilled in building LLM applications (RAG, agents, semantic search, copilots)
• Proficient with vector databases and embedding pipelines
• Experienced in MLOps and model lifecycle management
• Knowledgeable about AI orchestration frameworks and agent systems
• Familiar with containerization and cloud platforms, especially Azure; also AWS/GCP
• Hands-on experience with distributed systems or GPU training