50+ Artificial Intelligence (AI) Jobs in Bangalore (Bengaluru) | Artificial Intelligence (AI) Job openings in Bangalore (Bengaluru)

3+ years of experience in cybersecurity, with a focus on application and cloud security.

· Proficiency in security tools such as Burp Suite, Metasploit, Nessus, OWASP ZAP, and SonarQube.

· Familiarity with data privacy regulations (GDPR, CCPA) and best practices.

· Basic knowledge of AI/ML security frameworks and tools.

About Reltio

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data.

Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”.

If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives.

If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data—let’s talk!

Job Summary

Core Platform development is spread across multiple cross-functional teams, each building large and complex components of the MDM platform. An engineer playing a senior role in a team is technically responsible for particular feature delivery, which consists of:

• Presenting a solution to Architects
• Technically driving feature delivery, making decisions, development leadership – distributing tasks across one or two regular engineers
• Working with QA to review testing approaches, providing all details needed for testing, and reviewing test plans
• Being responsible for all internal feature documentation

Job Duties and Responsibilities

• Integrate backend services with AI agents and LLM-powered toolchains
• Work closely with AI/ML teams to expose and support autonomous workflows through APIs
• Develop event-driven and asynchronous services for real-time agentic interactions
• Support integration of AI agents with business logic, databases, external APIs, and messaging systems
• Maintain API security, authentication, and data privacy standards
• Stay up to date on emerging agentic AI trends and suggest practical applications within the backend stack

Skills You Must Have

• Experience integrating with AI microservices, APIs, or agent frameworks
• Basic knowledge of Python will be a plus
• Previous work in a cross-functional environment combining backend and AI components
• Understanding of prompt engineering, embeddings, or semantic search is a plus
• Exposure to agentic AI systems and tools like LangChain will be a plus
• Familiarity with graph-based memory systems, context-aware workflows, or reasoning engines
• Basic understanding of MCP protocol

Skills That Are Nice to Have

• Experience working with NoSQL databases like Cassandra, and queue services like SQS
• Experience in cloud security principles
• Experience with Kubernetes
• Experience with big data technologies
• Experience in driving customer focus for SaaS products is a big plus

Why Join Reltio?

Health & Wellness:

• Comprehensive Group medical insurance (includes parents) with additional top-up options
• Accidental Insurance
• Life Insurance
• Free unlimited online doctor consultations
• Employee Assistance Program (EAP)

Work-Life Balance:

• 36 annual leaves (18 sick + 18 earned)
• 26 weeks maternity leave, 15 days paternity leave
• 1 week additional off every year globally (Recharge Week)

Support for Home Office Setup:

• Home office setup allowance

Stay Connected, Work Flexibly:

• Mobile & internet reimbursement
• Free meal coverage
• And many more…

Experience in working with various ML libraries and packages like Scikit learn, Numpy, Pandas, Tensorflow, Matplotlib, Caffe, etc. 2. Deep Learning Frameworks: PyTorch, spaCy, Keras 3. Deep Learning Architectures: LSTM, CNN, Self-Attention and Transformers 4. Experience in working with Image processing, computer vision is must 5. Designing data science applications, Large Language Models(LLM) , Generative Pre-trained Transformers (GPT), generative AI techniques, Natural Language Processing (NLP), machine learning techniques, Python, Jupyter Notebook, common data science packages (tensorflow, scikit-learn,keras etc.,.) , LangChain, Flask, FastAPI, prompt engineering. 6. Programming experience in Python 7. Strong written and verbal communications 8. Excellent interpersonal and collaboration skills.

Good-to-Have 1. Experience working with vectored databases and graph representation of documents. 2. Experience with building or maintaining MLOps pipelines. 3. Experience in Cloud computing infrastructures like AWS Sagemaker or Azure ML for implementing ML solutions is preferred. 4. Exposure to Docker, Kubernetes

SN Role descriptions / Expectations from the Role

1 Design and implement scalable and efficient data architectures to support generative AI workflows.

2 Fine tune and optimize large language models (LLM) for generative AI, conduct performance evaluation and benchmarking for LLMs and machine learning models

3 Apply prompt engineer techniques as required by the use case

4 Collaborate with research and development teams to build large language models for generative AI use cases, plan and breakdown of larger data science tasks to lower-level tasks

5 Lead junior data engineers on tasks such as design data pipelines, dataset creation, and deployment, use data visualization tools, machine learning techniques, natural language processing , feature engineering, deep learning , statistical modelling as required by the use case.

Job Title: Full Stack Developer (MERN + Python)

Location: Bangalore

Job Type: Full-time

Experience: 4–8 years

About Miror

Miror is a pioneering FemTech company transforming how midlife women navigate perimenopause and menopause. We offer medically-backed solutions, expert consultations, community engagement, and wellness products to empower women in their health journey. Join us to make a meaningful difference through technology.

Role Overview

·        We are seeking a passionate and experienced Full Stack Developer skilled in MERN stack and Python (Django/Flask) to build and scale high-impact features across our web and mobile platforms. You will collaborate with cross-functional teams to deliver seamless user experiences and robust backend systems.

Key Responsibilities

·        Design, develop, and maintain scalable web applications using MySQL/Postgres, MongoDB, Express.js, React.js, and Node.js

·        Build and manage RESTful APIs and microservices using Python (Django/Flask/FastAPI)

·        Integrate with third-party platforms like OpenAI, WhatsApp APIs (Whapi), Interakt, and Zoho

·        Optimize performance across the frontend and backend

·        Collaborate with product managers, designers, and other developers to deliver high-quality features

·        Ensure security, scalability, and maintainability of code

·        Write clean, reusable, and well-documented code

·        Contribute to DevOps, CI/CD, and server deployment workflows (AWS/Lightsail)

·        Participate in code reviews and mentor junior developers if needed

Required Skills

·        Strong experience with MERN Stack: MongoDB, Express.js, React.js, Node.js

·        Proficiency in Python and web frameworks like Django, Flask, or FastAPI

·        Experience working with REST APIs, JWT/Auth, and WebSockets

·        Good understanding of frontend design systems, state management (Redux/Context), and responsive UI

·        Familiarity with database design and queries (MongoDB, PostgreSQL/MySQL)

·        Experience with Git, Docker, and deployment pipelines

·        Comfortable working in Linux-based environments (e.g., Ubuntu on AWS)

Bonus Skills

·        Experience with AI integrations (e.g., OpenAI, LangChain)

·        Familiarity with WooCommerce, WordPress APIs

·        Experience in chatbot development or WhatsApp API integration

Who You Are

·        You are a problem-solver with a product-first mindset

·        You care about user experience and performance

·        You enjoy working in a fast-paced, collaborative environment

·        You have a growth mindset and are open to learning new technologies

Why Join Us?

·        Work at the intersection of healthcare, community, and technology

·        Directly impact the lives of women across India and beyond

·        Flexible work environment and collaborative team

·        Opportunity to grow with a purpose-driven startup

·         

In you are interested please apply here and drop me a message here in cutshort.

Responsibilities

• Design and implement advanced solutions utilizing Large Language Models (LLMs).
• Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
• Conduct research and stay informed about the latest developments in generative AI and LLMs.
• Develop and maintain code libraries, tools, and frameworks to support generative AI development.
• Participate in code reviews and contribute to maintaining high code quality standards.
• Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
• Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
• Possess strong analytical and problem-solving skills.
• Demonstrate excellent communication skills and the ability to work effectively in a team environment.

Primary Skills

• Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
• Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and Huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
• Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
• Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
• Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
• Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.

Job Title: Data Science Intern

Location: 6th Sector HSR Layout, Bangalore - Work from Office 5.5 Days

Duration: 3 Months | Stipend: Upto ₹12,000 per month 

Post-Internship Offer (PPO): Available based on performance

🧑‍💻 About the Role

We are looking for a passionate and proactive Data Science Assistant Intern who is equally excited about mentoring learners and gaining hands-on experience with real-world data operations.

