8735 Pytorch Jobs - Page 4

You should hold a Bachelor's degree in Physics, Mathematics, Engineering, Metallurgy, or Computer Science, along with an MSc in a relevant field such as Physics, Mathematics, Engineering, Computer Science, Chemistry, or Metallurgy. Additionally, you should possess at least 8 years of experience in Data Science and Analytics delivery. Your expertise should include deep knowledge of machine learning, statistics, optimization, and related fields. Proficiency in programming languages like R and Python is essential, as well as experience with machine learning skills such as Natural Language Processing (NLP) and deep learning techniques. Furthermore, you should have hands-on experience with deep learning frameworks like TensorFlow, Keras, Theano, or PyTorch, and be familiar with working with large datasets, including knowledge of extracting data from cloud platforms and the Hadoop ecosystem. Experience in Data Visualization tools like MS Power BI or Tableau, as well as proficiency in SQL and working with RDBMS for data extraction and management, is required. An understanding of Data Warehouse fundamentals, experience in productionizing Machine Learning models in cloud platforms like Azure, GCP, or AWS, and domain experience in the manufacturing industry would be advantageous. Demonstrated leadership skills in nurturing technical talent, successfully completing complex data science projects, and excellent written and verbal communication are essential. As an AI Expert with a minimum of 10 years of experience, your key responsibilities will include serving as a technical expert, providing guidance in the development and implementation of AI solutions, and collaborating with cross-functional teams to integrate AI technologies into products and services. You will actively participate in Agile methodologies, contribute to PI planning, and support the technical planning of products. Additionally, you will analyze technical requirements, propose AI-based solutions, collaborate with stakeholders to design AI models that meet business objectives, and stay updated on the latest advancements in AI technologies. Your role will involve conducting code reviews, mentoring team members, and driving the adoption of AI technologies across the organization. Strong problem-solving skills, a proactive approach to problem resolution, and the ability to work under tight deadlines without compromising quality are crucial for this role. Overall, you will play a critical role in driving significant impact and value in building and growing the Data Science Centre of Excellence, providing machine learning methodology leadership, and designing various POCs using ML/DL/NLP solutions for enterprise problems. Your ability to learn new technologies and techniques, work in a fast-paced environment, and partner with the business to unlock value through data projects will be key to your success in this position.,

As a Senior AI Engineer specializing in Computer Vision and Azure Cloud at INNOFarms.AI, a pioneering Agri DeepTech startup, you will play a crucial role in developing cutting-edge AI and Robotics solutions for the advancement of climate-resilient smart farming practices. Our mission at INNOFarms.AI is to revolutionize food production in urban and resource-constrained areas by leveraging AI, robotics, and market intelligence to create a modular and scalable infrastructure for indoor vertical farming and Controlled Environment Agriculture (CEA). By addressing key challenges such as crop unpredictability, labor intensity, and supply-demand alignment, we are committed to driving sustainable food production globally. Your responsibilities will include designing and implementing advanced computer vision systems for object detection, segmentation, and tracking, as well as building and managing scalable data pipelines from diverse field and sensor datasets. In addition, you will collaborate across disciplines to integrate computer vision models with robotics, drones, and IoT systems. Leveraging Azure Cloud services like IoT Hub, Functions, CosmosDB, and Event Hubs, you will deploy production-grade AI models and continuously optimize algorithms for improved speed, accuracy, and performance. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, AI, or a related field, with at least 5 years of experience in AI, SaaS, Cloud, or IoT development. You must possess specialized expertise in computer vision, particularly in object detection, tracking, and segmentation, and be proficient in tools such as OpenCV, TensorFlow, PyTorch, and modern MLOps workflows. Familiarity with Azure Cloud services and experience in building image data pipelines and multi-head CV models are essential. A startup mindset, strong collaboration skills, and the ability to work in fast-paced environments are key attributes we are looking for in potential candidates. While not mandatory, a background in AgriTech, Smart Automation, or IoT ecosystems, along with knowledge of global data compliance, cybersecurity, and AI governance best practices, would be advantageous. Experience in mentoring junior engineers or leading small teams is a plus. If you are passionate about driving innovation in sustainable agriculture and eager to be part of a dynamic team shaping the future of food production, we invite you to join us at INNOFarms.AI. Your contribution will not only involve writing code but also be a driving force behind the AgriTech revolution. Take the first step towards transforming the agriculture industry by applying now and becoming a catalyst for positive change in global food systems.,

As a Deep Learning Engineer Intern, you will have the opportunity to work on our core ML stack, focusing on areas such as Computer Vision, Recommendation Systems, and LLM-based Features (optional). Working closely with our senior engineers, you will gain hands-on experience with real data, address edge-case challenges, and rapidly iterate on prototypes that drive our food-robotic machine. You will be an integral part of a focused 2-person full-time ML team, serving as our first intern and reporting directly to the Lead. This small team size ensures significant mentorship opportunities and allows you to make a direct impact on product development. Your responsibilities will include: - Working on tasks such as Ingredient Segmentation, Recipe Similarity, and Vision-Language Models - Packaging and deploying models for on-device inference and AWS services - Supporting data collection and annotation, refining datasets based on model performance - Iterating on experiments, tuning hyperparameters, testing augmentations, and documenting results We are looking for candidates with: - Strong fundamentals in Deep Learning (Transformers, CNNs) and classical ML (Logistic / Linear regression) - Hands-on experience with PyTorch in academic projects, internships, or personal work - Proficiency in Python and the broader ML ecosystem (NumPy, pandas) - Solid understanding of training pipelines, evaluation metrics, and experimental rigor - Eagerness to learn new domains such as NLP and recommendations Nice to have skills include prior exposure to LLMs or multimodal models, experience with computer vision in challenging real-world environments, and projects involving noisy, real-world datasets or edge-case-heavy scenarios. Working with us, you will enjoy: - Early ownership of ML features, contributing end-to-end to projects - Hands-on experience with real robotic systems in homes, witnessing your models in action - Direct access to senior ML engineers for mentorship in a small, focused team environment - Rapid feedback loops that allow you to prototype, deploy, and learn quickly - A clear growth path with strong potential for full-time conversion into our rapidly expanding ML team We are looking for candidates who are currently enrolled in a B.Tech or M.Tech program (3-4 years into their degree), possess strong math and ML fundamentals beyond using off-the-shelf libraries, thrive in an ambiguous, fast-paced startup environment, and are always curious, enjoying building, experimenting, and sharing insights. Location: Bangalore (4 days WFO & 1 day WFH) Duration: 3-6 month internship Compensation: 1,00,000/month To apply, ensure your resume includes a project portfolio with the following: - GitHub profile showcasing ML/deep learning projects - Public codebase from coursework, internships, or personal work - Kaggle notebooks or competition solutions with leaderboard standings,

