6868 Tensorflow Jobs - Page 24

Job Summary: We are looking for an enthusiastic and knowledgeable AI Trainer with 2 to 3 years of experience in training or working on AI/ML technologies. The ideal candidate should have a strong foundation in AI concepts, hands-on coding skills, and a passion for teaching. Key Responsibilities: Deliver training sessions on AI, Machine Learning, and Deep Learning topics (instructor-led online or in-person). Design, update, and maintain training materials, hands-on exercises, and real-world projects. Guide learners through assignments, projects, and assessments. Stay updated with the latest AI trends, tools, and technologies. Provide mentorship and technical support to learners. Assess learner progress and provide constructive feedback. Required Skills and Experience: 2 to 3 years of professional experience in AI/ML development or training roles. Proficient in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Solid understanding of Machine Learning algorithms, NLP, Computer Vision, and Deep Learning concepts. Experience in creating or delivering training content. Strong communication and presentation skills. Bachelor's or Master’s degree in Computer Science, Data Science, or related fields. Preferred Qualifications: Prior experience as a trainer or mentor in EdTech or corporate training. Knowledge of tools like Jupyter Notebook, Google Colab, or AWS/GCP ML tools. Certification in AI/ML (e.g., TensorFlow Developer Certificate, Google ML certification) is a plus Job Types: Full-time, Freelance Pay: ₹20,000.00 - ₹35,000.00 per month Experience: Freelance Trainer: 2 years (Required) Location: Salem, Tamil Nadu (Required) Work Location: In person Application Deadline: 21/07/2025 Expected Start Date: 20/07/2025

About the job HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel. In this this position you will part of HERE’s Places Ingestion team, which is responsible for discovering Points Of Interest (Places) by processing large volumes of raw data from a variety of sources to improve the content coverage, accuracy, and freshness. You will be part of an energetic and dedicated team that works on challenging tasks in distributed processing of large data & streaming technologies. In addition to the technical challenges this position offers, you will have every opportunity to expand your career both technically and personally in this role. Whats the role: You will help design and build the next iteration of processes to improve quality of Place attributes employing machine learning. You will maintain up-to-date knowledge of research activities in the general fields of machine learning and LLMs. Utilize machine learning algorithms/LLMs to generate translation/transliterations, standardization/derivation rules, extract place attributes such as name, address, category and hours of operations from web sites using web scraping solutions. Participate in both algorithm and software developments as a part of a scrum team, and contribute artifacts (software, white-paper, datasets) for project reviews and demos. Collaborate with internal and external team members (researchers and engineers) on expertly implementing the new features to the products or enhancing the existing features. With end-to-tend aspects like developing, testing, and deploying. Who Are you? You are determined and have the following to be successful in the role: MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, Data Science, or others with an emphasis or thesis work on one or more of the following areas: statistics/science/engineering, data analysis, machine learning, LLMs 5+ years of experience in Data Science field. Proficient with at least one of the deep learning frameworks like Tensorflow, Keras and Pytorch. Programming experience with Python, shell script Applied statistics or experimentation (i.e. A/B testing, root cause analysis, etc) Unsupervised Machine learning methods (i.e. clustering, Bayesian, etc) HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics

Timing : 2 to 11 PM Work Location : Chennai & Hyderabad & Bangalore Primary Skill : Playwright Secondary Skill : AI, ML, Gen AI, Copilot, Chatgpt Job Description : 7+ years of experience in software testing with at least 2 years focused on AI/ML integration Strong proficiency in Python, R, or similar languages used for AI/ML development Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) Knowledge of Large Language Models and their integration via APIs (OpenAI, Anthropic, Google AI, etc.) Understanding of natural language processing, computer vision, and deep learning concepts Experience with AI/ML model training, validation, and deployment in production environments Knowledge of prompt engineering and fine-tuning techniques for LLMs. Testing & Automation Expertise Strong background in test automation frameworks (Selenium, Playwright, Cypress, REST Assured, etc.) Experience with API testing, performance testing, and security testing methodologies Knowledge of CI/CD tools and DevOps practices Understanding of various testing types including functional, non-functional, and exploratory testing Experience with test management tools and defect tracking systems Knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies Programming & Development Proficiency in multiple programming languages (Python, Java, JavaScript, C#, etc.) Experience with database technologies and SQL for test data management Knowledge of version control systems (Git) and collaborative development practices Understanding of software architecture patterns and design principles Experience with API development and integration techniques

