Machine Learning Engineer

Company Overview

Company details are not specified. This section will be updated once the information is available.

Job Summary

The Machine Learning Engineer (Generative AI / LLM Deployment) will be responsible for developing and deploying machine learning models focused on generative artificial intelligence and large language models (LLMs). This role is essential in implementing advanced AI solutions that contribute to the organization's goals of innovation and efficiency.

Responsibilities

• Design, develop, and implement machine learning models that leverage generative AI techniques and large language models.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Conduct research to stay updated on the latest advancements in generative AI and LLM technologies.
• Evaluate model performance and make iterative improvements based on feedback and metrics analysis.
• Document processes and models for compliance and knowledge sharing within the team.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Strong programming skills in Python, with experience in machine learning libraries such as TensorFlow or PyTorch.
• Understanding of natural language processing (NLP) techniques and tools.
• Experience with deploying machine learning models in production environments.
• Familiarity with cloud platforms (AWS, Google Cloud, Azure) for AI model deployment.
• Excellent problem-solving skills and ability to work collaboratively in a team environment.
• Strong communication skills to convey complex ideas effectively.

Preferred Skills

• Experience in generative adversarial networks (GANs) or similar frameworks.
• Knowledge of industry-specific applications of AI and LLMs.
• Familiarity with data preprocessing and data engineering techniques.
• Understanding of ethical considerations in AI deployment.

Experience

Relevant experience in machine learning, with a focus on generative AI and LLMs preferred. Candidates with varying levels of experience may be considered depending on qualifications.

Environment

The typical work setting is in office locations in Bangalore and Mumbai.

Salary

Salary information is not specified. This section will be updated once the details become available.

Growth Opportunities

Potential career advancement opportunities are available within the company. This section will be updated with specific paths as more information is provided.

Benefits

Details regarding offered benefits, such as insurance, paid leave, and work policies, are not specified and will be included once available.