Senior Data Scientist AI/ML

Company Overview

Company details are not specified.

Job Summary

The Senior Data Scientist AI/ML will play a crucial role in advancing our AI and machine learning projects. The position is designed for an experienced professional who can leverage their analytical skills and expertise in various technologies to drive data-driven solutions and contribute to the organization's strategic objectives.

Responsibilities

• Develop and implement advanced machine learning models and algorithms to solve complex business problems.
• Collaborate with cross-functional teams to gather requirements and assess the feasibility of analytical projects.
• Utilize tools such as Python, Rag, and LangChain to enhance data processing and analysis.
• Conduct experiments and validate models' performance through rigorous testing and optimization techniques.
• Communicate findings and insights effectively to stakeholders and contribute to decision-making processes.
• Stay updated with the latest trends and advancements in AI and Machine Learning, incorporating relevant innovations into existing workflows.

Qualifications

• Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• 8+ years of experience in data science, particularly focusing on AI and machine learning applications.
• Proficiency in programming languages such as Python.
• Strong knowledge of tools and frameworks including Rag, LangChain, Lang graph, and Crew AI.
• Experience in handling large datasets and deploying machine learning models.
• Excellent problem-solving skills and attention to detail.
• Strong verbal and written communication skills for effectively conveying ideas and findings.

Preferred Skills

• Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
• Experience with big data technologies (e.g., Spark, Hadoop).
• Background in statistical analysis and predictive modeling techniques.

Experience

• A minimum of 8 years of relevant experience in data science and machine learning.

Environment

• The position is offered as a remote role with potential onsite requirements as necessary.

Salary

• Salary details are not specified, but the range is anticipated to be around 1.6 LPM (local per month).

Growth Opportunities

• Opportunities for career advancement within the organization are not specified.

Benefits

• Specific benefits offered are not mentioned.