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AI & ML Intern About SproutsAI SproutsAI is a fast-growing startup specializing in artificial intelligence and machine learning technologies to create cutting-edge solutions that help businesses automate and optimize their processes. We aim to bring innovative AI solutions to a wide range of industries, offering scalable and efficient products. At SproutsAI, we foster a culture of learning, collaboration, and innovation, making it an ideal place for aspiring technologists to grow and make an impact. Role Overview As an AI & ML Intern at SproutsAI, you will gain hands-on experience in developing machine learning models, optimizing algorithms, and working with real-world data. You will collaborate with experienced data scientists and engineers to contribute to AI-driven solutions and research projects. This internship provides a unique opportunity to enhance your skills in artificial intelligence and work on impactful projects. Responsibilities Develop and fine-tune ML models using LLMs and SLMS. Work on data preprocessing, feature engineering, and model evaluation. Research and implement new AI, ML techniques. Collaborate with teams to deploy models into production. Requirements Pursuing, completed degree in CS, Data Science, AI, or related field. Strong ML, deep learning, and Python skills. Experience with GenAI, LLMs, SLMs, RAG, Multi-agent systems. Familiarity with NLP, Computer Vision, or Time-Series Analysis is a plus. What You Will Gain Hands-on experience in developing Multi-agentic products for real-world applications. Exposure to advanced AI technologies and frameworks. Mentorship from experienced AI engineers and data scientists. Opportunity to contribute to innovative AI-driven products. A collaborative and dynamic learning environment. If you are passionate about artificial intelligence and eager to work on cutting-edge AI projects, we encourage you to apply!

Salary: As per experience. Experience: 3-5 years on Machine Learning or AI engineering. Job Summary: We are seeking a passionate and skilled AI/ML Engineer to join our team to design, develop, and deploy machine learning models and intelligent systems. You will work closely with software developers, and product managers to integrate AI solutions into real-world applications. Key Responsibilities: · Design, develop, and train machine learning models (e.g. clustering, NLP). · Basic understanding of AI Algorithm and underling models(RAG/CAG). · Build scalable pipelines for data ingestion, preprocessing, and model deployment. · Implement and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or Hugging Face. · Collaborate with cross-functional teams to define business problems and develop AI-driven solutions. · Monitor model performance and ensure continuous learning and improvement. · Deploy ML models using Docker, CI/CD, cloud services like AWS/Azure/GCP · Stay updated with the latest AI research and apply best practices to business use cases. Requirements: · Bachelor's or Master’s degree in Computer Science or related field. · Strong knowledge of Python and ML libraries (pandas, NumPy, etc.). · Experience with NLP, Computer Vision, or Recommendation Systems is a plus. · Familiarity with model evaluation metrics and handling bias/fairness in ML models. · Good understanding of REST APIs and cloud-based AI solutions. · Experience with Generative AI (e.g., OpenAI, LangChain, LLM fine-tuning). · Experience on any, Azure SQL, Databricks and Snowflake. Preferred Skills: · Experience with vector databases, semantic search and Agentic frame work. · Experience using platforms like Azure AI, AWS SageMaker, or Google Vertex AI.

This role is for one of the Weekday's clients Salary range: Rs 2500000 - Rs 3500000 (ie INR 25-35 LPA) Min Experience: 4 years Location: Bengaluru JobType: full-time We are looking for a highly skilled and motivated Machine Learning Engineer with 4-6 years of experience to join our growing team. As a core member of our AI/ML division, you will be responsible for designing, developing, deploying, and maintaining machine learning solutions that power real-world products and systems. You'll collaborate with data scientists, software engineers, and product teams to bring cutting-edge ML models from research into production. The ideal candidate will have a strong foundation in machine learning algorithms, statistical modeling, and data preprocessing, along with proven experience deploying models at scale. This role offers the opportunity to work on a variety of projects involving predictive modeling, recommendation systems, NLP, computer vision, and more. Requirements Key Responsibilities: Design and develop robust, scalable, and efficient machine learning models for various business applications. Collaborate with data scientists and analysts to understand project objectives and translate them into ML solutions. Perform data cleaning, feature engineering, and exploratory data analysis on large, structured and unstructured datasets. Evaluate, fine-tune, and optimize model performance using techniques such as cross-validation, hyperparameter tuning, and ensembling. Deploy models into production using tools and frameworks such as Docker, MLflow, Airflow, or Kubernetes. Continuously monitor model performance and retrain/update models as required to maintain accuracy and relevance. Conduct code reviews, maintain proper documentation, and contribute to best practices in ML development and deployment. Work with stakeholders to identify opportunities for leveraging ML to drive business decisions. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. 4-6 years of hands-on experience in designing and implementing machine learning models in real-world applications. Strong understanding of classical ML algorithms (e.g., regression, classification, clustering, ensemble methods) and experience with deep learning techniques (CNNs, RNNs, transformers) is a plus. Proficient in programming languages such as Python (preferred) and experience with ML libraries/frameworks like scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM. Experience in data preprocessing, feature selection, and pipeline automation. Familiarity with version control systems (e.g., Git) and collaborative development environments. Ability to interpret model results and communicate findings to technical and non-technical stakeholders. Strong problem-solving skills and a passion for innovation and continuous learning. Preferred Qualifications: Experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or Google Cloud AI Platform). Exposure to big data technologies (e.g., Spark, Hadoop) and data pipeline tools (e.g., Airflow). Prior experience in model deployment and ML Ops practices

This role is for one of the Weekday's clients Salary range: Rs 700000 - Rs 1200000 (ie INR 7-12 LPA) Min Experience: 1 years Location: Bengaluru JobType: full-time We are seeking a detail-oriented and analytical Data Analyst with 1-3 years of hands-on experience in data analytics, database management, and reporting. In this role, you will be responsible for collecting, analyzing, and interpreting large datasets to help drive data-informed decisions across the business. Your expertise in SQL and Python will be key to building scalable data pipelines, running ad-hoc queries, generating actionable insights, and automating reporting processes. This is an exciting opportunity to work closely with cross-functional teams such as Product, Engineering, Marketing, and Operations to solve real business problems using data. The ideal candidate is passionate about data, enjoys working with numbers, and is excited to contribute to data-driven strategy and operational excellence. Requirements Key Responsibilities: Extract, clean, and analyze structured and unstructured data from various sources using SQL and Python. Develop and maintain dashboards, reports, and visualizations to communicate key business metrics. Work with stakeholders to define KPIs and create automated data pipelines to track performance over time. Translate business requirements into technical specifications and analytical queries. Perform exploratory data analysis (EDA) to identify trends, correlations, and outliers. Support A/B testing and experimental design by analyzing results and generating insights. Collaborate with engineering teams to ensure data integrity, quality, and accessibility. Document data definitions, processes, and analysis workflows for transparency and reproducibility. Required Skills & Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field. 1-3 years of professional experience in a data analyst or similar role. Strong proficiency in writing efficient and optimized SQL queries for data extraction and manipulation. Solid experience with Python for data analysis (Pandas, NumPy, Matplotlib/Seaborn, etc.). Experience working with relational databases (e.g., MySQL, PostgreSQL, SQL Server). Understanding of data wrangling, cleaning, and preprocessing techniques. Familiarity with data visualization tools such as Power BI, Tableau, or similar platforms. Strong analytical mindset with the ability to translate data into business insights. Excellent communication skills with the ability to present findings clearly to technical and non-technical stakeholders. Good to Have (Not Mandatory): Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift). Exposure to version control systems like Git. Understanding of basic statistics and hypothesis testing. Knowledge of APIs and data integration techniques

