7642 Tensorflow Jobs - Page 11

We're Hiring: Sr. Data Scientist /AI Solution Architect Location: Pune (Hybrid) Experience: 5–7 Years Notice Period: Immediate Joiners Only We’re looking for an experienced Senior Data Scientist/ AI Solution Architect to join our growing AI & Data team. This is a hybrid role based in Pune, where you will be responsible for building scalable AI/ML solutions, leading LLMOps initiatives, and driving innovations using Generative AI, Azure AI services, and containerised deployments. Key Responsibilities: Design and implement end-to-end AI/ML solutions using Azure AIDevelop and manage LLMOps pipelines for large language modelsBuild containerized solutions using Docker and KubernetesFine-tune and deploy Generative AI models for NLP, vision, and conversation use casesCollaborate with cross-functional teams including data engineers and product managersDrive best practices in model monitoring, versioning, and Responsible AIDocument technical architecture and decision-making frameworks. Required Skills & Qualifications 5–7 years of hands-on experience in AI/ML or Data Science Strong experience with Azure AI Services (ML Studio, OpenAI, AI Foundry – must) Proficiency in LLMs, prompt engineering, and fine-tuning techniques Strong Python programming with ML libraries (TensorFlow, PyTorch, Transformers) Experience in Docker & Kubernetes Understanding of LLMOps/MLOps pipelines Nice to Have Willingness to work with .NET for legacy integrations Experience with Databricks Familiarity with Azure DevOps / CI-CD pipelines Previous work in a startup or product-based environment Interested candidates can apply now! Job Types: Full-time, Contractual / Temporary Contract length: 12 months Pay: ₹65,000.00 - ₹75,000.00 per month Schedule: Day shift Monday to Friday Experience: Python: 5 years (Preferred) Azure: 5 years (Preferred) senior Data Scientist : 6 years (Preferred) Location: Pune, Maharashtra (Required) Work Location: In person

As a Manager of Engineering (AI/ML) at our company, you will lead a team of ML engineers, data scientists, and software engineers to develop cutting-edge AI/ML solutions that drive business operations and innovation. Your role will involve a combination of technical leadership, strategic thinking, and operational skills to ensure the successful development and implementation of AI/ML models and systems. You will be responsible for leading end-to-end design, development, and deployment of scalable AI/ML solutions, ensuring high performance, reliability, and maintainability. Additionally, you will coach the team on AI/ML projects, resolve technical challenges, and establish robust MLOps practices for model development, deployment, monitoring, and retraining. Leveraging Gen AI techstack, including Langchain, LLM, and RAG, you will build solutions that address business challenges and incorporate advanced technologies into the company's applications. To excel in this role, you should have 10+ years of overall experience, including 5+ years of leading engineering teams. A Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field is required, with proficiency in ML packages like Tensorflow, PyTorch, scikit-learn, and Spark ML. You must possess a deep understanding of AI/ML algorithms, frameworks, and technologies, along with experience in building and deploying AI/ML models at scale. Furthermore, a strong knowledge of software engineering best practices, including agile development methodologies, code review processes, and CI/CD pipelines, is essential. Familiarity with Generative AI, RAG techniques, NLP concepts, and programming languages such as Python is also required. Experience in a distributed, large-scale, and fast-growing environment is preferred. If you have experience in LangChain, it would be considered a bonus. Please note that visa sponsorship is not available for this position. We are committed to fostering a diverse, welcoming, and inclusive environment where all individuals are encouraged to bring their authentic selves to work. Our recruitment process ensures fair consideration of all applicants, including those with arrest and conviction records, in compliance with applicable laws. At our company, we believe in empowering our employees to achieve success through a flexible workforce model, offering options for fully office-based, fully remote, or hybrid work environments. We value the unique backgrounds and abilities of our team members, recognizing the diverse experiences that contribute to our collective success. If you require any accommodations during the application process, please contact resume@newrelic.com. To learn more about our Applicant Privacy Notice, please visit https://newrelic.com/termsandconditions/applicant-privacy-policy.,

You are seeking a Full Stack Developer AI/ML with 0-1 year of experience to join an innovative team in Jodhpur. The ideal candidate should possess a solid understanding of machine learning models, backend development, and web application deployment. Your responsibilities will include designing, developing, and deploying AI/ML models for real-world applications, working with Python, TensorFlow, PyTorch, Scikit-Learn, and OpenCV for machine learning tasks, and developing RESTful APIs to integrate AI models with web applications. Additionally, you will be responsible for implementing and maintaining backend services using Node.js, FastAPI, or Flask, building and enhancing frontend UIs with React.js, Vue.js, or Angular, and managing databases (SQL & NoSQL like PostgreSQL, MongoDB, Firebase) for storing model outputs. Furthermore, you will optimize AI models for performance, scalability, and deployment using Docker, Kubernetes, or cloud services (AWS, GCP, Azure), work on data preprocessing, feature engineering, and model evaluation, and deploy models using MLOps pipelines (CI/CD, model versioning, monitoring). Collaboration with cross-functional teams for AI integration into business applications is also a part of your role. The required skills and qualifications for this position include 0-1 year of experience in AI/ML and full-stack development, strong proficiency in Python, TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy, experience with backend development using Node.js, FastAPI, Flask, or Django, knowledge of frontend frameworks like React.js, Vue.js, or Angular, familiarity with database management (SQL - PostgreSQL, MySQL | NoSQL - MongoDB, Firebase), understanding of machine learning workflows, model training, and deployment, experience with cloud services (AWS SageMaker, Google AI, Azure ML), knowledge of Docker, Kubernetes, and CI/CD pipelines for ML models, basic understanding of Natural Language Processing (NLP), Computer Vision (CV), and Deep Learning, familiarity with data visualization tools such as Matplotlib, Seaborn, Plotly, D3.js, strong problem-solving and analytical skills, good communication, and teamwork skills. Preferred qualifications include experience with LLMs (GPT, BERT, Llama) and AI APIs (OpenAI, Hugging Face), knowledge of MLOps, model monitoring, and retraining pipelines, understanding of Reinforcement Learning (RL) and Generative AI, familiarity with Edge AI and IoT integrations, and previous internship or project experience in AI/ML applications. As part of the benefits, you will receive a competitive salary package, hands-on experience with AI-driven projects, mentorship from experienced AI engineers, a flexible work environment (Remote/Hybrid), and career growth and learning opportunities in AI/ML.,

