Machine Learning (ML)Job Description – Machine Learning Expert
Role: Machine Learning Expert
Experience: 6+ Years
Location: Bangalore
Education: B.Tech Degree (Computer Science / Information Technology / Data Science / related fields)
Work Mode: Hybrid – 3 Days Office + 3 Days Work from Home
Interview Mode: Candidate must be willing to attend Face-to-Face (F2F) L2 round at Bangalore location
About the Role
We are seeking a highly skilled Machine Learning Expert with a strong background in building, training, and deploying AI/ML models. The ideal candidate will bring hands-on expertise in designing intelligent systems that leverage advanced algorithms, deep learning, and data-driven insights to solve complex business challenges.
Key Responsibilities
- Develop and implement machine learning and deep learning models for real-world business use cases.
- Perform data cleaning, preprocessing, feature engineering, and model optimization.
- Research, design, and apply state-of-the-art ML techniques across domains such as NLP, Computer Vision, or Predictive Analytics.
- Collaborate with data engineers and software developers to ensure seamless end-to-end ML solution deployment.
- Deploy ML models to production environments and monitor performance for scalability and accuracy.
- Stay updated with the latest advancements in Artificial Intelligence and Machine Learning frameworks.
Required Skills & Qualifications
- B.Tech degree in Computer Science, Information Technology, Data Science, or related discipline.
- 6+ years of hands-on experience in Machine Learning, Artificial Intelligence, and Deep Learning.
- Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
- Solid foundation in mathematics, statistics, algorithms, and probability.
- Experience in working with NLP, Computer Vision, Recommendation Systems, or Predictive Modeling.
- Knowledge of cloud platforms (AWS / GCP / Azure) for model deployment.
- Familiarity with MLOps tools and practices for lifecycle management.
- Excellent problem-solving skills and the ability to work in a collaborative environment.
Preferred Skills (Good to Have)
- Experience with Big Data frameworks (Hadoop, Spark).
- Exposure to Generative AI, LLMs (Large Language Models), and advanced AI research.
- Contributions to open-source projects, publications, or patents in AI/ML.
Work Mode & Interview Process
- Hybrid Model: 3 days in office (Bangalore) + 3 days remote.
- Interview: Candidate must be available for Face-to-Face L2 interview at Bangalore location.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Amazon Web Services (AWS)About NonStop io Technologies
NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.
Brief Description:
We're seeking an AI/ML Engineer to join our team. As AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real-world business problems. You will work closely with engineering teams, including software engineers, domain experts, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms and data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.
Responsibilities
● Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
● AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
● Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
● Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
● Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behaviour, and performance metrics
● Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
● Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
● Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
● Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference.
Qualifications & Skills
● Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
● Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
● Proficiency in programming languages commonly used for AI/ML. Preferably Python
● Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
● Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
● Strong understanding of machine learning algorithms, statistics, and data structures
● Experience with data preprocessing, data wrangling, and feature engineering
● Knowledge of deep learning architectures, neural networks, and transfer learning
● Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
● Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
● Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
● Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders
PythonMachine Learning (ML)Python Developer (Performance Optimization Focus)
Experience: 3–5 Years
Location: Remote (India-based candidates only)
Employment Type: Full-time
Role Overview
We are seeking a Python Developer with a strong focus on performance optimization and system efficiency. In this role, you will identify bottlenecks, enhance system performance, and contribute to building scalable, high-performance applications in a Linux-based environment.
Key Responsibilities
- Analyze and troubleshoot performance bottlenecks in applications and systems
- Optimize code, database queries, and architecture for scalability and speed
- Design, develop, test, and maintain robust Python applications
- Work with large datasets and improve data processing efficiency
- Collaborate with cross-functional teams to improve system reliability and performance
- Monitor system performance and implement proactive improvements
- Write clean, maintainable, and efficient code following best practices
Required Skills & Qualifications
- 3–5 years of hands-on experience in Python development
- Strong expertise in performance tuning and optimization techniques
- Experience with debugging and profiling tools
- Solid understanding of data structures and algorithms
- Experience with REST APIs and backend development
- Strong analytical and problem-solving skills
Linux & System Knowledge (Must-Have)
- Comfortable working in Linux/Unix environments
- Command-line proficiency, including:
- File editing (vi, nano)
- File permissions (chmod, chown)
- File downloads (wget, curl)
- Basic file and directory operations
Basic Python Knowledge (Interview Scope)
- Writing simple scripts and reusable functions
- String manipulation and data handling
- Example task: Count words in a file/string efficiently
Good to Have
- Familiarity with AI/ML concepts or tools
- Experience optimizing data-intensive or distributed systems
- Exposure to cloud platforms (AWS, GCP, Azure)
Why Join Us
- Work on performance-critical systems with real-world impact
- Fully remote work environment
- Opportunity to work with modern, scalable technologies
- Collaborative, growth-focused team culture
JavaPythonMachine Learning (ML)
XMLAbout the Role-
Thinking big and executing beyond what is expected. The challenges cut across algorithmic problem solving, systems engineering, machine learning and infrastructure at a massive scale.