About You You're a highly motivated, hands-on engineer with a deep conviction in AI's potential to transform industries. Your enthusiasm for technology is matched by your energy and curiosity. Thriving in unstructured startup environments, you possess a strong work ethic and a high degree of autonomy. Your approach is both creative and strategic, eagerly tackling challenges and leveraging AI to drive industry advancements. About the Role We seek an exceptional AI engineer with a robust background in emerging technologies, specifically large language models (LLMs) like GPT, LLAMA, BERT, and transformer-based architectures. Your role will involve fine-tuning and optimizing these models for our AI wealth technology platform, ensuring they seamlessly integrate with our systems to enhance the user experience. This position demands a blend of technical prowess, innovative thinking, and leadership, ideal for someone passionate about applying AI within consumer fintech. Responsibilities Develop and execute a comprehensive AI roadmap that aligns with our strategic business goals. Lead the technical design, development, testing, deployment, documentation, and maintenance of end-to-end AI features. Innovate in data management, strategically using embeddings to improve the relevancy of vector search. Collaborate with marketing, product, and business teams to integrate AI technologies across applications. Stay abreast of the latest AI trends, including advanced prompting techniques, AI agent construction, and in-context learning workflows. Contribute groundbreaking ideas for future AI initiatives and technology integration. Foster a culture of technical excellence, agility, and innovation within the team, contributing to strategic planning and the overall technological direction of the company. Qualifications Bachelor's or Master's degree in Computer Science, AI/ML, or related fields, with a focus on deep learning, neural networks, and generative AI. At least 2-7 years of experience in AI/ML, with expertise in developing, fine-tuning, and optimizing large language models and transformer-based architectures. Profound knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) and in-context learning workflows, including data preprocessing, embedding, prompt construction, and execution. demonstrated experience with API integration and the development of AI agents, showcasing the ability to test and design AI performance and reliability measures. Strong programming skills in Python, JavaScript, or similar languages, with a thorough understanding of software engineering best practices. Exceptional communication skills, capable of conveying complex AI concepts to both technical and non-technical stakeholders. Job Type: Full-time Job Type: Full-time Pay: ₹500,000.00 - ₹1,500,000.00 per year Application Question(s): What is your expected CTC? Are you available immediately? Experience: total: 2 years (Required) AI: 2 years (Required) LLM: 2 years (Required) Location: Bengaluru, Karnataka (Preferred) Work Location: In person

Job Title: AI/ML Intern Company: NovaNectar Services Pvt. Ltd. – IT Smart Solutions Location: GMS Road Near By Kamla Palace Chowk Dehradun Duration: 3–6 Months Internship Type: Full-time / Part-time Stipend: 2k to 4k About the Company NovaNectar Services Pvt. Ltd. is a growing Smart IT solutions provider specializing in App Development, website development,digital marketing, AI-powered systems , smart automation , and enterprise digital transformation . Under our brand IT Smart Solutions , we develop intelligent tools and platforms that empower businesses with the future of technology – Artificial Intelligence, Machine Learning, and Data Science. Internship Overview We are seeking enthusiastic, innovative, and self-motivated individuals who are passionate about Artificial Intelligence and Machine Learning . As an AI/ML Intern, you will gain hands-on experience with real-world data, build machine learning models, and contribute to intelligent software solutions. ✅ Key Responsibilities Work on end-to-end ML model development (data preprocessing, training, evaluation, and deployment). Assist in building models for NLP, computer vision, or recommendation systems. Conduct literature research on recent AI/ML techniques. Optimize algorithms for better performance and scalability. Collaborate with developers, data engineers, and product managers. Skills Required Solid understanding of machine learning concepts and algorithms. Proficiency in Python and libraries such as NumPy , pandas , scikit-learn , TensorFlow or PyTorch . Familiarity with data analysis and visualization (e.g., Matplotlib , Seaborn ). Knowledge of tools like Jupyter Notebook, Git, and basic ML pipelines. Good problem-solving and critical thinking skills. Preferred (Not Mandatory) Experience with Deep Learning , Computer Vision , or Natural Language Processing . Exposure to cloud platforms (AWS, GCP, Azure). Prior participation in ML hackathons, Kaggle, or GitHub contributions. What You’ll Gain Practical experience in designing and implementing AI models. Mentorship from experienced AI professionals. Opportunity to work on impactful, client-facing projects. Certificate of completion and Letter of Recommendation (based on performance). How to Apply Send your resume , 8445250952 Job Types: Permanent, Fresher, Internship Contract length: 3-6 months Pay: ₹2,000.00 - ₹4,000.00 per month Schedule: Day shift Morning shift Rotational shift Supplemental Pay: Performance bonus Work Location: In person

