1086 Keras Jobs - Page 8

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia. Job Title: AI - ML Developer Key Skills: image analytics, computer vision, and visual data processing, Python, Gen AI Job Locations: Hyderabad Experience: 6 – 10 Years Budget: 16 – 20 LPA Education Qualification : Any Graduation Work Mode: Hybrid Employment Type: Contract Notice Period: Immediate - 15 Days Interview Mode: 2 Rounds of Technical Interview + Including Client round Job Description: Key Focus Areas: · Image Analytics & Computer Vision (CV) · Machine Learning & Deep Learning · Predictive Analytics & Optimization · Generative AI (GenAI) & NLP (as secondary skills) Primary Responsibilities: · Lead and contribute to projects centered around image analytics, computer vision, and visual data processing. · Develop and deploy CV models for tasks such as object detection, image classification, pattern recognition, and anomaly detection. · Apply deep learning frameworks (e.g., TensorFlow, Keras) to solve complex visual data challenges. · Integrate multi-sensor data fusion and multivariate analysis for industrial applications. · Collaborate with cross-functional teams to implement predictive maintenance, fault detection, and process monitoring solutions using visual and sensor data. Mandatory Skills: · Strong hands-on experience in Computer Vision and Image Analytics. · Proficiency in Python and familiarity with AI/ML libraries such as OpenCV, TensorFlow, Keras, scikit-learn, and Matplotlib. · Solid understanding of machine learning techniques: classification, regression, clustering, anomaly detection, etc. · Experience with deep learning architectures (CNNs, autoencoders, etc.) for image-based applications. · Familiarity with Generative AI and LLMs is a plus. Desirable Skills: · Knowledge of optimization techniques and simulation modeling. · Domain experience in Oil & Gas, Desalination, Motors & Pumps, or Industrial Systems. Educational & Professional Background: · Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Electronics, Chemical preferred). · Master’s in Industrial/Manufacturing/Production Engineering is a strong plus. · Demonstrated experience in solving real-world industrial problems using data-driven approaches. Soft Skills & Attributes: · Strong analytical and problem-solving skills. · Ability to work independently and manage multiple projects. · Excellent communication and stakeholder engagement skills. · Proven thought leadership and innovation in AI/ML applications. Interested Candidates please share your CV to pnomula@people-prime.com

About the AI Pod: Join our innovative AI Pod focused on revolutionizing performance marketing creatives. Our mission is to build cutting-edge internal tools powered by Artificial Intelligence to automate the creation of high-impact marketing videos. By cutting production time, enabling creatives at scale, and boosting ROI, this pod will directly empower our marketing teams to launch faster, test more rigorously, and drive significant performance improvements across platforms like Meta and Google. Role Summary: We are looking for two skilled and passionate AI Engineers to be foundational members of our AI Pod. You will be responsible for designing, developing, and implementing the core AI and Machine Learning models and systems that power our automated video creation platform. You will work closely with other engineers and a marketing stakeholder to translate creative requirements into intelligent, scalable solutions that deliver against our ambitious goals. Key Responsibilities: Develop and implement AI/ML models and algorithms for various stages of the automated video creation pipeline, including (but not limited to) text-to-video generation, voiceover synthesis, animation sequencing, and content summarization/copy generation. Integrate with and leverage external generative AI APIs and platforms (e.g., Text-to-Video tools like Runway, Pika Labs, Kaiber; Voice Generation tools like ElevenLabs, Play.ht; Language Models like OpenAI, Claude). Design and build data pipelines to process input assets (images, text, product info) and prepare them for AI model consumption. Contribute to the development of the "Smart Creative Engine" (Phase 2), focusing on generating creative variations based on audience, placement, and messaging through intelligent automation. Optimize models and pipelines for performance, scalability, and efficiency to ensure rapid video turnaround times. Collaborate with the fullstack engineer to build robust APIs and backend services that expose AI functionalities to the frontend and potential ad platform integrations. Work closely with the Marketing Stakeholder to understand creative needs, gather feedback, and iterate on AI-generated outputs. Stay up-to-date with the latest advancements in generative AI, computer vision, natural language processing, and automated content creation. Implement best practices for model training, evaluation, deployment, and monitoring. Contribute to code reviews and maintain high code quality standards. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience. Proven experience developing and deploying AI/ML models in a production environment. Strong programming skills in Python. Proficiency with major AI/ML frameworks such as TensorFlow and/or PyTorch. Experience with libraries like Scikit-Learn, Keras, Matplotlib, SciPy, and potentially OpenCV or Tesseract. Familiarity with generative AI concepts and models (e.g., GANs, Transformers, Diffusion Models). Experience working with and integrating external APIs, particularly those related to AI/ML or content generation. Understanding of data processing, feature engineering, and model evaluation techniques. Ability to work effectively in an Agile, cross-functional team environment. Strong problem-solving skills and a creative approach to technical challenges. Bonus Points (Nice to Have): Experience with Text-to-Video generation techniques or platforms. Experience with Voice Generation (TTS) technologies or platforms. Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment and scaling. Experience with containerization (Docker) and orchestration (Kubernetes). Prior experience in the AdTech or Marketing Technology domain. Experience with workflow automation tools like Zapier or Make. Understanding of video processing techniques. What We Offer: The opportunity to be part of a foundational AI Pod with a clear mission and direct impact on business growth. Work on exciting, cutting-edge applications of generative AI in a real-world marketing context. A fast-paced, collaborative, and innovative work environment. The chance to significantly influence the technical direction and success of the AI Pod.

