Senior Machine Learning Engineer

Looking for Machine Learning Engineer for Bangalore location

Most important points:

• Must be OK for independent contributor role
• Thorough expertise in LLMs
• Able to join within 15 days
• It is a complete work from office role (Whitefield, Bangalore)

Interview process: Total 3 rounds of interview:

• Round 1: Technical round on call
• Round 2: Technical round + Coding test on video call
• Round 3: Managerial + HR round

PFB the JD:

Role Overview

We are seeking a skilled and innovative Machine Learning Engineer with expertise in Large Language Models (LLMs) to join our team. The ideal candidate has hands-on experience developing, fine-tuning, and deploying LLMs, alongside a deep understanding of the machine learning lifecycle. This role involves building scalable AI solutions, collaborating with cross-functional teams, and contributing to cutting-edge AI initiatives.

Key Responsibilities

• Model Development & Optimization:
• - Develop, fine-tune, and deploy LLMs like OpenAI's GPT, Anthropic's Claude, Googles Gemini, or AWS Bedrock.
• - Customize pre-trained models for specific use cases, ensuring high performance and scalability.
• Machine Learning Pipeline Design:
• - Build and maintain end-to-end ML pipelines, from data preprocessing to model deployment.
• - Optimize training workflows for efficiency and accuracy.
• Integration & Deployment:
• - Work closely with software engineering teams to integrate ML solutions into production environments.
• - Ensure APIs and solutions are scalable and robust.
• Experimentation & Research:
• - Experiment with new architectures, frameworks, and approaches to improve model performance.
• - Stay updated with advancements in LLMs and generative AI technologies.
• Collaboration:
• - Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to align ML solutions with business goals.
• - Provide mentorship to junior team members as needed.

Required Qualifications

• Experience:
• At least 5 years of professional experience in machine learning or AI development.
• Proven experience with LLMs and generative AI technologies.
• Technical Skills:
• Proficiency in Python (required) and/or Java (bonus).
• Hands-on experience with APIs and tools like OpenAI, Anthropic's Claude, Google Gemini, or AWS Bedrock.
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Strong understanding of data structures, algorithms, and distributed systems.
• Cloud Expertise:
• Experience with AWS, GCP, or Azure, including services relevant to ML workloads (e.g., AWS SageMaker, Bedrock).
• Data Engineering:
• Proficiency in handling large-scale datasets and implementing data pipelines.
• Experience with ETL tools and platforms for efficient data preprocessing.
• Problem Solving:
• Strong analytical and problem-solving skills, with the ability to debug and resolve issues quickly.

Preferred Qualifications

• Experience with multi-modal models and generative AI for images, text, or other modalities.
• Understanding of ML Ops principles and tools (e.g., MLflow, Kubeflow).
• Familiarity with reinforcement learning and its applications in AI.
• Knowledge of distributed training techniques and tools like Horovod or Ray.
• Advanced degree (Masters or Ph.D.) in Computer Science, Machine Learning, or a related field.