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Artificial Intelligence Engineer

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Onsite

Artificial Intelligence Engineer

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Artificial Intelligence Engineer

Skills

Google Cloud PlatformBig DataPythonData ScienceJavaPyTorchTensorFlowRMachine LearningAIAWSNLP / Natural Language ProcessingHadoopComplianceRegulatory ComplianceAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

13 August 2026

What they need


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.

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