Country/Region: IN Requisition ID: 27332 Work Model: Position Type: Salary Range: Location: INDIA - HYDERABAD - BIRLASOFT OFFICE Title: Sr Technical Lead-App Development Description: Long Description Required Skills : 1 Python Programming: Deep expertise in Python for building GenAI applications and automation tools. 2 Productionization of GenAI application beyond PoCs – Using scale frameworks and tools such as Pylint,Pyrit etc. 3 LLM and Agentic Frameworks: Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. 4 Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. 5 Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. 6 Fine-tune SLM(Small Language Model) for domain specific data and use cases. 7 Prompt injection fallback and RCE tools such as Pyrit and HAX toolkit etc. 8 Anti-hallucination and anti-gibberish tools such as Bleu etc. 9 Front-End Technologies: Strong knowledge of React, Streamlit, AG Grid, and JavaScript for front-end development. 10 Cloud Platforms: Extensive experience with Azure, GCP, and AWS for deploying and managing GenAI and Agentic AI applications. 11 Fine-Tuning Techniques: Mastery of PEFT, QLoRA, LoRA, and other fine-tuning methods. 12 LLMOps: Strong knowledge of LLMOps practices for model deployment, monitoring, and management. 13 Responsible AI: Expertise in implementing ethical AI practices and ensuring compliance with regulations. 14 RAG and Modular RAG: Advanced skills in Retrieval-Augmented Generation and Modular RAG architectures. 15 Data Modernization: Expertise in modernizing and transforming data for GenAI applications. 16 OCR and Document Intelligence: Proficiency in OCR and document intelligence using cloud-based tools. 17 API Integration: Experience with REST, SOAP, and other protocols for API integration. 18 Data Curation: Expertise in building automated data curation and preprocessing pipelines. 19 Technical Documentation: Ability to create clear and comprehensive technical documentation. 20 Collaboration and Communication: Strong collaboration and communication skills to work effectively with cross-functional teams. 21 Mentorship: Proven ability to mentor junior developers and foster a culture of technical excellence. Area(s) of responsibility About Birlasoft: Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. About the Job - The Technical Lead will focus on the development, implementation, and engineering of GenAI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Technical Lead will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions Job Title - GenAI Technical Lead Location: Pune/Hyderabad Educational Background: Bachelor’s degree in computer science, Information Technology, or related field. Mode of Work- Hybrid Experience Required - 6+ years relevant Job Description : Key Responsibilities: 1 Application Development: Build GenAI applications from scratch using frameworks like Langchain, LangGraph and LlamaIndex. 2 Agentic AI framework: Practical knowledge of Multi agentic AI frameworks like Langgraph, Autogen and Crew AI 3 Python Programming: Develop high-quality, efficient, and maintainable Python code for GenAI solutions. 4 Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. 5 Front-End Integration: Implement user interfaces using front-end technologies like React, Streamlit, and AG Grid, ensuring seamless integration with GenAI backends. 6 Data Modernization and Transformation: Design and implement data modernization and transformation pipelines to support GenAI applications. 7 OCR and Document Intelligence: Develop solutions for Optical Character Recognition (OCR) and document intelligence using cloud-based tools. 8 API Integration: Use REST, SOAP, and other protocols to integrate APIs for data ingestion, processing, and output delivery. 9 Cloud Platform Expertise: Design and deploy scalable AI solutions leveraging a comprehensive suite of Azure AI services. Knowledge of AWS for deploying and managing GenAI applications is an added advantage. 10 Fine-Tuning LLMs: Apply fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLMs for specific use cases. 11 LLMOps Implementation: Set up and manage LLMOps pipelines for continuous integration, deployment, and monitoring. 12 Responsible AI Practices: Ensure ethical AI practices are embedded in the development process. 13 RAG and Modular RAG: Implement Retrieval-Augmented Generation (RAG) and Modular RAG architectures for enhanced model performance. 14 Data Curation Automation: Build tools and pipelines for automated data curation and preprocessing. 15 Technical Documentation: Create detailed technical documentation for developed applications and processes. 16 Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to deliver high-impact solutions. 17 Mentorship: Guide and mentor junior developers, fostering a culture of technical excellence and innovation.

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate , serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. Your Team's Impact Join our dynamic Machine Learning and AI team, where we build innovative models and solutions that drive business transformation and unlock new opportunities. You’ll be at the forefront of AI-powered initiatives, collaborating closely with product teams to shape the future of data-driven insights. This position offers high visibility and the chance to directly influence key decisions across the organization. You will report to the Manager of AI. Working Mode: Hybrid (3 days mandatory Office) What You'll Do Technical Leadership & Strategy Lead the design, development, and deployment of machine learning models and systems at scale. Define and drive the technical roadmap for ML initiatives in alignment with business goals. Evaluate and select appropriate ML techniques, architectures, and tools for various problems (e.g., NLP, CV, tabular data). Ensure robust experimentation, validation, and performance benchmarking practices. Team Guidance & Mentorship Mentor and support junior and mid-level ML engineers, guiding them on model development, research approaches, and code quality. Conduct technical reviews of models, pipelines, and code to ensure high standards. Promote a culture of continuous learning, innovation, and scientific rigor within the team. System & Pipeline Development Architect and implement scalable ML pipelines for training, validation, inference, and monitoring. Collaborate with data engineers to ensure high-quality data ingestion, feature engineering, and labeling workflows. Contribute to MLOps practices by building reproducible, testable, and maintainable model delivery frameworks. Assist in designing, developing, and implementing machine learning models for real-world applications. Work on data collection, preprocessing, feature engineering, and model evaluation tasks. Collaborate with cross-functional teams including Data Science, Software Engineering, and Product. Perform exploratory data analysis (EDA) and prepare datasets for training/testing. Contribute to the deployment and monitoring of models in production environments. Write clean, efficient, and well-documented code in Python or similar languages. Stay updated with the latest developments in AI/ML research and tools. Assist in model optimization, hyperparameter tuning, and performance scaling. Stay current with the latest industry trends and technologies, contributing innovative ideas to ongoing projects. Test and validate models to ensure their reliability and effectiveness in production environments. Work with large datasets to extract meaningful insights using various statistical and ML techniques. What We're Looking For Required Skills Bachelor’s or master’s degree in computer science, Engineering, or a related field is required. 5+ years of experience in software development, with a focus on systems handling large-scale data operations. Strong foundation in Machine Learning concepts (supervised/unsupervised learning, regression, classification, clustering, etc.). Good programming skills in Python (or similar languages like R, Java, C++). Hands-on experience with ML libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Understanding of data structures, algorithms, and basic mathematics/statistics and database management systems. Excellent verbal and written communication skills, capable of articulating complex concepts to technical and non-technical audiences. Familiarity with data handling tools (e.g., Pandas, NumPy, SQL). Good analytical, problem-solving, and communication skills. Ability to learn new technologies quickly and work independently or as part of a team. Ability to work collaboratively in a team environment, contributing to group success while expanding personal skills. Desired Skills Exposure to deep learning, NLP, computer vision, or reinforcement learning projects (academic or internships). Knowledge of cloud platforms like AWS, Azure, or GCP. Familiarity with version control systems (e.g., Git). Understanding of MLOps concepts and pipelines (bonus) What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up. Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. Career progression planning with dedicated time each month for learning and development. Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging. Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. Company Overview: FactSet ( NYSE:FDS | NASDAQ:FDS ) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn . At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.

