Position:
- Data Scientist / Data Analyst
Company:
- Turing
Location:
- India
Job type:
- Full time
Job mode:
- Remote
Job requisition id:
- Not specified
Years of experience:
- 0 to 3 years
Company description:
- Turing operates as a rapidly scaling AI focused organization that works on building and improving advanced artificial intelligence systems across industries.
- The company collaborates with some of the most advanced AI research labs globally, contributing to the development of next generation models that focus on reasoning, coding, multilingual capabilities, and problem solving across domains.
- It plays a dual role in the ecosystem by not only participating in research driven innovation but also applying those learnings to solve real business challenges faced by organizations worldwide.
- Turing enables companies to build intelligent systems that can handle mission critical workflows, automate decision making, and improve operational efficiency using AI driven insights.
- The organization emphasizes innovation, experimentation, and practical deployment of AI solutions rather than limiting its efforts to theoretical research.
- It supports enterprises by providing access to skilled professionals who can contribute to building and refining AI models tailored to business requirements.
- The company has established partnerships with well known global brands and technology leaders, which reflects its credibility and capability in delivering impactful AI solutions.
- With a distributed work culture, Turing allows professionals to collaborate remotely while contributing to high impact global projects.
- The organization focuses on creating scalable AI systems that can adapt to evolving industry needs and technological advancements.
- It also invests in continuous improvement by integrating new tools, frameworks, and methodologies into its workflows.
Profile overview:
- This role is designed for individuals who are passionate about working at the intersection of data science, analytics, and artificial intelligence.
- Candidates will be involved in solving real world problems by applying analytical thinking, programming skills, and domain understanding.
- The position requires writing efficient Python code to address complex challenges related to AI model training and evaluation.
- Professionals will engage with datasets from multiple sources, including public repositories and enterprise systems, to extract meaningful insights.
- The role includes working closely with AI researchers, developers, and other stakeholders to contribute toward building advanced AI solutions.
- Candidates are expected to demonstrate strong reasoning skills while documenting their approach and explaining their logic clearly.
- The work involves both technical implementation and analytical interpretation, making it suitable for individuals who enjoy a mix of coding and data analysis.
- Responsibilities include evaluating model outputs, identifying areas of improvement, and contributing to refining AI systems for better performance.
- Professionals will also participate in activities such as supervised fine tuning and reinforcement learning processes to enhance model capabilities.
- The role demands attention to detail, structured thinking, and the ability to communicate findings effectively to both technical and non technical audiences.
Qualifications:
- A degree in Engineering, Computer Science, or a related field is expected, although equivalent practical experience can also be considered.
- Candidates should possess strong programming skills, particularly in Python, with the ability to write clean, efficient, and scalable code.
- A solid understanding of data analysis techniques is required, including the ability to interpret datasets and derive actionable insights.
- Familiarity with machine learning concepts such as regression, classification, clustering, and model evaluation is important.
- Candidates should demonstrate strong problem solving abilities and a structured approach to tackling complex challenges.
- Effective communication skills are necessary to collaborate with cross functional teams and present findings clearly.
- Proficiency in English, both written and spoken, is required to work in a global remote environment.
- An understanding of AI model evaluation processes, including benchmarking and performance analysis, will be beneficial.
- Exposure to tools like Jupyter notebooks and experience in documenting workflows will add value to the profile.
- A strong interest in artificial intelligence and a willingness to continuously learn new technologies are essential for success in this role.
Additional info:
- The position operates in a fully remote setup, allowing candidates to work from any location while collaborating with global teams.
- The role is offered as a contractor engagement, which means benefits such as paid leave or medical coverage are not included.
- Candidates are expected to commit a minimum number of working hours per week, with flexible options depending on availability.
- There is a requirement to overlap working hours with Pacific Standard Time to ensure smooth collaboration with international teams.
- The initial contract duration is short term, with potential extensions based on performance and project needs.
- The selection process includes technical and cultural evaluation rounds to assess both skill level and alignment with the organization.
- Professionals will have the opportunity to work on cutting edge AI projects that involve real world applications and advanced technologies.
- The role provides exposure to large language models and modern AI techniques used by leading companies.
- Candidates will gain hands on experience in tasks such as model evaluation, fine tuning, and performance optimization.
- This opportunity is suitable for individuals looking to build a career in AI while working in a flexible and globally connected environment.
Please click here to apply.

