Artificial Intelligence/Machine Learning Lead

2 weeks ago

Bangalore, India Squareroot Consulting Pvt. Ltd. Full time

Job Title : AI/ML Lead and Architect (Machine Learning Modeling Focus)

Location : Bangalore

WFO all 5 days in a week.

Position Overview :

We are seeking an experienced AI/ML Lead and Architect with deep expertise in machine learning modeling. The ideal candidate will have a solid background in designing, developing, and deploying scalable machine learning models that directly impact business outcomes. You will be responsible for leading a team of data scientists and ML engineers, architecting AI solutions, and overseeing the full ML lifecycle, from data gathering to model deployment and monitoring.

Key Responsibilities :

- Lead the development and architecture of machine learning models and AI systems to address specific business needs.

- Design, implement, and optimize machine learning algorithms and predictive models across a variety of use cases (classification, regression, clustering, etc.).

- Manage and mentor a team of machine learning engineers, data scientists, and AI developers, ensuring technical excellence and growth.

- Collaborate with data engineers to design data pipelines that support machine learning model development and deployment.

- Own the end-to-end machine learning lifecycle, including data collection, feature engineering, model training, validation, testing, deployment, and monitoring.

- Ensure scalability, accuracy, and performance of models in production environments through continuous optimization and retraining.

- Monitor model drift, performance degradation, and work on improvements and updates to keep models reliable.

- Integrate models into larger AI systems and collaborate with software engineering teams to ensure smooth deployment and scaling of ML systems.

- Stay up-to-date with the latest machine learning research and advancements, applying innovative techniques to improve model accuracy and performance.

- Communicate model insights and technical strategy to non-technical stakeholders, including executives, product managers, and business leaders.

- Develop and maintain a roadmap for AI and machine learning initiatives, ensuring alignment with organizational goals.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field (Ph.D. preferred).

- 8+ years of experience in AI/ML with a strong focus on machine learning model development, optimization, and deployment.

- Proven track record in machine learning model development (classification, regression, clustering, NLP, etc.), and experience with deep learning techniques.

- Proficiency in machine learning frameworks such as TensorFlow, Keras, PyTorch, and libraries like scikit-learn.

- Extensive experience in Python, R, and familiarity with SQL and NoSQL databases.

- Experience with cloud-based ML platforms like AWS SageMaker, Google Cloud AI, or Azure Machine Learning.

- Expertise in MLOps practices for model versioning, CI/CD pipelines, model monitoring, and maintaining machine learning models in production.

- Solid understanding of data preprocessing techniques, feature engineering, and data pipeline management.

- Experience in model evaluation metrics, A/B testing, hyperparameter tuning, and cross-validation techniques.

- Strong leadership and communication skills to effectively guide teams and work with cross-functional stakeholders.

- Experience working with large datasets and distributed computing systems (Hadoop, Spark) is preferred.

- Experience in specific domains such as NLP, computer vision, or time series analysis is a plus.

Preferred Skills:

- Strong background in statistical analysis and data science methodologies.

- Hands-on experience with reinforcement learning or advanced deep learning architectures (e.g., transformers, GANs).

- Familiarity with big data ecosystems and tools like Hadoop, Spark, and Kafka.

- Ability to manage and implement end-to-end AI/ML workflows, including experimentation and production pipelines.

Soft Skills:

- Analytical mindset with excellent problem-solving skills.

- Strong ability to communicate complex concepts to non-technical stakeholders.

- Proven experience in project management and team leadership.

(ref:hirist.tech)

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