Country/Region: IN Requisition ID: 27338 Work Model: Position Type: Salary Range: Location: INDIA - HYDERABAD - BIRLASOFT OFFICE Title: Technical Lead-App Development Description: Area(s) of responsibility About Birlasoft: Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. About the Job - The Technical Lead will focus on the development, implementation, and engineering of GenAI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Technical Lead will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions Job Title - Developer- Gen AI Application Development Location: Pune/Hyderabad Educational Background: Bachelor’s degree in computer science, Information Technology, or related field. Mode of Work- Hybrid Experience Required - 6+ years relevant Job Description : Key Responsibilities: Coding and Development: Write clean, using Lang chain/Lang graph and Auto Gen frameworks efficiently, and maintainable code for GenAI applications using Python and open-source frameworks. Fine-Tuning Models: Fine-tune LLMs and SLMs using techniques like PEFT, LoRA, and QLoRA for specific use cases. Open-Source Frameworks: Work with frameworks like Hugging Face, LangChain, and others to build GenAI solutions. Azure AI Expertise: Design and deploy scalable AI solutions leveraging a comprehensive suite of Azure AI services. Integration and Deployment: Integrate generative AI models into existing enterprise systems and applications. Implement robust MLOps practices, CI/CD pipelines (e.g., Azure DevOps, GitHub, Jenkins), and containerization (Docker, Kubernetes) for seamless deployment. Knowledge of AWS would be an added advantage. Data Preprocessing: Build and maintain data preprocessing pipelines for training and fine-tuning models. API Integration: Integrate REST, SOAP, and other APIs for data ingestion, processing, and output delivery. Model Evaluation: Evaluate model performance using metrics and benchmarks and iterate to improve results. Prototyping: Quickly prototype and demonstrate GenAI applications to showcase capabilities and gather feedback. Front-End Development: Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces using tools like Streamlit or React. Version Control: Use Git and other version control systems to manage code and collaborate with team members. Technical Documentation: Create clear and concise documentation for code, models, and processes. Collaboration: Work closely with data scientists, engineers, and product managers to deliver high-impact solutions. Learning and Growth: Continuously learn and stay updated with the latest advancements in GenAI, open-source tools, and cloud technologies. Debugging and Optimization: Identify and fix bugs, optimize code, and improve application performance. Long Description Required Skills: Python Programming: Strong proficiency in CORE Python OOP for developing GenAI applications. Fine-Tuning Techniques: Hands-on experience with fine-tuning methods like PEFT, LoRA, and QLoRA. Open-Source Frameworks: Expertise in Hugging Face, LangChain, LlamaIndex, and other open-source libraries. Cloud Platforms: Familiarity with Azure, GCP, and AWS for deploying and managing GenAI models. Data Preprocessing: Skills in building and maintaining data preprocessing pipelines. API Integration: Experience with REST, SOAP, and other protocols for API integration. Model Evaluation: Knowledge of metrics and benchmarks for evaluating model performance. Front-End Tools: Basic knowledge of front-end tools like Streamlit, React, or JavaScript for UI integration. Version Control: Proficiency in Git and Version Control best practices. Technical Documentation: Ability to create clear and concise technical documentation. Problem-Solving: Strong analytical and problem-solving skills to debug and optimize code. Collaboration: Excellent teamwork and communication skills to work effectively in cross-functional teams. Rapid Prototyping: Ability to quickly prototype and demonstrate GenAI applications. Continuous Learning: A growth mindset with a passion for learning and staying updated with the latest GenAI trends and technologies. Good to have: Document Intelligence: Proficiency in OCR and document intelligence using open-source and cloud tools.

Country/Region: IN Requisition ID: 27335 Work Model: Position Type: Salary Range: Location: INDIA - HYDERABAD - BIRLASOFT OFFICE Title: Technical Specialist-App Development Description: Area(s) of responsibility About Birlasoft: Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. About the Job - The Technical Lead will focus on the development, implementation, and engineering of GenAI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Technical Lead will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions Job Title - Developer- Gen AI Application Development Location: Pune/Hyderabad Educational Background: Bachelor’s degree in computer science, Information Technology, or related field. Mode of Work- Hybrid Experience Required - 6+ years relevant Job Description : Key Responsibilities: Coding and Development: Write clean, using Lang chain/Lang graph and Auto Gen frameworks efficiently, and maintainable code for GenAI applications using Python and open-source frameworks. Fine-Tuning Models: Fine-tune LLMs and SLMs using techniques like PEFT, LoRA, and QLoRA for specific use cases. Open-Source Frameworks: Work with frameworks like Hugging Face, LangChain, and others to build GenAI solutions. Azure AI Expertise: Design and deploy scalable AI solutions leveraging a comprehensive suite of Azure AI services. Integration and Deployment: Integrate generative AI models into existing enterprise systems and applications. Implement robust MLOps practices, CI/CD pipelines (e.g., Azure DevOps, GitHub, Jenkins), and containerization (Docker, Kubernetes) for seamless deployment. Knowledge of AWS would be an added advantage. Data Preprocessing: Build and maintain data preprocessing pipelines for training and fine-tuning models. API Integration: Integrate REST, SOAP, and other APIs for data ingestion, processing, and output delivery. Model Evaluation: Evaluate model performance using metrics and benchmarks and iterate to improve results. Prototyping: Quickly prototype and demonstrate GenAI applications to showcase capabilities and gather feedback. Front-End Development: Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces using tools like Streamlit or React. Version Control: Use Git and other version control systems to manage code and collaborate with team members. Technical Documentation: Create clear and concise documentation for code, models, and processes. Collaboration: Work closely with data scientists, engineers, and product managers to deliver high-impact solutions. Learning and Growth: Continuously learn and stay updated with the latest advancements in GenAI, open-source tools, and cloud technologies. Debugging and Optimization: Identify and fix bugs, optimize code, and improve application performance. Long Description Required Skills: Python Programming: Strong proficiency in CORE Python OOP for developing GenAI applications. Fine-Tuning Techniques: Hands-on experience with fine-tuning methods like PEFT, LoRA, and QLoRA. Open-Source Frameworks: Expertise in Hugging Face, LangChain, LlamaIndex, and other open-source libraries. Cloud Platforms: Familiarity with Azure, GCP, and AWS for deploying and managing GenAI models. Data Preprocessing: Skills in building and maintaining data preprocessing pipelines. API Integration: Experience with REST, SOAP, and other protocols for API integration. Model Evaluation: Knowledge of metrics and benchmarks for evaluating model performance. Front-End Tools: Basic knowledge of front-end tools like Streamlit, React, or JavaScript for UI integration. Version Control: Proficiency in Git and Version Control best practices. Technical Documentation: Ability to create clear and concise technical documentation. Problem-Solving: Strong analytical and problem-solving skills to debug and optimize code. Collaboration: Excellent teamwork and communication skills to work effectively in cross-functional teams. Rapid Prototyping: Ability to quickly prototype and demonstrate GenAI applications. Continuous Learning: A growth mindset with a passion for learning and staying updated with the latest GenAI trends and technologies. Good to have: Document Intelligence: Proficiency in OCR and document intelligence using open-source and cloud tools.

