Brillio is hiring for a fresher entry level Data Scientist role in India

Position:

• Role: Data Scientist

• Primary Skills Required:

  • Statistical Techniques: Hypothesis Testing, T-Test, Z-Test, Regression (Linear and Logistic)

  • Programming and Tools: Python/PySpark, SAS/SPSS

  • Statistical Analysis and Computing

  • Probabilistic Graph Models

  • Frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet

  • AI/ML Frameworks and Tools: Kubeflow, BentoML

  • Forecasting Methods: Exponential Smoothing, ARIMA, ARIMAX

  • Model Evaluation: Great Expectation, Evidently AI

  • Classification Algorithms: Decision Trees, SVM

  • Distance Metrics: Hamming Distance, Euclidean Distance, Manhattan Distance

  • Statistical Programming: R/R Studio

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Company:

• Company Name: Brillio

• Industry: Data and AI – Data Science

• Employment Platform: Lever

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Location:

• City: Bangalore

• State: Karnataka

• Country: India

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Job Type:

• Employment Type: Full-Time

• Specialization: AI/ML Engineer – Data Science Advanced

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Job Mode:

• Mode: Hybrid

• Work Arrangement: Combination of On-site and Remote Work

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Job Requisition ID:

• Requisition ID: R01545056

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Years of Experience:

• Experience Required: Not specified in the original description; looks like a fresher entry level role as per JD; 0-3 years

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Company Description:

• About Brillio:

  • Brillio is a global leader in digital transformation and technology consulting services, specializing in helping organizations leverage the power of data, artificial intelligence, and advanced analytics to drive business growth.

  • Established as a customer-centric company, Brillio partners with Fortune 500 companies across industries, providing them with innovative solutions to stay ahead in a rapidly changing digital landscape.

  • With a strong emphasis on utilizing cutting-edge technologies, Brillio focuses on areas such as AI/ML, data science, IoT, cloud computing, and automation to enhance operational efficiency and customer satisfaction.

  • The company fosters a culture of continuous learning, innovation, and collaboration, empowering its workforce to deliver impactful solutions that address complex business challenges.

  • Headquartered in Bangalore, Brillio has a diverse talent pool of data scientists, engineers, and AI/ML experts who work collaboratively to build state-of-the-art solutions that meet client needs.

  • Brillio remains committed to delivering exceptional results, maintaining a high standard of service excellence, and ensuring long-term business success for its clients.

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Profile Overview:

• Role Summary:

  • The Data Scientist at Brillio will play a critical role in building, deploying, and maintaining machine learning models that address complex business problems.

  • The role requires expertise in statistical analysis, model development, and MLOps, ensuring that models are effectively deployed and optimized for real-world applications.

  • The Data Scientist will collaborate closely with software engineers, data scientists, and product managers to understand business requirements and deliver solutions aligned with stakeholder needs.

  • Responsibilities include model development, deployment, monitoring, and performance optimization, ensuring that machine learning models remain accurate, efficient, and scalable.

  • The candidate should have a solid understanding of various machine learning frameworks and tools, as well as a keen interest in staying updated with the latest advancements in AI/ML research.

  • This role also involves identifying and addressing data drift issues using automated frameworks and maintaining the reliability of deployed models through consistent monitoring and retraining.

  • As a key contributor to the Data and AI team, the Data Scientist will leverage industry best practices to enhance the capabilities and performance of AI models and systems.

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Qualifications:

• Technical Expertise:

  • Strong understanding of statistical concepts, including hypothesis testing, regression analysis, and classification techniques.

  • Proficiency in programming languages such as Python, R, and PySpark, along with expertise in statistical tools like SAS and SPSS.

  • Experience with machine learning frameworks, including TensorFlow, PyTorch, Keras, and Sci-Kit Learn, among others.

  • Knowledge of model deployment tools such as Kubeflow and BentoML.

• Model Development and MLOps:

  • Ability to develop and deploy machine learning models into production environments.

  • Experience in building and maintaining ML pipelines and workflows to support model experimentation, deployment, and retraining.

  • Familiarity with automatic drift detection frameworks to track model accuracy and trigger retraining as needed.

• Analytical and Problem-Solving Skills:

  • Strong problem-solving abilities and analytical skills to address complex business challenges.

  • Understanding of data drift frameworks to ensure model reliability and accuracy over time.

• Collaboration and Communication:

  • Excellent communication and collaboration skills to work effectively with cross-functional teams, including data engineers, product managers, and software engineers.

  • Ability to translate business requirements into technical solutions and communicate complex concepts to non-technical stakeholders.

• Research and Continuous Learning:

  • Passion for staying up-to-date with the latest trends, technologies, and methodologies in artificial intelligence and machine learning.

  • Enthusiastic about exploring innovative approaches to improve model performance and scalability.

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Additional Info:

• Model Development and Optimization:

  • Develop and fine-tune machine learning models, ensuring they meet business objectives and stakeholder expectations.

  • Utilize techniques such as supervised and unsupervised learning, deep learning, and classification algorithms to develop high-performing models.

• Model Deployment and Integration:

  • Deploy models into production environments and seamlessly integrate them with existing systems and workflows.

  • Ensure models are optimized for scalability, latency, and throughput to deliver high-performance solutions.

• Monitoring and Maintenance:

  • Implement automated frameworks to monitor model performance and detect data drift.

  • Trigger retraining of models as necessary to maintain high levels of accuracy and reliability.

• Collaboration and Teamwork:

  • Collaborate with cross-functional teams to gather business requirements and develop models aligned with organizational goals.

  • Engage with stakeholders to ensure that AI/ML solutions align with overall business objectives.

• Innovation and Research:

  • Continuously explore and implement emerging technologies, frameworks, and methodologies to enhance AI capabilities.

  • Contribute to ongoing research initiatives to improve the accuracy, scalability, and robustness of machine learning models.

• Performance Optimization:

  • Analyze model performance in real-world settings and implement improvements to enhance efficiency and scalability.

  • Leverage advanced statistical and machine learning techniques to optimize model parameters and improve prediction accuracy.

• Commitment to Excellence:

  • Maintain high standards of quality and innovation in delivering AI/ML solutions.

  • Uphold Brillio's core values of integrity, customer focus, and continuous improvement in all aspects of the role.

Please click here to apply.

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