Senior Python Developer (Machine Learning,Data Analysis,Visualization) @ Synechron

Required Skills:

• Proficiency in Python (version 3.6+) with experience in data analysis, manipulation, and scripting
• Knowledge of SQL for data extraction, transformation, and database querying
• Experience with data visualization tools such as PowerBI, Tableau, or QlikView
• Familiarity with AI and Machine Learning frameworks such as TensorFlow, Keras, PyTorch, or equivalent
• Hands-on experience in developing, deploying, and optimizing machine learning models

Preferred Skills:

• Experience with R for data analysis
• Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI solutions
• Knowledge of version control systems such as Git

• Analyze, interpret, and visualize large and complex datasets to extract actionable insights
• Design, develop, and implement machine learning and AI models for predictive and prescriptive analytics
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
• Communicate findings, insights, and recommendations via reports, dashboards, and presentations to stakeholders
• Evaluate and refine models and algorithms to maximize accuracy, efficiency, and impact
• Stay informed on emerging AI, Data Science, and analytics trends and incorporate best practices into projects
• Support automation efforts, optimize data pipelines, and enhance existing analytical workflows
• Contribute to organizational learning by sharing knowledge and mentoring team members

Strategic objectives:

• Drive innovation through the application of AI and machine learning
• Enable data-driven decision-making across business units
• Improve operational efficiencies and business outcomes

Performance outcomes:

• Accurate, robust, and scalable AI models
• High-quality insights delivered on time and aligned with business needs
• Well-documented solutions and knowledge-sharing artifacts

Programming Languages (Essential):

• Python (required); experience with R is a plus
• SQL (required); experience with data manipulation and querying

Data Analysis & Visualization Tools (Essential):

• PowerBI, Tableau, or QlikView

Frameworks & Libraries (Essential):

• TensorFlow, Keras, PyTorch, or similar frameworks for AI/ML development

Data Management & Databases (Essential):

• Relational databases (e.g., MySQL, PostgreSQL, Oracle)
• Data extraction and transformation (ETL processes)

Cloud & Deployment (Preferred):

• Experience deploying models on cloud platforms such as AWS, Azure, GCP

Development & Version Control (Preferred):

• Git for code versioning

Other Skills:

• Strong statistical knowledge and experience with data preprocessing, feature engineering
• Familiarity with agile development methodologies

• 3 to 5 years of relevant experience in AI, Data Science, or Data Analytics roles
• Proven track record applying machine learning techniques to real-world problems
• Experience working with large datasets and scalable data pipelines
• Experience collaborating with cross-functional teams to deliver analytics-driven solutions
• Industry experience in finance, healthcare, retail, or similar data-rich sectors is preferred

Alternative pathways:

• Candidates with extensive AI & ML project experience, strong programming skills, and relevant certifications can be considered with slightly varied years of experience

• Collect, clean, and explore large datasets to identify patterns and insights
• Develop and tune machine learning models to address business problems
• Collaborate with business analysts, data engineers, and product owners to align technical solutions with organizational goals
• Document methodologies, code, and analytical findings to ensure reproducibility and knowledge sharing
• Create dashboards, visualizations, and reports to communicate insights effectively
• Evaluate model performance regularly and optimize models for accuracy and efficiency
• Participate in team meetings, project planning, and review sessions
• Keep abreast of advancements in AI/ML technologies, tools, and best practices

• Bachelors degree in Computer Science, Data Science, Statistics, or related field
• Masters degree or higher in AI, Data Science, or related disciplines is a plus
• Professional certifications in AI/ML (e.g., TensorFlow Developer, AWS Machine Learning Specialty) are advantageous
• Willing to learn new tools and stay updated with emerging AI trends
• Ability to work independently and collaborate effectively in a dynamic environment

• Analytical and problem-solving mindset with a focus on actionable insights
• Excellent verbal and written communication skills for diverse audiences
• Strong interpersonal skills and stakeholder management
• Adaptability to fast-changing technology landscapes
• Growth mindset with continuous learning enthusiasm
• Organizational skills to handle multiple projects and priorities simultaneously
• Innovation-driven approach and proactive problem resolution