Diverse Lynx
AI/ML Engineer
Diverse Lynx, Jersey City, New Jersey, United States, 07390
Job Title: AI/Client
Location : New Jersey, NJ
Responsibilities:
- Develop and implement AI/Client models and algorithms to solve business problems.
- Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
- Train and evaluate AI/Client models using large datasets.
- Train and evaluate AI/Client models to help design test cases , automate coding , design self healing codes , predict defects, identify optimized regression cases, etc.
- Apply advanced statistical and Client techniques, including predictive modeling, time series analysis, and optimization algorithms, to extract insights from complex data sets.
- Optimize and fine-tune AI/Client models for performance and accuracy.
- Design and develop data pipelines to preprocess and transform data for AI/Client models.
- Continuous Learning: Stay updated with the latest trends and advancements in data science, machine learning, and related fields, and actively seek opportunities to enhance skills and knowledge.
Requirements:
- Bachelor's or master's degree in computer science, Engineering, or a related field.
- 6-9 years of demonstrated experience in applied AI/Client engineering.
- Strong programming skills in Python, with experience in developing and maintaining production-level code.
- Proficiency in working with large datasets and data preprocessing.
-Solid understanding of Software Testing and SRE practices
- Solid understanding of AI/Client algorithms and techniques, including deep learning, time series forecasting and natural language processing.
- Experience with cloud platforms, such as AWS for deploying and scaling AI/Client models.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- Knowledge of infrastructure operations
Preferred Qualifications:
- Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScript
- Experience in Automated software testing and Test Automation Frameworks
- Knowledge of large language models (LLMs) , Generative AI and accompanying toolsets the LLM ecosystem (e.g. Langchain, Vector databases, CHATGPT)
- Assess and choose suitable LLM tools and models for diverse tasks including but not limited to curating custom datasets and fine-tune LLM with a focus on parameter-efficient, mixture-of-expert, and instruction methods designing and developing advanced LLM prompts, Retrieval-Augmented Generation (RAG) solutions, and Intelligent agents for the LLMs and executing experiments to push the capability limits of LLM models and enhance their dependability.
Note: Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions. We promote and support a diverse workforce at all levels in the company.
Location : New Jersey, NJ
Responsibilities:
- Develop and implement AI/Client models and algorithms to solve business problems.
- Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
- Train and evaluate AI/Client models using large datasets.
- Train and evaluate AI/Client models to help design test cases , automate coding , design self healing codes , predict defects, identify optimized regression cases, etc.
- Apply advanced statistical and Client techniques, including predictive modeling, time series analysis, and optimization algorithms, to extract insights from complex data sets.
- Optimize and fine-tune AI/Client models for performance and accuracy.
- Design and develop data pipelines to preprocess and transform data for AI/Client models.
- Continuous Learning: Stay updated with the latest trends and advancements in data science, machine learning, and related fields, and actively seek opportunities to enhance skills and knowledge.
Requirements:
- Bachelor's or master's degree in computer science, Engineering, or a related field.
- 6-9 years of demonstrated experience in applied AI/Client engineering.
- Strong programming skills in Python, with experience in developing and maintaining production-level code.
- Proficiency in working with large datasets and data preprocessing.
-Solid understanding of Software Testing and SRE practices
- Solid understanding of AI/Client algorithms and techniques, including deep learning, time series forecasting and natural language processing.
- Experience with cloud platforms, such as AWS for deploying and scaling AI/Client models.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- Knowledge of infrastructure operations
Preferred Qualifications:
- Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScript
- Experience in Automated software testing and Test Automation Frameworks
- Knowledge of large language models (LLMs) , Generative AI and accompanying toolsets the LLM ecosystem (e.g. Langchain, Vector databases, CHATGPT)
- Assess and choose suitable LLM tools and models for diverse tasks including but not limited to curating custom datasets and fine-tune LLM with a focus on parameter-efficient, mixture-of-expert, and instruction methods designing and developing advanced LLM prompts, Retrieval-Augmented Generation (RAG) solutions, and Intelligent agents for the LLMs and executing experiments to push the capability limits of LLM models and enhance their dependability.
Note: Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions. We promote and support a diverse workforce at all levels in the company.