Roles & Responsibilities : Responsible for developing new features and models as part of our core product through applied research. Understand, apply and extend state-of-the-art NLP research to better serve our customers. Work closely with engineering, product, and customers to scientifically frame the business problems and come up with the underlying AI models Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business. Think creatively to identify new opportunities and contribute to high-quality publications orpatents. Desired Qualifications and Experience : At Least 1 year of professional experience. Bachelors in Computer Science or related fields from the top colleges. Extensive knowledge and practical experience in one or more of the following areas: machine learning, deep learning, NLP, recommendation systems, information retrieval. Experience applying ML to solve complex business problems from scratch. Experience with Python and a deep learning framework like Pytorch/Tensorflow. Awareness of the state of the art research in the NLP community. Excellent verbal and written communication and presentation skills.

Company: MetaForData Technologies Pvt. Ltd. Location : Pune | Hybrid | Remote flexibility Experience : 15+ Years Role Overview: We are seeking an accomplished Solution Architect with deep expertise in Cloud platforms (AWS/Azure/GCP) and AI/ML-driven solutioning. This strategic role involves architecting scalable, secure, and intelligent systems across diverse industries. You will collaborate with cross-functional teams to design next-gen platforms, mentor engineering teams, and influence technology vision. Key Responsibilities: Lead end-to-end architecture for large-scale, cloud-native platforms integrating AI/ML capabilities Design and review solutions that scale across hybrid/multi-cloud environments (AWS/Azure/GCP) Translate business requirements into technical strategies and reference architectures Guide data engineering, ML Ops, DevOps, and platform teams in implementing reusable components Define and govern architectural best practices, security standards, and compliance (e.g., GDPR, HIPAA) Collaborate with product leaders, delivery managers, and clients to ensure architectural alignment Evaluate emerging technologies, prototype solutions, and drive innovation adoption Contribute to client proposals, solution demos, and technical leadership in pre-sales Required Skills & Qualifications : 15+ years of experience in enterprise IT with at least 5 years as a Solution Architect Proven expertise in designing distributed systems on AWS / Azure / GCP Hands-on experience in building and deploying AI/ML models, pipelines, and intelligent platforms Strong understanding of data architecture, data lakes, ML Ops, and real-time analytics Proficient in Python, Java, or equivalent, and modern ML frameworks (TensorFlow, PyTorch, etc.) Familiarity with API-led integration, microservices, containerization (Docker, Kubernetes) Solid grasp of security, compliance frameworks, and governance models Strong stakeholder communication and team mentorship abilities Good to Have: Certifications: AWS/Azure/GCP Architect, TOGAF, or equivalent Experience in regulated domains such as healthcare, finance, or agriculture tech Exposure to generative AI (e.g., OpenAI, LLM-based architectures) Why Join MetaForData? Work on real-world AI and data transformation projects across industries Lead with autonomy and innovation in a fast-growing, impact-driven environment Be part of a leadership ecosystem that values vision, ethics, and engineering excellence Competitive compensation + equity options + performance incentives Apply Now: If you’re a visionary technologist with a passion for scalable solutions and intelligent systems, we’d love to connect. 📩 careers@metafordata.com | 🌐 www.metafordata.com

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working with various technologies such as deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams will be essential to ensure the successful deployment of AI-driven solutions. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve existing processes to enhance efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning Operations. - Strong understanding of cloud-based AI services and deployment strategies. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with data preprocessing and feature engineering techniques. - Knowledge of version control systems, particularly Git. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning Operations. - This position is based at our Chennai office. - A 15 years full time education is required.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the design and implementation of AI-driven applications, ensuring they are scalable and maintainable. - Mentor junior team members, fostering a culture of learning and innovation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to work with data preprocessing and feature engineering for model training. -Strong programming skills in Python, RAG, Prompt Engineering, RAI, OpenAI APIs, Lang Chain, expert working knowledge on OpenAI / Gemini models, Agentic framework, Code Conversion experience for reverse and forward engineering Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Chennai office. - A 15 years full time education is required.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the design and implementation of AI-driven applications, ensuring they are scalable and maintainable. - Mentor junior team members, fostering a culture of learning and innovation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services, particularly in deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to work with data preprocessing and feature engineering for model training. -Strong programming skills in Python, RAG, Prompt Engineering, RAI, OpenAI APIs, Lang Chain, expert working knowledge on OpenAI / Gemini models, Agentic framework, Code Conversion experience for reverse and forward engineering Additional Information: - The candidate should have minimum 7.5 years of experience in Large Language Models. - This position is based in Chennai. - A 15 years full time education is required.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services for AI deployment. - Familiarity with data preprocessing and feature engineering techniques. - Knowledge of natural language processing and its applications. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required., 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Prompt Engineering, Manual Testing Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to continuous learning in the rapidly evolving field of artificial intelligence. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the design and implementation of AI-driven applications and systems. - Collaborate with team members to identify and resolve technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering. - Strong understanding of AI tools and cloud services. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques. - Knowledge of software development best practices and version control systems. Additional Information: - The candidate should have minimum 3 years of experience in Prompt Engineering. - This position is based at our Hyderabad office. - A 15 years full time education is required., 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment., 15 years full time education