SynapseIndia is one of the top I.T. outsourcing companies based out of Noida with clients across the globe. We are 23+ years old organization and with expertise of more than two decades, we have worked with both large brands as well as startups. Why work with us? We are Microsoft Gold partner, Google partner, Shopify partner company with certified professionals. SynapseIndia is an MNC having clients and employees all over the world. SynapseIndia has 500 IT professionals and has plan to hire more than 500 more developers in the next 5 months. We have structured environment with industry leading CMMI level-5 compliant processes. Several IT professionals joined as developers/programmers and now they are leading a team . Salaries are always paid on time , from the time company started till date, there has never been a delay. Developers get an exposure to interact with international clients (Majorly USA clients) at a very early stage in career. Despite market conditions, we have not laid off people. We never work on holidays . This way, you can maintain your personal as well as professional life balance. Office timings are from 9:30 AM to 6:30 PM. 2nd and last Saturday of every month is off for everyone. Annual salary review – based on company and individual performance. This is permanent work from office job opportunity. Who are we looking for? Designation - Sr. Python Developer (AI ML) Experience Range - 5+ years What skills and experience are we looking for? Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. 5+ years of professional experience in Python programming with a focus on AI/ML. Strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, etc. Solid understanding of machine learning algorithms, neural networks, and deep learning. Experience with data manipulation libraries (Pandas, NumPy) and data visualization tools (Matplotlib, Seaborn). Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models using Docker, Kubernetes. Familiarity with NLP, Computer Vision, or other AI domains is a plus. Strong problem-solving skills and ability to work independently and collaboratively. Excellent communication skills. Experience with distributed computing and big data tools like Spark or Hadoop. Knowledge of MLOps best practices and tools. Familiarity with REST APIs and microservices architecture. Experience with version control systems like Git. Understanding of software development lifecycle (SDLC) and Agile methodologies. What is the work? Design, develop, and deploy machine learning models and AI algorithms using Python and relevant libraries. Collaborate with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. Optimize and scale machine learning pipelines and systems for production. Perform data preprocessing, feature engineering, and exploratory data analysis. Implement and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or similar. Conduct experiments and evaluate model performance using statistical methods. Write clean, maintainable, and well-documented code. Mentor junior developers and participate in code reviews. Stay up-to-date with the latest AI/ML research and technologies. Ensure model deployment is seamless and models are integrated with existing infrastructure.

About the Role: We are seeking a passionate Data Scientist II to join our team. You’ll work on data gathering, exploratory data analysis (EDA), feature engineering, and developing machine learning models. The role involves writing production-level code, designing and deploying algorithms, and maintaining models in live environments. You’ll also manage multiple problems, mentor junior team members, and contribute to patent or publication writing. This is the job you are searching for if you love: ● Data gathering, EDA, feature engineering, and building models ● Writing idiomatic, production-level code and deploying it in live systems ● Designing algorithms using feature engineering, statistical modeling, and ML techniques ● Maintaining and optimizing models in production ● Working on multiple problem statements simultaneously ● Managing stakeholders—both internal and external ● Writing technical documents for patents and publications ● Mentoring junior data scientists You could be the next game changer if you: ● Can define problems based on product or client requirements ● Have strong coding skills—Python preferred ● Are highly proficient in libraries like pandas, numpy, matplotlib, sklearn, seaborn, nltk, scipy, etc. ● Can process data at scale and understand distributed systems ● Have 3–6 years of experience in analytics or data science roles ● Possess strong critical and creative thinking skills ● Have hands-on experience with PyTorch, Keras, and/or TensorFlow ● Bonus: Published patents or papers in national/international peer-reviewed journals or conferences ● Bonus: Experience with Apache Spark, Hadoop, or related tools ● Bonus: Background in consumer app or product domains

Role : AI / Generative AI Engineer Location : Remote ( Pan India ). Job Type : Fulltime. NOTE : "Only immediate joiners or candidates with a notice period of 15 days or less will be considered". Overview We are seeking a highly skilled and motivated AI/Generative AI Engineer to join our innovative team. The ideal candidate will have a strong background in designing, developing, and deploying artificial intelligence and machine learning models, with a specific focus on cutting-edge Generative AI technologies. This role requires hands-on experience with one or more major cloud platforms (Google Cloud Platform GCP, Amazon Web Services AWS) and/or modern data platforms (Databricks, Snowflake). You will be instrumental in building and scaling AI solutions that drive business value and transform user experiences. Key Responsibilities Design and Development : Design, build, train, and deploy scalable and robust AI/ML models, including traditional machine learning algorithms and advanced Generative AI models (e.g., Large Language Models LLMs, diffusion models). Develop and implement algorithms for tasks such as natural language processing (NLP), text generation, image synthesis, speech recognition, and forecasting. Work extensively with LLMs, including fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and evaluating their performance. Develop and manage data pipelines for data ingestion, preprocessing, feature engineering, and model training, ensuring data quality and integrity. Platform Expertise Leverage cloud AI/ML services on GCP (e.g., Vertex AI, AutoML, BigQuery ML, Model Garden, Gemini), AWS (e.g., SageMaker, Bedrock, S3), Databricks, and/or Snowflake to build and deploy solutions. Architect and implement AI solutions ensuring scalability, reliability, security, and cost-effectiveness on the chosen platform(s). Optimize data storage, processing, and model serving components within the cloud or data platform ecosystem. MLOps And Productionization Implement MLOps best practices for model versioning, continuous integration/continuous deployment (CI/CD), monitoring, and lifecycle management. Deploy models into production environments and ensure their performance, scalability, and reliability. Monitor and optimize the performance of AI models in production, addressing issues related to accuracy, speed, and resource utilization. Collaboration And Innovation Collaborate closely with data scientists, software engineers, product managers, and business stakeholders to understand requirements, define solutions, and integrate AI capabilities into applications and workflows. Stay current with the latest advancements in AI, Generative AI, machine learning, and relevant cloud/data platform technologies. Lead and participate in the ideation and prototyping of new AI applications and systems. Ensure AI solutions adhere to ethical standards, responsible AI principles, and regulatory requirements, addressing issues like data privacy, bias, and fairness. Documentation And Communication Create and maintain comprehensive technical documentation for AI models, systems, and processes. Effectively communicate complex AI concepts and results to both technical and non-technical audiences. Required Qualifications 8+ years of experience with software development in one or more programming languages, and with data structures/algorithms/Data Architecture. 3+ years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). 3+ years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field. Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role. Strong programming skills in Python. Familiarity with other languages like Java, Scala, or R is a plus. Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning concepts (e.g., CNNs, RNNs, Transformers), and statistical modeling. Hands-on experience with developing and deploying Generative AI models and techniques, including working with Large Language Models (LLMs like GPT, BERT, LLaMA, etc.). Proficiency in using common AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Keras, Hugging Face Transformers, LangChain, etc. Demonstrable experience with at least one of the following cloud/data platforms : GCP : Experience with Vertex AI, BigQuery ML, Google Cloud Storage, and other GCP AI/ML services. AWS : Experience with SageMaker, Bedrock, S3, and other AWS AI/ML services. Databricks : Experience building and scaling AI/ML solutions on the Databricks Lakehouse Platform, including MLflow. Snowflake : Experience leveraging Snowflake for data warehousing, data engineering for AI/ML workloads, and Snowpark. Experience with data engineering, including data acquisition, cleaning, transformation, and building ETL/ELT pipelines. Knowledge of MLOps tools and practices for model deployment, monitoring, and management. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. (ref:hirist.tech)

