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

AI/ML Data Solution Architecture Ability to define data architecture strategy that align with business goals for AI use cases and ensures data availability & data accuracy. Ensuring data quality by implementing and enforcing data governance policies and best practices Technology evaluation & selection Execute Proof of concept and Proof of value for various technology solutions and frameworks Continuous Learning - Staying up to date with emerging technologies and trends in Data Engineering, AI / ML, and GenAI, and making recommendations for their adoption wherever appropriate Team Management Responsible for leading a team of data architects and data engineers, as well as coordinating with vendors and technology partners Collaboration & communication Collaborate and work closely with executives, stakeholder and business teams to effectively communicate architecture strategy & clearly articulate the business value.

Experience : 12 to 16 yrs

Work location : JP Nagar 3rd phase, South Bangalore. (Work from office role, IC role to begin with)

Suitable candidate be able to demonstrate strong experience in the following areas -

Data Engineering

• Hands-on experience with data engineering tools such as Talend (or Informatica or AbInitio), Databricks (or Spark), and HVR (or Attunity or Golden Gate or Equalum).
• Working knowledge of data build tools, Azure Data Factory, continuous integration and continuous delivery (CI/CD), automated testing, data lakes, data warehouses, big data, Collibra, and Unity Catalog
• Basic knowledge of building analytics applications using Azure Purview, Power BI, Spotfire, and Azure Machine Learning.

AI & ML -

• Conceptualize & design end-to-end solution view of sourcing data, pre-processing data, feature stores, model development, evaluation, deployment & governance
• Define model development best practices, create POVs on emerging AI trends, drive the proposal responses, help solving complex analytics problems and strategize the end-to-end implementation frameworks & methodologies
• Thorough understanding of database, streaming & analytics services offered by popular cloud platforms (Azure, AWS, GCP) and hands-on implementation of building machine learning pipeline with at least one of the popular cloud platforms
• Expertise on Large Language Model preferred with exposure to implementing generative AI using ChatGPT / Open AI and other models. Harvesting Models from open source will be an added advantage
• Good understanding of statistical analysis, data analysis and knowledge of data management & visualization techniques
• Exposure to other AI Platforms & products (Kore.ai, expert.ai, Dataiku etc.) desired
• Hands-on development experience in Python/R is a must and additional hands-on experience on few other procedural/object-oriented programming languages (Java, C#, C++) is desirable.
• Leadership skills to drive the AI/ML related conversation amidst CXO, Senior Leadership and making impactful presentations to customer organizations

Stakeholder Management & Communication Skills

• Excellent communication, negotiation, influencing and stakeholder management skills
• Preferred to have experience in project management, particularly in executing projects using Agile delivery frameworks
• Customer focus and excellent problem-solving skills

Qualification

• BE or MTech (BSc or MSc) in engineering, sciences, or equivalent relevant experience required.
• Total 13+ years of experience and 10+ years of experience in building/managing/administrating data and analytics applications is required
• Designing solution architecture and present the architecture in architecture review forums

Additional Qualifications

• Ability to define best practices for data governance, data quality, and data lineage, and to operationalize those practices.
• Proven track record of designing and delivering solutions that comply with industry regulations and legislation such as GxP, SoX, HIPAA, and GDPR.

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.

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.

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.

Roles and Responsibilities:

• Python Full Stack Development experience is preferred.
• Able to create modern data pipelines and data processing using AWS PAAS components (Glue, Sagemaker studio, etc.) or open source tools (Spark, Hbase, Hive, etc.).
• A good understanding of ML/ AI algorithms and statistical algorithms is mandatory.
• Critical thinking and problem-solving is essential  
• Ability to model and design modern data structures, SQL/NoSQL databases, Data Lakes, Cloud Data Warehouse (SnowFlake preferred).
• Experience on data stores such as DynamoDB, Redis, Elasticsearch, MySQL, Oracle, and AWS RDS.
• Deploying software using CI/CD tools such as Azure Devops, Jenkins, etc.
• Experience with API tools such as REST, Swagger, Postman.
• Working in Agile Framework. 
• Previous work experience in a fintech/finance product-based industry is a bonus.
• Previous work on the Churn models is a bonus.

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

The selected candidate is required to fine tune LLM models, train them in distributed mode using SLURM framework, perform the necessary data engineering, training process monitoring and tuning, analysis, and documentation.

This job is for Generative AI in visual modality. Candidates with relevant experience only must apply.

The selected candidate is required to perform all the necessary tasks related to data engineering, models selection, use relevant selected libraries/ APIs/ SDKs and creat an Avatar that is visually realistic, with realistic expressions, correct lip synching, and is computationally optimal to run in real time.

The candidate is required to do the necessary designer's tests and documentation as well.

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

About antuit.ai

Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.

Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.

