Job Description

We represent CJR Group, a Portuguese company which is a multinational business group, based in Portugal and segmented into different business sectors.

With over 50 years of experience, the CJR Group has become a leader in engineering and construction, renewable energy, among other services like robotics and automation, IoT...

The business group operates in various parts of the world, with personalized and innovative solutions to respond to the needs of its customers.

For that, with the objective to make our processes even more efficient, we decided to create a technical skills office in India.

The objective is to create an engineering center with different capabilities, namely Civil Engineering, Computer Science and Engineering, Electrical Engineering, Mechanical Engineering, and others."

You may refer to website www.cjr-renewables.com for more details.

Core Responsibilities

Develop machine learning models and data-driven algorithms. Analyze large datasets to extract insights and support decision-making. Collaborate with engineering teams to implement data-driven solutions. Design and implement predictive analytics and forecasting models. Optimize data pipelines and ETL processes for scalability. Visualize data using dashboards and reporting tools. Stay up to date with the latest trends in AI and data science.

Required Skills & Qualifications

Programming Languages: Python, R. Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn. Big Data Technologies: Hadoop, Spark, Kafka. Cloud Platforms: AWS, Google Cloud, Azure. Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra). Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn.

Preferred Skills

Bachelor's degree in Computer Science, Engineering, or equivalent experience 5+ years of profissional experience in a similar role Knowledge of deep learning techniques. Familiarity with MLOps practices and model deployment. Experience working in Agile/Scrum environments. Fluent in English both written and spoken
Job Type: Full-time

Pay: ?100,000.00 - ?120,000.00 per month

Schedule:

Day shift Monday to Friday
Work Location: In person