About The Role Grade Level (for internal use): 10 Responsibilities To work closely with various stakeholders to collect, clean, model and visualise datasets. To create data driven insights by researching, designing and implementing ML models to deliver insights and implement action-oriented solutions to complex business problems To drive ground-breaking ML technology within the Modelling and Data Science team. To extract hidden value insights and enrich accuracy of the datasets. To leverage technology and automate workflows creating modernized operational processes aligning with the team strategy. To understand, implement, manage, and maintain analytical solutions & techniques independently. To collaborate and coordinate with Data, content and modelling teams and provide analytical assistance of various commodity datasets To drive and maintain high quality processes and delivering projects in collaborative Agile team environments. Requirements 7+ years of programming experience particularly in Python 4+ years of experience working with SQL or NoSQL databases. 1+ years of experience working with Pyspark. University degree in Computer Science, Engineering, Mathematics, or related disciplines. Strong understanding of big data technologies such as Hadoop, Spark, or Kafka. Demonstrated ability to design and implement end-to-end scalable and performant data pipelines. Experience with workflow management platforms like Airflow. Strong analytical and problem-solving skills. Ability to collaborate and communicate effectively with both technical and non-technical stakeholders. Experience building solutions and working in the Agile working environment Experience working with git or other source control tools Strong understanding of Object-Oriented Programming (OOP) principles and design patterns. Knowledge of clean code practices and the ability to write well-documented, modular, and reusable code. Strong focus on performance optimization and writing efficient, scalable code. Nice To Have Experience working with Oil, gas and energy markets Experience working with BI Visualization applications (e.g. Tableau, Power BI) Understanding of cloud-based services, preferably AWS Experience working with Unified analytics platforms like Databricks Experience with deep learning and related toolkits: Tensorflow, PyTorch, Keras, etc. About S&P Global Commodity Insights At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit http://www.spglobal.com/commodity-insights. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 314321 Posted On: 2025-06-19 Location: Hyderabad, Telangana, India

3 - 8 Years 2 Openings Trivandrum Role description Job Title: Senior AI/ML Engineer – Python/AI-ML Hiring Location: Across UST Locations Experience Range: 3–8 years Must-Have Skills: Strong hands-on experience in Python for AI/ML model development Expertise in Keras and Pandas Experience with Generative AI and Large Language Models (LLMs) such as GPT-3, Transformers Proficiency in building and managing data pipelines using Kafka and big data technologies Experience in Time Series modeling Knowledge of cloud platforms – AWS, Azure, or GCP (deployment, scalability, performance optimization) Familiarity with Aurora DB and ELK stack Ability to build reusable ML components for scalable systems Excellent communication skills and ability to collaborate with cross-functional teams Good-to-Have Skills: Exposure to GANs and other Generative AI frameworks Experience with synthetic data generation techniques Understanding of ML model compliance and performance benchmarking Background in mentoring junior developers or technical leadership Familiarity with model observability and monitoring tools Skills AI/ML Expertise: 5+ years of hands-on experience in AI, Machine Learning, and Generative AI Programming Proficiency: Python (4+ years), Keras (4+ years), Pandas (4+ years), FastAPI Advanced ML Models: LangChain ,GPT-3, GANs, Transformers (BERT, T5), Large Language Models (LLMs) Analytical Models: Time Series Forecasting, Predictive Modelling Databases : ChromaDB/Pinecone About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