As an AI/ML Engineer (Python) at Telepathy Infotech, you will be responsible for building and deploying machine learning and GenAI applications in real-world scenarios. You will be part of a passionate team of technologists working on innovative digital solutions for clients across industries. We value continuous learning, ownership, and collaboration in our work culture. To excel in this role, you should have strong Python skills and experience with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. Experience in GenAI development using APIs such as Google Gemini, Hugging Face, Grok, etc. is highly desirable. A solid understanding of ML, DL, NLP, and LLM concepts is essential along with hands-on experience in Docker, Kubernetes, and CI/CD pipeline creation. Familiarity with Streamlit, Flask, FastAPI, MySQL/PostgreSQL, AWS services (EC2, Lambda, RDS, S3, API Gateway), LangGraph, serverless architectures, and vector databases like FAISS, Pinecone, will be advantageous. Proficiency in version control using Git is also required. Ideally, you should have a B.Tech/M.Tech/MCA degree in Computer Science, Data Science, AI, or a related field with at least 1-5 years of relevant experience or a strong project/internship background in AI/ML. Strong communication skills, problem-solving abilities, self-motivation, and a willingness to learn emerging technologies are key qualities we are looking for in candidates. Working at Telepathy Infotech will provide you with the opportunity to contribute to impactful AI/ML and GenAI solutions while collaborating in a tech-driven and agile work environment. You will have the chance to grow your career in one of India's fastest-growing tech companies with a transparent and supportive company culture. To apply for this position, please send your CV to hr@telepathyinfotech.com or contact us at +91-8890559306 for any queries. Join us on our journey of innovation and growth in the field of AI and ML at Telepathy Infotech.,

You will play a vital role as an AI/ML Engineer in a pioneering PropTech startup based in Dubai. The project involves developing a cutting-edge digital real estate platform that integrates AI/ML, data analytics, Web3/blockchain, and conversational AI for long-term sales and short-term stays. Your primary responsibility will be to operationalize machine learning models ensuring they are scalable and reliable for our innovative features. Your tasks will include designing and maintaining scalable infrastructure for training and deploying ML models, creating low-latency APIs for production use, managing data pipelines, and overseeing the MLOps lifecycle. Collaboration with data scientists, backend developers, and product managers will be essential to ensure efficient delivery of AI-driven features. Key Responsibilities: - Design, build, and maintain scalable infrastructure for training and deploying machine learning models. - Operationalize ML models such as the "TruValue UAE" AVM and property recommendation engine by creating robust APIs. - Develop and manage data pipelines to provide clean and reliable data for training and real-time inference. - Implement and manage the MLOps lifecycle including CI/CD for models, monitoring for model drift, and automated retraining. - Optimize the performance of ML models for speed and cost-efficiency in a cloud environment. - Collaborate with backend engineers to integrate ML services with the core platform architecture. - Work with data scientists to enhance model efficacy and feasibility. - Build the technical backend for the AI-powered chatbot, integrating it with NLP services and platform data. Required Skills and Experience: - 3-5+ years of experience in Software Engineering, Machine Learning Engineering, or related roles. - Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. - Strong proficiency in Python and software engineering fundamentals. - Experience deploying ML models in a production environment on major cloud platforms. - Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn. - Experience with data pipelines using tools such as Apache Airflow, Kubeflow Pipelines, or cloud-native solutions. - Collaboration with cross-functional teams to integrate AI solutions into products. - Experience with cloud platforms and containerization (AWS, Azure, GCP, Docker, Kubernetes). Preferred Qualifications: - Experience in PropTech or FinTech sectors. - Direct experience with MLOps tools and platforms (MLflow, Kubeflow, AWS SageMaker, Google AI Platform). - Familiarity with big data technologies (Spark, BigQuery, Redshift). - Experience in building real-time machine learning inference systems. - Strong understanding of microservices architecture. - Experience working collaboratively with data scientists.,

You are a highly experienced Senior Python & AI Engineer who will lead the development of innovative AI/ML solutions. Your strong background in Python programming, deep learning, machine learning, and proven leadership skills will drive the team towards delivering high-quality AI systems. You will architect solutions, define technical strategies, mentor team members, and ensure timely project deliveries. In the technical realm, you will be responsible for designing and implementing scalable AI/ML systems and backend services using Python. Your role includes overseeing the development of machine learning pipelines, APIs, and model deployment workflows. Reviewing code, establishing best practices, and maintaining technical quality across the team will be key aspects of your responsibilities. As a team leader, you will guide data scientists, ML engineers, and Python developers, providing mentorship, coaching, and conducting performance evaluations. You will facilitate agile practices such as sprint planning, daily stand-ups, and retrospectives. Collaboration with cross-functional teams, including product, QA, DevOps, and UI/UX, will be essential for timely feature deliveries. In AI/ML development, you will develop and optimize models for NLP, computer vision, or structured data analysis based on project requirements. Implementing model monitoring, drift detection, and retraining strategies will contribute to the success of AI initiatives. You will work closely with product managers to translate business needs into technical solutions and ensure the end-to-end delivery of features meeting performance and reliability standards. Your technical skills should include over 5 years of Python experience, 2+ years in AI/ML projects, a deep understanding of ML/DL concepts, and proficiency in frameworks like PyTorch, TensorFlow, and scikit-learn. Experience with deployment tools, cloud platforms, and CI/CD pipelines is required. Leadership qualities such as planning, estimation, and effective communication are also crucial, with at least 3 years of experience leading engineering or AI teams. Preferred qualifications include a Masters or PhD in relevant fields, exposure to MLOps practices, and familiarity with advanced AI technologies. Prior experience in fast-paced startup environments is a plus. In return, you will have the opportunity to spearhead cutting-edge AI initiatives, face diverse challenges, enjoy autonomy, and receive competitive compensation with performance-based incentives.,