As a Python Backend Engineer specializing in AWS with a focus on GenAI & ML, you will be responsible for designing, developing, and maintaining intelligent backend systems and AI-driven applications. Your primary objective will be to build and scale backend systems while integrating AI/ML models using Django or FastAPI. You will deploy machine learning and GenAI models with frameworks like TensorFlow, PyTorch, or Scikit-learn, and utilize Langchain for GenAI pipelines. Experience with LangGraph will be advantageous in this role. Collaboration with data scientists, DevOps, and architects is essential to integrate models into production. You will be working with AWS services such as EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment purposes. Additionally, managing CI/CD pipelines for backend and model deployments will be a key part of your responsibilities. Ensuring the performance, scalability, and security of applications in cloud environments will also fall under your purview. To be successful in this role, you should have at least 5 years of hands-on experience in Python backend development and a strong background in building RESTful APIs using Django or FastAPI. Proficiency in AWS cloud services is crucial, along with a solid understanding of ML/AI concepts and model deployment practices. Familiarity with ML libraries like TensorFlow, PyTorch, or Scikit-learn is required, as well as experience with Langchain for GenAI applications. Experience with DevOps tools such as Docker, Kubernetes, Git, Jenkins, and Terraform will be beneficial. An understanding of microservices architecture, CI/CD workflows, and agile development practices is also desirable. Nice to have skills include knowledge of LangGraph, LLMs, embeddings, and vector databases, as well as exposure to OpenAI APIs, AWS Bedrock, or similar GenAI platforms. Additionally, familiarity with MLOps tools and practices for model monitoring, versioning, and retraining will be advantageous. This is a full-time, permanent position with benefits such as health insurance and provident fund. The work location is in-person, and the schedule involves day shifts from Monday to Friday in the morning. If you are interested in this opportunity, please contact the employer at +91 9966550640.,

As a Learning Data Science/Machine Learning Professional at our organization, you will be responsible for conducting live instruction sessions to teach core topics in data science and machine learning. These topics include supervised and unsupervised learning, deep learning, model evaluation, and MLOps. You will engage with learners through interactive sessions to ensure a comprehensive understanding of the subject matter. Collaboration with content teams is a crucial aspect of this role. You will work closely with these teams to design labs, conduct code walkthroughs, and develop real-world case studies utilizing Python, scikit-learn, TensorFlow/PyTorch, and cloud-based data science and machine learning services. Your input will contribute to the creation of a dynamic and engaging curriculum. In addition to live instruction and curriculum collaboration, you will provide support to learners by addressing technical queries, debugging code, reviewing notebooks, and offering constructive feedback on assignments and projects. Your mentorship will extend to guiding learners on capstone projects such as image/video models, NLP pipelines, recommendation systems, and deployment pipelines. Continuous improvement is a key focus area of this role. You will analyze learner performance data to refine modules, introduce emerging topics like transformers and generative models, and enhance assessments to ensure an enriching learning experience. To be successful in this position, you should possess a minimum of 3 years of industry or academic experience in data science, machine learning, or artificial intelligence. A Master's degree in Data Science, Machine Learning, AI, or a Computer Science specialization in AI and Data Science/Machine Learning is required. Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch is essential. Familiarity with MLOps tools like Docker, Kubernetes, MLflow, and cloud ML services such as AWS SageMaker, GCP AI Platform, or Azure ML is highly desirable. Strong presentation and mentoring skills in live and small-group settings are crucial for this role. Previous teaching or educational technology experience would be a significant advantage in fulfilling the responsibilities of this position.,

Genpact is a global professional services and solutions firm dedicated to delivering outcomes that shape the future. With over 125,000 employees spread across more than 30 countries, we are characterized by our innate curiosity, entrepreneurial agility, and commitment to creating lasting value for our clients. Our purpose, which is the relentless pursuit of a world that works better for people, drives us to serve and transform leading enterprises, including the Fortune Global 500, by leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist, specializing in Azure Generative AI & Advanced Analytics. In this role, we are seeking a highly skilled and experienced Data Scientist with hands-on expertise in Azure Generative AI, Document Intelligence, Agentic AI, and Advanced Data Pipelines. Your responsibilities will include developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. You will play a crucial role in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines for processing and analyzing large-scale datasets efficiently. - Implement Agentic AI techniques to develop intelligent, autonomous systems that can make decisions and take actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. - Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. - Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Stay up to date with the latest advancements in AI, ML, and data science, and apply best practices to enhance business operations. Qualifications: Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Relevant experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Strong proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is a plus. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. If you are passionate about leveraging your skills and expertise to drive AI-driven insights and automation in a dynamic environment, we invite you to apply for the role of Principal Consultant - Data Scientist at Genpact. Join us in shaping the future and creating lasting value for our clients.,

