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Job Title: AI/ML Engineer
Location: New Jersey NJ ( Onsite day 1 )
12 Months COntract or Direct Fulltime
Day1 onsite
Responsibilities:
Develop and implement AI/ML models and algorithms to solve business problems.
Collaborate with crossfunctional 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 finetune AI/ML models for performance and accuracy.
Design and develop data pipelines to preprocess and transform data for AI/ML 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:
Bachelors or masters degree in computer science Engineering or a related field.
69 years of demonstrated experience in applied AI/ML engineering.
Strong programming skills in Python with experience in developing and maintaining productionlevel code.
Proficiency in working with large datasets and data preprocessing.
Solid understanding of Software Testing and SRE practices DevOps and Observability
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 problemsolving 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 frontend development skills including HTML CSS and JavaScript. Grafana Splunk ServiceNow
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 finetune LLM with a focus on parameterefficient mixtureofexpert and instruction methods designing and developing advanced LLM prompts RetrievalAugmented Generation (RAG) solutions and Intelligent agents for the LLMs and executing experiments to push the capability limits of LLM models and enhance their dependability.
Full Time