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At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior - Full Stack Job Description: We are seeking a Senior Conversational Developer with extensive experience in designing and implementing complex solutions on Python, data engineering, JavaScript, ReactJS and node.JS. The ideal candidate should also have experience in conversational AI including leveraging Generative AI for developing chatbot solutions. Key Responsibilities: Lead the design, development, and deployment of applications. Write custom JavaScript code and integration with backend services. Collaborate with stakeholders to gather requirements and meet business needs. Test, debug, and refine to ensure optimal performance and user experience. Provide mentorship and code reviews for junior developers. Qualifications : Requires 3-5 years minimum prior relevant experience Bachelor's degree in computer science, Information Technology, or related field. Minimum of 5 – 8 years of experience in chatbot development. Advanced proficiency in JavaScript, including experience with asynchronous programming, AJAX, and API integrations. Knowledge of NLP and ML techniques in the context of conversational AI. Experience with other chatbot platforms is a plus. Strong problem-solving skills and the ability to work in a dynamic environment. Excellent communication skills for effective collaboration with technical and non-technical teams. A portfolio demonstrating successful chatbot projects is preferred. Skills : Strong skills in Python, JavaScript framework / related web technologies server-side programming such as node.JS and Azure cloud. Familiarity with API design and development, including RESTful APIs and web services. Experience with databases, including relational and understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Familiarity with NLP and ML applications in chatbots, feature extraction, entity extraction, intent classification etc. Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving, analytical and project management skills Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

CONSULTANT Noida 7-9 Years INDIA Job Description (Posting). Lead the design, development, and deployment of Generative AI models and solutions on cloud platforms such as Microsoft Azure, AWS, or GCP.Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.Drive the end-to-end lifecycle of AI/ML projects, from data collection and preprocessing to model training, evaluation, and deployment.Mentor and guide junior team members, fostering a culture of continuous learning and innovation.Stay updated with the latest advancements in Generative AI and AI/ML technologies, and integrate them into ongoing projects.Optimize and fine-tune AI models for performance, scalability, and reliability.Develop and maintain comprehensive documentation for all AI/ML projects and processes.Qualifications:10-13 years overall IT experience. Out of which 3-4 years hands-on experience in AI/ML, and at least 1 year in Generative AI.Strong proficiency in Python programming and experience with AI/ML frameworks, models and algorithms. Strong experience with leading LLMs, RAG, agentic automation, and agent frameworks like Lang Chain, Lang Graph, AutoGen, AutoGPT for Generative AI use-cases.Hands-on experience in Gen AI observability & monitoring via tools like Lang SmithExperience with deep learning, CNN, NLP, text-to-speech, speech-to-text, OCR, and image processing techniques.Experience in Infrastructure related use-cases leveraging Autonomous Agents and/or agentic platform. Should have hands-on experience building Autonomous agents for Gen AI related use-cases.Extensive experience with cloud platforms (Microsoft Azure/AWS/GCP/IBM WatsonX) and their AI/ML services.Extensive experience in Prompt Engineering and ability to design and build Prompt libraries for various scenarios applicable in Infrastructure.Thorough understanding of Responsible AI best practices and standards and experience of implementing them in Gen AI related projectsProven track record of leading and delivering complex AI/ML projects.Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.Strong communication and leadership skills, with the ability to articulate technical concepts to non-technical stakeholders.Preferred Skills:Experience with natural language processing (NLP) and computer vision.Familiarity with MLOps practices and tools.Knowledge of data engineering and big data technologies. (1.) To adhere to quality standards, regulatory requirements and company policies (2.) To ensure positive customer experience and CSAT through First Call Resolution and minimum rejected resolutions / Reopen Cases (3.) To participate or contribute on EN business in creation of proposals to drive Service improvement plans. (4.) To independently resolve tickets & esnure that the agreed SLA of ticket volume and time are met for the team. (5.) To provide support for on call escalations /L3 level support and doing incident & problem management (6.) Work on value adding activities such Knowledge base update & management, Training freshers, coaching analysts & conducting interviews/participation in hiring drives. Qualification B-Tech No. of Positions 1 Skill (Primary) Data Science-Artificial Intelligence-Gen AI Auto req ID 1486356BR Skill Level 3 (Secondary Skill 1) Data Science-Artificial Intelligence-Azure OpenAI Skill Level 3 (Secondary Skill 2) Microsoft-Azure Analytics-Azure ML