Job Title: AWS Data Engineer 📍 Location: Remote (India) 🕒 Experience: 3+ Years 💼 Employment Type: Full-Time About the Role: We’re looking for a skilled AWS Data Engineer with 3+ years of hands-on experience in building and managing robust, scalable data pipelines using AWS services. The ideal candidate will have a strong foundation in processing both structured and unstructured data, particularly from IoT/sensor sources. Experience in the energy sector and with time-series data is highly desirable. Key Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines using AWS Glue, Redshift, Lambda, EMR, S3, and Athena Integrate and process structured, unstructured, and real-time sensor/IoT data Ensure pipeline performance, reliability, and fault tolerance Collaborate with data scientists, analysts, and engineering teams to build analytics-ready solutions Transform data using Python, Pandas , and SQL Enforce data integrity, quality, and security standards Use Terraform and CI/CD tools (e.g., Azure DevOps) for infrastructure and deployment automation Monitor workflows, troubleshoot pipeline issues, and implement solutions Explore and contribute to the use of modern AWS tools like Bedrock, Textract, Rekognition , and GenAI applications Required Skills & Qualifications: Bachelor’s/Master’s in Computer Science, IT, or related field Minimum 3 years of experience in AWS data engineering Proficient in: AWS Glue, Redshift, S3, Lambda, EMR, Athena Python, Pandas, SQL RDS, Postgres, SAP HANA Strong knowledge of data modeling, warehousing, and pipeline orchestration Experience with Git and Infrastructure as Code using Terraform Preferred Skills: Experience with energy sector data or sensor-based/IoT data Exposure to ML tools like SageMaker, TensorFlow, Scikit-learn Familiarity with Apache Spark, Kafka Experience with data visualization tools: Tableau, Power BI, AWS QuickSight Awareness of data governance tools like AWS Data Quality, Collibra, Databrew AWS certifications (e.g., Data Analytics Specialty, Solutions Architect Associate)

Job Title - + + Management Level: Location: Kochi, Coimbatore, Trivandrum Must have skills: Python/Scala, Pyspark/Pytorch Good to have skills: Redshift Job Summary You’ll capture user requirements and translate them into business and digitally enabled solutions across a range of industries. Your responsibilities will include: Responsibilities Roles and Responsibilities Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals Solving complex data problems to deliver insights that helps our business to achieve their goals. Source data (structured→ unstructured) from various touchpoints, format and organize them into an analyzable format. Creating data products for analytics team members to improve productivity Calling of AI services like vision, translation etc. to generate an outcome that can be used in further steps along the pipeline. Fostering a culture of sharing, re-use, design and operational efficiency of data and analytical solutions Preparing data to create a unified database and build tracking solutions ensuring data quality Create Production grade analytical assets deployed using the guiding principles of CI/CD. Professional And Technical Skills Expert in Python, Scala, Pyspark, Pytorch, Javascript (any 2 at least) Extensive experience in data analysis (Big data- Apache Spark environments), data libraries (e.g. Pandas, SciPy, Tensorflow, Keras etc.), and SQL. 2-3 years of hands-on experience working on these technologies. Experience in one of the many BI tools such as Tableau, Power BI, Looker. Good working knowledge of key concepts in data analytics, such as dimensional modeling, ETL, reporting/dashboarding, data governance, dealing with structured and unstructured data, and corresponding infrastructure needs. Worked extensively in Microsoft Azure (ADF, Function Apps, ADLS, Azure SQL), AWS (Lambda,Glue,S3), Databricks analytical platforms/tools, Snowflake Cloud Datawarehouse. Additional Information Experience working in cloud Data warehouses like Redshift or Synapse Certification in any one of the following or equivalent AWS- AWS certified data Analytics- Speciality Azure- Microsoft certified Azure Data Scientist Associate Snowflake- Snowpro core- Data Engineer Databricks Data Engineering About Our Company | Accenture , Experience: 3.5 -5 years of experience is required Educational Qualification: Graduation (Accurate educational details should capture)