A career at HARMAN Automotive offers you the opportunity to be part of a global, multi-disciplinary team dedicated to leveraging the power of technology to shape the future. As a member of our team, you will engineer audio systems and integrated technology platforms that enhance the driving experience, combining innovation, in-depth research, collaboration, and engineering excellence to advance in-vehicle infotainment, safety, efficiency, and enjoyment. About the Role: We are looking for a skilled Machine Learning Engineer with 3 to 6 years of experience to join our team, focusing on AIOps and GenAI projects. In this role, you will be instrumental in developing cutting-edge solutions that utilize machine learning to drive automation and intelligence across our systems. What You Will Do: - Design, develop, and implement machine learning models and algorithms for AIOps initiatives. - Collaborate with cross-functional teams to gather requirements and align with business objectives. - Research and experiment with new ML techniques, frameworks, and tools to enhance system efficiency and performance. - Contribute to the user by developing algorithms and frameworks that enable generalized AI capabilities within our products. - Architect scalable and reliable ML pipelines to handle large volumes of data, ensuring robustness and accuracy. What You Need To Be Successful: Technical Skills: - Proven experience in developing and deploying machine learning models in a production environment. - Proficiency in programming languages such as Python, and familiarity with libraries like TensorFlow, PyTorch, or scikit-learn. - Strong understanding of statistical analysis, data structures, and algorithms. Cloud and Automation Experience: - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and serverless technologies. - Knowledge of automation tools and techniques, and integrating ML models into automated workflows. Problem-Solving and Communication Skills: - Strong problem-solving abilities in a fast-paced, collaborative environment. - Effective communication skills to convey technical concepts and solutions to stakeholders. Bonus Points if You Have: - Certification in Machine Learning and AI. - Experience with large-scale ML deployments and managing complex data pipelines. - Familiarity with DevOps practices and tools. What Makes You Eligible: - 3 to 6 years of relevant experience in developing and deploying machine learning models. - Strong technical expertise in machine learning, programming languages, and cloud platforms. - Ability to analyze complex problems and develop effective solutions. - Collaboration and communication skills to work effectively with cross-functional teams. What We Offer: - Competitive salary and benefits package. - Opportunities for professional growth and development. - Collaborative and dynamic work environment. - Access to cutting-edge technologies and tools. - Recognition and rewards for outstanding performance. - Opportunity to work with a renowned German OEM. Join our talent community today and be part of a culture that values diversity, encourages sharing of ideas, and supports personal growth and development. At HARMAN, innovation is at the core of everything we do, creating technologies that make the world smarter, safer, and more connected across automotive, lifestyle, and digital transformation solutions. If you are ready to make a lasting impact through innovation, we invite you to join us.,

As an AI Engineer, you will have the exciting opportunity to work with companies seeking individuals who are passionate and hands-on in developing and scaling intelligent features directly into their products. In this fast-paced and high-impact role, you will be instrumental in designing machine learning pipelines, fine-tuning models, and seamlessly deploying them. Your responsibilities will include designing, training, and deploying machine learning and deep learning models, such as NLP, vision, or tabular models. You will collaborate closely with product and engineering teams to build end-to-end AI-driven features. Additionally, you will be responsible for building and maintaining data pipelines, monitoring model performance in production environments, researching and implementing cutting-edge techniques to enhance model outcomes, optimizing models for performance and scalability, and ensuring reproducibility and version control of model experiments. To excel in this role, you should have a strong foundation in machine learning and deep learning algorithms. Proficiency in Python and ML libraries like PyTorch, TensorFlow, and Scikit-learn is essential. Experience with model deployment and serving, including REST APIs, ONNX, and TorchScript, will be beneficial. Familiarity with data handling tools such as Pandas and NumPy, as well as workflow tools like MLflow and Airflow, is also required. Strong problem-solving skills and an iterative, experiment-driven mindset are key attributes for success in this position. In terms of qualifications, a minimum of 3-10 years of relevant experience is required. Exposure to additional areas such as LLMs, embeddings, vector databases (e.g., FAISS, Pinecone), MLOps or DevOps workflows, GPT-like models, retrieval-augmented generation (RAG), multimodal systems, cloud platforms (AWS, GCP, or Azure), and streaming data or real-time systems will be considered a bonus. Joining this role offers you high ownership and the opportunity to shape AI-first product experiences. You can expect a fast-paced learning environment with exposure to the entire product lifecycle. The collaborative team setting provides room for growth and leadership opportunities, allowing you to work on cutting-edge ML applications with significant real-world user impact.,

Tranzmeo is an innovative leader in the fiber optic sensing industry, dedicated to developing cutting-edge solutions that optimize pipeline monitoring, well monitoring, railways, aerospace, defense, and beyond. We harness the power of AI, ML, and Big Data to push the boundaries of sensing technology and provide real-time insights that matter. We’re hiring a passionate and experienced Technical Lead to head our Data Science & Machine Learning initiatives. If you’re excited about applying AI/ML to advanced sensing technologies and want to make a tangible impact, we want to hear from you! What You’ll Do: 🔹 Lead the design, development, and deployment of scalable AI/ML models tailored to fiber optic sensing data 🔹 Architect Big Data solutions for processing vast amounts of sensing data in real-time 🔹 Collaborate with product teams, sensor engineers, and stakeholders on innovative projects 🔹 Mentor and manage a talented team of data scientists and engineers 🔹 Ensure data quality, model performance, and security standards 🔹 Stay ahead of developments in AI/ML and fiber optic sensing fields to foster innovation What We’re Looking For: ✅ B.Tech in Computer Science, Data Science, or related fields ✅ 6+ years of experience in data science, machine learning, and Big Data, preferably in sensing or telecom sectors ✅ Proven leadership and team management skills ✅ Strong programming skills (Python) ✅ Experience with cloud platforms (AWS, GCP, Azure) ✅ Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) ✅ Skilled in Big Data tools (Hadoop, Spark, Kafka, Airflow) ✅ Good understanding of fiber optic sensing technologies and data characteristics is a plus ✅ Excellent problem-solving, communication, and collaboration skills Why Join Us? Work on innovative sensing technology projects with real-world impact Lead the AI and ML strategies in a pioneering industry Dynamic and growth-oriented work environment Opportunity to shape the future of fiber optic sensing solutions