Role Summary: We are seeking a highly skilled and hands-on AI/ML Engineer with 1+ years of experience in design, development, and deployment of cutting-edge generative AI solutions integrated with robust data engineering practices. The ideal candidate will work across our AI initiatives, including NLP, deep learning, and end-to-end ML/data pipelines Key Responsibilities ● AI/ML Architecture & Development ○ Implement and deploy machine learning models in production environments ○ Work with generative AI models and NLP techniques (e.g., OpenAI, Claude APIs) ○ Apply prompt engineering and retrieval-augmented generation (RAG) techniques ○ Build end-to-end ML workflows from data preprocessing to model evaluation ○ Contribute to the development of conversational AI solutions ● Software Engineering & Data Pipeline Development ○ Design, build, and maintain data pipelines and end-to-end ML workflows. ○ Build and deploy web services that integrate ML models ○ Implement APIs using frameworks like FastAPI or Flask ○ Work with databases (preferably MySql) and data processing tools ○ Ensure code quality, performance, and security in all implementations ● Deployment & Integration ○ Build production-grade ML models and APIs and deploy them on cloud platforms with the help of DevOps team. ○ Ability to Monitor, analyze, and optimize the performance of deployed models and data workflows with the help of Devops team ● Collaboration ○ Work closely with cross-functional teams including data scientists and software engineers ○ Contribute to a culture of learning and innovation ○ Adapt to challenges even when requirements are ambiguous Technical Requirements ● Programming & Frameworks: ○ Strong proficiency in Python with hands-on experience in TensorFlow, PyTorch, Keras, and related ML libraries/Ecosystem. ○ Experience with data science tools (pandas, NumPymatplotlib, scikit-learn) ● Generative AI Expertise: ○ Knowledge of generative AI models and frameworks, including OpenAI APIs, LangChain, LangGraph, Hugging Face Transformers, and related technologies. ○ Experience in fine-tuning large language models (LLMs) and implementing RAG systems leveraging vector databases like Pinecone or similar. ○ Experience in developing multi-agent Retrieval-Augmented Generation (RAG) applications, integrating automated workflows to streamline data retrieval, processing, and response generation. ● API Development: ○ Experience in developing and deploying APIs using frameworks like FastAPI or Flask. Qualifications : ● Bachelor’s degree in Computer Science, Engineering or related field. ● 3 years of hands-on experience in AI/ML engineering, with expertise in generative AI and data engineering. ● Excellent problem-solving, analytical, and communication skills. ● Ability to work independently in a fast-paced, dynamic environment while effectively collaborating with cross-functional teams.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior - Full Stack Job Description: We are seeking a Senior Conversational Developer with extensive experience in designing and implementing complex solutions on Python, data engineering, JavaScript, ReactJS and node.JS. The ideal candidate should also have experience in conversational AI including leveraging Generative AI for developing chatbot solutions. Key Responsibilities: Lead the design, development, and deployment of applications. Write custom JavaScript code and integration with backend services. Collaborate with stakeholders to gather requirements and meet business needs. Test, debug, and refine to ensure optimal performance and user experience. Provide mentorship and code reviews for junior developers. Qualifications : Requires 3-5 years minimum prior relevant experience Bachelor's degree in computer science, Information Technology, or related field. Minimum of 5 – 8 years of experience in chatbot development. Advanced proficiency in JavaScript, including experience with asynchronous programming, AJAX, and API integrations. Knowledge of NLP and ML techniques in the context of conversational AI. Experience with other chatbot platforms is a plus. Strong problem-solving skills and the ability to work in a dynamic environment. Excellent communication skills for effective collaboration with technical and non-technical teams. A portfolio demonstrating successful chatbot projects is preferred. Skills : Strong skills in Python, JavaScript framework / related web technologies server-side programming such as node.JS and Azure cloud. Familiarity with API design and development, including RESTful APIs and web services. Experience with databases, including relational and understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Familiarity with NLP and ML applications in chatbots, feature extraction, entity extraction, intent classification etc. Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving, analytical and project management skills Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About BNP Paribas India Solutions Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union’s leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions. About BNP Paribas Group BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialized businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability Commitment to Diversity and Inclusion At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in. About Business Line/Function Within CIB (Corporate and Institutional Banking), the Business line Global Banking is recognized universally for its expertise and its know-how. GPCO (Global Payment and Cash Operations) is catering to different Asian and Middle East Regions to process remittance transactions/Loans Processing/ Cheque Clearing /Deposits and Cheque Collections for various clients. India remittance team is handling back-office processing on behalf of 8 branches and we have two 2 sites Mumbai & Chennai from where GPCO operates. Job Title Associate Level 1 Date 2025 Department Global Payment and Cash Operations Location: Chennai Business Line / Function Global Payment and Cash Operations - APAC Reports To (Direct) Process Manager Grade (if applicable) NA (Functional) Number Of Direct Reports NA Directorship / Registration NA Position Purpose To process, monitor and control transaction processing for Remittance & Payments preprocessing of BNPP WITH THE OBJECTIVE to facilitate smooth functioning of operations while meeting the Operations Objectives of BNPPISPL for all the sites handled. Responsibilities Direct Responsibilities OPERATIONS MANAGEMENT: Processing of Remittance & Payments transactions to ensure that they are accurate, as per the prescribed service delivery standards and as per the SLA with the sites. OPERATIONS RISK MANAGEMENT: Adhere to control plans and pay attention to risk related areas in operations. COMPLIANCE: Ensure adherence to internal guidelines, compliance, screening, legal and regulatory aspects. Anti-Money Laundering / Financial Sanctions (“AML/FS”) related duties Operations are an integral part of the control framework including for AML/FS topics. In that respect, in performing your role you are expected to ensure adherence to AML/FS-related Group Policies and execution of associated operational controls, and to promptly escalate any resulting hit for analysis and decision to the relevant authority. Contributing Responsibilities OPC: Contribute to the Operations Permanent Control framework. CUSTOMER SERVICE: Monitor turnaround times and operational efficiency. Resolve customer complaints and queries. CLIENT RELATIONSHIP MANAGEMENT: Support MO to address ultimate client needs and resolve customer complaints if any. Technical & Behavioral Competencies Technical Competencies Required Knowledge of preprocessing & processing of Remittance & Payments transactions. Knowledge of Basic Banking Internal Accounting Systems and Packages Familiarity with computer applications, MS-Office, Business Objects etc. Familiarity with Banking Back Office Operations, Processes and Systems. Knowledge on various regulations connected with Banking Operations Behavioural Competencies Required Good Communication Skills Good interpersonal skills Orientation towards Service Quality Ability to work independently Team work Specific Qualifications (if Required) NA Skills Referential Behavioural Skills: Ability to collaborate / Teamwork Attention to detail / rigor Communication skills - oral & written Client focused Transversal Skills Ability to develop and adapt a process Ability to understand, explain and support change Analytical Ability Ability to set up relevant performance indicators Education Level Ability to develop others & improve their skills Bachelor Degree or equivalent Experience Level At least 2 year Other/Specific Qualifications (if Required) NA

Key Responsibilities: Develop Python Code: Write efficient, maintainable code for AI/ML algorithms and systems. Model Development: Design, train, and deploy machine learning models (supervised, unsupervised, deep learning). Data Processing: Clean, preprocess, and analyze large datasets. Collaboration: Work with cross-functional teams to integrate AI/ML models into products. Optimization: Fine-tune models for performance, accuracy, and scalability. Required Skills: Strong Python programming skills, with experience in libraries like NumPy, pandas, scikit-learn, TensorFlow, or Py Torch. Hands-on experience in AI/ML model development and deployment. Knowledge of data preprocessing, feature engineering, and model evaluation. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and version control (Git). Degree in Computer Science, Data Science, or a related field. Job Type: Full-time Pay: ₹20,000.00 - ₹50,000.00 per month Benefits: Health insurance Schedule: Day shift Ability to commute/relocate: Indore Pardesipura, Indore, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Python: 1 year (Preferred) Work Location: In person