The Role:

Antuit is looking for a Data / Sr. Data Scientist who has the knowledge and experience in developing machine learning algorithms, particularly in supply chain and forecasting domain with data science toolkits like Python.

In this role, you will design the approach, develop and test machine learning algorithms, implement the solution.  The candidate should have excellent communication skills and be results driven with a customer centric approach to problem solving.  Experience working in the demand forecasting or supply chain domain is a plus. This job also requires the ability to operate in a multi-geographic delivery environment and a good understanding of cross-cultural sensitivities.

Responsibilities:

Responsibilities includes, but are not limited to the following:

• Design, build, test, and implement predictive Machine Learning models.
• Collaborate with client to align business requirements with data science systems and process solutions that ensure client’s overall objectives are met.
• Create meaningful presentations and analysis that tell a “story” focused on insights, to communicate the results/ideas to key decision makers.
• Collaborate cross-functionally with domain experts to identify gaps and structural problems.
• Contribute to standard business processes and practices as part of a community of practise.
• Be the subject matter expert across multiple work streams and clients.
• Mentor and coach team members.
• Set a clear vision for the team members and working cohesively to attain it.

Qualifications and Skills:

Requirements

• Experience / Education:
  • Master’s or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics or other related 
• 5+ years’ experience working in applied machine learning or relevant research experience for recent Ph.D. graduates.
• Highly technical:
• Skilled in machine learning, problem-solving, pattern recognition and predictive modeling with expertise in PySpark and Python.
• Understanding of data structures and data modeling.
• Effective communication and presentation skills
• Able to collaborate closely and effectively with teams.
• Experience in time series forecasting is preferred.
• Experience working in start-up type environment preferred.
• Experience in CPG and/or Retail preferred.
• Effective communication and presentation skills.
• Strong management track record.
• Strong inter-personal skills and leadership qualities.

Information Security Responsibilities

• Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
• Take part in Information Security training and act accordingly while handling information.
• Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).

EEOC

About antuit.ai

Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.

Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.

The Role:

Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs.

Responsibilities:

Responsibilities includes, but are not limited to the following:

• Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations.
• Design, build reliable and scalable automated processes for large scale machine learning.
• Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning. 
• Collaborate with Business, Technology and Product teams to stand-up MLOps process.
• Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools.
• Deep dive into complex algorithmic and product issues in production
• Own metrics and reporting for delivery team. 
• Set a clear vision for the team members and working cohesively to attain it.
• Mentor and coach team members

Qualifications and Skills:

Requirements

• Engineering degree in any stream
• Has at least 7 years of prior experience in building ML driven products/solutions
• Excellent programming skills in any one of the language C++ or Python or Java.
• Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc.
• Developed and productized large-scale models/algorithms in prior experience
• Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks.
• Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
• Good verbal, written and presentation skills.
• Ability to learn new skills and technologies.
• 3+ years working with retail or CPG preferred.
• Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred.

Information Security Responsibilities

• Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
• Take part in Information Security training and act accordingly while handling information.
• Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).

EEOC

• Perform research and development on Machine Learning specifically in the areas of Speech Recognition, Digital signal processing, audio signal processing, NaturalLanguage processing, Natural Language Understanding
• Read and keep up with the research in Speech recognition, Machine Learning, Deep

• Understand and implement research papers to the business problem and build the

• Contribute to applied research and open source community
• Mentor and guide team members

We are looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply.

We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you.

All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization.

Skills:

• Experience in predictive modelling and predictive software development
• Skilled in Java, C++, Perl/Python (or similar scripting language)
• Experience in using R, Matlab, or any other statistical software
• Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications
• Strong communication and data presentation skills

• Classification (svm, decision tree, random forest, neural network)
• Regression (linear, polynomial, logistic, etc)
• Classical Optimization(gradient descent, newton raphson, etc)
• Graph theory (network analytics)
• Heuristic optimisation (genetic algorithm, swarm theory)
• Deep learning (lstm, convolutional nn, recurrent nn)

Must Have:

• Experience: 3-9 years
• The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP
• The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage
• Preferred experience with large data sets & distributed computing in Hadoop ecosystem
• Fluency with databases

About Us

Design is at the heart of everything we do. We are ambitious to build a great global brand and we also take a lot of pride in having built a world-class product and continue to do so in a cutting edge field like Natural Language Understanding. Across both, design has played a crucial role so far and it will continue to be one of the most important hires for interface. Hence you will be working directly with the CEO.

Today, interface provides an out-of-the-box AI Assistant that acts as a “Personal Bank Teller” to help customers 24x7 through every step of the journey from a prospect to a customer. It is used by several financial institutions (FIs) across 5 countries spanning millions of conversations. Our customers have already witnessed over $50M+ ROI in just under 12 months.