CSQ326R35 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote. The Impact You Will Have Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What We Look For Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Job Description Generative AI Expert and Lead – band C2 Location: India (Hybrid) Role And Responsibilities SME for clients: Serve as the primary point of contact for clients in Gen AI needs, including senior executives, to understand their needs and deliver tailored generative AI solutions. Project Leadership: Lead multiple generative AI projects, ensuring timely delivery and high-quality outcomes. Define project deliverables, timelines, and methodologies. Team Management: Manage and mentor a team of AI specialists, fostering a collaborative and innovative environment. Solution Design: Architect and implement advanced generative AI models, including GANs, VAEs, and transformer-based models, to solve complex business problems. Thought Leadership: Provide strategic insights and thought leadership in generative AI, driving innovation and best practices within the organization. Technical Expertise: Stay abreast of the latest advancements in generative AI and machine learning, integrating cutting-edge technologies into projects. Qualifications Educational Background: Master's or PhD in computer science, engineering, mathematics, or related fields from top-tier institutions. Experience: 8+ years of experience in AI and machine learning, with a focus on generative AI, deep learning, and NLP. Proven track record in delivering generative AI projects. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, Keras, and cloud platforms (AWS, Azure, GCP). Experience with large-scale data processing and model deployment. Certifications: Relevant certifications in AI and machine learning, such as TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, or similar. (Preferred not mandatory) Leadership: Demonstrable leadership ability, with experience managing and mentoring teams. Problem-Solving: Superior problem-solving skills, with a track record of delivering innovative generative AI solutions. Communication: Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Industry Knowledge: Deep understanding of industry trends and challenges in generative AI and machine learning.

Job Description Generative AI Expert and Lead – band C1 Location: India (Hybrid) Role And Responsibilities SME for clients: Serve as the primary point of contact for clients in Gen AI needs, including senior executives, to understand their needs and deliver tailored generative AI solutions. Project Leadership: Lead multiple generative AI projects, ensuring timely delivery and high-quality outcomes. Define project deliverables, timelines, and methodologies. Team Management: Manage and mentor a team of AI specialists, fostering a collaborative and innovative environment. Solution Design: Architect and implement advanced generative AI models, including GANs, VAEs, and transformer-based models, to solve complex business problems. Thought Leadership: Provide strategic insights and thought leadership in generative AI, driving innovation and best practices within the organization. Technical Expertise: Stay abreast of the latest advancements in generative AI and machine learning, integrating cutting-edge technologies into projects. Qualifications Educational Background: Master's or PhD in computer science, engineering, mathematics, or related fields from top-tier institutions. Experience: 8+ years of experience in AI and machine learning, with a focus on generative AI, deep learning, and NLP. Proven track record in delivering generative AI projects. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, Keras, and cloud platforms (AWS, Azure, GCP). Experience with large-scale data processing and model deployment. Certifications: Relevant certifications in AI and machine learning, such as TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, or similar. (Preferred not mandatory) Leadership: Demonstrable leadership ability, with experience managing and mentoring teams. Problem-Solving: Superior problem-solving skills, with a track record of delivering innovative generative AI solutions. Communication: Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Industry Knowledge: Deep understanding of industry trends and challenges in generative AI and machine learning.

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics 1) Purpose of the role We seek a highly skilled Senior Machine Learning Engineer / Senior Data Scientist to design, develop, and deploy advanced machine learning models and systems. The ideal candidate will have deep expertise in machine learning algorithms, data processing, and model deployment, with a proven track record of delivering scalable AI solutions in production environments. This role requires strong technical leadership, collaboration with cross-functional teams, and a passion for solving complex problems. 2) Key tasks & accountabilities Model Development: Design, develop, and optimize machine learning models for various applications, including but not limited to natural language processing, computer vision, and predictive analytics. Data Pipeline Management: Build and maintain robust data pipelines for preprocessing, feature engineering, and data augmentation to support model training and evaluation. Model Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and performance using tools like Docker, Kubernetes, or cloud platforms preferably Azure. Research and Innovation: Stay updated on the latest advancements in machine learning and AI, incorporating state-of-the-art techniques into projects to improve performance and efficiency. Collaboration: Work closely with data scientists, software engineers, product managers, and other stakeholders to translate business requirements into technical solutions. Performance Optimization: Monitor and optimize model performance, addressing issues like model drift, bias, and scalability challenges. Code Quality: Write clean, maintainable, and well-documented code, adhering to best practices for software development and version control (e.g., Git). Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and innovation within the team. 3) Qualifications, Experience, Skills Level of educational attainment required Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. PhD is a plus. Previous work experience 5+ years of experience in machine learning, data science, or a related field. Proven experience in designing, training, and deploying machine learning models in production. Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Technical Skills required Proficiency in Python and libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning, reinforcement learning, optimization). Experience with big data technologies (e.g., Hadoop, Spark, or similar) and data processing pipelines. Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD for ML workflows. Knowledge of software engineering principles, including object-oriented programming, API development, and microservices architecture. Other Skills required Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Experience with generative AI models or large language models (LLMs). Familiarity with distributed computing or high-performance computing environments. And above all of this, an undying love for beer! We dream big to create future with more cheers

