26,515 Kore AI Developer jobs in India
Machine Learning
Posted today
Job Viewed
Job Description
Project Role**:Application Developer
- **Management Level**:8
- ** Work Experience**:8-10 years
- ** Work location**:Mumbai
- ** Must Have Skills **:Machine Learning
- ** Good To Have Skills **:No Technology Specialization
- ** Job Requirements:
**- **Key Responsibilities **:Expert in Python, with knowledge of at least one Python web framework Django, Flask, etc - Proficient understanding of code versioning tools Git, Mercurial or SVN - Familiarity with event-driven programming in Python - Good understanding of OWASP vulnerabilities and remediations
- Knowledge of user authentication and authorization between multiple systems, servers, and environments - Understanding of the threading limitations of Python, multi process architecture
- **
- Able to create database schemas that represent and support business processes - Able to integrate multiple data sources and databases into one system - Able to create database schemas that represent and support business processes
- **
Professional Attributes**:1: Must have good communication skills 2: Must have ability to collaborate with different teams and suggest solutions 3: Ability to work independently with little supervision or as a team 4: Good analytical problem solving skills 5: Good team handling skills
- **
Educational Qualification**:min 15 yrs of education
15 years of full time education
Software Engineer-Machine Learning/AI
Posted today
Job Viewed
Job Description
As a key member of our development team, will be responsible for leveraging your expertise in Python and ML/AI to design and implement advanced analytics, predictive modeling, and intelligent features within our enterprise applications. The primary skills will play a crucial role in enhancing the functionality and performance of our software solutions, enabling us to deliver innovative and data-driven applications to our clients.
In addition to your primary skillset, the secondary proficiency in Angular, R, and SQL will be valuable in collaborating with cross-functional teams to develop and maintain enterprise applications. The ability to work with front-end technologies like Angular, backend technologies like Python, and databases using SQL will be essential in ensuring the overall success of our projects.
**Primary Responsibility:**
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Soild primary skillset in Python programming and machine learning/artificial intelligence (ML/AI)
+ Secondary expertise in Angular, R, and SQL, to join our team
+ The ideal candidate will have a minimum of 4+ years of experience in software development, specifically in developing and maintaining high-performance enterprise applications
+ Experience of handling 2-3 good enterprise level projects in ML/AI
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
Staff Software Engineer, Machine Learning
Posted today
Job Viewed
Job Description
+ Bachelor's degree or equivalent practical experience.
+ 8 years of experience in software development.
+ 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
+ 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
+ 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
**Preferred qualifications:**
+ Master's degree or PhD in Engineering, Computer Science, or a related technical field.
+ 5 years of experience in developing machine learning models such as recommender systems, pricing optimization, user modeling, or computational advertising.
+ Experience architecting and deploying ML systems that function efficiently at a massive scale.
+ Experience mentoring and leading engineers on technical projects.
+ Understanding of large-scale data processing frameworks such as SQL, Spark or MapReduce, Python for efficient data querying and analysis.
+ Excellent communication skills with the ability to convey the team's technical goal effectively to executive leadership and cross-functional stakeholders.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.Google Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user.
**Responsibilities:**
+ Establish and lead the long-term technical goal for ML powered personalization, pricing and recommendation systems that scale to billions of users.
+ Design, develop and scale production-grade ML systems with strong emphasis on performance, reliability, debuggability and model explainability.
+ Serve as a technical pillar for the team by mentoring engineers, fostering their growth, providing design guidance and cultivating a culture of engineering excellence.
+ Identify high-impact machine learning applications to drive user growth, engagement, and business, while leading complex modeling initiatives from exploring novel algorithmic approaches for offer optimization to developing models for new product tiers.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Staff Software Engineer, Machine Learning
Posted today
Job Viewed
Job Description
+ Bachelor's degree or equivalent practical experience.
+ 8 years of experience in software development.