Hyderabad, Telangana Job ID 30185920 Job Category Finance Role: Data Domain Expert - Commercial Location: Hyderabad, India Full/ Part-time: Full-time Build a career with confidence Carrier is a leading provider of heating, ventilating, air conditioning and refrigeration systems, building controls and automation, and fire and security systems leading to safer, smarter, sustainable, and high-performance buildings. Carrier is on a mission to make modern life possible by delivering groundbreaking systems and services that help homes, buildings and shipping become safer, smarter, and more sustainable. Our teams exceed the expectations of our customers by anticipating industry trends, working tirelessly to master and revolutionize them. About the role Carrier is looking for an experienced data management professional to join our team as Business Enterprise Data Domain Expert Level 3 - Senior Commercial. The Data Domain Expert Level 3 - Senior Commercial will be part of the Carrier Business Services (CBS) Global Master Data Management (MDM) team and will support the master data improvement strategy and roadmap for the Commercial function. The role will support the implementation of structural improvements, delivering the highest Master Data quality level aiming at running efficient end-to-end business processes and allowing for decision making based on trusted data. The role supports the Data Principal Commercial on the data aspect of the Commercial function in close collaboration with the people, process, and technology partners. He/She designs and implements standardized end to end processes and tools for the maintenance of Commercial Master Data, delivering improved service quality, optimized cost to serve, controls & compliance, as well as enhancing customer experience. It also supports some Commercial function projects from a data perspective. He/She operates in a highly complex systems landscape and within a matrix organization. System complexity includes at least 100+ ERP instances, several other enterprise-level systems, supported by multiple service providers. He/She manages stakeholders’ relationships with business process managers across the Commercial function to implement the strategy and roadmap for high quality Master Data. Key Responsibilities: Being part of an enthusiastic and dynamic team, your responsibilities include: Business Data Analysis Data Analysis and Interpretation: Analyse data using statistical methods and tools to discover trends, patterns, and insights that can inform business decisions. Reporting and Visualization: help businesses create reports and dashboards in Qualtrics using data visualization tools to present complex data in an understandable and visually appealing manner Developing and Implementing Data Models: Develop models to address business issues. This may include predictive models, segmentation strategies, or other statistical models. Collaborating with Stakeholders: Work closely with BU’s and stakeholders to understand their data requirements and deliver insights and insights training that meet their needs. Identifying Opportunities for Process Improvement: Use data to identify inefficiencies or areas for improvement in business processes and recommend solutions. Supporting Data-Driven Decision-Making: Provide the data and analysis needed to support decision-making across the company, including local continuous improvement Staying Up-to-Date with Industry Trends and Tools: Keep abreast of the latest trends in data analytics, tools, and technologies to continuously improve data analysis capabilities. Work closely with Carrier Commercial MDM team on the following Data Quality improvements Data Enrichment: Gather additional customer-related data attributes from well-defined sources (mainly Salesforce CRM), ensuring it is accurate, in time, and compliant with the architecture in place. Ensure compliance with data governance and regulatory requirements. Data Cleaning and Preprocessing: with support of MDM team, clean data to remove inaccuracies, inconsistencies, and duplicates. Prepare data for analysis by performing normalization, transformation, and encoding. Monitoring and Maintaining Data Quality: Regularly monitor data quality and accuracy, implementing measures to maintain high data standards. Support the CBS MDM team in the implementation of the company-wide Data Policies and Governance Framework Deliver the Master Data Management strategy and roadmap within the Commercial function Support the delivery of master data projects, ensuring timely completion within budget and value realization Together with Data Principals and Data Owner, define data standards, cleansing (Get Clean) and monitoring (Dashboard/KPIs) of the Commercial master data Supporting the delivery of controlled, governed, and harmonized data maintenance processes for the Commercial data domain, including their introduction into the CBS operating model, ensuring effective and efficient master data maintenance services Implementing the required KPIs in the Global MDM Dashboard to monitor data standards compliance The above includes supporting technology implementation and required change management activities Supporting the implementation of the Data Collection, Storage and Modelling strategy for the Commercial function Developing documentation and education materials to support business stakeholders and imbed Master Data Management best practices within the Commercial function Fostering a continuous improvement and agile mentality in the delivery of the Master Data Management Commercial roadmap Foster communication and teamwork within and across organizational boundaries Build working relationships and foster communication with internal customers within and across organizational and geographic boundaries Requirements Post-Graduation in Business Administration, Accounting, Finance, ISC, Economics, IT or equivalent work experience Minimum 9 to 12+ years’ overall experience with 6 to 7 years’ experience in process related function and with the Data supporting these processes Systems/IT knowledge required (e.g. MS Excel advanced, Salesforce experience) Experience in implementation of standardized E2E business processes, in MDM processes a plus Experience in interfacing with business stakeholders Experience in process and Data improvement, ing root cause analysis Experience in defining requirements for building data quality reports/dashboards Experience within a corporate business environment Keeps deadlines and produces high quality output Fosters a constructive dialogue within process owners, BU/Functions and other key stakeholders Strong communicator Good level of presentation skills Benefits We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary. Make yourself a priority with flexible schedules, parental leave and our holiday purchase scheme Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Programme Our commitment to you Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way . Join us and make a difference. Now! Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

About the Role: We are seeking a motivated and highly skilled Data Scientist to join our Flight Safety team. This role is critical in leveraging advanced analytics and machine learning to drive safety-related decisions and improve operational processes. The successful candidate will work extensively with time-series and multivariate data to detect anomalies, uncover patterns, and develop predictive models that enhance flight safety and risk mitigation. You will play a strategic role in applying AI/ML techniques, building custom algorithms, and conducting exploratory data analysis, with a strong focus on aviation safety and operational excellence. Key Responsibilities: Perform exploratory data analysis (EDA) to uncover patterns, trends, and insights from complex datasets. Apply advanced anomaly detection techniques on time-series and multivariate data to identify irregularities and potential safety risks. Develop and implement machine learning and deep learning models (e.g., ANN, RNN, CNN) for predictive safety analytics. Utilize big data analytics tools and AI/ML frameworks to support data-driven decision-making in flight safety. Design and develop custom algorithms to meet domain-specific requirements with high accuracy and reliability. Write efficient, maintainable code using Python and MATLAB for data processing, modeling, and algorithm deployment. Collect, clean, and preprocess data from multiple sources to ensure high-quality inputs for model development. Collaborate with cross-functional teams to translate analytical findings into actionable safety initiatives. Required Qualifications & Experience: Educational Background: Bachelor’s degree in Engineering with a specialization in Data Science or a related field. Certification in Data Science (such as a completed Data Scientist course or equivalent). Professional Experience: Minimum 6 years of hands-on experience in data science, machine learning, or analytics roles. Proven experience in developing AI/ML models, particularly in anomaly detection and predictive analytics. Key Skills: Data Analysis & Exploratory Data Analysis (EDA) Anomaly Detection (Time-Series & Multivariate Data) Machine Learning & Deep Learning (ANN, RNN, CNN) Big Data Analytics & AI-driven Risk Forecasting Strong Programming Skills: Python and MATLAB Custom Algorithm Design & Development Data Collection, Preprocessing, and Integration Why Join Us? Contribute to cutting-edge data science initiatives in the aviation safety domain. Work in a collaborative and innovation-driven environment. Be part of a mission-critical team focused on predictive safety and operational excellence. Job Types: Full-time, Permanent Pay: Up to ₹4,000,000.00 per year Benefits: Cell phone reimbursement Food provided Health insurance Paid sick time Paid time off Provident Fund Work from home Schedule: Day shift Work Location: In person

