Data Scientist Irc181747 Job In Globallogic A Hitachi Group Company In India, Bengaluru / Bangalore

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Job Details
Work Model: Hybrid DescriptionJoin GlobalLogic, to be a valid part of the team working on a huge software project for the world-class company providing M2M / IoT 4G/5G modules eg to the automotive, healthcare and logistics industries Through our engagement, we contribute to our customer in developing the end-user modules' firmware, implementing new features, maintaining compatibility with the newest telecommunication and industry standards, as well as performing analysis and estimations of the customer requirements RequirementsSkills Qualifications .

8+ years of experience in data scientist role Masters or higher degree is preferred Proficient in the use of data science tools Exposure to content engineering domain is preferred .

Excellent analytical/statistical skills Proactive and willing to learn new technologies Good verbal written communication skills PreferencesPython, PostgreSQL, Data Science, Content Engineering Job ResponsibilitiesYour key responsibility is the development of AI based solutions for different use cases .

Should have vast knowledge on pre-trained transformers to implement NLU tasks (OpenAI, Hugging Face) Design and develop self-sufficient NLP applications and NLU models Maintain existent training models up to date based on user input and strategic conversation intents Use effective text representations to transform natural language into useful features .

Find and implement the right algorithms and tools for NLP tasks Utilize the latest techniques in AI, ML (including Deep Learning approaches), and NLU Built custom deep learning models from diagnostics data using Python and SciPy Should be an expert in any of the AI or related domains.

Experience in development of ML applications is necessary Skills Qualifications 8+ years of experience in data scientist role Masters or higher degree is preferred.

Proficient in the use of data science tools Exposure to content engineering domain is preferred Excellent analytical/statistical skills .

Proactive and willing to learn new technologies Good verbal written communication skills We OfferExciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom Our customer list is full of fantastic global brands and leaders who love what we build for them Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!
Candidate Profile
Globallogic A Hitachi Group Company is looking for .

Globallogic A Hitachi Group Company is looking for Any Graduate / Post Graduate profile candidates.

Short Job Information


Job Title : Data Scientist Irc181747
Job Location : India, Bengaluru / Bangalore
Education : Any Graduate / Post Graduate
Category : Computers / IT
Experience : 5 ( years )
Post Date : 08 April, 2023
Last Date : 07 June, 2023
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