Line of Service Advisory Industry/Sector Not Applicable Specialism SAP Management Level Director Job Description & Summary At PwC, our people in project portfolio management focus on optimising project portfolios to drive strategic business outcomes. These individuals oversee project selection, prioritisation, and resource allocation to facilitate successful project delivery. In project management at PwC, you will oversee and coordinate various projects to facilitate successful delivery within budget and timeline. You will leverage strong organisational and communication skills to effectively manage teams and stakeholders. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description A career within SAP Consulting services, will provide you with the opportunity to help our clients maximize the value of their SAP investment with offerings that address sales, finance, supply chain, engineering, and human capital. We provide comprehensive consulting, system integration and implementation services across multiple SAP applications, products and technologies. Simply put, we focus on delivering business led, technology enabled change for our clients including industry specific enterprise resource planning and the latest in mobile, analytics and cloud solutions *Responsibilities: • Design and architect AI solutions integrated with SAP systems to enhance business processes and decision-making capabilities. • Collaborate with business stakeholders and IT teams to identify opportunities for AI-driven improvements and innovations. • Lead the development and deployment of machine learning models and AI algorithms tailored to SAP applications. • Ensure that AI solutions are scalable, efficient, and aligned with best practices in AI and SAP environments. • Provide technical leadership and guidance to development teams, ensuring high-quality deliverables. • Stay up-to-date with the latest advancements in AI, machine learning, and SAP technologies to ensure the organization remains at the forefront of innovation. • Define and implement data strategies and pipelines to support AI initiatives within SAP ecosystems. • Participate in the design of cloud-based architectures for hosting AI applications, ensuring robust and secure integrations. • Conduct workshops and training sessions to promote AI literacy and best practices within the organization. • Evaluate and recommend new tools and technologies that can enhance the organization's AI and SAP capabilities. *Mandatory skill sets • Proven experience as an AI Architect or similar role, with a focus on SAP environments. • Strong expertise in SAP technologies, including SAP S/4HANA, SAP Cloud Platform, and SAP Leonardo. • Proficiency in AI and machine learning frameworks such as TensorFlow, PyTorch, or similar. • Experience with cloud platforms like AWS, Azure, or Google Cloud, particularly in deploying AI solutions. • Strong programming skills in languages such as Python, Java, or R. • Excellent problem-solving skills and the ability to work effectively in a collaborative environment. • Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders. *Preferred skill sets • Experience with natural language processing (NLP) and computer vision applications within SAP environments. • Familiarity with data visualization tools and techniques. • Experience in agile development methodologies. *Years of experience required • 15-25 Yrs experience *Education Qualification • BE/BTech/MBA/MCA/CAs Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Business Case Development, Business Process Improvement, Change Control Processes, Coaching and Feedback, Communication, Costing, Creativity, Embracing Change, Emotional Regulation, Empathy, Inclusion, Influence, Innovation, Intellectual Curiosity, IT Project Lifecycle, Kanban (Project Management), Learning Agility, Optimism, Plan of Action and Milestones (POA&M), Process Mapping {+ 35 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? 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Job Title: Manager – Senior ML Engineer (Full Stack) About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Job Summary : The Manager – Senior ML Engineer (Full Stack) will be responsible for leading the development and integration of Generative AI (GenAI) technologies, writing code modules, and managing full-stack development projects. The ideal candidate will have a strong background in Python and a proven track record in machine learning and full-stack development. Required Skills Strong proficiency in Python programming. Experience with data analysis and visualization libraries like Pandas, NumPy, Matplotlib, and Seaborn. Proven experience in machine learning and AI development. Experience with Generative AI (GenAI) development and integration. Full-stack development experience, including front-end and back-end technologies. Proficiency in web development frameworks such as Django or Flask. Knowledge of machine learning frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn. Experience with RESTful APIs and web services integration. Familiarity with SQL and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or Redis. Experience with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of DevOps practices and tools like Docker, Kubernetes, Jenkins, and Git. Proficiency in writing unit tests and using debugging tools. Effective communication and interpersonal skills. Ability to work in a fast-paced, dynamic environment. Knowledge of software development best practices and methodologies. Key Responsibilities Lead the development and integration of Generative AI (GenAI) technologies to enhance our product offerings. Write, review, and maintain code modules, ensuring high-quality and efficient code. Oversee full-stack development projects, ensuring seamless integration and optimal performance. Collaborate with cross-functional teams to define project requirements, scope, and deliverables. Manage and mentor a team of developers and engineers, providing guidance and support to achieve project goals. Stay updated with the latest industry trends and technologies to drive innovation within the team. Ensure compliance with best practices in software development, security, and data privacy. Troubleshoot and resolve technical issues in a timely manner. Qualifications Bachelor’s degree in computer science or an Engineering degree Minimum of 7 years of experience in machine learning engineering or a similar role. Demonstrated experience in managing technology projects from inception to completion.

Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As Wholesale Credit Portfolio Analytics Analyst in Wholesale Credit Portfolio Analytics team, you will be responsible for creating valuable risk analytics solutions using advanced analytical frameworks and the firm's big data resources. The focus will be on leveraging data to improve the End-to-End credit risk process across the wholesale portfolio. Additionally, the role involves clearly and concisely communicating findings and insights to stakeholders. As part of Risk Management, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. Job Responsibilities Develop and maintain credit risk rating methodologies, tools, and frameworks to improve risk management processes, including counterparty rating models, exposure management, and credit approvals. Collaborate with internal model review and controls teams to ensure new methodologies are approved and compliant. Use data science techniques to derive insights and communicate findings. Contribute to generating new ideas to address both ad hoc and strategic projects. Present findings and recommendations to senior management through presentations Required Qualifications, Skills And Capabilities Relevant analytics, model/methodology development or credit risk experience Self-starter with creative problem-solving skills. Ideal candidates have experience in quantitative method development and data analysis and are comfortable discovering and communicating ideas through data. Degree in analytical field preferred (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics) Experience with modern analytic and data tools, particularly Python/Anaconda and/or R, Tensorflow and/or Keras/PyTorch, Spark, or SQL. Excellent problem solving, communications, and teamwork skills. Financial service background preferred, but not required. Desire to use modern technologies as a disruptive influence within Banking ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

