AI/ML Engineer (Must have 2-4 Years Of Experience)

Our client is seeking an experienced AI/ML Engineer (2-4 years of experience) to join their innovative team. This is an exciting opportunity for professionals who have hands-on experience in building and deploying machine learning models and AI systems. You will play a key role in designing, developing, and optimizing machine learning solutions to solve complex business challenges.

In this role, you will have the chance to work on advanced AI projects, collaborate with cross-functional teams, and make impactful contributions to cutting-edge AI applications. This position is perfect for those who are passionate about AI/ML technology, possess strong problem-solving skills, and are looking to further advance their careers.

• Design, develop, and deploy machine learning models for various AI-driven applications, such as predictive analytics, recommendation systems, NLP, and computer vision.
• Lead end-to-end machine learning model development, including data collection, preprocessing, model selection, training, and deployment.
• Develop and optimize machine learning pipelines and workflows for scalable and efficient processing.
• Collaborate with data engineers, data scientists, and software developers to integrate AI models into production systems.
• Implement best practices for model evaluation, performance tuning, and hyperparameter optimization.
• Lead the development of advanced AI/ML solutions, including experimenting with novel algorithms and techniques.
• Utilize cloud platforms (AWS, GCP, Azure) for scalable deployment of machine learning models and services.
• Optimize AI systems for performance, scalability, and cost efficiency.
• Mentor junior team members, providing guidance on AI/ML methodologies, best practices, and career development.
• Collaborate with stakeholders to understand business needs and translate them into actionable AI/ML solutions.

• 2-4 years of professional experience in AI/ML, data science, or a related field with a proven track record of deploying AI solutions in production.
• Strong proficiency in Python, including libraries such as NumPy, Pandas, Scikit-Learn, and TensorFlow or PyTorch.
• In-depth knowledge of machine learning algorithms, deep learning architectures, and data preprocessing techniques.
• Hands-on experience with model evaluation, hyperparameter tuning, and optimization.
• Experience with cloud platforms (AWS, GCP, or Azure) and deployment of machine learning models in production environments.
• Solid understanding of data pipelines, ETL processes, and automation tools.
• Strong experience working with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, XGBoost).
• Experience with natural language processing (NLP), computer vision (CV), or reinforcement learning (RL) is a plus.
• Understanding of MLOps practices, including model versioning, CI/CD pipelines, and model monitoring.
• Proficiency in version control systems (e.g., Git) and collaborative development tools.

• Experience with large-scale, real-time data processing frameworks (e.g., Apache Kafka, Apache Spark).
• Knowledge of advanced deep learning techniques, such as GANs, transformers, or BERT.
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Experience with distributed machine learning systems.
• Exposure to AI ethics, fairness, and explainability in model development.
• Familiarity with data privacy regulations (e.g., GDPR, HIPAA) and ensuring compliance in AI solutions.

• Strong analytical and problem-solving skills, with the ability to tackle complex business problems using AI/ML techniques.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Strong leadership and mentoring skills, with the ability to guide and inspire junior team members.
• Detail-oriented and able to maintain high-quality standards in all deliverables.
• Ability to manage multiple projects simultaneously in a fast-paced environment.
• Collaborative team player who thrives in a cross-functional setting.
• Eagerness to stay up-to-date with the latest trends, tools, and research in AI and machine learning.

YMinds.AI is a premier talent solutions company specializing in sourcing and delivering elite developers with cutting-edge AI expertise. We support global enterprises and fast-growing startups by connecting them with engineers who excel in building intelligent, scalable, and future-ready systems. Our clients are at the forefront of AI innovation, and we enable their success by providing exceptional talent that accelerates product development and drives technological advancement.

AI Engineer, Machine Learning, Data Science, Python, TensorFlow, PyTorch, Scikit-Learn, AWS, GCP, Azure, Cloud Computing, Model Deployment, Deep Learning, MLOps, Natural Language Processing, Computer Vision, Data Pipelines, Hyperparameter Tuning, Mentorship, Distributed Systems.

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