Saturday, August 31, 2024

UG- 51 (31 Aug 2024) Recruitment Drive - Enthral.ai | Hiring for “AI/ML Developer” as Freshers |

 

Recruitment Drive - Enthral.ai | Hiring for “AI/ML Developer” as Freshers | Approx. Packages Post Internship: Upto Rs. 2,80,000/- to Rs. 3,50,000/- Per Annum

Greetings from upGrad Learning Center, Pune

NOTE: This recruitment drive is entirely cost-free for all eligible and interested candidates. Refer your Friends also.

Company Name: Enthral.ai

Position: AI/ML Developer

Experience: Fresher

Job Location: Pune

Internship Duration: 03 to 06 Months

Approx. Internship Stipend: Upto Rs. 8,000/- to Rs. 10,000/- Per Month. (The first month will be unpaid.)

Approx. Packages Post Internship: Upto Rs. 2,80,000/- to Rs. 3,50,000/- Per Annum. (If selected after internship based on performance)

Bond: 01 Year

Educational Criteria: 

  • Any Graduate and Post Graduate
  • No Pass-out Criteria and Percentage Criteria

Job Description:

As an AI Data Scientist, you will be responsible for leveraging data to develop and deploy machine learning models, algorithms, and AI solutions. You will work closely with cross-functional teams to identify opportunities for leveraging data-driven insights to improve business processes and drive innovation. Your role will involve data analysis, model development, and deployment in both research and production environments.

Role & Responsibilities:
  • Data Collection and Preprocessing: Gather and clean data from various sources, ensuring data quality and integrity.
  • Exploratory Data Analysis (EDA): Conduct exploratory data analysis to understand patterns, trends, and relationships within the data.
  • Feature Engineering: Develop relevant features from raw data to improve model performance and interpretability
  • Model Development: Design, implement, and optimize machine learning models and algorithms to solve specific business problems.
  • Model Evaluation: Evaluate model performance using appropriate metrics and techniques, iterating and refining models as necessary.
  • Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and performance.
  • Monitoring and Maintenance: Monitor model performance over time, identifying and addressing issues as they arise. Update models as needed to adapt to changing requirements or data
  • Collaboration: Collaborate with cross-functional teams, including software engineers, data engineers, and domain experts, to integrate AI solutions into existing systems and processes
  • Documentation: Document methodologies, algorithms, and code for reproducibility and knowledge sharing.
  • Research and Innovation: Stay abreast of the latest developments in AI and machine learning research, experimenting with new techniques and technologies to drive innovation.

Skills Required:
  • Programming Skills: Proficiency in programming languages commonly used in data science and machine learning, such as Python or R. Experience with libraries such as TensorFlow, PyTorch, scikit- learn, and pandas is highly desirable.
  • Statistical and Mathematical Skills: Strong understanding of statistical and mathematical concepts relevant to machine learning, including probability theory, linear algebra, and optimization techniques.
  • Problem-Solving Skills: Excellent analytical and problem-solving skills, with the ability to translate business requirements into data-driven solutions.
  • Communication Skills: Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders and collaborate effectively in a team environment.
  • Adaptability: Ability to thrive in a fast-paced, dynamic environment and quickly learn new technologies and tools as needed.
  • Ethical Considerations: Awareness of ethical considerations and potential biases in AI and machine learning models, with a commitment to responsible and ethical use of data.

Deadline to Apply: Monday, 02nd Sept 2024 till 11.00 AM (The profiles won’t be considered after the deadlines)

How to apply: https://forms.gle/2ESbFHHAA1aKgv6q6

Regards,

upGrad - Learning Center, Pune

 + 91 70 30 105 105 | www.upgrad-actima-pune.com   | Google Map: https://maps.app.goo.gl/ekzM9PxacYt5YUbH7   |

Address: upGrad Learning Center, 502, Kotibhaskar Business Court, Opp. Karishma Society, Off Karve Road, Pune

Instagram: https://www.instagram.com/upgradofflinepune

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