We are seeking highly skilled and motivated AI Engineers with Strong Python experience and familiar with prompt engineering and LLM integrations to join our Innovations Team. The team is responsible for exploring emerging technologies, building proof-of-concept (PoC) applications, and delivering cutting-edge AI/ML solutions that drive strategic transformation and operational efficiency. About the Role As a core member of the Innovations Team, you will work on AI-powered products, rapid prototyping, and intelligent automation initiatives across domains such as mortgage tech, document intelligence, and generative AI. Responsibilities Design, develop, and deploy scalable AI/ML solutions and prototypes. Build data pipelines, clean datasets, and engineer features for training models. Apply deep learning, NLP, and classical ML techniques. Integrate AI models into backend services using Python (e.g., FastAPI, Flask). Collaborate with cross-functional teams (e.g., UI/UX, DevOps, product managers). Evaluate and experiment with emerging open-source models (e.g., LLaMA, Mistral, GPT). Stay current with advancements in AI/ML and suggest opportunities for innovation. Qualifications Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field. Certifications in AI/ML or cloud platforms (Azure ML, TensorFlow Developer, etc.) are a plus. Required Skills Technical Skills: Programming Languages: Python (strong proficiency), experience with NumPy, Pandas, Scikit-learn. AI/ML Frameworks: TensorFlow, PyTorch, HuggingFace Transformers, OpenCV (nice to have). NLP & LLMs: Experience with language models, embeddings, fine-tuning, and vector search. Prompt Engineering: Experience designing and optimizing prompts for LLMs (e.g., GPT, Claude, LLaMA) for various tasks such as summarization, Q&A, document extraction, and multi-agent orchestration. Backend Development: FastAPI or Flask for model deployment and REST APIs. Data Handling: Experience in data preprocessing, feature engineering, and handling large datasets. Version Control: Git and GitHub. Database Experience: SQL and NoSQL databases; vector DBs like FAISS, ChromaDB, or Qdrant preferred. Nice to Have (Optional): Experience with Docker, Kubernetes, or cloud environments (Azure, AWS). Familiarity with LangChain, LlamaIndex, or multi-agent frameworks (CrewAI, AutoGen). Soft Skills: Strong problem-solving and analytical thinking. Eagerness to experiment and explore new technologies. Excellent communication and teamwork skills. Ability to work independently in a fast-paced, dynamic environment. Innovation mindset with a focus on rapid prototyping and proof-of-concepts. Experience Level: 3–7 years, only Work from Office (Chennai location)

What You'll Do Avalara is an AI-first company. We expect every engineer, manager, and leader to actively leverage AI to enhance productivity, quality, innovation, and customer value. AI is embedded in our workflows, decision-making, and products — and success at Avalara requires embracing AI as an essential capability, not an optional tool. We are seeking an experienced and experienced AI & Machine Learning Technical Manager to lead our dynamic team in developing cutting-edge AI & ML solutions. This role is perfect for someone passionate about applying AI and ML, promote innovation, and create impactful products. You will be responsible for our AI systems (conversational agents, tax code classification for products and services, document intelligence, etc.) and how we apply them at Avalara to simplify and scale tax compliance across our entire portfolio of products. As an important part of our leadership team, you will shape the future of our AI & ML projects, manage a talented team of AI professionals, and collaborate with teams to implement projects. We offer the chance to work on pioneering AI technologies and mentor a team of experts, and contribute to the strategic direction of our AI & ML endeavors. This role will report to Sr Director of AI & ML. What Your Responsibilities Will Be Lead and manage a team of AI&ML engineers and data scientists, overseeing project lifecycles from conception to deployment, ensuring timely delivery. Develop team members, providing guidance on technical challenges, career development, and professional growth opportunities. Stay up to date with the latest AI&ML technologies and methodologies, incorporating new approaches into our projects to maintain competitive advantage. Develop our AI&ML strategy, aligning with our objectives, and ensuring the team's projects support this vision. Collaborate with teams, including product management, engineering, and design, to define project requirements, set priorities, and allocate resources effectively. Foster a culture of innovation, encouraging experimentation and learning, and leading by example in adopting a hands-on approach to problem-solving. Ensure implementing best practices in project management, software development, and quality assurance to optimize team performance and productivity. Manage stakeholder communications, providing regular updates on project status, important milestones, and any challenges or risks, ensuring alignment and support across the organization. What You’ll Need To Be Successful What You'll Need to be Successful Specific Qualifications Expertise in AI technologies and methodologies, with a portfolio of projects demonstrating your ability to apply these in solving complex problems. Experience building and deploying to production APIs powered by AI & Machine Learning systems. Proficiency in programming languages relevant to AI & ML, such as Python, R, Java, Scala, C++ and familiarity with AI & ML frameworks and libraries (e.g., PyTorch, TensorFlow, and Scikit-learn). Experience with cloud computing platforms (AWS, Azure, Google Cloud) and understanding of how to use these for scalable, secure, reliable distributed systems with complex workflows relying on AI & ML solutions. Background in data engineering and familiarity with database technologies, as well as, data processing / ETL pipelines and visualization tools. : General Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, or Machine Learning. 9 years of experience in AI & ML with at least 6 years in a management position, overseeing technical teams. Translate complex technical concepts and challenges into clear strategic plans and applicable solutions. People management skills, with experience mentoring and developing teams. Excellent project management skills, with experience in agile methodologies How We’ll Take Care Of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. What You Need To Know About Avalara We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too. We’re An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.

