AI/ML Development

Elfonze Technologies

AI/ML Developer designing and developing machine learning models and NLP solutions for production use. Collaborating on end-to-end ML pipelines and integrating models into applications.

Posted 7/29/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing machine learning models and NLP solutions, with a strong focus on building end-to-end ML pipelines and integrating AI/ML models into applications. Proficient in Python and familiar with cloud platforms and MLOps tools to ensure effective model deployment and performance monitoring.

Highest-signal resume keywords

Machine Learning DevelopmentNatural Language ProcessingPython ProgrammingModel Deployment via REST APIsCloud Platforms (AWS, Azure, GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningNatural Language ProcessingPythonTensorFlowPyTorchScikit-learnHugging FaceSpaCyModel Evaluation

Soft Skills

CollaborationDocumentation

Tools & Technologies

FastAPIFlaskMLOps ToolsVector DatabasesPineconeWeaviateFAISS

Industry Keywords

AIMLLLMsPrompt EngineeringData StructuresAlgorithmsStatistical Concepts

Tech Stack

Tools & technologies

AWSAzureCloudFlaskGoogle Cloud PlatformPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Design and develop machine learning models, deep learning architectures, and NLP solutions for production use
Build and maintain end-to-end ML pipelines — from data ingestion and preprocessing through to model training, evaluation, and deployment
Integrate AI/ML models into existing applications and APIs
Fine-tune and evaluate large language models (LLMs) for specific business use cases
Collaborate with data engineers to ensure high-quality, well-structured training data
Monitor model performance in production and implement retraining strategies
Research and evaluate emerging AI frameworks, tools, and techniques
Document models, experiments, and technical decisions clearly

Requirements

What you’ll need

3+ years of experience in AI/ML development
Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, or scikit-learn
Experience with NLP frameworks (Hugging Face, spaCy, LangChain)
Familiarity with LLMs and prompt engineering (OpenAI, Anthropic, Gemini, etc.)
Experience deploying models via REST APIs (FastAPI, Flask)
Solid understanding of data structures, algorithms, and statistical concepts
Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps tools
Experience with vector databases (Pinecone, Weaviate, FAISS) is a plus

Benefits

Comp & perks

Remote work options