Machine Learning (ML)
Data Science
PythonJob description
Who we are looking for
· A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.
Roles and Responsibilities
· Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
· Mentor and coach other team members
· Evaluate the performance of NLP models and ideate on how they can be improved
· Support internal and external NLP-facing APIs
· Keep up to date on current research around NLP, Machine Learning and Deep Learning
Mandatory Requirements
· Any graduation with at least 2 years of demonstrated experience as a Data Scientist.
Behavioural Skills
· Strong analytical and problem-solving capabilities.
· Proven ability to multi-task and deliver results within tight time frames
· Must have strong verbal and written communication skills
· Strong listening skills and eagerness to learn
· Strong attention to detail and the ability to work efficiently in a team as well as individually
Technical Skills
Hands-on experience with
· NLP
· Deep Learning
· Machine Learning
· Python
· Bert
Preferred Requirements
· Experience in Computer Vision is preferred
Shubham Vishwakarma
Full Stack Developer - Averlon
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PythonMachine Learning (ML)JOB DETAILS:
* Job Title: Principal Data Scientist
* Industry: Healthcare
* Salary: Best in Industry
* Experience: 6-10 years
* Location: Bengaluru
Preferred Skills: Generative AI, NLP & ASR, Transformer Models, Cloud Deployment, MLOps
Criteria:
- Candidate must have 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).
- Candidate must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.
- Candidate must have experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.
- Candidate must have hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.
- Candidate must have experience integrating AI with EHR/EMR systems, ensuring HIPAA/HL7/FHIR compliance, and leading AI initiatives.
Job Description
Principal Data Scientist
(Healthcare AI | ASR | LLM | NLP | Cloud | Agentic AI)
Job Details
- Designation: Principal Data Scientist (Healthcare AI, ASR, LLM, NLP, Cloud, Agentic AI)
- Location: Hebbal Ring Road, Bengaluru
- Work Mode: Work from Office
- Shift: Day Shift
- Reporting To: SVP
- Compensation: Best in the industry (for suitable candidates)
Educational Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Technical certifications in AI/ML, NLP, or Cloud Computing are an added advantage
Experience Required
- 7+ years of experience solving real-world problems using:
- Natural Language Processing (NLP)
- Automatic Speech Recognition (ASR)
- Large Language Models (LLMs)
- Machine Learning (ML)
- Preferably within the healthcare domain
- Experience in Agentic AI, cloud deployments, and fine-tuning transformer-based models is highly desirable
Role Overview
This position is part of company, a healthcare division of Focus Group specializing in medical coding and scribing.
We are building a suite of AI-powered, state-of-the-art web and mobile solutions designed to:
- Reduce administrative burden in EMR data entry
- Improve provider satisfaction and productivity
- Enhance quality of care and patient outcomes
Our solutions combine cutting-edge AI technologies with live scribing services to streamline clinical workflows and strengthen clinical decision-making.
The Principal Data Scientist will lead the design, development, and deployment of cognitive AI solutions, including advanced speech and text analytics for healthcare applications. The role demands deep expertise in generative AI, classical ML, deep learning, cloud deployments, and agentic AI frameworks.
Key Responsibilities
AI Strategy & Solution Development
- Define and develop AI-driven solutions for speech recognition, text processing, and conversational AI
- Research and implement transformer-based models (Whisper, LLaMA, GPT, T5, BERT, etc.) for speech-to-text, medical summarization, and clinical documentation
- Develop and integrate Agentic AI frameworks enabling multi-agent collaboration
- Design scalable, reusable, and production-ready AI frameworks for speech and text analytics
Model Development & Optimization
- Fine-tune, train, and optimize large-scale NLP and ASR models
- Develop and optimize ML algorithms for speech, text, and structured healthcare data
- Conduct rigorous testing and validation to ensure high clinical accuracy and performance
- Continuously evaluate and enhance model efficiency and reliability
Cloud & MLOps Implementation
- Architect and deploy AI models on AWS, Azure, or GCP
- Deploy and manage models using containerization, Kubernetes, and serverless architectures
- Design and implement robust MLOps strategies for lifecycle management
Integration & Compliance
- Ensure compliance with healthcare standards such as HIPAA, HL7, and FHIR
- Integrate AI systems with EHR/EMR platforms
- Implement ethical AI practices, regulatory compliance, and bias mitigation techniques
Collaboration & Leadership
- Work closely with business analysts, healthcare professionals, software engineers, and ML engineers
- Implement LangChain, OpenAI APIs, vector databases (Pinecone, FAISS, Weaviate), and RAG architectures
- Mentor and lead junior data scientists and engineers
- Contribute to AI research, publications, patents, and long-term AI strategy
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- Expertise in Machine Learning, Deep Learning, and Generative AI
- Strong Python programming skills
- Hands-on experience with PyTorch and TensorFlow
- Experience fine-tuning transformer-based LLMs (GPT, BERT, T5, LLaMA, etc.)
