4989 Tensorflow Jobs - Page 49

AIML Lead/ Architect: JD: Design, develop, and deploy machine learning models and algorithms using Python. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with NLP frameworks and libraries (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of Gen AI/ LLMs Preferrable. Certification in AI/ML or related technologies. Show more Show less

Hello, FCM part of FTCG is one of the world’s largest travel management companies and a trusted partner for nationals and multinational companies. With a 24/7 reach in 97 countries, FCM’s flexible technology anticipates and solves client needs, supported by experts who provide in-depth local knowledge and duty of care as part of the ultimate personalised business travel experience. As part of the ASX-listed Flight Centre Travel Group, FCM delivers the best market-wide rates, unique added-value benefits, and exclusive solutions. Winner of the World's Leading Travel Management Company Award at the WTM for nine consecutive years (2019-2011), FCM is constantly transforming the business of travel through its empowered and accountable people who deliver 24/7 service and are available online and offline. FCM has won the coveted Great Place to Work certification for the fifth time ! FCM Travel India is one of India’s Top 100 Great Mid-size Workplaces 2024 and the Best in Professional Services. A leader in the travel tech space, FCM has proprietary client solutions. FCM provides specialist services via FCM Consulting and FCM Meetings & Events. Key Responsibilities Design and develop AI solutions that address real-world business challenges, ensuring alignment with strategic objectives and measurable outcomes. Work with large-scale structured and unstructured datasets, leveraging modern data frameworks, tools, and platforms. Establish and maintain robust standards for data security, privacy, and regulatory compliance across all AI and data workflows. Collaborate closely with cross-functional teams to gather requirements, share insights, and deliver high-impact solutions. Monitor and maintain production AI systems to ensure continued accuracy, scalability, and reliability over time. Stay up to date with the latest advancements in AI, machine learning, and data engineering, and apply them where relevant. Write clean, well-documented, and maintainable code, and actively contribute to team best practices and technical documentation. You'll Be Perfect For The Role If You Have Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field Strong programming skills in Python (preferred) and experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, or Hugging Face Experience designing and deploying machine learning models and AI systems in production environments Familiarity with modern data platforms and cloud services (e.g., Azure, AWS, GCP), including AutoML and MLflow Proficiency with data processing tools and frameworks (e.g., Spark, Pandas, SQL) and working with both structured and unstructured data Experience with Generative AI technologies, including prompt engineering, vector databases, and RAG (Retrieval-Augmented Generation) pipelines Solid understanding of data security, privacy, and compliance principles, with experience implementing these in real-world projects Strong problem-solving skills and ability to translate complex business problems into technical solutions Excellent communication and collaboration skills, with the ability to work effectively across technical and non-technical teams Experience with version control (e.g., Git) and agile development practices Enthusiasm for learning and applying emerging technologies in AI and machine learning Work Perks! - What’s in it for you: FCTG is renowned internationally for having amazing perks and an even better culture. We understand that our people are our most valuable asset. It is the passion and dedication of our teams that keep the company on top of the industry ladder. It’s also why we offer some great employee benefits and perks outside of the norm. You will be rewarded with competitive market salary. You will also be equipped with relevant training courses and tools to set you up for success with endless career advancement and job opportunities all over the world. Market Aligned remuneration structure and a highly competitive salary Fun and Energetic culture : At the heart of everything we do at FCM is a desire to have fun and be yourself Work life Balance : We believe in “No Leave = No Life” So have your own travel adventures with paid annual leave Great place to work - Recognized as a top workplace for 5 consecutive years, which is a testimonial of our commitment towards our people Wellbeing Focus - We take care of our employee with comprehensive medical coverage, accidental insurance, and term insurance for the well being of our people. Paternity Leave: We ensure that you can spend quality time with your growing family Travel perks : You'll have access to plenty of industry discounts to ensure you continue to broaden your horizons A career, not a job : We believe in our people brightness of future. As a high growth company, you will have the opportunity to advance your career in any direction you choose whether that is locally or globally. Reward & Recognition : Celebrate the success of yourself and others at our regular Buzz Nights and at the annual Global Gathering - You'll have to experience it to believe it! Love for travel : We were founded by people who wanted to travel and want others to do the same. That passion is something you can’t miss in our people or service. We value you... #FCMIN Flight Centre Travel Group is committed to creating an inclusive and diverse workplace that supports your unique identity to create better, safer experiences for everyone. We encourage you to come as you are; to foster inclusivity and collaboration. We celebrate you. Who We Are... Since our beginning, our vision has always been to open up the world for those who want to see. As a global travel retailer, our people come from all different backgrounds, and our connections spread to the far reaches of the globe - 20+ countries and counting! Together, we are a family (we call ourselves Flighties). We offer genuine opportunities for people to grow and evolve. We embrace new experiences, we celebrate the wins, seize all opportunities, and empower all of our people to find their Brightness of Future. We encourage you to DREAM BIG through collaboration and innovation, and make sure you are supported to make incredible ideas a reality. Together, we deliver quality, innovative solutions that delight our customers and achieve our strategic priorities. Irreverence. Ownership. Egalitarianism Show more Show less

