Hyderabad, Telangana, India
Information Technology
Full-Time
Crest Infosystems Pvt. Ltd.
Overview
Job Overview
We are looking for a skilled Senior Machine Learning Engineer or AI Model Developer with at least 5 years of hands-on experience in building, training, and deploying custom AI models.
The ideal candidate will have practical experience in developing and fine-tuning machine learning models rather than integrating pre-built models via APIs.
If you have a strong foundation in machine learning, a passion for building robust models, and a desire to take on innovative challenges, we want to hear from you.
Key Responsibilities
We are looking for a skilled Senior Machine Learning Engineer or AI Model Developer with at least 5 years of hands-on experience in building, training, and deploying custom AI models.
The ideal candidate will have practical experience in developing and fine-tuning machine learning models rather than integrating pre-built models via APIs.
If you have a strong foundation in machine learning, a passion for building robust models, and a desire to take on innovative challenges, we want to hear from you.
Key Responsibilities
- Design, develop, and implement custom machine learning models tailored to specific business problems.
- Train, optimize, and validate machine learning models using real-world datasets and advanced techniques.
- Collaborate with cross-functional teams to understand requirements and deliver AI-driven solutions.
- Build and maintain end-to-end machine learning pipelines from data preprocessing to model deployment.
- Continuously improve the performance, scalability, and reliability of AI models in production environments.
- Perform model evaluations and select the best-performing models for real-world applications.
- Ensure proper documentation of model development processes and results.
- Stay current with industry trends, algorithms, and new technologies related to machine learning and AI.
- 5+ years of hands-on experience in building custom machine learning models (not just using APIs or pre-built models).
- Proficiency in machine learning frameworks such as TensorFlow, PyTorch, Keras, or similar.
- Strong programming skills in Python, with experience in libraries such as NumPy, pandas, scikit-learn, and others.
- Experience in training and fine-tuning machine learning models using real datasets.
- Knowledge of machine learning algorithms, model evaluation, and feature engineering.
- Hands-on experience with data preprocessing, model optimization, and hyperparameter tuning.
- Experience with cloud-based machine learning tools (AWS, GCP, or Azure) is a plus.
- Ability to mentor and groom junior engineers in AI/ML best practice.
- A degree in Computer Science, Data Science, Mathematics, or a related field.
- Experience in specific areas like Natural Language Processing (NLP), Computer Vision, or Deep Learning is a plus.
- Experience with Vector Databases (FAISS, Pinecone) for Generative AI applications.
- Familiarity with MLOps practices, AI model monitoring, and optimization.
- Knowledge of cloud-based AI deployments (AWS/GCP/Azure).
- Understanding of MLOps and continuous model improvement best practices is a bonus.
- Strong analytical thinking and problem-solving skills.
- Ability to work collaboratively in a team environment and communicate technical concepts clearly.
- A passion for learning and applying new machine learning technologies.
- High attention to detail and a focus on model performance and quality.
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