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Lead Artificial Intelligence Engineer - Python / Numpy

Recruitmenthub365Pune

19 hours ago

Job description

Job Title : Lead Artificial Intelligence Engineer

Location : Pune (Hybrid)

Experience : 5+ Years

Must-Have : Python, Gen AI, NLP, PyTorch, TensorFlow, LLM, CI / CD

Shift Time : 2 : 00 PM to 11 : 00 PM (IST)

Notice Period : Immediate to 15 days

Job Overview :

We are looking for a Lead Artificial Intelligence Engineer to spearhead the design, development, and deployment of cutting-edge AI solutions. This role will lead a team of AI Engineers and Data Scientists while collaborating cross-functionally to drive business impact through intelligent, data-driven systems. The ideal candidate has deep expertise in NLP, LLMs, and real-world AI implementation, with a strong foundation in software engineering and MLOps.

Key Responsibilities :

Team Leadership : Inspire and lead a team of AI Engineers and Data Scientists, fostering innovation, collaboration, and continuous development.
Project Ownership : Take end-to-end responsibility for AI projectsfrom ideation and architecture to development, deployment, and monitoring.
AI Development : Design and implement AI / ML models using Python, Scikit-Learn, TensorFlow, PyTorch, and other modern frameworks.
NLP & LLMs : Build and optimize real-world applications leveraging Natural Language Processing and Large Language Models (LLMs).
MLOps & Engineering : Develop and manage end-to-end ML pipelines, integrating with CI / CD systems, using tools like Docker and cloud platforms (AWS, GCP, or Azure).
System Architecture : Collaborate with software and data engineers to define robust and scalable architectures.
Cross-functional Collaboration : Work closely with product managers, business teams, and engineers to

align AI initiatives with business goals.

Risk Management : Identify project risks early, conduct root cause analyses, and implement mitigation strategies.

Documentation & Standards : Ensure technical documentation and maintain coding best practices throughout the lifecycle.

Mentorship & Growth : Coach junior team members, identify upskilling needs, and support their career development.

Required Qualifications :

Bachelor's or Masters degree in Computer Science, Engineering, Data Science, AI, or a related field.

5+ years of hands-on experience in AI / ML or Data Science in real-world applications.

Strong experience in Python and libraries like NumPy, Pandas, Scikit-learn, etc.

Expertise in Natural Language Processing (preferred) or Computer Vision.

Experience building and deploying AI systems in production.

Proficiency in ML frameworks : PyTorch, TensorFlow.

Strong understanding of Generative AI and practical experience with LLMs.

Experience with web frameworks such as Flask, FastAPI, or Django.

Cloud experience with AWS, GCP, or Azure.

Familiarity with SQL / NoSQL, Git, CI / CD, and containerization tools like Docker.

Solid grasp of software engineering principles and MLOps practices.

Preferred Qualifications :

Experience with Big Data tools like Apache Spark, Kafka, Kinesis.

Familiarity with cloud ML platforms such as AWS SageMaker or GCP ML Engine.

Exposure to data visualization tools such as Tableau or Power BI

(ref : hirist.tech)

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Artificial Intelligence Engineer • Pune