Digital Senior Engineer

Darwinbox Digital Solutions Pvt. Ltd.; Pune District; Hybride; INR 2 000 000 - 2 800 000; Plein temps

Résumé du poste

Sonata Software in Pune is seeking an experienced AI/ML Engineer to design, develop, and deploy production-ready ML models and Agentic AI solutions. You will work across data engineering, ML research, and software development to deliver scalable AI capabilities.

The ideal candidate has 6–8 years of software experience with Python, ML, SQL, MLOps, and agentic AI frameworks, and you will collaborate with product and engineering teams to deploy in cloud environments.

Qualifications

• 6–8 years of software engineering experience with strong Python development skills.
• 3+ years of hands-on experience building and deploying Machine Learning solutions.
• Hands-on experience building Agentic AI solutions using LangGraph, LangChain, AutoGen, CrewAI, or similar frameworks.
• Strong understanding of supervised and unsupervised learning techniques.
• Experience with recommendation systems, predictive analytics, forecasting, classification, anomaly detection, or optimization.
• Hands-on experience with Scikit-Learn, XGBoost, LightGBM, TensorFlow, PyTorch, or equivalent frameworks.
• Strong SQL and data analysis skills.
• Experience with feature engineering, model evaluation, and experimentation frameworks.
• Familiarity with MLOps practices, model deployment, monitoring, and lifecycle management.
• Experience building data pipelines and integrating enterprise systems through APIs and databases.
• Experience with Docker, CI/CD, Git, and modern software engineering practices.
• Experience working with AWS or Azure cloud platforms.

Responsabilités

• Design, develop, and deploy Machine Learning models for prediction, recommendation, optimization, classification, and forecasting use cases.
• Build scalable ML pipelines covering data preparation, feature engineering, model training, evaluation, and deployment.
• Apply statistical and machine learning techniques to solve business problems using structured and semi-structured data.
• Work closely with product, engineering, and business teams to translate requirements into production-ready AI/ML solutions.
• Design and develop agentic workflows using LangGraph, LangChain, AutoGen, CrewAI, or similar.
• Develop AI agents capable of reasoning, task orchestration, tool usage, and multi-step workflow execution.
• Integrate AI agents with enterprise systems, APIs, databases, and business applications.
• Combine Agentic AI capabilities with predictive and analytical ML models.

Connaissances

Python development

Machine Learning

SQL

MLOps

Agentic AI

Problem solving

Communication

Formation

Bachelor's degree in CS or related field

Outils

LangGraph

LangChain

AutoGen

CrewAI

Docker

Git

CI/CD

AWS

Description du poste

Job Title : AI/ML Engineer
Location: Pune | Hybrid
Experience: 6–8 Years
Primary Skills: Python, SQL, Machine Learning, ML Modelling, Agentic AI

About the Role

We are looking for an experienced AI/ML Engineer to join our AI Engineering team and build intelligent, scalable, and production-ready AI/ML solutions.

The role will focus on designing, developing, deploying, and optimizing Machine Learning models and Agentic AI solutions that deliver measurable business value across customer-facing and operational workflows.

The ideal candidate should have strong hands-on experience in Python, Machine Learning, SQL, MLOps, and Agentic AI frameworks, along with the ability to translate business requirements into scalable AI solutions.

Key Responsibilities

• Design, develop, and deploy Machine Learning models for prediction, recommendation, optimization, classification, and forecasting use cases.
• Build scalable ML pipelines covering data preparation, feature engineering, model training, evaluation, and deployment.
• Apply statistical and machine learning techniques to solve business problems using structured and semi-structured data.
• Work closely with product, engineering, and business teams to translate requirements into production-ready AI/ML solutions.