Job Title: Machine Learning Engineer Location: Bengaluru (Hybrid) Experience: 2-5 years About Wissen Infotech Wissen Infotech has been a trusted leader in the IT Services industry for over 25 years, delivering high-quality solutions to a global clientele. Within Wissen, the AI Center of Excellence (AI-CoE) was conceptualized to drive cutting-edge research and innovation, enabling us to build our own products and intellectual property. This team focuses on solving complex business challenges using AI while setting new benchmarks for reliable and scalable AI solutions. Position Overview We are seeking a passionate Machine Learning Engineer to join our AI-CoE team. This is a unique opportunity for individuals who are software engineers at heart and are driven to design, develop, and deploy robust AI systems. You will work on innovative projects, including building agentic systems, leveraging state-of-the-art technologies to create scalable and reliable distributed systems. Key Responsibilities Design and develop scalable machine learning models and deploy them in production environments. Build and implement agentic systems that can autonomously analyze tasks, process large volumes of unstructured data, and provide actionable insights. Collaborate with data scientists, software engineers, and domain experts to integrate AI capabilities into cutting-edge products and solutions. Develop deterministic and reliable AI systems to address real-world challenges. Create and optimize scalable, distributed ML pipelines. Perform data preprocessing, feature engineering, and model evaluation to ensure high performance and reliability. Stay abreast of advancements in AI technologies and incorporate them into business solutions. Participate in code reviews, contribute to system architecture discussions, and continuously enhance project workflows. Required Skills and Qualifications Software Engineering Fundamentals: Strong foundation in algorithms, data structures, and scalable system design. Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields with a solid academic track record. Experience: 2-5 years of hands-on experience in building AI systems or machine learning applications. Agentic Systems: Proven experience in developing systems that utilize AI agents for automating complex workflows, analyzing unstructured data, and generating actionable outcomes. Programming: Proficiency in programming languages such as Python, Java, or Scala. AI Expertise: Experience with machine learning frameworks like TensorFlow, PyTorch, or Hugging Face libraries (e.g., for working with transformer-based models and LLMs). MLOps Knowledge (preferred): Familiarity with tools like MLflow, Kubeflow, Airflow, Docker, or Kubernetes. Cloud Platforms: Hands-on experience with AWS, Azure, or Google Cloud for deploying machine learning models. Big Data: Experience with data processing tools and platforms such as Apache Spark or Hadoop. Problem-Solving: Strong analytical and problem-solving skills, with the ability to create robust solutions for complex challenges. Collaboration and Communication: Excellent communication skills to articulate technical ideas effectively to both technical and non-technical stakeholders. What We Offer An opportunity to work with cutting-edge AI technologies and solve challenging business problems. A collaborative, innovative, and inclusive work culture. Continuous learning opportunities and access to advanced research. Competitive salary and comprehensive benefits.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior - Full Stack Job Description: We are seeking a Senior Conversational Developer with extensive experience in designing and implementing complex solutions on Python, data engineering, JavaScript, ReactJS and node.JS. The ideal candidate should also have experience in conversational AI including leveraging Generative AI for developing chatbot solutions. Key Responsibilities: Lead the design, development, and deployment of applications. Write custom JavaScript code and integration with backend services. Collaborate with stakeholders to gather requirements and meet business needs. Test, debug, and refine to ensure optimal performance and user experience. Provide mentorship and code reviews for junior developers. Qualifications : Requires 3-5 years minimum prior relevant experience Bachelor's degree in computer science, Information Technology, or related field. Minimum of 5 – 8 years of experience in chatbot development. Advanced proficiency in JavaScript, including experience with asynchronous programming, AJAX, and API integrations. Knowledge of NLP and ML techniques in the context of conversational AI. Experience with other chatbot platforms is a plus. Strong problem-solving skills and the ability to work in a dynamic environment. Excellent communication skills for effective collaboration with technical and non-technical teams. A portfolio demonstrating successful chatbot projects is preferred. Skills : Strong skills in Python, JavaScript framework / related web technologies server-side programming such as node.JS and Azure cloud. Familiarity with API design and development, including RESTful APIs and web services. Experience with databases, including relational and understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Familiarity with NLP and ML applications in chatbots, feature extraction, entity extraction, intent classification etc. Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving, analytical and project management skills Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior - Full Stack Job Description: We are seeking a Senior Conversational Developer with extensive experience in designing and implementing complex solutions on Python, data engineering, JavaScript, ReactJS and node.JS. The ideal candidate should also have experience in conversational AI including leveraging Generative AI for developing chatbot solutions. Key Responsibilities: Lead the design, development, and deployment of applications. Write custom JavaScript code and integration with backend services. Collaborate with stakeholders to gather requirements and meet business needs. Test, debug, and refine to ensure optimal performance and user experience. Provide mentorship and code reviews for junior developers. Qualifications : Requires 3-5 years minimum prior relevant experience Bachelor's degree in computer science, Information Technology, or related field. Minimum of 5 – 8 years of experience in chatbot development. Advanced proficiency in JavaScript, including experience with asynchronous programming, AJAX, and API integrations. Knowledge of NLP and ML techniques in the context of conversational AI. Experience with other chatbot platforms is a plus. Strong problem-solving skills and the ability to work in a dynamic environment. Excellent communication skills for effective collaboration with technical and non-technical teams. A portfolio demonstrating successful chatbot projects is preferred. Skills : Strong skills in Python, JavaScript framework / related web technologies server-side programming such as node.JS and Azure cloud. Familiarity with API design and development, including RESTful APIs and web services. Experience with databases, including relational and understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Familiarity with NLP and ML applications in chatbots, feature extraction, entity extraction, intent classification etc. Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving, analytical and project management skills Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

