Engineer II, AI/Machine Learning

Edwards Lifesciences; Pune District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A global healthcare company is looking for an AI/ML Developer to create prototypes and solutions that address business needs. This role involves developing scalable AI/ML models, collaborating with data scientists and engineers, and participating in agile processes. Candidates should have a Bachelor's degree in Engineering and 2 years of related experience, with strong programming proficiency in languages such as Python. Familiarity with cloud services and machine learning frameworks is preferred.

Qualifications

• 2 years experience in Software Development or Engineering with cross-functional collaboration.
• Experience with cloud services for model deployment and data storage.
• Proficiency in programming languages like Python, Java, or C++.

Responsibilities

• Develop scalable AI/ML models for prototyping and production.
• Collaborate with teams to define requirements and ideate AI/ML solutions.
• Participate in agile development processes including sprint planning and demos.
• Follow best practices for software quality and scalability.

Skills

Software Development

Cloud Platforms (AWS)

Python

Java

C++

Machine Learning Libraries (e.g., TensorFlow)

Agile Methodologies

Version Control (Git)

Education

Bachelor's Degree in Engineering or Technical Field

Tools

Hadoop

Spark

Apache Kafka

Airflow

Job description

This role is responsible for understanding business gaps/opportunities that can be resolved using AI/ML solutions. Besides, this role requires you to design, develop and test quick AI/ML prototypes that addresses identified business gaps.

How you will make an impact:

• Development and deployment of scalable and efficient AI/ML models both for prototyping purposes as well as for production deployment.

• Collaborate with cross-functional teams (data scientists, software engineers, product managers, business leads) to define requirements and ideate solutions using AI/ML frameworks.

• Participate in agile development processes, including sprint planning, daily stand-ups and demo prototypes or milestone updates when necessary.

• Follow existing tools, standards and architectural best practices to ensure quality and scalability of the software is preserved.

• Maintain, operate and provide technical support on the solutions that have been deployed into production.

• Drive research and experimentation to explore new AI/ML techniques, tools, and frameworks.

• Ensure code and model development are well-documented and follow best engineering practices.

• Other incidental duties.

What you’ll need (Required)

• • Bachelor's Degree in Engineering or technical field, 2 years experience Software Development or Engineering demonstrably solid performance in a role working with cross-functional teams (within IT and/or within the business) on enterprise-level or complex/novel system implementations Required

• Experience with cloud platforms such as AWS or Cloud Infrastructure services for model deployment and data storage.

• Proficiency in programming languages such as Python, Java, C++, or similar.

What else we look for (Preferred)

• Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, etc.).

• Strong understanding of machine learning algorithms, statistics, and data structures.

• Familiarity with big data technologies like Hadoop, Spark, or similar tools is a plus.

• Solid experience with version control systems (Git) and agile development methodologies.

• Experience with deep learning techniques (e.g., CNNs, RNNs, GANs, etc.).

• Knowledge of data engineering practices and tools like Apache Kafka, Airflow, etc.

• Strong communication skills and the ability to work effectively in cross-functional teams.

• Excellent problem solving skills and debugging skills

• Strict attention to detail

• Ability to manage competing priorities in a fast paced environment

• Adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control