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to work with data preprocessing and feature engineering for model training. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required., 15 years full time education

We are seeking a highly skilled and innovative Senior Software Engineer – AI to join our team. The ideal candidate will bring deep expertise in Python programming, Machine Learning (ML), Deep Learning (DL) using TensorFlow or PyTorch, and hands-on experience with Generative AI (GenAI) technologies including Large Language Models (LLMs) and prompt engineering. You will contribute to building intelligent systems, scalable ML pipelines, and end-to-end AI solutions across domains. Key Responsibilities: Design, develop, and deploy robust and scalable AI/ML models and GenAI solutions Implement ML workflows including data preprocessing, feature engineering, model training, validation, and deployment Develop and optimize data pipelines for training and inference Integrate LLMs using prompt engineering techniques to solve domain-specific problems Collaborate with cross-functional teams for solution prototyping using low-code/no-code or rapid development tools Ensure ML model monitoring, versioning, and lifecycle management through MLOps practices Leverage cloud services (AWS, Azure, or GCP) to build and scale AI/ML solutions Research and experiment with Agentic AI and other emerging technologies as applicable Required Skills & Qualifications: 4–6 years of experience in AI/ML development and deployment Strong proficiency in Python and ML/DL frameworks such as TensorFlow or PyTorch Proven experience working with Generative AI, LLMs, and prompt engineering Experience building and managing data pipelines and implementing MLOps Hands-on experience with cloud platforms (AWS, Azure, or GCP) Exposure to low-code/no-code platforms or rapid prototyping tools Strong problem-solving skills and the ability to work in a fast-paced environment Excellent communication and collaboration skills Preferred Qualifications: Experience or research in Agentic AI systems Familiarity with API integrations, vector databases, and model fine-tuning techniques Contributions to open-source AI/ML projects or published research is a plus

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in AI and machine learning. - Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Good To Have Skills: Experience with cloud-based AI services and tools. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience in developing and deploying chatbots and conversational agents. - Familiarity with image processing techniques and applications. Additional Information: - The candidate should have minimum 7.5 years of experience in Large Language Models. - This position is based in Pune. - A 15 years full time education is required.

