101 Ml Frameworks Jobs

In this role, you will be responsible for: - Building & maintaining ETL/ELT pipelines to ensure data accuracy and quality. - Working with large datasets to collect, clean, and prepare data for analysis. - Designing & implementing predictive models and collaborating with Data Science teams. - Creating dashboards & reports using tools like Tableau, Power BI, matplotlib, and Seaborn. - Working with cloud platforms such as AWS, Azure, GCP, and databases like SQL, MongoDB, PostgreSQL, and MySQL. - Collaborating with cross-functional teams to solve business problems using data. Preferred Skills: - Proficiency in Big Data tools like Spark, Hadoop. - Experience with ML Frameworks such as TensorFlow, PyTorch, Scikit-learn. - Strong programming skills in Python/R, particularly with Pandas and NumPy. - Knowledge of data engineering & warehousing concepts. As for additional details of the company, there is a focus on employee well-being and growth opportunities, including: - Health Insurance - Occasional WFH options as per policy - Paid time-off for personal needs - Exposure to client interactions & real-world business challenges - Opportunity to work on cutting-edge cross-functional projects Please note that this is a full-time position with the work location being in person.,

Role Overview: We are seeking an experienced Senior Data Scientist to lead data-driven initiatives, perform advanced exploratory data analysis, and build & deploy scalable machine learning models. The ideal candidate will have strong expertise in Python, generative AI (GenAI), and machine learning deployment frameworks, with a good understanding of the life sciences domain. Key Responsibilities: 8 to 10 years of experience in leading design and development of advanced ML and Generative AI models. Drive end-to-end data science projects from data preparation to deployment. Apply LLMs, transformers, and other GenAI techniques to business problems. Guide and mentor junior data scientists in technical delivery. Partner with stakeholders to translate business needs into AI solutions. Ensure scalability, performance, and reliability of deployed models. Stay current with GenAI advancements and evaluate adoption for the organization. Required Skills: Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn). Deep expertise in NLP, LLM fine-tuning, transformers, and GenAI frameworks. Experience with MLOps, model deployment, and cloud platforms (AWS, Azure, GCP). Strong knowledge of data engineering concepts, feature engineering, and large-scale data handling. Experience with vector databases (FAISS, Pinecone, Weaviate) and orchestration tools (LangChain, LlamaIndex). Excellent problem-solving, communication, and leadership skills. Show more Show less

Role Overview: Are you passionate about teaching and shaping the next generation of tech leaders VGU NextGen, Jaipur is seeking an experienced Technical Trainer to become a part of their team. As a Technical Trainer, you will be responsible for delivering engaging training sessions in Cloud, Full Stack Development, and AI & ML while mentoring and guiding learners in their career journey. Stay updated with the latest industry trends and be a part of building the future of tech at Vivekananda Global University, Jaipur. Key Responsibilities: - Deliver engaging training sessions in Cloud, Full Stack Development, and AI & ML - Develop hands-on labs, projects & real-world case studies - Mentor and guide learners in their career journey - Stay updated with the latest industry trends Qualifications Required: - B.Tech or M.Tech - Minimum 3 years of experience in industry/academics Additional Details: Interested candidates can share their CV at vishwa.s@ctpl.io with the subject line: Application - Technical Trainer. Join the team at Vivekananda Global University, Jaipur, and be a part of shaping the future of tech in Jaipur and Hisar, Haryana.,

Full time with Global MNC in to ecommerce logistics As we scale and grow, Data will be our backbone to drive efficiency initiatives in our ecosystem. We are looking for a Head of Product for Data who will be responsible for managing 3 pillars of Data Analytics & BI, Data Governance and Data AI. A DAY IN A LIFE As a start up, you can expect your days to be pretty varied. Multitasking is normal, and sometimes, your skills or natural talents will be leveraged to support other business priorities. That said, the bulk of your working hours should involve you having to: Work with group stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions and identify business strategies Assess the effectiveness and accuracy of new data sources and data gathering techniques Develop predictive models using Machine Learning, Natural Language Processing (OCR, information extraction), and LLMs to build Data Products that directly impact key organization metrics Research on algorithm improvements for higher performance, accuracy, and optimality. Develop processes and tools to monitor and analyze model performance and data accuracy. Work on building the right data governance practice as we scale in our journey from a startup to more enterprise architecture To ensure seamless onboarding with a dynamic team - you as a leader are expected to: Roll up their sleeves as needed, and never delegate work that one would not be willing to do themselves Do what is needed to get things done, as they believe speed is more important than anything else to effect change Over communicate, particularly as they are all quite autonomous Take care of our staff, and treat them as they would want to be treated Are detail oriented, able to operate in an environment of chaos, identifying the right opportunities Requirements Experienced working in Data Products and building and scaling data teams to support organization growth Experience using ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with Google Cloud Platform products and services such as Vision API, Recommendations API, Cloud Natural Language. An in-depth knowledge of AI techniques, their real-world advantages/drawbacks, and ability to prescribe and implement feasible and appropriate conventional/AI related techniques that serve as solutions to problems. Good knowledge of codebase shares like Gitlab, bitbucket, and CI/CD process Strong problem solving skills with an emphasis on business solution product development. Excellent written and verbal communication skills for coordinating across teams. Great team player but at the same time able to work independently with minimal supervision

