Manager - Artificial Intelligence/Machine Learning

4 weeks ago

HyderabadBangalore, India TOTLRPO Full time

Job Description :


ML Maturity Assessment :

- Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement.

- Provide strategic recommendations to enhance the overall ML capability and align it with business objectives.

ML Ops Roadmap & Processes :

- Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring.

- Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems.

Implementation of Gen AI Solutions :

- Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch.

- Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions.

Incubating and Designing :

- Proactively identify opportunities for ML and Gen AI applications within the organization.

- Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements.

Technical Leadership :

- Provide technical leadership and mentorship to data scientists, engineers, and other team members.

- Collaborate with stakeholders to ensure alignment between technical solutions and business objectives.

Collaboration and Communication :

- Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements.

- Effectively communicate complex technical concepts to non-technical audiences.

Experience Required for this role :

- Bachelor's or advanced degree in Computer Science, Data Science, or a related field.

- Over 12 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions.

- Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps.

- Demonstrable hands-on experience in designing & flawlessly operationalizing the Machine learning system on a cloud and / or an On-Prem platform.

- Extensive experience in implementing Generative AI solutions , including incubation, design, and deployment.

- Strong proficiency in deep learning frameworks such as TensorFlow and PyTorch .

- In-depth knowledge of ML Ops best practices and processes .

- Excellent problem-solving skills and ability to design scalable and reliable ML architectures.

- Strong leadership and communication skills, with a track record of leading successful ML initiatives.

- Experience in Telecom or Hi Tech or Software and platform industry desirable

Tools & Techniques :

- TensorFlow, PyTorch, Scikit-learn, Keras

- NumPy, Pandas

- Matplotlib, Seaborn

- TensorFlow Serving, Docker and Kubernetes

- Good software engineering practices, including code modularization, documentation, and testing.

- Experience with API , Integration architecture , microservices

(ref:hirist.tech)

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