1133 Tensorflow jobs in Bangalore

Build Intelligent Systems for a Mental Health Tech Startup

Role Overview :

As an AI/ML Engineer, you will be responsible for developing AI models that power our product offerings. You will work closely with product managers, data scientists, and software engineers to build intelligent systems that enhance user experience and improve mental health outcomes.

Key Responsibilities :

• Model Development : Design, develop, and deploy machine learning models using Python, TensorFlow, PyTorch, or Scikit-Learn.

• Data Processing : Pre-process and clean data to prepare it for model training.

• Model Evaluation : Evaluate model performance using metrics such as precision, recall, F1-score, and accuracy.

• Algorithm Optimization : Optimize algorithms for performance, scalability, and accuracy.

• API Integration : Develop APIs to integrate machine learning models into the product's backend architecture.

• Collaboration : Work closely with backend and frontend developers to ensure seamless integration of AI components.

• Documentation : Create detailed technical documentation of models, data pipelines, and APIs.

• Research & Innovation : Stay up-to-date with the latest advancements in AI and machine learning and recommend innovative solutions.

• Continuous Improvement : Tune models based on user feedback and new data to improve performance over time.

Qualifications & Requirements

• Education: Bachelors or Masters degree in Computer Science, Data Science, or a related field.

• Experience: Minimum 5 years in AI/ML development, with experience in startup or fast-paced environments preferred.

• Technical Skills:

• Proficiency in Python and machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn.

• Experience with NLP, Computer Vision, or Time Series Forecasting.

• Familiarity with SQL and NoSQL databases.

• Experience with Docker and Kubernetes.

• Knowledge of Git and CI/CD pipelines.

• Understanding of RESTful APIs and microservice architecture.

• Soft Skills: Strong problem-solving ability, innovative mindset, and excellent communication skills. Ability to thrive in a fast-paced, evolving startup environment.

Why Join Us ?

• Make an Impact: Be part of an innovative team shaping the future of AI-driven mental health solutions.

• Career Growth: Opportunity to build and scale AI systems from scratch in a dynamic startup.

• Innovative Work Environment: Work on cutting-edge AI technologies.

• Equity Potential: Possibility of future compensation and equity-based incentives as the startup grows.

Note: This is an unpaid role for the first 3 months, until funding is secured. If you are not open to working without salary during this period, we respectfully request that you do not apply.

We would also appreciate it if you could briefly share what is motivating you to join us despite the unpaid initial phase.

If you are passionate about applying AI to improve mental health and contributing to high-impact projects in a startup environment, we encourage you to apply

Questions to be added

1. As per our JD, how many months is the expected funding to be secured? By applying, you confirm your are applying for startup and funding is yet to be secured.

Option: (Text field or number input with 0, 1, 2 & 3 (candidate will update with no. of months))

2. Do you have 3+ yrs of experience and can work independently with minimal supervision? If yes, mention your total yrs of experience.

Option: (Text field or number input, (candidate will update with no. of yrs experience))

3. If selected, how soon can you join? (We prefer immediate joiners or those with =15 days' notice)

Option: (Text field or number input)

4. This role is based in Bangalore with a work-from-office expectation after 34 months. Are you comfortable with this arrangement? Which city are you looking for job?

Option: (Text field)

5. Please mention your total annual expected salary (CTC), including all components. Accurate details are necessary for us to assess your fit for the role and proceed with your application.

Option: (Text field or number input)

Tired of building models that sit on a shelf?

Tired of traditional software? So are we. Petrabytes empowers the oil and gas industry with cutting-edge scientific software. We believe in collaboration and continuous learning to push technology forward. Join us to turn complex data into powerful solutions.

What You'll Need :

Experience :

We welcome experienced engineer 4+ years with strong expertise in designing, developing, and deploying machine learning modles.