Key Responsibilities: Design and implement cloud architecture for AI/ML, LLM model deployment, monitoring, and scaling Deploy models using Docker, Kubernetes, and CI/CD pipelines across cloud environments on Azure or GCP Optimize AI model serving using tools like TensorFlow Serving, TorchServe, ONNX Runtime, Triton Inference Server, etc. Build and manage IaC using Terraform, or CloudFormation Implement security best practices, autoscaling, logging, monitoring (Prometheus/ Grafana/ ELK), and disaster recovery plans Collaborate with ML engineers to produce prototypes into resilient, cloud-native services Benchmark and tune deployments for low latency, high throughput, and cost optimization Required Qualifications: 8+ years of experience in cloud engineering, with 4+ years focused on AI/ML deployment at scale Strong hands-on expertise in Azure and GCP Proficient in Docker, Kubernetes, Helm, and serverless deployment models Solid understanding of ML frameworks (TensorFlow, PyTorch, scikit-learn) and model deployment workflows Experience in CI/CD tools (GitHub Actions, Jenkins, GitLab CI), scripting (Python, Bash), and API gateway management

As an AI Engineer at Logistic Infotech Pvt. Ltd., you will be responsible for architecting and implementing multi-agent AI systems using CrewAI and LangChain for real-time logistics optimization. Your key responsibilities will include developing autonomous agents capable of decision-making, task delegation, and inter-agent communication, conducting A/B testing and beta testing for AI workflows, building and deploying Agentic & RAG-based chatbots and LLM applications, integrating AI with logistics platforms (TMS/WMS) and external APIs, setting up dashboards & monitoring tools for system KPIs, as well as leading and mentoring junior engineers while collaborating with cross-functional teams. Qualifications required for this role include a Bachelors (4 Years)/ Masters (3+2 Years) in Computer Science, 3-5 years of experience in AI/ML development (multi-agent systems, logistics, or related), hands-on experience with CrewAI, LangChain, and LLM deployment, strong Python skills, experience with ML frameworks such as TensorFlow/PyTorch, practical experience in chatbot lifecycle (design & deployment), knowledge of A/B testing, beta testing pipelines, and real-world simulations, familiarity with Docker/Kubernetes, cloud platforms (AWS/Azure/GCP), NLP, and distributed systems. Preferred skills for this position include knowledge of graph theory, network optimization, and blockchain security, as well as experience with MCP. Soft skills required are strong English communication, problem-solving & analytical mindset, strong communication & stakeholder handling, and leadership & mentoring ability. Logistic Infotech Pvt. Ltd. offers benefits such as 5 Days Working for work-life balance, Mediclaim Insurance for all permanent employees, Festival Leaves, exposure to Modern Technologies, and a positive & supportive work culture. Please note the job type is Full-time and Permanent. Application Question(s): - How many years of work experience do you have for Langchain & CrewAI - Have you ever worked with MCP - Rate your English communication out of 10 Work Location: In person,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment Collaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools Develop and maintain CI/CD pipelines for ML workflows Implement monitoring and logging solutions for ML models, experience with ML model serving frameworks (TensorFlow Serving, TorchServe) Optimize ML infrastructure for performance, scalability, and cost-efficiency Your Profile Strong programming skills in Python (5+ years), with experience in ML frameworks understanding of ML-specific testing and validation techniques Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes), Knowledge of data versioning and model versioning techniques Proficiency in cloud platform (AWS) and their ML-specific services with atleast 2-3 years of experience. Strong understanding of DevOps practices and tools (GitLab, Artifactory, Gitflow etc.) Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack) and knowledge of distributed training techniques What you'll love about working here We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as MLOps, Machine Learning Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

