4,226 Sap Joule AI Specialist jobs in India

• Strong Working Python, C++, C expertise -
• Background in natural language processing and/or machine learning -
• Strong Computer Science fundamentals (algorithms, data structures) -
• Industry experience developing multi-threaded applications -
• Mathematical background (probability & statistics) a strong plus
• Knowledge of SQL, PL/SQL and standard RDBMSs a plus

Urgent Requirement: 2

Job Opening: Angular Developer

Location : bangalore (onsite)

Salary : 20 LPA

Experience: 5 to 7 years

Job type : work from office

Immediate joiners needed

Required Qualifications:
4.9 years of experience with the Angular framework (versions 10, 11 ,12)

4.9 years of Experience with API technologies such as REST and JSON

Knowledge of database structures and design

General hands-on experience with the foundational web technologies such such as HTML5, CSS3, Responsive Design, HTML APIs, REST APIs

Qualifications:
Strong knowledge and experience in Javascript/Typescript

Proficiency with cloud computing services (AWS/Google Cloud/MS Azure)

Experience with Git (forking, branching, merging).

Experience working as a member of a small agile software development team.

**Salary**: Up to ₹2,000,000.00 per year

Ability to commute/relocate:

- Delhi, Delhi: Reliably commute or planning to relocate before starting work (required)

**Experience**:

- total work: 5 years (preferred)

**Speak with the employer**
+91

**Responsibilities**:

- Collaborate with senior engineers and data scientists to develop, implement, and maintain machine learning models.
- Clean, preprocess, and analyze large datasets to extract meaningful insights.
- Assist in the design and development of algorithms for various machine learning tasks such as classification, regression, clustering, and anomaly detection.
- Conduct experiments to evaluate model performance and propose enhancements.
- Stay updated with the latest advancements in machine learning and related fields.
- Communicate findings and results effectively to technical and non-technical stakeholders.

**Requirements**:

- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field.
- Solid understanding of machine learning algorithms and concepts.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with popular machine learning libraries/frameworks.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Experience with data visualization tools is a plus.
- Previous experience with big data technologies is advantageous.

Pay: ₹5,000.00 - ₹30,000.00 per month

Schedule:

- Day shift
- Monday to Friday

**Experience**:

- total work: 1 year (preferred)

Work Location: In person

**AI/ML Intern**

**Responsibilities**:

- Collaborate with engineers to conduct research, data analysis, and model development
- Test and validate AI/ML models to ensure their accuracy and effectiveness
- Collaborate with the development team to integrate AI/ML models into products
- Develop minimum viable products based on machine learning
- Come up with improvements to machine-learning algorithms
- Utilize modern software development methodologies, and deploy software in production
- Work on advanced coding in various languages
- Coordinate with multiple teams internally and externally
- Conduct statistical analysis and interpret the results essential in the decision-making process for the organization
- Automate important infrastructure for the data science team
- Develop infrastructure for data transformation and ingestion
- Document all development activities and ensure that code is maintainable, scalable, and secure

**Requirements**:
1. Knowledge of programming languages, preferably Python & R is necessary
2. Domain knowledge in mathematics and statistics, linear algebra, and calculus is required
3. Understand various frameworks and libraries such as Tensor Flow, SciPy, NumPy, scikit-learn, and Apache Spark

**Benefits**:

- Hands-on experience in AI/ML projects
- Opportunity to work with experienced professionals in the field
- Exposure to the latest technologies and industry trends

**Salary**: ₹7,000.00 per month

Schedule:

- Morning shift

**AI/ML Intern**

**Responsibilities**:

- Collaborate with engineers to conduct research, data analysis, and model development
- Test and validate AI/ML models to ensure their accuracy and effectiveness
- Collaborate with the development team to integrate AI/ML models into products
- Develop minimum viable products based on machine learning
- Come up with improvements to machine-learning algorithms
- Utilize modern software development methodologies, and deploy software in production
- Work on advanced coding in various languages
- Coordinate with multiple teams internally and externally
- Conduct statistical analysis and interpret the results essential in the decision-making process for the organization
- Automate important infrastructure for the data science team
- Develop infrastructure for data transformation and ingestion
- Document all development activities and ensure that code is maintainable, scalable, and secure

**Requirements**:
1. Knowledge of programming languages, preferably Python & R is necessary
2. Domain knowledge in mathematics and statistics, linear algebra, and calculus is required
3. Understand various frameworks and libraries such as Tensor Flow, SciPy, NumPy, scikit-learn, and Apache Spark

**Benefits**:

- Hands-on experience in AI/ML projects
- Opportunity to work with experienced professionals in the field
- Exposure to the latest technologies and industry trends

**Salary**: ₹7,000.00 per month

Schedule:

- Morning shift

Application Question(s):

- Do you prior internship experience ?

