9+years -AI Technical Lead / Architect-Work from Office

V2soft; Mysuru, Bengaluru; On-site; INR 350,000 - 650,000; Full time

Job summary

V2Soft is seeking an AI Technical Lead/Architect to design and deliver end-to-end AI solutions in a global context. The role combines hands-on development with technical leadership across cross-functional teams in Bengaluru / Mysore.

The ideal candidate has 10–18 years in AI/ML, strong Python/Java/C++ skills, and experience with TensorFlow, PyTorch, HuggingFace, and OpenAI APIs to build production-grade models.

Qualifications

• Bachelor's or master's in computer science, engineering, or related field. PhD in AI a plus.
• Proven AI/ML engineer or AI architect with track record of successful solutions.
• Strong programming skills in Python/Java/C++, and proficiency in AI libraries such as TensorFlow, PyTorch, scikit-learn.

Responsibilities

• Define AI use cases and architect end-to-end AI solutions.
• Develop and evaluate ML/DL models and algorithms.
• Oversee data collection, preprocessing and feature engineering.
• Lead deployment of AI into production and integrate with existing systems.
• Provide technical leadership and mentorship to teams.

Skills

Python

Java

C++

TensorFlow

PyTorch

scikit-learn

HuggingFace

OpenAI

Generative AI

Streamlit

Education

Bachelor's or Master's in CS/Engineering

Tools

HuggingFace

OpenAI

Custom Model Development

Job description

V2Soft ( www.v2soft.com ) is a global company, headquartered out of Bloomfield Hills, Michigan, with locations in Mexico, Italy, India, China and Germany.

Job Title: AI Technical Lead / Architect
Work Location: Bangalore / Mysore
Experience: 10 Years - 18 Years

Key Responsibilities:

• 1. Solution Design: Collaborate with cross-functional teams to define AI use cases, gather requirements, and architect end-to-end AI solutions that align with business goals.
• 2. Algorithm Development: Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities.
• 3. Data Processing: Oversee data collection, preprocessing, and feature engineering to ensure high-quality input for AI models.
• 4. Model Training and Evaluation: Train and fine-tune machine learning models using large datasets and rigorously evaluate model performance using appropriate metrics.
• 5. Infrastructure and Tools: Design the AI infrastructure, choose suitable frameworks, libraries, and tools, and ensure scalability, reliability, and efficiency of AI systems.
• 6. Prototyping and POCs: Build rapid prototypes and proof of concepts (POCs) to demonstrate the feasibility and potential of AI solutions.
• 7. Technical Leadership: Provide technical guidance, mentorship, and support to AI development teams, fostering a culture of innovation and collaboration.
• 8. Research and Innovation: Stay abreast of AI trends, emerging technologies, and best practices, and contribute to the company's AI strategy by proposing innovative solutions.
• 9. Deployment and Integration: Lead the deployment of AI solutions into production environments, integrating them with existing systems and workflows.
• 10. Performance Optimization: Continuously optimize AI solutions for speed, efficiency, and accuracy, and address any bottlenecks or issues.
• 11. Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and code comments.

Qualifications and Requirements:

• Bachelor's or master's degree in computer science, Engineering, or a related field. A Ph.D. in AI or Machine Learning is a plus.
• Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation.
• Streamlit -- Python
• Generative AI
• HuggingFace , OpenAi and any Custom Model development experience
• Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
• In-depth knowledge of machine learning techniques, algorithms, and model evaluation.
• Familiarity with big data technologies, cloud platforms, and distributed computing.
• Excellent problem-solving abilities and analytical thinking.
• Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders.
• Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members.