About the Role Were seeking a Machine Learning Engineer with strong expertise in Python, PySpark, and ML frameworks to work on advanced AI/ML projects. The role involves building, maintaining, and optimizing ML models, conducting data exploration, and applying cutting-edge algorithms to deliver actionable insights. Primary Skills & Responsibilities 6-8 years of programming experience in Python / PySpark with ML libraries Strong understanding of ML concepts: Probabilistic Models, Supervised & Unsupervised Learning, Ensemble Techniques, Hyperparameter Tuning Experience with constraint optimization and deep learning models Proven experience in building ML models: Regression, Logistic Regression, Random Forest, XGBoost, SVM, Clustering, etc. Ability to explore data and communicate insights effectively to technical & non-technical stakeholders Expertise in scikit-learn, h2o, R/MLlib, Databricks ML services Strong problem-solving and research skills; ability to apply new methodologies to practical scenarios Nice to Have Experience with Databricks ML services Familiarity with cloud-based ML pipelines Exposure to advanced ML frameworks Send your updated resume to with the following details Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad,Remote

Key Skills: AWS Bedrock & Claude LLM AWS Lambda & Serverless Architecture Docker & Containerization MLOps & CI/CD for ML Python & ML Frameworks (TensorFlow, PyTorch, etc.) NOTE: Apply only if you have relevant experience in this domain.

We are seeking a hands-on leader to play a crucial role in shaping the future of AI/ML and SaaS platforms at scale. This position involves a combination of architecture, coding, and mentorship, providing an exciting opportunity to drive enterprise AI adoption. As part of your responsibilities, you will be expected to build and scale AI/ML solutions such as LLMs, RAG, and automation. You will remain hands-on by participating in coding and design reviews, as well as mentoring teams and promoting best engineering practices. Collaboration with product and business teams to deliver high-impact use cases will also be a key aspect of this role. The ideal candidate should possess over 15 years of experience in software engineering, with a strong background in coding and architecture. A track record of innovation in enterprise AI and SaaS platforms is essential. Additionally, experience with GenAI tools like LangChain and Hugging Face, ML frameworks such as PyTorch and TensorFlow, and MLOps tools like MLflow, SageMaker, and Kubernetes will be highly beneficial. Joining our team will allow you to work at the forefront of AI/ML technologies. You will have the opportunity to maintain a hands-on approach while contributing to the development of architecture and culture. Furthermore, you will be part of a team that prioritizes impact, agility, and innovation.,

As a Senior Python Developer specializing in AI/ML at NS Ventures, you will be responsible for designing, developing, and deploying AI-driven applications. In this role, you will collaborate with global teams to work on advanced ML models, cloud-based deployments, and scalable backend systems. Your primary responsibilities will include developing and deploying scalable AI/ML models in Python, collaborating with data scientists to implement ML solutions, building and maintaining data pipelines for training and inference, creating APIs (using FastAPI/Django/Flask) to serve ML models, optimizing models for performance and efficiency, as well as deploying and managing solutions on cloud platforms such as AWS, GCP, or Azure. Additionally, you will have the opportunity to work on projects involving NLP, Computer Vision, and Generative AI, while also mentoring junior developers and enforcing coding best practices within the team. To excel in this role, you should possess a minimum of 5 years of Python development experience with a strong backend focus, hands-on expertise in ML frameworks (such as TensorFlow, PyTorch, Scikit-learn, Hugging Face), experience in developing REST APIs using FastAPI/Django/Flask, a solid understanding of cloud platforms (AWS/GCP/Azure), proficiency in SQL/NoSQL databases and data engineering, exposure to Computer Vision, NLP, or Generative AI, strong debugging and problem-solving skills, as well as mandatory English fluency, with knowledge of Spanish or other global languages being a plus.,

As a seasoned professional with extensive experience in machine learning operations (MLOps), you will be responsible for leading a talented team and developing a comprehensive technical strategy. Your expertise in Python programming and ML frameworks such as TensorFlow or PyTorch will be crucial in implementing MLOps best practices, including model versioning, monitoring, automated deployment, and infrastructure automation. Your in-depth knowledge of Google Cloud Platform services, including Data Fusion, Dataproc, and Dataflow, will play a key role in data processing and pipeline orchestration. Experience with PostgreSQL databases and data integration tools like Qlik Replicate will further enhance your capabilities in this role. Security and privacy considerations for machine learning systems will be a top priority, requiring expertise in data encryption, access control, and compliance with regulations such as GDPR and HIPAA. Strong communication and leadership skills are essential for engaging both technical and non-technical stakeholders effectively. With a background in Computer Science, Engineering, or related field, along with 5+ years of experience managing software engineering or MLOps teams, you will be well-equipped to take on this challenging role. Hands-on experience deploying and managing machine learning models in production for 3+ years will further strengthen your candidacy. Your overall IT industry experience of 14+ years, along with relevant certifications in MLOps and Cloud platforms (especially GCP Professional Machine Learning Engineer or Data Engineer), will be valuable assets in this position. In this role, you will be leading the development and execution of a comprehensive technical strategy for the end-to-end ML lifecycle and experimentation capabilities. Your responsibilities will include fostering a culture of continuous learning and innovation, participating hands-on in coding, code reviews, troubleshooting, and mentoring, and creating scalable MLOps frameworks and infrastructure to support the full machine learning pipeline. Collaboration with data scientists, data engineers, software developers, and business stakeholders will be essential to ensure robustness, scalability, and performance in integrating ML models into production. Implementation of rigorous security best practices to maintain compliance with industry standards and regulations will be a critical aspect of your role. Furthermore, you will be responsible for maintaining thorough technical documentation, guidelines, and knowledge-sharing resources to support the ongoing success of the MLOps initiatives.,