About the Role: As a Machine Learning Operation Engineer at Onclusive, your primary responsibility will be to deploy, scale, and optimize backend algorithms, robust data ingestion pipelines, machine learning services, and data platforms to handle vast amounts of text and analytics data. You will leverage your technical expertise and Big Data analytics skills to address complex marketing challenges using Onclusive's extensive online content data. The role of an ML Ops Engineer is crucial to the success of Onclusive. Your responsibilities include designing and constructing scalable machine learning services and data platforms, utilizing benchmarks and metrics to enhance services, overseeing a system processing tens of millions of jobs daily, researching and implementing cutting-edge algorithms for data analysis, collaborating with data scientists and ML engineers on implementing ML, AI, and NLP techniques, and managing inference services on autoscaling fleets with GPUs and specialized hardware. Who you are: You hold a degree (BS, MS, or Ph.D.) in Computer Science or a related field, supported by practical experience. You should have a minimum of 2 years of experience with Kubernetes and/or Terraform, proficiency in Python with a solid grasp of Object-Oriented Programming principles, knowledge of containerization (preferably Docker), experience in Infrastructure as Code (IAC) for AWS (preferably Terraform), familiarity with Version Control Systems (particularly Git and GitHub) and CI/CD (preferably GitHub Actions), understanding of release management with a focus on testing and quality assurance, good grasp of ML principles, and desirable experience in Data Engineering tools like airflow, dbt, and meltano. Exposure to deep learning tech-stacks such as Torch, Tensorflow, and Transformers is a plus. What we can offer: Joining a rapidly growing global company, you will have the opportunity to enhance your skills and advance your career. In return for your contributions, we provide a competitive salary and benefits, a hybrid working environment within a team passionate about their work and supporting each other's development, and a company culture that prioritizes wellbeing and work-life balance through initiatives like flexible working arrangements and mental health support.,

As the Chief AI Specialist/Analyst at Agrosaf Pharmaceuticals, you will play a vital role in leading the development and implementation of AI-driven solutions to revolutionize operations, enhance decision-making processes, and foster innovation in the pharmaceutical sector. Your responsibilities will include developing and deploying models to optimize sales, marketing, and supply chain operations, analyzing extensive datasets to derive actionable insights, collaborating with diverse teams to integrate AI solutions into existing platforms, researching cutting-edge AI technologies relevant to the pharmaceutical industry, monitoring AI model performance to ensure adherence to company standards and ethical guidelines, as well as providing training and support to team members on AI tools and techniques. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI, or related fields, possess a minimum of 2-3 years of experience in ML model development and data analysis, demonstrate proficiency in programming languages such as Python, R, or Java, exhibit a strong understanding of AI frameworks like TensorFlow, PyTorch, or Scikit-learn, be familiar with data visualization tools like Power BI or Tableau, and showcase a problem-solving mindset with acute attention to detail. Effective communication and teamwork skills are essential for success in this position. In return, we offer a competitive salary ranging from 35,000 to 40,000 per month, based on your experience and expertise, the opportunity to work in a rapidly growing pharmaceutical company that leverages cutting-edge technology, avenues for professional growth and continuous learning, and a welcoming and collaborative work environment. If you are passionate about leveraging AI to drive innovation in the pharmaceutical industry, we encourage you to reach out to us by sending your CV directly to hr@agrosafpharmaceuticals.com or contacting us at 6396857901. Join us at Agrosaf Pharmaceuticals, where you can make a significant impact and be part of a team dedicated to shaping the future of healthcare. Thank you.,

At PwC, our software and product innovation team focuses on developing cutting-edge software solutions and driving product innovation to meet clients" evolving needs. Combining technical experience with creative thinking, you will deliver innovative software products and solutions. As a software engineer at PwC, your primary focus will be on developing innovative software solutions that drive digital transformation and enhance business performance. Your knowledge will be utilized to design, code, and test cutting-edge applications that revolutionize industries and deliver exceptional user experiences. In this role, you will build meaningful client connections, manage and inspire others, and navigate complex situations to grow your personal brand and technical expertise. Anticipating the needs of your teams and clients, you will deliver high-quality results. Embracing ambiguity, you will seek clarity, ask questions, and view challenges as opportunities for growth. Key Skills and Requirements: - Respond effectively to diverse perspectives, needs, and feelings of others. - Utilize a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Employ critical thinking to break down complex concepts. - Understand project objectives and your role's broader impact on the overall strategy. - Develop a deeper understanding of the business context and its evolving nature. - Utilize reflection to enhance self-awareness, strengths, and address development areas. - Interpret data to derive insights and recommendations. - Uphold professional and technical standards, including the firm's code of conduct and independence requirements. As a Senior Associate in the Business Services Support Line of Service at PwC, you will be part of the AI, Technology, and Innovation team. This global team operates across PwC's Acceleration Center (AC) locations, including India. The team is dedicated to leveraging advanced technologies and techniques to design and develop robust data solutions for the Acceleration Center. Your role will involve transforming raw data into actionable insights, enabling informed decision-making, and driving business growth through innovative products and platforms. Scope of Responsibility: - Collaborate with cross-functional teams to understand business requirements and apply GenAI technologies. - Design, develop, and maintain software solutions for GenAI projects. - Implement event-driven architectures for real-time data processing and analysis. - Utilize containerization technologies for efficient deployment and scalability. - Develop and manage data lakes for storing large volumes of structured and unstructured data. - Use Python as the primary programming language for software development. - Stay updated on advancements in GenAI technologies and recommend innovative solutions. - Document software engineering processes, methodologies, and best practices. Strategic & Technical Orientation: - Proficiency in Python and software engineering best practices for AI systems is essential. - Hands-on experience in developing and deploying AI models in production environments. - Experience in designing, developing, and implementing generative AI models and algorithms. - Conduct research to stay current with advancements in generative AI, machine learning, and deep learning. - Optimize generative AI models for improved performance and scalability. - Develop and maintain AI pipelines, including data preprocessing, model training, and evaluation. Range of Impact: - Deep understanding of state-of-the-art AI architectures. - Proficient in Python and machine learning libraries like TensorFlow, PyTorch, or Keras. - Strong knowledge of data structures, algorithms, and software engineering principles. - Effective communication skills to convey technical concepts to diverse audiences. - Proactive mindset to work independently and collaboratively in a dynamic environment. - Familiarity with cloud-based platforms such as Azure or AWS.,

