Posted:2 hours ago|
Platform:
Hybrid
Full Time
We are looking for a Junior Machine Learning Engineer with 4 to 6 years of experience to join our AI/ML team. The candidate will wok on reinforcement learning agents, end-to-end ML workflows, and MLOps practices to build, deploy, and monitor scalable AI solutions. Key Responsibilities: Develop and deploy ML models and RL agents (e.g., Q-learning, policy gradients). Preprocess data, perform feature engineering, and tune models. Operationalize models using Docker, CI/CD (GitHub Actions, Jenkins). Monitor model performance and system health in production. Collaborate with data scientists, engineers, and DevOps teams. Stay updated on trends in RL, AI, and MLOps. Required Skills: Bachelors/Masters in Computer Science or related field. Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with RL frameworks (OpenAI Gym, Stable Baselines). Familiarity with Docker, Git, CI/CD tools, and REST APIs. Understanding of ML lifecycle and cloud deployment (AWS/GCP/Azure). Preferred Skills: Experience with SageMaker, Vertex AI, or similar tools. Knowledge of deep learning, NLP, or microservices. Strong analytical and collaborative skills.
Motivity Labs
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