Artificial Intelligence Engineer

Unicon Connectors; Mumbai; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

Unicon Connectors in Mumbai seeks an experienced Lead AI Engineer to spearhead AI initiatives and lead a team of AI professionals in designing, developing, and deploying scalable AI solutions. You will mentor data scientists, align AI projects with business goals, and ensure ethical, compliant AI practices while staying abreast of the latest AI/ML advancements.

This role requires strong leadership, deep technical expertise in ML/DL, and hands-on experience deploying models to production across

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field (PhD preferred).
• 5+ years in AI/ML engineering roles, with 2+ years in a leadership position.
• Proven experience deploying scalable AI/ML solutions in production environments.

Responsibilities

• Define and implement the AI vision and roadmap in alignment with organizational goals.
• Design, build, and deploy AI/ML models, ensuring accuracy, scalability, and performance.
• Mentor and guide a team of AI engineers and data scientists, fostering innovation and collaboration.
• Stay updated with the latest advancements in AI/ML and integrate relevant innovations into our projects.
• Data Management : Collaborate with data engineers to preprocess and analyze large datasets to train AI models effectively.
• Oversee the deployment of AI solutions into production environments and monitor performance.
• Work closely with product, engineering, and business teams to align AI solutions with business objectives.
• Ethical AI Practices : Ensure AI solutions adhere to ethical standards, fairness, and regulatory compliance.

Skills

Python

R

Java

Education

Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field (PhD preferred)

Tools

TensorFlow

PyTorch

Scikit-learn

Hadoop

Spark

AWS

Azure

GCP

Job description

Role : AI Engineer

Job Location : Mumbai

About the Role :

We are seeking an experienced and innovative Lead AI Engineer to spearhead our AI initiatives and lead the development of cutting-edge solutions.

In this role, you will lead a team of AI professionals to design, develop, and implement AI models and systems that solve complex real-world problems.

Key Responsibilities

• Define and implement the AI vision and roadmap in alignment with organizational goals.
• Design, build, and deploy AI/ML models, ensuring accuracy, scalability, and performance.
• Mentor and guide a team of AI engineers and data scientists, fostering innovation and collaboration.
• Stay updated with the latest advancements in AI/ML and integrate relevant innovations into our projects.
• Data Management : Collaborate with data engineers to preprocess and analyze large datasets to train AI models effectively.
• Oversee the deployment of AI solutions into production environments and monitor performance.
• Work closely with product, engineering, and business teams to align AI solutions with business objectives.
• Ethical AI Practices : Ensure AI solutions adhere to ethical standards, fairness, and regulatory compliance.

Qualifications

Education : Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field (PhD preferred).

Experience :

• 5+ years in AI/ML engineering roles, with 2+ years in a leadership position.
• Proven experience in deploying scalable AI/ML solutions in production environments.

Technical Skills :

• Proficiency in programming languages like Python, R, or Java.
• Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.
• Knowledge of big data tools like Hadoop, Spark, and cloud platforms (AWS, Azure, GCP).
• Strong understanding of algorithms, data structures, and mathematics (linear algebra, probability, statistics).

Soft Skills :

• Strong leadership, communication, and project management skills.
• Ability to work in a fast-paced, collaborative environment.
• Problem-solving mindset with a focus on innovation and scalability.

Preferred Skills :

• Experience with Natural Language Processing (NLP), computer vision, or reinforcement learning.
• Familiarity with DevOps practices and MLOps tools.
• Knowledge of ethical AI principles and regulatory standards.