Remote Senior Machine Learning Engineer

Description:

• Understand business objectives and develop models to achieve them, along with tracking metrics for progress.
• Design and implement complex ML systems using classical ML, DL, and Foundation Models following best practices.
• Lead client communications by gathering requirements, managing expectations, and communicating deliverables.
• Wrangle, explore, and visualize data, identifying issues requiring data cleaning and differences in data distribution affecting performance post-deployment.
• Analyze model errors and devise strategies to overcome them.
• Deploy, maintain, and upgrade ML models and pipelines.
• Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication, and teamwork.

Requirements:

• 4+ years of ML engineering experience.
• Bachelor’s degree in Computer Science or related field.
• Proficiency in English.
• Experience with Python, ML libraries, and AI/ML frameworks like PyTorch, HuggingFace, TensorFlow, Keras, Scikit-learn, Spark, etc.
• Strong understanding of statistical, ML, and deep learning algorithms (NLP experience preferred).
• Experience in building GenAI solutions, including prompt engineering, fine-tuning and serving LLMs, search, embeddings, etc.
• Experience with MLOps, preferably in AWS (e.g., Sagemaker), and standard tools (e.g., MLFlow).
• Experience in visualizing and manipulating large datasets.
• Client-facing experience.
• Clean criminal record.

Benefits:

• Every other Friday off (26 extra days off per year).
• LokaLabs incubator.
• Explore and Relocation programs (three months work abroad or full international relocation).
• Remote and flexible work.
• Paid sick days and local holidays.
• Fitness subscription.