Senior Data Scientist / ML Engineer
Starcom ConsultantAbout the role
Job Description: Senior Data Scientist / ML Engineer
Location: Diamond Bar, CA (Onsite)
Work Mode: Onsite (Full-Time Contract)
Experience Range: 4 - 6 Years
Payroll: Celebal Technologies (Contract Track)
Position Overview
We are seeking a highly skilled Senior Data Scientist / ML Engineer to design, build, and deploy scalable AI and machine learning solutions within the Azure cloud environment. The ideal candidate will leverage deep technical expertise in the Azure Databricks ecosystem to deliver both traditional ML pipelines and cutting-edge AI applications—including Computer Vision and Generative AI—driving business impact through data-driven innovation.
Core Technical Skills
Azure Databricks Stack: Hands-on experience with Databricks Workspace, PySpark, MLflow, Delta Lake, and integration with Azure cloud data services (e.g., Azure Data Lake, Synapse Analytics).
Core Languages & Tools: Strong proficiency in Python (including libraries like Pandas, Scikit-learn, NumPy), SQL, statistical modeling, and data visualization (e.g., Matplotlib, Seaborn, Power BI).
Machine Learning & MLOps: Proven experience in building, training, evaluating, and deploying ML models—along with end-to-end MLOps workflows using MLflow, CI/CD, and containerization (e.g., Docker, Kubernetes).
Computer Vision: Experience implementing vision-based AI solutions, such as object detection, image classification, or segmentation using frameworks like YOLO, OpenCV, or PyTorch/TensorFlow.
Generative AI (Preferred): Familiarity with LLMs, RAG architectures, prompt engineering, and Azure OpenAI Service is a strong plus.
Key Responsibilities
Design, develop, and deploy scalable end-to-end ML pipelines (data ingestion → preprocessing → modeling → deployment → monitoring) using Azure Databricks and MLflow.
Conduct advanced data engineering tasks—including data cleaning, transformation, and feature engineering—using PySpark and SQL on large-scale datasets.
Collaborate with cross-functional teams (Product, Engineering, Business Stakeholders) to translate business requirements into robust AI/ML solutions.
Stay current with emerging trends and tools in AI/ML, especially in Generative AI and MLOps, and recommend best practices for adoption.
Ensure model performance, reliability, and compliance with organizational governance and security standards.
Benefits & Perks
[Add information regarding benefits and perks here]
Skills: machine learning,azure,pyspark,ml
Responsibilities
- Design, develop, and deploy scalable end-to-end ML pipelines using Azure Databricks and MLflow
- Conduct advanced data engineering tasks using PySpark and SQL on large-scale datasets
- Collaborate with cross-functional teams to translate business requirements into robust AI/ML solutions
- Stay current with emerging trends and tools in AI/ML and recommend best practices
- Ensure model performance, reliability, and compliance with organizational governance and security standards
Qualifications
- Hands-on experience with Azure Databricks Stack
- Strong proficiency in Python, SQL, and data visualization tools
- Proven experience in building, training, evaluating, and deploying ML models
- Experience implementing vision-based AI solutions
- Familiarity with Generative AI and Azure OpenAI Service is a plus
Skills mentioned
About Starcom Consultant
Starcom Consultants, as a worldwide growing company, faces a unique set of challenges and opportunities in staffing. With a global footprint, the company operates in diverse markets, each with its own cultural, regulatory, and talent landscape. Navigating these complexities requires a strategic approach to recruitment and talent management. At Starcom Consultants, the key lies in building a robust global HR infrastructure capable of effectively sourcing, assessing, and onboarding talent across borders. This involves establishing strong partnerships with local agencies and recruiters who possess deep insights into regional markets. By leveraging technology and data-driven approaches, the company can streamline its recruitment processes and identify top talent efficiently. Furthermore, fostering a culture of diversity and inclusion is fundamental to Starcom Consultants' success. Embracing diverse perspectives and backgrounds not only enhances innovation but also strengthens the company's ability to connect with clients and stakeholders on a global scale. In addition to recruitment, investing in talent development and retention strategies is crucial. Providing ongoing training, mentorship programs, and opportunities for career advancement ensures that employees feel valued and motivated to contribute to the company's growth. In essence, Starcom Consultants excels in staffing a worldwide growing company by combining strategic recruitment practices, a commitment to diversity and inclusion, and a focus on talent development. Through these efforts, the company continues to thrive in an ever-evolving global marketplace.