Requirements Summary
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Technology, or related field. 2. Technical Skills: Programming Languages: Proficiency in Python, Java, or C++.
Technical Tools
Machine Learning EngineerData
1. Educational Qualifications:Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Technology, or related field.2. Technical Skills:Programming Languages: Proficiency in Python, Java, or C++.AI/ML Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar.Automation Tools: Familiarity with RPA tools like UiPath, Automation Anywhere, or Blue Prism.Data Handling: Strong in data preprocessing, feature engineering, and data visualization using Pandas, NumPy, Matplotlib, or similar.Cloud Platforms: Experience with AWS, GCP, or Azure services related to AI/ML and automation.APIs & Integration: Experience building and consuming REST APIs.DevOps/CI-CD: Familiarity with tools like Git, Jenkins, Docker, Kubernetes is a plus.3. Soft Skills:Strong problem-solving and analytical skills.Ability to work independently and in a team.Clear communication skills (written and verbal).Ability to understand and translate business requirements into AI/automation solutions.4. Experience:Prior experience (1–3 years) in AI, machine learning, data science, or automation projects preferred.Internship or academic project experience in AI/ML/RPA for fresher roles.5. Certifications (Optional but Valuable):AI/ML certifications from Coursera, Google, AWS, Microsoft, etc.RPA Developer certifications (e.g., UiPath Certified RPA Associate).6. Bonus Skills:Familiarity with NLP, computer vision, or reinforcement learning.Experience with workflow engines like Apache Airflow.Exposure to process mining and automation strategy. 
