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.