**Position:** AI/ML Engineer **Experience:** 2+ Years **Location:** Mohali **Type:** Full-time **Job Overview:** We are looking for an experienced and innovative ** AI/ML Engineer ** with 2+ years of experience in data science, machine learning, and AI. As a lead, you will be responsible for driving data-driven decision-making across the organization and delivering advanced analytics and AI/ML models to solve complex business problems. The ideal candidate has a deep understanding of data science principles, experience leading data science teams, and the ability to communicate insights effectively to stakeholders. **Key Responsibilities:** - Lead and mentor a team of data scientists and machine learning engineers, ensuring high-quality delivery of AI/ML projects. - Design, develop, and deploy data science and machine learning models to address business challenges such as prediction, classification, recommendation, and optimization. - Oversee the end-to-end lifecycle of data science projects, from data collection and preprocessing to model development and production deployment. - Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to identify key opportunities for AI/ML applications. - Develop scalable data pipelines and workflows to support the training, evaluation, and deployment of AI/ML models. - Perform exploratory data analysis, feature engineering, and model selection to improve model performance. - Lead efforts to innovate and apply new AI/ML techniques, such as deep learning, reinforcement learning, NLP, and computer vision. - Monitor and improve deployed models to ensure accuracy, efficiency, and robustness. - Stay updated on the latest advancements in data science, AI, and machine learning technologies and apply best practices. - Communicate complex data science concepts and results to non-technical stakeholders effectively. Job Type: Full-time Pay: ₹25,154.00 - ₹40,999.72 per month Benefits: Health insurance Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

About Jivi Jivi is transforming primary healthcare with an AI-powered clinical agentic platform designed for 8 billion people. Our flagship product, a super health app, combines an AI doctor and longevity coach. It provides a full-stack solution covering sickness, prevention, and wellness. In just six months, 500,000 users from 170+ countries have already used Jivi. The company was founded by Ankur Jain (BharatPe, WalmartLabs, Stanford), GV Sanjay Reddy (Reddy Ventures, Aragen), and Andrew Ng 's AI Fund (Coursera, DeepLearning). Together, they bring deep expertise in AI, medicine, and scaling billion-dollar ventures. Jivi is powered by groundbreaking research in Large Language Models (LLMs). Our MedX model is ranked #1 globally, surpassing OpenAI and Google Gemini in diagnostic accuracy. Additionally, our AudioX model boasts the lowest word error rate for Indic languages. Jivi’s health knowledge base, one of the largest in the world, plays a key role in training these models. In the spirit of fostering innovation, we’ve open-sourced these models on Hugging Face for the AI community. Jivi has been recognized for its innovation with awards such as the NASSCOM’s Digital Adoption Pioneer Award and the IndiaAI Mission Award. We are proud to be a global leader in AI healthcare. Job Overview In this role, you will design and implement AI algorithms, develop machine learning models, and contribute to the core AI technology powering our healthcare solutions. You will be responsible for analyzing large datasets to extract meaningful insights, which will inform healthcare decisions and improve patient outcomes. As an AI Applied Researcher, you will play a pivotal role in advancing the impact of AI in healthcare. Key Responsibilities AI/ML Model Development: Design, develop, and deploy machine learning or large language (LLM) models Strong Analytical Skills: Apply your analytical expertise to extract actionable insights from complex datasets and leverage AI to address real-world problems. Data Analysis and Preprocessing: Handle data collection, cleaning, preprocessing, and exploratory data analysis to ensure data readiness and quality for modeling. Model Evaluation and Validation: Assess model performance using relevant metrics and validate outcomes through comprehensive testing. Collaboration: Work collaboratively with cross-functional teams, including data engineers, software developers, and domain experts, to understand requirements and deliver impactful solutions. Healthcare Domain Knowledge (Optional): While not mandatory, a background in healthcare, medical imaging, or related fields is a valuable asset. Technical Skills Programming Skills: Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Familiarity with TensorRT and NVIDIA Triton Server is a plus. Model Expertise: Deep experience with Convolutional Neural Networks (CNNs), diffusion models, transformers, as well as segmentation, object detection, and classification models, including CLIP or similar models. Multimodal Proficiency: Strong knowledge and experience with large language models (LLMs) and multimodal AI approaches. Algorithmic Understanding: Comprehensive understanding of a wide array of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning techniques. Experience & Qualifications Work Experience: At least 3+ years of proven experience as an AI researcher/engineer or in a data science role Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience). Why Work with Jivi? Make a Global Impact : Shape AI-driven healthcare solutions that transform billions of lives and revolutionize global wellness. Accelerate Your Career : Enjoy competitive salaries, growth opportunities, and the chance to take on leadership roles as Jivi scales. Lead in a High-Growth Environment : Own key initiatives, influence company strategy, and drive impactful health projects in a dynamic, fast-paced setting. Collaborate with the Best : Work alongside top professionals in AI and healthcare, learn from experts, and contribute to breakthrough innovations. Jivi’s Products: Jivi is available as a mobile app or as an AI assistant on WhatsApp. You can access Jivi: iOS app Android app WhatsApp Jivi in Media: Economic Times - https://tinyurl.com/m3kep5at Reuters - https://tinyurl.com/mpcs6dpx Inc42 - https://tinyurl.com/emsdas55 Many more - https://www.jivi.ai/news

Job Description: We are looking for a highly skilled AI/ML Engineer who can design, implement, and optimize machine learning solutions, including traditional models, deep learning architectures, and generative AI systems. The ideal candidate will have strong hands-on experience with MLOps, data pipelines, and LLM optimization. You will collaborate with data engineers and cross-functional teams to develop scalable, ethical, and high-performance AI/ML solutions that drive business impact. Requirements: Key Responsibilities: Develop, implement, and optimize AI/ML models using both traditional machine learning and deep learning techniques. Design and deploy generative AI models for innovative business applications. Collaborate with data engineers to build and maintain high-quality data pipelines and preprocessing workflows. Integrate responsible AI practices to ensure ethical, explainable, and unbiased model behavior. Develop and maintain MLOps workflows to streamline training, deployment, monitoring, and continuous integration of ML models. Optimize large language models (LLMs) for efficient inference, memory usage, and performance. Work closely with product managers, data scientists, and engineering teams to integrate AI/ML into core business processes. Conduct rigorous testing, validation, and benchmarking of models to ensure accuracy, reliability, and robustness. Stay abreast of the latest research and advancements in AI/ML, LLMs, MLOps, and generative models. Required Skills & Qualifications: Strong foundation in machine learning, deep learning, and statistical modeling techniques. Hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar ML frameworks. Proficient in Python and ML engineering tools such as MLflow, Kubeflow, or SageMaker. Experience deploying generative AI solutions, including text, image, or audio generation. Understanding of responsible AI concepts, including fairness, accountability, and transparency in model building. Solid experience with MLOps pipelines and continuous delivery of ML models. Proficiency in optimizing transformer models or LLMs for production workloads. Familiarity with cloud services (AWS, GCP, Azure) and containerized deployments (Docker, Kubernetes). Excellent problem-solving and communication skills. Ability to work collaboratively with cross-functional teams. Preferred Qualifications: Experience with data versioning tools like DVC or LakeFS. Exposure to vector databases and retrieval-augmented generation (RAG) pipelines. Knowledge of prompt engineering, fine-tuning, and quantization techniques for LLMs. Familiarity with Agile workflows and sprint-based delivery. Contributions to open-source AI/ML projects or published papers in conferences/journals. About Company / Benefits: Lucent Innovation is a company 8 years old, India's premier IT solutions provider company that offers web & web application development services to global clients. We are Shopify Expert and Shopify Plus Partner, have its office registered in India. Lucent Innovation has a highly skilled team of IT professionals. We ensure that our employees have a work-life balance. In order to achieve the same, We work 5 days working, no night shift and employees are encouraged to report to the office on time and leave on time. The company organizes several indoor/outdoor activities throughout the year. Besides these, the company organizes trips for employees. Celebrations are an integral part of our work culture. We celebrate all major festivals like Diwali, Holi, Lohri, Christmas day, Navratra (Dandia), Makar Sankranti etc. We also enjoy several other important occasions like New Year, Independence Day, Republic Day, Women's Day, Mother's day, etc. Perks: - 5days working Flexible working hours No hidden policy Friendly working Environment In-house training Quarterly and Yearly rewards & Appreciation