LTIMIndtree is seeking a AI Assurance Architects for our Quality Engineering team in Bangalore. AI Expertise In-depth understanding of artificial intelligence, machine learning, and deep learning concepts. Knowledge of various AI frameworks, libraries, and tools (e.g., TensorFlow, PyTorch). Testing Methodologies Proficiency in designing and implementing testing methodologies specific to AI models and algorithms. Experience in testing different types of AI models, including supervised and unsupervised learning. Data Quality Assurance Expertise in assessing and ensuring the quality of training data for AI models. Familiarity with data preprocessing and cleaning techniques to enhance model performance. Automation and Tooling Strong skills in developing automation scripts using any of the Open-source tools for AI applications. Familiarity with specialized AI testing tools and frameworks. Performance and Scalability Testing Experience in assessing and optimizing the performance and scalability of AI models. Ability to simulate various scenarios to evaluate AI model behaviour under different conditions. Ethical AI Practices Knowledge of ethical considerations in AI and the ability to implement testing practices that align with responsible AI principles. Collaboration Effective collaboration with senior stakeholders, cross-functional teams. Regulatory Compliance Awareness of regulations and standards related to AI, ensuring testing practices comply with relevant guidelines. Problem-Solving Skills Strong analytical and problem-solving abilities to identify and address challenges in AI testing. Team Building Experience of building technology testing capability from scratch. LTIMindtree is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, dis-ability or any other characteristic protected by applicable law.

About Us At NexusLink Services , we are passionate about building intelligent, scalable solutions that drive real-world impact. As we expand our AI/ML capabilities, we’re looking for a Generative AI-focused Data Scientist to join our innovative and rapidly growing team. Role Overview We are seeking an experienced Data Scientist with deep expertise in Generative AI to design and implement cutting-edge models that solve real business problems. You will work with LLMs, GANs, RAG frameworks , and transformer-based architectures to build production-ready solutions across industries. Key Responsibilities Design, develop, and fine-tune Generative AI models (LLMs, GANs, Diffusion models, etc.) Work on RAG (Retrieval-Augmented Generation) and transformer-based architectures Customize and fine-tune LLMs for domain-specific use cases Build and manage robust ML pipelines for training, evaluation, and deployment Collaborate with engineering teams to integrate models into real-world applications Stay updated with the latest GenAI research, tools, and trends Analyze model outputs, monitor performance, and ensure responsible AI use Required Skills Strong Python skills with experience in ML/DL libraries: TensorFlow, PyTorch, HuggingFace Transformers Deep understanding of LLMs, GANs, RAG, Autoencoders , etc. Experience with LoRA, PEFT , or similar fine-tuning techniques Familiarity with Vector Databases (FAISS, Pinecone) and embeddings Expertise in data preprocessing, synthetic data generation Solid knowledge of NLP, prompt engineering , and language model safety Hands-on experience with model deployment, APIs , and cloud platforms (AWS/GCP/Azure) Nice to Have Experience with Chatbots, Conversational AI , or AI Assistants Familiarity with LangChain, LLMOps , or serverless model deployment Background in MLOps, Docker/Kubernetes , and CI/CD pipelines Exposure to OpenAI, Anthropic, Google Gemini , or Meta LLaMA

AI Research Scientist, Core AI Engine Company: Calaxis Location: Vapi, Gujarat Position Type: Full-Time About Calaxis: The Future of AI is Built on Trust The $15 trillion promise of artificial intelligence is currently being held hostage by a single, pervasive bottleneck: the quality of domain-specific data. Today, building trustworthy, specialized AI is an artisanal, slow, and prohibitively expensive process reserved for tech giants with billion-dollar budgets. This broken model kills innovation at the source, especially in markets like India. Calaxis is on a mission to change this. We are a deep-tech venture building a foundational platform to automate the end-to-end creation of flawless, high-quality datasets for any AI application. Our core innovation is a proprietary, self-improving system that uses a cascade of specialized AI models to systematically validate data for accuracy, compliance, and insight. By solving the data quality problem at its core, we are moving the AI industry from a capital-intensive to a method-intensive paradigm, democratizing the development of high-stakes AI for every vertical, from finance and healthcare to law and space tech. We are not just building another tool; we are architecting the trusted foundry for the next generation of artificial intelligence. The Mission: Architect Our Core AI Engine We are looking for a brilliant and pioneering AI Research Scientist to be the technical architect of our most defensible asset: our core AI validation engine. This is not a role for someone who simply applies existing models. This is a rare opportunity to design and build the core intellectual property of a deep-tech company from the ground up. Your mission will be to translate the most advanced concepts from academic research into a robust, scalable, and production-ready system that will define the new industry standard for data quality. You will own the technical vision for our validation cascade, building the AI agents that will serve as the heart of the Calaxis platform. You will be the "Architect" who draws the blueprints for our core technology, mentoring a passionate team of "Builders" and shaping the future of our company. What You Will Do: Architect and Build Our Core AI Validation Engine: Take full ownership of the design, development, and implementation of our foundational AI validators. This includes building models capable of: Ensuring compliance with complex regulatory and legal rules. Validating technical and mathematical accuracy in specialized documents. Interpreting and reasoning about multimodal data, including charts and graphs. Performing advanced quality assurance and using external tools to ground information against real-time data. Translate Research into Reality: Implement and innovate upon state-of-the-art AI frameworks. You will be working hands-on to build systems for: Multimodal visual understanding. Transparent and verifiable logical reasoning. Powerful, internet-enabled tool-using agents. Pioneer New Methodologies: Lead the implementation of novel training paradigms designed to instill deep domain expertise in our models, making them world-class validators. Build for Extensibility: Design a standardized framework that will allow Calaxis to rapidly develop and deploy new validation models for any future vertical our customers need. Develop the Customer-Facing Data Gatherer: Architect and build the AI agent that will empower our customers to automatically gather raw data from the internet, serving as the first step in the Calaxis pipeline. Collaborate and Mentor: Work closely with our MLOps and Engineering teams to integrate your models into our scalable PaaS. Act as a technical leader and mentor for our talented team, elevating the skills of the entire organization. Drive Innovation: Stay at the forefront of AI research, continuously identifying and prototyping new techniques that can enhance our platform and solidify our technical moat. Who You Are: The Expert We Need While modern LLMs are powerful tools, this role is not about using them; it's about architecting the novel systems they will inhabit. We are seeking an individual with the deep, first-principles understanding required to build what doesn't exist yet. Required Qualifications: A PhD in Computer Science, AI, NLP, or a related field, OR equivalent industry experience demonstrated by a strong portfolio of building novel AI systems from scratch. Proven, hands-on experience implementing complex model architectures from academic papers (e.g., Transformers, Vision-Language Models, Diffusion Models, Agentic Frameworks). Deep expertise in at least one of the following areas: Multimodal AI (Vision-Language Models), AI Agents (Tool-Use, Planning), or advanced NLP for specialized domains (e.g., legal, financial). Exceptional proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. A profound understanding of the entire machine learning lifecycle, from data preprocessing and advanced fine-tuning techniques (SFT, RLHF, DPO) to model evaluation and deployment. Strong software engineering fundamentals and the ability to write clean, scalable, production-grade code. Preferred Qualifications (Bonus Points): A track record of publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICLR). Direct experience implementing advanced AI frameworks for agentic tool-use, logical reasoning, or multimodal understanding. Experience building and deploying multi-agent AI systems. A passion for working in a fast-paced, product-driven startup environment. Why Join Calaxis? Solve a Fundamental Problem: You will be tackling one of the most significant challenges holding back the entire AI industry. The work you do here will have a ripple effect across every sector. Build from Zero to One: This is a greenfield opportunity to be the founding architect of a company's core technology. Your decisions and innovations will directly shape our product, culture, and success. Massive Impact and Ownership: You won't be a small cog in a large machine. You will have unparalleled ownership and the opportunity to build a platform that democratizes AI for millions of developers and businesses worldwide. A Culture of Learning and Ambition: Join a passionate founding team that believes in fostering talent. We are ambitious, agile, and dedicated to building a generational company. Competitive Compensation: We offer a highly competitive salary, significant equity, and comprehensive benefits to ensure you are rewarded for your foundational contributions. If you are a builder, a pioneer, and an expert who is driven to solve hard problems that matter, we want to hear from you. How to Apply: Please submit your resume, a link to your GitHub profile or portfolio, and a brief cover letter explaining why you are the right person to architect the future of AI data quality at Calaxis.