Were looking for a hands-on leader to shape the future of AI/ML and SaaS platforms at scale. This role blends architecture, coding, and mentorship with the chance to drive enterprise AI adoption. What youll do Build & scale AI/ML solutions (LLMs, RAG, automation). Stay hands-on with coding & design reviews. Mentor teams & drive best engineering practices. Partner with product & business to deliver high-impact use cases. What you bring 15+ years in software engineering, strong coding + architecture skills. Proven innovation (enterprise AI/SaaS platforms). Experience with GenAI tools (LangChain, Hugging Face), ML frameworks (PyTorch, TensorFlow), and MLOps (MLflow, SageMaker, Kubernetes). Why join us Work at the frontier of AI/ML Stay hands-on while shaping architecture & culture Be part of a team that values impact, agility, and innovation Show more Show less

The company's core values of Inclusion, Innovation, Collaboration, and Wellness guide the daily business operations. These values emphasize working as a global team with customers at the center, prioritizing self-care, teamwork, and community support. As a Machine Learning Engineer, you will lead the design and development of machine learning models and algorithms to improve customer satisfaction, retention, and overall experience. Your responsibilities will include utilizing statistical and machine learning techniques to analyze customer data, identifying patterns and trends. You will collaborate with cross-functional teams to translate insights into actionable strategies. It is essential to stay updated on emerging ML technologies and methodologies, conducting research and experimentation to foster innovation within the team. To qualify for this role, you should possess a Bachelors/Masters or Ph.D. in Computer Science, Statistics, Mathematics, or a related field. Additionally, you should have at least 4 years of experience in Machine/Deep learning and Natural Language Processing. Proficiency in programming languages like Python and ML Frameworks such as PyTorch is required. A strong understanding of machine learning algorithms and techniques, along with hands-on experience in model development and evaluation, is crucial. Experience with Large Language Models (LLMs) and other transformer-based architectures is preferred. A proven track record of delivering actionable insights and driving business impact through data-driven decision-making is highly valued. The company offers various benefits, and they are committed to fostering a diverse and inclusive workplace. To learn more about the company's culture and community, visit their website at https://about.pypl.com/who-we-are/default.aspx. If you are interested in joining their Talent Community or have any inquiries about your skills, please feel free to reach out. The company acknowledges the confidence gap and imposter syndrome that may hinder exceptional candidates and encourages all qualified individuals to apply without hesitation.,

Overview: We are seeking candidates who are willing to begin their employment at the iProgrammer office for the first three months. After this period, the role will transition to Saudi Arabia, where you will continue your work. The organization will provide full support for relocation, including visa processing, accommodation, and transportation. We are hiring Senior AI Python Developers to design and deploy scalable AI/ML solutions. Candidates should have strong Python expertise, experience with ML frameworks, and the ability to mentor juniors while driving innovation. Key Responsibilities Lead the design, development, and deployment of AI/ML models and pipelines. Build scalable Python applications and APIs to integrate AI into production systems. Architect and implement LLM-based solutions (GPT, Llama, Falcon) and RAG pipelines for enterprise use cases. Apply Agentic AI concepts to build autonomous and multi-agent systems. Perform AI fine-tuning for domain-specific and production-ready models. Implement and optimize OCR solutions for unstructured data. Leverage LangChain to develop advanced LLM-powered applications. Collaborate with product managers, data engineers, and DevOps teams to deliver robust solutions. Monitor and optimize model performance continuously. Write clean, efficient, and maintainable code following best practices. Guide, mentor, and review junior developers work. Stay updated with emerging AI/ML technologies and recommend adoption. Contribute to MLOps practices (CI/CD for ML, model versioning, Docker/Kubernetes deployment). Ensure compliance with data security, governance, and ethical AI standards. Qualifications & Skills Bachelors or Masters in Computer Science, Software Engineering, AI, or related fields. 5+ years of professional Python development experience. Proven expertise with ML frameworks: TensorFlow, PyTorch, Hugging Face, Scikit-learn. Hands-on experience with Agentic AI, AI Fine-Tuning, OCR, and LangChain. Strong grasp of ML algorithms, feature engineering, and data preprocessing. Knowledge of SQL/NoSQL databases. Experience with cloud platforms (AWS, GCP, Azure). Proficiency in Docker/Kubernetes. Strong analytical, problem-solving, and communication skills. Demonstrated leadership and mentoring abilities. Preferred (Nice to Have) Experience building SaaS AI products or enterprise AI solutions. Familiarity with data security standards (ISO 27001, GDPR, NCA). Research background in deep learning, NLP, or generative AI. Contributions to open-source AI/ML projects.

