AI / Machine Learning Engineer

Job Description

Overview:

We are seeking a highly skilled and innovative AI / Machine Learning Engineer to design, develop, and deploy machine learning models and AI-driven solutions that solve complex business problems. This role focuses on building scalable ML systems, training predictive models, and integrating AI capabilities into production environments.

The AI/ML Engineer works closely with Data Scientists, Software Engineers, Product Teams, and Data Engineers to turn data into intelligent, production-ready systems.

Key Responsibilities:

• Machine Learning Model Development
• Design, build, and train machine learning and deep learning models
• Develop predictive, classification, recommendation, and NLP models
• Perform feature engineering, data preprocessing, and dataset optimization
• Evaluate model performance using appropriate metrics (accuracy, precision, recall, F1, AUC, etc.)
• Fine-tune hyperparameters to improve model performance and efficiency

AI System Development & Deployment (MLOps)

• Deploy machine learning models into production environments
• Build scalable ML pipelines and automated workflows
• Implement model monitoring, versioning, and retraining systems
• Integrate AI models into APIs, web apps, or enterprise systems
• Optimize models for speed, scalability, and cost efficiency

Data Handling & Engineering Collaboration

• Work with structured and unstructured datasets (text, images, audio, video)
• Collaborate with data engineers to build clean, reliable data pipelines
• Ensure data quality, integrity, and preprocessing standards
• Explore large datasets to extract patterns and insights

Research & Innovation

• Research and implement state-of-the-art AI/ML algorithms
• Experiment with deep learning frameworks (CNNs, RNNs, Transformers, LLMs)
• Stay updated with advancements in generative AI and large language models
• Prototype AI solutions for business use cases

Collaboration & Communication

• Work closely with product managers and stakeholders to define AI solutions
• Translate business problems into machine learning solutions
• Communicate model performance and technical insights clearly
• Support cross-functional teams in AI adoption

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, AI, Mathematics, or related field
• Strong knowledge of machine learning algorithms and statistical modeling
• Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch)
• Experience with data processing tools (Pandas, NumPy, SQL)
• Understanding of model deployment and MLOps concepts
• Strong problem-solving and analytical skills
• Experience working with large datasets
• Preferred (Nice-to-Have):
• Experience with deep learning, NLP, computer vision, or generative AI
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Experience with Docker, Kubernetes, and CI/CD pipelines
• Experience building LLM-based applications (GPT, BERT, LLaMA, etc.)
• Knowledge of data engineering tools (Spark, Hadoop)
• Contributions to open-source AI projects or research papers

Reporting To:

• Head of Data Science / AI Lead / Engineering Manager / CTO
• Employment Type & Work Setup:
• Full-time / Contract-based
• Onsite / Hybrid / Remote (depending on company structure)
• Tech-driven environments (startups, enterprise AI teams, SaaS companies)
• Flexible hours in agile development teams
• Work Environment & Conditions:
• Software engineering and data-driven development environment
• Agile, sprint-based product teams
• High collaboration with engineering, product, and analytics teams
• Focus on innovation, experimentation, and production scalability
• Fast-paced, research-driven technical environment