Agentic AI Development

• Design and develop agentic workflows using frameworks such as LangGraph, LangChain, AutoGen, CrewAI, or similar.
• Develop AI agents capable of reasoning, task orchestration, tool usage, and multi-step workflow execution.
• Integrate AI agents with enterprise systems, APIs, databases, and business applications.
• Combine Agentic AI capabilities with predictive and analytical ML models.
• Build and maintain data pipelines to ingest, transform, and process data from enterprise systems, APIs, databases, and external sources.
• Develop reusable data services and ML components to accelerate solution delivery.
• Ensure data quality, reliability, and scalability for model development and production workloads.
• Implement CI/CD pipelines for ML models and AI services.
• Establish model monitoring, performance tracking, retraining, and deployment processes.
• Manage model lifecycle, experimentation, versioning, and governance.
• Support deployment of AI/ML workloads on cloud platforms.
• Follow best practices for software engineering, testing, observability, and documentation.
• Leverage AI-assisted development tools to improve engineering productivity.
• Contribute to reusable frameworks, standards, and best practices across the AI team.

Required Qualifications

• 6–8 years of software engineering experience with strong Python development skills.
• 3+ years of hands-on experience building and deploying Machine Learning solutions.
• Hands-on experience building Agentic AI solutions using LangGraph, LangChain, AutoGen, CrewAI, or similar frameworks.
• Strong understanding of supervised and unsupervised learning techniques.
• Experience with recommendation systems, predictive analytics, forecasting, classification, anomaly detection, or optimization.
• Hands-on experience with Scikit-Learn, XGBoost, LightGBM, TensorFlow, PyTorch, or equivalent frameworks.
• Strong SQL and data analysis skills.
• Experience with feature engineering, model evaluation, and experimentation frameworks.
• Familiarity with MLOps practices, model deployment, monitoring, and lifecycle management.
• Experience building data pipelines and integrating enterprise systems through APIs and databases.
• Experience with Docker, CI/CD, Git, and modern software engineering practices.
• Experience working with AWS or Azure cloud platforms.
• Strong analytical, problem-solving, and communication skills.

Good to Have

Advanced AI & Data Platforms

• Experience with optimization techniques, routing algorithms, scheduling, or Operations Research.
• Knowledge of demand forecasting, customer propensity modelling, pricing analytics, and recommendation engines.
• Experience with explainable AI, model evaluation frameworks, and experimentation methodologies.

Data & Analytics

• Experience with Snowflake, Databricks, or modern cloud data platforms.
• Experience building analytical dashboards and decision-support solutions.
• Familiarity with large-scale data processing and distributed computing.

Generative AI

• Exposure to LLMs, RAG architectures, vector databases, and Agentic AI frameworks.
• Experience integrating ML solutions with Generative AI applications.

Domain Knowledge

• Exposure to Sales, Pricing, Customer Intelligence, E-commerce, Distribution, Logistics, Supply Chain, or ERP/CRM ecosystems is preferred.

Area

Technologies

Programming

Python, SQL

ML Frameworks

Scikit-Learn, XGBoost, LightGBM, TensorFlow, PyTorch

Agentic AI

LangGraph, LangChain, AutoGen, CrewAI

Generative AI

LLMs, RAG, Vector Databases

Data

Snowflake, SQL, APIs, Data Pipelines

MLOps

MLflow, Docker, CI/CD, Model Monitoring

Cloud

AWS, Azure

Development Tools

GitHub, Azure DevOps, GitLab, GitHub Copilot, Cursor

About Sonata Software

Sonata Software is an AI-first modernization engineering company that helps enterprises transform legacy systems into intelligent, scalable business platforms.

Powered by its Platformation™ framework and Harmoni.AI platform, Sonata delivers AI-led modernization across cloud, data, AI, Dynamics, test automation, and managed services.

Headquartered in Bengaluru, India, Sonata has more than $1.2 billion in revenue and 6,400+ AI engineers supporting global delivery across regions including the US, UK, India, Malaysia, Mexico, Australia, DACH, and the Nordics.

With deep partnerships across Microsoft, AWS, Salesforce, and Snowflake, Sonata helps Fortune 500 enterprises accelerate innovation, improve efficiency, and drive sustainable growth.