Junior Data Scientist

Company Description
Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.

Job Description
We are looking for a specialist to work with Large Language Models (LLMs) to design, develop, and integrate advanced AI solutions within our platform. The role involves automating data processing, generating actionable insights, and enhancing decision-making workflows. You will focus on building scalable, high-impact solutions that improve efficiency, accuracy, and user experience through natural language understanding.

Responsibilities:

• Design, develop, and optimize NLP models for text processing, classification, and information extraction.
• Apply machine learning and AI techniques to solve real-world business problems.
• Work with DBT, Snowflake, and Airflow to build robust and scalable data pipelines supporting ML workflows.
• Perform exploratory data analysis (EDA), feature engineering, and model evaluation.
• Deploy and monitor models in production, ensuring performance and scalability.
• Collaborate with cross-functional teams (Data Engineers, Product Managers, and Business Analysts) to translate requirements into actionable AI/ML solutions.
• Document processes, models, and workflows to maintain high standards of reproducibility and knowledge sharing.

Qualifications

• 2+ years of hands-on experience in NLP, Machine Learning, and AI.
• Strong programming skills in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, SpaCy, NLTK, or HuggingFace).
• Solid understanding of data modeling, ETL pipelines, and SQL.
• Experience with DBT (data transformation), Snowflake (cloud data warehouse), and Airflow (workflow orchestration).
• Familiarity with MLOps practices and deployment in cloud environments (AWS, GCP, or Azure).
• Strong analytical and problem-solving skills with attention to detail.
• Good communication and collaboration skills.
• Bachelor's/Master's degree in Computer Science, Data Science, AI, or related field.

We offer:

• Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
• Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program.
• Work From Anywhere Culture: make the most of the flexibility that comes with remote work.
• Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
• Global Impact: collaborate on impactful projects for top global clients and shape the future of industries.
• Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
• Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.
• Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.