This is a 50% technical + 50% mentorship role that blends classroom support with practical data work. Ideal for those looking to build a career in EdTech and Applied Data Science.

🚀 What You'll Do

• Technical Responsibilities (50%)Create and manage dashboards using Python or BI tools like Power BI/Tableau
• Write and optimize SQL queries to extract and analyze backend data
• Support in data gathering, cleaning, and basic analysis
• Contribute to building data pipelines to assist internal decision-making and analytics
• 
  

🚀Mentorship & Support (50%)

• Assist instructors during live Data Science sessions
• Solve doubts related to Python, Machine Learning, and Statistics
• Create and review quizzes, assignments, and other content
• Provide one-on-one academic support and mentoring
• Foster a positive and interactive learning environment

✅ Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field
• Strong knowledge of:
• Python (Data Structures, Functions, OOP, Debugging)
• Pandas, NumPy, Matplotlib
• Machine Learning algorithms (scikit-learn)
• SQL and basic data wrangling
• APIs, Web Scraping, and Time-Series basics
• Advanced Excel: Lookup & reference (VLOOKUP, INDEX+MATCH, XLOOKUP), Logical functions (IF, AND, OR), Statistical & Aggregate Functions: (COUNTIFS, STDEV, PERCENTILE), Text cleanup (TRIM, SUBSTITUTE), Time functions (DATEDIF, NETWORKDAYS), Pivot Tables, Power Query, Conditional Formatting, Data Validation, What-If Analysis, and dynamic dashboards using charts & slicers.
• Excellent communication and interpersonal skills
• Prior mentoring, teaching, or tutoring experience is a big plus
• Passion for helping others learn and grow

Desired Competencies (Technical/Behavioral Competency)

Must-Have 1. Experience in working with various ML libraries and packages like Scikit learn, Numpy, Pandas, Tensorflow, Matplotlib, Caffe, etc.

2. Deep Learning Frameworks: PyTorch, spaCy, Keras

3. Deep Learning Architectures: LSTM, CNN, Self-Attention and Transformers

4. Experience in working with Image processing, computer vision is must

5. Designing data science applications, Large Language Models(LLM) , Generative Pre-trained Transformers (GPT), generative AI techniques, Natural Language Processing (NLP), machine learning techniques, Python, Jupyter Notebook, common data science packages (tensorflow, scikit-learn,kerasetc.,.) , LangChain, Flask,FastAPI, prompt engineering.

6. Programming experience in Python

7. Strong written and verbal communications

8. Excellent interpersonal and collaboration skills.

Good-to-Have 1. Experience working with vectored databases and graph representation of documents.

2. Experience with building or maintaining MLOpspipelines.

3. Experience in Cloud computing infrastructures like AWS Sagemaker or Azure ML for implementing ML solutions is preferred.

4. Exposure to Docker, Kubernetes

Hands-on knowledge in machine learning, deep learning, TensorFlow, Python, NLP 2. Stay up to date on the latest AI emergences relevant to the business domain. 3. Conduct research and development processes for AI strategies. 4. Experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. 5. Experience with transformer models such as BERT, GPT, RoBERTa, etc, and a solid understanding of their underlying principles is a plus

Good-to-Have 1. Have knowledge of software development methodologies, such as Agile or Scrum 2. Have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. 3. Have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face 4. Ensure the quality of code and applications through testing, peer review, and code analysis. 5. Root cause analysis and bugs correction 6. Familiarity with version control systems, preferably Git. 7. Experience with building or maintaining cloud-native applications. 8. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is Plus

SN Role descriptions / Expectations from the Role

1 Design, Develop and configure GenAI applications to meet the business requirements.

2 Optimizing existing generative AI models for improved performance, scalability, and efficiency

3 Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation

Job Overview

We are seeking an agile AI Engineer with a strong focus on both AI engineering and SaaS product development in a 0-1

product environment. This role is perfect for a candidate skilled in building and iterating quickly, embracing a fail fast

approach to bring innovative AI solutions to market rapidly. You will be responsible for designing, developing, and

deploying SaaS products using advanced Large Language Models (LLMs) such as Meta, Azure OpenAI, Claude, and Mistral,

while ensuring secure, scalable, and high-performance architecture. Your ability to adapt, iterate, and deliver in fast-

paced environments is critical.

Responsibilities

 Lead the design, development, and deployment of SaaS products leveraging LLMs, including platforms

like Meta, Azure OpenAI, Claude, and Mistral.

 Support product lifecycle, from conceptualization to deployment, ensuring seamless integration of AI

models with business requirements and user needs.

 Build secure, scalable, and efficient SaaS products that embody robust data management and comply

with security and governance standards.

 Collaborate closely with product management, and other stakeholders to align AI-driven SaaS solutions

with business strategies and customer expectations.

 Fine-tune AI models using custom instructions to tailor them to specific use cases and optimize

performance through techniques like quantization and model tuning.

 Architect AI deployment strategies using cloud-agnostic platforms (AWS, Azure, Google Cloud), ensuring

cost optimization while maintaining performance and scalability.

 Apply retrieval-augmented generation (RAG) techniques to build AI models that provide contextually

accurate and relevant outputs.

 Build the integration of APIs and third-party services into the SaaS ecosystem, ensuring robust and

flexible product architecture.

 Monitor product performance post-launch, iterating and improving models and infrastructure to

enhance user experience and scalability.

 Stay current with AI advancements, SaaS development trends, and cloud technology to apply innovative

solutions in product development.

Qualifications

 Bachelor’s degree or equivalent in Information Systems, Computer Science, or related fields.

 6+ years of experience in product development, with at least 2 years focused on AI-based SaaS

products.

 Demonstrated experience in leading the development of SaaS products, from ideation to deployment,

with a focus on AI-driven features.

 Hands-on experience with LLMs (Meta, Azure OpenAI, Claude, Mistral) and SaaS platforms.

 Proven ability to build secure, scalable, and compliant SaaS solutions, integrating AI with cloud-based

services (AWS, Azure, Google Cloud).

 Strong experience with RAG model techniques and fine-tuning AI models for business-specific needs.

 Proficiency in AI engineering, including machine learning algorithms, deep learning architectures (e.g.,

CNNs, RNNs, Transformers), and integrating models into SaaS environments.

 Solid understanding of SaaS product lifecycle management, including customer-focused design,

product-market fit, and post-launch optimization.

 Excellent communication and collaboration skills, with the ability to work cross-functionally and drive

SaaS product success.

 Knowledge of cost-optimized AI deployment and cloud infrastructure, focusing on scalability and

performance.

Technical Skills – Must have  

 Lead the design and development of AI-driven test automation frameworks and solutions.

 Collaborate with stakeholders (e.g., product managers, developers, data scientists) to understand testing requirements and identify areas where AI automation can be effectively implemented.

 Develop and implement test automation strategies for AI-based systems, encompassing various aspects like data generation, model testing, and performance evaluation.

 Evaluate and select appropriate tools and technologies for AI test automation, including AI frameworks, testing tools, and automation platforms.

 Define and implement best practices for AI test automation, covering areas like code standards, test case design, test data management, and ethical considerations.

 Lead and mentor a team of test automation engineers in designing, developing, and executing AI test automation solutions.

 Collaborate with development teams to ensure the testability of AI models and systems, providing guidance and feedback throughout the development lifecycle.

 Analyze test results and identify areas for improvement in the AI automation process, continuously optimizing testing effectiveness and efficiency.

 Stay up-to-date with the latest advancements and trends in AI and automation technologies, actively adapting and implementing new knowledge to enhance testing capabilities.

