Data Science Engineer

2 weeks ago

solapur, India beBeeMachine Full time

Job DescriptionAt our organization, we're on a mission to unlock the full potential of data-driven insights. We believe that by harnessing the power of machine learning and data analytics, we can drive meaningful impact and deliver exceptional results.We're seeking an experienced Senior Applied Scientist to join our team. As a key member of our engineering organization, you will be responsible for designing, developing, and deploying machine learning systems that meet the highest standards of quality, reliability, and performance.As a Senior Applied Scientist, you will have the opportunity to work on a wide range of exciting projects, from building predictive models to designing scalable data pipelines. You will collaborate closely with cross-functional teams, including product management, engineering, and data science, to ensure that our solutions meet the needs of our customers and stakeholders.Our ideal candidate will have a strong background in machine learning and data science, with a proven track record of delivering high-quality results in a fast-paced environment. They will be proficient in programming languages such as Python, SQL, and cloud platforms like GCP or AWS. Additionally, they will have experience with MLOps tools like MLflow, Feast, and Docker/K8s.Required Skills and Qualifications7-10+ years of experience shipping DS/ML systems to production (not just notebooks)Fluency in Python, SQL, and one major cloud (GCP/AWS), with BigQuery/Snowflake experienceKnowledge of MLOps (MLflow/Weights & Biases, Feast/feature store, Docker/K8s, CI/CD) and orchestration (Airflow/Prefect)BenefitsAs a member of our team, you will enjoy a range of benefits, including:Founding-team impact: Be part of a team that's shaping the future of our organizationMeaningful equity: Share in our success and build long-term wealthThe chance to build the ML backbone of a category-defining product: Make a lasting impact on the industryOthersIf you're passionate about data science and machine learning, and you're looking for a challenging and rewarding role, please consider applying. We look forward to hearing from you

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