1478 Machine Learning jobs in Bengaluru

Job Title: Cloud and MLOps Developer

Location: Bangalore

Required Skills:

• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Proficiency in MLOps tools like MLflow, Kubeflow, or SageMaker Pipelines.
• Strong knowledge of Docker, Kubernetes , and container orchestration.
• Proficient in Python, Bash , and basic scripting for automation.
• Experience with CI/CD tools and version control systems (e.g., Git).
• Familiarity with data and model versioning tools like DVC.
• Good understanding of machine learning lifecycle and ML model management.
• Knowledge of networking, security, and infrastructure automation .

Role - MLOps Engineer

Experience - 5+ Yrs

Location - Remote

Responsibilities:

● Build and optimize model serving infrastructure with a focus on inference latency and cost

optimization

● Architect efficient inference pipelines that balance latency, throughput, and cost across

various acceleration options

● Develop monitoring and observability solutions for ML systems

● Collaborate with ML Engineers to establish best practices for optimized model deployment

● Implement cost-efficient, enterprise-scale solutions

● Collaborate in a cross-functional, distributed team for continuous system improvement

● Work with MLEs, QA Engineers, and DevOps Engineers

● Evaluate and implement new technologies and tools

● Contribute to architectural decisions for distributed ML systems

Experience and Qualifications:

● 5+ years of experience in software engineering with Python

● Experience with ML frameworks, particularly PyTorch

● Experience optimizing ML models with hardware acceleration (AWS Neuron , ONNX,

TensorRT)

● Experience with AWS ML services and hardware-accelerated instances (Sagemaker,

Inferentia, Trainium)

● Proven experience building and operating AWS serverless architectures

● Deep understanding of event-driven processing patterns, SQS/SNS and serverless caching

solutions

● Experience with containerization using Docker and orchestration tools

● Strong knowledge of RESTful API design and implementation

● Proficiency in writing good quality & secure code and be familiar with static code analysis

tools

● Excellent analytical, conceptual and communication skills in spoken and written English

● Experience applying Computer Science fundamentals in algorithm design, problem solving,

and complexity analysis

• Develop, train, test, and deploy Machine learning models across various fields including computer vision, LLMs, and with tabular and time series data.
• Strong experience in Python, FastAPI, Flask
• Strong experience in SQL
• Strong experience Design Pattern/algorithms and data structures
• Familiarity with OOPS, Design Pattern/algorithms and data structures
• Familiarity with continuous integration, deployment, and automated build processes for scalable application delivery using Docker/Kubernetes
• Practical knowledge of one or more major cloud platforms (e.g. Azure, AWS, or GCP ).
• Excellent written and verbal communication skills in English.
• Experiment with novel deep learning-based technologies such as self-supervised learning and generative AI.
• Work directly with customer data and set up data pipelines to collect, curate, transform, and version data.
• Participate in the collection, analysis, interpretation, and output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer vision good foundational experience in PyTorch / Tensorflow .
• Work within the global corporate Artificial Intelligence division, which addresses real business challenges and opportunities across multiple countries.
• Collaborate across different business and corporate functions in an international team composed of Project Managers, Data Scientists, Data and Software Engineers within the Artificial Intelligence team and others in the Global AI team

About Eximietas:

Eximietas Design is a leading technology consulting and solutions development firm specializing in Chip design, Firmware & Embedded Software development, Cloud Computing, cybersecurity, and AI/ML domains. Our success is anchored in the unparalleled expertise of our engineering leadership team, who have collectively taped-out over 100+ chips and released countless software solutions for renowned tech giants like Google, Cisco, Microsoft, Oracle, Uber, Broadcom, and Sun. With a commitment to innovation and excellence, we deliver cutting-edge solutions that empower businesses to thrive in the ever-evolving digital landscape. We are an ISO 9001 and ISO 27001 certified company with development centers in the US and India.

Website link:

Please drop your updated resume at

Experience - 4-5years of (Relevant)

Location: Bangalore ( WFO - 5 days )

Job Type: Full-time

We are looking for candidates who have experience in MLOps and DevOps.

Skill Area-

Python

Software Testing (pytest)

Docker

RunAI / Kubernetes

Git & CI/CD (GitHub Actions)

GCP (Cloud Batch, GCR, etc.)

Model Conversion (ONNX, etc.)

Experiment Tracking (W&B, MLflow)

Hydra / Config Management

Hands-on experience in -

Cloud technologies

CI/CD and testing

MLOps tools and practices

Model tracking and versioning

Kubernetes and container orchestration

Interview Process -

1st Interview - Virtual

2nd interview - Virtual

3rd Client interview - F2F at client location in Bangalore (Must)

Headquartered in Finland, Tecnotree Corporation is a leading provider of full-stack Digital BSS for CSPs and DSPs. Founded in 1978, Tecnotree helps customers to monetize and transform their business towards a marketplace of digital services. Together with its customers, Tecnotree empowers people to self-serve, engage, and take control of their own digital life. Tecnotree is listed on Nasdaq Helsinki (TEM1V).

This is a full-time hybrid role for a Machine Learning Engineer, located in Bengaluru with some work from home flexibility. The Machine Learning Engineer will be responsible for designing and implementing scalable machine learning models, developing pattern recognition solutions, creating neural networks, and applying statistical methods. Day-to-day tasks also include algorithm development, data analysis, and collaboration with cross-functional teams.

