We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamic team. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions.

Skills

• Python
• Collaboration Skills
• Docker
• Kubernetes
• SQL
• Decision-Making

Requirements

• Job Role Data Science Engineer
• Job Type Full Time
• Workplace Type Onsite
• Industry IT Services and IT Consulting

Secondary locations

About

Not provided

Responsibilities

• Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn).
• Min 6 months of experience in Gen AI and Proficiency in could technologies such as AWS, GCP or azure.
• Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training.
• Apply machine learning techniques to solve complex business problems and optimize existing processes.
• Evaluate and benchmark different machine learning models to determine optimal solutions.
• Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. 
•  Implement scalable and reliable machine learning infrastructure and productionize models.
• Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously.
• Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team.

Work from office Afternoon shift

NO ONLINE INTERVIEW

Other Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

• Proficient in Python, SQL, and at least one ML framework (e.g., Scikit-learn, TensorFlow, PyTorch).

• Experience with data platforms like Snowflake, BigQuery, or AWS/GCP/Azure equivalents.

• Solid understanding of software engineering practices (CI/CD, version control, unit testing).

• Familiarity with containerization tools (Docker, Kubernetes) is a plus.

Good to have

Not provided

About the Company

Soft Suave is a custom offshore software development company headquartered in India. We have the best AI-enabled developers who deliver high-quality results that exceed our client’s expectations. Our skilled developers and our Industry best practices allow us to stand out from the crowd as the best.

We believe in a customer-first approach where all solutions are personalized to match the unique needs of the client. Get in touch with us to discuss your requirements and access our 40-hour free trial to experience the expertise of our developers.