As a Python Developer specializing in Machine Learning and Artificial Intelligence with 2 to 3 years of experience, you will be responsible for developing, training, and deploying machine learning models. Your expertise in Python and associated data science libraries will be crucial in collaborating with our data science and engineering teams to create intelligent solutions that address real-world challenges. You will have the opportunity to work on AI-driven applications, including predictive modeling, natural language processing, and computer vision, based on project requirements. Your key responsibilities will include developing and maintaining machine learning models using Python, working on AI-driven applications, collaborating with cross-functional teams to translate business requirements into ML solutions, preprocessing and transforming data for training and evaluation, as well as performing model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. It will be essential for you to write modular, efficient, and testable code, document processes, models, and experiments clearly for team use and future reference, and stay updated with the latest trends and advancements in AI and machine learning. To excel in this role, you should have 2 to 3 years of hands-on experience with Python programming, a solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning), experience with libraries such as scikit-learn, pandas, NumPy, Matplotlib, and Seaborn, exposure to deep learning frameworks like TensorFlow, Keras, or PyTorch, a good understanding of data structures and algorithms, and experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills are essential for this position. Preferred qualifications include a Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field, experience with deploying ML models using Flask, FastAPI, or Docker, knowledge of MLOps and model lifecycle management, as well as an understanding of NLP or Computer Vision. If you are a motivated Python Developer with a passion for Machine Learning and AI, and possess the required skills and qualifications, we invite you to join our team and contribute to building innovative solutions that make a positive impact.,

The company's beliefs serve as the guiding principles driving the daily operations, centered around core values of Inclusion, Innovation, Collaboration, and Wellness. These values underscore the importance of working collaboratively as a global team, prioritizing customers, self-care, interpersonal relationships, and community involvement. As a key member of the team, your role will focus on spearheading the strategic vision and advancement of cutting-edge machine learning models and algorithms to address intricate challenges. Working closely with data scientists, software engineers, and product teams, you will leverage innovative AI/ML solutions to enhance services. Your responsibilities will include constructing scalable ML pipelines, ensuring data accuracy, and deploying models in production environments to generate valuable business insights and enhance customer experiences. Key Responsibilities: - Define and execute the strategic vision for machine learning initiatives at the organizational level. - Lead the development and optimization of advanced machine learning models. - Supervise the preprocessing and analysis of extensive datasets. - Implement and uphold ML solutions in live production environments. - Collaborate with cross-functional teams to integrate ML models into products and services. - Monitor and assess the performance of deployed models, making necessary refinements. - Provide mentorship and guidance to junior engineers and data scientists. - Publish research outcomes and contribute to industry conversations. - Represent the company at conferences and external events. - Influence the company's AI/ML strategy and contribute to long-term planning. Minimum Qualifications: - A minimum of 18 years of relevant work experience along with a Bachelor's degree or equivalent. - Profound expertise in ML frameworks such as TensorFlow, PyTorch, or scikit-learn. - Extensive hands-on experience with cloud platforms like AWS, Azure, GCP, and tools for data processing and model deployment. - Recognized as an industry authority with a robust publication history. The company offers a range of benefits that support employee well-being and professional growth. To gain insight into our culture and community, visit https://about.pypl.com/who-we-are/default.aspx If you are interested in joining our Talent Community or have any queries regarding your application, please feel free to reach out. We acknowledge the challenges posed by the confidence gap and imposter syndrome, and we encourage all candidates to apply without hesitation.,

As a Senior Cloud AI/ML Architect, you will be responsible for collaborating with AWS Account Managers, solutions architects, and customers to define and scope AI/ML use cases. Your role will involve understanding customer business problems and assisting in implementing AI solutions, including generative AI. You will also be required to develop and deliver compelling technical demonstrations for business and technical leaders, design and architect state-of-the-art AI/ML solutions, and extract and share best practices, reference architectures, and patterns for reuse within the company. Additionally, you will prototype and validate innovative AI solutions across diverse industry verticals. About the Team: You will be part of a cross-functional team at Aivar that helps AWS customers accelerate the use of AI/ML, Generative AI, and realize transformational business opportunities. The team comprises ML scientists, engineers, architects, and strategists who work with customers step-by-step to build bespoke solutions. Preferred Technical Qualifications: - 10+ years of design, implementation, or consulting experience in applications and infrastructure - Experience using managed AI/ML services and solutions - Strong knowledge of Serverless, Analytics, Database, and AI/ML AWS services - Strong experience in applying machine learning models for business application - Strong programming skills in Python, TypeScript, Java, or related language - Strong understanding of AI/ML frameworks - Demonstrated track record of learning emerging AI/ML and Generative AI technologies - Experience working across varied business environments - Experience conveying complex subject matter to customers and stakeholders in written and verbal formats - Deep understanding of generative AI technologies and large language models - Portfolio showcasing innovative AI/ML solutions Preferred Soft Skills: - Collaboration Skills: Ability to work effectively with diverse teams - Exceptional Communication: Skilled at conveying complex AI/ML concepts to technical and non-technical stakeholders - Innovative Problem-Solving: Ability to tackle unique challenges with innovative AI/ML solutions - Adaptability and Continuous Learning: Capacity to learn and apply emerging AI/ML technologies - Leadership and Mentorship: Experience mentoring team members and fostering a culture of innovation and excellence Certifications: - AWS Certified Solutions Architect Associate - AWS Certified Solutions Architect Professional - AWS Certified Developer Associate (optional) - AWS Certified Machine Learning Specialty - AWS Certified Data Analytics Specialty - AWS Certified AI Practitioner (optional but valuable) - AWS Certified Database Specialty (optional but valuable) - AWS Certified Security Specialty (optional but valuable) This is a full-time position with benefits including health insurance and paid sick time. The work location is in person.,

