AI ML Engineer

Tech Ahir; Gandhinagar; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Tech Ahir is seeking an innovative AI Solution Designer to conceptualize, architect, and validate AI-driven solutions with PoC focus. You will translate business needs into scalable AI architectures, guide development teams, and demonstrate feasibility through rapid prototyping.

The role emphasizes collaboration with data and ML engineers, stakeholders, and product teams to deliver impactful AI initiatives. Experience with Python, ML frameworks, and cloud services is essential.

Qualifications

• Proven experience designing AI/ML solutions and delivering PoCs in a business context.
• Strong Python programming with exposure to ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and AI services (SageMaker, Azure ML, Vertex AI).
• Hands-on with APIs and frameworks like OpenAI, LangChain, FastAPI, Flask.
• Familiarity with MLOps tools (MLflow, DVC, Kubeflow) is a plus.
• Strong problem-solving, analytical, and architectural thinking abilities.
• Excellent communication and stakeholder management skills.

Responsibilities

• Translate business problems into AI/ML-driven solution designs and architectures.
• Develop PoCs to validate feasibility, performance, and business value of AI solutions.
• Create detailed technical documentation including architecture diagrams and API specs.
• Engage with cross-functional teams to gather requirements and ensure delivery of AI initiatives.
• Stay updated with AI trends (LLMs, Generative AI, AutoML) and promote reusable architecture.

Skills

Python programming

ML libraries

Cloud platforms

API frameworks

MLOps

Problem solving

Communication

Education

Bachelor's or Master's in CS/AI/DS

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

OpenAI APIs

Hugging Face

FastAPI/Flask

MLflow

DVC

Kubeflow

Job description

Job Summary:

We are looking for an innovative and technically proficient AI Solution Designer to conceptualize, architect, and validate AI-based solutions, with a strong emphasis on Proof of Concept (PoC) development. The ideal candidate will translate business needs into AI-powered solutions, design architecture, guide development teams, and demonstrate feasibility through rapid prototyping and PoCs.

Key Responsibilities:

1. Solution Design & Architecture

• Translate business problems into AI/ML-driven solution designs.
• Define scalable AI/ML solution architectures using appropriate models, frameworks, APIs, and data pipelines.
• Collaborate with data engineers, ML engineers, and business stakeholders to ensure alignment.

2. Proof of Concept Development

• Design and develop PoCs to validate feasibility, performance, and business value of proposed AI solutions.
• Rapidly prototype AI features using tools such as Python, TensorFlow, PyTorch, Hugging Face, OpenAI APIs, LangChain, etc.
• Document PoC findings, results, and recommendations for full-scale implementation.

3. Technical Analysis & Documentation

• Conduct deep technical evaluations of AI/ML models, including accuracy, performance, and risk.
• Create detailed technical documentation including solution architecture diagrams, data flow diagrams, and API specs.
• Present PoC results and technical recommendations to stakeholders and executive teams.

4. Stakeholder Engagement

• Engage with cross-functional teams (Product, IT, Business, and Data teams) to understand needs and gather requirements.
• Act as a bridge between data science, engineering, and business teams to ensure successful delivery of AI initiatives.

5. Innovation & Best Practices

• Stay updated with the latest trends in AI, including LLMs, Generative AI, and AutoML.
• Recommend tools, frameworks, and platforms that can accelerate PoC and solution delivery.
• Promote reusability and modular architecture principles for AI solution components.

• Design, develop, and deploy conversational AI solutions using various tools such as Wren AI, Voice Flow, and ML algorithms.
• Collaborate with cross-functional teams to integrate AI models into existing systems and applications.
• Develop generative AI models for text generation, image processing, and other forms of data manipulation.
• Troubleshoot issues related to AI model performance and optimize system architecture for improved efficiency.

Required Skills & Experience:

• Proven experience in designing AI/ML solutions and delivering PoCs in a business context.
• Strong programming experience with Python; exposure to ML libraries like Scikit-learn, TensorFlow, PyTorch.
• Experience with cloud platforms (AWS, Azure, GCP) and AI services (SageMaker, Azure ML, Vertex AI).
• Hands-on with APIs and frameworks like OpenAI, LangChain, FastAPI, Flask.
• Familiarity with MLOps tools (MLflow, DVC, Kubeflow) is a plus.
• Strong problem-solving, analytical, and architectural thinking abilities.
• Excellent communication and stakeholder management skills.

Preferred Qualifications:

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
• Certifications in AI/ML technologies or cloud platforms.
• Experience with enterprise AI systems or AI product development lifecycle.
• 2-7 years of experience in Conversational AI development or a related field.
• Strong understanding of AIMl, Python programming language, TensorFlow/PyTorch machine learning frameworks.
• Experience with natural language processing (NLP) techniques including large language models like BERT.