Data Scientist

8 years

0 Lacs

Posted:12 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

About The Company

Enterprise Minds, Inc is a leading technology solutions provider dedicated to delivering innovative and scalable AI and machine learning solutions to clients across various industries. With a strong emphasis on cutting-edge research and practical application, the company strives to bridge the gap between theoretical models and real-world deployment. Our mission is to empower organizations with intelligent systems that enhance efficiency, drive growth, and foster digital transformation. Enterprise Minds, Inc prides itself on fostering a collaborative and inclusive work environment, attracting top talent from around the globe to work on impactful projects that shape the future of technology.

About The Role

We are seeking a highly experienced Data Scientist / Data Science Engineer with over 8 years of expertise to join our dynamic team remotely. The ideal candidate will be responsible for designing, developing, deploying, and maintaining advanced machine learning models and scalable production systems. This role plays a crucial part in operationalizing AI solutions by implementing MLOps best practices, ensuring system reliability, and optimizing performance at scale. The successful candidate will collaborate closely with cross-functional teams including Data Scientists, Data Engineers, DevOps, and Product Managers to deliver enterprise-grade AI/ML solutions that meet business objectives and technical standards.

Qualifications

The ideal candidate will possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. They should demonstrate strong technical expertise in Python programming, with hands-on experience in popular ML frameworks such as scikit-learn, TensorFlow, and PyTorch. A solid understanding of cloud platforms like AWS, Azure, or GCP is essential, along with proficiency in MLOps tools including MLflow, Kubeflow, and Airflow. Experience with containerization technologies such as Docker and Kubernetes is required for deploying models at scale. Familiarity with data engineering tools like Spark, Kafka, and SQL/NoSQL databases, as well as data visualization tools like Tableau, Power BI, matplotlib, and seaborn, will be advantageous. Soft skills such as strong analytical abilities, excellent communication, stakeholder management, adaptability, and a collaborative mindset are critical for success in this role. Candidates should also have familiarity with Agile methodologies to ensure efficient project delivery.

Responsibilities

  • Develop, optimize, and deploy machine learning models into secure, scalable production environments, transitioning research prototypes into reliable systems.
  • Build and maintain data pipelines for model training, evaluation, and inference, ensuring high data quality and availability across the ML lifecycle.
  • Implement MLOps frameworks for model versioning, monitoring, retraining, and continuous integration/continuous deployment (CI/CD) pipelines using tools such as MLflow, Kubeflow, and Airflow.
  • Deploy machine learning solutions on cloud platforms like AWS, Azure, or GCP, managing containerized workloads with Docker and Kubernetes for optimal scalability and performance.
  • Monitor production systems for data drift, performance degradation, and anomalies, proactively addressing issues to maintain system reliability and efficiency.
  • Optimize latency, throughput, and cost of ML services, ensuring high availability and responsiveness of deployed models.
  • Collaborate within Agile teams, participate in sprint planning, code reviews, and maintain comprehensive documentation for all development activities.
  • Partner with business stakeholders and technical teams to align AI/ML solutions with strategic objectives, translating requirements into technical specifications.

Benefits

At Enterprise Minds, Inc, we offer competitive compensation packages along with comprehensive benefits including health insurance, paid time off, and flexible work arrangements. Our employees have access to ongoing learning and development opportunities to stay abreast of the latest advancements in AI and data science. We promote a healthy work-life balance and foster a collaborative environment that encourages innovation and professional growth. Additionally, our remote work policy provides flexibility, enabling team members to work from anywhere while contributing to impactful projects that make a difference in the industry.Equal OpportunityEnterprise Minds, Inc is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, gender, sexual orientation, national origin, age, disability, or any other protected characteristic. We believe that diverse perspectives and experiences drive innovation and excellence, and we are dedicated to providing equal employment opportunities to all qualified candidates.

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