Job Description

Work Model: Hybrid Description Join 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 e.g. 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. Requirements Qualification & Experience 7-8 years of demonstrable experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions. Ideally, this would include work on the following technologies: Expert-level proficiency in Scala/PySpark knowledge is a strong advantage. Exp in at least one of Java, Scala or Python (preferred) Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop (YARN, MR, HDFS) and associated technologies - one or more of Hive, Sqoop, Avro, Flume, Oozie, Zookeeper, Impala, etc. Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib) is a strong advantage. Operating knowledge of cloud computing platforms (AWS/Azure/GCP) Experience working within a Linux computing environment, and use of command line tools including knowledge of Shell/Python scripting for automating common tasks Proficient in the use of data science tools Exposure to content engineering domain is preferred Excellent analytical/statistical skills. Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how Git works or any version control tools 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. In addition, the ideal candidate would have great problem-solving skills, and the ability & confidence to hack their way out of tight corners. Experience: Must Have (hands-on) experience: Scala or Python/PySpark expertise Distributed computing frameworks (Hadoop Ecosystem & Spark components) Cloud computing platforms (AWS/Azure/GCP) Linux environment, SQL and Shell scripting Preferences Data Scientist Job Responsibilities You would be responsible for evaluating, developing, maintaining and testing big data solutions for advanced analytics projects The role would involve big data pre-processing & reporting workflows including collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into business insights The role would also involve testing various machine learning models on Big Data, and deploying learned models for ongoing scoring and prediction. An appreciation of the mechanics of complex machine learning algorithms would be a strong advantage. We Offer Exciting 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!

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