Responsibilities: * Proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn. * Basic understanding of data structures, algorithms, & statistics. * Strong problem-solving skills and eagerness to learn. Annual bonus

Job Description Elevate your career as the Director of Machine Learning Engineering, where your technical expertise and visionary leadership will shape the future of AI and ML solutions. As a Director of Machine Learning Engineering at JPMorgan Chase within the Corporate Sector – Artificial Intelligence and Machine Learning (AIML) Data Platforms, you will lead a specialized technical area, driving impact across teams, technologies, and projects. In this role, you will leverage your deep knowledge of machine learning, software engineering, and product management to spearhead multiple complex ML projects and initiatives, serving as the primary decision-maker and a catalyst for innovation and solution delivery. You will be responsible for hiring, leading, and mentoring a team of Machine Learning and Software Engineers, focusing on best practices in ML engineering, with the goal of elevating team performance to produce high-quality, scalable ML solutions with operational excellence. You will engage deeply in technical aspects, reviewing code, mentoring engineers, troubleshooting production ML applications, and enabling new ideas through rapid prototyping. Your passion for parallel distributed computing, big data, cloud engineering, micro-services, automation, and operational excellence will be key. Job Responsibilities Lead and manage a team of machine learning engineers, ensuring the implementation, delivery, and support of high-quality ML solutions. Collaborate with product teams to deliver tailored, AI/ML-driven technology solutions. Architect and implement distributed AI/ML infrastructure, including inference, training, scheduling, orchestration, and storage. Develop advanced monitoring and management tools for high reliability and scalability in AI/ML systems. Optimize AI/ML system performance by identifying and resolving inefficiencies and bottlenecks. Drive the adoption and execution of AI/ML Platform tools across various teams. Integrate Generative AI and Classical AI within the ML Platform using state-of-the-art techniques. Lead the entire AI/ML product life cycle through planning, execution, and future development by continuously adapting, developing new AI/ML products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth. Manage, mentor, and develop a team of AI/ML professionals in a way that promotes a culture of excellence, continuous learning, and supports their professional goals. Required Qualifications, Capabilities, And Skills Formal training or certification in software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise 12+ years of experience in engineering management with a strong technical background in machine learning. Extensive hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, JAX, scikit-learn). Deep expertise in Cloud Engineering (AWS, Azure, GCP) and Distributed Micro-service architecture. Experienced with Kubernetes ecosystem, including EKS, Helm, and custom operators. Background in High Performance Computing, ML Hardware Acceleration (e.g., GPU, TPU, RDMA), or ML for Systems. Strategic thinker with the ability to craft and drive a technical vision for maximum business impact. Demonstrated leadership in working effectively with engineers, data scientists, and ML practitioners. Preferred Qualifications, Capabilities, And Skills Strong coding skills and experience in developing large-scale AI/ML systems. Proven track record in contributing to and optimizing open-source ML frameworks. Recognized thought leader within the field of machine learning. Understanding & experience of AI/ML Platforms, LLMs, GenAI, and AI Agents. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Show more Show less

