Company Overview :

Evnek is a technology-driven organization focused on delivering high-impact AI and data-centric solutions to global enterprises. Operating at the intersection of advanced analytics and scalable software engineering, the company empowers businesses to modernize their decision-making processes through robust machine learning frameworks. With a culture rooted in technical excellence and innovation, Evnek serves a diverse portfolio of clients across the fintech, retail, and healthcare sectors, maintaining a significant footprint in the digital transformation landscape.

Role Overview :

As an AI/ML Architect, you will serve as the technical authority for designing and deploying sophisticated artificial intelligence systems that solve complex business challenges. You will bridge the gap between high-level business requirements and technical execution, working closely with data engineering teams, product managers, and executive stakeholders to define the architectural roadmap. Your daily focus will involve overseeing the end-to-end lifecycle of AI models, ensuring that our solutions are not only innovative but also scalable, secure, and aligned with the long-term strategic goals of our clients.

Key Responsibilities :

- Architect and design end-to-end AI/ML pipelines that integrate seamlessly into existing enterprise ecosystems to drive measurable business efficiency.

- Lead the development and deployment of Generative AI and NLP models, ensuring high performance and accuracy for production-grade applications.

- Establish MLOps best practices to automate model training, monitoring, and versioning, thereby reducing time-to-market for new features.

- Collaborate with cross-functional teams to translate ambiguous business problems into structured technical requirements and actionable AI strategies.

- Mentor senior engineering teams on advanced Deep Learning techniques and architectural patterns to foster a culture of technical rigor.

- Evaluate and integrate emerging technologies and frameworks to maintain the company's competitive edge in the AI landscape.

Required Skillset :

- Demonstrated expertise in designing complex AI architectures using Python, TensorFlow, and PyTorch, with a deep understanding of model scalability.

- Proven ability to implement and manage MLOps workflows, ensuring robust data engineering practices and reliable model deployment in cloud environments.

- Strong proficiency in applying Generative AI and NLP techniques to solve real-world enterprise problems.

- Exceptional communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders and influence executive decision-making.

- A minimum of 8 to 20 years of experience in the AI/ML domain, showcasing a track record of leading large-scale technical initiatives.

- Ability to thrive in a distributed work environment, maintaining high levels of autonomy and collaboration across multiple locations in India.

- A degree in Computer Science, Data Science, or a related quantitative field, complemented by a history of continuous learning in the rapidly evolving AI space.