Key Responsibilities: Analyze, interpret, and mine data from various sources to identify trends and insights. Perform data cleaning and preprocessing to ensure accuracy and consistency. Organize and manage large datasets using Excel and other MS Office tools. Maintain and update data spreadsheets, ensuring data integrity. Assist in generating reports and presentations for stakeholders. Collaborate with team members and management to optimize data-driven strategies. Perform basic data mining techniques under guidance and supervision. Required Skills & Qualifications: Experience: 0-2 years in a similar role. Education: A relevant Bachelor’s degree from a recognized university (preferably in fields like Computer Science, Statistics, Mathematics, or related disciplines). Skills: Strong communication skills for clear reporting and collaboration. Proficiency in MS Office applications (Word, PowerPoint, etc.). Intermediate Excel skills (functions, data manipulation, charting). Good typing skills and attention to detail for efficient data handling. Preferred Qualifications: Certification in Excel (e.g., Microsoft Excel certification or similar) Job Type: Full-time Pay: ₹18,000.00 - ₹22,000.00 per month Schedule: Day shift Ability to commute/relocate: Delhi, Delhi: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is your current compensation? What is your expected compensation? Are you ok with New Delhi, Connaught Place location? Education: Bachelor's (Required) Experience: Data mining: 1 year (Required) Language: English (Required) Location: Delhi, Delhi (Required) Work Location: In person

Job Summary: We are seeking a proactive and detail-oriented Data Scientist to join our team and contribute to the development of intelligent AI-driven production scheduling solutions. This role is ideal for candidates passionate about applying machine learning, optimization techniques, and operational data analysis to enhance decision-making and drive efficiency in manufacturing or process industries. You will play a key role in designing, developing, and deploying smart scheduling algorithms integrated with real-world constraints like machine availability, workforce planning, shift cycles, material flow, and due dates. Experience: 1 Year Responsibilities: 1. AI-Based Scheduling Algorithm Development Develop and refine scheduling models using: Constraint Programming Mixed Integer Programming (MIP) Metaheuristic Algorithms (e.g., Genetic Algorithm, Ant Colony, Simulated Annealing) Reinforcement Learning or Deep Q-Learning Translate shop floor constraints (machines, manpower, sequence dependencies, changeovers) into mathematical models. Create simulation environments to test scheduling models under different scenarios. 2. Data Exploration & Feature Engineering Analyze structured and semi-structured production data from MES, SCADA, ERP, and other sources. Build pipelines for data preprocessing, normalization, and handling missing values. Perform feature engineering to capture important relationships like setup times, cycle duration, and bottlenecks. 3. Model Validation & Deployment Use statistical metrics and domain KPIs (e.g., throughput, utilization, makespan, WIP) to validate scheduling outcomes. Deploy solutions using APIs, dashboards (Streamlit, Dash), or via integration with existing production systems. Support ongoing maintenance, updates, and performance tuning of deployed models. 4. Collaboration & Stakeholder Engagement Work closely with production managers, planners, and domain experts to understand real-world constraints and validate model results. Document solution approaches, model assumptions, and provide technical training to stakeholders. Qualifications: Bachelor’s or Master’s degree in: Data Science, Computer Science, Industrial Engineering, Operations Research, Applied Mathematics, or equivalent. Minimum 1 year of experience in data science roles with exposure to: AI/ML pipelines, predictive modelling, Optimization techniques or industrial scheduling Proficiency in Python, especially with: pandas, numpy, scikit-learn ortools, pulp, cvxpy or other optimization libraries, matplotlib, plotly for visualization Solid understanding of: Production planning & control processes (dispatching rules, job-shop scheduling, etc.), Machine Learning fundamentals (regression, classification, clustering) Familiarity with version control (Git), Jupyter/VSCode environments, and CI/CD principles Preferred (Nice-to-Have) Skills: Experience with: Time-series analysis, sensor data, or anomaly detection, Manufacturing execution systems (MES), SCADA, PLC logs, or OPC UA data, Simulation tools (SimPy, Arena, FlexSim) or digital twin technologies Exposure to containerization (Docker) and model deployment (FastAPI, Flask) Understanding of lean manufacturing principles, Theory of Constraints, or Six Sigma Soft Skills: Strong problem-solving mindset with ability to balance technical depth and business context. Excellent communication and storytelling skills to convey insights to both technical and non-technical stakeholders. Eagerness to learn new tools, technologies, and domain knowledge.

