Senior Specialist, Data Science
- Brainlabs
- 4 - 6 years
- Kolkata
- 2 months ago
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Job Description
Were looking for a Senior Machine Learning Engineer to join our growing Data Science team. This role is perfect for someone with 4-6 years of experience who thrives in building end-to-end machine learning solutions from data acquisition and model development to deployment and monitoring in production. You ll work on large-scale, complex datasets and partner closely with engineering, DevOps, and product teams to create impactful, scalable solutions.
Data Acquisition & Preprocessing - Design and manage scalable web scraping pipelines to acquire data from diverse sources.
- Develop advanced data cleaning, transformation, and feature engineering processes.
- Implement data quality checks and monitoring systems to ensure reliability throughout the pipeline.
- Build, evaluate, and optimize machine learning models (e.g., regression, classification, clustering, deep learning) tailored to real-world business challenges.
- Apply statistical rigor in model selection, validation , and interpretability .
- Ensure models are robust, scalable , and production-ready .
- Stay up to date with the latest research and best practices in ML, AI, and statistics.
- Take full ownership of model deployment into production environments.
- Design and maintain monitoring systems to detect data drift, model degradation, and system anomalies.
- Collaborate with infrastructure and DevOps teams to implement CI/CD pipelines and ensure high availability and performance .
- Proactively troubleshoot and resolve production issues.
- Work with product managers, engineers, and stakeholders to align ML initiatives with business goals.
- Communicate complex concepts and results to technical and non-technical audiences .
- Document models, pipelines, deployment processes, and performance dashboards.
- Mentor junior data scientists and contribute to a culture of knowledge sharing and innovation.
- Bachelor s or Master s in Computer Science, Data Science, Statistics , or a related quantitative field.
- 4-6 years of experience in building and deploying ML models in production.
- Strong foundation in machine learning theory , statistics , and data-driven decision-making .
- Expert-level skills in Python and key libraries: pandas , NumPy , scikit-learn , TensorFlow or PyTorch .
- Hands-on experience with web scraping tools and large-scale data ingestion.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and ML-focused services.
- Working knowledge of Docker , Kubernetes , and containerized deployments is a big plus.
- Exceptional problem-solving , communication , and team collaboration skills.
- Work on high-impact projects with real-world applications.
- Collaborate with a smart, driven, and friendly team .
- Contribute to shaping the ML infrastructure and roadmap of a growing organization.
- Competitive compensation, benefits, and flexible work options.
Job Classification
Industry: Electronic Components / SemiconductorsFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: BrainlabsLocation(s): Kolkata+ View Contact
Keyskills: Computer science data science GCP Machine learning Infrastructure Deployment Data quality Statistics Monitoring Python
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