 Knowledge in Generative AI and Conversational AI for implementation in test automation strategies is highly desirable.

 Proficiency in programming languages commonly used in AI, such as Python, Java, or R.

 Knowledge on AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.

 Familiarity with testing methodologies and practices, including Agile and DevOps.

 Working experience on Python/Java and Selenium also knowledge in prompt engineering.

Key Responsibilities

• Develop and maintain backend services and APIs using Java (Spring Boot preferred).
• Integrate Large Language Models (LLMs) and Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into applications.
• Collaborate with data scientists to build data pipelines and enable intelligent application features.
• Design scalable systems to support AI model inference and deployment.
• Work with cloud platforms (AWS, GCP, or Azure) for deploying AI-driven services.
• Write clean, maintainable, and well-tested code.
• Participate in code reviews and technical discussions.

Required Skills

• 3–5 years of experience in Java development (preferably with Spring Boot).
• Experience working with RESTful APIs, microservices, and cloud-based deployments.
• Exposure to LLMs, NLP, or GenAI tools (OpenAI, Cohere, Hugging Face, LangChain, etc.).
• Familiarity with Python for data science/ML integration is a plus.
• Good understanding of software engineering best practices (CI/CD, testing, etc.).
• Ability to work collaboratively in cross-functional teams.

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

Key Responsibilities

• Experience working with python, LLM, Deep Learning, NLP, etc..
• Utilize GitHub for version control, including pushing and pulling code updates.
• Work with Hugging Face and OpenAI platforms for deploying models and exploring open-source AI models.
• Engage in prompt engineering and the fine-tuning process of AI models.

Requirements

• Proficiency in Python programming.
• Experience with GitHub and version control workflows.
• Familiarity with AI platforms such as Hugging Face and OpenAI.
• Understanding of prompt engineering and model fine-tuning.
• Excellent problem-solving abilities and a keen interest in AI technology.

Desired Competencies (Technical/Behavioral Competency)

Must-Have

1. Experience in working with various ML libraries and packages like Scikit learn, Numpy, Pandas, Tensorflow, Matplotlib, Caffe, etc.
2. Deep Learning Frameworks: PyTorch, spaCy, Keras
3. Deep Learning Architectures: LSTM, CNN, Self-Attention and Transformers
4. Experience in working with Image processing, computer vision is must
5. Designing data science applications, Large Language Models(LLM) , Generative Pre-trained Transformers (GPT), generative AI techniques, Natural Language Processing (NLP), machine learning techniques, Python, Jupyter Notebook, common data science packages (tensorflow, scikit-learn,kerasetc.,.) , LangChain, Flask,FastAPI, prompt engineering.
6. Programming experience in Python
7. Strong written and verbal communications
8. Excellent interpersonal and collaboration skills.

Role descriptions / Expectations from the Role

Design and implement scalable and efficient data architectures to support generative AI workflows.

Fine tune and optimize large language models (LLM) for generative AI, conduct performance evaluation and benchmarking for LLMs and machine learning models

Apply prompt engineer techniques as required by the use case

Collaborate with research and development teams to build large language models for generative AI use cases, plan and breakdown of larger data science tasks to lower-level tasks

Lead junior data engineers on tasks such as design data pipelines, dataset creation, and deployment, use data visualization tools, machine learning techniques, natural language processing , feature engineering, deep learning , statistical modelling as required by the use case.

Desired Competencies (Technical/Behavioral Competency)

Must-Have

1. Hands-on knowledge in machine learning, deep learning, TensorFlow, Python, NLP
2. Stay up to date on the latest AI emergences relevant to the business domain.
3. Conduct research and development processes for AI strategies.

4.     Experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.

5.     Experience with transformer models such as BERT, GPT, RoBERTa, etc, and a solid understanding of their underlying principles is a plus

Good-to-Have

1. Have knowledge of software development methodologies, such as Agile or Scrum
2. Have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
3. Have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face
4. Ensure the quality of code and applications through testing, peer review, and code analysis.
5. Root cause analysis and bugs correction
6. Familiarity with version control systems, preferably Git.
7. Experience with building or maintaining cloud-native applications.
8. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is Plus

Design and implement scalable and efficient data architectures to support generative AI workflows.

2 Fine tune and optimize large language models (LLM) for generative AI, conduct performance evaluation and benchmarking for LLMs and machine learning models

3 Apply prompt engineer techniques as required by the use case

4 Collaborate with research and development teams to build large language models for generative AI use cases, plan and breakdown of larger data science tasks to lower-level tasks

5 Lead junior data engineers on tasks such as design data pipelines, dataset creation, and deployment, use data visualization tools, machine learning techniques, natural language processing , feature engineering, deep learning , statistical modelling as required by the use case.

Head of the Department

AI and Data Science

12 to 15 years of Experience

Salary negotiable for immediate Joiners

hrkiteatkgkitedotacdotin

Key Responsibilities

🧪 AI/ML Research & Development

• Develop AI models to identify learning difficulty patterns based on multi-domain assessments.
• Train models to classify LD categories (e.g., dyslexia, dysgraphia) from scoring + qualitative inputs.
• Build recommendation logic for intervention strategies based on child profiles and educator feedback.

📊 Data Processing & Pipeline

• Design data pipelines to preprocess structured and semi-structured data (scores, observations, logs).
• Work with educator-generated reports and build logic to convert qualitative insights into ML-readable formats.

🔎 Model Evaluation & Iteration

• Perform evaluation using accuracy, recall, precision; but also focus on interpretability and ethical AI.
• Use techniques like SHAP, attention weights, or decision trees for explainability in recommendations.

🤝 Collaboration & Integration

• Work closely with frontend/backend teams to integrate AI insights into the assessment tool UI.
• Sync with special educators to validate model predictions and continuously improve the output quality.

Job Title : Senior Backend Engineer – Java, AI & Automation

Experience : 4+ Years

Location : Any Cognizant location (India)

Work Mode : Hybrid

Interview Rounds :

1. Virtual
2. Face-to-Face (In-person)

Job Description :

Join our Backend Engineering team to design and maintain services on the Intuit Data Exchange (IDX) platform.

You'll work on scalable backend systems powering millions of daily transactions across Intuit products.

Key Qualifications :

• 4+ years of backend development experience.
• Strong in Java, Spring framework.
• Experience with microservices, databases, and web applications.
• Proficient in AWS and cloud-based systems.
• Exposure to AI and automation tools (Workato preferred).
• Python development experience.
• Strong communication skills.
• Comfortable with occasional US shift overlap.

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.

Mon-fri role, In office, with excellent perks and benefits!

Position Overview

We are seeking a Software Architect to lead the design and development of high-performance robotics and AI software stacks utilizing NVIDIA technologies. This role will focus on defining scalable, modular, and efficient architectures for robot perception, planning, simulation, and embedded AI applications. You will collaborate with cross-functional teams to build next-generation autonomous systems 9

Key Responsibilities:

1. System Architecture & Design

● Define scalable software architectures for robotics perception, navigation, and AI-driven decision-making.

● Design modular and reusable frameworks that leverage NVIDIA’s Jetson, Isaac ROS, Omniverse, and CUDA ecosystems.

● Establish best practices for real-time computing, GPU acceleration, and edge AI inference.

2. Perception & AI Integration

● Architect sensor fusion pipelines using LIDAR, cameras, IMUs, and radar with DeepStream, TensorRT, and ROS2.

● Optimize computer vision, SLAM, and deep learning models for edge deployment on Jetson Orin and Xavier.

● Ensure efficient GPU-accelerated AI inference for real-time robotics applications.

3. Embedded & Real-Time Systems

● Design high-performance embedded software stacks for real-time robotic control and autonomy.

● Utilize NVIDIA CUDA, cuDNN, and TensorRT to accelerate AI model execution on Jetson platforms.

