AI / ML Engineer – Associate Director – 18 Years

HypTechie; Bengaluru; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

HypTechie is seeking an experienced AI/ML Engineer to lead development of advanced AI applications and production-ready ML systems in Bengaluru, India. You will design and implement solutions using a range of AI tools and cloud-based services, with emphasis on integrating Generative AI models into real-world use cases.

You will collaborate with cross-functional teams to create scalable AI solutions that drive innovation, enhance business performance, and solve complex problems across multiple

Qualifications

• Expertise in Machine Learning and AI model development.
• In-depth understanding of ML algorithms (supervised, unsupervised, deep learning).
• Experience with cloud AI services (AWS SageMaker, Azure ML, Google AI Platform).
• Proficiency in Python or R for data analysis, modeling, and pipeline development.

Responsibilities

• Develop and deploy robust AI/ML solutions using industry-standard frameworks and cloud platforms.
• Integrate Generative AI models into applications such as chatbots or decision-support systems.
• Design and maintain scalable machine learning pipelines for production-ready models.
• Serve as SME and provide guidance across teams and business units.

Skills

Machine Learning

Python or R

Cloud AI services

AI model development

Leadership

Education

15 Years Full-Time Education

Tools

AWS SageMaker

Azure ML

Google AI Platform

Job description

Location: Bengaluru, India

Experience Required: Minimum 18 Years

Education: 15 Years Full-Time Education

Employment Type: Full-Time

Job ID: ATCI-5077955-S1876569

Required Skill: Machine Learning

About the Role

We are looking for an experienced AI / ML Engineer to lead the development of advanced artificial intelligence applications and production-ready machine learning systems. In this strategic role, you will design and implement solutions using a variety of AI tools and cloud-based AI services, with a strong emphasis on integrating Generative AI models into real-world use cases. You will collaborate with cross-functional teams to create scalable AI solutions that drive innovation, enhance business performance, and solve complex problems across multiple domains.

Key Responsibilities

• Develop and deploy robust AI/ML solutions using industry-standard frameworks and cloud platforms.
• Integrate Generative AI models into applications, such as chatbots, image processing tools, or decision-support systems.
• Design and maintain scalable machine learning pipelines, ensuring models are production-ready and meet quality standards.
• Serve as a Subject Matter Expert (SME) and provide guidance across multiple teams and business units.
• Evaluate existing systems and recommend improvements using data-driven approaches.
• Conduct knowledge sharing sessions and mentor junior team members in AI/ML best practices.
• Ensure alignment of technical solutions with business goals and strategic initiatives.

Required Skills & Qualifications

• Expertise in Machine Learning and AI model development.
• In-depth understanding of various ML algorithms (supervised, unsupervised, deep learning, etc.).
• Experience with cloud AI services (e.g., AWS SageMaker, Azure ML, Google AI Platform).
• Proficiency in Python or R for data analysis, modeling, and pipeline development.
• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with building production-grade AI systems and deploying them at scale.
• Excellent problem-solving, collaboration, and leadership skills.

Good to Have

• Experience with Generative AI, LLMs, or custom model fine-tuning.
• Knowledge of MLOps practices and CI/CD for ML workflows.
• Exposure to AI ethics, model explainability, and responsible AI practices.

Why Join Us

• Contribute to impactful AI initiatives that solve real-world business challenges.
• Work in a collaborative, innovative, and fast-paced environment.
• Opportunity to lead high-visibility projects with a global footprint.
• Competitive compensation, continuous learning, and leadership development opportunities.