AI/ML Engineer

• Design, develop, and optimize scalable machine learning systems capable of handling large-scale data and complex models.
• Develop advanced statistical models to solve complex business problems.
• Lead the deployment of ML models into production environments with robustness and efficiency.
• Integrate models seamlessly with REST APIs for application integration.
• Provide technical guidance and strategic direction for AI initiatives across teams.
• Stay abreast of the latest AI/ML research, especially in NLP, deep learning, and large language models.
• Mentor junior team members and promote best practices in AI engineering.
• Collaborate with data engineers, software developers, and product teams to align AI solutions with business goals.

Mandatory Skills:

• Proven experience designing scalable ML systems and architectures.
• Strong expertise in advanced statistical modeling techniques.
• Deep experience in model development and deployment pipelines.
• Proficiency in integrating ML models with REST APIs.

Preferred Skills:

• In-depth experience with Natural Language Processing (NLP), deep learning, and transformer-based models.
• Hands-on experience with cloud ML platforms, such as AWS SageMaker or Azure AI.
• Demonstrated leadership in formulating and executing AI strategies within organizations.
• Knowledge of the latest AI frameworks, including Transformers and Large Language Models (LLMs).

Qualifications:

• Bachelor’s, Master’s, or PhD in Computer Science, Data Science, or related fields.
• 5–12 years of relevant experience in AI/ML engineering and system architecture.
• Proven track record of deploying high-impact AI solutions at scale.
• Strong analytical, strategic thinking, and problem-solving skills.
• Excellent communication abilities and leadership qualities.