+ 5 years of experience in Machine Learning, NLP, etc. and launching software products, and 3 years of experience with software design and architecture.
**Preferred qualifications:**
+ 8 years of experience with data structures/algorithms.
+ Experience working collaboratively with partner teams such as Product Managers and other Engineering teams.
+ Experience as a technical lead.
+ Experience using Google Cloud Platform (GCP) or other Cloud services.
+ Software development experience in two or more general purpose programming languages, including in back-end programming.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Corp Engineering Machine Learning team is responsible for applying AL/ML techniques to Google's own enterprise challenges. The team works closely with research as well as enterprise teams to identify opportunities for AI incorporation and application.
At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google's IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.
**Responsibilities:**
+ Design and implement scalable AI solutions for Google's enterprise functions leveraging our enterprise AI best practices and foundational building blocks.
+ Collaborate with ML engineers and leads on developing reusable enterprise AI primitives.
+ Drive innovation in AI and agentic solutions that help transform Google's business functions.
+ Partner with PM/UX in defining product roadmap and new feature scope.
+ Mentor junior engineers and contribute to the overall technical direction of the team.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Sr Software Engineer - Machine Learning
Posted today
Job Viewed
Job Description
About A79.ai
A79.ai is a VC-funded innovator building an agentic AI platform for the enterprise especially biopharma and life sciences industries. Our enterprise-grade platform enables rapid deployment of complex AI agent workflows that continuously learn, adapt, and evolve — delivering measurable ROI for pharmaceutical and biotech clients.
Position Summary
As the Sr Software Engineer - Agentic AI, you will lead the architecture, coding, integration, and deployment of advanced agentic AI solutions tailored to various industries specifically to the pharmaceutical, biotech and life sciences sector. This role requires deep technical engineering skills combined with domain expertise in biopharma analytics, enabling clients to unlock new levels of automation, insight, and forecasting accuracy.
You will work hands-on with Python, AI/ML frameworks, and data engineering pipelines while collaborating with A79.ai’s product, data science, and client teams to design and implement robust AI-driven forecasting, analytics, and decision-support solutions.
Key Responsibilities
- End-to-End Solution Engineering: Architect, code, and deploy agentic AI-powered systems, integrating life sciences data in real-world evidence, market dynamics, and internal client datasets.
- Model Development: Build advanced AI agents in Python, leveraging statistical methods, AI/ML techniques, and automation to support commercial strategy and portfolio planning.
- Custom AI Workflow Design: Develop and optimize reusable Python-based agent workflows for biopharma & enterprise use cases, ensuring scalability and maintainability.
- Systems Integration & Data Pipelines: Engineer robust data pipelines to integrate client systems, third-party APIs, and internal datasets into forecasting workflows, ensuring reliability, security, and performance.
- Technical Client Advisory: Serve as the principal technical point of contact for enterprise clients, translating complex AI engineering details into business-relevant insights.
- Performance Monitoring & Optimization: Implement automated monitoring, logging, and retraining frameworks to ensure ongoing model accuracy and stability.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or related technical discipline.
- 3 to 5+ years hands-on engineering experience in AI/ML solutions , data pipelines, or enterprise analytics preferably within biopharma or life sciences.
- Preferred Qualification: Familiarity with Biotech, pharmaceutical, Life sciences use cases & technical complexities in commercial, marketing, marketing ops, medical, patient services or related use cases.
- Advanced or Expert-level Python programming skills with proficiency in pandas, NumPy, scikit-learn, PyTorch or TensorFlow.
- Experience with agentic AI platforms and automation frameworks.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes).
- Strong communication skills for cross-functional and client-facing work.
- High energy, detail-oriented, self-motivated, and committed to delivering scalable, production-ready solutions.
- Software Development / Biotechnology
Full-time
Sr Software Engineer - Machine Learning
Posted today
Job Viewed
Job Description
About A79.ai
A79.ai is a VC-funded innovator building an agentic AI platform for the enterprise especially biopharma and life sciences industries. Our enterprise-grade platform enables rapid deployment of complex AI agent workflows that continuously learn, adapt, and evolve — delivering measurable ROI for pharmaceutical and biotech clients.