Role: Data Science and Engineering Specialist Total Experience: 7-12 years Job Location: Chennai Mode of Hire: Permanent Educational Qualification : Any (Full Time Graduate) Role Description: The Data Science and Engineering Specialist is responsible for leveraging data science techniques and engineering principles to develop and optimize data-driven solutions. This role combines the analytical skills of a data scientist with the technical expertise of a prompt engineer to create innovative models and systems that drive business insights and efficiencies. Main Responsibilities: Develop and implement data models and algorithms. Design and optimize data pipelines and workflows. Collaborate with cross-functional teams to understand data needs. Analyze large datasets to extract actionable insights. Create and maintain documentation for data processes. Ensure data quality and integrity throughout the data lifecycle. Develop and deploy machine learning models. Perform data preprocessing and feature engineering. Monitor and improve the performance of data systems. Stay updated on the latest data science and engineering trends. Required Competences: Proficiency in data science tools and languages (e.g., Python, R). Strong understanding of machine learning algorithms. Expertise in data engineering and ETL processes. Excellent problem-solving and analytical skills. Ability to work with large and complex datasets. Strong communication and collaboration abilities. Knowledge of cloud platforms and big data technologies. Experience with data visualization tools. Understanding of software development principles. Ability to translate business requirements into technical solutions. Kindly Share the below mentioned details to this email id – akshay.ganar@atos.net and once your profile is shortlisted you will receive the call from us. Total IT Experience - Experience in Data Science – Experience in Python, R programming - Current CTC- Expected CTC - Notice Period/LWD - Offer if any - Current Location - Preferred Location –

Location : Ahmedabad Work Mode : Work From Office Working Days : 5.5 working days a week We’re looking for a talented Data Scientist enthusiast who uses analytical, statistical, and programming skills to collect large data sets & develop data-driven solutions. Technical Skills:  Language: Python  Proficiency in data mining, mathematics, and statistical analysis  Machine learning techniques and algorithms, with good expertise in optimization  Cloud: GCP (Preferred) /Azure  Data-oriented personality Ideally, you should have: 04 to 06 years of proven experience as a Data Scientist  Identify valuable data sources and automate collection processes  Undertake preprocessing of structured and unstructured data  Analyze large amounts of information to discover trends and patterns  Run optimization algorithms to identify the best solution (Linear Programming expertise required)  Build predictive models and machine-learning algorithms  Combine models through ensemble modeling  Present information using data visualization techniques  Proficiency in Python and Machine Learning.  Experience with Generative AI and Agentic AI models.  Strong analytical mind and business acumen.  Excellent problem-solving aptitude.  Effective communication and presentation skills.  Knowledge of the Indian power sector will be a definite plus

📍 Location : Enream, HSR Layout, Bangalore, India 💰 Stipend : ₹5,000–₹10,000 per month (Paid Internship) 🕒 Duration : 6 months 🖥️ Mode : Remote with occasional in-person meetings (Bangalore) 🚀 Start Date : Immediate 🎓 Eligibility : Freshers, Pre-Final/Final Year Students, Recent Graduates About the Internship Enream is looking for motivated early-career professionals for a 6-month, full-time Data Science Internship. The internship is structured into two stages to provide both foundational training and hands-on industry exposure: 1. Domain Development Stage (Months 1–3) Research core industry domain knowledge and data science concepts Gain hands-on experience in data analysis, statistics, data visualization, and foundational machine learning Receive mentor-led guidance and complete applied assignments 2. Project Implementation Stage (Months 4–6) Work on real-world data science projects with cross-functional teams Perform data collection, cleaning, and exploratory analysis Contribute to predictive model development and insight reporting Receive continuous feedback and participate in review sessions Key Responsibilities Assist in data collection, preprocessing, and market research Conduct exploratory data analysis (EDA) to extract actionable insights Apply statistical methods and basic ML algorithms Create data visualizations using tools like Power BI, Tableau, or Python libraries Contribute to technical documentation and pre-sales materials Build use case narratives based on customer journey and product impact Collaborate with team members on product and data initiatives Eligibility Criteria Final year students, fresh graduates, or early-career professionals with interest in data science Basic knowledge of Python and statistics preferred Willingness to learn, adapt, and work in a collaborative team environment Availability for a full-time 6-month internship (Monday–Friday) What You’ll Gain Hands-on experience with real-world industry datasets and tools Daily mentorship and feedback sessions Structured feedback and growth-focused evaluations About Enream Enream is a fast-growing analytics company specializing in modern asset performance analytics for the energy sector. Our solutions help organizations enhance equipment reliability, optimize plant operations, and minimize failure risks. We integrate complex data from multiple systems to deliver actionable insights, powered by AI and machine learning.