8 - 10 Years 1 Opening Trivandrum Role description Job Title: Lead AI Engineer – Python/AI-ML Hiring Location: Across UST locations Experience Range: 8+ years Must-Have Skills: Extensive hands-on experience in Python for AI/ML development Proficiency with Keras , Pandas , and deep learning frameworks Strong expertise in Generative AI and LLM architectures (e.g., GPT-3, BERT, T5) Proven experience leading end-to-end AI/ML solution design and implementation In-depth knowledge of Time Series Forecasting , Predictive Analytics , and Deep Learning Experience building data pipelines and infrastructure using Kafka , Big Data tools , Aurora DB , and ELK Stack Experience deploying and optimizing ML models on cloud platforms (AWS, Azure, or GCP) Demonstrated leadership in guiding AI/ML teams , mentoring junior engineers, and defining best practices Strong ability to collaborate with stakeholders and translate business needs into scalable AI solutions Good-to-Have Skills: Experience with PoC creation , model experimentation , and Generative AI validations Familiarity with AI governance , ethical AI principles , and explainability frameworks Knowledge of emerging trends and tools in the AI/ML space and ability to evaluate their strategic fit Exposure to AI roadmap planning , tool selection , and platform scalability architecture Experience in cross-functional leadership and influencing executive decision-making in AI strategy Skills AI/ML Expertise: 5+ years of hands-on experience in AI, Machine Learning, and Generative AI Programming Proficiency: Python (4+ years), Keras (4+ years), Pandas (4+ years), FastAPI Advanced ML Models: LangChain ,GPT-3, GANs, Transformers (BERT, T5), Large Language Models (LLMs) Analytical Models: Time Series Forecasting, Predictive Modelling Databases : ChromaDB/Pinecone About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

3 - 8 Years 2 Openings Trivandrum Role description Job Title: Senior AI/ML Engineer – Python/AI-ML Hiring Location: Across UST Locations Experience Range: 3–8 years Must-Have Skills: Strong hands-on experience in Python for AI/ML model development Expertise in Keras and Pandas Experience with Generative AI and Large Language Models (LLMs) such as GPT-3, Transformers Proficiency in building and managing data pipelines using Kafka and big data technologies Experience in Time Series modeling Knowledge of cloud platforms – AWS, Azure, or GCP (deployment, scalability, performance optimization) Familiarity with Aurora DB and ELK stack Ability to build reusable ML components for scalable systems Excellent communication skills and ability to collaborate with cross-functional teams Good-to-Have Skills: Exposure to GANs and other Generative AI frameworks Experience with synthetic data generation techniques Understanding of ML model compliance and performance benchmarking Background in mentoring junior developers or technical leadership Familiarity with model observability and monitoring tools Skills AI/ML Expertise: 5+ years of hands-on experience in AI, Machine Learning, and Generative AI Programming Proficiency: Python (4+ years), Keras (4+ years), Pandas (4+ years), FastAPI Advanced ML Models: LangChain ,GPT-3, GANs, Transformers (BERT, T5), Large Language Models (LLMs) Analytical Models: Time Series Forecasting, Predictive Modelling Databases : ChromaDB/Pinecone About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Join our Team About this opportunity: Ericsson Enterprise Wireless Solutions (BEWS) is responsible for driving Ericsson’s Enterprise Networking and Security business. Our expanding product portfolio covers wide area networks, local area networks, and enterprise security. We are the #1 global market leader in Wireless-WAN enterprise connectivity and are rapidly growing in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions. What Will You Do: Define the Data sourcing strategy and works with partners to procure data. Supply to IP creation for Ericsson in AI/ML. Research studies and creative usage of new and/or existing data sources. Work with Data Architects to use existing data models and build new ones as needed. Work with new technologies and be the ambassador for them in MI Communities within Ericsson, nurturing the communities and mentoring junior data scientists. Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MI’s needs Present and be prominent in MI related forums and conferences, e.g., publishing patents, presenting papers, organizing sessions etc. To be successful in the role you must have: Total 6 - 9 yrs of experience with proven skills of implementing a variety of Machine Learning techniques. Solid programming skills (R/Python) with proficiency in at least one. Proven track record of leading AI/ML projects end-to-end with complete ownership. Experience in Generative AI, conversation Assistant systems. Proven skills in building AI/ML based solutions using frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc. Experience in implementing new algorithms and methodologies from leading open source initiatives and research papers. Hands-on experience in designing and building AI models using Deep Neural Networks for applicable scenarios. Able to build and deploy AI models into production with focus on scaling, monitoring and performance. Sound knowledge of building explainable models (XAI) and prescriptive analytics.

