AI/ML Engineer

Key Responsibilities:

• Design, develop, and deploy machine learning and deep learning models for real-world applications.
• Preprocess and analyze large-scale structured and unstructured datasets.
• Implement and optimize ML algorithms, feature engineering, and model selection.
• Develop AI pipelines for model training, validation, and deployment.
• Use MLOps techniques for model monitoring, retraining, and scaling.
• Work with cloud platforms (AWS, Azure, GCP) for model deployment and scalability.
• Collaborate with data scientists, software engineers, and product teams to integrate AI/ML solutions into business applications.
• Research and experiment with the latest AI/ML frameworks, tools, and techniques.

Required Skills & Qualifications:

• 2-5 years of hands-on experience in AI/ML development.
• Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Proficiency in programming languages: Python, R, or Java.
• Experience with data processing and ETL using Pandas, NumPy, SQL, and Spark.
• Familiarity with NLP, Computer Vision, or Reinforcement Learning is a plus.
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker/Kubernetes.
• Experience in MLOps, CI/CD for ML pipelines, and tools like MLflow, Kubeflow.
• Knowledge of big data technologies (Hadoop, Spark) is a plus.
• Strong problem-solving skills, analytical thinking, and ability to work in a team.

Job Type: Full-time

Pay: ₹700,000.00 - ₹800,000.00 per year

Application Question(s):

• What is your current CTC?
• What is your Expected CTC?
• what is your experience into ML Engineer

Work Location: In person