Sequertek - AL/ML Architect

Position : AL/ML Architect.

Location : Mumbai/Bangalore.

Experience :

- 10+ years overall with 4-5 years as Architect.

- 4+ years of experience applying statistical/ML algorithms and techniques to real-world data sets.

- 4+ years as a developer with experience in related scalable and secure applications.

- 2+ years experience independently designing core product modules or complex components.

- Hands on Experience on GenAI.

Key Responsibilities :

- Involves in Designing and Overseeing the overall architecture of ML systems, including data pipelines, model selection, deployment strategies, and ensuring scalability and performance.

- Require a strong understanding of AI algorithms, data engineering, and software architecture, while collaborating with cross-functional teams to translate business needs into effective ML solutions.

- Define the overall architecture of ML systems, considering data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment pipelines.

- Evaluate and select appropriate ML algorithms based on data characteristics and business objectives.

- Design and implement data pipelines for data collection, cleaning, transformation, and feature engineering.

- Ensure ML systems can handle large volumes of data and deliver efficient predictions.

- You are expected have depth/breadth of knowledge of specified multiple technological areas, and architectural areas, which includes knowledge of applicable processes, methodologies, standards, products and frameworks.

- You would be responsible for defining and documenting architecture, capturing and documenting non-functional (architectural) requirements, preparing estimates and defining technical solutions to proposals (RFPs).

- You should provide technical leadership, mentor and guide team of developers, who would be developing the solution.

- You need to collaborate with multiple teams to arrive at technical and tactical decisions.

- You should contribute and adopt practices such as reuse, defect prevention, process optimization, process automation, productivity enhancement.

Skills :

- Expert knowledge of languages such as Python.

- Proficiency in Probability, Statistics and Linear Algebra.

- Proficiency in Machine Learning, Deep Learning, NLP, [GenAI is add on].

- Familiarity with Data science platforms, Tools and frameworks.

- Designs scalable processes to collect, manipulate, present, and analyse large datasets in a production-ready environment.

- Experience with large volumes of data, algorithms, and prototyping.

- Nifi, Kakfa, HDFS, Big Data, MongoDB, Cassandra.

- CI/CD pipelines with tools like GIT, Jenkins, Maven, Ansible, Docker.

- Prefer great appreciation or expertise in Security products such as End point detection, protection and response, Managed detection and response etc.