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Machine Learning Developer

3 months ago

Bengaluru, India Infosys Full time
Location: Bangalore, IndiaExperience Level: Mid-Level (5-6 years)Job Type: Full-timeJob Overview:The Waters Corp. Machine Learning Engineer will be accountable and holistically leads the designs and builds of advanced ML models aiding in strategic business initiatives. Collaborates with cross-functional teams to understand business requirements then develop, train and optimizes machine learning models for diverse applications. The candidate needs the ability to conduct rigorous evaluation and validation of their models with expertise in deploying and integrating them with existing systems. Will assist in establishing monitoring systems for ongoing model performance and maintenance. Must also document development and deployment processes for knowledge sharing. The candidate should be passionate about staying up-to-date with the latest advancements in the field and applying that knowledge to real-world challenges.

Responsibilities:

As part of this role, you’ll need to comprehend various ML algorithms, their strengths, weaknesses, and how they impact deployment.

Algorithm Development:

Design, develop, and implement machine learning algorithms to address specific business challenges.

Collaborate with cross-functional teams to understand requirements and deliver solutions that meet business objectives.

Data Analysis and Modeling:

Perform exploratory data analysis to gain insights and identify patterns in large datasets.

Build, validate, and deploy machine learning models for predictive and prescriptive analytics.

Feature Engineering:

Extract and engineer relevant features from diverse datasets to enhance model performance.

Optimize and fine-tune models for improved accuracy and efficiency.

Model Evaluation and Deployment:

Conduct thorough evaluation of machine learning models using appropriate metrics.

Deploy models into production environments, ensuring scalability, reliability, and performance.

Communicate complex technical concepts to non-technical stakeholders effectively.

Qualifications:Must have:

Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.5-6 years of hands-on experience in developing and deploying machine learning models.Proficiency in programming languages such as Python, R, or Java.Experience with data preprocessing, feature engineering, and model evaluation techniques.Understanding how to set up scalable and reliable environments for ML models is crucial.Mastery of CI/CD and Automation Tools: Continuous Integration/Continuous DeploymentKnowledge of tools like Azure ML DevOps, Jenkins, GitLab CI/CD, and Kubernetes to automate workflows and ensure smooth deployments.

Knowledge of Monitoring and Logging Systems:

Azure Monitor, Prometheus, Grafana, and ELK stack for monitoring and logging.Strong Communication and Collaboration Abilities: As a team lead, the candidate will work closely with data scientists, engineers, and stakeholders.

Good to have:Understanding of forecasting & revenue ERP environments (e.g.: Salesforce & SAP ECC)Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).Deep Understanding of Machine Learning ModelsProficiency in Cloud and On-Premises InfrastructureExcellent communication skills for aligning goals, resolving conflicts, and driving successful ML projects.Continuous Learning: Stay abreast of the latest developments in machine learning, data science, and related fields.