1312 Machine Learning Specialists jobs in Bengaluru

Description
We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take then to production pipeline.

The candidate is expected to lead the AI/ML work across multiple projects, working along with other ML Engineers , ensuring clear understanding and translation of requirements for the team and proposing optimized solutions.

He / She would also need to work on Ad hoc timebound POCs.

Capability building and team upskill would also be expected from him / her.

We would want him / her to share the knowledge with other team members and bring them up to the same level , which includes conducting learning sessions across teams and monitoring the progress of the team members.

• Design and develop various machine learning and deep learning models and systems for high impact consumer applications ranging from predictive safety, content personalizations, search, virtual assistant, time series forecasting and more.

Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of various machine learning problems such as multilingual text classification, language modelling and multi-modal learning.

• Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.
• Analyse and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies.
• Produce reusable code according to standard methodologies in Python, Scala or Java.
• Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code reviews.
• Strong Python programming skills.

Good to have Skills
: SQL, Data Analysis , Gaming Industry knowledge.

Department :
ENT SIE GNT & AI | ML.

Skills Required :
Data Science , Machine Learning , Artificial Intelligence , Statistics , Deep Learning.

Role

• Collaborate dedicated team of software engineers to architect, build, deploy and support best-in-class software services that are always available to provide the best gaming experience for our customers.
• Build and develop a high energy, committed, motivated engineering team focusing on engineering and operational excellence to deliver awesome business results.
• Collaborate across business units and product teams to develop and execute against the team's vision, strategy, and roadmap.
• Use technical expertise and industry trends to influence software development standard methodologies.
• Handle day-to-day activities of engineering team using Agile/Scrum :
• Masters degree in CS/Statistics/Machine Learning , with a specialization in machine learning or equivalent experience.
• 5+ years of experience in Machine Learning domain.
• Experience in developing production-level large-scale ML models and data pipel.

)

Experience

• 5+ years of professional experience in Machine Learning Engineering, Software Engineering with a strong ML focus, or a similar Programming Skills :
• Expert-level proficiency in Python, including experience with writing production-grade, clean, efficient, and well-documented code.
• Experience with other languages (e.g., Java, Go, C++) is a Software Engineering Fundamentals :
• Deep understanding of software design patterns, data structures, algorithms, object-oriented programming, and distributed Learning Expertise :
• Solid theoretical and practical understanding of various machine learning algorithms
• Proficiency with ML frameworks such as PyTorch, Scikit-learn.
• Experience with feature engineering, model evaluation metrics, and hyperparameter Handling :
• Experience with SQL and NoSQL databases, data warehousing concepts, and processing large :
• Excellent analytical and problem-solving skills, with a pragmatic approach to delivering :
• Strong verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

)

We are looking for a
Machine Learning & Generative AI Engineer
to design, build, and deploy advanced ML and GenAI solutions. This role offers an exciting opportunity to work on
cutting-edge AI systems
, including
LLM fine-tuning, Transformer architectures, and RAG pipelines
, while also driving traditional ML model development for decision-making and automation.

Key Skills Required

• 3–7 years in Machine Learning, Deep Learning, and AI model development
• Strong proficiency in Python, PyTorch, TensorFlow, Scikit-Learn, MLflow
• Expertise in Transformer architectures (BERT, GPT, T5, LLaMA, Falcon, etc.) and attention mechanisms
• Experience with Generative AI: LLM fine-tuning (LoRA, QLoRA, PEFT, full model tuning), instruction tuning, and prompt optimization
• Hands-on with RAG (Retrieval-Augmented Generation) – embeddings, vector databases (FAISS, Pinecone, Weaviate, Chroma), and retrieval workflows
• Strong foundation in statistics, probability, and optimization techniques
• Experience with cloud ML platforms: Azure ML / Azure OpenAI, AWS SageMaker / Bedrock, or GCP Vertex AI
• Familiarity with Big Data & Data Engineering: Spark, Hadoop, Databricks, SQL/NoSQL databases
• Proficiency in CI/CD, MLOps, and automation pipelines (Airflow, Kubeflow, MLflow)
• Hands-on with Docker, Kubernetes for scalable ML/LLM deployment

Good to Have

• NLP & Computer Vision: Transformers, BERT/GPT models, YOLO, OpenCV
• Experience with vector search & embeddings for enterprise-scale GenAI solutions
• Exposure to multimodal AI (text + image/video/audio) and Edge AI / federated learning
• Knowledge of RLHF (Reinforcement Learning with Human Feedback) for LLMs
• Familiarity with real-time ML applications and low-latency model serving

