AI Engineer

2 weeks ago


Chennai, Tamil Nadu, India Covenant Consultants Full time

Job Summary:

As a Technical Architect in our Data Management and AI group, you will play a pivotal role in driving the execution of machine learning and Generative AI projects for various business functions at Johnson Electric. You will collaborate with cross-functional teams to design, develop, and deploy AI solutions that enhance business processes and deliver measurable value. This role requires a blend of technical expertise, strategic thinking, and hands-on experience with AI/ML technologies.

Key Responsibilities:

Architecture & Design: Lead the design and architecture of machine learning and Generative AI solutions, ensuring scalability, performance, and security.

Project Execution: Oversee the end-to-end execution of AI projects, from requirements gathering to deployment, working closely with data scientists, engineers, and business stakeholders.

Stakeholder Management: Collaborate with Manufacturing and Finance teams to identify business challenges and opportunities where AI can add value.

Technical Leadership: Provide technical guidance and mentorship to the team, ensuring best practices in AI/ML development and deployment.

Technology Evaluation: Stay abreast of emerging technologies in AI/ML and Generative AI, evaluating their potential impact on business processes.

Documentation: Develop and maintain comprehensive documentation for AI architectures, models, and processes.

Continuous Improvement: Drive continuous improvement initiatives to optimize AI models and workflows, incorporating feedback and lessons learned from projects.

Qualifications:

Education: Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field.

Experience:

o experience in software architecture, with at least 4 years in AI/ML or data-centric roles.

o Proven experience in designing and deploying machine learning models in a production environment.

o Experience with Generative AI technologies and their application in business contexts.

Technical Skills:

o Proficiency in programming languages such as Python, R, or Java.

o Expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.

Strong understanding of Azure cloud platforms and its AI/ML services. Experience with data management tools and technologies (e.g., SQL, NoSQL databases, ETL tools). Familiarity with MLOps practices and tools for continuous integration/deployment of ML models.

o Proficiency in LLMs and Generative AI toolchains including RAG,

Integrate AI models into existing toolchains and workflows. Utilize Retrieval-Augmented Generation (RAG) techniques to enhance model capabilities. Knowledge of implement Agentic flows for complex multi-step tasks

Soft Skills:

o Strong problem-solving skills and the ability to translate business requirements into technical solutions.

o Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

o Leadership abilities, with experience in managing or mentoring technical teams.


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