Data Scientist
6 days ago
The ideal candidate is passionate about learning, data, scalability, and agility. You'll bring your strong collaboration skills and machine learning expertise to the table, diving into complex data sets to ask the right questions and uncover the most valuable insights. If you love turning data into actionable intelligence, this role is for youPrimary SkillsWe are looking for a Senior Data Scientist (ML Engineer) for one of our Data Science projects.About Role:Experience – 8 to 12 yearsLocation- Bangalore/Hyderabad/Pune/Gurgaon/ChennaiNotice- 15 days / 30 days.Key skills: ML Engineer + Pyspark + Azure/GCP (someone having exp or knows or is ready to learn and work on MLOps)Job Description: Senior Data Scientist (ML Engineer)- We are seeking a Machine Learning Engineer with a strong Data Science background to join our dynamic team. The ideal candidate is a tech-savvy, hands-on professional with experience in GCP (preferred) or Azure, capable of working on advanced Spark pipelines and optimizing ML workflows and interested to work on MLOps or having a prior experience with MLOps.Key Responsibilities- Design and optimize ML models and data pipelines.- Translate business problems into data science solutions.- Validate OKRs against statistical measures and drive technical decisions.- Leverage advanced analytical tools for insight generation and storytelling.- Collaborate across teams to solve complex business challenges.Primary Skills:- Strong communication and articulation (vocal & written).- Technical decision-making and problem-solving.- Data wrangling, design thinking, and business acumen.- Proficiency in Excel VBA and Data Storytelling.- High data literacy and curiosity.Secondary Skills- Familiarity with Azure and GCP App Engine.Specialization- Data Science Foundation: AI/ML EngineerJob requirements- Looking for ML Engineer with Data Science background.- Tech savvy, hands-on person with experience working on GCP (preferred) and/or Azure- Should have experience with Spark, tuning pipeline, and ML aspectsWhy should you apply for this role?As Brillio continues to gain momentum as a trusted partner for our clients in their digital transformation journey, we strive to set new benchmarks for speed and value creation. The DI team at Brillio is at the forefront of leading this charge by reimagining and executing how we structure, sell and deliver our services to better serve our clients.DAE: what it's like to work and grow at Brillio: Employment Opportunity DeclarationBrillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.Know what it's like to work and grow at Brillio:
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