● Develop robust middleware frameworks to support real-time robotics applications in ROS2 and Isaac SDK.

4. Robotics Simulation & Digital Twins

● Define architectures for robotic simulation environments using NVIDIA Isaac Sim & Omniverse.

● Leverage synthetic data generation (Omniverse Replicator) for training AI models.

● Optimize sim-to-real transfer learning for AI-driven robotic behaviors.

5. Navigation & Motion Planning

● Architect GPU-accelerated motion planning and SLAM pipelines for autonomous robots.

● Optimize path planning, localization, and multi-agent coordination using Isaac ROS Navigation.

● Implement reinforcement learning-based policies using Isaac Gym.

6. Performance Optimization & Scalability

● Ensure low-latency AI inference and real-time execution of robotics applications.

● Optimize CUDA kernels and parallel processing pipelines for NVIDIA hardware.

● Develop benchmarking and profiling tools to measure software performance on edge AI devices.

Required Qualifications:

● Master’s or Ph.D. in Computer Science, Robotics, AI, or Embedded Systems.

● Extensive experience (7+ years) in software development, with at least 3-5 years focused on architecture and system design, especially for robotics or embedded systems.

● Expertise in CUDA, TensorRT, DeepStream, PyTorch, TensorFlow, and ROS2.

● Experience in NVIDIA Jetson platforms, Isaac SDK, and GPU-accelerated AI.

● Proficiency in programming languages such as C++, Python, or similar, with deep understanding of low-level and high-level design principles.

● Strong background in robotic perception, planning, and real-time control.

● Experience with cloud-edge AI deployment and scalable architectures.

Preferred Qualifications

● Hands-on experience with NVIDIA DRIVE, NVIDIA Omniverse, and Isaac Gym

● Knowledge of robot kinematics, control systems, and reinforcement learning

● Expertise in distributed computing, containerization (Docker), and cloud robotics

● Familiarity with automotive, industrial automation, or warehouse robotics

● Experience designing architectures for autonomous systems or multi-robot systems.

● Familiarity with cloud-based solutions, edge computing, or distributed computing for robotics

● Experience with microservices or service-oriented architecture (SOA)

● Knowledge of machine learning and AI integration within robotic systems

● Knowledge of testing on edge devices with HIL and simulations (Isaac Sim, Gazebo, V-REP etc.)

Hey 👋

We’re hiring an AI Automation Generalist in Bangalore (full-time, in-person preferred, remote might work)

- You’ll be building AI agents and workflows using whatever tools you love (Gumloop, Lindy, or your own secret sauce)

- If you’re a hands-on dev/ex-founder/AI tinkerer who’s shipped real stuff (even if it crashed once or twice), hit us up.

- Pay's good, plus room to grow. - We’re already working with some names like Ben’s Bites and Lindy AI (if you're one of them, you'd know)

Fill out this form if you're legit: https://tally.so/r/w7pJ2z

Overview

C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.

C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.

Global offices

United States | Canada | United Kingdom | United Arab of Emirates | India

Job Responsibilities

• Solve complex business problems by applying NLP, CV and Machine Learning techniques. Integrate these algorithms into multiple product and solution offerings.
• Conduct research to advance the field of generative AI, including staying up-to-date with the latest developments and techniques. Develop new generative models or improve existing ones.
• Build cognitive capabilities in multiple product and solution offerings.
• Systemic study of latest research and industry developments in Artificial Intelligence. Leverage these developments to solve real-world business problems.
• Envisage next-generation challenges and recommend solutions to solve them.
• Facilitate the IP generation process in the organization and works towards patenting of inventions.

Requirements & Qualifications:

• B.E/B.TECH/MS/M.TECH/MCA.
• Knowledge / Competency / Skills: - Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP).
• Knowledge of various Generative AI models and Prompt Engineering.
• Hands-on coding skills in Python, at least 4 years’ python experience. (Preferred) Strong NLP skills.

C5i is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations.

Key Responsibilities:

• Develop and maintain scalable Python applications for AI/ML projects.
• Design, train, and evaluate machine learning models for classification, regression, NLP, computer vision, or recommendation systems.
• Collaborate with data scientists, ML engineers, and software developers to integrate models into production systems.
• Optimize model performance and ensure low-latency inference in real-time environments.
• Work with large datasets to perform data cleaning, feature engineering, and data transformation.
• Stay current with new developments in machine learning frameworks and Python libraries.
• Write clean, testable, and efficient code following best practices.
• Develop RESTful APIs and deploy ML models via cloud or container-based solutions (e.g., AWS, Docker, Kubernetes).

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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

Algorithm Development: Design and implement algorithms, neural networks, and other machine learning techniques to 

simulate human intelligence process 

∙Model Creation: Develop and validate algorithms, neural networks, and other machine learning models. 

∙Generative AI: Specialize in generative AI, which involves creating AI systems that autonomously generate content such as 

text, images, and music. 

∙Machine Learning: Leverage your expertise in machine learning to train models on large datasets and optimize them for 

creative content generation. 

∙Natural Language Processing (NLP): Apply NLP techniques for text generation projects, including text parsing, sentiment 

analysis, and the use of transformer models like GPT. 

∙Data Management: Handle data pre-processing, augmentation, and synthetic data generation. 

Hard Skills: 

∙Advanced Programming: Proficiency in programming languages such as Python, along with AI-centric libraries like 

TensorFlow, PyTorch, and Keras. 

∙Generative Models: Expertise in generative models, including Generative Adversarial Networks (GANs) and Variational 

Autoencoders (VAEs). 

∙NLP: Familiarity with NLP techniques for text generation. 

∙Data Management: Knowledge of data pre-processing, augmentation, and synthetic data generation. 

Hard Skills: 

∙Creativity: Ability to think creatively and solve complex, creative challenges using AI. 

∙Collaboration: Work effectively with researchers, engineers, and other team members. 

∙Continuous Learning: Stay updated with evolving AI technologies and applications. 

Certifications Needed:  

∙Bachelor’s or master’s degree in computer science, Artificial Intelligence, or related fields. 

∙Proven experience in machine learning, generative AI, 

Data Scientist is responsible to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products. Your primary focus will be in applying Machine Learning and Generative AI techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. The ideal candidate should have a prior background in Generative AI, NLP (Natural Language Processing), and Computer Vision techniques. Additionally, experience in working with current state of the art Large Language Models (LLMs), and Computer Vision algorithms.

Job Responsibilities:

»    Building models using best in AI/ML technology.

»    Leveraging your expertise in Generative AI, Computer Vision, Python, Machine Learning, and Data Science to develop cutting-edge solutions for our products.

»    Integrating NLP techniques, and utilizing LLM's in our products.

»    Training/fine tuning models with new/modified training dataset.

»    Selecting features, building and optimizing classifiers using machine learning techniques.

»    Conducting data analysis, curation, preprocessing, modelling, and post-processing to drive data-driven decision-making.

»    Enhancing data collection procedures to include information that is relevant for building analytic systems

»    Working understanding of cloud platforms (AWS).

»    Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.

»    Involving in R&D activities to explore the latest advancements in AI technologies, frameworks, and tools.

»    Documenting project requirements, methodologies, and outcomes for stakeholders.

Technical skills

Mandatory

»    Minimum of 5 years  of experience as Machine Learning Researcher or Data Scientist.

»    Master's degree or Ph.D. (preferable) in Computer Science, Data Science, or a related field.

»    Should have knowledge and experience in working with Deep Learning projects using CNN, Transformers, Encoder and decoder architectures.

»    Working experience with LLM's (Large Language Models) and their applications (For e.g., tuning embedding models, data curation, prompt engineering, LoRA, etc.).

»    Familiarity with LLM Agents and related frameworks.