Senior Data Scientist Do you like working in collaborative teams and solving technical problems? Are you a Senior Data Scientist looking for a new challenge? Join our innovative Engineering Team! Our Industrial and Energy Technology (IET) operates across 120 countries, serving the entire energy value chain and the industrial sector. We hold an extensive portfolio of rotating equipment, process flow, transmission technology and lifecycle services. Our Engineering Transformation team works to improve the quality of our Engineering processes. Partner with the best As a Senior Data Scientist, you will collaborate within a data science or cross-functional team alongside partners at Baker Hughes. Key focus areas include Automatic Defect Recognition (ADR) and Remote Monitoring & Diagnostics (RM&D) in Non-Destructive Testing (NDT) industrial sectors. You will lead customer engagements and develop analytics aligned with business objectives to address specific needs and opportunities. As a Senior Data Scientist, you will be responsible for: Engaging with stakeholders to define analytical goals. Designing and implementing ML/computer vision models for industrial use cases. Developing reusable components for scalable solutions. Building defect detection models for visual, ultrasound, and CT/X-ray images. Using TensorFlow/PyTorch for image classification, detection, and segmentation. Applying transfer learning to enhance model performance. Building and deploying ML pipelines using Flask, FastAPI, Streamlit, Docker, etc. Using time series and predictive maintenance to forecast equipment failures. Deploying solutions on edge or cloud platforms. Documenting results in technical and validation reports. Fuel your passion To be successful in this role, you will: Have a Bachelor's, Master’s, or PhD in Computer Science or a STEM field, with 3+ years of experience in developing computer vision solutions for industrial applications. Have at least 4 years of hands-on experience with machine learning and computer vision algorithms for tasks such as object detection, recognition, tracking, and segmentation. Have proficiency in deep learning and ML libraries such as TensorFlow, PyTorch, Keras, scikit-learn, and OpenCV. Have good knowledge of Convolutional Networks and Deep Learning algorithms Have solid programming skills with Python and/or non-scripting languages Have experience in data cleansing, data quality assessment, and applying analytics on industrial datasets Have practical knowledge of time series analysis and predictive maintenance for forecasting equipment health and optimising maintenance. Have good communication skills to collaborate with stakeholders and explain technical concepts to non-technical audiences. Have experience with Docker containers & cloud deployment is a plus Have prior exposure to NDT inspection data (e.g., CT/X-ray images) is a plus. Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working with us Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other. Working for you Our inventions have revolutionised energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritise rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect: Contemporary work-life balance policies and wellbeing activities Comprehensive private medical care options Safety net of life insurance and disability programs Tailored financial programs Additional elected or voluntary benefits About Us: We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet. Join Us: Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let’s come together and take energy forward. Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Role Overview: As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that drive [specific application, e.g., predictive analytics, natural language processing, computer vision, recommendation systems, etc.]. You will collaborate closely with data scientists, software engineers, and product teams to build scalable, high-performance AI solutions. You should have a strong foundation in machine learning algorithms, data processing, and software development, along with the ability to take ownership of the full machine learning lifecycle— from data collection and model training to deployment and monitoring. Key Responsibilities: Model Development: Design and implement machine learning models for various applications, such as [insert specific use cases, e.g., predictive analytics, classification, clustering, anomaly detection, etc.]. Data Preparation & Processing: Work with large datasets, including preprocessing, feature engineering, and data augmentation to ensure high-quality input for model training. Model Training & Tuning: Train, optimize, and fine-tune models using modern machine learning frameworks and algorithms. Monitor performance metrics and adjust parameters for model improvement. Model Deployment: Deploy machine learning models into production environments using tools like Docker, Kubernetes, or cloud platforms such as AWS, Azure, or Google Cloud. Performance Monitoring & Optimization: Continuously monitor deployed models for performance, accuracy, and scalability. Implement model retraining pipelines and maintain model health. Collaboration: Work cross-functionally with data scientists, software engineers, product managers, and other stakeholders to integrate machine learning solutions into business workflows. Research & Innovation: Stay up-to-date with the latest trends and advancements in machine learning and AI to drive innovation within the company. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field. A PhD is a plus but not required. Experience: 0-1years of experience in machine learning, data science, or a related technical role. Proven experience building and deploying machine learning models in a production environment. Experience with cloud platforms (e.g., AWS, GCP, Azure) for model deployment and scalability. Technical Skills: Proficiency in Python (preferred) or other programming languages (e.g., R, Java, C++). Strong knowledge of machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Keras, or similar. Familiarity with deep learning techniques (e.g., CNNs, RNNs, transformers) is highly desirable. Experience with data processing tools such as Pandas, NumPy, and SQL. Knowledge of version control (e.g., Git), containerization (e.g., Docker), and CI/CD pipelines. Experience with big data tools and frameworks (e.g., Hadoop, Spark) is a plus. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and manage multiple priorities in a fast-paced environment. Detail-oriented and organized, with a passion for learning and innovation. Job Type: Full-time Pay: ₹5,000.00 - ₹30,000.00 per month Schedule: Day shift Work Location: In person

AI and Machine Learning Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The AI and Machine Learning Internship is crafted to provide practical exposure to building intelligent systems, enabling interns to bridge theoretical knowledge with real-world applications. Role Overview: As an AI and Machine Learning Intern, you will work on projects involving data preprocessing, model development, and performance evaluation. This internship will strengthen your skills in algorithm design, model optimization, and deploying AI solutions to solve real-world problems. Key Responsibilities: Collect, clean, and preprocess datasets for training machine learning models Implement machine learning algorithms for classification, regression, and clustering Develop deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance using metrics such as accuracy, precision, and recall Collaborate on AI-driven projects, such as chatbots, recommendation engines, or prediction systems Document code, methodologies, and results for reproducibility and knowledge sharing Qualifications: Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field Strong foundation in Python and understanding of libraries such as Scikit-learn, NumPy, Pandas, and Matplotlib Familiarity with machine learning concepts like supervised and unsupervised learning Experience or interest in deep learning frameworks (TensorFlow, Keras, PyTorch) Good problem-solving skills and a passion for AI innovation Eagerness to learn and contribute to real-world ML applications Internship Benefits: Hands-on experience with real-world AI and ML projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of AI models and machine learning solutions

Role Description Job Title: Senior AI/ML Engineer – Python/AI-ML Hiring Location: Across UST Locations Experience Range: 3–8 years Must-Have Skills Strong hands-on experience in Python for AI/ML model development Expertise in Keras and Pandas Experience with Generative AI and Large Language Models (LLMs) such as GPT-3, Transformers Proficiency in building and managing data pipelines using Kafka and big data technologies Experience in Time Series modeling Knowledge of cloud platforms – AWS, Azure, or GCP (deployment, scalability, performance optimization) Familiarity with Aurora DB and ELK stack Ability to build reusable ML components for scalable systems Excellent communication skills and ability to collaborate with cross-functional teams Good-to-Have Skills Exposure to GANs and other Generative AI frameworks Experience with synthetic data generation techniques Understanding of ML model compliance and performance benchmarking Background in mentoring junior developers or technical leadership Familiarity with model observability and monitoring tools Skills AI/ML Expertise: 5+ years of hands-on experience in AI, Machine Learning, and Generative AI Programming Proficiency: Python (4+ years), Keras (4+ years), Pandas (4+ years), FastAPI Advanced ML Models: LangChain ,GPT-3, GANs, Transformers (BERT, T5), Large Language Models (LLMs) Analytical Models: Time Series Forecasting, Predictive Modelling Databases : ChromaDB/Pinecone

