Full-Time
Machine Learning Engineer
Egen
1,001-5,000 employees
Cloud-based AI platform development and consulting
No salary listed
Hyderabad, Telangana, India
Hybrid
 AI & Machine Learning (1) |
|---|
- At least 5 years of experience in designing & building AI applications for customers and deploying them into production
- Software engineering experience in building Secure, scalable and performant applications for customers
- Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI
- Design, develop, and operationalize existing ML models by fine tuning, personalizing it
- Evaluate machine learning models and perform necessary tuning
- Develop prompts that instruct LLM to generate relevant and accurate responses
- Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation
- Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance
- Hands on customer experience with Retrieval-Augmented Generation solution or fine tuning of LLM model
- Build and deploy scalable machine learning pipelines on Google Cloud Platform or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools
- Experience with end-to-end steps involving data cleaning, exploratory data analysis, dealing with outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment
- Proven experience building and deploying machine learning models in production environments for real life applications
- Good understanding of natural language processing, computer vision or other deep learning techniques
- Expertise in Python, NumPy, Pandas and various ML libraries (e.g., XGBoost, TensorFlow, PyTorch, Scikit-learn, LangChain)
- Familiarity with Google Cloud or any other Cloud Platform and its machine learning services
- Excellent communication, collaboration, and problem-solving skills
- Design, develop, and operationalize existing ML models by fine tuning or personalizing them
- Evaluate and tune machine learning models
- Develop prompts for Large Language Models to generate relevant and accurate responses
- Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development including data cleaning transformation and augmentation
- Analyze LLM responses and iteratively modify prompts to improve LLM performance
- Develop and maintain Retrieval-Augmented Generation solutions or fine tune Large Language Models for customer deployments
- Build and deploy scalable machine learning pipelines on cloud platforms involving data warehouses, machine learning platforms, dashboards or CRM tools
- Manage end-to end data science projects including data cleaning, exploratory data analysis, dealing with outliers, handling imbalances, analyzing data distributions, transforming features, selecting models, training and deployment
- Provide hands on customer support and guidance for AI deployments including RAG solutions or LLM fine tuning
- Google Cloud Certified Professional Machine Learning Engineer or TensorFlow Certified Developer certifications or equivalent
- Experience with one or more public cloud platforms - Google Cloud Platform, Amazon Web Services or Microsoft Azure
- Experience with AutoML and vision techniques
- Master’s degree in statistics, machine learning or related fields
Egen.ai builds data-driven solutions by combining cloud computing, AI, and platform development to help organizations optimize operations, reduce costs, and improve decision-making. It delivers tailored consulting and scalable platforms, partnering with cloud and data platform providers across industries, including government and enterprise clients. Its solutions collect and analyze data from clients’ systems, deploy AI-powered features, and run on cloud infrastructure to support predictive maintenance, mobile ordering, and other use cases. The goal is to accelerate clients' data and platform value chains, delivering measurable cost savings and operational improvements.
Company Size
1,001-5,000
Company Stage
Pre-seed
Total Funding
$1.3M
Headquarters
Naperville, Illinois
Founded
2000
Simplify's Take
What believers are saying
- Qarik acquisition bolsters Egen's Google Cloud AI expertise across 700 specialists.
- Egen serves nine industries including healthcare and manufacturing with data platforms.
- High talent retention supports cloud modernization for public sector clients.
What critics are saying
- Qarik cultural clashes cause 50-70% key Google Cloud engineer attrition in 6-12 months.
- Infosys undercuts Egen's pricing, capturing 20-30% mid-market clients in 12-24 months.
- H-1B caps in 2026 block India talent, delaying 25% projects in 3-6 months.
What makes Egen unique
- Egen built 250+ predictive maintenance models for Caterpillar ingesting 12 billion IoT readings daily.
- Egen acquired Qarik to lead Google Cloud infrastructure, product, and AI services.
- Egen's ownership culture drives 90% employee satisfaction exceeding U.S. average.
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Company News
/PRNewswire/ -- Egen, a technology services company with leading capabilities across Google Cloud infrastructure, product and data engineering, and artificial...