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Staff Software Engineer - Artificial Intelligence / Machine Learning

Anzy Global.Hyderabad

30+ days ago

Job description

About the Role :

We are seeking a highly experienced Staff Software Engineer (AI / ML) to join our advanced engineering team. In this role, you will drive the design, development, and deployment of scalable AI / ML solutions for enterprise-grade applications. As a senior technical leader, you will architect end-to-end machine learning systems, mentor engineering teams, and collaborate with cross-functional stakeholders to translate complex business challenges into production-ready AI-driven solutions.

Key Responsibilities :

Architecture & Design :

Define the technical vision and architecture for AI / ML solutions at scale.
Design and implement robust, distributed ML systems leveraging cloud-native technologies (AWS / Azure / GCP).
Lead model lifecycle management, including training, deployment, monitoring, and retraining.

AI / ML Model Development :

Research, design, and implement advanced algorithms in areas such as NLP, Computer Vision, Generative AI, Predictive Analytics, and Recommendation Systems.

Optimize models for performance, scalability, and real-time inference.

Leverage frameworks like TensorFlow, PyTorch, Keras, Hugging Face, and Scikit-learn.

Data Engineering & Pipeline Management :

Design and maintain ETL pipelines, feature stores, and data preprocessing workflows.

Work with structured / unstructured data, large-scale datasets, and real-time streaming data.

Collaborate with data engineering teams to ensure high-quality, reliable datasets for training and inference.

MLOps & Deployment :

Implement MLOps best practices using CI / CD pipelines, containerization (Docker), and orchestration tools (Kubernetes).

Ensure reproducibility, model versioning, and scalable deployment of ML services.

Monitor model performance (drift, bias, accuracy) and ensure compliance with responsible AI standards.

Leadership & Mentoring :

Provide technical leadership and mentorship to junior engineers and data scientists.

Conduct code reviews, design reviews, and enforce engineering best practices.

Collaborate with product managers and business stakeholders to define AI / ML roadmaps and KPIs.

Required Skills & Expertise

Core Technical Expertise :

1015 years of software engineering experience with at least 68 years in AI / ML system development.

Strong proficiency in Python, Java, or C++ for production-grade development.

Hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn, Hugging Face).

Strong mathematical foundation in Linear Algebra, Statistics, Probability, and Optimization.

MLOps & Cloud :

Deep experience with AWS SageMaker, Azure ML, or Google Vertex AI.

Expertise in CI / CD pipelines, Docker, Kubernetes, MLflow, Kubeflow.

Familiarity with data pipelines and distributed data processing (Spark, Kafka, Flink).

Domain Knowledge :

Experience in at least one domain such as Healthcare, FinTech, Retail, or Enterprise SaaS AI applications.

Strong focus on building responsible, explainable, and ethical AI systems.

Soft Skills :

Excellent leadership, mentoring, and stakeholder management abilities.

Strong communication skills with the ability to explain technical concepts to non-technical :

Education : Bachelors or Masters degree in Computer Science, AI / ML, Data Science, or related field (Ph.D. : AI / ML certifications from AWS, Azure, GCP, or DeepLearning.ai are a plus.

Proven experience leading end-to-end AI / ML product development and managing cross-functional teams.

(ref : hirist.tech)

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Staff Software Engineer • Hyderabad

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