**Education**:

- Bachelor's (preferred)

Work Location: Remote

**About us:**
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here ( .
We are building Machine Learning Platform to enable MLOPs capabilities to help Data scientists and ML engineers at Target to implement ML solutions at scale. It encompasses building the Featurestore, Model ops, experimentation, iteration, monitoring, explainability, and continuous improvement of the machine learning lifecycle. You will be part of a team building scalable applications by leverage latest technologies. Connect with us if you want to join us in this exiting journey.
**As a Engineer, you'll take the lead as you.**
You will build applications for Target's MLPlatform to enable capabilities to help data scientists, ML engineers and Data engineers at Target . You will be part of a team building highly scalable, event driven applications and leverage technologies. You understand Target's business and technical environments, resolve complex challenges via technical solutions as well as be a significant code contributor, manage software development cycle, drive best practices and ensure development of high-quality code with compliance & security standards. The Engineer is a practitioner of rapid prototyping and Agile, DevOps, CI/CD, test-driven development and stays current with new technology to be able to assess viability and applicability to Target's business and technical environments.
**Tech stack:** Java, SpringBoot, Microservices, Python, Cassandra, Elastic Search, Postgres, Kafka, Docker, CICD, GCP cloud skills, GCP Machine Learning Engineer skills , GCP VertexAI skills
**About you:**
+ 4 year degree or equivalent experience
+ 1.5+ years of software development experience
+ Experience in building applications using JVM languages like Java, Kotlin
+ Exposure in building high-performance scalable APIs.
+ Good to have experience in building Python applications, Fast API etc
+ Good to have Machine Learning Engineer skills
+ Having GCP cloud skills, GCP Machine Learning Engineer skills , GCP VertexAI skills would be added advantage
+ Experience in microservices, Spring Boot, cloud development, NoSQL databases, and event driven architecture
+ Experience with NoSQL technologies Cassandra, Elastic search, MongoDB is a plus
+ Deep experience writing unit and functional tests and test-driven development
+ Experience building CI/CD pipelines
+ Strong problem solving and debugging skills

