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Delivery Lead- AI Data
2 months ago
Algoleap is one of the fastest growing digital engineering services company based out of Hyderabad working with many fortune 1000 customers in transforming their digital landscape.
At Algoleap, we believe that a truly innovative and successful workplace is one where diversity, equity, and inclusion thrive. We are dedicated to building a team that celebrates unique perspectives and experiences, fostering an environment where everyone is empowered to succeed. Algoleap offers compelling full-time roles designed to help you grow and excel. Our positions come with flexible options, including onsite and hybrid roles, allowing our team members to work closely with our clients and make a direct impact on the engagements at the same time offering great work life balance.
Job Description:
Roles & Responsibilities:
Solution Design and Architecture: Design and architect end-to-end data science solutions aligned with business objectives and technical requirements, including data ingestion, pre-processing, modelling, and deployment, while ensuring integration with existing systems.
Technical Leadership: Provide technical leadership to data scientists, data engineers, and stakeholders, staying current with advancements in data science and AI to enhance solution designs.
Project Management: Lead the planning, execution, and delivery of data science projects on time and within budget, collaborating with project managers on scope, milestones, and progress updates.
Data Strategy and Governance: Define data strategy and governance frameworks to ensure data quality, security, and compliance, establishing best practices for data acquisition, storage, and processing.
Collaboration and Communication: Work closely with business stakeholders to translate needs into technical requirements and communicate complex concepts clearly to non-technical stakeholders, fostering knowledge sharing and innovation.
Solution Implementation and Deployment: Oversee the implementation and deployment of data science solutions, ensuring robustness, scalability, and performance in production environments, with code reviews to uphold best practices.
Performance Optimization and Troubleshooting: Optimize solution performance, including model accuracy, computational efficiency, and resource utilization, creating reusable modules and resolving technical issues.
Required Skills:
Programming : Proficient in Python, R, and Scala.
ML Frameworks : Skilled in TensorFlow, PyTorch, and scikit-learn.
Generative AI : Familiarity with GenAI (GPT, BERT, etc.) and experience in model fine-tuning.
MLOps : Knowledgeable in CI/CD, MLflow, Kubeflow, TFX.
Data Manipulation : Proficient in SQL, Apache Spark, and Hadoop.
Cloud Platforms : Experience in AWS, Azure, Google Cloud for scalable deployments.
Containerization and Orchestration : Skilled in Docker and Kubernetes.
Big Data Technologies : Familiar with tools like Apache Kafka, Apache Flink.
Additional Skills
Experience in project oversight without requiring formal PM certification.
Ability to communicate complex concepts to non-technical stakeholders.
Expertise in defining data governance frameworks and ensuring regulatory compliance.