- Familiarity with ASR models (Whisper, Canary, wav2vec, DeepSpeech)
- Experience with text embeddings and vector databases
- Proficiency in cloud platforms (AWS, Azure, GCP)
- Experience with LangChain, OpenAI APIs, and RAG architectures
- Knowledge of agentic AI frameworks and reinforcement learning
- Familiarity with Docker, Kubernetes, and MLOps best practices
- Understanding of FHIR, HL7, HIPAA, and healthcare system integrations
- Strong communication, collaboration, and mentoring skills
Customer Care Executive – Inbound Process | Ahmedabad
Role Overview:
We are hiring a Customer Care Executive to manage inbound calls & emails, resolve client queries, and deliver excellent customer service.
Responsibilities:
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- Identify and assess customer needs to ensure satisfaction.
- Maintain accurate documentation & follow communication guidelines.
- Support clients with clarity, professionalism, and problem-solving skills.
Requirements:
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- 0–5 years of client servicing experience (Mutual Fund preferred).
- Fluency in English, Hindi & Gujarati with excellent communication.
- Loyal, honest, decision-maker with a long-term vision.
pair of eyes to our financial reporting and budgeting processes, supporting key decision making
in every function. You will be working to ensure financial compliance to policies. Delivering
financial analysis and reports will also form a significant part of the role.
Must Have Background for this Role:
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• Auditing experience.
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Required Skills for this Role:
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• Preparing and publishing timely monthly financial statements
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• Evaluating and managing risk.
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Angular (2+)
Javascript
HTML/CSS1) Understand client requirements and functionalities.
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5) Active involvement in client communication to understand functional requirements.
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Required Skills
1) Good experience in Angular Latest Versions
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ExpressTreflo is looking for an Engineering Lead to join our Product Development team and work on the financial revolution triggered by the dawn of Cryptocurrencies and Smart contracts along with us. As Engineering Lead, you will be leading the Tech teams focused on Building Web 3 products along with the Product Team to ensure smooth execution of Specifications, provide engineering and product development inputs, oversee the company's technical team, analyze briefs, identify risks, and develop work schedules. You should be able to work with your team and inspire them to reach their goals. We see successful Leadership as always expanding their industry knowledge and ability to quickly identify problems, understand accountability, and trustworthiness, and be able to build lasting relationships with their teams.
Responsibilities
Determining project requirements and developing work schedules for the team. Delegating tasks and achieving daily, weekly, and monthly goals. Analyzing existing operations and scheduling training sessions and meetings to discuss improvements. Up to date with industry news and emerging best practices and technologies. Working closely in collaboration with the business, product, and design teams. Provide guidance on best implementation. Product Oriented Thinking - should come up with ideas to improve our product continuously and marshal resources at hand.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field. Minimum 4+ years of proven experience in deploying and maintaining Products. Minimum 1+ years of experience building and managing teams. Experience in Web3 stack with a clear understanding of concepts like decentralization, EVM, and cross-chains. Experience with Blockchain development - Smart Contracts, Solidity, Move, Haskell or WASM, etc. Expertise in frontend and backend tech stack - Node JS, Express, Typescript, Solidity, Smart Contracts, ReactJS, Android, Blockchains, Data structures, and Algorithms. Expertise in Databases like MongoDB & MySQL. Experience with solutions like Digital Ocean, Kubernetes, AWS, Docker, etc. Strong leadership, team building, hiring, and organizational abilities.
Desired Skills and Experience Blockchain,JavaScript,Node.js,React.js
Job Location: Chennai
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.
Job Description:
- Role is of Software Sales Manager
- The role requires the person to hunt and open new accounts for Company’s Returns Inventory Management Solution.
- Complete Ownership of Sales Cycle including the following:
- Identifying opportunities
- Managing the pipeline
- Working with the marketing team to launch marketing campaigns
- Managing the relationship with the client
- To be Successful, the candidate should have experience in Software/Consultative Solution Sales, should have done concept selling, especially in the retail industry
- Should have a understanding of IT Landscape in an enterprise, understanding of Logistics Supply chain, especially returns could be an added advantage
- The role requires the person to be quick thinker, innovative problem solver and ability to think on his feet will come in good stead.
Responsibilities
- Hunting New Accounts
- Business Development
- Enterprise Account & Sales Management – grow SOW
- Manage the entire sales cycle
- Maintain High level of customer satisfaction
- Pipeline management, Accurate Sales forecasting, Sales Negotiations and Business Closure.
- Exceeding Monthly and Quarterly Sales Targets
Desired Candidate Profile
- 3-5 years Sales Experience (preferable -Software, Consulting, Solution Sales, Concept Sales)
- Excellent Communicator, Presentation and writing Skills
- Business Development & Hunting New Accounts in SW/Consulting Solution Sales, Should know Concept Selling.
- Entrepreneurial mind set, Problem solver, quick thinker, Passionate, self-motivated, a self-starter with innovative mindset
- Willing to work in a fast-paced environment, where you need to be able to adapt effectively to changes.
- Excellent time management and prioritization skills.
