Senior AI Engineer

Job Title: Senior AI Engineer

Location: Noida/Hyderabad
Experience: 5+ Years
Company: Nyalazone Solutions
Website: www.nyalazone.ai

About Nyalazone Solutions

At Nyalazone Solutions, we are a technology-first, product-led organization committed to enabling intelligent digital transformation. Through continuous innovation, research, and engineering excellence, we build platforms that empower organizations to optimize operations, enhance stakeholder engagement, and unlock the full potential of their data.

Our flagship products—DCE (Digital Customer Engagement), Leggero DMAP (Data Management & Analytics Platform), and DDS (Dynamic Data Source)—are designed to address the most complex challenges in data integration, intelligent automation, and customer experience.

We are deeply invested in AI, Gen-AI, and deep learning, and are seeking individuals who are passionate about driving the future of AI-enabled enterprise solutions.

About the Role

We are looking for a Senior AI Engineer to lead the development and deployment of cutting-edge AI/ML models and solutions. This role requires deep technical expertise in machine learning, model optimization, and real-world implementation. The ideal candidate will be comfortable working in cross-functional teams, mentoring others, and turning complex business needs into intelligent, scalable AI-driven applications.

Key Responsibilities

• AI/ML Model Development: Design, develop, and deploy machine learning models to solve high-impact business problems.
• Research & Innovation: Lead and contribute to AI research initiatives and stay updated on emerging trends in machine learning and artificial intelligence.
• System Architecture: Architect and scale AI models for real-world applications and performance in production environments.
• Cross-Functional Collaboration: Work closely with data scientists, software engineers, and product teams to embed AI into scalable enterprise products.
• Data Engineering: Handle large and complex datasets; perform preprocessing, feature engineering, and augmentation to maximize model performance.
• Mentorship: Provide technical guidance and mentorship to junior AI engineers and foster knowledge-sharing within the team.
• Optimization: Apply techniques like quantization, fine-tuning, model distillation, pruning, and GPU/TPU acceleration to optimize performance.
• Deployment: Use MLOps tools and cloud-based infrastructure (AWS, Azure, GCP) to automate and manage AI model deployment pipelines.

Required Qualifications

• Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum 5 years of experience in AI/ML model development and deployment.
• Expertise in Python and at least one ML framework such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of machine learning algorithms, deep learning architectures, and model lifecycle management.
• Proficient in big data processing, optimization techniques, and production-grade model performance enhancement.
• Excellent problem-solving, analytical thinking, and debugging skills.
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Practical experience in NLP, Computer Vision, Reinforcement Learning, Fine-Tuning, and Generative AI

Preferred Qualifications

• Experience deploying AI solutions on cloud platforms such as AWS, GCP, or Azure.
• Familiarity with CI/CD for ML, Docker, Kubernetes, and monitoring tools for AI services.
• Understanding of ethical AI practices, model fairness, and data privacy in deployment environments.

Why Join Nyalazone?

• Work on cutting-edge AI projects with real-world enterprise impact
• Collaborate with a world-class team of engineers and researchers
• Be part of a culture that values innovation, ownership, and continuous learning
• Enjoy flexible work arrangements, growth opportunities, and a strong tech-driven environment

Job Type: Full-time

Pay: ₹1,000,000.00 - ₹2,000,000.00 per year

Benefits:

• Health insurance
• Leave encashment
• Paid sick time
• Paid time off
• Provident Fund