**Job Title:** Machine Learning Engineer
**Location:** Hybrid
**Job Type:** Full-time
**About Us:**
Ralliant is at the forefront of leveraging data and AI technologies to drive innovation across Precision Tech Industries. We aim to solve real-world challenges by combining advanced machine learning, cloud computing, and generative AI to deliver cutting-edge solutions. We're looking for a talented and passionate **MLE** to join our dynamic team and help us continue to push the boundaries of AI.
· **Model Deployment & MLOps:**
+ Design, build, and maintain machine learning pipelines, ensuring continuous integration and deployment (CI/CD) of models in production environments.
+ Deploy machine learning models as APIs, microservices, or serverless functions for real-time inference.
+ Manage and scale machine learning workloads using Kubernetes, Docker, and cloud-based infrastructure (AWS, Azure, GCP).
· **Automation & Scripting:**
+ Automate routine tasks across the ML lifecycle (data preprocessing, model training, evaluation, deployment) using Python, Bash, and other scripting tools.
+ Implement automation for end-to-end model management and monitor pipelines for health, performance, and anomalies.
· **Cloud Platforms & Infrastructure:**
+ Utilize cloud platforms (AWS, Azure, GCP) to optimize the scalability, performance, and cost-effectiveness of ML systems.
+ Leverage Infrastructure as Code (IaC) tools like Terraform or CloudFormation to provision and manage cloud resources effectively.
· **Data Pipelines & Integration:**
+ Build and maintain robust data pipelines to streamline data ingestion, preprocessing, and feature engineering.
+ Work with both structured and unstructured data sources and databases (SQL, NoSQL) to feed data into ML models.
· **Monitoring, Logging & Troubleshooting:**
+ Set up monitoring and logging systems to track model performance, detect anomalies, and maintain system health.
+ Diagnose and resolve issues across the machine learning pipeline and deployed models.
· **Collaboration & Communication:**
+ Collaborate closely with data scientists, software engineers, and business stakeholders to ensure machine learning models meet the required business objectives and performance standards.
+ Effectively communicate complex ML concepts and technical details to non-technical stakeholders.
· **GenAI & AI Agents Expertise:**
+ Stay up to date with the latest trends in Generative AI (e.g., GPT models, Diffusion models) and AI agents, and bring this expertise into production environments.
+ Design and deploy advanced GenAI solutions, ensuring they are aligned with business needs and ethical AI principles.
· **Security & Compliance:**
+ Implement robust security measures for machine learning models and ensure compliance with relevant data protection and privacy regulations.
+ Address vulnerabilities, ensuring safe and secure deployment of models in production environments.
· **Optimization & Cost Management:**
+ Optimize machine learning resources (compute, memory, storage) to achieve high performance while minimizing operational costs.
+ Regularly review and improve the efficiency of machine learning workflows.
· **Testing & Validation:**
+ Develop and execute rigorous testing and validation strategies to ensure the reliability, accuracy, and fairness of deployed models.
+ Use automated testing frameworks to continuously validate model performance.
**Required Skills & Qualifications:**
+ **Education** : Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
+ **Experience** :
+ Proven experience (3+ years) in machine learning engineering, MLOps, or related fields.
+ Experience with deploying and managing machine learning models in production using tools like Kubernetes, Docker, and CI/CD pipelines.
+ Hands-on experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (Terraform, CloudFormation).
+ Strong coding experience in Python, Bash, or other scripting languages.
+ Expertise in Generative AI models (e.g., GPT, GANs) and their deployment at scale.
+ Experience working with databases (SQL, NoSQL) and building data pipelines.
+ **DevOps & CI/CD** :
+ Knowledge of DevOps tools and practices, including version control (Git), automated testing, and continuous integration/deployment.
+ **AI Agents** : Familiarity with the latest AI agent frameworks and their deployment in real-world applications.
+ **Data Science Concepts** : Solid understanding of GenAI,NLP, Computer Vision, machine learning algorithms, data structures, and model evaluation techniques.
+ **Problem-Solving** : Strong troubleshooting and debugging skills to quickly identify and fix issues within ML pipelines and deployments.
+ **Collaboration & Communication** : Excellent communication skills with the ability to work in a cross-functional team and explain technical concepts to non-technical stakeholders.
**Preferred Qualifications:**
+ Certification in Cloud Technologies (AWS, Azure, GCP) and MLOps platforms.
+ Experience with large-scale ML systems and distributed computing.
+ Understanding of ethical AI practices and AI fairness.
+ Familiarity with cutting-edge AI technologies like reinforcement learning, AI agents, and deep learning.
**Technical Skills:**
+ Proficiency in Python, R, or other relevant programming languages.
+ Strong knowledge of machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
+ Experience with SQL and cloud-native data processing tools (e.g., AWS Redshift, Azure Synapse, Spark).
+ Familiarity with DevOps practices and CI/CD pipelines for ML model deployment.
**Soft Skills:**
+ Strong communication skills with the ability to translate complex technical concepts into business-friendly language.
+ Problem-solving mindset, with the ability to approach challenges creatively and collaborate with diverse teams.
+ Leadership potential or experience mentoring junior team members.
**Preferred Qualifications:**
+ Certification or training in AWS (e.g., AWS Certified Machine Learning), Azure, or other cloud services.
+ Experience working with containerization technologies like Docker and Kubernetes for model deployment.
+ Exposure to the latest trends in AI ethics, explainability, and fairness.
**Company Overview:**
Join a dynamic and innovative team at Ralliant, a leader in producing high-tech measurement instruments and essential sensors. Our brands, including Tektronix, Qualitrol, Sensing Technologies and Pacific Scientific, are at the forefront of technological advancements, providing critical products that drive innovation across various industries. At Ralliant, we are committed to excellence and continuous improvement, delivering top-tier solutions that meet the evolving needs of our Operating Companies
**These are the traits we value:**
+ You are collaborative, proactive, adaptable, and gritty. You excel at facilitating and reconciling inputs across separated geo-located teams. You balance a passion for deep understanding of innovation with the ability to deliver extraordinary results.
+ Ability to Deliver Results: A track record for delivering results with concrete financial and operational objectives as well as the capacity to organize and direct a small team.
+ Entrepreneurial Attitude: A proactive outlook that provides the chutzpah needed to overcome barriers, creatively problem solve, and test conventional thinking.
+ Comfort with Ambiguity: A willingness and aptitude for spending time in and thriving with deep uncertainty and environments where there is no clear "right answer".
+ Passion for Innovation: A demonstrated interest and desire to participate in innovation through personal study, on-the-job initiative, or other endeavors.
+ Positive Outlook: A desire to look past the objections in search of the opportunity.
+ Strong Communication Skills: An ability to explain new concepts clearly and succinctly, able to negotiate and persuade others to your point of view.
+ A need for speed; demonstrated ability to make decisions quickly and to act upon them.
+ Alongside a team of entrepreneurial, high-performing, curious people, you'll deliver breakthrough solutions to drive sustainable growth for Ralliant
**Bonus or Equity**
This position is also eligible for bonus as part of the total compensation package.
**Ralliant Corporation Overview**
Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life - faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we're building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.
We Are an Equal Opportunity Employer
Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
**About NewCo**
**Bonus or Equity**
This position is also eligible for bonus as part of the total compensation package.