Information Technology
Full-Time
Fork Technologies
Overview
Job Description
We are seeking a skilled and passionate Machine Learning Engineer to join our team in Chennai. The ideal candidate will possess a solid foundation in machine learning algorithms and cloud platforms, with hands-on experience in building and deploying Gen AI-based solutions. This is a hybrid role, requiring in-office presence three days a week.
Key Responsibilities
We are seeking a skilled and passionate Machine Learning Engineer to join our team in Chennai. The ideal candidate will possess a solid foundation in machine learning algorithms and cloud platforms, with hands-on experience in building and deploying Gen AI-based solutions. This is a hybrid role, requiring in-office presence three days a week.
Key Responsibilities
- Design, develop, and deploy machine learning models across various domains using supervised, unsupervised, and reinforcement learning techniques.
- Implement and manage ML workflows and experiments using platforms like MLflow or Kubeflow.
- Build, test, and deploy Generative AI solutions, such as intelligent chatbots and virtual assistants, leveraging techniques like Retrieval-Augmented Generation (RAG).
- Utilize Gen AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar to create end-to-end applications.
- Collaborate with data engineers, product managers, and domain experts to translate business requirements into scalable ML solutions.
- Leverage Databricks and Azure AI Services to build and optimize models, pipelines, and data workflows.
- Work across cloud platforms such as Azure, AWS, or GCP for scalable deployment and integration of ML models.
- Analyze and preprocess large datasets using Python libraries like Pandas, NumPy, and Scikit-learn.
- Stay updated with the latest trends in machine learning, Gen AI, and cloud technologies, and proactively apply them to ongoing projects.
- Strong understanding of machine learning algorithms, techniques, and industry best practices.
- Proven experience working with Databricks, Azure AI Services, and at least one other cloud platform (AWS or GCP preferred).
- Deep expertise with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Hands-on experience with MLflow or Kubeflow for ML lifecycle management.
- Proficient in Python programming and data analysis.
- Demonstrated experience building Generative AI applications using RAG techniques.
- Practical experience with one or more Gen AI frameworks/tools like LangChain, LangGraph, AutoGen, CrewAI, etc.
- Excellent problem-solving and communication skills.
- Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field.
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