Frinks AI is a SaaS platform that enables manufacturers to seamlessly integrate advanced AI for quality control and visual inspection, ensuring unparalleled quality and consistency in manufacturing. With a focus on addressing unique challenges in the sector, we are pioneering research on domain-specific, lean, and efficient AI models that enhance operational efficiency, optimize processes, and drive innovation. Our scalable platform automates production processes with high accuracy, making it a trusted solution for global manufacturers. We are seeking a highly skilled and passionate Research and Development Engineer to join our team. The ideal candidate will drive innovation in the fields of AI, image processing, and computer vision by designing, implementing, and evaluating cutting-edge algorithms and models. You will collaborate with a dynamic team to get exposure to computer vision and translate research ideas into real-world applications. Key Responsibilities: - Design, implement, and evaluate image processing algorithms and computer vision models. - Dive deep into the fundamentals of ML, including architectures, loss functions, data evaluation, and model implementation efficiency during both training and deployment. - Report and present research findings and developments, including progress, results, and insights, in a clear and efficient manner to both internal and external stakeholders. - Suggest and participate in team collaborations to achieve ambitious research objectives. - Stay updated with the latest research by reading academic papers and articles and implementing relevant techniques. Team Level Requirements: - Ability to collaborate effectively in a cross-functional team environment. - Strong communication skills to articulate research findings and technical concepts clearly. - A proactive approach to identifying challenges and proposing innovative solutions. - Commitment to continuous learning and staying at the forefront of the AI and machine learning landscape. Key Skill Set: - Proven track record of publications and relevant experience in areas such as foundational models, ML+ Systems, optimization, learning theory, computer vision, and image processing. - Demonstrated expertise with ML frameworks (e.g., PyTorch). - Proven experience in training models and applying experimental ideas to practical problems. - Experience working on projects from proof-of-concept through implementation in an industrial setting. - Strong mathematical aptitude with the ability to grasp and apply complex concepts quickly. - Genuine enthusiasm for AI, image processing, and computer vision. - Publications in top AI conferences/Journals e.g. NIPS, CVPR, ICLR, TPAMI, ICML, etc. is a plus. Qualification Background: - B.Tech/M.Tech in Computer Science or Electrical Engineering from a Tier 1 institute. - Minimum 2+ years of relevant work experience in the field.,

As a Senior AI Engineer at Webential (Group), you will have the opportunity to be part of a dynamic technology group that is dedicated to re-imagining problems and bringing innovative solutions to life through AI. We value diverse perspectives, teamwork, continuous learning, and pushing the boundaries of what's possible. Your role will involve transforming customer service and lead generation in various industries such as Automotive, Construction, Self Storage, Trade Services, and more. You will work under Xtreme Online Solutions, with the possibility of working from offices in Ahmedabad or Trivandrum as required. Your responsibilities will include designing, developing, and deploying AI solutions to optimize design options, streamline engineering workflows, and enhance project planning. You will also lead AI product development, mentor junior team members, collaborate with business leaders and end-users to identify process improvements, and support data-driven decision-making. In this role, you will be expected to rapidly prototype and test AI solutions in an agile environment, take ownership of AI products throughout their lifecycle, continuously enhance AI models and systems, engage in architectural reviews, and stay updated on the latest advancements in AI research and emerging technologies to bring fresh ideas to the team. To be successful in this role, you should have a degree in Computer Science, AI, Machine Learning, or a related technical field. An MS or PhD is a plus. You must have strong proficiency in Python, experience with AI and ML frameworks like PyTorch and Langchain, and proven expertise in building and deploying AI/machine learning systems, including NLP and computer vision techniques. Familiarity with large language models (LLMs) such as OpenAI's GPT, experience with prompt engineering techniques, knowledge of methodologies like Retrieve and Generate (RAG), and experience with REST API architecture, database management, and automation tools are also required. Hands-on experience with cloud platforms like AWS, Azure, or GCP, leadership abilities, clear communication skills, and a genuine passion for leveraging AI to innovate and transform traditional business processes are essential. If you are passionate about shaping the future of AI, enjoy working in a collaborative environment, and are eager to bring ideas to life, we encourage you to apply to join our growing team at Webential.,

