Machine Learning (ML)
Subodh Popalwar
Software Engineer, Memorres
About CONCERTO.AI
Concerto AI is a global Enterprise AI company founded by a team of people with deep enterprise knowledge and expertize in AI technologies. Our products incorporate the state-of-the-art AI technologies such as fact extraction from unstructured data, deep QA, dialog management, behavioral modeling, personalization and recommendation.
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Pythonbout the Role
We are seeking an experienced Python Data Engineer with a strong foundation in API and basic UI development. This role is essential for advancing our analytics capabilities for AI products, helping us gain deeper insights into product performance and driving data-backed improvements. If you have a background in AI/ML, familiarity with large language models (LLMs), and a solid grasp of Python libraries for AI, we’d like to connect!
Key Responsibilities
• Develop Analytics Framework: Build a comprehensive analytics framework to evaluate and monitor AI product performance and business value.
• Define KPIs with Stakeholders: Collaborate with key stakeholders to establish and measure KPIs that gauge AI product maturity and impact.
• Data Analysis for Actionable Insights: Dive into complex data sets to identify patterns and provide actionable insights to support product improvements.
• Data Collection & Processing: Lead data collection, cleaning, and processing to ensure high-quality, actionable data for analysis.
• Clear Reporting of Findings: Present findings to stakeholders in a clear, concise manner, emphasizing actionable insights.
Required Skills
• Technical Skills:
o Proficiency in Python, including experience with key AI/ML libraries.
o Basic knowledge of UI and API development.
o Understanding of large language models (LLMs) and experience using them effectively.
• Analytical & Communication Skills:
o Strong problem-solving skills to address complex, ambiguous challenges.
o Ability to translate data insights into understandable reports for non-technical stakeholders.
o Knowledge of machine learning algorithms and frameworks to assess AI product effectiveness.
o Experience in statistical methods to interpret data and build metrics frameworks.
o Skilled in quantitative analysis to drive actionable insights.
Python
Django
Deep LearningWe are seeking a talented and motivated AI/ML Team Lead with a passion for Natural Language Processing (NLP) to spearhead the development of a groundbreaking natural language search tool tailored for the accounting domain. In this role, you will lead a dynamic team of engineers and data scientists, driving the design and implementation of intelligent search functionalities that will enhance user experience and streamline financial data retrieval.
Key Responsibilities
- Lead Development Initiatives: Oversee the design, development, and deployment of NLP models that facilitate natural language search capabilities within accounting software.
- Collaborate with Cross-Functional Teams: Work closely with product managers, UX/UI designers, and domain experts to understand user needs and translate them into technical requirements.
- Research & Innovation: Stay abreast of the latest advancements in AI/ML and NLP technologies; implement best practices to ensure our solutions remain at the forefront of the industry.
- Mentor & Guide Team Members: Provide technical leadership and mentorship to junior engineers and data scientists, fostering a culture of continuous learning and improvement.
- Performance Optimization: Analyze model performance and implement strategies to enhance accuracy, speed, and usability of NLP features.
Machine Learning (ML)
Azure Chatbot Developer
Location :Bangalore / Mumbai / Pune
Job Description
Build and maintain bots on Azure platform. Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments
Qualifications
a) 5 years of experience in software development with clear understanding of the project life cycle
b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
c) Hands on experience with Machine Learning based chat bots
d) Experience with Azure bot services like Text Analytics etc.
e)Strong database skills and hands-on experience on databases like SQL Server/Oracle
f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.
g) Strong experience designing and working with
with service-oriented architectures (SOA) and WebAPIs.
h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET
i) Knowledge of Python and NodeJS is a plus
j) Ability to design and optimize SQL Server 2008 stored procedures.
k) Experience with JQuery, CSS3, HTML5 or similar technologies.
l) Ability to adapt quickly to an existing, complex environment.
PythonMachine Learning (ML)- Experience building and managing large scale data/analytics systems.
- Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good
understanding of software design principles and architectural best practices.
- Be passionate about writing code and have experience coding in multiple languages, including at least
one scripting language, preferably Python.
- Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision
is right/wrong, and so on.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- Have exposure and working knowledge in AI environment with Machine learning experience
- Have experience working with multiple storage and indexing technologies such as MySQL, Redis,
MongoDB, Cassandra, Elastic.
- Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana,
Graylog, StatsD, Datadog etc
Django
FlaskPython
Amazon Web Services (AWS)Your 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:
- 4+ 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 (Relational and Non-Relational). Ex: Cassandra, MongoDB, Postgresql
- Experience with writing REST-APIs.
- Prototyping initial collection and leveraging existing tools and/or creating new tools
- Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
- 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
Bonus:
- Experience with relevant Python libraries such as Sklearn, NLTK, tensorflow, HuggingFace Transformers
- Hands on experience in Machine learning implementations
- Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
- Good with Humor and Team player
Machine Learning (ML)Responsibilities:
• Develop computer vision systems for enterprises to be used by hundreds of our
customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be
integrated into the product
• Work closely with the ML engineers to explore and enhance new product features
leading to new areas of business
Requirements:
Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature
engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and
convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object
detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning
frameworks like Tensorflow/Keras/Pytorch
JavaPython
JavascriptAmazon Web Services (AWS)Deep Learning.png&w=256&q=75)
NodeJS (Node.js)
HTML/CSS
React.js
JavaMachine Learning (ML)Python
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Software Engineer, Memorres