Hyderabad, Telangana, India
Information Technology
Full-Time
WonderBiz Technologies Pvt.
Overview
Job Description
Key Responsibilities :
Key Responsibilities :
- Analyze and solve complex problems, proposing innovative and effective machine learning solutions.
- Design, develop, implement, and maintain machine learning models and algorithms for product development projects.
- Stay up-to-date with the latest advancements in machine learning, GenAI, and related technologies.
- Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.
- Work on a wide variety of projects covering areas including Edge and Cloud computing, distributed and fault-tolerant systems, and containerization.
- Apply machine learning algorithms to generate accurate predictions and insights.
- Resolve data set problems, including data cleaning, preprocessing, and feature engineering.
- Implement and optimize machine learning pipelines.
- Work with and implement Large Language Models (LLMs) in at least one project.
- Utilize data analysis techniques and tools to extract meaningful information from datasets.
- Implement and work with LLM tools.
- Leverage expertise in SciPy for scientific and technical computing.
- Apply knowledge and experience in deep learning, TensorFlow, NLP, and related frameworks.
- Ensure the robustness, scalability, and performance of machine learning solutions.
- Document technical designs, solutions, and processes clearly and effectively.
- Participate in code reviews and contribute to maintaining high code and Skills :
- 5-10 years of prior experience in a Machine Learning Engineer or similar role.
- Strong programming skills with proficiency in at least one programming language (preferred Python).
- Understanding of basic full-stack development concepts.
- Deep knowledge of math, probability, statistics, and algorithms.
- Proven experience for GenAI implementations in at least one project.
- Proficiency in data analysis techniques and tools.
- Working experience in implementing LLMs tools.
- Expertise in SciPy for scientific and technical computing.
- Knowledge and experience in deep learning, TensorFlow, NLP, and related frameworks.
- Proficiency in at least one Database Management System (DBMS).
- Understanding of data structures, data modeling, and software architecture.
- Ability to write robust code in Python and R.
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
- Excellent communication skills, both written and verbal.
- Ability to work effectively in a team environment.
- Outstanding analytical and problem-solving Ability to learn quickly and adapt to new technologies.
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