Machine Learning Engineer

Job Description

Hi connections!! we are hiring for ML Engineer Senior Machine Learning Engineer Platform Team • 5+ years • Full-Time • Bangalore --- Role Overview We are seeking a Senior Machine Learning Engineer with strong expertise in Python, EDA, ML model development, and hands-on experience in LLMOps using frameworks like LangChain and LangGraph. You will be instrumental in building and operationalizing scalable ML solutions on our AI-driven platform. Location Bangalore (preferred) | Hybrid options may be considered. Experience 5+ years in Machine Learning, Data Science, or related fields. Key Responsibilities  Design and develop ML models using supervised and unsupervised learning techniques for real-world business applications.  Build, deploy, and manage end-to-end ML pipelines.  Create robust data processing pipelines and APIs (preferably using FastAPI).  Manage deployment and monitoring of ML/DL models, ensuring model reproducibility, concept/data drift monitoring, and versioning of code, model, and data.  Handle data wrangling and feature engineering for both text and image datasets using libraries like Pandas, NumPy, OpenCV, PIL, Spacy, and Hugging Face Transformers.  Utilize ML frameworks such as Scikit-learn, PyTorch, TensorFlow, or Keras.  Work with LLMOps frameworks like LangChain, LangGraph, or similar to operationalize large language models (LLMs).  Implement prompt engineering and fine-tuning techniques for LLMs, including using APIs such as OpenAI, Mistral, Nova.  Collaborate closely with DevOps to integrate ML workflows with CI/CD pipelines, Docker, Kubernetes, and cloud platforms like AWS or GCP or Azure.  Contribute to scaling and maintaining ML systems leveraging MLflow, GitHub Actions, and monitoring stacks like ELK. Preferred Skills  Deep understanding of cloud-native ML practices and MLOps tools.  Strong programming and statistical analysis skills.  Hands-on experience with deep learning models and computer vision tasks.  Strong verbal and written communication skills.  Highly developed attention to detail and structured problem-solving abilities.  Ability to thrive in collaborative team environments.  Strong presentation skills to articulate technical solutions to non-technical stakeholders. Good to Have  Exposure to other LLM ecosystems (e.g., HuggingFace, Open Source LLMs).  Contributions to open-source ML/LLM frameworks.  Knowledge of advanced topics like Reinforcement Learning, GANs, or Diffusion Models. If you are interested kindly revert on supriya.kataram@codersbrain.com #MachineLearning hashtag #MLJobs hashtag #LLMOps hashtag #LangChain hashtag #LangGraph hashtag #DataScience hashtag #AIJobs hashtag #SeniorMLEngineer hashtag #PythonDevelopers hashtag #FastAPI hashtag #MLOps hashtag #DeepLearning hashtag #NLP hashtag #OpenAI hashtag #HuggingFace hashtag #BangaloreJobs hashtag #NowHiring hashtag #TechCareers hashtag #JoinOurTeam