ML Specialist
20 hours ago
Experience
5+ Years
Joining Date
Immediate or max 30 days' Notice Period
Qualification
Bachelor's or Master's in computer science, Information Technology, Engineering, or a related field.
Job DescriptionWe are seeking a ML Specialist with a strong background in Data Science, Machine Learning (ML) and Artificial Intelligence (AI) to help our clients solve their most pressing business challenges through data-driven innovation.
In this role, you will work at the intersection of data science, AI, and cloud engineering, leveraging the Azure ecosystem — including Azure Machine Learning, Azure Databricks, Azure Cognitive Services, and Azure OpenAI — to build and deploy scalable, production-ready AI and ML solutions.
You will play a pivotal role in designing predictive models, experimenting with generative AI, and developing intelligent systems that enhance decision-making, automate processes, and unlock business value.
Responsibilities- Identify, collect, and integrate valuable data sources across structured and unstructured environments.
- Design and implement machine learning and AI solutions using Azure Machine Learning, Databricks, and Azure AI Services.
- Develop, train, and deploy models for predictive analytics, natural language processing (NLP), computer vision, and generative AI use cases.
- Build and automate MLOps pipelines for continuous integration, delivery, and model monitoring within Azure.
- Perform feature engineering, data wrangling, and model evaluation at scale using Spark and Databricks/Snowflake.
- Leverage Azure Cognitive Services and Azure OpenAI to integrate pre-trained AI models into enterprise applications.
- Partner with cross-functional teams to translate complex analytical insights into business strategies and operational solutions.
- Present data-driven insights through impactful visualizations and storytelling using Power BI and Python visualization libraries.
- Ensure compliance with AI ethics, governance, and responsible-AI principles.
- 5+ years of experience in Data Science, AI, or Applied Machine Learning roles.
- Proven experience with Azure cloud technologies, including Azure Machine Learning, Azure Databricks, Azure Synapse Analytics, and Azure Cognitive Services.
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, PySpark).
- Solid understanding of supervised, unsupervised, and deep learning techniques (e.g., regression, classification, NLP, CNNs, RNNs, transformers).
- Practical experience in LLMs (Large Language Models) and Generative AI frameworks such as OpenAI or Azure OpenAI.
- Expertise in SQL and data querying across relational and cloud data sources.
- Familiarity with MLOps tools (MLflow, Azure DevOps, GitHub Actions) for model versioning, deployment, and governance.
- Experience with data visualization tools (Power BI, Plotly, Matplotlib) and storytelling for business impact.
- Strong analytical, problem-solving, and strategic thinking skills.
- Excellent communication skills with the ability to explain complex concepts to technical and non-technical audiences.
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field.
Comprehensive Health Plans
Learning and development
Workation and outdoor training
Hybrid working environment
On-site travel Opportunity
Beinex Branded Merchandise
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