Our vision is to put an AI-powered Personal Banking Assistant in everyone's pocket that not only helps with day-to-day banking needs but also helps with financial education to help each individual achieve financial wellness.

As a Lead Product Designer you will be in charge of :

1. Platform - Our platform is a suite of tools that makes the underlying core technology usable for FIs and there are certain parts that will also be used by the customers of the FIs. So you have an opportunity to design for both B2B and B2C.
2. Branding - All design aspects of creating, evolving and maintaining the brand
3. Conversation Design Principles - You will create and own the Conversation Design Principles, which will be used by the rest of the teams to design how our AI Assistant will converse.

You can be a great fit if you are :

1. Extremely self-motivated
2. Ability to learn quickly
3. Growth mindset (read this if you don't know what it means - https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322">link)
4. Emotional Maturity (read this if you don't know what it means - https://medium.com/@krisgage/15-signs-of-emotional-maturity-38b1a2ab9766">link)
5. Passionate about the possibilities at the intersection of AI + Banking
6. Worked in a startup of 5 to 30 employees
7. Think like an engineer, empathize like an end-user
8. 4+ years of experience in SaaS Product Design
9. Experience in owning Product and Branding as a Full Stack Designer
10. Experience in owning Conversation Design Principles previously is a plus otherwise you are a native English speaker who has an eye for UX with words and worry the UI/UX as we know today will not exist soon :)

At interface, just like many other companies, we have made mistakes as we grow. But we have learnt from it and have gotten better. And we thank all of our employees who provided genuine feedback on the forums like Glassdoor. For others, it has become a punching bag of sorts specifically former employees who have had short tenures with us. If this bothers you, we understand. But people who typically work in startups understand this happens. 

We recommend you reach out to any of our employees who have stayed with us over an extended period if you would like to get an unbiased view if necessary.

About Clari

Clari uses AI and automation to drive growth and retention for high-performing revenue teams. Clari’s Revenue Operations platform is currently processing over $300 billion in pipeline, and is used by over 50,000 marketing, sales and customer success professionals across 170 countries. Customers include market leaders like Symantec, Adobe, Alteryx, Workday, Lenovo, Zoom, Medallia, Alteryx and hundreds of others.  Clari harvests and analyzes activity signals from dozens of different business systems, including email, calendar, CRM, marketing automation, to shorten sales cycles, increase win rates, and make revenue more predictable. 

The result is passionate and frankly humbling customer loyalty. We consistently hear from our customers how we’ve changed their lives - just check out the reviews on https://www.g2crowd.com/products/clari/reviews">G2 Crowd. It never gets old, and we never take it for granted.

Clari is looking for several key experienced engineering who will focus on implementing many different areas of our solution, including but not limited to our overall web architecture, core application features such as data science driven analytics, user management, content management, social graph integration, personalization, emails, collaboration systems and enterprise content repositories as well as on unstructured data analytics, machine learning and our relevance engine.

Join our core applications team where you’ll work with truly remarkable colleagues on highly diverse, complex, and relevant problems while building scalable applications designed to service millions of mobile and web-based information workers. You’ll work closely with product managers, designers, and others in a cross functional environment on multiple projects, from concept phase through testing, launch and ongoing operations.

We work in an open, collaborative environment and seek exceptional developers who enjoy problem solving and straying outside the routine. You will also contribute to the growth of Clari by being a Brand Ambassador and assist in the hiring of great talent.

Qualifications

• 3+ years of professional server development experience using Java or similar object-oriented language
• Strong understanding of web-based architecture - web servers, load balancing, caching, databases etc.
• Basic knowledge of SQL (Postgres, MySQL) and NoSQL databases (MongoDB)
• Experience developing data driven web applications
• Up-to-date knowledge of latest trends in web application development, including Amazon AWS ecosystem
• Experience building and using RESTful APIs

Nice to Have

• Experience with multi-threading, replication etc. concepts in cloud applications
• Familiarity with large scale business intelligence applications
• Familiarity of JavaScript and other web technologies such as React
•  

Why Clari?

Because we have a big mission, a winning product and an amazing fan base of passionate customers.

We’re changing the world and having a lot of fun on the way. Clari is a fun and fast-growing Silicon Valley company. Clari is one of Inc. Magazine’s best places to work in the US and was named as a 2019 Top Bay Area Workplace for the 5th consecutive year. In October 2019, we closed $60M in Series D funding and are growing at 200%. Our product is a winner - we have perennially been given the highest overall rating in G2 Crowd’s Top 20 Sales Analytics Software. We’re backed by top tier investors including Sequoia Capital, Bain Capital, Sapphire Ventures, Madrona Venture Group and Tenaya Capital, and have a superb and supportive board.

Our team is made up of veteran entrepreneurs, brilliant engineers, and tried-and-true sales professionals who have done this before and want to do it again, this time only bigger.

What’s left to add? You.