Data/Modeling Scientist II

Posted Yesterday
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Gurgaon, Gurugram, Haryana
Junior
Logistics • Other
The Role
As a Data Scientist specializing in Deep Learning and Generative AI, you will develop and implement AI models for manufacturing problems, analyze large datasets for insights, and work with cross-functional teams on AI solutions, focusing on LLM applications and innovations.
Summary Generated by Built In

Donaldson is committed to solving the world’s most complex filtration challenges. Together, we make cool things. As an established technology and innovation leader, we are continuously evolving to meet the filtration needs of our changing world. Join a culture of collaboration and innovation that matters and a chance to learn, effect change, and make meaningful contributions at work and in communities.

 

We are seeking a highly skilled and motivated Data Scientist with a specialization in Deep Learning and Generative AI to join our team at Donaldson. The ideal candidate will possess a strong problem-solving ability, technical expertise, and a positive attitude. This position will play a key part in developing cutting-edge AI-driven solutions, with an initial focus on Generative AI applications using LLMs. Over the long term, the position will collaborate with cross-functional teams to design and implement customized AI solutions leveraging deep learning and Generative AI architectures to optimize manufacturing processes.

Key Responsibilities:

  • Develop and Implement AI Models: Design, develop, and deploy deep learning and generative AI models to solve complex manufacturing problems, such as predictive maintenance, quality control, and process optimization.

  • Data Analysis and Interpretation: Analyze large datasets from various sources to extract actionable insights and identify patterns.

  • Develop LLM-Based Applications: Create and implement generative AI tools using large language models (LLMs) to optimize internal business functions, automating workflows and enhancing decision-making.

  • Collaborate with Cross-Functional Teams: Collaborate with cross-functional teams in India and the United States to identify opportunities for data-driven solutions and translate business needs into technical requirements.

  • Stay Updated with AI Trends: Keep up with the latest AI advancements and emerging AI tools to drive continuous innovation.

  • Technical Documentation: Prepare comprehensive documentation for developed models, algorithms, and processes to ensure reproducibility and knowledge sharing within the team. Ensure code quality, maintainability, and best practices in model deployment and integration.

Qualifications:

  • Educational Background: Ph.D. or Master’s (Preferred) in computer science, Data Science, Physics, Statistics or a related field with a focus on AI and machine learning.

Technical Skills:

  • Programming Languages: Proficiency in Python and SQL is a must. Knowledge of other programming languages is an added advantage.

  • Deep Learning Frameworks: Experience with TensorFlow/PyTorch, and Keras.

  • Generative AI Models: Familiarity with GANs, VAEs, transformers, and large language models (LLMs).

  • Statistical Knowledge: Strong foundation in statistics, probability, and statistical modeling.

  • Data Science Libraries: Proficiency with libraries such as NumPy, pandas, scikit-learn, and Matplotlib.

  • Frameworks and Tools: Experience with LangChain for building applications with LLMs, and other relevant tools and frameworks.

Soft Skills: 

  • Strong problem-solving mindset and logical thinking.

  • Ability to collaborate effectively with cross-functional teams.

  • Positive attitude toward continuous learning and acquiring new skills.

  • Excellent communication skills, both verbal and written.

  • Strong teamwork and interpersonal skills.

  • Mentor others in area of expertise

  • Prioritize tasks effectively and manage multiple projects simultaneously.

    Preferred Experience:

    • 2 to 3 years of hands-on experience in data science with a strong focus on Deep learning & Generative AI

    • Experience in the manufacturing industry or a related field.

    • Knowledge of IoT and edge computing technologies.

    • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.

    • Additional Tools: Experience with Snowflake, Azure, and Databricks would be an added advantage.

    Employment opportunities for positions in the United States may require use of information which is subject to the export control regulations of the United States. Hiring decisions for such positions are required by law to be made in compliance with these regulations. Applicants for employment opportunities in other countries must be able to meet the comparable export control requirements of that country and of the United States.

    Donaldson Company has been made aware that there are several recruiting scams that are targeting job seekers.  These scams have attempted to solicit money for job applications and/or collect confidential information, Donaldson will never solicit money during the application or recruiting process.  Donaldson only accepts online applications through our Careers | Donaldson Company, Inc. website and any communication from a Donaldson recruiter would be sent using a donaldson.com email address.  If you have any questions about the legitimacy of an employment opportunity, please reach out to [email protected] to verify that the communication is from Donaldson.

    Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law.

    Top Skills

    Python
    SQL
    The Company
    HQ: Bloomington, MN
    14,000 Employees
    On-site Workplace
    Year Founded: 1915

    What We Do

    Donaldson Company helps solve some of the world's most complex filtration and contamination control challenges, and is one of the largest global providers of unique filtration technologies and high-quality filters and parts. Our filtration technologies and products are used every day, in a variety of industries and environments, including aerospace, agriculture, construction, food and beverage, manufacturing, mining, power generation, transportation and many more. Key to our success, our 14,000 employees support customers at sales, manufacturing and distribution centers from over 140 locations on six continents.

    The filtration market continues to grow. Customers'​ needs for filtration solutions continue to evolve. And the opportunities for our products and our people continue to expand.

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