Your Role in Action

• Model Development: You'll be at the forefront of our AI efforts, designing, training, and optimizing machine learning and deep learning models. You'll work with large datasets, applying your expertise in feature engineering, preprocessing, and validation to build robust and accurate models.
• Deployment & Integration: You won't just build models; you'll get them into the hands of our users. You will deploy models into production using MLOps best practices and cloud platforms. You'll also build scalable pipelines for training and serving models and integrate your AI solutions directly into our applications and APIs.
• Collaboration & Research: You will work closely with data engineers to build robust data pipelines. You will also partner with product managers to turn business needs into concrete AI/ML use cases. You will also monitor model performance and retrain models as needed.

Must Have Skills

• Programming Expertise: You have strong programming skills in Python and are highly proficient with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.
• Model Deployment: You have hands-on experience deploying models on cloud platforms such as AWS SageMaker, GCP , or Azure ML.
• ML Fundamentals: You have a solid understanding of machine learning fundamentals, including supervised ,unsupervised learning and reinforcement learning and are proficient with version control (Git) and CI/CD for machine learning.
• Data Proficiency: You have experience with data preprocessing, feature engineering, and model evaluation.

Ready to apply and keep learning with us?

Job Type: Full-time

Pay: ₹1,001, ₹1,528,604.24 per year

Benefits:

• Health insurance
• Life insurance
• Provident Fund

Work Location: In person

Selected Intern's Day-to-day Responsibilities Include

• Assist in developing and testing AI-driven business solutions.
• Performing data operations using approved AI models/tools with high accuracy.
• Build and analyze real-world datasets from multiple sources; run experiments to test and benchmark AI models.
• Evaluate and help integrate third-party AI tools and APIs into existing workflows.
• Rapidly prototype solutions using no-code/low-code platforms or Python, PHP, JavaScript, and n8n where appropriate.
• Document experiments, learnings, outcomes, and the business impact of project initiatives.
• Perform day-to-day technical tasks to keep projects running smoothly.

About Company: Frontdigit Labs is a leading young and dynamic integrated digital technology company with a portfolio of successful brands. We are committed to delivering significant value and fostering trust and enduring relationships with our 25 million + global audience. We build web properties to scale with constantly evolving designs, content, technology and distribution. We are committed to breaking new ground to foster unparalleled growth and achievement within the digital and new media landscape.

We are looking for a hands-on Speech Engineer to lead the deployment and optimization of on-premise ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) systems powering WordWorks AI's enterprise-grade voice bots. This role requires someone who can bridge speech technology, infrastructure, and real-world telephony integration, with a focus on Arabic and multilingual capabilities.

Key Responsibilities- Deploy, configure, and optimize on-prem ASR/TTS engines such as Microsoft Speech containers, NVIDIA Riva, Google Speech-to-Text On-Prem, or equivalent.
- Integrate ASR/TTS services with SIP/VoIP systems, WebSockets, and our agentic AI workflow engine.
- Benchmark and fine-tune ASR accuracy for noisy telephony audio and regional accents (Arabic, English, Hindi).
- Test and validate neural TTS voices, ensuring natural prosody, low latency, and language coverage (Arabic variants, English, others).
Ensure low-latency performance with barge-in handling (- Build monitoring, logging, and health checks for speech services in Kubernetes/Docker.
- Work with AI engineers to tune models for specific BFSI and SaaS use cases like collections, onboarding, and order-to-cash automation.
- Maintain strict compliance by keeping audio and data fully within the customer infrastructure.
About Company: At Wordworks AI, we leverage the transformative power of artificial intelligence and natural language processing to build solutions that understand, interpret, and respond to human language with unparalleled precision. Our suite of B2B and B2C solutions is designed to empower businesses and consumers alike, enhancing digital communication and streamlining complex processes.

Are you passionate about Artificial Intelligence and eager to kickstart your career in this rapidly growing field? is seeking a talented AI Trainee to join our dynamic team. As an AI Trainee, you will have the opportunity to work on cutting-edge projects and gain hands-on experience in artificial intelligence, video editing, prompt engineering, social media marketing, content marketing, and content writing.