Reason to Join-
An opportunity for innovators, problem solvers & learners. Working will be Innovative, empowering, rewarding & fun. Amazing Office, competitive pay along with excellent benefits package.
Requiremets and Responsibilities- (please read carefully before applying)
- The overall experience of 3-6 years in Java/Python Framework and Machine Learning.
- Develop Web Services, REST, XSD, XML technologies, Java, Python, AWS, API.
- Experience on Elastic Search or SOLR or Lucene -Search Engine, Text Mining, Indexing.
- Experience in highly scalable tools like Kafka, Spark, Aerospike, etc.
- Hands on experience in Design, Architecture, Implementation, Performance & Scalability, and Distributed Systems.
- Design, implement, and deploy highly scalable and reliable systems.
- Troubleshoot Solr indexing process and querying engine.
- Bachelors or Masters in Computer Science from Tier 1 Institutions
Python
PostgreSQLSizzle 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 Python expert to help develop and deploy our AI pipeline. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. Our pipeline is centered around several microservices, all written in Python, that coordinate their actions through a database. We’re looking for developers with deep experience in Python including profiling and improving the performance of production code, multiprocessing / multithreading, and managing a pipeline that is constantly running. AI/ML experience is a plus, but not necessary. AWS / docker / CI/CD practices are also a plus. If you are a gamer or streamer, or enjoy watching video games and streams, that is also definitely a plus :-)
You will be responsible for:
- Building Python scripts to deploy our AI components into pipeline and production
- Developing logic to ensure multiple different AI components work together seamlessly through a microservices architecture
- Managing our daily pipeline on both on-premise servers and AWS
- Working closely with the AI engineering, backend and frontend teams
You should have the following qualities:
- Deep expertise in Python including:
- Multiprocessing / multithreaded applications
- Class-based inheritance and modules
- DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
- Understanding Python performance bottlenecks, and how to profile and improve the performance of production code including:
- Optimal multithreading / multiprocessing strategies
- Memory bottlenecks and other bottlenecks encountered with large datasets and use of numpy / opencv / image processing
- Experience in creating soft real-time processing tasks is a plus
- Expertise in Docker-based virtualization including:
- Creating & maintaining custom Docker images
- Deployment of Docker images on cloud and on-premise services
- Experience with maintaining cloud applications in AWS environments
- Experience in deploying machine learning algorithms into production (e.g. PyTorch, tensorflow, opencv, etc) is a plus
- Experience with image processing in python is a plus (e.g. openCV, Pillow, etc)
- Experience with running Nvidia GPU / CUDA-based tasks is a plus (Nvidia Triton, MLFlow)
- Knowledge of video file formats (mp4, mov, avi, etc.), encoding, compression, and using ffmpeg to perform common video processing tasks is a plus.
- 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
Seniority: We are looking for a mid to senior level engineer
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply.
Work Experience: 4 years to 8 years
About Sizzle
Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Sizzle works with thousands of gaming streamers to automatically create highlights and social content for them. Sizzle is available at www.sizzle.gg.
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Flask- Work on a chatbot framework/architecture using an open-source tool or library
- Implement Natural Language Processing (NLP) for chatbots
- Integration of chatbots with Management Dashboards and CRMs
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- Designing and building highly scalable AI and ML solutions
- Ability to understand business requirements and translate them into technical requirements
- Open-minded, flexible, and willing to adapt to changing situations
- Ability to work independently as well as on a team and learn from colleagues
- High adaptability in a dynamic start-up environment.