System Analsyt -Data Scientist lead Job Title: System Analyst Data Scientist Lead Location: Pune Kalyani Nagar Shift Timing: General Shift Experience: 7-15 years (Minimum 2 years in a leadership/management role) About Cybage: Cybage Software is a technology consulting organization and the head office is in Pune; you will get an opportunity to be a part of highly skilled talent pool of more than 7000 employees. We have our operations hub in GNR and Hyderabad as well and we have also marked our presence in USA, UK, Japan, Germany, Ireland, Canada, Australia, and Singapore. We provide seamless services and dependable deliveries to our clients from diverse industry verticals such as Media and Advertising, Travel and Hospitality, Digital Retail, Healthcare and Life Sciences, Supply chain and logistics, and Technology. Role Overview We are looking for a dynamic and experienced System Analyst Data Scientist Lead to join our growing AI & Data Science team. In this role, you will lead projects and collaborate with cross-functional teams to build and deploy cutting-edge machine learning solutions that drive business value. Skills required: Minimum 5+ years of experience in data science, with at least 2 years in a leadership or team management role. Proficiency in Natural Language Processing (NLP) techniques such as LDA, embeddings, Retrieval-Augmented Generation (RAG). Experience in time series forecasting, statistical modeling, and predictive analytics. Hands-on experience with Databricks, Azure ML stack, Python, and Django. Solid understanding of end-to-end data science workflows, from data engineering to model deployment. Ability to collaborate across diverse teams and communicate technical concepts clearly to stakeholders. Responsibilities: Build and deploy end-to-end ML pipelines, including data preprocessing, model training, and production deployment. Implement supervised, unsupervised, and deep learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Collaborate with data scientists and engineers to integrate ML models into production systems. Use MLOps tools like MLflow or Kubeflow for CI/CD and model lifecycle management. Monitor and optimize deployed models for performance and scalability. Stay updated on ML advancements and contribute to innovation within the team. Shift timings General shift Location Pune-Kalyani Nagar Its good to have: 60% & above in any two of the following and 55% & above in the third Secondary, Higher Secondary (or it s equivalent) and Graduation level (aggregate) Strong Communication & interpersonal Skills.

You will be joining an Unicorn in Pune(B2B) as a ML Engineer/Data Scientist in their Data Engineering Team, developing products in the field of ML & AI. The ideal candidate should have 3 to 7 years of experience and possess strong skills in Python along with libraries like Pandas, NumPy, and SciPy. Proficiency in ML frameworks such as Scikit-learn, TensorFlow, and PyTorch is a must. Additionally, hands-on experience or knowledge in LLMs, tools like GIT, NLP, Langchain, ML Pipeline & Workflows, and various ML Frameworks will be highly valued in this role. If you are interested in this exciting opportunity, please reach out to sathishar@pyforhr.com for further details and consideration.,

As a Software Engineer at Google, you will play a vital role in developing cutting-edge technologies that shape how billions of users connect, explore, and engage with information and each other. The scope of our products transcends beyond web search, requiring solutions that operate at massive scale. We seek innovative engineers who can contribute fresh perspectives across various domains, including information retrieval, distributed computing, system design, networking, security, artificial intelligence, natural language processing, UI design, and mobile technology. Your responsibilities will involve working on pivotal projects essential for Google's operations, with the flexibility to switch between teams and projects as both you and the dynamic business landscape evolve rapidly. We value engineers who demonstrate versatility, leadership skills, and a proactive approach to tackling new challenges across the entire technology stack. In this position, your primary focus will be on addressing the data, reporting, and analytics requirements of Google employees. You will lead impactful initiatives to develop data management and investigative solutions for our partners within Google, design and maintain logical and physical database structures, and uphold data integrity by implementing robust security measures to ensure the highest levels of confidentiality. Collaborating with internal teams, you will design and implement solutions to streamline internal business processes, adhere to best development practices, integrate third-party products with internal systems, and deliver technical solutions encompassing design, development, configuration, testing, issue resolution, and the creation of clean, modular code that is sustainable in the long term. At Corp Eng, we are dedicated to building enterprise solutions that enhance Google's accessibility for all users. As the IT arm of Google, we provide comprehensive solutions for various organizations within the company. With an inclusive approach, we deliver tailored tools, platforms, and experiences to empower all Google employees in creating more user-friendly products and services for the global community. In essence, we are Google's support system for its own employees. Your responsibilities will include: - Developing data integration and pipeline solutions using technologies like Kafka, Spark, Airflow, or similar tools. - Collaborating effectively across different Product Areas, fostering relationships, and achieving shared goals.,