Key responsibilities:

1. Collaborating with our team of AI experts to develop innovative solutions using AI technologies
2. Assisting with video editing tasks to create engaging and visually appealing content
3. Developing and implementing prompt engineering strategies to enhance user experience
4. Supporting social media marketing efforts to drive brand awareness and engagement
5. Creating compelling content for various marketing channels to attract and retain customers
6. Conducting research and staying up-to-date on the latest AI trends and developments
7. Contributing to brainstorming sessions and offering creative ideas to enhance our AI capabilities

If you are a motivated and enthusiastic individual with a strong interest in AI and related technologies, we want to hear from you Join us at and take your career to the next level. Apply now

Key Responsibilities

• Deliver engaging AI, ML, DL, and GenAI training sessions with hands-on coding practice.
• Develop and update AI-focused curriculum, materials, and learning paths.
• Create and evaluate assessments, projects, and quizzes to measure learning.
• Mentor learners in AI projects, guiding from concept to deployment.
• Train on AI tools, frameworks, and MLOps practices.
• Integrate AI ethics, bias awareness, and responsible AI practices into training.
• Collaborate with industry experts to provide real-world case studies.
• Track AI trends and align content with job market demands.
• Collect feedback to improve training delivery and outcomes.
• Stay updated through research, courses, and AI community engagement.

About Company: HRLytics provides an entire gamut of services required for business optimization by maximizing human contribution proportional to human capabilities in core areas. HRLytics provides end-to-end HR analytics designed to provide appropriate information for critical decision-making across a wide range of industries.

Job Title: AIML Engineer
Position: SE
Experience: 5-6 yrs
Category: IT Infrastructure
Main location: India, Karnataka, Bangalore
Primary Skill-AI/ML
Employment Type: Full Time
Qualification: Bachelor's degree in Computer Science or related field or higher.

Responsibilities
===
You are a talented ML Engineer who likes a challenge. We are looking to build ML/AI solutions that possess the transformative power to help clients adopt ML-Ops platforms into the very fabric of what they do.
From the implementation of ML/AI into critical infrastructure, all the way through to building out the latest recommendation engine
for digital marketing; the opportunity to develop, learn and create is here. You will help support the creation of thought-provoking
solutions using the likes of Kubeflow/ML-Flow and bring a good understanding of Kubernetes to deliver ML/AL at scale, but equally you
will bring the ability to work collaboratively with clients and help lead them on their journey to reap the benefits of ML/AI.
You are a self-starter, fast-learner, and bring a high level of drive and tenacity, but are down to earth and able to connect
with a wide range of internal and external stakeholders. Our junior team members are always looking for role models and
you will relish the opportunity to help shape the next generation of ML/AI specialists and support building out our growing Centre of
Excellence and lead from the front.
Requirements:
===
We are looking for great people to join a great culture. We do not expect everyone to have all of the skills below, but you re the type of person who has the ability to get there quickly:
Candidate should be proactive, problems solvers, ready to learn on their own.
Proficiency in one or more modern programming languages, mainly Python
Can work across one or more of the common cloud environments Azure/AWS/GCP
Solid understanding of a ML/AI libraries and algorithms cutting across the likes of Scikit-Learn, Keras and TensorFlow
Demonstrable experience of Kubernetes, Kubeflow/ML-flow and ability to manage containerised workflows, including performance monitoring and tuning and solid understanding of ML-Ops practices to drive production model reliability and efficiency.
Advanced knowledge of application, data, and infrastructure architecture disciplines
Understanding of architecture and design across all systems
Knowledge of industry-wide technology trends and best practices across Machine Learning, Data Movement, Security, etc.
Ability to work in large, collaborative teams to achieve organizational goals.
Passionate about building an innovative culture.
Understanding of software skills such as business analysis, development, maintenance, and software improvement
Ability to see the road ahead and design reusable code.
Must Have Skills
===
ML/AI libraries and algorithms
Python
Kubernetes, Kubeflow/ML-flow
ML-Ops practices
Cloud Knowledge
Scikit-Learn, Keras and TensorFlow
Candidate should be proactive, Problems solvers, ready to learn on their own
Good to have Skills
===
Worked on any of common cloud environments Azure/AWS/GCP
workflows
Database