Data Science machine learning

Job Title: Data Scientist Machine Learning  

Location: Indore  

Job Type: Full-time  

Job Description: As a Data Scientist with a focus on Machine Learning, you will be responsible for designing, developing, and deploying machine learning models to address key business challenges. You will work closely with cross-functional teams to translate business problems into data science solutions, advancing our core products and enhancing data-driven decision-making across the organization. 

Key Responsibilities:

• Design and develop advanced machine learning models for a variety of business applications, including predictive analytics, recommendation systems.  
• Collaborate with product managers, business leaders, and software engineers to translate business requirements into actionable data science projects.  
• Drive the adoption of best practices in machine learning, ensuring that models are robust, scalable, interpretable, and aligned with business goals.  
• Conduct exploratory data analysis (EDA), model validation, and performance evaluation to ensure high-quality, reliable models.  
• Stay up to date with the latest trends, tools, and techniques in the field of machine learning and AI, and share knowledge with the broader team.  
• Advocate for data-driven decision-making within the organization and communicate complex technical findings to non-technical stakeholders.  
• Lead and contribute to the research and development of innovative machine learning algorithms and techniques to solve unique business problems.  
• Build and maintain effective pipelines for model training, testing, and deployment.  
• Take ownership of the entire machine learning lifecycle, from ideation to deployment and optimization.  

Qualifications:

• Bachelors or Higher in Computer Science, Statistics, Mathematics, or a related field from top tier college.  
• 0-4 years of experience in data science or machine learning roles  
• Expertise in machine learning algorithms, statistical methods, and data analysis techniques (e.g., regression, classification, clustering, time series, deep learning, etc.).  
• Proficiency in programming languages such as Python with strong experience using machine learning frameworks like TensorFlow, PyTorch, Scikit-learn, or similar.  
• Strong experience with data processing and manipulation using tools like Pandas, NumPy, and SQL.  
• Solid understanding of cloud platforms (AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes) for model deployment and scaling.  
• Experience in deploying machine learning models into production environments and monitoring model performance.  
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.  
• A strong problem-solving mindset, with an ability to tackle challenging, unstructured problems and create innovative solutions.  
• Experience in agile methodologies and working in cross-functional teams.  

Preferred Qualifications:

• Experience with computer vision, and natural language processing.  
• Knowledge of advanced model interpretability tools and techniques.  
• Familiarity with software engineering best practices such as version control (Git), testing, and CI/CD pipelines.  
• Experience in the deployment and monitoring of machine learning models at scale.  
• Experience and Familiarity with machine learning operations (MLOps)  

Benefits:

• Competitive salary  
• Generous paid time off and holidays  
• Professional development opportunities and continuous learning support  
• Collaborative, inclusive company culture