What You'll Do Avalara is an AI-first company. We expect every employee to actively leverage AI to enhance productivity, quality, innovation, and customer value. AI is embedded in our workflows and products — and success at Avalara requires embracing AI as an essential capability, not an optional tool. As an AI/ML Technical Product Owner at Avalara, you will lead the development and integration of cutting-edge AI and Machine Learning solutions into our suite of tax compliance products. You’ll collaborate closely with cross-functional teams, including Product managers, ML Engineers, Software Development Engineers, Content Researchers and designers, to conceptualize, build, and deploy models that drive significant business impact. Your role will involve translating complex technical concepts into strategic product initiatives, ensuring the successful execution of these initiatives from brainstorming to deployment. You will report to Director of Engineering. What Your Responsibilities Will Be Product strategy and vision Define and drive the vision, strategy, and roadmap for AI & ML products, aligning them with Avalara’s overall business goals and customer needs. Identify new AI & ML opportunities by staying updated on industry trends, competitive landscape, and emerging technologies. Communicate product vision and strategy to stakeholders, including executives, engineering teams, and customers.Cross-functional leadership Collaborate with data scientists, engineers, and designers to define, prioritize, and execute AI/ML product initiatives. Work closely with engineering teams to translate product requirements into technical specifications and ensure delivery of high-quality features.Product development and execution Oversee the end-to-end product development lifecycle, from ideation and prototyping to testing, deployment, and iteration. Manage the backlog, prioritizing features and improvements based on customer feedback, market research, and business impact. Ensure the AI & ML models are properly integrated into products, focusing on scalability, performance, continuous improvementData-driven decision making Use data to inform product decisions, leveraging metrics, user feedback, and A/B testing to guide development priorities. Monitor the performance of AI & ML models and products post-launch, using analytics to identify areas for improvement and optimization.Stakeholder communication and reporting Present product updates, milestones, and performance metrics to executive leadership and other stakeholders. Facilitate regular meetings with cross-functional teams to ensure alignment and address any challenges or roadblocks. Prepare detailed reports on the progress of AI & ML initiatives, including successes, challenges, and next steps.Ethical AI considerations Ensure that AI & ML products adhere to ethical guidelines and industry best practices, including fairness, transparency, and data privacy. Advocate for responsible AI practices within the organization, ensuring that models and data usage align with legal and ethical standards.Customer and market insights Engage with customers, users, and industry experts to gather insights on market needs and pain points. Use these insights to inform product features and improvements, ensuring that the AI & ML products deliver real value to end users. What You’ll Need To Be Successful Educational Background: Bachelor's degree in Artificial Intelligence, Machine Learning, Data Science, or Computer Science. Advanced degrees or certifications in AI & ML Product Management Experience: Experience of managing AI/ML products from conception to launch for at least 8 years, including experience with roadmaps, prioritization, and stakeholder management. Envisage new products from the perspective of the end user in B2B and B2C contexts. Technical Skills: Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow), programming languages (e.g., Python, R, C++), and cloud platforms (e.g., AWS, GCP, Azure). Familiarity with data engineering pipelines, model deployment, and MLOps. This is a remote position. How We’ll Take Care Of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. What You Need To Know About Avalara We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too. We’re An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.

Principal Data Scientist Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead/Architect is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. Key Responsibilities Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.

Job Description - AI Senior Developer Shift timings – 1:30p.m to 10:30 p.m Work mode – Hybrid Location – Chennai Exp - 6+years Responsibilities As an AI and Machine Learning Consultant, you will: Implement AI solutions for accelerators, IP solutions or recommendation engines using Vertex AI or Google Cloud AI Platform. Conduct security assessments of AI-powered solutions based on policies and guidance Collaborate with stakeholders to integrate AI into existing workflows. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and cloud-based AI platforms. Familiar with building solutions using Large Language Models (LLMs) particularly using Vertex AI Knowledge of AI ethics and responsible AI practices to ensure fair and unbiased model outcomes. Experience with cloud-native analytics platforms like Google BigQuery. Strong programming skills in Python for AI, data processing tasks and UI. Excellent problem-solving skills and the ability to troubleshoot complex technical issues. Effective communication skills, written and oral. Advanced understanding of data engineering principles, including data pipeline creation Proficiency in using version control systems like Git for collaborative code development. Familiarity with Agile methodologies and experience working in Agile teams. Ability to perform exploratory data analysis to uncover insights and inform model development. Experience with integrating and working alongside DevOps teams to ensure smooth workflow transitions.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Role OverviewThe AI Scientist is a technical role responsible for the development of advanced AI components, models and systems. With 4+ years of experience in artificial intelligence and machine learning, this role is focused on hands-on research, solution prototyping, development of enterprise-grade implementation across ML, NLP, Deep Learning, Generative AI, and multi-modal based models applications. The individual is expected to contribute to execute on AI solutions initiatives..Responsibilities1. Generative & Agentic AI· Develop GenAI models/solutions for text generation and content automation. Experience of working at any of the latest AI stacks like Nvidia- Nemo, NIM Microservices, Pytorch, Tensorflow etc.2. Large Language Models (LLMs) Fine-tune and operationalize LLMs (e.g., GPT, Llama, BERT) for NLP tasks using Nemo, NIM, UnSloth etc frameworks· Develop solution based on latest coding standards like Pep-83. Deep Learning and NLP components· Experience in developing NLP components like QnA, chatbots, Summarization etc. Experience in developing deep learning components like Image/Video/Audio processing/classification, OCR based components like Extraction etc.Skills1. Experience in any one Python/Java/R/.Net software languages.2. Experience in any three - Pytorch, TensorFlow, Nemo/NIM, Unsloth, Agentic AI – Lang graph, MS AI Foundry, Hugging Face, Chroma DB/FAISS etc.3. Good to have experience in MLOps and AI deployment infrastructure.4. Good to have experience in AWS/Azure/Google Cloud Services(anyone).Qualifications & Educational Requirements1. Bachelors or master’s in computer science, Artificial Intelligence, or a related field2. 4+ years of experience in AI/ML, NLP, Deep Learning, Gen AI, Model fine tuning, Reinforcement learning, etc.3. Experience in developing AI-driven solutions, with a understanding of the entire AI model lifecycle, from design to deployment and maintenance.4. Desired good communication skills, desire to learn and innovate new solutions in AI domain. Qualifications B. Tech. + M.B.A.

