Mid Level GenAI Engineer Job at NTT DATA (Chennai)

Mid level GenAI Engineers

The Mid Level GenAI Engineer will be responsible for developing and implementing...

Location

India , Pune

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s/Master’s Degree or equivalent
5+ years in ML engineering, around 1+ years of hands-on with LLMs/GenAI and agentic frameworks
Experience in shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP)
Experience delivering end-to-end GenAI based solutions
Strong Python experience to build multiple AI-ML/ GenAI Solutions
Experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen
Strong experience working on SQL Query, Vector DB like Pinecone, Qdrant, Fiaas
Experience working on hybrid search and re-rankers
Experience on evaluation & observability LangSmith/ human-in-the-loop workflows
Strong experience in using any one of the leading Hyperscaler services from Azure/AWS/GCP

Job Responsibility

Build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval
Select/integrate/finetune LLMs & multimodalmodels
Apply prompt-engineering techniques to specific use cases and types
Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification etc
Should have good understanding of DevOps
Should have good understanding of LLM evaluation
Should have deployed min of 2 models in production (MLOps)
Should have understanding of guardrails, policy filters, PII redaction, runtime monitors and agent observability
Unit testing of GenAI Solutions built and documentation of results

ML Tech Lead (GenAI, AWS)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Deep ML Expertise: Advanced knowledge across multiple ML domains
Production ML: Extensive experience building production-grade ML systems
Architecture: Ability to design scalable, maintainable ML architectures
MLOps: Strong understanding of ML infrastructure and operations
LLM Systems: Experience with modern LLM-based applications and RAG
Code Quality: Exemplary coding standards and best practices
Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn
Cloud Platforms: Advanced AWS experience, familiarity with others
Data Engineering: Understanding of data pipelines and infrastructure
System Design: Ability to design complex distributed systems

Job Responsibility

Technical Leadership (40%): Set technical direction and standards for ML projects
Make architectural decisions for ML systems
Review and approve technical designs
Identify and address technical debt
Champion best practices in ML engineering
Troubleshoot complex technical challenges
Evaluate and introduce new technologies and tools
Mentorship & Team Development (35%): Mentor junior and mid-level ML engineers (2-5 engineers)
Conduct technical code reviews
Provide guidance on technical problem-solving

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Mid-Level Data Engineer

We are seeking a Professional Data Engineer to join our dynamic team, where you ...

Location

United Arab Emirates , Dubai

Salary:

40000.00 / Year

Parser Limited

Expiration Date

Until further notice

Requirements

3+ years of experience as a data engineer
Proficiency in SQL is a must
Experience with modern cloud data warehousing, data lake solutions like Snowflake, BigQuery, Redshift, Azure Synapse
Experience with ETL/ELT, batch, streaming data processing pipelines
Excellent ability to investigate and troubleshoot data issues, providing fixes and proposing both short and long-term solutions
Knowledge of AWS services (like S3, DMS, Glue, Athena, etc.)
Familiar with DBT or other data transformation tools
Familiarity with GenAI, and how to leverage LLMs to resolve engineering challenges

Job Responsibility

Develop and maintain ETL pipelines using SQL and/or Python
Use tools like Dagster/Airflow for pipeline orchestration
Collaborate with cross-functional teams to understand and deliver data requirements
Ensure a consistent flow of high-quality data using stream, batch, and CDC processes
Use data transformation tools like DBT to prepare datasets to enable business users to self-service
Ensure data quality and consistency in all data stores
Monitor and troubleshoot data pipelines for performance and reliability

Fulltime

Senior ML Engineer (GenAI)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Senior ML Engineer (GenAI)

As a Senior ML Engineer at Provectus, you'll be responsible for designing, devel...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

Senior ML Engineer (GenAI)

As a Senior ML Engineer at Provectus, you'll be responsible for designing, devel...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

Senior ML Engineer with GenAI

As a Senior ML Engineer at Provectus, you'll be responsible for designing, devel...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

Senior Software Engineer

As a Senior Software Engineer, you will own a full life cycle of development and...

Location

India , Pune

Salary:

Not provided

Rapid7

Expiration Date

Until further notice

Requirements

A minimum of 5+ years experience in software development
Deep expertise in Python, Core Java and object-oriented programming (OOP) principles
Ability to work in Python APIs, FastAPI, Django
Experience using Core Java libraries and features (e.g., Concurrency, Collections, I/O)
Proven ability to quickly learn and contribute in Python development for scripting, tooling, or service implementation
Expertise with Core Java features, data structures, and advanced libraries (e.g., NIO, advanced concurrency primitives, and diagnostic tools)
Solid experience with dependency management (Maven/Gradle) and testing frameworks (JUnit/TestNG)
Experience with CI/CD pipelines (Jenkins, GitLab CI, etc.)
Proficiency with version control systems (GitHub/GitLab)
Excellent collaboration and communication skills, with the ability to articulate technical designs and tradeoffs to both technical and non-technical audiences

Job Responsibility

Lead the design, development, and delivery of complex, high-impact features and services, ensuring they are scalable, highly available, and secure
Act as a subject matter expert for the team's core services, driving Core Java best practices and enforcing high code quality standards
Mentor and coach junior and mid-level engineers on technical design, implementation, and Core Java development standards
Collaborate with other Senior Engineers and Architects to define technical solutions and interfaces across multiple services
Conduct thorough code reviews and contribute to improving engineering processes, CI/CD pipelines, and operational excellence
Drive the resolution of complex production issues, performing root cause analysis, and implementing preventative measures

Mid Level GenAI Engineer

NTT DATA

Location:
India , Chennai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 27, 2026

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Job Description:

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Nice to have:

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Job Posted:April 27, 2026

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Job Posted:
April 27, 2026