»    Good programming skills in Python and experience with relevant libraries and frameworks (e.g., PyTorch, and TensorFlow).

»    Good applied statistics skills, such as distributions, statistical testing, regression, etc.

»    Excellent understanding of machine learning and computer vision based techniques and algorithms.

»    Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

»    Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Nice to have

»    Exposure to financial research domain

»    Experience with JIRA, Confluence

»    Understanding of scrum and Agile methodologies

»    Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Experience with data visualization tools, such as Grafana, GGplot, etc.

AI Product Manager

About Us:

At Formi, we’re not just riding the wave of innovation—we’re the ones creating it. Our AI-powered solutions are revolutionizing how businesses operate, pushing boundaries, and opening up new realms of possibility. We’re building the future of intelligent operations, and whether you join us or not, we’re going to change the game. But with you on board? We’ll do it faster.

About the Role:

We’re looking for a Product Manager who’s not afraid to take risks, who questions everything, and who can transform bold, crazy ideas into products that reshape entire industries. You won’t just manage; you’ll build, you’ll innovate, and you’ll lead. The best ideas? They come from people who think differently. If that’s you, let’s get started.

Your Mission (If You’re Ready for It):

We’re not hiring you for the usual. This is not a role for anyone looking to play it safe. We need someone who’s ready to challenge the status quo and make radical changes. You’ll be building the future with us, so expect to be pushed—and to push back. We’re not here to settle for less.

Key Responsibilities:

• Vision and Strategy: Forget business as usual. Your job is to craft strategies that disrupt markets and create competitive advantages that others can only dream of.
• Cross-Functional Leadership: You’ll lead from the front, working closely with engineering, sales, and marketing to turn ideas into reality. From concept to launch, you’re the one guiding the ship.
• Customer-Centric Innovation: Don’t just listen to customers—understand them at a deeper level. Then use that understanding to create products that make people say, “Why didn’t anyone think of this sooner?”
• End-to-End Ownership: You own it all. From the first spark of an idea to delivering a product that changes the game.
• Data-Driven Decision Making: We don’t guess here. Use data, trends, and insights to make decisions that propel our products forward. Let the numbers tell the story.
• Stakeholder Communication: Communicate like a visionary. Show the people around you the path forward and how it all ties together.
• Continuous Innovation: Complacency is the enemy. Keep pushing the envelope, iterating, and improving so we stay miles ahead of the competition.

Who Should Apply?

• You’re not just a thinker, you’re a doer. You thrive in fast-paced, innovative environments where the status quo is meant to be broken.
• You’ve got at least 2+ years of experience in product management, preferably in tech or SaaS, and you’ve led teams to deliver products that actually make an impact.
• You’re data-obsessed. Your decisions are backed by analytics, and you know how to measure success.
• You’re not just a communicator; you’re an inspirer. You can articulate a vision so clearly, people can’t help but rally behind it.

This Role is NOT for You If:

• You’re just looking for another job.
• You think “good enough” is, well, good enough.
• You’d rather play it safe than take bold, calculated risks.

Why Join Us?

• Impact: You’ll be part of a company that’s literally changing how businesses operate. Your work will have a direct impact on the future of creating a surplus economy.
• Growth: We’re scaling fast, and with that comes insane opportunities for personal and professional development.
• Culture: We move fast, we break things (intelligently), and we value big ideas. We’re building something massive, and you’ll be a key part of it.

Are you ready to disrupt entire industries and make a dent in the universe?

Apply now and let’s build the future together.

Company: Optimum Solutions

About the company: Optimum solutions is a leader in a sheet metal industry, provides sheet metal solutions to sheet metal fabricators with a proven track record of reliable product delivery. Starting from tools through software, machines, we are one stop shop for all your technology needs.

Role Overview:

• Creating and managing database schemas that represent and support business processes, Hands-on experience in any SQL queries and Database server wrt managing deployment.
• Implementing automated testing platforms, unit tests, and CICD Pipeline
• Proficient understanding of code versioning tools, such as GitHub, Bitbucket, ADO
• Understanding of container platform, such as Docker

Job Description

• We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework.
• Your primary focus will be working the Product and Usecase delivery team to do various prompting for different Gen-AI use cases
• You will be responsible for prompting and building use case Pipelines
• Perform the Evaluation of all the Gen-AI features and Usecase pipeline

Position: AI ML Engineer

Location: Chennai (Preference) and Bangalore

Minimum Qualification:  Bachelor's degree in computer science, Software Engineering, Data Science, or a related field.

Experience:  4-6 years

CTC: 16.5 - 17 LPA

Employment Type:  Full Time

Key Responsibilities:

• Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various Gen-AI base models
• Design and develop prompts suiting project needs
• Lead and manage team of prompt engineers
• Stakeholder management across business and domains as required for the projects
• Evaluating base models and benchmarking performance
• Implement prompt gaurdrails to prevent attacks like prompt injection, jail braking and prompt leaking
•  Develop, deploy and maintain auto prompt solutions
• Design and implement minimum design standards for every use case involving prompt engineering

Skills and Qualifications

• Strong proficiency with Python, DJANGO framework and REGEX
• Good understanding of Machine learning framework Pytorch and Tensorflow
• Knowledge of Generative AI and RAG Pipeline
• Good in microservice design pattern and developing scalable application.
• Ability to build and consume REST API
• Fine tune and perform code optimization for better performance.
• Strong understanding on OOP and design thinking
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Good understanding of server-side templating languages
• Understanding accessibility and security compliance, user authentication and authorization between multiple systems, servers, and environments
• Integration of APIs, multiple data sources and databases into one system
• Good knowledge in API Gateways and proxies, such as WSO2, KONG, nginx, Apache HTTP Server.
• Understanding fundamental design principles behind a scalable and distributed application
• Good working knowledge on Microservices architecture, behaviour, dependencies, scalability etc.
• Experience in deploying on Cloud platform like Azure or AWS
• Familiar and working experience with DevOps tools like Azure DEVOPS, Ansible, Jenkins, Terraform

We are looking for an AI Architect to join our team.

Responsibilities

• Architecture Design: Develop scalable and efficient AI architectures.
• Technical Guidance: Provide expertise and guidance to development teams.
• System Integration: Collaborate to integrate AI technologies into systems.
• Performance Optimization: Optimize AI models and infrastructure.
• Data Management: Manage large datasets for AI training.
• Ethical Considerations: Address ethical and privacy concerns.
• Technical Documentation: Create comprehensive technical documentation.
• Collaboration and Communication: Collaborate with stakeholders.
• Problem-Solving: Analyze and troubleshoot technical issues.
• Continuous Learning: Stay updated with AI advancements.

Requirements

• Education: Bachelors or masters degree in computer science or related field.
• Experience: 8+ years of experience with 3+ years as an architect. Extensive experience in Gen AI and LLM technologies, including exposure to open source LLMs is a must.
• Technical Expertise: Proficiency in NLP, machine learning, and deep learning. Familiarity with open source LLM frameworks like GPT-3/4 or similar models.
• Architectural Design: Ability to design scalable and efficient AI architectures.
• System Integration: Skill in integrating AI technologies, including open source LLMs, into new or existing systems.
• Performance Optimization: Experience in optimizing AI models and systems, including open source LLMs, for efficiency.
• Data Management: Knowledge of handling large datasets for Gen AI and LLM training, including open source LLMs.
• Ethical Considerations: Understanding of AI ethics and privacy concerns, particularly relevant to open source LLMs.
• Collaboration and Communication: Strong teamwork and communication skills.
• Problem-Solving: Aptitude for troubleshooting and resolving technical challenges related to open source LLMs.
• Continuous Learning: Willingness to stay updated with advancements in Gen AI, LLMs, and open source LLM technologies.

