Read Notes Before Sending the Profiles || Data Scientist/AI/ML Enginner || Reston, VA (Hybrid)

[YASH SHARMA]

Job Title: Data Scientist (AI/ML Engineer)

Job Location: Reston, VA/ Columbia, MD/ Baltimore, MD/ Washington, DC (Hybrid – 2 or 3 Days in a Month)

Job Type: Contract

Notes:

• Only for DC/MD/VA State
• Only for H1B/H4-EAD
• Must have 7 Years of the USA Experience
• Overall 8-10 Years of Experience

Hiring Manager Required Skills:

• AI/ML Engineer
• AWS Sagemaker — MUST HAVE
• Build model, ingestion data, deploy model
• Enhance and build new models — GenAI
• 1 year GenAI experience — MUST HAVE
• Python, NO SQL — MUST HAVE
• Any cloud based DB is OK — they are using snowflake

Job Description:

Responsibilities:

• Develop ML models, predictive analytics, and automation solutions.
• Analyze large datasets to support business decisions and product improvements.
• Perform data mining, statistical analysis, and anomaly detection.
• Build, maintain, and optimize ML/GenAI solutions using AWS SageMaker, Bedrock, and AgentCore.
• Process, cleanse, and validate data for analytics and reporting.

Requirements:

• Master's Degree or Ph.D. in STEM with 2+ years preferred OR Bachelor’s Degree in STEM with 7+ years.
• Experience in predictive modeling, data science, machine learning, or user and entity behavior analytic development.
• Experience in developing predictive, prescriptive, optimization, and forecasting models, including the use of contemporary techniques such as and not limited to support vector machines, neural networks, and gradient boosting.
• Experience in developing of Generative AI solution with LLM and custom model to provide AI solution to business.
• Experience in interpreting results from statistical and mathematical models.
• A minimum of two years’ experience in applying Data Science/ Analytics to Health Insurance/Health Care related problems/use cases.
• At least 1 years focused on applications of Generative AI solution.
• Experience in programming languages like Java, Python and/or R for complex data manipulation, statistical analysis, and machine learning.
• Experience in Analytic development with streaming and a Hadoop ecosystem (Hive, Spark, etc.).
• Experience in SQL, NoSQL, graph-based, Key/Value stores, document stores.
• Experience with cloud base data platform like Snowflake and use training/build model.
• Experience with one or more cloud services (AWS Sagemaker, MS Azure).
• Experience applying machine learning to real-world production systems, analytic development based on SparkML and other ML libraries.
• Experience in advanced data visualizations and interpretation using data visualization tools is plus (e.g., Tableau, Power BI).
• Familiarity with common Linux/Unix command line tasks and version control software like git or svn preferable.
• Using and developing statistical analysis, modeling, simulation, and machine learning methods.
• Comfort with complex mathematical concepts and models.
• Experience with Agile Methodology/Scrum Development and DevOps.
• History of solving difficult problems using a scientific approach highly preferred.
• Ability to communicate and present the work effectively and influence others.
• Ability to work in a fast paced environment and shift gears quickly.

Yash Sharma | Technical Recruiter

Email: yashsitre...@gmail.com

 

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