AI​/ML Engineer

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.

• 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.

• 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:
  Tensor Flow, 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 No
  
  SQL 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.

• Experience with Generative AI technologies and Large Language Models (LLMs).
• Hands-on experience with Lang Chain, Llama Index, 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.

• Python, SQL, Tensor Flow, PyTorch, Scikit-learn, Pandas, Num Py, Apache Spark, MLflow, Docker, Kubernetes, AWS/Azure/GCP, Git, REST APIs, Generative AI & LLMs

• 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.

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