Appian Developer

Job Description:

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.

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.

• Proficiency in Python, 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).

• Hands-on experience in implementing machine learning algorithms such as Random Forest, XGBoost, Logistic Regression, and Deep Learning techniques including Neural Networks (ANN, CNN)

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.

Mechanical Engineer – Job Description

A Mechanical Engineer is responsible for designing, developing, testing, and maintaining mechanical systems, machines, and components. The role includes creating technical drawings and 3D models using CAD software, performing calculations and simulations, and selecting appropriate materials and manufacturing processes.

Mechanical Engineers collaborate with production, quality, and maintenance teams to ensure designs are functional, safe, and cost-effective. They oversee prototype development, troubleshoot mechanical issues, and support installation and commissioning activities. Compliance with engineering standards, safety regulations, and continuous improvement initiatives are key responsibilities.

Key Skills: CAD software (AutoCAD, SolidWorks, CATIA), problem-solving, analytical skills, technical documentation.

Qualifications: Bachelor’s degree or Diploma in Mechanical Engineering.

Electrical Engineer – Job Description

An Electrical Engineer is responsible for designing, developing, installing, and maintaining electrical systems and equipment. The role involves preparing electrical schematics, wiring diagrams, control panel layouts, and ensuring systems comply with safety and regulatory standards.

Electrical Engineers work with automation, instrumentation, and maintenance teams to troubleshoot electrical faults, improve system efficiency, and support commissioning activities. They also handle load calculations, cable sizing, equipment selection, and preventive maintenance planning.

Key Skills: Electrical schematics, PLC basics, troubleshooting, safety compliance.

Qualifications: Bachelor’s degree or Diploma in Electrical Engineering.

Responsibilities:

• Content Writing: Draft insightful and compelling newsletters.
• Content Review: Ensure newsletters are grammatically correct, coherent, and adhere to our brand guidelines.
• Collaboration: Work with SEO and other content creators to produce articles that drive traffic.

Qualifications:

• Writing & Editing: Proven capability in writing and meticulously editing content.
• Detail-Oriented: Exceptional attention to detail, ensuring content is free from errors.
• Time Management: Ability to manage multiple tasks and meet strict deadlines.
• AI-first approach: should be familiar with tools like ChatGPT, Claude, Perplexity.ai for writing, research, data analysis, summaries, grammar checking etc.
• This is very important - if you can somehow showcase how you used AI in your test task (below), that will put you way ahead of other applicants.

• Understanding position requirements and the hiring function’s deliverables in depth.
• Sourcing, screening, and developing a candidate pipeline.
• Ensuring a healthy pipeline till closure, report sourcing risks upfront.
• Managing candidate expectations and negotiating compensation packages for new hires.
• Developing external contacts to stay abreast of new hiring practices and trends in the industry.
• Providing recruitment reports and metrics.
• Exposure to both tech and non tech positions across levels and experience in hiring high budget resources.
• Utilize the existing recruiting database and tools to maximize the output.
• Work with agencies to explain the hiring needs and give regular update about the candidates received on ATS.
• Work on recruiting projects to improve recruiting process efficiency.
• Maintain market intelligence on the hiring landscape and utilize this information for hiring the best talent in the firm.

Talent Management

• Provide support in the following areas: performance management, data analysis, employee relations, learning and development, and strategic development.
• Utilize data strategically: Identify trends in both qualitative and quantitative data to help improve organizational health, understand when data will assist in making informed decisions.
• Partner with team members to roll out programs to support employees on talent programs.

Requirements (Must Have):

• Comfortable working in fast-paced, high growth, dynamic business environment.
• Effective influencing and communication skills, with the ability to build relationships with employees, leaders, and a variety of stakeholders to drive organizational change.
• Outstanding interpersonal skills; demonstrated ability to develop relationships within the organization;
• Excellent communication skills.

Experience: 5 - 6 years

• Strong knowledge of OOP, C#, LINQ, SQL Server.
• Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.
• Demonstrable knowledge of any one of the JavaScript frameworks - Angular JS or ReactJS.
• Must be strong in .net MVC.
• Minimum 1 yr experience in .Net Core, Web API.
• Excellent verbal communication skills.
• Good problem-solving skills.
• Ready to work in a challenging environment.
• Professional approach toward work.