Position Summary
As the Sr Software Engineer - Agentic AI, you will lead the architecture, coding, integration, and deployment of advanced agentic AI solutions tailored to various industries specifically to the pharmaceutical, biotech and life sciences sector. This role requires deep technical engineering skills combined with domain expertise in biopharma analytics, enabling clients to unlock new levels of automation, insight, and forecasting accuracy.
You will work hands-on with Python, AI/ML frameworks, and data engineering pipelines while collaborating with A79.ai’s product, data science, and client teams to design and implement robust AI-driven forecasting, analytics, and decision-support solutions.
Key Responsibilities
- End-to-End Solution Engineering: Architect, code, and deploy agentic AI-powered systems, integrating life sciences data in real-world evidence, market dynamics, and internal client datasets.
- Model Development: Build advanced AI agents in Python, leveraging statistical methods, AI/ML techniques, and automation to support commercial strategy and portfolio planning.
- Custom AI Workflow Design: Develop and optimize reusable Python-based agent workflows for biopharma & enterprise use cases, ensuring scalability and maintainability.
- Systems Integration & Data Pipelines: Engineer robust data pipelines to integrate client systems, third-party APIs, and internal datasets into forecasting workflows, ensuring reliability, security, and performance.
- Technical Client Advisory: Serve as the principal technical point of contact for enterprise clients, translating complex AI engineering details into business-relevant insights.
- Performance Monitoring & Optimization: Implement automated monitoring, logging, and retraining frameworks to ensure ongoing model accuracy and stability.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or related technical discipline.
- 3 to 5+ years hands-on engineering experience in AI/ML solutions, data pipelines, or enterprise analytics preferably within biopharma or life sciences.
- Preferred Qualification: Familiarity with Biotech, pharmaceutical, Life sciences use cases & technical complexities in commercial, marketing, marketing ops, medical, patient services or related use cases.
- Advanced or Expert-level Python programming skills with proficiency in pandas, NumPy, scikit-learn, PyTorch or TensorFlow.
- Experience with agentic AI platforms and automation frameworks.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes).
- Strong communication skills for cross-functional and client-facing work.
- High energy, detail-oriented, self-motivated, and committed to delivering scalable, production-ready solutions.
- Software Development / Biotechnology
Full-time
Be The First To Know
About the latest Kore ai developer Jobs in India !
Sr software engineer - machine learning
Posted today
Job Viewed
Job Description
About A79.ai A79.ai is a VC-funded innovator building an agentic AI platform for the enterprise especially biopharma and life sciences industries. Our enterprise-grade platform enables rapid deployment of complex AI agent workflows that continuously learn, adapt, and evolve — delivering measurable ROI for pharmaceutical and biotech clients. Position Summary As the Sr Software Engineer - Agentic AI, you will lead the architecture, coding, integration, and deployment of advanced agentic AI solutions tailored to various industries specifically to the pharmaceutical, biotech and life sciences sector. This role requires deep technical engineering skills combined with domain expertise in biopharma analytics, enabling clients to unlock new levels of automation, insight, and forecasting accuracy. You will work hands-on with Python, AI/ML frameworks, and data engineering pipelines while collaborating with A79.ai’s product, data science, and client teams to design and implement robust AI-driven forecasting, analytics, and decision-support solutions. Key Responsibilities End-to-End Solution Engineering: Architect, code, and deploy agentic AI-powered systems, integrating life sciences data in real-world evidence, market dynamics, and internal client datasets. Model Development: Build advanced AI agents in Python, leveraging statistical methods, AI/ML techniques, and automation to support commercial strategy and portfolio planning. Custom AI Workflow Design: Develop and optimize reusable Python-based agent workflows for biopharma & enterprise use cases, ensuring scalability and maintainability. Systems Integration & Data Pipelines: Engineer robust data pipelines to integrate client systems, third-party APIs, and internal datasets into forecasting workflows, ensuring reliability, security, and performance. Technical Client Advisory: Serve as the principal technical point of contact for enterprise clients, translating complex AI engineering details into business-relevant insights. Performance Monitoring & Optimization: Implement automated monitoring, logging, and retraining frameworks to ensure ongoing model accuracy and stability. