1438 Machine Learning jobs in Bangalore

Glance - An InMobi Group Company

Founded in 2019, Glance is a consumer technology company that operates disruptive digital platforms including Glance, Roposo, and Nostra. Glance’s ’smart lock screen’ inspires consumers to make the most of every moment by surfacing relevant experiences without the need for searching and downloading apps. Glance Lock Screen is currently available on over 450 million smartphones worldwide. Roposo is a LIVE platform that is revolutionizing live experiences, through a unique, immersive, creator-led approach. Nostra is the largest gaming platform in India and Southeast Asia, offering gamers engaging ways to discover, play, watch, learn and compete.

Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information visit glance.com, nostra.gg, and roposo.com

What should you know about joining Glance?

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!

What You Will Be Doing

As a Machine Learning Engineer , you will help design, develop, and deploy scalable ML systems and services that power consumer experiences across Glance platforms. You will work closely with Data Scientists and cross-functional teams to drive ML solutions from ideation to production.

Key Responsibilities:

• Architect and implement end-to-end ML pipelines for experimentation, model development, and deployment.
• Build microservices and APIs to serve ML models and AI-driven features.
• Design and develop proof-of-concepts and scalable AI/ML-based products.
• Collaborate with product, engineering, and content (newsroom) teams to define, test, and launch new ML features.
• Explore and integrate new tools, platforms, algorithms, and ML frameworks.
• Own project delivery with a focus on performance, reliability, and scalability.
• Document solutions and communicate effectively with stakeholders.

What We’re Looking For

• 5+ years of hands-on experience as an ML Engineer, with a track record of delivering real-world ML solutions.
• Strong background in Computer Science, Mathematics, or Statistics (Bachelor’s, Master’s, or PhD).
• Proven ownership of end-to-end ML projects, from prototype to production.
• Solid experience working with Recommender Systems and personalization.
• Proficiency in Python , Golang , Spark , and related open-source ML/data frameworks.
• Strong understanding of statistics, algorithms , and applied math.
• Ability to work independently and collaboratively in cross-functional teams.
• Excellent technical documentation and communication skills.
• Experience in a research-driven or data science-intensive environment is a plus.

Hiring: MLOps Engineer | Bangalore (Hybrid – 4 Days WFO)

Job Title: MLOps Engineer

Location: Bangalore (Hybrid – 4 days work from office)

Job Type: Full-Time

Experience: 3+ years

About the Role

We are looking for a passionate MLOps Engineer who can bridge the gap between Data Science and Production systems. You’ll work with Data Scientists, DevOps, and Software Engineers to build scalable ML infrastructure, automate workflows, and ensure smooth deployments.

Key Responsibilities

• Design, develop & maintain CI/CD pipelines for ML models
• Collaborate with Data Scientists to deploy scalable ML solutions
• Automate validation, retraining & monitoring pipelines
• Ensure reliability, security & scalability of ML infrastructure
• Manage containerized ML apps using Docker & Kubernetes
• Monitor model performance & data drift in production

Required Skills

• 3+ years in MLOps / DevOps / ML Engineering
• Strong in Python, Bash & scripting
• Experience with ML platforms (MLflow / Kubeflow / SageMaker)
• Cloud expertise (AWS / Azure / GCP )
• CI/CD tools (Jenkins, GitHub Actions, etc.)
• Mandatory: Experience in Psypark

Preferred Skills

• IaC tools (Terraform)
• Data engineering / ETL pipelines
• Monitoring tools (Prometheus, Grafana)

Why Join?

• Work at the intersection of AI, DevOps & Scalability
• Contribute to production-grade ML systems
• Growth-focused role with cutting-edge tech exposure

Exp:3+ years

Budget: 18 lpa

Key Responsibilities:

• Design and implement ML models for personalization, recommendations, NLP, and agentic AI systems.
• Build, test, and deploy ML models to production.
• Create and optimize feature engineering pipelines.
• Collaborate with cross-functional teams to integrate ML solutions.
• Monitor and improve model performance.

Required Skills:

• Strong Python skills (NumPy, Pandas, Scikit-learn).
• Deep learning with PyTorch or TensorFlow.
• Experience with recommendation libraries (LightFM, Surprise).
• Knowledge of LangChain/AutoGPT for agentic AI.
• NLP expertise with Hugging Face Transformers.
• Experience deploying ML models to production.

Qualifications:

• Advanced degree in Computer Science, ML, or related field.
• 3+ years of relevant ML/AI experience.

Job Title: ML Engineer - Partnership Track

Company: FastCode.AI

Location: Bangalore (In-office, 5 days/week)

About FastCode.AI: We're a 30-person AI/ML company building production systems for major clients. Half our team operates as partners - owning projects, managing P&L, and taking home percentages instead of just salaries. We believe in rapid growth through osmosis - 12 of our engineers started with zero ML experience and now lead complex projects.

About This Role: We're hiring exactly 2 ML Engineers who will join our partnership track. You don't need ML experience - our founder (PhD Max Planck, ex-Apple, ex-Weta Digital) and team will teach you. In 5-8 months, you'll be leading RAG pipelines, training models, and managing client relationships.

What You'll Do:

• Build and deploy ML systems for enterprise clients

• Own end-to-end projects from architecture to production

• Work directly with clients on requirements and delivery

• Progress from engineer to partner, managing your own P&L

• Collaborate with a team that ships code surviving Friday deploys

We're Looking For:

• Strong mathematical foundations and first-principles thinking

• High agency - you see problems and ship solutions without waiting for tickets

• Direct communication style - you push back with data

• Production mindset with emphasis on testing and monitoring

• Humility paired with ambition and hunger to grow

• Ability to write clearly and think systematically

Requirements:

• Bachelor's degree in any engineering discipline (or equivalent experience)

• Strong programming fundamentals

• Comfort with back-of-envelope calculations

• Willingness to work from our Bangalore office 5 days/week

Nice to Have: • Experience with Python (but we'll teach you) • Exposure to statistics/probability • Any technical project you're proud of

Compensation: ₹12-24 LPA based on experience + partnership track with revenue sharing

How to Apply: Application deadline: September 8, 2024, 8:00 AM IST

Email arjun+ with:

1. 150 words explaining why you're our next success story
2. Description of one hard problem you've solved (technical or otherwise)
3. Your LinkedIn profile link

We value clear thinking and strong writing. Show us both.

Why FastCode.AI: • Learn directly from industry veterans who've worked at Apple, Weta Digital, and published with Yann LeCun • Join alumni who've gone on to lead ML at US startups, co-found companies, and become professors • Transition from employee to partner - some 23-year-old partners out-earn senior engineers • Work on real production systems for major clients, not POCs • Grow faster than anywhere else - we've proven it works

Note: We're closing this role for 3 months after these 2 hires to focus on onboarding.

FastCode.AI is an equal opportunity employer committed to building a diverse and inclusive team.

• 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

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 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.

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)

Greetings.

TCS is currently hiring for a skilled Machine Learning Engineer. This opportunity offers an excellent chance to work in a dynamic and innovative environment. Please find the job description (JD) outlined below.

Experience : 10 - 16 years

Location :Pan India

Required skills:

Deep learning Frameworks (PyTorch, TensorFlow), Gen AI, LLM Fine-tuning, Deep learning Frameworks (PyTorch, TensorFlow), Gen AI, LLM Fine-tuning,

Gen AI Architectures (Transformers), Model Optimization and Performance Tuning

Builds and fine-tunes cutting-edge deep learning and generative AI models, particularly LLMs, for domain-specific AI applications. Requires expertise in deep learning frameworks and generative techniques to fine-tune and optimize high-performing models.