Displaying 1 - 5 of 5

Tech Mahindra Limited
Boston, Massachusetts
Job Title: Lead Data Science (AWS/Azure Data bricks Experience, Python) Year of Experience: 8+ Years of Experience Lead Data Scientist responsibilities include managing the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you are also able to align our data products with our business goals,
Tech Mahindra Limited
Boston, Massachusetts
Job Title: Data Engineer (AWS/Azure Data bricks Experience, Python) Exp : 8 Years Location : Boston, MA Job Description: As a Data Engineer with Databricks on AWS or Azure experience at, you will play a crucial role in the design, development, and maintenance of data pipelines for a Lakehouse. Key Responsibilities: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related f
Tech Mahindra Limited
Raleigh, North Carolina, United States, North Carolina
Job Description Job Title: Azure Data Architect Location: Raleigh NC (Onsite) Experience : 10 Years Mandatory Skill Azure Data Architect Experience Synapse to Databricks implement Databricks Hand's on Experience ADF & Synapse Data modeling, designing strategy & data architecture concepts cloud technologies Experience Synapse over SQL Job Details More than 8+ years of relevant experience in data en
Tech Mahindra Limited
Dallas, Texas
Job Title : Python AI ML Engineer Job Location : Irving / Dallas TX (Onsite) Experience : 12+ Years Duration: 6 Months We are looking Consultant good on Python and Machine Learning with good exposure to any LLM Responsibilities Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications
Tech Mahindra Limited
Santa Clara, California
Job Title : Sr Lead Data Science Location: Santa Clara , CA (Onsite) Experience: 8 years Duration : 6 months Job Requirements 1. A minimum of 7 years of experience in data science, with a proven track record of delivering impactful data-driven solutions. 2. In-depth expertise in statistical analysis, machine learning algorithms, and predictive modeling techniques. 3. Strong programming skills in l