Engineering Manager-AI/ML at Egen

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI/MLIndustries

Requirements

At least 5 years of experience in designing & building ML/AI applications for customers and deploying them into production
At least 8 years of Software engineering experience in building Secure, scalable and performant applications for customers
At least 2 years of experience leading and mentoring ML/data science teams (4+ team members)
Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI
Hands on customer experience with RAG solution or fine tuning of LLM model
Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools
Experience working with the end-to-end steps involving data cleaning, exploratory data analysis, dealing 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
Good to Have: Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent
Good to Have: Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure
Good to Have: Experience with AutoML and vision techniques
Good to Have: Master’s degree in statistics, machine learning or related fields

Responsibilities

Play a key role in designing, developing and productionalizing ML/GenAI applications by evaluating models, training and/or fine tuning them
Take ownership of projects from conception to deployment, collaborating with engineers and stakeholders to ensure successful project delivery
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
Lead the end-to-end design and architecture of scalable, reliable, and cost-effective Generative AI solutions, including designing RAG (Retrieval-Augmented Generation) pipelines, agentic workflows, and model fine-tuning strategies
Act as the senior-most developer, writing clean, high-quality, and scalable code, including building core components for prompt engineering, vector search, data processing, model evaluation, and inference serving

Skills

Key technologies and capabilities for this role

MLGenAINLPVision AIConversational AIDocument ExtractionLLMPrompt EngineeringRAGModel Fine-TuningSoftware EngineeringGCPMachine Learning PipelinesData Preprocessing

Questions & Answers

Common questions about this position

What experience level is required for this Engineering Manager-AI/ML role?

Candidates need at least 5 years of experience in designing and building ML/AI applications for customers and deploying them into production, at least 8 years of software engineering experience in building secure, scalable, and performant applications, and at least 2 years leading and mentoring ML/data science teams of 4+ members.

What technical skills and tools are required for this position?

Expertise in Python, Numpy, Pandas, and ML libraries like XGBoost, TensorFlow, PyTorch, Scikit-learn, and LangChain is required, along with experience in NLP, GenAI, RAG pipelines, LLM fine-tuning, and deploying ML pipelines on GCP or equivalent cloud platforms.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What makes a strong candidate for this Engineering Manager-AI/ML position?

A strong candidate has hands-on experience leading ML teams, building and deploying production ML/GenAI applications including RAG and LLM fine-tuning, deep expertise in ML algorithms and software architecture, and the ability to own projects from conception to deployment while writing high-quality scalable code.

Egen

Provides API strategies and cloud solutions

About Egen

Egen Solutions specializes in API strategies and cloud solutions to help businesses modernize and scale. They offer two main paths for application development: Rebuild, which improves existing functionalities, and Replace, which creates new applications in the cloud. Egen stands out by providing tailored digital transformation services that focus on delivering measurable ROI and quick results. Their goal is to enhance productivity and reduce operational costs for clients across various sectors, including retail and public health.

Naperville, IllinoisHeadquarters

2000Year Founded

$1.3MTotal Funding

PRE_SEEDCompany Stage

Consulting, Consumer Software, Enterprise SoftwareIndustries

1,001-5,000Employees

Benefits

Fun team outings

Health insurance

401(K)

Dental & vision insurance

Paid time-off

Food & drinks

Parental leave

Risks

Emerging tech startups offering similar solutions at lower costs threaten Egen's market share.

Rapid technological changes may outpace Egen's ability to update its solutions.

Economic downturns in retail and e-commerce could impact Egen's revenue.

Differentiation

Egen offers tailored digital transformation services with a focus on ROI and innovation.

The company specializes in secure, dynamic API strategies for seamless business growth.

Egen provides two application development paths: Rebuild and Replace, ensuring flexibility.

Upsides

Rising demand for cloud-native applications boosts Egen's cloud solutions offerings.

Growing interest in API-first development enhances Egen's API strategies and integration services.

Increased focus on cybersecurity in API development aligns with Egen's secure solutions.

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