Senior Forward Deployed Engineer

NewRocket

. Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering .

Posted 11/2/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying machine learning models using TensorFlow, PyTorch, and Scikit-learn, with a strong focus on NLP tasks and cloud-based AI solutions. Proficient in database management, data visualization, and implementing AI automation solutions.

Highest-signal resume keywords

Machine Learning Model DevelopmentTensorFlowAWS ServicesNatural Language ProcessingDatabase Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLTensorFlowPyTorchScikit-learnApache SparkHugging FaceETL PipelinesData VisualizationLarge Language Models

Soft Skills

Analytical SkillsProblem-SolvingCollaborationAdaptability

Tools & Technologies

AWSAzureGoogle CloudTableauPower BIMicrosoft TeamsSageMakerLambdaS3Snowflake

Industry Keywords

Predictive AnalyticsClassificationClusteringData Quality ManagementAI AutomationConversational AIText ClassificationSummarizationSentiment AnalysisData Science

Tech Stack

Tools & technologies

ApacheAWSAzureCloudETLMongoDBMySQLNumpyPandasPostgresPythonPyTorchScikit-LearnSnowflakeSparkSQLTableauTensorflow

About the role

Key responsibilities & impact

Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering
Implement AI-based solutions using TensorFlow, PyTorch, and Scikit-learn
Work with AWS services including SageMaker, Lambda, and S3, as well as Azure and Google Cloud Vertex AI
Integrate and fine-tune Hugging Face transformer models such as BERT and GPT for NLP tasks including text classification, summarization, and sentiment analysis
Develop AI automation solutions, including chatbots using Microsoft Teams and Azure AI
Work with Apache Spark and Snowflake for large-scale data processing and analytics
Design and optimize ETL pipelines for data quality management and transformation
Use SQL, MySQL, PostgreSQL, and MongoDB for database management and querying
Create interactive data visualizations using Tableau and Power BI
Fine-tune, train, and deploy Large Language Models for conversational AI, text generation, and summarization
Develop and implement Agentic AI systems that enable autonomous decision-making agents

Requirements

What you’ll need

3-6 years of experience applying AI to practical applications
Strong programming skills in Python and SQL
Experience with TensorFlow, PyTorch, or Scikit-learn
Knowledge of basic algorithms and object-oriented and functional design principles
Proficiency with Pandas, NumPy, and Matplotlib
Hands-on experience with AWS, Azure, and Google Cloud
Experience with Apache Spark
Knowledge of NLP and AI model implementations using Hugging Face and cloud-based AI
Strong understanding of database management, query optimization, and data quality
Experience with Tableau and Power BI
Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related field
Ability to work in a collaborative environment and adapt to new AI technologies
Strong analytical and problem-solving skills

Benefits

Comp & perks

Diverse and inclusive workplace
Equal opportunity workplace and affirmative action employer
Employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status
Disability accommodation available upon request