Roles & Responsibilities Develop and implement machine learning models to address business problems. Perform data preprocessing, feature engineering, and model evaluation using Python. Support AI/ML solution development for use cases such as prediction, classification, clustering, or NLP. Collaborate with teams to understand requirements and deliver actionable insights. Document and present findings to both technical and non-technical stakeholders. Solid understanding of data science concepts, statistics, and algorithms. Experience with machine learning and AI techniques including regression, classification, clustering, etc. Proficiency in Python and libraries like pandas, NumPy, scikit-learn, TensorFlow, or PyTorch. Ability to work with structured and semi-structured data. Strong analytical and problem-solving skills. Experience 3-4.5 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, AI/ML Development, Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: As a Data Science Staff member located in Hyderabad, you are a visionary with a passion for data engineering and analytics. You thrive in dynamic environments and are motivated by the challenge of building robust data infrastructure. Your expertise in data modeling, algorithm development, and data pipeline construction is complemented by your ability to derive actionable insights from complex datasets. You possess a deep understanding of modern data stack tools and have hands-on experience with cloud data warehouses, transformation tools, and data ingestion technologies. Your technical acumen is matched by your ability to collaborate effectively with cross-functional teams, providing support and guidance to business users. You stay ahead of the curve by continuously exploring advancements in AI, Generative AI, and machine learning, seeking opportunities to integrate these innovations into your work. Your commitment to best practices in data management and your proficiency in various scripting languages and visualization tools make you an invaluable asset to our team. What You’ll Be Doing: Building the data engineering and analytics infrastructure for our new Enterprise Data Platform using Snowflake and Fivetran. Leading the development of data models, algorithms, data pipelines, and insights to enable data-driven decision-making. Collaborating with team members to shape the design and direction of the data platform. Working end-to-end on data products, from problem understanding to developing data pipelines, dimensional data models, and visualizations. Providing support and advice to business users, including data preparation for predictive and prescriptive modeling. Ensuring consistency of processes and championing best practices in data management. Evaluating and recommending new data tools or processes. Designing, developing, and deploying scalable AI/Generative AI and machine learning models as needed. Providing day-to-day production support to internal business unit customers, implementing enhancements and resolving defects. Maintaining awareness of emerging trends in AI, Generative AI, and machine learning to enhance existing systems and develop innovative solutions. The Impact You Will Have: Driving the development of a cutting-edge data platform that supports enterprise-wide data initiatives. Enabling data-driven decision-making across the organization through robust data models and insights. Enhancing the efficiency and effectiveness of data management processes. Supporting business users in leveraging data for predictive and prescriptive analytics. Innovating and integrating advanced AI and machine learning solutions to solve complex business challenges. Contributing to the overall success of Synopsys by ensuring high-quality data infrastructure and analytics capabilities. What You’ll Need: BS with 5+ years of relevant experience or MS with 3+ years of relevant experience in Computer Sciences, Mathematics, Engineering, or MIS. 5 years of experience in DW/BI development, reporting, and analytics roles, working with business and key stakeholders. Advanced knowledge of Data Warehousing, SQL, ETL/ELT, dimensional modeling, and databases (e.g., mySQL, Postgres, HANA). Hands-on experience with modern data stack tools, including cloud data warehouses (Snowflake), transformation tools (dbt), and cloud providers (Azure, AWS). Experience with data ingestion tools (e.g., Fivetran, HVR, Airbyte), CI/CD (GitLab, Kubernetes, Airflow), and data catalog tools (e.g., Datahub, Atlan) is a plus. Proficiency in scripting languages like Python, Unix, SQL, Scala, and Java for data extraction and exploration. Experience with visualization tools like Tableau and PowerBI is a plus. Knowledge of machine learning frameworks and libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch) and LLM models is a plus. Understanding of data governance, data integrity, and data quality best practices. Experience with agile development methodologies and change control processes. Who You Are: You are a collaborative and innovative problem-solver with a strong technical background. Your ability to communicate effectively with diverse teams and stakeholders is complemented by your analytical mindset and attention to detail. You are proactive, continuously seeking opportunities to leverage new technologies and methodologies to drive improvements. You thrive in a fast-paced environment and are committed to delivering high-quality solutions that meet business needs. The Team You’ll Be A Part Of: You will join the Business Applications team, a dynamic group focused on building and maintaining the data infrastructure that powers our enterprise-wide analytics and decision-making capabilities. The team is dedicated to innovation, collaboration, and excellence, working together to drive the success of Synopsys through cutting-edge data solutions. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 10th July 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 10th July 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 10th July 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