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 19th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 19th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 19th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 19th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Job Title "Applied Data Scientist at Poiro, based out of Bengaluru - On-site Role" Company Details The best way to predict the future is to invent it. And the best way to invent the future is to get the best minds to work on an idea whose time has come. Poiro (poiro.ai) builds AI systems and agents to supercharge marketing workflows and bring brands closer to consumers. Poiro’s AI systems can be trained on both structured and unstructured marketing data for a brand - from social media content and e-commerce marketplace data to 1st-party customer data - to build a comprehensive knowledge representation of a brand and its category. On top of that, Poiro’s AI agents seamlessly perform data analytics & data science workflows to generate actionable insights and guide marketing execution. Leading brands are using Poiro to - ● Identify content whitespaces, through analysis of social content across their category, and generate highly engaging organic & ad content ● Get tailored creator recommendations that maximize ROI for a particular product and content brief ● Comprehensively audit a creator's on & off-platform behavior to safeguard themselves from commercial and reputation risks And for many more use cases! Poiro is a subsidiary of Evam Labs (www.evamlabs.ai) - a Singapore headquartered holding company with offices in Bangalore and San Jose, building the next generation of high impact AI powered Enterprise Solutions. From Asia, for the World. Evam Labs was founded by ex-founders, academics and investors with over a decade of experience in building data & AI products and scaling companies from 0 to IPO. The founders are IIT/IIM/CMU alumni and have cumulatively raised over $500M+, invested in 30+ startups and hold 20+ patents. The rest of the Evam team comprises alumni of IITs, IIMs, CMU, IISc, NUS with rich experience across multiple industries. Job Roles & Responsibilities - Develop and implement data-driven models using Python, TensorFlow, Large Language Models (LLM), and Scikit-learn to enhance content monetization for creators. - Collaborate with cross-functional teams to analyze and interpret large datasets using NumPy, Pandas, and PySpark. - Design and optimize machine learning algorithms and solutions to improve user engagement and revenue potential. - Explore and integrate AI technologies to support and automate creator monetization pathways. - Monitor model performance and iteratively refine based on business and technical feedback. - Stay updated with the latest advancements in AI and data science to apply innovative solutions at Poiro. Cultural Expectations - Collaborate openly with team members to enhance AI-driven creator content tools - Embrace innovation, continuously exploring and adapting to cutting-edge AI technologies - Respect diverse ideas, fostering a creative and inclusive workplace - Display a proactive mindset in problem-solving and process improvements - Communicate clearly and effectively, contributing to a positive team dynamic - Uphold accountability, meeting project deadlines with precision and reliability Hiring Process Profile Shortlisting Theory/problem-solving and coding/hands-on Resume/experience-based discussion Cultural fit with founders Show more Show less

JD: Responsibilities: Strong understanding of ML algorithms, techniques, and best practices. Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of Mlflow or Kubeflow frameworks Strong programming skills in python and Data analytical expertise Experience in building Gen AI based solutions like chatbots using RAG approaches Expertise in any of the gen ai frameworks such as Langchain/ Langgraph, autogen, crewai, etc. Requirements: Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a focus on product matching, image matching, and LLM. Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with product matching algorithms and image recognition techniques. Experience with natural language processing and large language models (LLMs) such as GPT, BERT, or similar architectures. Optimize and fine-tune models for performance and scalability. Collaborate with cross-functional teams to integrate ML solutions into products. Stay updated with the latest advancements in AI and machine learning. Role & responsibilities Preferred candidate profile

We are looking for a Senior Software Engineer – AI with 3+ years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment—fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. Roles and Responsibilities Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). Design and implement Agentic AI systems—autonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-end—from research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. Skill Set: 3–6 years of overall software development experience, with 3+ years specifically in AI/ML engineering. Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio). Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel). Experience building and deploying ML models to production environments. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts. Comfortable working in a startup-like environment—self-motivated, adaptable, and willing to take ownership. Solid understanding of API development, version control, and modern DevOps/MLOps practices. Show more Show less

Join our AI team as a Generative AI Engineer! Work on LLMs, prompt engineering, and model fine-tuning. Ideal for freshers or those with up to 2 years of experience in Python, ML, and deep learning. Passion for AI is a must!