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. This role is based in Noida. But you’ll also get to visit other locations in India and globe, so you’ll need to go where this job takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! Key Responsibilities: In this role, you will: Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). Build intelligent systems that understand natural language queries and automate complex workflows. Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. Prototype and productize tools that leverage code understanding, profiling, and data analysis. Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. Work on prompt engineering, few-shot learning, and tool use orchestration What We’re Looking For: Must-Have: Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). Strong working knowledge of LangChain, RAG pipelines, and vector stores. Strong understanding and experience in application of Deep Learning models like ANNs and transformers. Experience in developing AI agents or copilots that interface with tools or external APIs. Proficiency in Python; familiarity with software design patterns and clean code. Practical experience in data preprocessing, feature engineering, and model evaluation. Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have: Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us? Work on cutting-edge AI R&D projects with real product impact! Be part of a startup-like team within a global tech company. Opportunity to lead innovation, publish internally, and drive industry-first solutions. Competitive compensation, flexibility, and a collaborative culture. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, variable pay, other benefits, pension, healthcare and actively support working from home. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Transform the everyday #DVT

About the Role: We are looking for a passionate and results-driven Data Scientist with 2–3 years of experience to join our data science team. This role involves building robust machine learning and deep learning models for high-impact financial use cases such as fraud detection, risk scoring, personalization, and automation. You should have strong Python programming skills, hands-on experience with end-to-end ML/DL model development, MLOps deployment, Experience building and exposing APIs for model interaction and integration with production systems is essential. Key Responsibilities: •Design, develop, and deploy ML/DL models for FinTech use cases (e.g., fraud detection, customer risk classification, churn prediction). •Handle and process large, highly imbalanced datasets using advanced resampling, cost-sensitive learning, or anomaly detection techniques. •Implement and automate MLOps pipelines for training, testing, monitoring, and deploying models to production (e.g., using MLflow or Kubeflow). •Build APIs and backend interfaces for seamless model consumption in production applications. •Collaborate closely with Data Engineers, Product Managers, and Frontend Developers to operationalize ML solutions. •Document model assumptions, performance metrics, and testing methodology for audit and compliance readiness. •Contribute to continuous model monitoring and re-training pipelines to ensure production accuracy and relevance. •Stay current on emerging ML and GenAI techniques (exposure to GenAI is a plus but not mandatory). Key Requirements: •2–3 years of hands-on experience in data science/machine learning/Deep Learning developer role. •Domain experience in FinTech, payments, or financial services (mandatory). •Proficiency in Python and popular ML/DL libraries: scikit-learn, XGBoost, TensorFlow, PyTorch. •Experience with model deployment, Docker, FastAPI/Flask, and building APIs. •Experience with MLOps tools (e.g., MLflow, DVC). •Strong knowledge of data preprocessing, feature engineering, and model evaluation •Familiarity with version control (Git), CI/CD workflows, and agile practices. •Strong communication and documentation skills.

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 : 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 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.

Job Title: AI Engineer Intern (Generative AI) Location: Viman nagar, Pune Type: Internship Duration: 6 months Stipend level: 7-10 K Role Overview As a Generative AI Engineer Intern, you will work on projects involving text, audio, image, and video generation. You will explore and train generative AI models, design creative workflows, and contribute to the development of innovative tools and solutions. This internship is an excellent opportunity to gain hands-on experience in one of the most exciting areas of AI and work on impactful projects. Key Responsibilities: AI Model Development & Training: Train and fine-tune generative models such as GPT, Stable Diffusion, DALL·E, and similar architectures for various creative outputs. Experiment with cutting-edge techniques in model training and optimization for specific use cases in text, audio, image, and video generation. Content Generation & Enhancement: Develop tools and pipelines for generating high-quality text, images, videos, and audio assets. Assist in creating datasets for model training and testing, ensuring data diversity and quality. Implement AI-driven techniques for enhancing and editing generated outputs. Research & Development: Explore state-of-the-art research in generative AI, keeping up with trends and advancements. Contribute to internal discussions and brainstorming sessions for new product ideas and features. Integration & Deployment: Collaborate with the engineering team to integrate generative AI models into user-facing applications. Test, debug, and improve generative AI systems to ensure smooth deployment and usability. Collaboration: Work closely with designers, developers, and product managers to understand requirements and deliver tailored generative AI solutions. Provide technical insights and documentation for projects. Qualifications: Technical Skills: Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or Keras. Knowledge of NLP, CV, and generative model architectures (e.g., GANs, Transformers, Diffusion Models). Experience with text, audio, image, or video generation tools (e.g., GPT, LLaMa, DALL·E, Stable Diffusion, etc.). Familiarity with dataset preprocessing and augmentation techniques. Basic knowledge of API development in either Node.js or Python Basic knowledge of Version control(Git, SVN) Soft Skills: Analytical mindset with a passion for problem-solving and innovation. Excellent communication skills and a team-oriented approach. Enthusiasm for generative AI and a creative spirit to push the limits of technology. Education: Bachelor of Technology Bachelor of Engineering Bachelor of Science Masters of Science Masters of Engineering Data Science Artificial Intelligence Machine Learning Preferred Qualifications: Experience with model fine-tuning or custom model training. Familiarity with existing generation frameworks (e.g. Midjourney, RunwayML,Luma, ElevenLabs, etc.). Knowledge of API development and integration for deploying AI models. What We Offer Hands-on experience working on exciting AI projects. Mentorship from experienced professionals in AI and technology. Opportunity to contribute to innovative solutions and gain industry exposure. A creative and collaborative work environment.