About Artificial Brain Artificial Brain is a pioneering technology company at the forefront of quantum computing and artificial intelligence. We are dedicated to pushing the boundaries of innovation by developing cutting-edge quantum solutions integrated with advanced machine learning techniques. Join our dynamic team in Pune to shape the future of quantum technology. Role Overview We are seeking a highly skilled and motivated Quantum Engineer to join our R&D team in Pune. The ideal candidate will have extensive expertise in both gate-based and annealing quantum computing approaches, combined with a strong background in machine learning. This role will focus on conducting advanced research and development to design, implement, and optimize quantum algorithms and systems for real-world applications. Key Responsibilities Quantum Algorithm Development : Design and develop quantum algorithms using gate-based and annealing quantum computing frameworks to solve complex computational problems. Machine Learning Integration : Integrate quantum computing solutions with machine learning models to enhance the performance and scalability of AI-driven applications. Research & Development : Conduct cutting-edge research to explore novel quantum computing techniques, hybrid quantum-classical algorithms, and their applications. System Optimization : Optimize quantum circuits and annealing schedules for performance, scalability, and error mitigation on various quantum hardware platforms. Collaboration : Work closely with cross-functional teams, including data scientists, software engineers, and physicists, to develop and deploy quantum-enhanced solutions. Prototyping & Testing : Build and test prototypes of quantum algorithms and systems, ensuring robustness and accuracy in real-world scenarios. Documentation & Reporting : Document research findings, prepare technical reports, and present results to internal teams and external stakeholders. Stay Updated : Keep abreast of the latest advancements in quantum computing, machine learning, and related fields to drive innovation. Required Qualifications Education : Master’s or Ph.D. in Quantum Computing, Physics, Computer Science, Electrical Engineering, or a related field. Experience : 2+ years of hands-on experience in quantum computing, with expertise in both gate-based quantum computing (e.g., Qiskit, Cirq, or similar) and quantum annealing (e.g., D-Wave). Proven experience in applying machine learning techniques (e.g., supervised/unsupervised learning, deep learning, reinforcement learning) to real-world problems. Strong track record in research and development, preferably in quantum computing or a related field. Technical Skills : Proficiency in the Python programming language. Familiarity with quantum computing frameworks (e.g., Qiskit, Cirq) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of quantum hardware platforms and their limitations (e.g., IBM Quantum, Google Quantum, D-Wave). Experience with hybrid quantum-classical algorithms and optimization techniques. Research Skills : Ability to conduct independent research, analyze complex datasets, and publish findings in peer-reviewed journals or conferences. Soft Skills : Strong problem-solving skills, excellent communication, and ability to work collaboratively in a fast-paced, interdisciplinary environment. Preferred Qualifications Experience with quantum machine learning (QML) algorithms and frameworks. Familiarity with cloud-based quantum computing platforms (e.g., AWS Braket, Azure Quantum). Prior work on quantum error correction or noise mitigation techniques. Contributions to open-source quantum computing or ML projects. Published research papers or patents in quantum computing or related fields. Why Join Artificial Brain? Innovative Environment : Work on groundbreaking projects at the intersection of quantum computing and artificial intelligence. Impactful Work : Contribute to transformative technologies that have the potential to revolutionize industries. Growth Opportunities : Access to continuous learning, professional development, and collaboration with world-class experts. Inclusive Culture : Be part of a diverse and inclusive team that values creativity, curiosity, and innovation. Location This position is based in Pune, India , with opportunities for onsite in the UAE and the U.S., depending on project requirements.

Job Description As an Azure Databricks Data Engineer , your responsibilities include: Technical Requirements Gathering and Development of Functional Specifications. Design, develop, and maintain scalable data pipelines and ETL processes using Azure Databricks, Data Factory, and other Azure services. Implement and optimize Spark jobs, data transformations, and data processing workflows in Databricks. Develop and integrate custom machine learning models using Azure Machine Learning, MLflow, and other relevant libraries. Leverage Azure DevOps and CI/CD best practices to automate the deployment and management of data pipelines and infrastructure. Conducting troubleshooting on data models. Work with the Agile multicultural teams in Asia, the EU, Canada, and the USA. Profile Requirements For this position of