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

We are looking for a passionate technologist with experience in building SaaS tech experience and products for a once-in-a-lifetime opportunity to lead Engineering for an AI powered Financial Operations platform to seamlessly monitor, optimize, reconcile and forecast cashflow with ease.

Background

An incredible rare opportunity for a VP Engineering to join a top tier incubated VC SaaS startup and outstanding management team. Product is currently in the build stage with a solid design partners pipeline of ~$250K and soon raising a pre-seed/seed round with marquee investors.

Responsibilities

• Develop and implement the company's technical strategy and roadmap, ensuring that it aligns with the overall business objectives and is scalable, reliable, and secure.

• Manage and optimize the company's technical resources, including staffing, software, hardware, and infrastructure, to ensure that they are being used effectively and efficiently.

• Work with the founding team and other executives to identify opportunities for innovation and new technology solutions, and evaluate the feasibility and impact of these solutions on the business.

• Lead the engineering function in developing and deploying high-quality software products and solutions, ensuring that they meet or exceed customer requirements and industry standards.

• Analyze and evaluate technical data and metrics, identifying areas for improvement and implementing changes to drive efficiency and effectiveness.

• Ensure that the company is in compliance with all legal and regulatory requirements, including data privacy and security regulations.

Eligibility criteria:

• 6+ years of experience in developing scalable SaaS products.

• Strong technical background with 6+ years of experience with a strong focus on SaaS, AI, and finance software.

• Prior experience in leadership roles.

• Entrepreneurial mindset, with a strong desire to innovate and grow a startup from the ground up.

Perks:

• Vested Equity.

• Ownership in the company.

• Build alongside passionate and smart individuals.

Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!

As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.

Responsibilities:

1. AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
2. Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
3. Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
4. Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
5. Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
6. Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
7. Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
8. Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.

Requirements

1. Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
2. Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
3. Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
4. Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
5. Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
6. Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
7. Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.

If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!

Responsibilities

• Product Strategy: Develop and communicate product vision, strategy, and roadmap.
• Requirement Gathering: Identify and prioritize product requirements through user research.
• Project Planning and Management: Define project goals, milestones, and manage timelines.
• Data Management: Oversee data collection, storage, and quality assurance.
• Machine Learning Models: Collaborate on AI algorithm development and model training.
• User Experience (UX): Advocate for intuitive and user-friendly AI product interfaces.
• Product Launch and Adoption: Plan and execute successful product launches.
• Performance Monitoring and Improvement: Track metrics and propose enhancements.
• Stakeholder Communication: Facilitate communication between technical and non-technical teams.
• Market and Industry Awareness: Stay informed on AI trends and regulatory requirements.

Requirements

• Education: Bachelor’s or master’s degree in computer science, engineering, data science, or related fields with 5+ years’ experience as a product manager and at least 2 years in AI domain.
• Technical Knowledge: Strong understanding of AI, machine learning, and data analysis.
• Product Management Experience: Previous experience in product management or related roles.
• AI Domain Expertise: Proficiency in AI applications and ethical considerations.
• Analytical and Problem-Solving Skills: Ability to analyse complex data and solve problems.
• Communication and Collaboration: Excellent interpersonal and communication skills.
• Leadership and Project Management: Strong leadership and project management abilities.
• User-Centric Mindset: Understanding of user needs and usability testing skills.
• Business Acumen: Knowledge of business principles and market dynamics.
• Adaptability and Learning Agility: Openness to new technologies and continuous learning.

DATA SCIENTIST-MACHINE LEARNING                           

GormalOne LLP. Mumbai IN

Job Description

GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.

GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.

Location: Bangalore

Roles & Responsibilities

• Individual contributor
• Developing and maintaining an end-to-end data science project
• Deploying scalable applications on different platform
• Ability to analyze and enhance the efficiency of existing products

What are we looking for?

• 3 to 5 Years of experience as a Data Scientist
• Skilled in Data Analysis, EDA, Model Building, and Analysis.
• Basic coding skills in Python
• Decent knowledge of Statistics
• Creating pipelines for ETL and ML models.
• Experience in the operationalization of ML models
• Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
• Hands-on experience in Keras, PyTorch or Tensorflow

Basic Qualifications

• Tech/BE in Computer Science or Information Technology
• Certification in AI, ML, or Data Science is preferred.
• Master/Ph.D. in a relevant field is preferred.

Preferred Requirements

• Exp in tools and packages like Tensorflow, MLFlow, Airflow
• Exp in object detection techniques like YOLO
• Exposure to cloud technologies
• Operationalization of ML models
• Good understanding and exposure to MLOps

Kindly note: Salary shall be commensurate with qualifications and experience

Job Description –Sr. Python Developer

Job Brief

The job requires Python experience as well as expertise with AI/ML. This Developer is expected to have strong technical skills, to work closely with the other team members in development and managing key projects. Ability to work on a small team with minimal supervision, Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality

Job Requirement

• 4 plus Years of Python relevant experience 
• Good at communication skills and Email etiquette
• Quick learner and should be a team player
• Experience in working on python framework
• Experience in Developing With Python & MySQL on LAMP/LEMP Stack
• Experience in Developing an MVC Application with Python
• Experience with Threading, Multithreading and pipelines
• Experience in Creating RESTful API’s With Python in JSON, XMLs
• Experience in Designing Relational Database using MySQL And Writing Raw SQL Queries
• Experience with GitHub Version Control
• Ability of Write Custom Python Code
• Excellent working knowledge of AI/ML based application
• Experience in OpenCV/TensorFlow/ SimpleCV/PyTorch
• Experience working in agile software development methodology
• Understanding of end-to-end ML project lifecycle
• Understanding of cross platform OS systems like Windows, Linux or UNIX with hands-on working experience

Responsibilities

• Participate in the entire development lifecycle, from planning through implementation, documentation, testing, and deployment, all the way to monitoring.
• Produce high quality, maintainable code with great test coverage
• Integration of user-facing elements developed by front-end developers
• Build efficient, testable, and reusable Python/AI/ML modules
• Solve complex performance problems and architectural challenges
• Help with designing and architecting the product
• Design and develop the web application modules or APIs
• Troubleshoot and debug applications.

Introduction

http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis. 

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting.  We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls

Your Roles and Responsibilities

Synapsica is looking for a Principal AI Researcher to lead and drive AI based research and development efforts. Ideal candidate should have extensive experience in Computer Vision and AI Research, either through studies or industrial R&D projects and should be excited to work on advanced exploratory research and development projects in computer vision and machine learning to create the next generation of advanced radiology solutions.

The role involves computer vision tasks including development customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.), and traditional Image Processing (OpenCV, etc.). The role is research-focused and would involve going through and implementing existing research papers, deep dive of problem analysis, frequent review of results, generating new ideas, building new models from scratch, publishing papers, automating and optimizing key processes. The role will span from real-world data handling to the most advanced methods such as transfer learning, generative models, reinforcement learning, etc., with a focus on understanding quickly and experimenting even faster. Suitable candidate will collaborate closely both with the medical research team, software developers and AI research scientists. The candidate must be creative, ask questions, and be comfortable challenging the status quo. The position is based in our Bangalore office.