Assoicate AIML Engineer– Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. The Brief In this role as an Associate AIML Engineer on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyse data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modelling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions. What I'll be doing – your accountabilities? Build and maintain machine learning models for various applications, such as natural language processing, computer vision, and recommendation systems Perform exploratory data analysis (EDA) to identify patterns and trends in data Clean, preprocess, perform hyperparameter tuning and analyze large datasets to prepare them for AI/ML model training Build, test, and optimize machine learning models and experiment with algorithms and frameworks to improve model performance Use programming languages, machine learning frameworks and libraries, algorithms, data structures, statistics and databases to optimize and fine-tune machine learning models to ensure scalability and efficiency Learn to define user requirements and align solutions with business needs Work on AI/ML engineering projects, perform feature engineering and collaborate with teams to understand business problems Learn best practices in data / AI/ML engineering and performance optimization Contribute to research papers and technical documentation Contribute to project documentation and maintain data quality standards Foundational Skills Understands Programming skills beyond the fundamentals and can demonstrate this skill in most situations without guidance. Understands the below skills beyond the fundamentals and can demonstrate in most situations without guidance AI & Machine Learning Data Analysis Machine Learning Pipelines Model Deployment Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance for the following skills: Deep Learning Statistical Analysis Data Engineering Big Data Technologies Natural Language Processing (NPL) Data Architecture Data Processing Frameworks Proficiency in Python programming. Proficiency in Python-based statistical analysis and data visualization tool While having limited understanding of Technical Documentation but are focused on growing this skill Qualifications & Requirements BSc/MSc/PhD in computer science, data science or related discipline with 5+ years of industry experience building cloud-based ML solutions for production at scale, including solution architecture and solution design experience Good problem solving skills, for both technical and non-technical domains Good broad understanding of ML and statistics covering standard ML for regression and classification, forecasting and time-series modeling, deep learning 3+ years of hands-on experience building ML solutions in Python, incl knowledge of common python data science libraries (e.g. scikit-learn, PyTorch, etc) Hands-on experience building end-to-end data products based on AI/ML technologies Some experience with scenario simulations. Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD Team player, eager to collaborate and good collaborator Preferred Experiences In addition to basic qualifications, would be great if you have… Hands-on experience with common OR solvers such as Gurobi Experience with a common dashboarding technology (we use PowerBI) or web-based frontend such as Dash, Streamlit, etc. Experience working in cross-functional product engineering teams following agile development methodologies (scrum/Kanban/…) Experience with Spark and distributed computing Strong hands-on experience with MLOps solutions, including open-source solutions. Experience with cloud-based orchestration technologies, e.g. Airflow, KubeFlow, etc Experience with containerization (Kubernetes & Docker) As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

About Biz-Tech Analytics At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure. We are looking for Junior Machine Learning Engineers (Computer Vision) who are eager to work on challenging real-world problems, build scalable AI pipelines, and grow into future technical leaders. Apply here: https://forms.gle/oiC1DfbaWVXuv8t18 We will only be looking at responses on the Google form. Responsibilities As a Junior ML Engineer, you’ll work alongside senior engineers and contribute to the design, development, and deployment of Computer Vision models that power AI automation solutions. Assist in developing and deploying Computer Vision models for applications like object detection, tracking, segmentation, and visual inspections. Work on image and video data pipelines, handling data preprocessing, augmentation, and annotation workflows. Support in model training, evaluation, and optimization, ensuring models meet performance benchmarks for accuracy and speed. Collaborate with senior engineers on model deployment to edge/cloud environments. Contribute to researching and implementing new Computer Vision techniques (ViTs, SAM, Grounding DINO, etc.). Participate in code reviews, internal discussions, and brainstorming sessions, learning best practices for production-grade AI systems. Take ownership of smaller modules and tasks within larger AI solution projects, ensuring timely and quality delivery. Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field from a top-tier institute. 0–2 years of experience (internships or projects) working on Machine Learning or Computer Vision. Strong programming skills in Python. Hands-on exposure to PyTorch or TensorFlow, OpenCV, and relevant CV libraries through internships, academic projects, or competitions. Solid understanding of Computer Vision fundamentals: object detection, image segmentation, tracking, and image processing. Familiarity with data preprocessing, augmentation, and basic model evaluation techniques. A problem-solving mindset with a strong willingness to learn and take ownership of tasks. Ability to work in a fast-paced, collaborative environment Good communication and documentation skills Good to have Experience with vision-based automation in the manufacturing industry. Exposure to Generative AI workflows. Experience with Large Language Models (LLMs) and building multi-modal AI pipelines. Understanding of AI governance, data compliance, and security protocols. Apply here: https://forms.gle/oiC1DfbaWVXuv8t18 Why Biz-Tech Analytics Work on challenging AI problems that demand innovation, not routine solutions. Lead end-to-end AI projects with full ownership. Collaborate with a small, high-performing team where your contributions are visible and impactful. Flexible, entrepreneurial work culture with opportunities for leadership and growth.

Location: On-site Only (Mohali) Experience Required: 4 - 5 Years Education: Bachelor’s Degree in Computer Science, Software Engineering, AI/ML, or related field Job Overview: We are seeking an experienced Python AI Developer to join our dynamic team working on a ride-booking mobile application. You will play a critical role in developing backend APIs, implementing AI models to detect human activity and behavior, and contributing to scalable system architecture. Primary Responsibilities: Design, develop, and maintain scalable Python APIs for a ride-booking app using FastAPI or Flask. Integrate AI/ML models that detect human activity patterns, emotional behavior, and real-time user response analysis. Experience with Natural Language Processing (NLP) Build and maintain services that handle ride matching, fare estimation, real-time tracking, user analytics, and driver behavior monitoring. Work closely with front-end/mobile developers, product managers, and DevOps teams to create seamless end-to-end functionality. Analyze customer and driver data to improve matching algorithms, reduce wait times, and enhance the ride experience. Implement and optimize machine learning algorithms using Python libraries like TensorFlow, PyTorch, scikit-learn, etc. Develop pipelines to handle data ingestion, cleaning, labeling, and model training for real-time analysis. Ensure robust database integration using PostgreSQL, MongoDB, or similar DBs. Write unit and integration tests to ensure code quality and maintainability. Key Skills & Requirements : 4-5 years of backend development experience using Python. Strong experience with FastAPI or Flask. Solid understanding of data structures, algorithms, and RESTful APIs. Experience with SQL & NoSQL databases (PostgreSQL, MongoDB, etc.). Experience building and deploying AI/ML models for human activity recognition (HAR) or sentiment/emotion analysis. Hands-on experience with OpenCV, TensorFlow, PyTorch, scikit-learn, or similar ML/DL frameworks. Familiar with CI/CD pipelines, Docker, Kubernetes, and version control (Git). Strong grasp of Object-Oriented Programming (OOP) and software design principles. Strong debugging and optimization skills. Bonus Skills: Experience in emotion recognition, facial expression analysis, gaze tracking, or gesture detection. Experience integrating third-party AI/ML APIs (e.g., OpenAI, AWS Rekognition, Azure AI). Familiarity with Kafka, RabbitMQ, or similar message brokers. Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with mobile app infrastructure (Android/iOS) and ride-sharing architecture. Experience in building scalable microservices architecture. Why Join Us? Build a next-gen ride-booking platform to compete with global leaders. Work with a passionate, fast-paced startup team focused on innovation. Use AI to bring real impact to how people move, interact, and experience services. Opportunities to lead AI initiatives and grow your career in a product-first company. Apply Now If you’re excited about building future-ready ride solutions and passionate about AI-driven human behavior analysis, we’d love to hear from you!