Role: Sr Data Scientist Experience level: 5 to 7 years Location: Chennai Who are we? Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a presence in India and the UAE. Founded in 2012, our mission is to simplify the world’s choices. Our flagship platform, maya.ai , helps enterprises in Banking, Fintech, and Travel unlock the value of their data to create hyperpersonalized experiences and drive sustainable revenue streams. maya.ai is powered by four “as a Service” components – Data, Recommendation, Customer Experience, and Marketplace – that work in unison to deliver tangible business outcomes. Why Crayon? Why now? Crayon is transforming into an AI first company, and every Crayon (that’s what we call ourselves!) is undergoing a journey of upskilling and expanding their capabilities in the AI space. We're building an organization where AI is not a department—it’s a way of thinking. If you’re an engineer who’s passionate about building things, experimenting with models, and applying AI to solve real business problems, you’ll feel right at home in our AI squads. Our environment is designed to be a playground for AI practitioners, with access to meaningful data, real-world challenges, and the freedom to innovate. You won't just be writing models—you’ll be shaping Crayon’s future. Experience : 5+ years Industry : Banking, Financial Services, and AI Team : Data Science Job Overview We are seeking a Senior Data Scientist who thrives at the intersection of business and machine learning. In this role, you will develop and deploy data science models that directly drive outcomes for banking and financial institutions – from boosting sales and cross-sell opportunities to reducing attrition and churn. If you love solving real-world business problems using data and turning insights into action, this is the role for you. What You’ll Do Build and deploy machine learning and statistical models for key banking use cases: cross-sell, upsell, churn prediction, customer segmentation, lead scoring, etc. Work with large-scale structured and unstructured datasets to derive meaningful insights. Translate business problems into analytical solutions and guide clients through data-driven decision-making. Collaborate closely with product, engineering, and consulting teams to deliver production-ready models. Continuously monitor, tune, and improve model performance post-deployment. Mentor junior data scientists and contribute to internal knowledge sharing. Can you say “Yes, I have!” to the following? 5+ years of experience developing ML/AI solutions on large-scale datasets Strong academic background – B.E/B.Tech/MS in Machine Learning, Computer Science, Statistics, Applied Math, or related fields; PhD is a bonus Deep understanding of statistical models – hierarchical, stochastic, time series, survival, and econometric Expertise in at least one deep learning framework – PyTorch, TensorFlow, or MxNet Proficiency in Spark (Scala/PySpark) for large-scale data processing and designing scalable ML pipelines Experience contributing to open-source ML libraries or publishing research is a strong plus. Can you say “Yes, I will!” to the following? Innovate with AI-first thinking Champion scalable, production-grade ML solutions Collaborate across teams to deliver outcomes aligned with business value Stay curious, keep learning, and mentor junior team members Brownie points for: Alignment with The Crayon Box of Values – because while skills can be learned, values are who we are. Passion for building reusable ML components and internal tools Come play, build, and grow with us. # Let’s co-create the future of AI at Crayon . Show more Show less

Senior Data Scientist — Gen AI/ML Expert Location: Hybrid — Gurugram Company: Mechademy – Industrial Reliability & Predictive Analytics About Mechademy At Mechademy, we are redefining the future of reliability in rotating machinery with our flagship product, Turbomechanica . Built at the intersection of physics-based models, AI, and machine learning , Turbomechanica delivers prescriptive analytics that detect potential equipment issues before they escalate, maximizing uptime, extending asset life, and reducing operational risks for our industrial clients. The Role We are seeking a talented and driven Senior Data Scientist (AI/ML) with 3+ years of experience to join our AI team. You will play a critical role in building scalable ML pipelines, integrating cutting-edge language models, and developing autonomous agent-based systems that transform predictive maintenance is done for industrial equipment. This is a highly technical and hands-on role, with strong emphasis on real-world AI deployments — working directly with sensor data, time-series analytics, anomaly detection, distributed ML, and LLM-powered agentic workflows . What Makes This Role Unique Work on real-world industrial AI problems , combining physics-based models with modern ML/LLM systems. Collaborate with domain experts, engineers, and product leaders to directly impact critical industrial operations. Freedom to experiment with new tools, models, and techniques — with full ownership of your work. Help shape our technical roadmap as we scale our AI-first predictive analytics platform. Flexible hybrid work culture with high-impact visibility. Key Responsibilities Design & Develop ML Pipelines: Build scalable, production-grade ML pipelines for predictive maintenance, anomaly detection, and time-series analysis. Distributed Model Training: Leverage distributed computing frameworks (e.g. Ray, Dask, Spark, Horovod) for large-scale model training. LLM Integration & Optimization: Fine-tune, optimize, and deploy large language models (Llama, GPT, Mistral, Falcon, etc.) for applications like summarization, RAG (Retrieval-Augmented Generation), and knowledge extraction. Agent-Based AI Pipelines: Build intelligent multi-agent systems capable of reasoning, planning, and executing complex tasks via tool usage, memory, and coordination. End-to-End MLOps: Own the full ML lifecycle — from research, experimentation, deployment, monitoring to production optimization. Algorithm Development: Research, evaluate, and implement state-of-the-art ML/DL/statistical algorithms for real-world sensor data. Collaborative Development: Work closely with cross-functional teams including software engineers, domain experts, product managers, and leadership. Core Requirements 3+ years of professional experience in AI/ML, data science, or applied ML engineering. Strong hands-on experience with modern LLMs (Llama, GPT series, Mistral, Falcon, etc.), fine-tuning, prompt engineering, and RAG techniques. Familiarity with frameworks like LangChain, LlamaIndex , or equivalent for LLM application development. Practical experience in agentic AI pipelines : tool use, sequential reasoning, and multi-agent orchestration. Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and at least one deep learning framework (TensorFlow, PyTorch, or JAX). Exposure to distributed ML frameworks (Ray, Dask, Horovod, Spark ML, etc.). Experience with containerization and orchestration (Docker, Kubernetes). Strong problem-solving ability, ownership mindset, and ability to work in fast-paced startup environments. Excellent written and verbal communication skills. Bonus / Good to Have Experience with time-series data, sensor data processing, and anomaly detection. Familiarity with CI/CD pipelines and MLOps best practices. Knowledge of cloud deployment, real-time system optimization, and industrial data security standards. Prior open-source contributions or active GitHub projects. What We Offer Opportunity to work on cutting-edge technology transforming industrial AI. Direct ownership, autonomy, and visibility into product impact. Flexible hybrid work culture. Professional development budget and continuous learning opportunities. Collaborative, fast-moving, and growth-oriented team culture. Health benefits and performance-linked rewards. Potential for equity participation for high-impact contributors. Note: Title and compensation will be aligned with the candidate’s experience and potential impact. Show more Show less