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or related technical discipline. 3 to 5+ years hands-on engineering experience in AI/ML solutions , data pipelines, or enterprise analytics preferably within biopharma or life sciences. Preferred Qualification: Familiarity with Biotech, pharmaceutical, Life sciences use cases & technical complexities in commercial, marketing, marketing ops, medical, patient services or related use cases. Advanced or Expert-level Python programming skills with proficiency in pandas, Num Py, scikit-learn, Py Torch or Tensor Flow. Experience with agentic AI platforms and automation frameworks. Familiarity with cloud platforms (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes). Strong communication skills for cross-functional and client-facing work. High energy, detail-oriented, self-motivated, and committed to delivering scalable, production-ready solutions. Industry Software Development / Biotechnology Employment Type Full-time
Sr Software Engineer - Machine Learning
Posted today
Job Viewed
Job Description
A79.ai is a VC-funded innovator building an agentic AI platform for the enterprise especially biopharma and life sciences industries. Our enterprise-grade platform enables rapid deployment of complex AI agent workflows that continuously learn, adapt, and evolve — delivering measurable ROI for pharmaceutical and biotech clients.
Position Summary
As the Sr Software Engineer - Agentic AI, you will lead the architecture, coding, integration, and deployment of advanced agentic AI solutions tailored to various industries specifically to the pharmaceutical, biotech and life sciences sector. This role requires deep technical engineering skills combined with domain expertise in biopharma analytics, enabling clients to unlock new levels of automation, insight, and forecasting accuracy.
You will work hands-on with Python, AI/ML frameworks, and data engineering pipelines while collaborating with A79.ai’s product, data science, and client teams to design and implement robust AI-driven forecasting, analytics, and decision-support solutions.
Key Responsibilities
End-to-End Solution Engineering: Architect, code, and deploy agentic AI-powered systems, integrating life sciences data in real-world evidence, market dynamics, and internal client datasets.
Model Development: Build advanced AI agents in Python, leveraging statistical methods, AI/ML techniques, and automation to support commercial strategy and portfolio planning.
Custom AI Workflow Design: Develop and optimize reusable Python-based agent workflows for biopharma & enterprise use cases, ensuring scalability and maintainability.
Systems Integration & Data Pipelines: Engineer robust data pipelines to integrate client systems, third-party APIs, and internal datasets into forecasting workflows, ensuring reliability, security, and performance.
Technical Client Advisory: Serve as the principal technical point of contact for enterprise clients, translating complex AI engineering details into business-relevant insights.
Performance Monitoring & Optimization: Implement automated monitoring, logging, and retraining frameworks to ensure ongoing model accuracy and stability.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or related technical discipline.
3 to 5+ years hands-on engineering experience in AI/ML solutions , data pipelines, or enterprise analytics preferably within biopharma or life sciences.
Preferred Qualification: Familiarity with Biotech, pharmaceutical, Life sciences use cases & technical complexities in commercial, marketing, marketing ops, medical, patient services or related use cases.
Advanced or Expert-level Python programming skills with proficiency in pandas, NumPy, scikit-learn, PyTorch or TensorFlow.
Experience with agentic AI platforms and automation frameworks.
Familiarity with cloud platforms (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes).
Strong communication skills for cross-functional and client-facing work.
High energy, detail-oriented, self-motivated, and committed to delivering scalable, production-ready solutions.
Industry Software Development / Biotechnology
Employment Type Full-time