| Onsite role :: Data science with Generative AI :: Dallas,TX~Tampa, FL~Jersey City, NJ ::contract at Dallas, Texas, USA |
| Email: sushil.k@mitsinfo.com |
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https://jobs.nvoids.com/job_details.jsp?id=2100649&uid= From: sushil, mitsinfo sushil.k@mitsinfo.com Reply to: sushil.k@mitsinfo.com Hi Please share the resume on Sushil.k@mitsinfo.com Role name: Data science with Generative AI Location : Dallas,TX~Tampa, FL~Jersey City, NJ Job type : contract Role name: | Developer | Role Description: | Pls share profiles based on the JD 6 + years .Generative AI Application Development Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs). Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.Model Development and Deployment Design and develop machine learning models and algorithms to address business challenges and improve product features. Deploy machine learning models in production environments to ensure scalability and efficiency. Optimize and refine models based on performance metrics and feedback. Familiarity with prompt engineering and retrieval-augmented generation Experience in fine-tuning open-source large language models (LLMs)Data Management Collect, clean, and preprocess data from various sources to create robust datasets for training and evaluation. Implement data augmentation and feature engineering techniques to enhance model performance. Maintain and manage data pipelines to ensure seamless data flow and integration. Collaboration and Communication Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner. Provide mentorship and guidance to junior team members and contribute to the upskilling of the team. Work closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals.Qualifications Bachelors or Masters degree in computer science, Statistics, Data Science, or a related field. Ph.D. in a relevant field is a plus. 6+ years of experience in Machine Learning and Data Science. Strong understanding of statistical methods, data structures, and algorithms. Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs. Experience developing and deploying AI solutions on AWS cloud platform. Additionally, experience on Snowflake Cortex is plus. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions. Proven experience in developing and deploying machine learning models in a production environment. Experience working with large datasets and performing data analysis. Previous experience in a similar role or industry is preferred. Excellent communication and collaboration skills. Strong problem-solving skills and analytical thinking Passion for learning and staying up-to-date with the latest advancements in AI fiel | Competencies: | Digital : Artificial Intelligence(AI) | Experience (Years): | 6-8 | Essential Skills: | Pls share profiles based on the JD 6 + years .Generative AI Application Development Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs). Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.Model Development and Deployment Design and develop machine learning models and algorithms to address business challenges and improve product features. Deploy machine learning models in production environments to ensure scalability and efficiency. Optimize and refine models based on performance metrics and feedback. Familiarity with prompt engineering and retrieval-augmented generation Experience in fine-tuning open-source large language models (LLMs)Data Management Collect, clean, and preprocess data from various sources to create robust datasets for training and evaluation. Implement data augmentation and feature engineering techniques to enhance model performance. Maintain and manage data pipelines to ensure seamless data flow and integration. Collaboration and Communication Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner. Provide mentorship and guidance to junior team members and contribute to the upskilling of the team. Work closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals.Qualifications Bachelors or Masters degree in computer science, Statistics, Data Science, or a related field. Ph.D. in a relevant field is a plus. 6+ years of experience in Machine Learning and Data Science. Strong understanding of statistical methods, data structures, and algorithms. Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs. Experience developing and deploying AI solutions on AWS cloud platform. Additionally, experience on Snowflake Cortex is plus. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions. Proven experience in developing and deploying machine learning models in a production environment. Experience working with large datasets and performing data analysis. Previous experience in a similar role or industry is preferred. Excellent communication and collaboration skills. Strong problem-solving skills and analytical thinking Passion for learning and staying up-to-date with the latest advancements in AI fiel | Desirable Skills: | Pls share profiles based on the JD 6 + years .Generative AI Application Development Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs). Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.Model Development and Deployment Design and develop machine learning models and algorithms to address business challenges and improve product features. Deploy machine learning models in production environments to ensure scalability and efficiency. Optimize and refine models based on performance metrics and feedback. Familiarity with prompt engineering and retrieval-augmented generation Experience in fine-tuning open-source large language models (LLMs)Data Management Collect, clean, and preprocess data from various sources to create robust datasets for training and evaluation. Implement data augmentation and feature engineering techniques to enhance model performance. Maintain and manage data pipelines to ensure seamless data flow and integration. Collaboration and Communication Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner. Provide mentorship and guidance to junior team members and contribute to the upskilling of the team. Work closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals.Qualifications Bachelors or Masters degree in computer science, Statistics, Data Science, or a related field. Ph.D. in a relevant field is a plus. 6+ years of experience in Machine Learning and Data Science. Strong understanding of statistical methods, data structures, and algorithms. Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs. Experience developing and deploying AI solutions on AWS cloud platform. Additionally, experience on Snowflake Cortex is plus. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions. Proven experience in developing and deploying machine learning models in a production environment. Experience working with large datasets and performing data analysis. Previous experience in a similar role or industry is preferred. Excellent communication and collaboration skills. Strong problem-solving skills and analytical thinking Passion for learning and staying up-to-date with the latest advancements in AI fiel | Thanks and Regards Sushil Kaushik Keywords: artificial intelligence machine learning Florida New Jersey Texas Onsite role :: Data science with Generative AI :: Dallas,TX~Tampa, FL~Jersey City, NJ ::contract sushil.k@mitsinfo.com https://jobs.nvoids.com/job_details.jsp?id=2100649&uid= |
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| 04:32 AM 22-Jan-25 |