Technology Architect

4 weeks ago

Pune, Maharashtra, India Ara Resources Pvt Ltd Full time

About the Company :

ARAs client TechGlobal (pseudonym) is a global leader in strategy, technology consulting and digital services, enabling clients in more than 100+ countries to implement cutting edge solutions in their transformation journey. TechGlobal helps businesses become digital-first and digital-ready. The company has a global presence with 600000+ employees (200000+ in India). India is a focus for them with their Development Centres presence in over 10 locations across Tier 1 and Tier 2 cities. They are recognised for their people first and employee-oriented policies. Along with offering hybrid work options, a Pan India presence gives flexible location options to employees.

Role Summary :

The Technology Architect - Machine Learning is responsible for designing, developing, and overseeing the implementation of artificial intelligence solutions. This includes strategizing the use of AI to solve complex business challenges, integrating AI systems with existing infrastructure, and leading innovation initiatives through advanced AI technologies.

Key Responsibilities :


- Design data architectures for effective AI model deployment, including data storage, cleansing, and pipeline strategies.

- Leverage deep understanding of AI/ML technologies such as deep learning frameworks, ML algorithms, cognitive computing, and NLP.

- Ensure integration of AI technologies with existing systems, maintaining data integrity and system performance.

- Continuously evaluate and enhance AI systems for accuracy, efficiency, and relevance with evolving technologies.

Skills Required :

- Proven experience with Agentic AI architecture frameworks, including autonomous agents for Simulation in Deep domain knowledge in Manufacturing Operations (Automotive, Discrete Manufacturing, CPG, Life Sciences).

- Expertise in Gen AI, VLM, LLM, and advanced AI frameworks.

- Strong programming skills (Python, R, Java) and experience with ML/Deep Learning frameworks (e.g., TensorFlow).

- Understanding of ML and deep learning workflow architectures and data lifecycle (management, governance, deployment).

- Familiarity with DevOps principles and tools (Git, containers, Kubernetes, CI/CD).

Qualifications & Experience :

- The candidate should have a minimum of 12-16 years of experience in AI/ML field.

- Any graduate.

- Must have good communications skills and ability to manage team members.

(ref:hirist.tech)

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