Senior Engineer - AI/ML/Data Scientist

6 - 8 Years
Full Time

Roles and Responsibilities

  • Design and develop AI models and algorithms using machine learning techniques and tools, with a focus on NLP.  
  • Work with large datasets, including cleaning, preprocessing, and transforming data to ensure its quality and relevance.  
  • Collaborate with cross-functional teams to identify and understand business requirements, use cases, and project objectives.  
  • Implement and integrate machine learning models into production systems and workflows, and optimize their performance.  
  • Develop tools and frameworks for automating the data engineering process, data ingestion, and feature engineering. 
  •  Stay up-to-date with the latest research and industry trends in machine learning and NLP, and apply them to improve our models and solutions.  
  • Document and communicate technical specifications, algorithms, and results to both technical and non-technical stakeholders.

Qualifications Required

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.  
  • 4 to 10 years of experience in building AI models with NLP and data engineering. 
  • Strong programming skills in Python, and familiarity with libraries such as PyTorch, TensorFlow, and Scikit-Learn.
  • Solid understanding of machine learning concepts, algorithms, and statistical methods.  Experience with data preprocessing, cleaning, and feature engineering   techniques. 
  • Strong analytical and problem-solving skills, with attention to detail.
  • Excellent communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences.

Skills and Experience Required

  • Experience with cloud-based machine learning platforms and services, such as AWS SageMaker or Google Cloud ML Engine.  
  • Knowledge of distributed computing, parallel processing, and big data technologies such as Spark and Hadoop.  
  • Familiarity with natural language processing techniques and tools, such as spaCy and NLTK.  
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.  
  • If you are an experienced AI and ML Engineer with a passion for building innovative solutions and want to join a dynamic and collaborative team, we encourage you to apply for this exciting opportunity

Why you'll love working with us:

  • BRING YOUR PASSION AND FUN. Corporate culture woven from highly diverse perspectives and insights.  
  • BALANCE WORK AND PERSONAL TIME LIKE A BOSS. Resources and flexibility to more easily integrate your work and your life.  
  • BECOME A CERTIFIED “SMARTY PANTS.” Ongoing training and development opportunities for even the most insatiable learner.  
  • START-UP SPIRIT (Good ten plus years, yet we maintain it) 

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