drjobs Technical Intern

Technical Intern

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1 Vacancy
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Job Location drjobs

Mohali - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Project Support: Collaborate with experienced team members to assist in various projects tasks and assignments relevant to your department.
Research and Analysis: Conduct research and analysis as required contributing to the development of reports presentations and recommendations.
Documentation: Maintain accurate records and documentation related to your work ensuring compliance with company policies and procedures.
Team Collaboration: Work closely with colleagues to learn from their expertise share ideas and contribute to team goals and objectives.
Continuous Improvement: Identify opportunities for process improvement and efficiency in your area of responsibility and share your insights with your team.
Adaptability: Be open to new challenges and responsibilities as you explore different aspects of your department and the company.
Learning and Development: Actively participate in training sessions workshops and onthejob learning experiences to acquire a solid understanding of your role and industry.




Requirements

Bachelors degree (BTech BCA CSE B.E. BSc. in a relevant field from an accredited institution.

Good verbal and written communication skills.

Willingness to take on challenges and solve problems creatively.

Ability to adapt to changing priorities and tasks as needed.

Strong attention to detail and organizational skills.

A strong desire to learn and develop both professionally and personally.

Ability to work effectively in a collaborative team environment.



Benefits

  • Opportunities to work with multiple global technology leaders.
  • Handson exposure to bleedingedge Web 3.0 Spectrum technologies.
  • Opportunity to attend highly sought after technical training.
  • Vast opportunity to grow and excel in multiple domains.
  • Work in a Vibrant Office environment.



Educational Background: Bachelor's and Master s degrees in Data Science, Computer Science, Statistics, or a related field. Technical Skills: Proficient in Python and familiar with key data science libraries (Pandas, Scikit-Learn, TensorFlow, or PyTorch). Strong understanding of all complex machine learning algorithms not limited to decision trees, random forests, and gradient boosting machines. Competence in data preprocessing, cleaning, and analysis. Familiarity with data cleaning, transformation, and preprocessing techniques. Experience with SQL and possibly some NoSQL databases for data querying and manipulation. Basic knowledge of data visualization tools like Matplotlib and Seaborn. Strong skills in SQL for data extraction, and the ability to work with complex database systems. Advanced knowledge of analytical tools and software such as Excel, Tableau, or more specialized software depending on the industry (e.g., SAS, SPSS). Experience with data visualization and the ability to create interactive dashboards. Vast knowledge of NLP, Deep Learning, Machine Learning , Knowledge of genAI with implementation knowledge (LLM, fine tuning RAG implementation) and many more. Familiarity with cloud services (AWS, Azure, Google Cloud) for data processing and storage.. Professional Experience: 2-3 years of experience in a data science or related role. Proven track record of developing and deploying machine learning models to solve business problems. Experience in projects that involve complex data structures and large-scale datasets. Exposure to model validation and implementation in a production environment. Demonstrated experience in analyzing large datasets and delivering actionable insights. Proven track record of effectively communicating findings to help inform business decisions. Experience in performing statistical analysis, forecasting, and establishing data structures that optimize analytical capabilities. Soft Skills: Strong problem-solving skills with a capability to work through complex issues using a logical and analytical approach. Good communication skills to effectively articulate insights and technical details to non-technical stakeholders. Ability to work collaboratively in team settings and manage project timelines effectively. Strong attention to detail with the capability to work on multiple projects simultaneously. Effective communication skills, capable of presenting complex information in an understandable and compelling manner. Collaboration skills to work effectively with both technical teams and business units.

Employment Type

Full Time

Company Industry

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