Azure Databricks Data Engineer , we are looking for someone with: (Required) At least 4 years of experience in developing and maintaining data pipelines using Azure Databricks, Azure Data Factory, and Spark. (Required) Fluent English communication and soft skills. (Required) Knowledge and Experience in CICD such as Terraform, ARM, and Bicep Script. (Required) Solid technical skills in Python, and SQL (Required) Familiarity with machine learning concepts, tools, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, MLflow) (Required) Strong problem-solving, communication, and analytical skills. Willingness to learn and expand technical skills in other areas. Adastra Culture Manifesto Servant Leadership Managers are servants to employees. Managers are elected to make sure that employees have all the processes, resources, and information they need to provide services to clients in an efficient manner. Any manager up to the CEO is visible and reachable for a chat regardless their title. Decisions are taken with a consent in an agile manner and executed efficiently in no overdue time. We accept that wrong decisions happen, and we appreciate the learning before we adjust the process for a continuous improvement. Employees serve clients. Employees listen attentively to client needs and collaborate internally as a team to cater to them. Managers and employees work together to get things done and are accountable to each other. Corporate KPIs are transparently reviewed on monthly company events with all employees. Performance Driven Compensation We recognize and accept that some of us are more ambitious, more gifted, or more hard-working. We also recognize that some of us look for a stable income and lesser hassle at a different stage of their careers. There is a place for everyone, we embrace and need this diversity. Grades in our company are not based on number of years of experience, they are value driven based on everyone’s ability to deliver independently their work to clients and/or lead others. There is no “anniversary/annual” bonus, we distribute bonuses on a monthly recurring basis as an instant gratification for performance and this bonus is practically unlimited. There is no “annual indexation” of salaries, you may be upgraded several times within the year, or none, based on your own pace of progress, ambitions, relevant skillset and recognition by clients. Work-Life Integration We challenge the notion of work-life balance, we embrace the notion of work-life integration instead. This philosophy looks into our lives as a single whole where we serve ourselves, our families and our clients in an integrated manner. We encourage 100% flexible working hours where you arrange your day. This means you are free when you have little work, but this also means extra effort if you are behind schedule. Working on a Western project also means nobody bothers you during the whole day but you may have to jump on a scrum call in the evening to talk to your team overseas. We appreciate time and we minimize time spent on Adastra meetings. We are also a remote-first company. While we have our collaboration offices and social events, we encourage people to work 100% remote from home whenever possible. This means saving time and money on commute, staying home with elderly and little ones, not missing the special moments in life. This also means you can work from any of our other offices in Europe, North America or Australia, or move to a place with lower cost of living without impacting your income. We trust you by default until you fail our trust. Global Diversity Adastra Thailand is an international organization. We hire globally and our biggest partners and clients are in Europe, North America and Australia. We work on teams with individuals from different culture, ethnicity, sexual preference, political views or religion. We have zero tolerance to anyone who doesn’t pay respect to others or is abusive in any way. We speak different languages to one another, but we speak English when we are together or with clients. Our company is a safe space where communication is encouraged but boundaries regarding sensitive topics are respected. We accept and converge together to serve our teams and clients and ultimately have good time at work. Lifelong Learning On annual average we invest 25% of our working hours to personal development and upskilling outside project work, regardless of seniority or role. We feature more than 400 courses on our Training Repo and we continue to actively purchase or tailor hands-on content. We certify people on our expense. We like to say we are technology agnostic; we learn the principles of data management and we apply it on different use cases and different technology stacks. We believe that the juniors today are the seniors tomorrow, we treat everyone with respect and mentor them into the roles they deserve. We encourage seniors to give back to the IT community through leadership and mentorship. On your last day with us we may give you an open dated job offer so that you feel welcome to return home as others did before you. More About Adastra: Visit Adastra (adastracorp.com) and/or contact us: at HRIN@adastragrp.com