Role Responsibilities

• Design, build, and deploy end-to-end ML pipelines – data preprocessing, feature engineering, model training, and deployment
• Develop and optimize LLM-based solutions for enterprise use cases, leveraging Transformer architectures
• Implement RAG pipelines using embeddings and vector databases to integrate domain-specific knowledge into LLMs
• Fine-tune LLMs on custom datasets (text corpora, Q&A, conversational data, structured-to-text) for domain-specific tasks
• Ensure scalable deployment of ML & LLM models on cloud environments with monitoring, versioning, and performance optimization
• Collaborate with cross-functional teams (data scientists, domain experts, software engineers) to deliver AI-driven business impact

Job Description: Machine Learning & Generative AI Engineer

• Role:
  Machine Learning & Generative AI Engineer
• Job Location:
  Bangalore (Hybrid – 2-3 days from office)
• Experience:
  3-7 years

We value diverse perspectives and encourage applications from women in technology

About the Role

We are seeking a highly skilled
Machine Learning & Generative AI Engineer
to design, build, and deploy advanced ML and GenAI solutions. This role provides the opportunity to work on cutting-edge AI technologies such as
LLM fine-tuning, Transformer architectures, Retrieval-Augmented Generation (RAG)
, and enterprise-scale ML systems. The ideal candidate will combine strong technical expertise with innovative thinking to deliver impactful AI solutions aligned with business needs.

Required Skills & Qualifications

·   3–7 years of experience in
Machine Learning, Deep Learning, and AI model development

·   Strong proficiency in Python
and ML frameworks:
PyTorch, TensorFlow, Scikit-Learn, MLflow

·   Expertise in Transformer architectures
(BERT, GPT, T5, LLaMA, Falcon, etc.) and
attention mechanisms

·   Hands-on experience with Generative AI
: LLM fine-tuning (LoRA, QLoRA, PEFT, full model tuning), instruction tuning, and
prompt optimization

·   Experience with RAG pipelines
– embeddings, vector databases (FAISS, Pinecone, Weaviate, Chroma), and retrieval workflows

·   Strong foundation in
statistics, probability, and optimization techniques

·   Proficiency with cloud ML platforms
(Azure ML / Azure OpenAI, AWS SageMaker / Bedrock, GCP Vertex AI)

·   Familiarity with
Big Data & Data Engineering
: Spark, Hadoop, Databricks, SQL/NoSQL databases

·   Hands-on experience with
CI/CD, MLOps, and automation pipelines
(Airflow, Kubeflow, MLflow)

·   Experience with
Docker, Kubernetes
for scalable ML/LLM deployment

Preferred Qualifications

·   Experience in
NLP & Computer Vision
(Transformers, BERT/GPT models, YOLO, OpenCV)

·   Knowledge of
vector search & embeddings
for enterprise-scale GenAI solutions

·   Exposure to
multimodal AI
(text + image/video/audio) and
Edge AI / federated learning

·   Familiarity with RLHF (Reinforcement Learning with Human Feedback)
for LLMs

·   Understanding of
real-time ML applications
and
low-latency model serving

Key Responsibilities

·   Design, build, and deploy
end-to-end ML pipelines
including data preprocessing, feature engineering, model training, and deployment

·   Develop and optimize
LLM-based solutions
leveraging Transformer architectures for enterprise applications

·   Implement
RAG pipelines
using embeddings and vector databases to integrate domain-specific knowledge into LLMs

·   Fine-tune LLMs on
custom datasets
(text corpora, Q&A, conversational data, structured-to-text) for specialized tasks

·   Ensure
scalable deployment
of ML & LLM models on cloud environments with monitoring, versioning, and performance optimization

·   Collaborate with
data scientists, domain experts, and software engineers
to deliver AI-driven business impact

What We're Looking For

Beyond technical skills, the ideal candidate should excel in:

·   Real-world AI application & deployment

·   Prompt engineering & model evaluation

·   Fine-tuning & customization of LLMs

·   Understanding of LLM internals & ecosystem tools

·   Creativity, problem-solving & innovation

·   Business alignment, security, and ethical AI practices

Integers.Ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

1. Job Title: Machine Learning (ML) Architect

Summary:The Machine Learning Architect designs and oversees AI/ML architecture for scalable enterprise solutions. This role sets technical direction, drives ML operations (MLOps), ensures high model performance, security, compliance, and bridges data, engineering, and business objectives.

Key Responsibilities:

• Architect and maintain ML pipelines spanning data preparation, model training, deployment, monitoring, and retraining.
• Define standards/best practices for MLOps, feature management, model versioning, CI/CD, and model registry.
• Collaborate with DevOps, Security, Compliance and Data Governance teams on infrastructure and policies.
• Evaluate, select, and integrate appropriate frameworks and platforms (PyTorch, TensorFlow, AWS Sagemaker, Vertex AI, Kubeflow, etc.).
• Optimize computational resource utilization and cost for cloud/hybrid environments.
• Lead technical design reviews, root cause analyses, and system troubleshooting.
• Document architecture and mentor teams in scalable ML solution design.