The company believes in conducting business guided by core values of Inclusion, Innovation, Collaboration, and Wellness. Working together as a global team, with customers at the center, the values push for self-care, support, and community engagement. Job Description Summary: Design, develop, and implement machine learning models and algorithms to solve complex problems. Collaborate with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Build scalable ML pipelines, ensure data quality, and deploy models to drive business insights and improve customer experiences. Job Description: **Essential Responsibilities:** - Develop and optimize machine learning models for various applications. - Preprocess and analyze large datasets to extract meaningful insights. - Deploy ML solutions into production environments using appropriate tools and frameworks. - Collaborate with cross-functional teams to integrate ML models into products and services. - Monitor and evaluate the performance of deployed models. **Minimum Qualifications:** - Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent. - Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. - Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. - Several years of experience in designing, implementing, and deploying machine learning models. Our Benefits: - [List of benefits] Who We Are: Learn more about our culture and community at [Company website]. Commitment to Diversity and Inclusion For general requests or consideration of your skills, join our Talent Community. The company acknowledges challenges like the confidence gap and imposter syndrome that may hinder exceptional candidates. Don't hesitate to apply.,

We are looking for a skilled and motivated Data Scientist with a strong background in backend development and AI/ML engineering. The ideal candidate should have experience in constructing, deploying, and expanding machine learning solutions using Python and modern ML frameworks. Responsibilities: - Develop and implement machine learning models, including advanced architectures like Large Language Models (LLMs). - Collaborate with various teams to create scalable AI-driven solutions using sound software engineering principles. - Utilize Python and object-oriented programming to build efficient, maintainable, and production-grade ML pipelines. - Work with popular ML frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development and testing. - Integrate AI/ML models into applications via RESTful APIs while ensuring performance, scalability, and reliability. - Use tools like Hugging Face, LangChain, and OpenAI APIs for NLP and generative AI model development. - Manage containerized services using Docker for seamless deployment and reproducibility of ML solutions. - Follow best practices in version control (Git) and software development lifecycles to support collaborative and agile workflows. - Develop and maintain relational databases (e.g., MySQL, PostgreSQL, Oracle) to support data-driven applications. - Contribute to microservices-based architectures for AI/ML systems. - Apply agent communication protocols and multi-agent system design in relevant AI applications. - Analyze large datasets, extract actionable insights, and continuously improve models. Required Skills and Qualifications: - Minimum 4 years of experience in data science, machine learning, or backend development. - Proficiency in Python and solid foundations in object-oriented programming. - Hands-on experience with the entire machine learning model lifecycle, from training to production deployment and monitoring. - Understanding of scalable system design and microservices architecture. - Strong problem-solving skills, attention to detail, and knowledge of data structures and algorithms. - Excellent communication and collaboration abilities, with a knack for working in a dynamic team setting. Preferred Qualifications: - Expertise in Generative AI, particularly with Large Language Models (LLMs) like GPT and LLaMA. - Proficiency in prompt engineering, fine-tuning LLMs, and evaluating AI model performance. - Familiarity with AI system architecture, including orchestration frameworks and agent-based designs. - Experience with advanced AI tools, platforms, and APIs for scalable systems. - Strong communication skills and proven track record of effective collaboration in cross-disciplinary teams. - Knowledge of ethical AI principles, including model interpretability, fairness, responsible AI deployment, and ongoing monitoring.,

As a software developer with 5-7 years of experience, particularly with large-scale data systems, you should possess a B.Tech / B.E or ME/ M.Tech / MCA degree. Your expertise should extend to machine learning concepts such as regression, classification, and clustering. Proficiency in Python (or R, Java, C++) is essential, along with hands-on experience in ML libraries like scikit-learn, TensorFlow, PyTorch, and Keras. A strong foundation in data structures, algorithms, statistics, and DBMS is crucial for this role. Your communication skills, both verbal and written, should cater to technical and non-technical audiences. Additionally, familiarity with data tools like Pandas, NumPy, and SQL, along with soft skills like analytical thinking, problem-solving, adaptability, and teamwork, will be beneficial. Desirable skills for this position include exposure to advanced ML areas such as deep learning, NLP, computer vision, or reinforcement learning. Knowledge of cloud platforms like AWS, Azure, or GCP is advantageous. Familiarity with version control using Git and an understanding of MLOps and pipeline concepts are considered a bonus.,

We are looking for a skilled Generative AI Developer to be a part of our team and contribute to the development of advanced generative models. In this role, you will focus on creating AI systems that have the ability to produce innovative and human-like content across various domains such as natural language generation, image generation, and even video or music synthesis. To excel in this position, you should possess expertise in machine learning, deep learning, and natural language processing, along with a thorough understanding of specific generative models like GANs, VAEs, and other neural networks. Your responsibilities will involve developing and refining generative models using techniques such as GANs, VAEs, Transformers, and Diffusion models. You will also be working on tasks related to text generation, image generation, music or sound generation, video creation, and other creative AI applications. Furthermore, you will be expected to design, construct, and deploy models utilizing frameworks like TensorFlow, PyTorch, Hugging Face, OpenAI's GPT, or similar tools. It will be crucial to optimize AI models for performance, accuracy, and scalability in real-world production environments. Staying updated on the latest trends, research papers, and breakthroughs in the field of generative AI will also be a part of your role. Collaboration with other teams, such as data scientists, machine learning engineers, and product teams, to integrate models into production systems will be essential. Additionally, you will work on data preprocessing, augmentation, and designing pipelines to ensure high-quality input for model training. Documenting your code, processes, and model outputs for team-wide visibility and knowledge sharing will also be a key aspect of your responsibilities. **Required Qualifications & Skills:** - Bachelor's or Master's degree in Computer Science or related fields. - 3-4 years of hands-on experience in developing Generative AI solutions. - Strong understanding of deep learning algorithms, particularly in generative models like GANs, VAEs, Diffusion models, or large-scale language models like GPT. - Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face. - Experience working with neural networks, unsupervised learning, and natural language processing. - Proficient programming skills in Python, including deep learning libraries like TensorFlow, Keras, and PyTorch. - Familiarity with cloud platforms (AWS, GCP, or Azure) for model training and deployment. - Solid mathematical and statistical knowledge, especially in probability theory, linear algebra, and optimization. - Experience in large-scale model training, fine-tuning, or distributed computing. - Knowledge of reinforcement learning and self-supervised learning. - Understanding of AI ethics, bias mitigation, and interpretability in generative models.,