Role Description Job Title: Lead AI Engineer – Python/AI-ML Hiring Location: Across UST locations Experience Range: 8+ years Must-Have Skills Extensive hands-on experience in Python for AI/ML development Proficiency with Keras, Pandas, and deep learning frameworks Strong expertise in Generative AI and LLM architectures (e.g., GPT-3, BERT, T5) Proven experience leading end-to-end AI/ML solution design and implementation In-depth knowledge of Time Series Forecasting, Predictive Analytics, and Deep Learning Experience building data pipelines and infrastructure using Kafka, Big Data tools, Aurora DB, and ELK Stack Experience deploying and optimizing ML models on cloud platforms (AWS, Azure, or GCP) Demonstrated leadership in guiding AI/ML teams, mentoring junior engineers, and defining best practices Strong ability to collaborate with stakeholders and translate business needs into scalable AI solutions Good-to-Have Skills Experience with PoC creation, model experimentation, and Generative AI validations Familiarity with AI governance, ethical AI principles, and explainability frameworks Knowledge of emerging trends and tools in the AI/ML space and ability to evaluate their strategic fit Exposure to AI roadmap planning, tool selection, and platform scalability architecture Experience in cross-functional leadership and influencing executive decision-making in AI strategy Skills AI/ML Expertise: 5+ years of hands-on experience in AI, Machine Learning, and Generative AI Programming Proficiency: Python (4+ years), Keras (4+ years), Pandas (4+ years), FastAPI Advanced ML Models: LangChain ,GPT-3, GANs, Transformers (BERT, T5), Large Language Models (LLMs) Analytical Models: Time Series Forecasting, Predictive Modelling Databases : ChromaDB/Pinecone

Role Description Job Title: Senior AI/ML Engineer – Python/AI-ML Hiring Location: Across UST Locations Experience Range: 3–8 years Must-Have Skills Strong hands-on experience in Python for AI/ML model development Expertise in Keras and Pandas Experience with Generative AI and Large Language Models (LLMs) such as GPT-3, Transformers Proficiency in building and managing data pipelines using Kafka and big data technologies Experience in Time Series modeling Knowledge of cloud platforms – AWS, Azure, or GCP (deployment, scalability, performance optimization) Familiarity with Aurora DB and ELK stack Ability to build reusable ML components for scalable systems Excellent communication skills and ability to collaborate with cross-functional teams Good-to-Have Skills Exposure to GANs and other Generative AI frameworks Experience with synthetic data generation techniques Understanding of ML model compliance and performance benchmarking Background in mentoring junior developers or technical leadership Familiarity with model observability and monitoring tools Skills AI/ML Expertise: 5+ years of hands-on experience in AI, Machine Learning, and Generative AI Programming Proficiency: Python (4+ years), Keras (4+ years), Pandas (4+ years), FastAPI Advanced ML Models: LangChain ,GPT-3, GANs, Transformers (BERT, T5), Large Language Models (LLMs) Analytical Models: Time Series Forecasting, Predictive Modelling Databases : ChromaDB/Pinecone

Role Description Job Title: Lead AI Engineer – Python/AI-ML Hiring Location: Across UST locations Experience Range: 8+ years Must-Have Skills Extensive hands-on experience in Python for AI/ML development Proficiency with Keras, Pandas, and deep learning frameworks Strong expertise in Generative AI and LLM architectures (e.g., GPT-3, BERT, T5) Proven experience leading end-to-end AI/ML solution design and implementation In-depth knowledge of Time Series Forecasting, Predictive Analytics, and Deep Learning Experience building data pipelines and infrastructure using Kafka, Big Data tools, Aurora DB, and ELK Stack Experience deploying and optimizing ML models on cloud platforms (AWS, Azure, or GCP) Demonstrated leadership in guiding AI/ML teams, mentoring junior engineers, and defining best practices Strong ability to collaborate with stakeholders and translate business needs into scalable AI solutions Good-to-Have Skills Experience with PoC creation, model experimentation, and Generative AI validations Familiarity with AI governance, ethical AI principles, and explainability frameworks Knowledge of emerging trends and tools in the AI/ML space and ability to evaluate their strategic fit Exposure to AI roadmap planning, tool selection, and platform scalability architecture Experience in cross-functional leadership and influencing executive decision-making in AI strategy Skills AI/ML Expertise: 5+ years of hands-on experience in AI, Machine Learning, and Generative AI Programming Proficiency: Python (4+ years), Keras (4+ years), Pandas (4+ years), FastAPI Advanced ML Models: LangChain ,GPT-3, GANs, Transformers (BERT, T5), Large Language Models (LLMs) Analytical Models: Time Series Forecasting, Predictive Modelling Databases : ChromaDB/Pinecone