Required Skills:

• Deep knowledge of ML algorithms, statistical modeling, data engineering, and distributed systems.
• Strong programming (Python, Scala, Java) and hands-on MLOps exposure.
• Cloud expertise (AWS, Azure, GCP), especially ML-native services.
• Proficiency in containerization/orchestration (Docker, Kubernetes).
• Familiarity with CI/CD pipelines, GitOps, and Infrastructure as Code.
• Excellent communication, system documentation, and leadership skills.

Preferred Qualifications:

• Experience with Explainable AI, responsible AI, and ML governance.
• Prior experience leading large-scale deployments of ML solutions.

Tools & Technologies:Python, PyTorch, TensorFlow, MLFlow, Airflow, AWS, GCP, AzureML, Docker, Kubernetes, Apache Spark.

Experience:8+ years in ML/Data Science/Software Engineering, 3+ years architecture leadership.

Education:Bachelor's/Master's in Computer Science, Data Science, or similar technical field.

Job Type: Full-time

Pay: ₹4,000, ₹6,000,000.00 per year

Work Location: In person

Job Description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Senior Artificial Intelligence/Machine Learning Developer (DES) to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Location : Bangalore and Chennai ( Hybrid)

Skills and Abilities:

Minimum Qualifications:

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA endeavors to make to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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What you will enjoy doing

• You will develop, train, test and deploy machine learning models in various fields such as

computer vision, LLMs, tabular and time series data.

• Experimenting with novel deep learning based technologies such as self-supervised learning

and generative AI will also be part of your tasks

• You will support in setting up the MLOps infrastructure for existing and new AI products

• Additionally you will work directly with customer data and set up data pipelines to collect,

curate, transform and version data

You'll be working in the Artificial Intelligence team, AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across

business and value chain. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers

in the AI team and others in the Global AI team.

As a Machine Learning Enginee, you will be working closely with our global AI team to create and

implement sustainable AI models, algorithms, and software solutions for our global industrial gases and engineering services operations. You will participate in the collection, analysis, interpretation, and output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer vision.

What Makes You Great

• You have a Bachelor or Masters Degree in Data Science, Computational

Statistics/Mathematics, Computer Science or related field

• You know the basics of neural networks and have an initial practical experience with deep

learning frameworks like PyTorch and Tensorflow.

• You have experience in backend and API development with Python (FastAPI, Flask) or similar

• You demonstrate knowledge of and basic practical experience with Object Oriented

Programming, design patterns, algorithms and data structures, version control systems (e.g.

Git)

• Having basic experience with cloud platforms (e.g. Azure), Docker and Kubernetes is a plus

• Fluent English

What you will enjoy doing

• You will develop, train, test and deploy machine learning models in various fields such as

computer vision, LLMs, tabular and time series data.

• Experimenting with novel deep learning based technologies such as self-supervised learning

and generative AI will also be part of your tasks

• You will support in setting up the MLOps infrastructure for existing and new AI products

• Additionally you will work directly with customer data and set up data pipelines to collect,

curate, transform and version data

You'll be working in the Artificial Intelligence team, Linde's AI global corporate division engaged with

real business challenges and opportunities in multiple countries. Focus of this role is to support the

AI team with extending existing and building new AI products for a vast amount of uses cases across

Linde’s business and value chain. You'll collaborate across different business and corporate functions

in international team composed of Project Managers, Data Scientists, Data and Software Engineers

in the AI team and others in the Linde's Global AI team.

As a Machine Learning Enginee, you will be working closely with our global AI team to create and

implement sustainable AI models, algorithms, and software solutions for our global industrial gases

and engineering services operations. You will participate in the collection, analysis, interpretation, and

output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer

vision.

What Makes You Great

• You have a Bachelor or Masters Degree in Data Science, Computational

Statistics/Mathematics, Computer Science or related field

• You know the basics of neural networks and have an initial practical experience with deep

learning frameworks like PyTorch and Tensorflow.

• You have experience in backend and API development with Python (FastAPI, Flask) or similar

• You demonstrate knowledge of and basic practical experience with Object Oriented

Programming, design patterns, algorithms and data structures, version control systems (e.g.

Git)

• Having basic experience with cloud platforms (e.g. Azure), Docker and Kubernetes is a plus

• Fluent English

Why You Will Love Working With Us

At Linde, you will have the opportunity to think outside the box, work on innovative topics, and deliver

impactful solutions to our internal customers. You’ll be part of a team that values inclusivity, fosters

creativity, and welcomes diverse perspectives, making Linde an employer of choice.

We act responsibly towards our shareholders, business partners, employees, society, and the

environment. Linde is committed to technologies and products that combine customer value with

sustainable development.

What We Offer You

In addition to an attractive compensation package, we offer flexible working hours and various

benefits to support your professional and personal development. Our culture values work-life

balance, helping you to combine career ambitions with family commitments.

Have We Inspired You?

We look forward to receiving your application.