Diverse Lynx
Responsible for designing, developing, testing, operating and maintaining products
Takes full stack ownership by consistently writing production-ready and testable code
Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs
Performs analysis on failures, propose design changes, and encourage operational improvements
Makes sound design/coding decisions keeping customer experience in the forefront
Takes feedback from code review and apply changes to meet standards
Conducts code reviews to provide guidance on engineering best practices and compliance with development procedures
Accountable for ensuring all aspects of product development follow compliance and security best practices
Design and architect end-to-end AI/ML solutions that meet business requirements and technical specifications.
Develop and implement scalable machine learning and deep learning models, ensuring they integrate seamlessly into existing systems.
Create architectures for NLP applications, including text processing, sentiment analysis, named entity recognition, and language modelling.
Leverage generative AI and large language models (LLMs) to develop innovative applications.
Collaborate with data engineers to design data pipelines and ensure data quality and accessibility.
Provide technical leadership and guidance to data scientists and engineers throughout the development lifecycle.
Evaluate and select appropriate AI/ML tools, frameworks, and technologies to meet project needs.
Ensure best practices in AI/ML model development, including versioning, testing, and validation.
Stay updated with the latest advancements in AI/ML technologies and incorporate them into architectural designs.
Communicate complex AI/ML concepts and solutions effectively to non-technical stakeholders.
Desirable Skills:
Bachelors or Master's degree in Computer Science, Data Science, Engineering, or a related field. Expertise in Java, J2EE, and related frameworks (Spring, Hibernate, etc.). Proven experience (8+ years) in designing and implementing AI/ML solutions, with a strong focus on machine learning, deep learning, NLP, and generative AI. Extensive experience with machine learning algorithms, model development, and deployment. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras.Expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc. Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services.Knowledge of big data technologies and tools such as Hadoop, Spark, and Kafka. Proficiency in programming languages such as Python Excellent problem-solving skills and the ability to design robust, scalable AI/ML architectures. Strong communication skills, with the ability to present technical concepts to both technical and non-technical audiences. Experience in leading and mentoring technical teams. Experience with MLOps practices and tools for continuous integration and deployment of machine learning models. Familiarity with data visualization tools such as Looker, Tableau, Power BI, or similar. Experience with REST API & Spring Boot design and development Knowledge in API security risks and microservices resilience Experienced in Git, Jira, Jenkins, and test automation Experience in agile methodology, and Scrum, Kanban Experienced in Apigee, Istio, Kubernetes, Kafka, AWS and GCP preferred Good communication and collaboration skills to drive onshore/offshore development activities Thorough understanding of a feature, the users impacted, the flows impacted and features purpose Thorough understanding of the business model in relation to current product focus area Adept with agile software development lifecycle and DevOps principles Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Desirable Skills:
Bachelors or Master's degree in Computer Science, Data Science, Engineering, or a related field. Expertise in Java, J2EE, and related frameworks (Spring, Hibernate, etc.). Proven experience (8+ years) in designing and implementing AI/ML solutions, with a strong focus on machine learning, deep learning, NLP, and generative AI. Extensive experience with machine learning algorithms, model development, and deployment. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras.Expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc. Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services.Knowledge of big data technologies and tools such as Hadoop, Spark, and Kafka. Proficiency in programming languages such as Python Excellent problem-solving skills and the ability to design robust, scalable AI/ML architectures. Strong communication skills, with the ability to present technical concepts to both technical and non-technical audiences. Experience in leading and mentoring technical teams. Experience with MLOps practices and tools for continuous integration and deployment of machine learning models. Familiarity with data visualization tools such as Looker, Tableau, Power BI, or similar. Experience with REST API & Spring Boot design and development Knowledge in API security risks and microservices resilience Experienced in Git, Jira, Jenkins, and test automation Experience in agile methodology, and Scrum, Kanban Experienced in Apigee, Istio, Kubernetes, Kafka, AWS and GCP preferred Good communication and collaboration skills to drive onshore/offshore development activities Thorough understanding of a feature, the users impacted, the flows impacted and features purpose Thorough understanding of the business model in relation to current product focus area Adept with agile software development lifecycle and DevOps principles Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.