Aithon Solutions is a dynamic organization specializing in operations and technology solutions for the alternative asset management sector. With a focus on re-engineering operations and utilizing new age technology, Aithon provides innovative solutions to entities in the rapidly growing funds market, ensuring readiness for the future. Our team consists of seasoned professionals with a successful history of developing companies, bringing immense value to clients and stakeholders through their expertise. As the Senior Engineering Lead at Aithon Solutions, you will play a pivotal role in overseeing the complete development process of our Generative AI products. Your responsibilities will include ensuring scalability, performance, and fostering innovation within the team. You will be instrumental in driving engineering excellence, collaborating with various departments, and nurturing a culture of high performance within the engineering team. This role demands a profound understanding of AI/ML, proficiency in Python coding, expertise in distributed systems, cloud architectures, and familiarity with modern software engineering practices. Hands-on experience in coding is essential for this role. Key Responsibilities: 1. **Technical Leadership & Strategy:** Define and implement the technology roadmap for Generative AI products, ensuring alignment with organizational objectives. 2. **AI/ML Product Development:** Lead the creation of AI-powered products, optimizing models for enhanced performance, scalability, and real-world applicability. 3. **Engineering Excellence:** Establish best practices in software development, DevOps, MLOps, and cloud-native architectures. 4. **Team Leadership & Scaling:** Recruit, mentor, and supervise a top-performing engineering team, cultivating a culture of innovation and collaboration. 5. **Cross-Functional Collaboration:** Collaborate closely with Product, Data Science, and Business teams to translate AI research into practical applications. 6. **Scalability & Performance Optimization:** Design and enhance distributed systems, ensuring efficient deployment of AI models across cloud and edge environments. 7. **Security & Compliance:** Implement industry best practices for AI ethics, data security, and regulatory compliance. Qualifications & Skills: - 12+ years of software engineering experience, including a minimum of 3 years in leadership roles within AI-driven companies. - Profound expertise in Generative AI, Deep Learning, NLP, Computer Vision, and model deployment. - Proficiency in Python coding. - Experience with ML frameworks and cloud platforms (AWS, GCP, Azure). - Demonstrated ability to scale AI/ML infrastructure and optimize models for performance and cost-efficiency. - Thorough understanding of distributed systems, cloud-native architectures, and microservices. - Hands-on experience with MLOps, CI/CD, and DevOps practices. - Strong problem-solving, strategic thinking, and stakeholder management abilities. - Capability to attract, develop, and retain top engineering talent in a competitive market. Why Join Us - Lead a team at the forefront of Generative AI innovation. - Work on scalable, high-impact AI products shaping the future of technology. - Opportunity to be part of an entrepreneurial culture that nurtures creativity, innovation, and teamwork. - Collaborate with a high-caliber and collaborative team.,

As a Staff Software Development Engineer in System Optimization at Netradyne, you will be responsible for implementing and evolving processes to ensure the efficient and high-performance operation of our in-house designed driver monitoring and assistance technology. Your key responsibilities will include crafting and developing tools, frameworks, and reporting mechanisms for system optimization, streamlining software deployment across IoT devices, enhancing data platforms, and optimizing machine learning models deployed on the platform. Additionally, you will be improving driver monitoring and assistance algorithms to boost system efficiency, managing production inquiries, and ensuring overall application stability in production environments. Your role will also involve effectively conveying highly technical results to diverse audiences. To excel in this role, you should hold a B.E/B.Tech or M.E/M.Tech degree with a minimum of 6+ years of experience in software system optimization. You should possess exceptional attention to detail, strong analytical skills, and a creative mindset dedicated to achieving optimal system performance. Proficiency in programming languages such as C/C++, OpenGL, CUDA, and Python is required, along with a solid grasp of basic statistics, probability, and concepts in machine learning (ML) and computer vision (CV). Experience with ML frameworks like Caffe, TensorRT, OpenCL, SNPE, OpenVino, and ONNX, as well as expertise in embedded platforms, make files, build systems, and familiarity with Jenkins, will be valuable assets in this role. Netradyne is actively seeking talented engineers to join our Analytics team, particularly individuals with a strong educational background and past experience in IoT-related companies. If you have prior experience in IoT-related fields and are passionate about optimizing systems and software development, we encourage you to apply and be a part of our innovative team. Join us as a Staff Software Development Engineer in System Optimization and play a pivotal role in enhancing the efficiency and performance of our cutting-edge technology.,