General information Country India State Telangana City Hyderabad Job ID 44314 Department Development Description & Requirements Summary: As an AI/ML Developer, you’ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor’s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Key Responsibilities: Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements: Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding: Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

Location: Bangalore - Karnataka, India - EOIZ Industrial Area Worker Type Reference: Regular - Permanent Pay Rate Type: Salary Career Level: T3(A) Job ID: R-46582-2025 Description & Requirements Introduction: A Career at HARMAN Automotive We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career. Engineer audio systems and integrated technology platforms that augment the driving experience Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence Advance in-vehicle infotainment, safety, efficiency, and enjoyment About the Role We're seeking a skilled Machine Learning Engineer with 3 to 6 years of experience to join our team, focusing on AIOps and GenAI projects. You'll play a pivotal role in developing cutting-edge solutions that leverage machine learning to enhance automation and intelligence across our systems. What You Will Do 1. Machine Learning Model Development: Design, develop, and implement machine learning models and algorithms for AIOps initiatives. 2. Collaboration: Collaborate with cross-functional teams to gather requirements and understand business objectives. 3. Research and Experimentation: Research and experiment with new ML techniques, frameworks, and tools to improve system efficiency and performance. 4. GenAI Project Contribution: Contribute to the user by developing algorithms and frameworks that enable generalized AI capabilities within our products. 5. ML Pipeline Architecture: Architect scalable and reliable ML pipelines that handle large volumes of data, ensuring robustness and accuracy. What You Need to Be Successful 1. Technical Skills: Proven experience in developing and deploying machine learning models in a production environment. Strong proficiency in programming languages such as Python, and familiarity with libraries like TensorFlow, PyTorch, or scikit-learn. Solid understanding of statistical analysis, data structures, and algorithms. 2. Cloud and Automation Experience: Experience with cloud platforms (e.g., AWS, Azure, GCP) and serverless technologies (e.g., Lambda, Azure functions, cloud functions). Knowledge of automation tools and techniques, and experience integrating ML models into automated workflows. 3. Problem-Solving and Communication Skills: Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. Strong communication skills to effectively convey technical concepts and solutions to stakeholders. Bonus Points if You Have 1. Certification in Machine Learning and AI: Certification in machine learning and AI can be an added advantage. 2. Experience with Large-Scale ML Deployments: Experience with large-scale ML deployments and managing complex data pipelines. 3. Familiarity with DevOps Practices: Familiarity with DevOps practices and tools, such as CI/CD pipelines and version control systems. What Makes You Eligible 1. Relevant Experience: 3 to 6 years of experience in developing and deploying machine learning models in a production environment. 2. Technical Expertise: Strong technical skills in machine learning, programming languages, and cloud platforms. 3. Problem-Solving Abilities: Ability to analyze complex problems and develop effective solutions. 4. Collaboration and Communication Skills: Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively. What We Offer Competitive salary and benefits package Opportunities for professional growth and development Collaborative and dynamic work environment Access to cutting-edge technologies and tools Recognition and rewards for outstanding performance through BeBrilliant Chance to work with a renowned German OEM You are expected to work all 5 days in a week in office You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location Chennai, Tamil Nadu, India Job ID R-231156 Date posted 09/07/2025 Job Title: Associate Director - Operations Data Management Career level: E Introduction to role: Are you ready to make a significant impact in the world of data management? As the Associate Director of Operations Data Management, you'll lead a dynamic team of data professionals dedicated to ensuring the accuracy and reliability of master data across our manufacturing and supply chain operations. This role is crucial for supporting the business in planning, procuring, and producing materials efficiently while adhering to regulatory requirements and company standards. Are you prepared to drive innovation and excellence in data processes? Accountabilities: Master Data Management: Drive the creation and maintenance of master data in the company's ERP systems, including Material Masters, Bills of Materials, and Recipes. Ensure data management processes align with global standards and ensure SAP business processes support operational needs. Work with peer Data Management team leads to find opportunities for standardisation & efficiencies within the data management processes (SOPs, Work instructions, task aids). Proactively seek and implement process improvements using data analysis, market research, and cross-functional collaboration. Champion & drive use of automation to deliver data maintenance activities. Leadership, Line Management & Team Development: Lead, mentor, and develop a team of data professionals, fostering a collaborative and high-performance culture. Provide performance management, coaching, and support to team members, ensuring they have the necessary skills and flexibility. Foster a culture of problem solving & continuous improvement initiatives, driving innovation in data processes and enhancing overall data accuracy and usability. Compliance and Quality Assurance: Ensure all activities align with relevant regulations, cGMP, quality standards, and the company’s Code of Conduct. Manage data quality standards, drive team to perform corrective actions, and ensure site compliance to global data standards. Understand root cause behind defects and carry out necessary enhancements to return to standard & avoid repeat defects. Project and Change Management: Lead or participate in local and global projects, representing the data management and process improvement perspectives. Manage the continuous improvement program impacting data management and support budget processes and departmental metrics. Communication and Collaboration: Build and maintain strong relationships with internal stakeholders and external partners to optimize process performance and competitiveness. Represent the organization in global forums and lead governance meetings related to data management. Prepare and oversee reports, analytics, and dashboards that support business decision-making in relation to Data Management activities. Essential Skills/Experience: Bachelor's Degree in Supply Chain, Business Administration, or related discipline. 5-10 years of professional experience in supply chain management, materials management, or a related field. Strong communication, engagement, and relationship-building skills. Proven experience in managing, developing, and delivering system-oriented business processes. Proven experience leading and developing a team. Proven track record of team and/or project leadership and driving cross-functional collaboration. Demonstrated ability to manage delivery through others. Understanding of automation technologies, including robotic process automation (RPA), natural language processing (NLP), and machine learning algorithms and potential application in data maintenance. Desirable Skills/Experience: Advanced degree or APICS certification. Experience in a Lean manufacturing environment. Knowledge of SAP ERP systems and project management experience. Experience with AI/ML frameworks like TensorFlow, Chatbot, ChatGPT, or similar, with a track record of applying these technologies to solve complex business challenges. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. AstraZeneca offers an environment where innovation thrives amidst constant new products and launches. Our commitment to life-changing medicines drives us forward as we continuously seek new ways to deliver them to patients. With a focus on sustainable lifecycle management, we encourage active participation in shaping our future. Here, you'll find a diverse team connected globally, interpreting science with business needs to apply manufacturing excellence. If you're driven by challenge and eager to make a big impact, AstraZeneca is where you can thrive. Ready to take on this exciting challenge? Apply now to join our team! Date Posted 10-Jul-2025 Closing Date 23-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.