Job Title: AI/ML Engineer – Python Experience Required: 4 to 5 Years Location: Office Job Type: Full-Time Job Summary: We are looking for a talented and experienced AI/ML Engineer with strong proficiency in Python to join our team. The ideal candidate will have 4–5 years of hands-on experience in developing machine learning models, implementing AI solutions, and deploying them into production environments. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models using Python. Work with large datasets to perform data cleaning, preprocessing, and feature engineering . Collaborate with cross-functional teams to define use cases, build prototypes, and deliver scalable ML solutions. Evaluate and tune model performance using techniques like cross-validation , hyperparameter tuning , etc. Use libraries like scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy , and OpenCV . Deploy ML models using APIs, Docker, cloud platforms (AWS, GCP, Azure) , or MLOps pipelines. Stay updated on the latest AI/ML research and apply relevant innovations to solve business problems. Document model workflows, performance metrics, and code for reproducibility and compliance. Required Skills & Qualifications: Bachelor's/Master’s degree in Computer Science, Artificial Intelligence, Data Science , or related field. 4–5 years of experience in AI/ML development using Python . Solid understanding of ML algorithms (classification, regression, clustering, NLP, computer vision). Experience with model deployment and productionizing AI solutions . Familiarity with cloud platforms (AWS Sagemaker, Azure ML, or GCP AI Platform) is a plus. Strong analytical, problem-solving, and programming skills. Ability to interpret business needs and translate them into technical solutions. Preferred Tools & Frameworks: Python , scikit-learn , TensorFlow , Keras , PyTorch Pandas , NumPy , Matplotlib , Seaborn Flask/FastAPI for deploying models MLflow , Docker , Git , Jupyter Notebooks Exposure to NLP , Computer Vision , or Reinforcement Learning is a plus Certifications (Optional but Preferred): TensorFlow Developer Certificate AWS Certified Machine Learning – Specialty Google Professional ML Engineer Microsoft Certified: Azure AI Engineer Associate

We are seeking a talented and experienced Senior Data Scientist specializing in handling massive tabular data on Large Language Models (LLMs) to join our clients team Mobilewalla, a global, fast-growing consumer data and technology company headquartered in Atlanta, GA, USA. You will play a crucial role in leveraging your expertise in tabular data analysis and LLMs to extract insights, build predictive models, and drive data-driven decisions at scale, especially for our Telco Vertical product. Collaborating closely with fellow engineers, you will contribute to the evolution of our platform by developing large-scale systems that process and act on massive amounts of data both in real-time and offline. Responsibilities: Utilize Large Language Models: Harness the power of Large Language Models (LLMs) to analyze massive volumes of tabular data efficiently and effectively. Tabular Data Analysis: Apply advanced statistical techniques and machine learning algorithms to uncover patterns, trends, and anomalies in complex tabular datasets. Predictive Modelling: Develop and deploy predictive models using LLMs to forecast future trends, identify potential risks, and optimize business outcomes based on large-scale tabular data. Data Handling and Pre-processing: Lead efforts in cleaning, pre-processing, and transforming raw tabular data to ensure quality, consistency, and scalability for analysis. Collaborative Problem-Solving: Collaborate closely with cross-functional teams to understand business challenges, formulate data-driven solutions, and drive actionable insights from tabular data. Product Enhancement: - Work closely with product managers to identify market trends and customer needs, translating them into actionable data science projects. - Provide data-driven recommendations to improve product features, user engagement, and overall customer satisfaction. Communication and Visualization: Effectively communicate findings, insights, and recommendations to non-technical stakeholders through clear visualizations, reports, and presentations. Mentorship and Leadership: Provide guidance, mentorship, and technical leadership to junior data scientists and team members, fostering a culture of learning and innovation. Qualifications: Educational Background: - Masters or Ph.D. in Data Science, Statistics, Computer Science, or a related field. Large Language Models (LLMs): Extensive experience working with Large Language Models (LLMs) such as GPT (Generative Pre-trained Transformer) for processing and analyzing tabular data at scale. Programming Proficiency: Strong proficiency in programming languages such as Python or R, with expertise in libraries such as PySpark, Pandas, NumPy, scikit-learn, and TensorFlow/PyTorch for data manipulation, analysis, and modeling. Experience: - Proven track record of at least 4-5 years in a data science role with a focus on Telco competitive intelligence products. - Strong experience in applying machine learning algorithms and statistical modeling in the Telco domain. Technical Skills: - Proficiency in programming languages such as Python or R. - Hands-on experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, PySpark) and data manipulation tools. Domain Knowledge: - In-depth understanding of Telecommunications industry trends, challenges, and emerging technologies. - Familiarity with Telco-specific datasets and data sources. Preferred Qualification: - Experience with Location Intelligence, including geospatial analytics, GIS tools, and the application of location-based data in Telco products. Collaboration: - Proven ability to collaborate effectively with cross-functional teams, including product management, engineering, and business stakeholders. Communication Skills: - Excellent communication skills with the ability to present complex technical findings in a clear and understandable manner. If you are a passionate & innovative problem solver with expertise in Telco products, we invite you to join the team and contribute to the success of our cutting-edge products in the telecommunications space.,

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.

Job Title: Senior AI/ML Developer (Onsite) Location: Riyadh, Saudi Arabia Job Type: Full-Time, Onsite Experience Required: 5+ years Interested candidates can send their resume and a cover letter to hr@whitemastery.com or contact 9176760030 About the Role We are looking for a passionate and highly skilled Senior Artificial Intelligence and Machine Learning Developer to join our growing tech team onsite . If you are someone who thrives in a dynamic environment, enjoys solving complex problems using intelligent systems, and wants to be part of building cutting-edge solutions that drive real-world impact — we want to hear from you. This role demands strong technical leadership, a proactive mindset, and the ability to architect and deploy robust AI/ML models. As a senior member of the team, you will also mentor juniors and actively collaborate with cross-functional teams. Key Responsibilities Design, develop, and deploy AI/ML models and systems for real-world applications Build end-to-end pipelines including data preprocessing, model training, validation, and deployment Research and implement advanced ML algorithms, deep learning models, and NLP techniques Collaborate with data scientists, product managers, and software engineers to deliver AI-powered features Ensure scalability, reliability, and performance of deployed models Stay ahead of the curve with the latest developments in AI/ML and drive innovation Mentor junior developers and help shape technical best practices within the team Key Skills & Qualifications Strong programming skills in Python and Golang Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Scikit-learn Solid grasp of machine learning, deep learning, NLP , and model interpretability techniques Experience with model deployment, MLOps , and version control tools Strong understanding of data structures, algorithms, and system design Experience working with cloud platforms (AWS/GCP/Azure) is a plus Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field Excellent problem-solving, analytical, and communication skills Minimum 5 years of experience in AI/ML development, with proven track record in delivering production-grade models Job Type: Full-time Pay: ₹800,000.00 - ₹1,000,000.00 per year Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): When can you join us? Do you hold a valid passport? Work Location: In person