You will join our digital transformation team as a CDP & Marketing Analytics Specialist, bringing your expertise in Customer Data Platforms (CDPs) and customer data management to drive data-driven decision-making and hyper-personalized marketing strategies at scale. Your responsibilities will include designing and implementing end-to-end customer data ingestion strategies, building real-time data pipelines, and developing AI/ML-driven customer segmentation models. Additionally, you will perform advanced analytics tasks such as CLV estimation, churn prediction, attribution analysis, sentiment analysis, and propensity modeling. Your role will involve designing composable CDPs using modern data platforms, deploying predictive models for automated customer service chatbots and content personalization, and implementing real-time decisioning engines for dynamic campaign execution. Collaboration with cross-functional teams and continuous monitoring and tuning of models and pipelines for optimal performance will be essential. To qualify for this role, you should hold a Bachelor's or Master's degree in computer science, Data Science, Marketing Analytics, or a related field with at least 5 years of experience in CDP implementation and marketing analytics. Proficiency in Python, SQL, and ML frameworks, as well as experience with tools like Azure Data Factory, Databricks, and Snowflake, are required. Exposure to MLOps practices, NLP techniques, and campaign attribution models will be beneficial. Preferred skills include prior experience in B2C/D2C industries such as retail, travel & hospitality, or e-commerce. If you have experience with tools like Hightouch, Segment, mParticle, or Salesforce CDP, proficiency in Python, SQL, and AI/ML frameworks, experience with Azure Data Factory, Databricks, Synapse, and Snowflake, and deploying GenAI applications, you are encouraged to apply. This is a full-time, permanent position requiring in-person work and offering the opportunity to leverage your expertise in CDPs and marketing analytics to drive impactful digital transformations.,

This is a part-time on-site role for a Freelance Visiting Faculty/Corporate Trainer specializing in Data Science and Machine Learning. You will be responsible for conducting training sessions and sharing your expertise in the field with the participants. The location for this role can be in Mumbai, Coimbatore, or Trichy. To qualify for this position, you should possess: - Proficiency in Data Science and Machine Learning concepts - Previous experience in teaching or training in the field of Data Science and Machine Learning - Strong communication and presentation skills - Expertise in relevant tools and technologies commonly used in Data Science and Machine Learning - Good knowledge of ML frameworks such as TensorFlow and PyTorch - Decent understanding of Generative AI, GAN, and LLM - Strong skills in Data Science, Machine Learning, Model deployment, and cloud platforms In terms of educational background, we are looking for candidates with a Masters of Engineering (M.Tech/ME/MS) in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, or related fields. Additionally, you should have at least 8 years of experience as an AI/ML practitioner, researcher, or corporate trainer.,

Wipro Limited is a leading technology services and consulting company dedicated to developing innovative solutions that address clients" most complex digital transformation needs. With a holistic portfolio of capabilities in consulting, design, engineering, and operations, Wipro assists clients in realizing their boldest ambitions and creating future-ready, sustainable businesses. With a workforce of over 230,000 employees and business partners spanning 65 countries, Wipro is committed to helping customers, colleagues, and communities thrive in a constantly evolving world. As a Gen AI Specialist at Wipro located in Bangalore, your primary responsibility is to develop minimum viable product (MVP) and comprehensive AI solutions that not only meet but exceed clients" expectations, thereby adding substantial value to their business. Your role involves leveraging your skills in Gen AI, AI, ML, NLP, Time Series, and Statistics to: - Develop, train, and deploy machine learning models - Process and clean large datasets - Collaborate effectively with cross-functional teams - Stay abreast of the latest AI/ML trends To excel in this role, you should possess: - Strong Python programming skills - Experience with ML frameworks such as sklearn, xgboost, TensorFlow, and PyTorch - Proficiency in Salesforce Tech, Apex, LWC, and Integration - Knowledge of ML algorithms and techniques - Strong problem-solving and analytical abilities Preferred skills include experience with cloud platforms like AWS, GCP, and Azure, as well as knowledge of MLOps practices. Your performance will be measured based on key parameters including continuous technical project management & delivery, client-centricity, and capability building & team management. As a Generative AI Specialist with 5-8 years of experience, you will play a crucial role in driving the digital transformation at Wipro while contributing to the creation of a modern and innovative work environment. Join Wipro to reinvent your world and be part of a business powered by purpose. Embrace the opportunity to constantly evolve, reinvent yourself, and realize your ambitions in a dynamic and empowering workplace. Wipro is committed to diversity and inclusion, and applications from people with disabilities are explicitly welcome.,