Primary Responsibilities

• Interface between product managers and engineers to design, build, and deliver AI models and capabilities for our spine products.
• Formulate and design AI capabilities of our stack with special focus on computer vision.
• Strategize end-to-end model training flow including data annotation, model experiments, model optimizations, model deployment and relevant automations
• Lead teams, engineers, and scientists to envision and build new research capabilities and ensure delivery of our product roadmap.
• Organize regular reviews and discussions.
• Keep the team up-to-date with latest industrial and research updates.
• Publish research and clinical validation papers

Requirements

• 6+ years of relevant experience in solving complex real-world problems at scale using computer vision-based deep learning.
• Prior experience in leading and managing a team.
• Strong problem-solving ability
• Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks).
• Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc
• Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
• Background in publishing research papers and/or patents 
• Computer Vision and AI Research background in medical domain will be a plus
• Experience of GPU/DSP/other Multi-core architecture programming
• Effective communication with other project members and project stakeholders
• Detail-oriented, eager to learn, acquire new skills
• Prior Project Management and Team Leadership experience
• Ability to plan work and meet the deadline

• Writing efficient, reusable, testable, and scalable code
• Understanding, analyzing, and implementing – Business needs, feature modification requests, conversion into software components
• Integration of user-oriented elements into different applications, data storage solutions
• Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications
• Designing and implementing – High availability and low latency applications, data protection and security features
• Performance tuning and automation of application
• Working with Python libraries like Pandas, NumPy, etc.
• Creating predictive models for AI and ML-based features
• Keeping abreast with the latest technology and trends
• Fine-tune and develop AI/ML-based algorithms based on results

Good proficiency in,

• Python frameworks like Django, etc.
• Web frameworks and RESTful APIs
• Core Python fundamentals and programming
• Code packaging, release, and deployment
• Database knowledge
• Circles, conditional and control statements
• Object-relational mapping
• Code versioning tools like Git, Bitbucket

Fundamental understanding of,

• Front-end technologies like JS, CSS3 and HTML5
• AI, ML, Deep Learning, Version Control, Neural networking
• Data visualization, statistics, data analytics
• Design principles that are executable for a scalable app
• Creating predictive models
• Libraries like Tensorflow, Scikit-learn, etc
• Multi-process architecture
• Basic knowledge about Object Relational Mapper libraries
• Ability to integrate databases and various data sources into a unified system
• Basic knowledge about Object Relational Mapper libraries
• Ability to integrate databases and various data sources into a unified system

• Strong technical skills on UiPath, and end to end UiPath offerings
• Understanding of workflow-based logic and hands on experience with RE-framework.
• Excellent communication skill is a must
• Basic programming/Scripting knowledge on VBA/VB/java/C# script is must
• Knowledge in cognitive automation with OCR tools, AI/ML skills is a plus.
• Excellent software development background with any of the following (C#, C++, Java, .NET) is a plus
• Experience working on other RPA tools/vendors is a plus
• Experience in the field of Bot development
• UiPath RPA developer advanced certificate must.

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with computer vision and AI technologies around image and video analysis.  

You will be responsible for:

• Developing computer vision algorithms to detect key moments within popular online games
• Leveraging baseline technologies such as TensorFlow, OpenCV, and others -- and building models on top of them
• Building neural network (CNN) architectures for image and video analysis, as it pertains to popular games
• Specifying exact requirements for training data sets, and working with analysts to create the data sets
• Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment
• Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation

You should have the following qualities:

• Solid understanding of computer vision and AI frameworks and algorithms, especially pertaining to image and video analysis
• Experience using Python, TensorFlow, OpenCV and other computer vision tools
• Understand common computer vision object detection models in use today e.g. Inception, R-CNN, Yolo, MobileNet SSD, etc.
• Demonstrated understanding of various algorithms for image and video analysis, such as CNNs, LSTM for motion and inter-frame analysis, and others
• Familiarity with AWS environments
• Excited about working in a fast-changing startup environment
• Willingness to learn rapidly on the job, try different things, and deliver results
• Ideally a gamer or someone interested in watching gaming content online

Skills:

Machine Learning, Computer Vision, Image Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python

Seniority: We are open to junior or senior engineers. We're more interested in the proper skillsets.

Salary: Will be commensurate with experience. 

Who Should Apply:

If you have the right experience, regardless of your seniority, please apply. However, if you don't have AI or computer vision experience, please do not apply.

Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.

KEY RESPONSIBILITIES OF THE POSITION :

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
• Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
• Should have experience of 2-3 production implementations of machine learning projects.
• Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
• Should developing solutions using python in AI/ML projects
• Should be able to train and build a team of technical developers
• Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to build strong relationships with project stakeholders

Keywords:

• Python
• Artificial Intelligence
• Machine Learning
• AWS
• Django
• NLP

Sr Product Manager / Lead Product Manager – Data Platform

Description:

At Amagi we are looking for a product leader to build world class big data and analytics platform to help our teams in making data driven decisions and to accelerate our business outcomes.

We are looking for someone who is innovative and experienced in end-to-end product management to drive our long-term data and analytics strategy.

The ideal candidate would be responsible for owning product roadmap and KPIs, driving product operational tasks to ensure configurable and scalable solutions.

Primary Responsibilities:

• Lead the product requirements to build real time, highly scalable, low latency data platform.
• Author PRD and define the strategic roadmap.
• Lead the Product design, MVPs and POCs and fast track deliveries
• Collaborate with various functions and design the most effective solutions.
• Understand customer needs and define the data solutions and insights to drive business outcomes
• Define key product performance metrices to drive business and customer outcomes

Basic Qualification

• 12+ years of overall SDLC experience with 7+ years of product management experience in fast paced company.
• Proven experience delivering large scale highly available big data processing systems.
• Knowledge of data pipeline design, data transformation and integration methodologies.
• Technically savvy with experience in big data systems like AWS, RedShift, Athena, Kafka and related technologies
• Demonstrate collaborative approach and ability to work with distributed, cross functional teams.
• Experience in taking products through full life cycle, from proposal to launch
• Strategic thinking capabilities to define the product roadmap and right prioritization of the backlog in line with the long-term vision
• Strong communication and stakeholder management skills with the ability to coordinate across a diverse group of technical and non-technical stakeholders.
• Ability to deal with ambiguity and use data to solve ambiguous problems
• Technical ability to understand and discuss software architecture, product integration, non-functional requirements etc. with the Engineering team.

Preferred Qualification:

• Technically savvy with good understanding of cloud application development.
• Software development experience building Enterprise platforms
• Experience in third-party vendor assessments
• Experience working with AI , ML , Bigdata and analytics tools
• Understanding of regulations such as data privacy, data security and governance

Glance – An InMobi Group Company:

Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!

Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).

What’s the Glance family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

What can we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

What you will be doing?

Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners. 

You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.

Basic Qualifications:

• Five+ years experience working in a Data Science role
• Extensive experience developing and deploying ML models in real world environments
• Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
• Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
• Experience in advanced math and statistics
• Excellent familiarity with command line linux environment
• Able to understand various data structures and common methods in data transformation
• Experience deploying machine learning models and measuring their impact
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Preferred Qualifications

• Experience developing recommendation systems
• Experience developing and deploying deep learning models
• Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
• Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
• Experience with being actively engaged in data science or other research-oriented position
• You would be comfortable collaborating with cross-functional teams.
• Active personal GitHub account.

What you’ll do:

• Will have a unique and rewarding opportunity to shape and design an app with a huge impact on the Automotive industry
• Write highly scalable software in Swift ad Kotlin with a focus on reusability and efficiency
• Work with some of the best people in the industry to build and maintain compelling user experiences
• Working with iOS Frameworks such as AVFoundation/video streaming, CoreML
• Work with open-source multimedia projects, such as FFmpeg

What you’ll bring:

• 5+ years of iOS/Android development.
• Strong background in software engineering with large-scale apps
• Experience with iOS/Android SDKs
• Expert knowledge of XCode/AppCode IDE, build and distribution processes
• Experience writing multi-threaded/asynchronous code
• Creative and innovative problem-solving skills with a passion for new technologies
• Strong team player and ability to work without many directions when needed

Bonus points for:

• B.Sc./M.Sc. in Computer Science or related fields
• Knowledge of C/C++
• Background/experience in AI (e.g. deep learning, computer vision)
• Contributions to community software

Note: We are looking for immediate joiners. Selected/Offered candidates can ready to join within 15 to 30 days of time can apply.  