Job Description Job Title – Senior Data Scientist Candidate Specification – 10+ years, Notice Period – Immediate to 30 days, Hybrid. Job Summary We are seeking a highly skilled and experienced Senior Data Scientist to join our advanced analytics team. The ideal candidate will possess strong statistical and machine learning expertise, hands-on programming skills, and the ability to transform data into actionable business insights. This role also requires domain understanding to align data science efforts with business objectives in industries such as Oil & Gas, Pharma, Automotive, Desalination, and Industrial Equipment . Primary Responsibilities Lead the design, development, and deployment of advanced machine learning and statistical models Analyze large, complex datasets to uncover trends, patterns, and actionable insights Collaborate cross-functionally with business, engineering, and domain teams to define analytical problems and deliver impactful solutions Apply deep understanding of business objectives to drive the application of data science in decision-making Ensure the quality, integrity, and governance of data used for modeling and analytics Guide junior data scientists and review code and models for scalability and accuracy Core Competencies (Primary Skills) Statistical Analysis & Mathematics Strong foundation in probability, statistics, linear algebra, and calculus Experience with hypothesis testing, A/B testing, and regression models Machine Learning & Deep Learning Proficient in supervised/unsupervised learning, ensemble techniques Hands-on experience with neural networks, NLP, and computer vision Business Acumen & Domain Knowledge Proven ability to translate business needs into data science solutions Exposure to domains such as Oil & Gas, Pharma, Automotive, Desalination, and Industrial Pumps/Motors Technical Proficiency Programming Languages: Python, R, SQL Libraries & Tools: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch Data Visualization: Matplotlib, Seaborn, Plotly, Tableau, Power BI MLOps & Deployment: Docker, Kubernetes, MLflow, Airflow Cloud & Big Data (Preferred): AWS, GCP, Azure, Spark, Hadoop, Hive, Presto Secondary Skills (Preferred) Generative AI: GPT-based models, fine-tuning, open-source LLMs, Agentic AI frameworks Project Management: Agile methodologies, sprint planning, stakeholder communication Skills Required RoleSenior Data Scientist - Contract Hiring Industry TypeIT/ Computers - Software Functional Area Required Education Bachelor Degree Employment TypeFull Time, Permanent Key Skills DEEP LEARNING MACHINE LAEARNING PYHTON S TATISTICAL ANALYSIS Other Information Job CodeGO/JC/375/2025 Recruiter NameChristopher Show more Show less