As an AI Tester at Emerson, you will play a crucial role in ensuring the quality and reliability of AI-driven applications through both automated and manual testing methods. Collaborating closely with data scientists and software engineers, you will be responsible for testing, verifying, and validating AI applications to enhance their performance and usability. Your primary responsibilities will include designing and implementing detailed test plans and test cases for AI-based applications, conducting rigorous tests on various AI models and algorithms, identifying and reporting defects, bugs, and anomalies in AI behavior, and developing automated test scripts for efficient testing. Additionally, you will work on preparing test data, conducting functional and regression testing, and assisting in training and fine-tuning AI models based on user feedback. To excel in this role, you will need a Bachelor's degree with relevant experience, strong knowledge of AI technologies and machine learning frameworks, excellent communication skills, and the ability to work collaboratively in an Agile development environment. You should also be detail-oriented, proactive, and willing to accept feedback to implement changes effectively. Preferred qualifications include a Bachelor's degree in Computer Science or Engineering, 3+ years of experience in Quality Assurance testing for AI applications, knowledge of ethical AI principles, and proficiency with automated testing tools and AI platforms. This is a full-time position based at Matrix Tower, Pune, India, with a day shift schedule. If you are a cross-functional teammate who is organized, flexible, and eager to contribute to the QA processes and testing frameworks for AI development, we encourage you to apply for this exciting opportunity.,

As an AI Research Scientist, your role will involve developing the overarching technical vision for AI systems that cater to both current and future business needs. You will be responsible for architecting end-to-end AI applications, ensuring seamless integration with legacy systems, enterprise data platforms, and microservices. Collaborating closely with business analysts and domain experts, you will translate business objectives into technical requirements and AI-driven solutions. Working in partnership with product management, you will design agile project roadmaps that align technical strategy with market needs. Additionally, you will coordinate with data engineering teams to guarantee smooth data flows, quality, and governance across various data sources. Your responsibilities will also include leading the design of reference architectures, roadmaps, and best practices for AI applications. You will evaluate emerging technologies and methodologies, recommending innovations that can be integrated into the organizational strategy. Identifying and defining system components such as data ingestion pipelines, model training environments, CI/CD frameworks, and monitoring systems will be crucial aspects of your role. Leveraging containerization (Docker, Kubernetes) and cloud services, you will streamline the deployment and scaling of AI systems. Implementing robust versioning, rollback, and monitoring mechanisms to ensure system stability, reliability, and performance will also be part of your duties. Project management will be a key component of your role, overseeing the planning, execution, and delivery of AI and ML applications within budget and timeline constraints. You will be responsible for the entire lifecycle of AI application development, from conceptualization and design to development, testing, deployment, and post-production optimization. Enforcing security best practices throughout each phase of development, with a focus on data privacy, user security, and risk mitigation, will be essential. Furthermore, providing mentorship to engineering teams and fostering a culture of continuous learning will play a significant role in your responsibilities. In terms of mandatory technical and functional skills, you should possess a strong background in working with or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, along with robust knowledge of machine learning libraries such as TensorFlow, PyTorch, and Keras, is required. You should also have proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker), orchestration frameworks (Kubernetes), and related DevOps tools like Jenkins and GitLab CI/CD are necessary. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments is essential. Additionally, proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) and expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture are vital for this role. Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) is also required to support robust inter-system communications. Preferred technical and functional skills include experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI's API integrations, and other domain-specific tools is advantageous. Experience in large-scale deployment of ML projects, along with a good understanding of DevOps/MLOps/LLM Ops and training and fine-tuning of Large Language Models (SLMs) like PALM2, GPT4, LLAMA, etc., is beneficial. Key behavioral attributes for this role include the ability to mentor junior developers, take ownership of project deliverables, contribute to risk mitigation, and understand business objectives and functions to support data needs. If you have a Bachelor's or Master's degree in Computer Science, certifications in cloud technologies (AWS, Azure, GCP), and TOGAF certification (good to have), along with 11 to 14 years of relevant work experience, this role might be the perfect fit for you.,

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Level : Senior Associates Line of Service : Business services support At PwC, our people in the AI, Technology and Innovation team are part of a Global team with our team members sitting across our Acceleration Center (AC) locations including India. This team is focused on leveraging advanced technologies and techniques to design and develop robust data solutions for the Acceleration centre . They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth by creating products and platforms that re-imagine the way we drive our clients to the Leading edge. Scope Of Responsibility Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Design, develop, and maintain software solutions for GenAI projects. Implement event-driven architectures to enable real-time data processing and analysis. Utilize containerization technologies for efficient deployment and scalability. Develop and maintain data lakes for storing and managing large volumes of structured and unstructured data. Utilize Python as the primary programming language for software development. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance software engineering processes. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Document software engineering processes, methodologies, and best practices. Maintain solution architecture certificates and stay current with industry best practices. Strategic & Technical Orientation / Job Content Proficiency in Python and software engineering best practices for AI systems is a must 3+ years of hands-on experience developing and deploying AI models in production environments with 1 year of experience in developing generative AI pilots, proofs of concept, and prototypes 1+ years experience in designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance, scalability, and efficiency. Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Range Of Impact Deep understanding of state-of-the-art AI architectures Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. Have strong knowledge of data structures, algorithms, and software engineering principles. Have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Familiar with cloud-based platforms and services, such as Azure or AWS

