Tech Lead

Technical Requirements

Solutioning Experience Experience in architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions. Prior development of a large software project using service-oriented architecture operating with real time constraints.

Proof of Concept POC Development Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.

Technical Skills Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc.

Cloud Experience Familiarity with cloud platforms Azure, AWS, GCP and related services

Experience in full AI project lifecycle, from research and prototyping to deployment in production environments. preferably Azure

Experience with version control systems, particularly Git, and proficiency with GitHub for code collaboration and repository management.

Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.

Good understanding of distributed systems, understanding of microservice architecture and REST APIs.

Excellent knowledge and working experience with Docker containers. Consistent track record in developing large scale distributed applications.

Experience with transformer-based and diffuser-based models BERT, GPT, T5, Llama, Stable diffusion

Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD)

Preferred training & fine-tuning experience on large data

Work closely with data engineers and data analysts to help build ML and statistics driven data quality and continuous data monitoring workflows.

Functional Requirements

Total 5+ years of relevant experience

Education Degree in Computer Science, Mathematics, Engineering, or a related field.

Business Acumen Ability to understand customer needs and business objectives. Experience in working closely with customers and translating their requirements into effective AI solutions.

Customer Engagement and Support Act as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases.

Documentation and Knowledge Sharing Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Preferably JIRA ConfluenceSoft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.

Industry Trends and Innovation Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation.

Schedule: Full-time

Travel: No