About Knowdis.ai Knowdis.ai is an AI-first company specializing in e-commerce applications. We harness the power of machine learning and AI to enhance e-commerce operations, optimize customer experiences, and drive growth. If you are passionate about AI-driven product innovation, this is the perfect opportunity to make a meaningful impact. Key Responsibilities: - Infrastructure Management: Build scalable and robust infrastructure for ML models, ensuring seamless production integration. - CI/CD Expertise: Develop and maintain CI/CD pipelines with a focus on ML model deployment. - Model Deployment and Monitoring: Deploy ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, or TensorRT and monitor their performance in production. - Collaboration: Work closely with data scientists and software engineers to transition ML models from research to production. - Security and Compliance: Uphold security protocols and ensure regulatory compliance in ML systems. Skills and Experience Required: - Proficiency in Docker and Kubernetes for containerization and orchestration. - Experience with CI/CD pipeline development and maintenance. - Experience in deploying ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, and TensorRT. - Experience with cloud platforms like AWS, Azure, and GCP. - Strong problem-solving, communication, and teamwork skills. Qualifications: - Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. - 4-6 years of experience in ML project management, with a recent focus on MLOps. Additional Competencies: - AI Technologies Deployment, Data Engineering, IT Performance, Scalability Testing, and Security Practices. SELECTION PROCESS: Interested Candidates are mandatorily required to apply through this listing on Jigya. Only applications received through Jigya will be evaluated further. Shortlisted candidates may be required to appear in an Online Assessment administered by Jigya on behalf of the Client. Candidates selected after the screening test will be interviewed by the Client Show more Show less

