Minfy Technologies
From Minfy Technologies's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Data Scientist – ML, GenAI & Agentic AI
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
Strong academic foundation in statistics, probability, and machine learning
Core Experience
5–8 years of professional experience in Data Science, Machine Learning, or Applied AI
Hands-on experience building, training, and deploying ML models in production environments
Strong understanding of data preprocessing, feature engineering, and model evaluation
Experience working on end-to-end ML workflows under guidance of senior/principal team members
Ability to translate business and product requirements into data-driven solutions
Machine Learning & MLOps
Model training and tuning
Model deployment and inference
Experience with common ML algorithms using scikit-learn, TensorFlow, or PyTorch
Model versioning
Experiment tracking
Working knowledge of Docker and exposure to Kubernetes-based deployments
Experience collaborating with ML engineers to operationalize models
Generative AI & LLMs
Hands-on experience developing LLM-powered applications using Amazon Bedrock or similar platforms
Experience building or contributing to Retrieval-Augmented Generation (RAG) pipelines, including:
Document ingestion and chunking
Embedding generation
Similarity search using vector databases
Practical knowledge of prompt engineering, prompt tuning, and output evaluation
Understanding of common LLM failure modes such as hallucinations and grounding issues
Ability to evaluate LLM responses for accuracy, relevance, and safety
Agentic AI (Growing Expertise)
Exposure to Agentic AI concepts and frameworks such as AgentCore
Simple Autonomous agents or workflows
Multi-step reasoning with predefined tools
Familiarity with tool-calling, agent orchestration, and workflow automation
Guardrails
Human-in-the-loop mechanisms
Logging and observability for agent behavior
S3, Lambda, Redshift, IAM
Professional & Collaboration Skills
Strong Python programming skills and experience working with APIs
Ability to work effectively in cross-functional teams (product, engineering, analytics)
Willingness to learn quickly in a fast-evolving AI landscape
Comfortable taking technical guidance and implementing feedback
Clear communication of findings, limitations, and model behavior to non-technical stakeholders
Nice to Have
Initial exposure to AI governance, compliance, or ethical AI practices
Experience with monitoring LLM outputs and basic evaluation frameworks
Certifications in AWS, Machine Learning, or Data Science
Prior experience in enterprise or cloud-native environments
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