Role : Sr Data Scientist / Tech Lead – Data Science

Number of positions : 8

Responsibilities

• Lead a team of data scientists, machine learning engineers and big data specialists
• Be the main point of contact for the customers
• Lead data mining and collection procedures
• Ensure data quality and integrity
• Interpret and analyze data problems
• Conceive, plan and prioritize data projects
• Build analytic systems and predictive models
• Test performance of data-driven products
• Visualize data and create reports
• Experiment with new models and techniques
• Align data projects with organizational goals

Requirements (please read carefully)

• Very strong in statistics fundamentals. Not all data is Big Data. The candidate should be able to derive statistical insights from very few data points if required, using traditional statistical methods.
• Msc-Statistics/ Phd.Statistics
• Education – no bar, but preferably from a Statistics academic background (eg MSc-Stats, MSc-Econometrics etc), given the first point
• Strong expertise in Python (any other statistical languages/tools like R, SAS, SPSS etc are just optional, but Python is absolutely essential). If the person is very strong in Python, but has almost nil knowledge in the other statistical tools, he/she will still be considered a good candidate for this role.
• Proven experience as a Data Scientist or similar role, for about 7-8 years
• Solid understanding of machine learning and AI concepts, especially wrt choice of apt candidate algorithms for a use case, and model evaluation.
• Good expertise in writing SQL queries (should not be dependent upon anyone else for pulling in data, joining them, data wrangling etc)
• Knowledge of data management and visualization techniques --- more from a Data Science perspective.
• Should be able to grasp business problems, ask the right questions to better understand the problem breadthwise /depthwise, design apt solutions, and explain that to the business stakeholders.
• Again, the last point above is extremely important --- should be able to identify solutions that can be explained to stakeholders, and furthermore, be able to present them in simple, direct language.

 http://www.altimetrik.com/">http://www.altimetrik.com

https://www.youtube.com/watch?v=3nUs4YxppNE&;feature=emb_rel_end">https://www.youtube.com/watch?v=3nUs4YxppNE&;feature=emb_rel_end

https://www.youtube.com/watch?v=e40r6kJdC8c">https://www.youtube.com/watch?v=e40r6kJdC8c

Job Description

Introduction

Synapsica is a growth stage HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective, while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don’t have to rely on cryptic 2 liners given to them as diagnosis. Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting. We are backed by YCombinator and other investors from India, US and Japan. We are proud to have GE, AIIMS, the Spinal Kinetics as our partners.

 Your Roles and Responsibilities

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.) and traditional Image Processing (OpenCV etc.). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.

Requirements:

• 4+ years of relevant experience in solving complex real-world problems at scale via computer vision based deep learning.
• Strong problem-solving ability
• Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks). 
• Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc 
• Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
• Experience of GPU/DSP/other Multi-core architecture programming
• Effective communication with other project members and project stakeholders
• Detail-oriented, eager to learn, acquire new skills
• Prior Project Management and Team Leadership experience
• Ability to plan work and meet deadlines

• Key Responsibilities : Use cases to support use case analysis E2E, define capabilities, understand the data and model Machine Learning Operations MLOps Azure Machine Learning, Azure Cognitive Services, Azure DevOps, Overall Azure Cloud Experience, Powershell, DSVM, AML Compute / Training Clusters Azure Infrastructure Experience, Python, Big Data Python Scripting 8 Automate ML models deployments,  Manage, monitor, troubleshoot machine learning infrastructure and Setup ML Pipe lines
• Technical Experience : Proven skills experience in Azure AI ML solution design and architecture based solution using Azure Cloud capabilities AML / AKS Proven record of embedding advanced analytical models into business processes Collaborate in multi-functional teams to evaluate business activities, and then develop innovative and effective approaches to tackle teams analytics problems and communicate results bitbucket, Nodejs, PowerBI SQL, Python
• Experience in setting up MLOps framework for AI ML team

MTX Group Inc. is seeking a motivated AI Solution Architect to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The Maverick Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.

Responsibilities:

• Creative translation of business needs into a conceptual, logical and physical architecture design of the solution
• Collaboration with the technical teams needed to deliver the design
• Leading architecture and design competency for the automation technology stack
• Strategic direction for maximizing simplification and re-use lowering overall TCO
• Creation of solutions which adhere to Enterprise Architecture, Development, and Information Risk Management standards and policies
• Collaboration with developers and engineering teams resolving the most challenging tasks ensuring the proposed design is properly implemented.
• Proactively identify and address technical strengths, weaknesses, opportunities and threats across the automation landscape
• Strategy for managing the changes to the architecture (new business needs, technology changes, etc.)
• Explain architecture standards and recommendation to business partners and drive alignment

What you will bring:

• Minimum 5 years of hands-on experience in the IT field, at least 3 years in IT architecture
• Solid experience as solution and platform architect, providing technical leadership and guidance designing enterprise software.
• Proven track record at managing multiple projects in fast paced cross-functional team environment.
• 1+ year year experience working with chatbots is a plus
• 2+ years hands-on experience with Microsoft Azure and Amazon Web Services
• Working knowledge of Machine Learning, techniques, algorithms, natural language processing
• Certifications in multiple cloud platforms is ideal
• 2+ years of experience working in an Agile Scrum / DevOps development methodology.

What we offer:

• Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
• Sum Insured: INR 5,00,000/- 
• Maternity cover upto two children
• Inclusive of COVID-19 Coverage
• Cashless & Reimbursement facility
• Access to free online doctor consultation

• Personal Accident Policy (Disability Insurance) -

• Sum Insured: INR. 25,00,000/- Per Employee
• Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
• Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
• Temporary Total Disability is covered

• An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver  benefit
• Monthly Internet Reimbursement of upto Rs. 1,000 
• Opportunity to pursue Executive Programs/ courses at top universities globally
• Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others

MTX Group Inc. is seeking a motivated Technical Lead - AI to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The Maverick Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.

Responsibilities:

• Extensive research and development of new AI/ML techniques that enables learning

              the semantics of data (images, video, text, audio, speech, etc) 

• Improving the existing ML and DNN models and products through R&D on cutting edge technologies 
• Collaborate with Machine Learning teams to drive innovation of complex and accurate cognitive system 
• Collaborate with Engineering and Core team to drive innovation of scalable ML and AI serving production platforms 
• Create POCs to quickly test a new model architecture and create improvement over an existing methodology 
• Introduce major innovations that can result in better product features and develop strategies and plans required to drive these 
• Lead a team and collaborate with product managers, tech review complex implementations and provide optimisation best practices 

What you will bring:

• 4-6 years of Experience 
• Experience in neural networks, graphical models, reinforcement learning, and natural language processing 
• Experience in Computer Vision techniques and image detection neural network models like semantic segmentation, instance segmentation, object detection, etc 
• In-depth understanding of benchmarking, parallel computing, distributed computing, machine learning, and AI 
• Programming experience in one or more of the following: Python, C, C++, C#, Java, R, and toolkits such as Tensorflow, Keras, PyTorch, Caffe, MxNet, SciPy, SciKit, etc
• Ability to perform research that is justified and guided by business opportunities 
• Demonstrated successful implementation if industry grade AI solutions in the past
• Ability to lead a team of AI engineers in an agile development environment 

What we offer:

• Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
• Sum Insured: INR 5,00,000/- 
• Maternity cover upto two children
• Inclusive of COVID-19 Coverage
• Cashless & Reimbursement facility
• Access to free online doctor consultation

• Personal Accident Policy (Disability Insurance) -

• Sum Insured: INR. 25,00,000/- Per Employee
• Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
• Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
• Temporary Total Disability is covered
• An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver  benefit
• Monthly Internet Reimbursement of upto Rs. 1,000 
• Opportunity to pursue Executive Programs/ courses at top universities globally
• Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others