- Experience with bot multi-lingual utilization (preferred)
- Experience with bot human escalation
- Ability to optimize applications for maximum speed and scalability
- Come up with new approaches and ideas to improve the current performance of Chatbots across multiple domains and build a highly personalized user experience.
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SKILLS REQUIRED :
- Minimum 3+ years- of experience in Chatbot Development using the Rasa open-source framework.
- Hands-on experience building and deploying chatbots.
- Experience in Conversational AI platforms for enterprises using ML and Deep Learning.
- Experience with both text to speech and vice versa transformation incorporation.
- Should have a good understanding of various Chatbot frameworks/platforms/libraries.
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- Experience with bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc.
- Knowledge of digital assistants such as Amazon Alexa, Google Assistant, etc.
- Experience in applying different NLP techniques to problems such as text. classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning
- Techniques - NLP Skills/Tools: NLP, HMM, MEMM, P/LSA, CRF, LDA, Semantic Hashing, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, Core NLP, NLU, NLG, etc.
- Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context.
- Knowledge of SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL
- Experience with working on public cloud services such as Digital Ocean, AWS, Azure, or GCP.
- Knowledge of Linux shell commands.
- Integration with Chat/Social software like Facebook Messenger, Twitter, SMS.
- Integration with Enterprise systems like Microsoft Dynamics CRM, Salesforce, Zendesk, Zoho, etc.
MUST HAVE :
- Strong foundation in the python programming language.
- Experience with various chatbot frameworks especially Rasa and Dialogflow.
- Strong understanding of other AI tools and applications like TensorFlow, Spacy, and Google Cloud ML is a BIG plus.
- Experience with RESTful services.
- Good understanding of HTTPS and Enterprise security.
DjangoPythonYour responsibilities as a backend engineer will include:
- Back-end software development
- Software engineering and designing data models and write effective APIs
- Working together with engineers and product teams
- Understanding business use cases and requirements for different internal teams
- Maintenance of existing projects and New feature development
- Consume and integrate classifier/ ML snippets from Data science team
What we are looking for:
- 2+ years of industry experience with the Python and Django framework.
- Degree in Computer Science or related field
- Good analytical skills with strong fundamentals of data structures and algorithms
- Experience building backend services with hands-on experience through all stages of Agile software development life cycle.
- Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
- Experience with Databases.
- Experience with writing REST-APIs.
- Prototyping initial collection and leveraging existing tools and/or creating new tools
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- Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
- A positive attitude, and a growth mindset
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Data SciencePythonDevelop state of the art algorithms in the fields of Computer Vision, Machine Learning and Deep Learning.
Provide software specifications and production code on time to meet project milestones Qualifications
BE or Master with 3+ years of experience
Must have Prior knowledge and experience in Image processing and Video processing • Should have knowledge of object detection and recognition
Must have experience in feature extraction, segmentation and classification of the image
Face detection, alignment, recognition, tracking & attribute recognition
Excellent Understanding and project/job experience in Machine learning, particularly in areas of Deep Learning – CNN, RNN, TENSORFLOW, KERAS etc.
Real world expertise in deep learning- applied to Computer Vision problems • Strong foundation in Mathematics
Strong development skills in Python
Must have worked upon Vision and deep learning libraries and frameworks such as Opencv, Tensorflow, Pytorch, keras
Quick learner of new technologies
Ability to work independently as well as part of a team
Knowledge of working closely with Version Control(GIT)
PythonMachine Learning (ML)Data ScienceResponsibilities:
- Writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performant applications
- Integration of user-facing elements developed by front-end developers with server side logic
- Implementation of security and data protection
- Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)
- Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)
- Familiarity with some ORM (Object Relational Mapper) libraries
- Able to integrate multiple data sources and databases into one system
- Understanding of the threading limitations of Python, and multi-process architecture
- Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)
- Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
- Understanding of accessibility and security compliance (depending on the specific project)
- Knowledge of user authentication and authorization between multiple systems, servers, and environments
- Understanding of fundamental design principles behind a scalable application
- Familiarity with event-driven programming in Python
- Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform
- Able to create database schemas that represent and support business processes
- Strong unit test and debugging skills
- Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.
PythonJava
ScalaDjangoPythonMachine Learning (ML)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon