188 Tensorflow jobs in Bangalore

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
* Work with broader team to build, analyze and improve the AI solutions.
* You will also work with our software developers in consuming different enterprise applications.
**Required technical and professional expertise**
* Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.
* Proficient in Python with focus on Data Analytics Packages.
* Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions.
* Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.
* Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models
**Preferred technical and professional experience**
* Experience with conversation analytics. Experience with cloud technologies
* Experience with data exploration tools such as Tableu
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
* Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.
* Proficient in Python with focus on Data Analytics Packages.
* Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions.
* Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.
* Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models
**Required technical and professional expertise**
* Experience with conversation analytics. Experience with cloud technologies
* Experience with data exploration tools such as Tableu
**Preferred technical and professional experience**
* Work with broader team to build, analyze and improve the AI solutions.
* You will also work with our software developers in consuming different enterprise applications
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
The IBM Z organization is looking for an AI on Z Software Manager to work with topics including open source packages, Linux on Z , and technical enablement for business scale out of AI. An ideal candidate would be experienced with AI concepts, familiar with Linux on Z, and comfortable in technology discussions. This candidate should be comfortable learning & teaching new skills, a good people manager and leader. He should have the ability to understand and pick up new areas in the Z System. The candidate should be a good listener and be able to find solutions outside the box for problems to increase productivity of the team and streamline processes. Being a self starter with ability to work on new missions and deal with uncertainty would be a plus.
**Your role and responsibilities**
1. Lead the development and deployment of AI products in production environments, leveraging deep expertise in AI/ML and Data Science to ensure scalability, reliability, and efficiency.
2. Direct the implementation and optimization of machine learning algorithms, neural networks, and statistical modeling techniques, personally driving solutions for complex problems.
3. Personally oversee the development and deployment of large language models (LLMs) in production environments, demonstrating knowhow on process optimization to increase efficiency of the production environments including DevOps pipelines.
4. Collaborate closely with cross-functional teams to integrate DevOps pipelines and Test Automation frameworks with CI/CD tools for continuous integration and deployment, taking a hands-on approach to ensure seamless integration and efficiency.
5. Proactively stay abreast of the latest advancements in AI/ML technologies and actively contribute to the development and improvement of AI frameworks and libraries, leading by example in fostering innovation.
6. Effectively communicate technical concepts to non-technical stakeholders, showcasing excellent communication and interpersonal skills while leading discussions and decision-making processes.
7. Uphold industry best practices and standards in AI engineering under your direct leadership, maintaining unwavering standards of code quality, performance, and security throughout the development lifecycle.
**Required technical and professional expertise**
Demonstrated leadership with around 18 plus years of experience in the systems industry. Should have 5 plus years of experience exclusively in leading teams of 15-30 people. Proven ability to lead teams and take ownership of end-to-end activities.
2. Ability to understand AI solutions and lead complex AI missions.
3. Strong working experience in the big endian systems, network concepts, GPUs.
4. Strong grounding in traditional AI methodologies, covering machine learning and deep learning frameworks, with the capacity to guide and mentor team members.
5. Proficient in utilizing model serving platforms such as TGIS and vLLM, with a knack for overseeing project implementations from conception to delivery.
6. Mastery of Python, C++, and relevant ML libraries (e.g., TensorFlow, PyTorch) for developing top-tier, production-grade products. Proven ability to lead technical teams in the implementation of complex solutions.
7. Familiarity with Linux platforms and experience in Linux app and system development, demonstrating leadership in guiding teams through the development lifecycle.
8. Experience in Generative AI is highly advantageous, with the ability to provide leadership and direction in exploring innovative AI techniques.
9. Proficiency in AI compiler/runtime skills, showcasing leadership in driving optimization efforts and performance enhancements would be a plus.
10. Familiarity with processes for open-source contribution, exhibiting leadership by actively participating in and guiding team members through contributions to open-source AI projects and frameworks.
**Preferred technical and professional experience**
* Preferred expertise in transformer-based and diffuser-based models (e.g., BERT, GPT, T5, Llama, Stable diffusion), coupled with hands-on involvement in testing AI algorithms and models.
* Preferred expertise in parallel programming, HPC
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
An AI Data Scientist at IBM is not just a job title - it's a mindset. You'll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.
We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable.
Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.
Day-to-Day Duties:
- Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
- Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
- Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
- Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
**Required technical and professional expertise**
* Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
* Experience and working knowledge in COBOL & JAVA would be preferred
o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
* Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
* Experience in python and pyspark will be added advantage
**Preferred technical and professional experience**
* Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
* Strong track record in scientific publications or open-source communities
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
An AI Data Scientist at IBM is not just a job title - it's a mindset. You'll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.
We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable.
Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.
Day-to-Day Duties:
- Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
- Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
- Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
- Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
**Required technical and professional expertise**
* Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
* Experience and working knowledge in COBOL & JAVA would be preferred
o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
* Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
* Experience in python and pyspark will be added advantage
**Preferred technical and professional experience**
* Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
* Strong track record in scientific publications or open-source communities
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
An AI Data Scientist at IBM is not just a job title - it's a mindset. You'll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.
We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable.
Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.
Day-to-Day Duties:
- Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
- Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
- Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
- Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
**Required technical and professional expertise**
* Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
* Experience and working knowledge in COBOL & JAVA would be preferred
o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
* Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
* Experience in python and pyspark will be added advantage
**Preferred technical and professional experience**
* Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
* Strong track record in scientific publications or open-source communities
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
An AI Data Scientist at IBM is not just a job title - it's a mindset. You'll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.
We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable.
Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.
Day-to-Day Duties:
- Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
- Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
- Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
- Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
**Required technical and professional expertise**
* Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
* Experience and working knowledge in COBOL & JAVA would be preferred
o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
* Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
* Experience in python and pyspark will be added advantage
**Preferred technical and professional experience**
* Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
* Strong track record in scientific publications or open-source communities
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
* As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders.
* In your role, you may be responsible for:
* Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects
* Writing programs to cleanse and integrate data in an efficient and reusable manner
* Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
* Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
* Evaluating modelling results and communicating the results to technical and non-technical audiences.
**Required technical and professional expertise**
* Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
* Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
* Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
* Document solution architectures, design decisions, implementation details, and lessons learned.
* Create technical documentation, white papers, and best practice guides.
**Preferred technical and professional experience**
* Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
* Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
* Experience and working knowledge in COBOL & JAVA would be preferred.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Position:**
Artificial Intelligence Engineer III
**Job Description:**
● Requires in-depth knowledge and experience
● Solves complex problems; takes a new perspective using existing solutions
● Works independently; receives minimal guidance
● Acts as a resource for colleagues with less experience
● Represents the level at which career may stabilize for many years or even until retirement
● Uses best practices and knowledge of internal or external business issues to improve products/services or processes
● Typically resolves complex problems or problems where precedent may not exist
● Often leads the work of project teams; may formally train junior staff
● Works independently
**Location:**
IN-KA-Bangalore, India (SKAV Seethalakshmi) GESC
**Time Type:**
Full time
**Job Category:**
Information Technology
Arrow Electronics, Inc.'s policy is to provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, marital status, gender identity or expression, sexual orientation, national origin, disability, citizenship, veran status, genetic information, or any other characteristics protected by applicable state, federal or local laws. Our policy of equal employment opportunity and affirmative action applies to all employment decisions personnel policies and practices, or programs.