As a Principal Software Engineer at Red Hat OpenShift Engineering team in Bangalore, India, you will be a valuable member of an agile team dedicated to enhancing the engineering of Red Hat OpenShift Container Platform and its core components within Kubernetes. Your role will involve collaborating with various engineering teams, product management, and key stakeholders to fulfill customer requirements and adapt to the evolving needs of Red Hat OpenShift's growing customer base. Your responsibilities will include developing architectural and design principles to enhance product performance, capacity, and scalability. You will contribute to feature development, bug fixes, and peer code reviews within an agile team structure. Additionally, you will work closely with Engineering, Product Management, and Support teams to prioritize customer-facing features throughout the product lifecycle. In this role, you will play a key part in engaging with the open source Kubernetes community, leading the implementation of crucial improvements in the software product. Your expertise will be crucial in defining the high-level structure of software systems, providing architectural viewpoints on customer solutions, and ensuring product quality through continuous integration, delivery, and security threat responses. To excel in this position, you should possess an engineering degree or higher in computer science or a related field, along with 8+ years of coding experience in languages like Go, Java, or Python. Strong architectural mindset, experience with containers and Kubernetes, and problem-solving skills are essential. Excellent written and verbal communication skills are also required to effectively communicate architectural decisions to stakeholders and technical staff. Experience with AI frameworks, Red Hat Enterprise Linux, open source development models, test-based development methodologies, and observability tools will be advantageous. Additionally, familiarity with enterprise application development and running applications on OpenShift will be beneficial for this role. At Red Hat, we value diversity and inclusivity, encouraging individuals from all backgrounds to contribute their ideas and make an impact in our open and collaborative environment. We are committed to providing equal opportunities and access to all applicants, celebrating the unique perspectives and experiences that enrich our global community.,

Qualcomm India Private Limited is a leading technology innovator pushing the boundaries of what's possible to enable next-generation experiences and drive digital transformation for a smarter, connected future. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and specialized utility programs to launch cutting-edge, world-class products exceeding customer needs. Collaborate with various teams to design system-level software solutions and gather performance requirements and interfaces. Minimum Qualifications: - Possess a Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field. Senior Machine Learning & Data Engineer: Join our team as a Senior Machine Learning & Data Engineer with expertise in Python development. Design scalable data pipelines, build and deploy ML/NLP models, and enable data-driven decision-making within the organization. Key Responsibilities: - Data Engineering & Infrastructure: Design and implement robust ETL pipelines and data integration workflows using SQL, NoSQL, and big data technologies. - Machine Learning & NLP: Build, fine-tune, and deploy ML/NLP models using frameworks like TensorFlow, PyTorch, and Scikit-learn. - Python Development: Develop scalable backend services using Python frameworks such as FastAPI, Flask, or Django. - Collaboration & Communication: Work closely with cross-functional teams to integrate ML solutions into production systems. Required Qualifications: - Hold a Bachelors or Masters degree in Computer Science, Engineering, or a related field. - Possess strong Python programming skills and experience with modern libraries and frameworks. - Deep understanding of ML/NLP concepts and practical experience with LLMs and RAG architectures. Automation Engineer: As an Automation Engineer proficient in C#/Python development, you will play a crucial role in developing advanced solutions for Product Test automation. Collaborate with stakeholders to ensure successful implementation and operation of automation solutions. Responsibilities: - Design, develop, and maintain core APIs using C#. - Identify, troubleshoot, and optimize API development and testing. - Stay updated with industry trends in API development. Requirements: - Hold a Bachelor's degree in Computer Science, Engineering, or a related field. - Proven experience in developing APIs using C# and Python. - Strong understanding of software testing principles and methodologies. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. For accommodations, contact disability-accommodations@qualcomm.com.,

As a Software Engineer (A2), your main responsibilities will revolve around designing and developing AI-driven data ingestion frameworks and real-time processing solutions to enhance data analysis and machine learning capabilities across the full technology stack. You will be tasked with deploying, maintaining, and supporting application codes and machine learning models in production environments while ensuring seamless integration with front-end and back-end systems. Additionally, you will create and improve AI solutions that facilitate the smooth flow of data across the data ecosystem, enabling advanced analytics and insights for end users. Your role will also involve conducting business analysis to gather requirements and develop ETL processes, scripts, and machine learning pipelines that meet technical specifications and business needs using both server-side and client-side technologies. You will be responsible for developing real-time data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark, Python, and cloud platforms to support AI applications. Utilizing multiple programming languages and tools like Python, Spark, Hive, Presto, Java, and JavaScript frameworks, you will build prototypes for AI models and assess their effectiveness and feasibility. It will be essential to develop application systems adhering to standard software development methodologies to deliver high-performance AI solutions across the full stack. Collaborating with other engineers, you will provide system support to resolve issues and enhance system performance for both front-end and back-end components. Furthermore, you will operationalize open-source AI and data-analytic tools for enterprise-scale applications, ensuring alignment with organizational needs and user interfaces. Compliance with data governance policies by implementing and validating data lineage, quality checks, and data classification in AI projects will be a crucial aspect of your role. You will need to understand and follow the company's software development lifecycle effectively to develop, deploy, and deliver AI solutions. In terms of technical skills, you are expected to have a strong proficiency in Python, Java, C++, and familiarity with machine learning frameworks like TensorFlow and PyTorch. A deep understanding of ML, Deep Learning, and NLP algorithms is also required. Proficiency in building backend services using frameworks like FastAPI, Flask, and Django, as well as full-stack development skills with JavaScript frameworks such as React and Angular, will be essential for integrating user interfaces with AI models and data solutions. Preferred technical skills include expertise in big data processing technologies like Azure Databricks and Apache Spark to handle, analyze, and process large datasets for machine learning and AI applications. Additionally, certifications such as Microsoft Certified: Azure Data Engineer Associate or Azure AI Engineer are considered advantageous. To excel in this role, you should possess strong oral and written communication skills to effectively communicate technical and non-technical concepts to peers and stakeholders. Being open to collaborative learning, able to manage project components beyond individual tasks, and having a good understanding of business objectives driving data needs will be key behavioral attributes for success. This role is suitable for individuals holding a Bachelors or Masters degree in Computer Science with 2 to 4 years of software engineering experience.,