Job Title: AI/ML Engineer Location: Baner, Pune Company: Muks Robotics AI Pvt. Ltd. Experience: 1- 3+ years Employment Type: Full-time Position - 2 About Us At Muks Robotics AI Pvt. Ltd. , we are at the forefront of AI-driven robotics innovation. Our mission is to integrate Artificial Intelligence and Machine Learning into robotics solutions that transform industries and improve lives. We’re looking for a talented and passionate Senior AI/ML Engineer to join our growing team and help build intelligent systems that shape the future. Roles & Responsibilities: Design, develop, and implement cutting-edge machine learning and deep learning models for robotics and automation. Collaborate with cross-functional teams (Robotics, Embedded, Software) to integrate AI models into real-time robotic systems. Lead end-to-end AI/ML project lifecycles – from data collection, preprocessing, model training, evaluation, and deployment. Optimize models for performance and real-time inference on edge devices. Research and implement novel algorithms and techniques from recent AI/ML publications. Mentor junior engineers and contribute to team knowledge-sharing sessions. Monitor and maintain deployed models, ensuring robustness and accuracy over time. Required Skills: Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning, deep learning (CNNs, RNNs, Transformers), and computer vision. Hands-on experience with AI model deployment (TensorRT, ONNX, Docker, etc.). Experience with data pipelines, data augmentation, and annotation tools. Good knowledge of algorithms, data structures, and system design. Familiarity with ROS (Robot Operating System), edge computing, or real-time inference is a strong plus. Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Robotics, or related fields. Minimum 2 years of relevant industry experience in AI/ML with successful project deliveries. Publications in top AI/ML conferences (optional but desirable). Why Join Us? Work on cutting-edge robotics AI applications. Collaborative and research-oriented culture. Fast-paced, innovation-driven startup environment. Opportunities to lead and grow with the company.

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Mid-Senior level Min Experience: 3 years JobType: full-time About The Role We are looking for a highly skilled Computer Vision Engineer with deep expertise in Generative AI to join our cutting-edge visual computing team. In this role, you’ll design and deploy AI-driven systems that enable photorealistic image generation, object placement, and scene modification—transforming how users visualize furniture in real-world environments. This is an opportunity to build next-gen visual intelligence tools using the latest in diffusion models, rendering pipelines, and large-scale AI systems. Key Responsibilities 🎨 Generative Vision Modeling Develop and refine diffusion-based generative models for tasks including object insertion, transformation, and high-resolution rendering. Solve challenges in furniture placement, replacement, and scene consistency , delivering ultra-realistic outputs across diverse environments. 🔬 AI Research & Implementation Stay at the forefront of visual AI—implementing novel architectures in Stable Diffusion, DDPM, NeRF, GANs , or transformer-based generation. Translate state-of-the-art research into production-grade models optimized for speed and accuracy. 🧠 Model Development & Deployment Architect, train, and deploy scalable models using PyTorch and GPU-accelerated workflows. Optimize pipelines for real-time inference, memory efficiency, and photorealistic rendering. 🔁 Collaboration & Integration Work cross-functionally with design, product, and engineering teams to develop AI features that enhance user experience. Collaborate with DevOps to package and serve models via APIs and microservices in live environments. Technical Requirements ✅ Core Expertise 3–8 years of experience in Computer Vision , Deep Learning , or Generative AI . Proven experience working on image generation, object detection, and replacement with generative techniques. Mastery in PyTorch , with deep understanding of diffusion models and training paradigms. 🔧 Toolset & Frameworks Hands-on experience with Stable Diffusion , GANs , NeRF , or similar architectures. Strong understanding of 3D rendering pipelines , including lighting, shading, and texture mapping. Proficiency in CUDA for accelerated model training and deployment. 📊 Additional Skills Experience with large datasets , preprocessing, and augmentation techniques. Background in image synthesis , segmentation , or scene understanding is a plus. Soft Skills & Mindset Strong problem-solving abilities with a research-meets-product mindset. Ability to communicate complex concepts clearly and effectively to technical and non-technical teams. Team-first attitude with a drive to experiment, innovate, and iterate fast. Tech Keywords Diffusion Models Generative AI PyTorch Stable Diffusion NeRF GANs Computer Vision Photorealistic Rendering CUDA Object Placement 3D Vision Image Synthesis

Position: Senior Data Scientist (Part-time) Company: NPPD CARE Location: Remote Commitment: 20–25 hours per week Compensation: Equity-only (until funding is secured) Experience Required: 5+ years in Data Science / AI / ML About NPPD CARE NPPD CARE is a healthtech startup building an integrated ecosystem for hospitals, gyms, and wellness partners. We are currently developing core platforms and predictive tools that will power clinical intelligence, personalized care journeys, and scalable wellness programs. Our long-term vision includes launching HealthOS —a holistic, AI-enabled preventive healthcare platform. Role Overview We are seeking a Senior Data Scientist who can help architect and implement a data-driven foundation for the platform. You’ll play a central role in: Designing AI/ML models for wellness analytics and predictions Developing data strategies for hospitals, gyms, and B2C health profiles Translating product vision into smart, personalized data features This is a founding-level role for someone eager to build, experiment, and own core data capabilities. Key Responsibilities Build and deploy ML models for: Health score prediction Personalized wellness insights User behavior and risk analysis Design scalable data ingestion and preprocessing pipelines Integrate multi-source data from hospitals, fitness trackers, and user dashboards Define metrics and build dashboards/visualizations for team insights Work closely with the product and engineering team on MVP development and iteration Ensure data privacy, anonymization, and compliance with healthcare standards Tech & Tools Languages: Python, SQL Libraries: scikit-learn, pandas, TensorFlow or PyTorch Tools: Jupyter, Power BI or Streamlit, Git Data: Firebase, MongoDB/PostgreSQL, CSV/JSON APIs Cloud: AWS / GCP / Firebase (basic deployment knowledge) Ideal Candidate 5+ years in data science, with proven work in product or startup environments Strong grasp of predictive analytics, personalized modeling, and data storytelling Startup mindset – independent, proactive, iterative Interested in long-term vision and growth as part of a core founding team Open to equity-based engagement until institutional funding is secured What You Get Core team role in a mission-driven healthtech venture Complete ownership of the data science stack Flexibility to innovate, experiment, and lead Opportunity to transition into Head of Data Science/CDO role post-funding Skills: mongodb,csv,healthtech,data science,scikit-learn,json,tensorflow,aiml,gcp,python,pandas,jupyter,git,analytics,sql,streamlit,postgresql,pytorch,firebase,power bi,ml,aws

Key Responsibilities: Has user level knowledge of FEA (prep, post, meshing), along with FEA basics. Good Tool knowledge of Ansys workbench skills (Design Modeler and Ansys Mechanical), CREO/space claim, GT Suite, AVL, Simlab tool. Clear understanding of engineering concepts and fundamentals- FEM, SOM, Fatigue, Vibration, IC engine basics, material properties. Has working knowledge of FEA -3D components is preferable. (Added advantage: Automotive domain. as of block, head, exhaust manifolds etc. knowledge of block, head, oil pan, valve cover, exhaust manifold, intake manifold, gear train, valvetrain, crank shaft, power cylinder components related components is preferred) Independent user of low complexity work Should have a knowledge of Static, Fatigue, thermal fatigue, DBJ, Modal analysis and Sealing analysis. Should be able to do preprocessing, post processing, results sanity check and report preparation. RequirementsSkills and Experience Required: Educational Qualification - B. E. / M. Tech (optional) Experience- 6 Months to 1 Year,