Lead Data Scientist ML Engineer

ALGOTEQUE is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies.

Our team has a successful track record in designing, developing, implementing, and integrating software solutions (AI, ML, BI, Web, Automation) for Telecom, Energy, Bank, Insurance, Pharma, Automotive, Industry, e-commerce. We deliver our services both in fixed-price and time-and-materials models, helping our customers achieve their business and IT strategies.

Job Description

Were looking for a passionate Lead Data Scientist / ML Engineer to join an exciting EdTech project for one of our clients.

If youre eager to apply data and AI to make education smarter and more accessible, this opportunity is for you.

Responsibilities

• Lead the design and development of machine learning models and data-driven solutions
• Collaborate with the clients product and engineering teams to integrate ML models into their platform
• Build and maintain scalable data pipelines ensuring data quality and reliability
• Research and implement new algorithms and technologies to enhance product performance
• Present insights and recommendations to both internal and client stakeholders
• Support decision-making through data analysis, A/B testing, and experimentation
• Ensure best practices in coding, documentation, and model deployment
  
  

• 5+ years of experience in data science or machine learning
• Strong programming skills in Python and SQL, and solid knowledge of ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Hands-on experience with cloud environments (AWS, GCP, or Azure)
• Deep understanding of statistics, data modeling, and MLOps principles
• Excellent communication and problem-solving skills
• Ability to translate business needs into technical solutions
• English at B2 level or higher (both written and spoken)
• Degree in Computer Science, Data Science, or a related field
  
  

• Impactful EdTech project with a forward-thinking client
• Flexible, remote-friendly setup
• Growth and knowledge-sharing opportunities
• B2B contract