Ampera Technologies Hiring: Machine Learning Engineer

We are looking for a ML engineer, PFB the details:

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About Ampera:

Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards

Responsibilities

1. Machine Learning Development & Deployment

• Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification.
• Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.
• Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.

2. Cross-Functional ML Use Cases

• Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.
• Develop domain-specific models and continuously improve them using feedback loops and real-world performance data.

3. Model Governance and MLOps

• Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.
• Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).

4. Data Engineering and Feature Architecture

• Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.
• Perform feature selection, transformation, and engineering aligned with each domain’s business logic.

5. Communication & Stakeholder Collaboration

• Present technical insights and model results to business and executive stakeholders in a clear, actionable format.
• Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Qualifications:

Required

• Bachelor’s or Master’s degree in (e.g., Computer Science, Engineering, Statistics, Mathematics)
• 4+ years of experience in machine learning, data science, or AI engineering, with a strong software engineering foundation.
• Proficiency in Python, and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.
• Experience deploying models into production using ML pipelines and orchestration frameworks.
• Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).

Preferred:

• Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.
• Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).
• Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).
• Background in statistics, forecasting, optimization, or recommendation systems.

Accessibility & Inclusion Statement

• We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.

Equal Opportunity Employer (EOE) Statement

• Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Application Instructions

To apply, please send your resume to

Thanks,

Talent Acquisition Team

Ampera Technologies Pvt Ltd.,