About the Role: We are looking for an experienced and highly skilled Software Development Engineer (SDE) with 4-5 years of experience who will work along with Genworx team. This role involves contributing to the development of cutting-edge generative AI applications and systems, integrating advanced machine learning models, and ensuring high standards in design, implementation, and deployment. Key Responsibilities: Problem Solving and Design: Propose and implement scalable, efficient solutions tailored to real-world use cases Software Development: Develop both front-end and back-end components (full stack) for generative AI applications. Debug and resolve systemic issues in a timely manner. Generative AI Development: Integrate pre-trained models, including large language models (LLMs). Optimize AI solutions for performance, scalability, and reliability. Leverage generative AI frameworks and technologies CI/CD and DevOps Practices: Build and maintain CI/CD pipelines for seamless deployment of AI-driven applications. Implement DevOps best practices to ensure efficient and secure operations. Operational Excellence: Maintain high standards of performance, security, and scalability in design and implementation. Document technical workflows and ensure adherence to operational guidelines. Team Collaboration and Mentorship: Work closely with cross-functional teams, including product managers, ML engineers, and designers, to deliver high-quality solutions. Participate in code reviews, brainstorming sessions, and team discussions. Requirements Required Skills and Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. Technical Skills: Proficiency in front-end technologies: HTML, CSS, JavaScript (React, Angular, or Vue.js). Proficiency in back-end technologies: Node.js, Python, or Java. Strong understanding of databases: SQL (MySQL/PostgreSQL) and NoSQL (MongoDB). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD, CircleCI). Familiarity with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Attributes: Strong problem-solving and system design skills. Ability to mentor team members and collaborate effectively in a team environment. Excellent communication skills for explaining technical concepts. Cloud / Infrastructure: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of containerization tools (Docker, Kubernates) and infrastructure as code (Terraform, CloudFormation). Benefits What We Offer: A vibrant and innovative work environment focused on generative AI solutions. Competitive salary and benefits package tailored for mid-level engineers. Opportunities to work on state-of-the-art AI projects with industry experts. A culture that values creativity, collaboration, and continuous learning

About Apna: Apna is India's largest jobs and professional networking platform for frontline workers. We're building the infrastructure to power hiring, skill-building, and career growth for 300 million+ working Indians. As we expand our AI-first platform across voice, text, and multimodal workflows — we're looking for a bold and curious AI Data Scientist who wants to shape the future of applied Gen AI. Requirement: 1 Location: Bengaluru (Work from Office - Domlur) Team: AI & Machine Learning Experience: 3-5 years Requirements What You'll do: Fine-tune and deploy LLMs, TTS, STT, and voice models for use in real-time conversations with millions of users Convert unstructured, messy real-world audio/text data into clean, high-quality datasets for training and evaluation Build inference pipelines optimized for low-latency, high-accuracy voice agents and multimodal interfaces Work closely with infra and product teams to ship production-grade GenAI models with observability, fallback, and monitoring Experiment with GANs, diffusion models, audio generation, and multimodal fusion to power next-gen AI agents Own the full model lifecycle — from research and training to deployment, testing, and iteration. What we're Looking for: 3-5 years of hands-on experience in AI / ML roles, ideally in startups or product-driven teams. Strong grasp of LLM fine-tuning, instruction tuning, or pretraining techniques Familiarity with TTS/STT systems, Whisper, Tacotron, VITS, or commercial tools like ElevenLabs Experience with multimodal architectures, generative audio, GANs, or diffusion-based models Ability to work with real-world messy data, design training pipelines, and debug model failure modes Fluency in frameworks like PyTorch, HuggingFace, TensorFlow, and ecosystem tools (ONNX, Triton, LangChain, etc.) Passion for building high-impact AI features that ship to real customers Benefits Why Join Us: Work at the cutting edge of LLMs, voice AI, and generative models — and ship real products, not just prototypes Directly impact millions of users by powering AI agents that help with hiring, learning, and career growth Collaborate with a world-class team of AI engineers, researchers, and product minds who move fast and ship boldly Freedom to explore: Own experiments, propose architecture, or contribute to foundational model training Startup speed, enterprise scale — best of both worlds. Rapid iteration and direct customer feedback Multilingual India - first problems that push the boundaries of speech, reasoning, and personalization

Description We are seeking a highly talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region. In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud etc. Key job responsibilities Invent, implement, and deploy scalable machine learning algorithms and models to solve complex, real-world problems for our MENA customers. Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation. Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics. Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, augmenting abuse prevention systems etc. Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact. Contribute to the broader scientific community by publishing your work at top-tier conferences and journals. A day in the life Diving deep in to ambiguous and complex business problems and translating them to ML problem statements. Applying relevant science solutions for the ML problems. Staying abreast with evolving science landscape and applying the state-of-the-art. About The Team MENA tech is spread across Jordan, UAE, India and Seattle, building amazing solutions for customers in the region. We deploy in MENA first but build for the world Basic Qualifications Experience building machine learning models or developing algorithms for business application Bachelors or PhD or Master's degree in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. Expertise in areas such as natural language processing, computer vision, deep learning, and other cutting-edge ML techniques. Strong programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet. Excellent communication and collaboration skills to effectively work with cross-functional teams. Preferred Qualifications Proficient in any one of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A3029465