• Expertise in Pattern Recognition and Neural Networks
• Strong background in Computer Science and Statistics
• Proficiency in developing Algorithms
• Excellent problem-solving and analytical skills
• Ability to work independently and as part of a team
• Experience with machine learning frameworks and tools
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• Experience in the telecom or digital services industry is a plus

Role Description

We are seeking a highly skilled Machine Learning Engineer to contribute to diverse healthcare and in-house data initiatives—ranging from complex data analysis and strategic insights to predictive modeling and real-time implementations. You will work closely with cross-functional teams to deliver high-quality, data-driven solutions that drive business impact.

Key Responsibilities

• Develop, implement, and optimize machine learning models for healthcare and internal projects.
• Conduct feature engineering to improve model performance.
• Deliver real-time model predictions and ensure their smooth integration into production systems.
• Collaborate with data scientists, analysts, and product teams to understand requirements and translate them into technical solutions.
• Apply statistical techniques and data analysis to derive insights and recommendations.
• Work with Large Language Models (LLMs) , deep learning architectures, and vector databases where applicable.
• Ensure scalability, efficiency, and reliability of deployed models.

Requirements :

• 1–3 years total professional experience in data or software engineering roles.
• 6–12 months hands-on experience in AI/ML model development and deployment.
• Strong proficiency in Python (mandatory).
• Solid understanding of statistics and its application in data modeling.
• Knowledge of LLMs , deep learning models, and vector databases .
• Experience with feature engineering and implementing real-time predictions.

Role Description

We are seeking a highly skilled Machine Leaning Engineer to support various healthcare & in-house data projects, from complex analysis and strategic insights to predictions and modeling. The ideal candidate will have a comprehensive understanding of Python, Statistical Techniques, LLMs, Deep Learning Models, and Vector databases, with the ability to collaborate across teams and provide exceptional solutions. The person should have experience in implementing feature engineering, and real time model predictions.

Responsibilities :

• Build, Refine, and Use ML Engineering platforms and components
• Deploy and operationalize ML models and deep Learning Models (with a focus on LLMs)
• Scaling machine learning algorithms to work on massive data sets and strict SLAs.
• Build and orchestrate model pipelines including feature engineering, inferencing, and continuous model training.
• Collaborate with clients and contribute to technical requirement gathering.
• Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews.
• Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies.
• Coaching and Mentoring of young engineers.

Requirements :

• A master’s or bachelor’s degree in Engineering, Computer Science or related field. Additional knowledge of advanced Statistical techniques be a plus
• A minimum of 3-5 years of experience in advanced software engineering with at least 3+ years of hands-on experience in ML development.
• Good fundamentals of Machine Learning and Data Science. Algorithm knowledge, Model Tuning, EDA, overfitting/underfitting, cross-validation, Data wrangling, feature engineering, storytelling with data etc
• Understanding of Statistics principles of Hypothesis testing, distributions, p-values, confidence intervals, Bayesian vs frequentist.
• Good understanding of Python libraries like NumPy, pandas, scikit-learn, matplotlib, seaborn, and performance optimization.
• RAG: Knowledge of retrievers (BM25, DPR), generators (LLMs), and integration methods

Salary upto 20 lpa

• Have hands on experience on real time ML Models / Projects
• Coding in Python Language, Machine Learning, Basic SQL, Git, MS Excel
• Experience in using IDE like Jupyter Notebook, Spyder, PyCharm
• Hands on with AWS Services like S3 bucket, EC2, Sagemaker, Step Functions.
• Engage with clients/consultants to understand requirements
• Taking ownership of delivering ML models with high precision outcomes.
• Accountable for high quality and timely completion of specified work deliverables
• Write codes that are well detailed structured and compute efficient

Job Title: Machine Learning Engineer (Founding Engineer)

Location: Bangalore, INDIA

Experience Level: Mid to Senior (3–5 years)

About Nexie

At Nexie, we’re revolutionizing the marketing landscape with our innovative agentic AI platform. Our technology empowers businesses to transform their marketing operations through intelligent automation — from ideation to execution and optimization — with a special focus on the ecommerce sector.

We believe in building elegant, AI-first solutions that solve complex problems with simplicity and style. Our mission is to create tools that not only work intelligently but delight users through thoughtful design.

Join Our Founding Team

• Work directly with our successful serial entrepreneur founders (Ashok & Pradeep) who have built and exited startups
• Shape the future of AI-powered marketing technology from the ground up
• See your innovations directly impact hundreds of global customers
• Enjoy significant equity and growth potential as an early team member

Your Impact & Opportunities

• Pioneer our AI systems across multiple domains — predictive analytics, generative content, decision engines, and more
• Design and implement cutting-edge ML infrastructure including experimentation frameworks, embedding systems, and feedback loops
• Collaborate across functions to rapidly prototype, test, and deploy AI solutions that drive measurable business outcomes
• Explore emerging AI technologies and help define the future capabilities of our platform

Ideal Background

• 3~5 years of hands-on experience with machine learning and AI technologies
• Strong programming skills, particularly in Python and modern ML frameworks
• Experience with large language models and generative AI applications
• Background in building data-driven models and systems
• Passion for experimentation, measurement, and continuous improvement

Bonus Skills

• Experience with AI agent systems or multi-step reasoning frameworks
• Knowledge of marketing technology, ecommerce, or customer engagement domains
• Track record of building production ML systems with proper monitoring and evaluation
• Interest in product design and user experience for AI applications

We Value

• Creative problem solvers who thrive in fast-paced environments
• Self-starters comfortable with ambiguity and wearing multiple hats
• Continuous learners who stay at the forefront of AI advancements
• Collaborators who communicate complex ideas with clarity and purpose

If you’re excited about defining the future of AI-powered marketing technology and want to join a team that values innovation, impact, and growth, we’d love to hear from you!