Machine Learning Engineer

Overview

Design and implement advanced prompt engineering strategies, including ToT, CoT, and other optimization methods. Fine-tune pre-trained foundational models using AWS services such as Amazon SageMaker and AWS Bedrock. Develop and optimize ML workflows for efficient training, inference, and deployment. Leverage JumpCloud for identity and security management within the ML environment. Collaborate with data scientists, engineers, and business stakeholders to integrate AI-driven solutions. Monitor model performance and continuously refine prompts and training methodologies for better accuracy. Stay updated with the latest research and trends in prompt engineering and ML fine-tunin

5+ years of experience in machine learning, AI, or NLP. Proficiency in prompt engineering with a focus on Tree of Thought (ToT) and Chain of Thought (CoT). Hands-on experience in fine-tuning and deploying models using Amazon SageMaker and AWS Bedrock. Strong programming skills in Python, TensorFlow, PyTorch, or similar ML frameworks. Experience working with AWS cloud services for model training and deployment. Familiarity with JumpCloud and cloud-based identity/security management. Strong analytical and problem-solving skills with an ability to work in cross-functional teams

Job Type: Full-time

Pay: ₹1,200,000.00 - ₹1,800,000.00 per year

Benefits:

• Cell phone reimbursement
• Health insurance
• Paid sick time
• Provident Fund
• Work from home

Schedule:

• Night shift
• Rotational shift

Supplemental Pay:

• Overtime pay
• Performance bonus
• Shift allowance
• Yearly bonus

Experience:

• Machine learning: 5 years (Required)

Location:

• Marathahalli, Bengaluru, Karnataka (Preferred)

Work Location: In person