Machine Learning Engineer

4 weeks ago

new delhi, India Talent Hub Acquisition Resource LLP Full time
Machine Learning EngineerType: Full-TimeExperience: Minimum 4+ years in AI MLLocation: Bangalore, Mumbai & DelhiWork type: Currently Remote
Job Summary:As a Machine Learning Engineer, you will be at the forefront of cutting-edge machine learning technologies. You will collaborate with a multi-disciplinary team of researchers, software engineers, and data scientists to develop, implement, and deploy machine learning models to solve complex problems.
Key Responsibilities:
Large Language Model (LLM) Expertise:Model Architecture and Design:
Familiar with foundational LLM architectures like Transformers, GPT, and BERT. Understands attention mechanisms, positional encodings, and other critical components.Pre-trained LLM Deployment:
Proficient in deploying models like GPT-4 and BERT, optimizing with techniques such as quantization and distillation.Fine-tuning Expertise:
Experienced in customizing LLMs for specific tasks using strategies like few-shot learning and transfer learning.Training from Scratch:
Skilled in curating diverse datasets, handling distributed training, maintaining model stability, and optimizing hyperparameters.Research and Algorithm Development:Collaborate with data scientists to conceptualize machine learning strategies.Design and implement machine learning algorithms ensuring fairness and interpretability.Data Management and Preprocessing:Oversee data acquisition, storage, and distribution, ensuring quality and privacy compliance.Perform data preprocessing, including normalization, transformation, and feature engineering.Model Implementation and Validation:Develop models using frameworks like TensorFlow or PyTorch, focusing on scalability and efficiency.Implement rigorous validation processes like cross-validation and A/B testing.Optimization and Scaling:Optimize models for computational efficiency and accuracy.Collaborate with infrastructure engineers to scale models for large datasets and high-throughput requirements.Deployment:Translate research algorithms into production-level code for integration into platforms.Work with DevOps teams to deploy models in a cloud environment, ensuring maintainability and scalability.Performance Monitoring and Maintenance:Develop tools to monitor model performance and address degradation or anomalies.Update models based on performance metrics or new data.Collaboration and Communication:Collaborate with stakeholders, developers, and engineers to integrate ML solutions.Articulate machine learning concepts and model outcomes to non-technical stakeholders.Continued Learning and Mentorship:Stay updated with the latest research and trends in machine learning.Mentor junior engineers and interns, sharing knowledge and best practices.
Qualifications:Required:● Bachelor’s Degree in Computer Science, Engineering, Statistics, or a related field.● Minimum of 5 years of experience in machine learning or a related field.● Strong programming skills in Python, C++, or other relevant languages.● Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.● Strong knowledge of machine learning algorithms and principles.● Proven expertise in handling, training, and deploying Large Language Models (LLMs).● Experience with cloud computing services (AWS, Azure, GCP, etc.).● Solid understanding of software engineering best practices.● Exceptional problem-solving abilities.● Excellent communication skills, both written and verbal.

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