Job Description of Machine Learning Engineer

Job Summary:

We are looking for a highly skilled Machine Learning Engineer to design, develop, and deploy machine learning models that drive business intelligence and automation. You will work closely with data scientists, software engineers, and business stakeholders to build scalable AI solutions. This role requires expertise in data processing, model training, and optimizing machine learning algorithms for real-world applications.

Key Responsibilities:

• Design, develop, and optimize machine learning models for predictive analytics, NLP, computer vision, or recommendation systems.
• Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions.
• Implement and fine-tune algorithms to improve model accuracy and performance.
• Develop scalable data pipelines and integrate models into production environments.
• Ensure model interpretability, security, and compliance with industry standards.
• Use MLOps practices to automate and streamline deployment, monitoring, and retraining.
• Stay updated with the latest advancements in AI and machine learning technologies.

Requirements:

• Experience – 3+ years in machine learning, deep learning, or AI-driven application development.
• Education – Bachelor’s or Master’s in Computer Science, Data Science, AI, or related fields.
• Technical Skills – Strong programming skills in Python, R, or Java.
• ML Frameworks – Proficiency in TensorFlow, PyTorch, or Scikit-learn.
• Data Handling – Experience with SQL, NoSQL, and cloud-based data solutions.
• MLOps & Deployment – Knowledge of Docker, Kubernetes, and CI/CD for ML models.
• Soft Skills – Strong analytical thinking, problem-solving, and teamwork abilities.

Be part of a team that builds cutting-edge AI solutions to solve real-world challenges.