Description
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Requirements
• Min 3 years’ experience cumulative across Data science or AI-ML or Generative AI or Agentic AI development.
• Master’s or bachelor’s degree or Post Graduate courses/Program or Advance courses or Certification in Data Science or AI or relevant field.
• Direct working exposure and can Independently do all steps of end to end process of Classical ML and Deep Neural Networks (Data Collection, Data Exploration, Data Preparation, Modeling, Model Evaluation, Actionable insights, Model Deployment)
• Prior hands-on experience in developing complex AI/ML solutions as an AI/Data Scientist Engineer, in both proof of concept and production environments
• Holds strong ability to self-exploration, Habits of Continuous Learning & Adoption, take initiatives & Drive results rather follower, can come up with creative & Innovative solutions, Strong communication skills, capable of interacting/collaborating with both business decision-makers and other AI/ML experts/coders, Strategic thinker with excellent analytical and problem-solving skills.
• Strong knowledge of Machine Learning, Deep Learning, Generative AI/LLMs, Agentic AI and various use cases.
• Ability to apply Big data analytics methods such as predictive analytics, time series analysis, hypothesis testing, classification, clustering, and regression analysis etc..
• Strong background in statistics and probability, including experience with descriptive and inferential statistical analysis.
• Experience with or Knowledgeable in one or multiple databases like SQL server, Postgres, Click house, Presto
• Sound understanding of Cloud Platforms such as AWS, GCP, Azure, and ML platforms like Sage Maker.
• Command over or Practical Knowledge of or Experience in programming language such as Advanced Python, JavaScript’s/ React/Angular, Scala, Spark
• Familiarity with Visualization Tools like Tableau, PowerBI
• Experience in discovering use cases, scoping, and delivering complex solution architecture designs to diverse audiences, adapting technical depth as needed.
• Understanding of DataOps, MLOps, LLMOps, Observability, DevOps, and SRE concepts.
• Prior Telecom Data set Experience / Knowledge / Understanding (CM, PM, FM) is a plus
Job responsibilities
• Min 3 years’ experience cumulative across Data science or AI-ML or Generative AI or Agentic AI development.
• Master’s or bachelor’s degree or Post Graduate courses/Program or Advance courses or Certification in Data Science or AI or relevant field.
• Direct working exposure and can Independently do all steps of end to end process of Classical ML and Deep Neural Networks (Data Collection, Data Exploration, Data Preparation, Modeling, Model Evaluation, Actionable insights, Model Deployment)
• Prior hands-on experience in developing complex AI/ML solutions as an AI/Data Scientist Engineer, in both proof of concept and production environments
• Holds strong ability to self-exploration, Habits of Continuous Learning & Adoption, take initiatives & Drive results rather follower, can come up with creative & Innovative solutions, Strong communication skills, capable of interacting/collaborating with both business decision-makers and other AI/ML experts/coders, Strategic thinker with excellent analytical and problem-solving skills.
• Strong knowledge of Machine Learning, Deep Learning, Generative AI/LLMs, Agentic AI and various use cases.
• Ability to apply Big data analytics methods such as predictive analytics, time series analysis, hypothesis testing, classification, clustering, and regression analysis etc..
• Strong background in statistics and probability, including experience with descriptive and inferential statistical analysis.
• Experience with or Knowledgeable in one or multiple databases like SQL server, Postgres, Click house, Presto
• Sound understanding of Cloud Platforms such as AWS, GCP, Azure, and ML platforms like Sage Maker.
• Command over or Practical Knowledge of or Experience in programming language such as Advanced Python, JavaScript’s/ React/Angular, Scala, Spark
• Familiarity with Visualization Tools like Tableau, PowerBI
• Experience in discovering use cases, scoping, and delivering complex solution architecture designs to diverse audiences, adapting technical depth as needed.
• Understanding of DataOps, MLOps, LLMOps, Observability, DevOps, and SRE concepts.
• Prior Telecom Data set Experience / Knowledge / Understanding (CM, PM, FM)is a plus
What 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!
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
