Artificial Intelligence AnalystFull-time

Job description

Job Summary

The AI/ML Engineer will design, develop, deploy, and maintain machine learning and AI models for real-world applications. This role involves working with large datasets, building scalable pipelines, optimizing model performance, and collaborating with cross-functional teams to deliver AI-driven products and solutions.

Key Responsibilities

1. Machine Learning Model Development

• Design, build, and train machine learning models for classification, regression, clustering, recommendation, NLP, or computer vision tasks.
• Conduct feature engineering, data preprocessing, and model evaluation.
• Experiment with algorithms and hyperparameter tuning to improve performance.

2. Deep Learning & AI Solutions

• Develop and fine-tune deep learning models using TensorFlow, PyTorch, Keras, or similar frameworks.
• Work on advanced AI systems: NLP, LLMs, transformers, RNNs, CNNs, and generative models.
• Build AI pipelines for applications like chatbots, vision systems, predictive analytics, and automation.

3. MLOps & Deployment

• Deploy ML models into production using CI/CD, Docker, Kubernetes, MLflow, or Kubeflow.
• Monitor model performance, drift, and data quality in production environments.
• Build reusable and scalable ML pipelines for training and inference.

4. Data Engineering & Management

• Work with large datasets using Spark, Hadoop, or cloud-native big data tools.
• Extract, clean, and transform data for ML workloads.
• Ensure the quality, consistency, and reliability of training data.

5. Research & Innovation

• Stay updated with the latest advancements in AI, ML, deep learning, and LLMs.
• Research and prototype solutions for new business use cases.
• Evaluate new frameworks, algorithms, and tools.

6. Cross-functional Collaboration

• Work closely with product teams, data engineers, data scientists, and software developers.
• Translate business requirements into technical AI/ML solutions.
• Communicate results clearly to stakeholders.

Required Qualifications

• Bachelors or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field.
• Strong programming skills in Python (NumPy, Pandas, Scikit-learn).
• Hands-on experience with deep learning frameworks (TensorFlow, PyTorch).
• Strong understanding of machine learning algorithms and mathematical foundations.
• Experience with data preprocessing, model training, and evaluation.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.

Preferred Qualifications

• Experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI).
• Knowledge of big data tools (Spark, Hadoop).
• Experience with NLP, computer vision, LLM fine-tuning, or generative AI.
• Understanding of microservices, API development, and scalable architectures.
• Experience with GPU optimization and distributed training.
• Background in statistics, mathematics, or scientific computing.

Soft Skills

• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
• Ability to handle multiple projects in a fast-paced environment.
• Curiosity, innovation mindset, and eagerness to learn new technologies

Role: Data Analyst

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Business Intelligence & Analytics