Data Scientist

About the Role

Constelli is seeking a motivated and detail-oriented Data Scientist / Machine Learning Engineer to design, develop, and deploy data-driven solutions. The role involves building scalable machine learning models, developing analytics pipelines, and delivering insights that support business and operational decision-making.

Key Responsibilities

• Develop, train, and optimize machine learning models for predictive analytics and classification.
• Perform data collection, cleaning, preprocessing, and feature engineering.
• Design end-to-end ML pipelines including model evaluation, tuning, and deployment.
• Build and deploy REST APIs for model serving and integration.
• Apply explainable AI techniques (SHAP, LIME) to improve model transparency.
• Conduct exploratory data analysis and generate actionable insights.
• Develop dashboards using Power BI, Tableau, or Python visualization libraries.
• Work with cloud platforms such as AWS or Databricks.
• Collaborate with cross-functional teams to understand business requirements.
• Maintain documentation, version control, and follow MLOps best practices.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, or related field.
• Proficiency in Python, SQL, Pandas, PyTorch or Tensorflow.
• Strong understanding of supervised and unsupervised machine learning techniques.
• Experience with model evaluation, hyperparameter tuning, and performance metrics.
• Familiarity with AWS, Databricks, and cloud-based data environments.
• Understanding of API development and deployment concepts.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with time-series forecasting, transformer-based models and Diffusion based Models.
• Understanding of Parametric Efficient Fine Tuning (LoRA, QLoRA) of LLMs.
• Understanding of RAG, Agentic Framework, and MCP.
• Understanding of MLOps practices and model monitoring.
• Relevant certifications such as IBM Data Science or AWS Cloud Practitioner.

Key Competencies

• Data-driven decision making
• Attention to detail and documentation
• Cross-functional collaboration
• Business problem understanding
• Continuous learning mindset

Employee status and commitments

• Permanent full-time position located at our Bangalore office, with regular on-site visits to clients and vendor locations.

Why join US

• Culture of Excellence: We are committed to fostering a culture where every individual can thrive, grow, and make a difference.
• Opportunities for Growth: We believe in investing in our people and providing opportunities for professional development and advancement.
• Collaborative Culture: Join a collaborative and supportive work environment where your contributions are valued and recognized.
• Innovative Environment: Be part of a team that thrives on innovation and is committed to pushing the boundaries of RF technology.