Job Title: AI/ML Engineer Location: 100% Remote Job Type: Full-Time About the Role: We are seeking a highly skilled and motivated AI/ML Engineer to design, develop, and deploy cutting-edge ML models and data-driven solutions. You will work closely with data scientists, software engineers, and product teams to bring AI-powered products to life and scale them effectively. Key Responsibilities: Design, build, and optimize machine learning models for classification, regression, recommendation, and NLP tasks. Collaborate with data scientists to transform prototypes into scalable, production-ready models. Deploy, monitor, and maintain ML pipelines in production environments. Perform data preprocessing, feature engineering, and selection from structured and unstructured data. Implement model performance evaluation metrics and improve accuracy through iterative tuning. Work with cloud platforms (AWS, Azure, GCP) and MLOps tools to manage model lifecycle. Maintain clear documentation and collaborate cross-functionally across teams. Stay updated with the latest ML/AI research and technologies to continuously enhance our solutions. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in ML model development and deployment. Proficient in Python and libraries such as scikit-learn, TensorFlow, PyTorch, pandas, NumPy, etc. Strong understanding of machine learning algorithms, statistical modeling, and data analysis. Experience with building and maintaining ML pipelines using tools like MLflow, Kubeflow, or Airflow. Familiarity with containerization (Docker), version control (Git), and CI/CD for ML models. Experience with cloud services such as AWS SageMaker, GCP Vertex AI, or Azure ML.

As an AI intern at Atomo Innovation PVT Ltd, you will have the exciting opportunity to work with cutting-edge technologies and contribute to innovative projects that are shaping the future. We are looking for a passionate individual who is well-versed in Python, Data Structures, Data Science, Machine Learning, NLP, Neural Networks, AI, and Deep Learning. Selected Intern's Day-to-day Responsibilities Include Assist in the development and implementation of AI algorithms and models. Conduct research and analysis to improve existing AI systems. Collaborate with the team to brainstorm and problem-solve for AI solutions. Work on data preprocessing and cleaning for AI projects. Support the implementation of NLP techniques for text analysis. Participate in training and testing of neural networks for various tasks. Stay updated with the latest trends and advancements in AI technology. If you are a motivated individual with a passion for AI and a desire to gain valuable hands-on experience in the field, then this internship opportunity at Atomo Innovation PVT Ltd is perfect for you. Join us in pushing the boundaries of AI innovation and making a meaningful impact on the world. About Company: Atomo Innovation Pvt. Ltd., an Indian deep-tech company developing low-power, modular edge computing devices integrated with onboard Neural Processing Unit (NPU) and multi-protocol support including BLE, Zigbee, Wi-Fi, RF, IR, Thread, and Matter. Our innovation combines efficient hardware with a lightweight operating system, AtomicOS, optimized for secure, real-time decision-making and edge-level AI inference.

As an AI intern at Atomo Innovation PVT Ltd, you will have the exciting opportunity to work with cutting-edge technologies and contribute to innovative projects that are shaping the future. We are looking for a passionate individual who is well-versed in Python, Data Structures, Data Science, Machine Learning, NLP, Neural Networks, AI, and Deep Learning. Selected Intern's Day-to-day Responsibilities Include Assist in the development and implementation of AI algorithms and models. Conduct research and analysis to improve existing AI systems. Collaborate with the team to brainstorm and problem-solve for AI solutions. Work on data preprocessing and cleaning for AI projects. Support the implementation of NLP techniques for text analysis. Participate in training and testing of neural networks for various tasks. Stay updated with the latest trends and advancements in AI technology. If you are a motivated individual with a passion for AI and a desire to gain valuable hands-on experience in the field, then this internship opportunity at Atomo Innovation PVT Ltd is perfect for you. Join us in pushing the boundaries of AI innovation and making a meaningful impact on the world. About Company: Atomo Innovation Pvt. Ltd., an Indian deep-tech company developing low-power, modular edge computing devices integrated with onboard Neural Processing Unit (NPU) and multi-protocol support including BLE, Zigbee, Wi-Fi, RF, IR, Thread, and Matter. Our innovation combines efficient hardware with a lightweight operating system, AtomicOS, optimized for secure, real-time decision-making and edge-level AI inference.

As an AI intern at Atomo Innovation PVT Ltd, you will have the exciting opportunity to work with cutting-edge technologies and contribute to innovative projects that are shaping the future. We are looking for a passionate individual who is well-versed in Python, Data Structures, Data Science, Machine Learning, NLP, Neural Networks, AI, and Deep Learning. Selected Intern's Day-to-day Responsibilities Include Assist in the development and implementation of AI algorithms and models. Conduct research and analysis to improve existing AI systems. Collaborate with the team to brainstorm and problem-solve for AI solutions. Work on data preprocessing and cleaning for AI projects. Support the implementation of NLP techniques for text analysis. Participate in training and testing of neural networks for various tasks. Stay updated with the latest trends and advancements in AI technology. If you are a motivated individual with a passion for AI and a desire to gain valuable hands-on experience in the field, then this internship opportunity at Atomo Innovation PVT Ltd is perfect for you. Join us in pushing the boundaries of AI innovation and making a meaningful impact on the world. About Company: Atomo Innovation Pvt. Ltd., an Indian deep-tech company developing low-power, modular edge computing devices integrated with onboard Neural Processing Unit (NPU) and multi-protocol support including BLE, Zigbee, Wi-Fi, RF, IR, Thread, and Matter. Our innovation combines efficient hardware with a lightweight operating system, AtomicOS, optimized for secure, real-time decision-making and edge-level AI inference.