AI/ML Engineer

An AI/ML Engineer is responsible for designing, developing, and deploying machine learning models and artificial intelligence systems that solve real-world problems. The role involves working with large datasets, building predictive models, optimizing algorithms, and integrating ML solutions into production environments. AI/ML Engineers work closely with data scientists, software engineers, and product teams to deliver scalable and efficient AI-driven applications.

Key Responsibilities

• Develop, train, test, and deploy machine learning and deep learning models.
• Collect, preprocess, and analyze large datasets for model training and evaluation.
• Research and implement cutting-edge ML algorithms and techniques.
• Build end-to-end ML pipelines (data ingestion → model training → evaluation → deployment).
• Optimize model performance (accuracy, latency, scalability).
• Collaborate with data scientists to translate business problems into ML solutions.
• Integrate ML models into production systems using APIs, cloud services, or MLOps tools.
• Monitor, maintain, and retrain models in production to ensure long-term performance.
• Document model architecture, data workflow, and implementation details.

Required Skills

• Strong experience with Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Proficiency in data processing tools (Pandas, NumPy, Spark).
• Knowledge of statistics, probability, and linear algebra.
• Experience with machine learning algorithms (regression, classification, NLP, CV, deep learning, etc.).
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Understanding of MLOps tools (MLflow, Kubeflow, Docker, Kubernetes, CI/CD).
• Strong problem-solving and analytical skills.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
• Experience with big data technologies (Hadoop, Spark).
• Hands-on experience with LLM integration or generative AI.
• Ability to build scalable ML architectures and work with REST APIs or microservices.

Soft Skills

• Excellent communication and collaboration skills.
• Ability to work in cross-functional teams.
• Strong attention to detail and documentation.
• Creative thinking and innovation mindset.

Job Type: Full-time

Work Location: In person