About The Opportunity A high-growth player in the AI and technology sector, we specialize in developing advanced AI solutions that empower businesses to leverage data-driven decisions. Our team of engineers and data scientists innovate by creating intelligent applications that enhance operational efficiency and drive transformative business outcomes. We are seeking a talented AI Engineer to join our dynamic team in India, focusing on developing scalable AI models and architectures. Role & Responsibilities Design, implement, and optimize AI models and algorithms for varied applications, ensuring high performance and scalability. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications for AI solutions. Leverage large datasets to train machine learning models while ensuring data integrity and accuracy. Utilize cloud services to deploy AI models effectively, ensuring robustness and security. Perform testing and validation of AI solutions, analyzing results to continuously improve model performance. Stay updated on the latest AI developments and technologies, integrating new insights into ongoing projects. Skills & Qualifications Must-Have Strong proficiency in Python programming for AI and data manipulation. Experience in machine learning frameworks such as TensorFlow, Keras, or PyTorch. Solid understanding of algorithms and data structures applicable to AI. Proven experience with data processing libraries like Pandas and NumPy. Familiarity with deploying machine learning models to production environments. Preferred Experience with cloud services like AWS, Azure, or Google Cloud. Knowledge of statistical analysis methods and their applications in AI. Ability to integrate third-party APIs and services in AI applications. Benefits & Culture Highlights Innovative work environment fostering creativity and professional growth. Opportunities for continuous learning and skill development. Collaborative culture promoting teamwork and diversity. Skills: algorithm design,cloud services,data processing libraries (pandas, numpy),algorithms and data structures,machine learning,problem solving,statistical analysis methods,integrating third-party apis,python programming,data processing,machine learning models,cloud services (aws, azure, google cloud),model deployment,machine learning frameworks (tensorflow, keras, pytorch)

BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you're not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise.. Your Opportunit. yJoin our network as a Computer Vision Engineer and help startups build AI systems that understand, analyze, and act on visual data. From object detection and facial recognition to medical imaging and video analytics, you'll work on real-world use cases that require state-of-the-art computer vision solutions. . Role Overvi. ewAs a Computer Vision Engineer, you wil. l:Design, train, and deploy computer vision models for specific business applicatio. nsWork with image, video, or 3D data to extract insights and automate workflo. wsCollaborate with teams to integrate CV models into scalable produc. ts. What You’ll. DoBuild and fine-tune models for classification, detection, segmentation, tracking, or. OCRUse libraries like OpenCV, PyTorch, TensorFlow, Detectron2, or Y. OLOPreprocess and augment datasets to improve model robustn. essDeploy models using APIs, edge devices, or cloud-based inference to. olsMonitor performance and continuously optimize for accuracy and sp. eed. Technical Requirem. ents3+ years of experience in computer vision or deep lear. ningProficient in Python and frameworks like PyTorch, TensorFlow, or K. erasExperience with OpenCV, scikit-image, and image/video processing pipel. inesFamiliarity with model deployment using ONNX, TensorRT, or cloud serv. icesBonus: experience with real-time CV, synthetic data, or 3D vi. sion. What We’re Lookin. g ForA hands-on developer who can take vision-based problems from idea to produ. ctionA freelancer who enjoys working with data-rich products and diverse use. casesSomeone who can collaborate with both technical and product teams to deliver real i. mpact. Why J. oin UsWork on challenging computer vision projects across indu. striesFully remote and flexible freelance opportu. nitiesGet matched with future roles in CV, AI, and edge depl. oymentJoin a growing network solving real-world problems with intelligent vision s. ystems. Ready to bring vision to life? Apply now to become a Computer Vision Engineer with. BeGig.. Show more Show less

Job Title: Data Scientist. Job Type: Full-time, Contractor. Job Summary:. We are seeking an innovative and highly skilled Data Scientist to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment.. Key Responsibilities:. Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments.. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate.. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.).. Integrate NLP techniques and transformer architectures to boost customer’s product capabilities.. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements.. Write clean, efficient Python code while adhering to best practices in code quality and documentation.. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members.. Required Skills and Qualifications:. Strong programming proficiency in Python for AI/ML projects.. Hands-on experience with LLM frameworks such as LangChain or Haystack.. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate).. Deep understanding of NLP fundamentals and transformer models.. Demonstrated experience with both commercial and open-source LLMs.. Expertise in prompt engineering and embeddings.. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration.. Preferred Qualifications:. Experience deploying GenAI applications at scale in production environments.. Background in designing customer-facing AI solutions.. Prior experience collaborating in hybrid or distributed teams.. Show more Show less

Minimum qualifications:. Bachelor’s degree or equivalent practical experience.. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.. 2 years of experience with data structures or algorithms.. 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).. Preferred qualifications:. Master's degree or PhD in Computer Science or related technical fields.. Experience developing accessible technologies.. About The Job. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Write product or system development code.. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.. Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Job Summary. Member of a software engineering team involved in development & design of the AI Data Platform built on NetApp’s flagship storage operating ONTAP.. ONTAP is a feature rich stack with its rich data management capabilities that has tremendous value to our customers and are used in mission critical applications across the world. You will work as part of a team responsible for the development, testing and debugging of distributed software that drives NetApp cloud, hybrid-cloud, and on-premises AI/ML solutions.. As part of the Research and Development function, the overall focus of the group is on competitive market and customer requirements, supportability, technology advances, product quality, product cost and time-to-market. Software engineers focus on enhancements to existing products as well as new product development.. This is a mid-level technical position that requires an individual to be broad-thinking, systems-focused, creative, team-oriented, technologically savvy, able to work in a small and large cross-functional teams, willing to learn and driven to produce results.. Job Requirements. Proficiency in programming languages like GO/Golang.. Experience with Machine Learning Libraries and Frameworks: PyTorch, TensorFlow, Keras, Open AI, LLMs ( Open Source), LangChain etc.. Hands-on experience working with Rest APIs and Micro Services – Flask, API frameworks.. Experience working in Linux, AWS/Azure/GCP, Kubernetes – Control plane, Auto scaling, orchestration, containerization is a must.. Experience with No Sql Document Databases e.g., Mongo DB, Cassandra, Cosmos DB, Document DB.. Experience working building Micro Services, REST APIs and related API frameworks.. Experience with Big Data Technologies: Understanding big data technologies and platforms like Spark, Hadoop and distributed storage systems for handling large-scale datasets and parallel processing.. Proven track record of working on mid to large sized projects.. Responsible for providing support in the development and testing activities of other engineers that involve several inter-dependencies.. Participate in technical discussions within the team and across cross-functional teams.. Willing to work on additional tasks and responsibilities that will contribute towards team, department and company goals.. A strong understanding and experience with concepts related to computer architecture, data structures and programming practices.. Experience with AI/ML frameworks like PyTorch or TensorFlow is a Plus.. Education. Typically requires a minimum of 4-7 years of related experience with a bachelor’s degree or a master’s degree; or a PhD with relevant experience.. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.. Equal Opportunity Employer. NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.. Why NetApp?. We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.. We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.. If you want to help us build knowledge and solve big problems, let's talk.. Show more Show less

