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Data Analyst

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Valeo

Oct 12

  • Job
    Full-time
    Mid & Senior Level
  • Research & Development
    Software Engineering
  • Chennai
  • Quick Apply

AI generated summary

  • You must excel in NLP, machine learning, and model implementation. Experience with data pipelines, integration, and proof of concepts is essential. Knowledge of state-of-the-art models is a plus.
  • You will develop NLP and ML solutions, fine-tune models, create data pipelines, prepare data, and build proof of concepts while collaborating with teams for optimal integration and performance.

Requirements

  • Develop and maintain NLP and machine learning solutions tailored to the organization's specific needs.
  • Implement and fine-tune state-of-the-art models, including online LLMs like Gemini, Palm, Claude, etc., and Local LLMs such as Llama-2, GPT4all, etc.,
  • Collaborate with the data team to understand and interpret data structures and needs.
  • Conduct rigorous model training, validation, and testing to ensure optimal performance.
  • Stay updated with the latest advancements in Machine Learning, NLP and Generative AI research and methodologies.
  • Work closely with other technical teams to integrate AI, Machine Learning, NLP and AI solutions into broader systems or platforms.
  • Skills: NLP and NLG, Spacy, BERT, Topic modeling, Named Entity recognition, POS tagging, Gen AI, LLM, Text vectorization, multi-class classification, Machine learning Algorithms
  • Creating data pipelines:
  • Read source data from different formats (excel, csv, txt, pdf etc) and transform the data using suitable scripts in a way to bring out business value from the data
  • Load the data into servers ensuring good data quality, right quantity, technical accuracy and sufficiency to meet project objectives
  • Prepare both structured and unstructured data to the right format to train machine learning algorithms.
  • Proof of concepts:
  • Create quick Proof of concepts using Streamlite, Flask and other similar Front ends.
  • Take care of the functionality and version management of PoCs
  • Own the PoCs and help the deployment team to productionize the application.

Responsibilities

  • Develop and maintain NLP and machine learning solutions tailored to the organization's specific needs.
  • Implement and fine-tune state-of-the-art models, including online LLMs like Gemini, Palm, Claude, etc., and Local LLMs such as Llama-2, GPT4all, etc.,
  • Collaborate with the data team to understand and interpret data structures and needs.
  • Conduct rigorous model training, validation, and testing to ensure optimal performance.
  • Stay updated with the latest advancements in Machine Learning, NLP and Generative AI research and methodologies.
  • Work closely with other technical teams to integrate AI, Machine Learning, NLP and AI solutions into broader systems or platforms.
  • Creating data pipelines:
  • Read source data from different formats (excel, csv, txt, pdf etc) and transform the data using suitable scripts in a way to bring out business value from the data
  • Load the data into servers ensuring good data quality, right quantity, technical accuracy and sufficiency to meet project objectives
  • Prepare both structured and unstructured data to the right format to train machine learning algorithms.
  • Proof of concepts:
  • Create quick Proof of concepts using Streamlite, Flask and other similar Front ends.
  • Take care of the functionality and version management of PoCs
  • Own the PoCs and help the deployment team to productionize the application.

FAQs

What is the job title for this position?

The job title is Data Analyst.

What type of company is Valeo?

Valeo is a global technology company that develops innovative solutions for reinventing mobility, partnering with automotive manufacturers and stakeholders in new mobility worldwide.

What are the main responsibilities of the Data Analyst?

The main responsibilities include developing and maintaining NLP and machine learning solutions, creating data pipelines, conducting model training and validation, and creating proof of concepts using frameworks like Streamlit and Flask.

What kind of skills are required for this role?

Required skills include NLP and NLG, Spacy, BERT, topic modeling, named entity recognition, text vectorization, multi-class classification, machine learning algorithms, and experience with local and online large language models.

What formats of data should the Data Analyst be able to handle?

The Data Analyst should be able to handle data from various formats such as Excel, CSV, TXT, and PDF.

Is this a full-time position?

Yes, this is a full-time position.

What is the employment status for this role?

The employment status is permanent.

When was this job posted?

The job was posted on 2024-08-30.

What kind of work environment can employees expect at Valeo?

Employees can expect a multi-cultural environment that values diversity and international collaboration with opportunities for career growth.

Does Valeo prioritize sustainability?

Yes, Valeo is highly committed to limiting the environmental impact of its activities and ranks as the number one company in the automotive sector in terms of sustainable development according to Corporate Knights.

How many engineers are working in Research & Development at Valeo?

There are more than 20,000 engineers working in Research & Development at Valeo.

What opportunities for career growth does Valeo offer?

Valeo offers a lot of opportunities for career growth with more than 100,000 colleagues in 31 countries.

Can I find more information about Valeo?

Yes, more information about Valeo can be found on their official website at https://www.valeo.com.

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Valeo

Smart technology for smarter mobility.

Manufacturing & Electronics
Industry
5001-10,000
Employees
1923
Founded Year

Mission & Purpose

As a technology company and partner to all automakers and new mobility players, Valeo innovates to make mobility cleaner, safer and smarter. Valeo is a technological and industrial leader in electrification, driving assistance systems, reinvention of the interior experience and lighting everywhere. These four areas, vital to the transformation of mobility, are the Group's growth drivers. Valeo in figures: 20 billion euros in sales in 2022; 109,900 employees at December 31, 2022; 29 countries, 183 plants, 21 research centers, 44 development centers, 18 distribution platforms. Valeo is listed on the Paris Stock Exchange. Valeo, entreprise technologique, partenaire de tous les constructeurs automobiles et des nouveaux acteurs de la mobilité, œuvre pour une mobilité plus propre, plus sûre et plus intelligente, grâce à ses innovations. Valeo dispose d’un leadership technologique et industriel dans l’électrification, les aides à la conduite, la réinvention de la vie à bord et l'éclairage à l’intérieur et à l’extérieur du véhicule. Ces quatre domaines, essentiels à la transformation de la mobilité, sont les vecteurs de croissance du Groupe. Valeo en chiffres : 20 milliards d’euros de CA en 2022 ; 109 900 collaborateurs au 31 décembre 2022 ; 29 pays, 183 sites de production, 21 centres de recherche, 44 centres de développement, 18 plateformes de distribution. Valeo est coté à la Bourse de Paris.

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