Senior Data / AI Engineer (Tirana, Albania) at Complete Home Care Holdings

Tiranë, Central Albania, Albania -

Full Time

Start Date

Immediate

Expiry Date

16 Jan, 26

Salary

0.0

Posted On

18 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Engineering, AI Engineering, Cloud Computing, Databricks, Snowflake, BigQuery, Redshift, DevOps, CI/CD, Distributed Systems, Agile, Problem-Solving, Interpersonal Skills, English Communication

Industry

Description

About DataMax At DataMax, we accelerate our client's journey to become truly data-driven organizations. We create reliable, extensible, and scalable end-to-end Data and AI solutions. We strive for technical excellence, passion for what we do, and focus on the success of our clients. About the Role In our Data / AI Engineering team, you will be working closely with our best-in-class engineers, experienced in building ultra-modern products. You will be working with Cloud technologies, like AWS, Azure, and GCP, latest technology trends in Data and Machine Learning, e.g. Python, LLMs, Vertex AI, Data Lake(house), Vector DBs, dbt, Kubernetes, and many more. Are you looking for something different? 📌 Are you looking for something challenging? 👨‍💻 Are you thinking of moving into Data engineering and AI engineering? 🏎 You are at the right place! 🎯 Tasks Design and develop complex solutions for Data-Intensive and AI Applications. Develop and optimize EL(T) processing pipelines to create the foundations for analytical / machine learning workflows. Be involved in all topics concerning data extraction, transformation, integration, and storage. Use your software engineering expertise to provide clean, extensible, and scalable solutions. Mentor the team to develop professionally You will work in cross-functional teams together with our client and stakeholders designing and implementing state-of-the-art solutions. Be comfortable sharing ideas and discussing different approaches in an environment where your opinion has a direct impact. Work independently, using your conceptual and creative skills. Requirements Must have: 3+ years of experience working professionally with Python or other programming languages, and SQL. 3+ years of experience in Data Engineering, AI Engineering, or similar positions. Experience with cloud computing platforms like AWS, Azure, or GCP. Experience with Data Platforms such as Databricks, Snowflake, BigQuery, or Redshift. Experience with DevOps practices and CI/CD pipelines. Understanding of Distributed Systems. Motivated and fast learner. Development experience with Agile methodologies. Excellent problem-solving and interpersonal skills. Excellent English communication skills. Nice to have: Experience working with stream processing (Kafka, Spark Streaming, Flink). Experience with automation and orchestration tools such as Kubeflow, Airflow, or Prefect. Experience with AI Agent Frameworks (e.g.: MCP, LangChain, PydanticAI, LangFuse) Knowledge of PyTorch and/or TensorFlow. Related Certifications. Benefits Work with world-class engineers. MacBook Pro working devices. Focus on your professional growth. Welcoming and open company culture. Paid training and bonuses for every achieved certification. Stimulating environment to learn and experiment with the newest technologies. Flexible working hours combined with a hybrid work structure. Find the balance that works best for you. Be part of our international, experienced, and highly motivated team. Entrepreneurial responsibilities and upward career growth. Engaging, open office located in central Tirana. Joint weekly team lunch organized by us. Team events and expanding perks. How to apply: Send us your CV through the form below. Github account, personal projects, and any other extra information you believe will be useful for us to better understand your experience. Cover letters are always welcome, but not required!

Responsibilities

Design and develop complex solutions for data-intensive and AI applications. Work independently and collaboratively in cross-functional teams to implement state-of-the-art solutions.