- Experience in Supply Chain, Logistics Solutions may be an added advantage
Key skills:
Business Development, Enterprise Sales, Consulting Selling experience, Concept Selling, Solution Sales, Software Sales
Salary: 8 to 12 lakhs P.A.
Functional Area: Sales & Business Development, Hunting New accounts, Enterprise Account & Relationship Management
Role: Enterprise Sales & Business Development Manager
Education:
MBA or Equivalent with 3-5 years’ experience in SW/Consulting Solution Sales, Concept selling
Location: Mumbai, Delhi,
PHP
LaravelJob Highlights
- Must be proficient in PHP,WordPress MVC,MySQL,CSS,HTML,JavaScript,AJAX,JSON Should possess strong experience on Symfony
- Must have experience in API Development
- Good knowledge of relational databases,version control tools and of developing web services Solve complex performance problems and architectural challenges
- 1 -3 years experience with PHP-framework based Development
Job description
- Looking for a PHP Developer responsible for managing back-end services and the interchange of data between the server and the users. His primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to request from the front-end. Therefore, a basic understanding of front-end technologies is necessary as well.
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- Head responsibility to evaluate, design, develop and assist application systems. Integration of user-facing elements developed by front-end developers.
- Build efficient, testable, and reusable PHP modules.
- Integration of data storage solutions & Contribute in all phases of the development lifecycle. Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality.
- Develop and deploy new features to facilitate related procedures and tools if necessary.
- Strategy Leadership – Creates the Enterprise level technical vision, sets the direction and objectives, then motivates and guides others to take actions that support the vision. Works on highly complex projects that require in-depth knowledge across multiple specialized architecture domains.
- Reference IT Architecture- Leads the development of reference technology architecture by collaborating with digital, apps, infrastructure, and security groups.
- Business Capability Model-Expert in business architecture and leads mapping of business capabilities and developing long term plans using a business capability model
- Innovation– Develop and apply knowledge and skills in specific areas of expertise such as Enterprise Mobility, Cloud, Big Data, Analytics, Digital Business, and related topics across Enterprise Architecture, IT, and business domains. Apply knowledge and creativity to employ technology to drive business success. Run innovation pilots with emerging technologies.
- Application Portfolio Management – Lead application portfolio management across global company application portfolio and identify opportunities to retire, reinvest, upgrade and migrate applications to the cloud.
- Develops others: Acts as a leader and advocate of IT Architecture, including coaching and training staff.
- Continuous Improvement – provides a continually improving set of software and systems engineering practices that minimize development friction, enhance the effectiveness of the architecture and contribute to increasing the velocity of delivering industry-leading, quality, technology solutions. Performs complex cost/benefit analysis when researching future state capabilities. Ensures enterprise solutions are scalable and adaptable according to changing business needs. Promotes a continuous delivery pipeline and rallies the organization around a common technical vision. Advises on best practices (architecture, implementation, etc.).
- Communications - demonstrate excellent interpersonal, written, presentation, leadership, collaboration, facilitation, and negotiation skills and the ability to interact with all levels of internal and external stakeholders. Highly collaborative and able to communicate the value of the enterprise architecture to the organization. Reviews existing enterprise architecture or business processes and establish metrics for improvements, as well as the support of all architectural disciplines under their direction. Strong customer service, networking, and teaming skills. Demonstrated ability to work effectively in a team environment and interact with all levels of internal and external personnel.
Basic Qualifications
- Bachelor’s degree in Computer Science, MIS, related field, or equivalent experience
- Experience working with solutions delivery teams using Agile/Scrum or similar methodologies
- Experience with enterprise systems, like eCommerce, Digital Marketing, CRM, ERP, Field Services Management, Supply Chain solutions, HR systems
- Exceptional written, verbal & presentation skills
- Exceptional interpersonal skills including collaboration, facilitation, and influencing
- 5+ years of experience partnering with business managers to develop enterprise-level technical strategies and architectures to support their objectives
- 5+ years of experience in at least three of the following disciplines – Solution architecture, infrastructure architecture, application architecture, data architecture, business architecture
- 10+ years of experience in a midsize or large corporation supporting multiple lines of business with a global presence
- 12+ years of experience in architecture, design, or development of enterprise solutions
Preferred Qualifications
- Advanced degree in business, computer science, computer engineering, electrical engineering, system analysis, or related field of study
- 5+ years of experience in SAP
- 5+ years of experience in Salesforce
- 5+ years of experience in Azure
- Knowledge of TOGAF and Zachman
- Ability to develop a business case with strategic and financial justifications
- Understanding of security-related regulatory requirements, such as NIST, PCI, HIPAA compliance
- Strong leadership, analytical and technical skills, experience leading multiple, complex work streams concurrently with demonstrated expertise as a technical lead on large-scale projects
- Knowledge of business process engineering principles and processes, modeling techniques (UML, Domain-Driven Design, Domain Models, Enterprise Architecture design patterns, system integration, performance testing), operating models, financial models, cost-benefit analysis, information security, and risk management
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon