AI/ML Engineer

Diamondpick - Jersey City, NJ

Full-time - Mid Level

Jersey City, NJ

Administrative and Support Services

About the position

As an AI/ML Engineer, you will be responsible for developing and implementing advanced AI and machine learning models and algorithms to address various business challenges. This role requires collaboration with cross-functional teams to gather requirements and translate them into effective technical solutions. You will train and evaluate AI/ML models using large datasets, focusing on tasks such as designing test cases, automating coding processes, creating self-healing codes, predicting defects, and identifying optimized regression cases. Your expertise in advanced statistical and machine learning techniques, including predictive modeling, time series analysis, and optimization algorithms, will be crucial in extracting valuable insights from complex data sets. In addition to model development, you will optimize and fine-tune AI/ML models to enhance their performance and accuracy. You will also design and develop data pipelines to preprocess and transform data for AI/ML applications. Continuous learning is a key aspect of this role, as you will be expected to stay updated with the latest trends and advancements in data science and machine learning, actively seeking opportunities to enhance your skills and knowledge.

Responsibilities

• Develop and implement AI/ML 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/ML models using large datasets.
• Train and evaluate AI/ML models to help design test cases, automate coding, design self-healing codes, predict defects, identify optimized regression cases, etc.
• Apply advanced statistical and ML techniques, including predictive modeling, time series analysis, and optimization algorithms, to extract insights from complex data sets.
• Optimize and fine-tune AI/ML models for performance and accuracy.
• Design and develop data pipelines to preprocess and transform data for AI/ML models.
• 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/ML 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/ML 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/ML models.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Knowledge of infrastructure operations.

Nice-to-haves

• Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices.
• 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 in the LLM ecosystem (e.g., Langchain, Vector databases, CHATGPT).
• Assess and choose suitable LLM tools and models for diverse tasks, including curating custom datasets and fine-tuning 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.