About The Role

We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies.

Key Responsibilities

Design, develop, train, and optimize Machine Learning and Deep Learning models.
Build and maintain scalable data pipelines for model training and inference.
Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques.
Deploy machine learning models into production environments using MLOps best practices.
Work with large datasets and perform data preprocessing, feature engineering, and model evaluation.
Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions.
Monitor model performance and implement continuous improvements.
Research and evaluate emerging AI technologies, frameworks, and industry trends.
Develop APIs and microservices for AI model integration.
Ensure data security, model governance, and compliance standards are maintained.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field.
Strong programming skills in Python.
Experience with Machine Learning libraries such as:
- TensorFlow
- PyTorch
- Scikit-learn
- XGBoost
Strong understanding of:
- Supervised and Unsupervised Learning
- Deep Learning
- Neural Networks
- Natural Language Processing (NLP)
- Computer Vision
- Reinforcement Learning (preferred)
Experience with SQL and NoSQL databases.
Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow.
Experience working with cloud platforms such as AWS, Azure, or GCP.
Familiarity with version control systems like Git.

Preferred Qualifications

Experience with Generative AI technologies and Large Language Models (LLMs).
Hands-on experience with:
- LangChain
- LlamaIndex
- Hugging Face
- OpenAI APIs
- Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)
Experience in RAG (Retrieval-Augmented Generation) implementations.
Knowledge of MLOps tools and CI/CD pipelines.
Experience with Databricks and Apache Spark.

Technical Skills

Python
SQL
TensorFlow
PyTorch
Scikit-learn
Pandas
NumPy
Apache Spark
MLflow
Docker
Kubernetes
AWS/Azure/GCP
Git
REST APIs
Generative AI & LLMs

Soft Skills

Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills.
Ability to work independently and in a team environment.
Strong attention to detail and commitment to quality.

Nice to Have

AI Agent Development
Multi-Agent Systems
Prompt Engineering
Fine-tuning LLMs
Knowledge Graphs
MLOps Certification
Cloud Certifications (AWS, Azure, GCP)

Winaxis LLC

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