Machine Learning Engineer Job in FiftyFive
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- 4 to 8 Yrs
- Jaipur
- 4 months ago
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Job Description
- Job Description :- Machine Learning Engineer (with a focus on LLMs and interest in MLOps) Job Summary : We are looking for a dynamic and driven **Machine Learning Engineer** with expertise in building and fine-tuning **Large Language Models (LLMs)** and a keen interest in expanding their skills in **MLOps**. The ideal candidate will have 4+ years of experience in designing and deploying machine learning models, a strong understanding of NLP and deep learning frameworks, and a proactive approach to learning and adopting MLOps practices for scalable and reliable model deployment. Key Responsibilities Model Development and Training Develop, fine-tune, and evaluate **Large Language Models (LLMs)** such as **GPT**, **BERT**, and other transformer-based architectures. Apply advanced **NLP techniques** for tasks like text classification, summarization, question answering, and more. Preprocess, clean, and augment large datasets, ensuring the quality and relevance of training data. Implement optimization techniques to improve model efficiency and reduce computational costs. Research and Innovation Stay updated on cutting-edge advancements in **LLMs** and integrate state-of-the-art methodologies into model development. Experiment with **prompt engineering** and **fine-tuning** techniques to optimize LLM performance for specific use cases. Collaborate with cross-functional teams to brainstorm and implement innovative AI-driven solutions. Deployment and Scalability Collaborate with MLOps engineers to learn and contribute to the deployment of machine learning models into production environments. Build and maintain APIs for integrating ML models into applications using frameworks like **FastAPI** or **Flask**. Learn and implement **model monitoring** and **governance frameworks** to ensure model reliability and ethical compliance. Pipeline Development and Data Engineering Design data pipelines for feature engineering and real-time data processing. Collaborate with data engineers to automate data ingestion workflows and maintain high-quality datasets. Work on foundational MLOps tasks like **model versioning**, **artifact tracking**, and **performance monitoring** under guidance from experienced team members. Ideal Candidate Attributes Hands-on experience with **Large Language Models (LLMs)** and deep learning frameworks like **TensorFlow**, **PyTorch**, and **HuggingFace Transformers. Strong understanding of **Natural Language Processing (NLP)** concepts, such as tokenization, embeddings, and transfer learning. Proficiency in **Python** and a willingness to learn tools like **MLflow**, **Kubeflow**, and other MLOps frameworks. Eager to expand knowledge in **MLOps practices**, including automation, deployment pipelines, and monitoring systems. Effective problem-solving and communication skills to work collaboratively in a team-oriented environment. Preferred Qualifications Bachelors or Masters degree in Computer Science, Machine Learning, or a related field. Familiarity with cloud platforms such as **Azure**, **AWS**, or **GCP** for model deployment and scaling. Basic knowledge of **DevOps tools** like Docker and Kubernetes, with a willingness to develop these skills further. Exposure to data visualization tools like **Looker Studio** or **Power BI** for presenting model insights. Growth Opportunities Work closely with a team of experienced MLOps engineers to gain hands-on experience in **model orchestration**, **monitoring**, and **pipeline automation. Be part of innovative projects that combine **LLMs** with cutting-edge MLOps practices, ensuring scalability and reliability in production. Opportunity to lead LLM-focused projects as you grow, contributing to real-world applications of large-scale AI solutions.,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Machine Learning Engineer Job in FiftyFiveContact Details:
Company: FiftyFive TechnologiesLocation(s): Jaipur+ View Contact
Keyskills: NLP Deep Learning Python Azure AWS GCP DevOps Docker Kubernetes Power BI Machine Learning Engineer TensorFlow PyTorch
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