GlobalLogic - AI/ML Engineer

About the Role :

We are seeking a talented and passionate Machine Learning Engineer to join our growing team. In this role, you will be responsible for developing and implementing machine learning models to solve real-world problems and drive business value. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy innovative solutions.

Key Responsibilities :

- Design, develop, and implement machine learning models for various applications, such as predictions, customer churn analysis, and fraud detection.

- Collect, clean, and preprocess large datasets for training and evaluation.

- Conduct exploratory data analysis and feature engineering to improve model performance.

- Evaluate and select appropriate machine learning algorithms and techniques based on business requirements and data characteristics.

- Develop and maintain machine learning pipelines for data ingestion, preprocessing, training, and deployment.

- Monitor and optimize the performance of deployed models in production.

- Stay up-to-date with the latest advancements in machine learning and related technologies.

- Collaborate with cross-functional teams to integrate machine learning solutions into existing systems

- Communicate technical concepts and findings to both technical and non-technical audiences.

- Stay abreast of the latest advancements in data science and machine learning techniques.

- Mentor and guide junior data scientists, fostering a collaborative and knowledge-sharing environment.

What You Bring :

Experience :

- 5+ years of experience in developing and deploying machine learning models in a professional setting.

- Telecom industry experience is highly preferred.

Technical Skills :

- Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning.

- Proficiency in Python and relevant machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).

- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).

- Building & deploying model using python Azure Data Factory (ADF), Azure Databricks, PySpark, Delta Lake, ETL/ELT, data pipelines, data lakehouse architecture.

- Excellent problem-solving and analytical skills.

- Communication and collaboration skills.

- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

- 3+ years of experience in developing and deploying machine learning models in a professional setting.

- Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning.

- Proficiency in Python and relevant machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).

- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration skills.

Soft Skills :

- Strong problem-solving and critical thinking skills

- Ability to break down complex technical topics for business stakeholders

- Comfortable working in a fast-paced, agile environment with shifting priorities

Qualifications :

- Bachelor's degree in Computer Science or related field.

- Masters degree or equivalent advanced degree preferred.

- Proven track record of delivering data science projects from ideation to production.

- Strong communication skills and the ability to tell compelling stories with data.

- Comfortable with both structured and unstructured data sets.