We aspire to be world-leader in innovative telecom and security solutions by offering cutting-edge, high-performance telecom and security solutions to business customers. Our Mission is simple. To prove that Indian engineers can design, develop, and manufacture world-class technology products for customers across the world, right from India. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Why work at Matrix Matrix fully integrates software and hardware across its products. Engineers here collaborate more effectively to create solutions that solve real problems and make an impact. We are responsible for every nut, bolt, and line of code in our products! As an engineer, your involvement will be critical in the entire lifecycle of a product - right from ideation-development-production-deployment. Get to feel the sense of accomplishment that comes with creating something that solves a real and pressing problem and is used by scores of customers. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Role SME- IVA Function Software Development - IVA / Computer Vision Work Location Vadodara, Gujarat Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products You will remain rooted as an engineer, a designer, and a technologist while leading a team.You take complete ownership of timely product delivery with impeccable software quality. You have the ability to navigate the teams through fast changing market needs. You possess strong people leadership skills in mentoring the young engineers Experience 4+ Years Qualification B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Hands on with C++, OOPS, Computer Vision, OpenCV, TensorFlow, Web Orientation, Web Development, OpenCV, Image Processing. Hands-on experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Strong programming skills using Python and C++ Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors What your day might look like (Role) The SME - Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What do we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company If you are an Innovative Tech-savvy individual. Look no further. Click on Apply and we will reach out to you soon!

Role : Data Scientist with ML Knowledge. Experience : 3-4 years. Skill Set : Data Science Machine Learning Data Modelling and Statistical Analysis Experience in Python , DBs and ML packages Experience in Flask API , Cloud services (Azure, AWS, Open AI , Gemini Flash) Experience in version control and collaborating with development teams Knowledge of Deep Learning Frameworks(Pytorch / TensorFlow etc) Responsibility Sanitize, analyze, and preprocess structured and unstructured data using tools like Pandas, NumPy, SQL, and Spark. Implement ML algorithms using Python and libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost.Perform feature engineering , model tuning, and validation to optimize model performance. Develop dashboards and reports using tools like Power BI, Tableau , or Streamlit for stakeholder communication. Continuously monitor and improve the performance of deployed models. Stay updated with the latest trends in ML/AI and bring innovative ideas to the table.

This role is for one of Weekday's clients Min Experience: 4 years JobType: full-time Requirements About the Role: We are looking for a skilled and driven Python Fullstack Developer to join our high-performing development team. In this role, you will be responsible for designing, developing, and maintaining end-to-end solutions with a strong emphasis on backend development and API integration. The ideal candidate should have deep expertise in Python along with experience in RESTful API development and proficiency in modern data science libraries such as NumPy , Pandas , TensorFlow , Keras , and Scikit-learn . As part of a dynamic product development team, you will play a key role in building scalable, reliable applications and intelligent systems that leverage machine learning and data-driven insights. You will also collaborate closely with front-end developers, data scientists, and DevOps engineers to deliver seamless user experiences and high-performance APIs. Key Responsibilities: Develop and maintain Python-based backend services, including the creation and management of RESTful APIs to serve front-end and client applications. Work closely with data scientists to integrate AI/ML models using frameworks like TensorFlow and Keras into production environments. Build robust and scalable data processing pipelines using libraries like NumPy, Pandas, and Scikit-learn. Design and implement full-stack solutions with clean, maintainable, and testable code. Optimize API performance and ensure secure and efficient data exchange between front-end and backend systems. Contribute to database schema design and optimize database queries for performance and scalability. Participate in code reviews, debugging, and troubleshooting across the stack. Collaborate with cross-functional teams including front-end developers, DevOps, and product managers to define and execute project deliverables. Stay up-to-date with industry trends and emerging technologies to ensure that our solutions are cutting-edge and competitive. Required Skills and Qualifications: 4+ years of experience as a Python Developer, with proven experience in fullstack or backend roles. Strong understanding of RESTful API design and best practices. Proficiency in Python, with in-depth knowledge of libraries such as NumPy, Pandas, TensorFlow, Keras, and Scikit-learn. Experience in developing applications that integrate data science models into production-grade systems. Familiarity with front-end technologies (HTML, CSS, JavaScript, React or similar frameworks) is a plus. Solid experience with version control tools such as Git and development workflows like Agile/Scrum. Experience working with cloud platforms such as AWS, Azure, or GCP is an advantage. Strong problem-solving skills and the ability to work independently and in a team environment. Excellent communication skills and a passion for building high-quality software.