This is a key position supporting client organization with strong Analytics and data science capabilities. There is significant revenue and future opportunities associated with this role. Job Description: Develop and maintain data tables (management, extraction, harmonizing etc.) using GCP/ SQL/ Snowflake etc. This involves designing, implementing, and writing optimized codes, maintaining complex SQL queries to extract, transform, and load (ETL) data from various tables/sources, and ensuring data integrity and accuracy throughout the data pipeline process. Create and manage data visualizations using Tableau/Power BI. This involves designing and developing interactive dashboards and reports, ensuring visualizations are user-friendly, insightful, and aligned with business requirements, and regularly updating and maintaining dashboards to reflect the latest data and insights. Generate insights and reports to support business decision-making. This includes analyzing data trends and patterns to provide actionable insights, preparing comprehensive reports that summarize key findings and recommendations, and presenting data-driven insights to stakeholders to inform strategic decisions. Handle ad-hoc data requests and provide timely solutions. This involves responding to urgent data requests from various departments, quickly gathering, analyzing, and delivering accurate data to meet immediate business needs, and ensuring ad-hoc solutions are scalable and reusable for future requests. Collaborate with stakeholders to understand and solve open-ended questions. This includes engaging with business users to identify their data needs and challenges, working closely with cross-functional teams to develop solutions for complex, open-ended problems, and translating business questions into analytical tasks to deliver meaningful results. Design and create wireframes and mockups for data visualization projects. This involves developing wireframes and mockups to plan and communicate visualization ideas, collaborating with stakeholders to refine and finalize visualization designs, and ensuring that wireframes and mockups align with user requirements and best practices. Communicate findings and insights effectively to both technical and non-technical audiences. This includes preparing clear and concise presentations to share insights with diverse audiences, tailoring communication styles to suit the technical proficiency of the audience, and using storytelling techniques to make data insights more engaging and understandable. Perform data manipulation and analysis using Python. This includes utilizing Python libraries such as Pandas, NumPy, and SciPy for data cleaning, transformation, and analysis, developing scripts and automation tools to streamline data processing tasks, and conducting statistical analysis to generate insights from large datasets. Implement basic machine learning models using Python. This involves developing and applying basic machine learning models to enhance data analysis, using libraries such as scikit-learn and TensorFlow for model development and evaluation, and interpreting and communicating the results of machine learning models to stakeholders. Automate data processes using Python. This includes creating automation scripts to streamline repetitive data tasks, implementing scheduling and monitoring of automated processes to ensure reliability, and continuously improving automation workflows to increase efficiency. Requirements: 3 to 5 years of experience in data analysis, reporting, and visualization. This includes a proven track record of working on data projects and delivering impactful results and experience in a similar role within a fast-paced environment. Proficiency in GCP/ SQL/ Snowflake/ Python for data manipulation. This includes strong knowledge of GCP/SQL/Snowflake services and tools, advanced SQL skills for complex query writing and optimization, and expertise in Python for data analysis and automation. Strong experience with Tableau/ Power BI/ Looker Studio for data visualization. This includes demonstrated ability to create compelling and informative dashboards, and familiarity with best practices in data visualization and user experience design. Excellent communication skills, with the ability to articulate complex information clearly. This includes strong written and verbal communication skills, and the ability to explain technical concepts to non-technical stakeholders. Proven ability to solve open-ended questions and handle ad-hoc requests. This includes creative problem-solving skills and a proactive approach to challenges, and flexibility to adapt to changing priorities and urgent requests. Strong problem-solving skills and attention to detail. This includes a keen eye for detail and accuracy in data analysis and reporting, and the ability to identify and resolve data quality issues. Experience in creating wireframes a nd mockups. This includes proficiency in design tools and effectively translating ideas into visual representations. Ability to work independently and as part of a team. This includes being self-motivated and able to manage multiple tasks simultaneously and having a collaborative mindset and willingness to support team members. Location: Bangalore Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Research Engineer, Applied Research (Biotech AI – Drug Discovery) About the Company Quantiphi is an award-winning AI-first digital engineering company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Quantiphi has seen 2.5x growth YoY since its inception in 2013 to 3500+ team members globally. For more details, please visit our website or LinkedIn page. About the Applied Research Unit Applied Research is an R&D practice at Quantiphi focused on advancing the frontiers of AI technologies with Applied Machine Learning at its core. We ideate and build novel solutions to high-impact, cutting-edge challenges, with a focus on advanced prototyping and scalable proof of concepts. Within this unit, the AI-Accelerated Drug Discovery practice is a key pillar that aims to apply state-of-the-art AI methodologies to revolutionize the way new therapeutics are discovered and developed. We are committed to driving meaningful scientific breakthroughs by combining strong AI research with deep cross-disciplinary collaboration. Job Description Role Level: Research Engineer Work Location: India Resource Count: 2 The Role This is a unique opportunity to work on scientifically impactful problems at the intersection of AI and biotechnology within Quantiphi Applied Research team. In this role, you will work on the development of core AI models and algorithms aimed at accelerating the drug discovery process. The position focuses on advancing foundational AI techniques such as generative modeling, optimization, and reinforcement learning, applied to molecular and bio-pharmaceutical data. The position involves working with a diverse, lively, and proactive group of nerds who are constantly raising the bar on translating the latest AI research in Healthcare and Life Sciences into tangible reusable assets for the community. Hence this would require a high level of conceptual understanding, attention to detail and agility in terms of adaptation to new technologies. While prior experience in the biotech or life sciences domain is highly valued and will elevate the candidate profile, we are equally open to exceptional AI/ML researchers from other domains who are excited to explore and learn the nuances of this rapidly growing field . Please note: This is a core AI research role, not a software engineering or system integration position. We are particularly keen to engage with candidates focused on scientific AI innovation rather than application development or LLM/GenAI-centric workflows . Responsibilities Stay ahead of the AI research curve, focusing on foundational AI methodologies applicable to drug discovery and molecular design. Build rapid prototypes, conduct detailed experimental studies, and develop advanced AI models in areas such as generative modeling, reinforcement learning, graph-based learning, and molecular property prediction. Work closely with interdisciplinary teams including biologists, chemists, and life science domain experts to design scientifically sound AI approaches. Contribute to Quantiphi IP portfolio through the development of novel algorithms, proof of concepts, and potential publications. Drive thought leadership through documentation, knowledge dissemination, and participation in conferences, blogs, webinars, and publications. Publish Research papers in prestigious Conferences and Journals Requirements Must Have: Master’s degree, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Minimum work experience required : from new graduates to 3+ yrs of research experience post graduation (in ML research) Strong foundation in AI/ML concepts with hands-on experience in model development, experimental design, and large-scale data analysis. Excellent in-depth understanding of ML concepts and the respective underlying mathematical know-how. Working knowledge of using NLP with biological sequences. Solid research mindset with a track record of working on complex AI problems—experience with drug discovery datasets is a plus but not a prerequisite. Excellent programming skills in Python, with experience using AI/ML frameworks like PyTorch or TensorFlow. Hands-on experience in developing and deploying models with various deep learning architectures in multiple ML areas like Computer-Vision, NLP, Statistics etc Ability to independently learn new scientific domains and apply AI techniques to novel bio-pharmaceutical problems. Strong communication skills with the ability to present complex ideas in an accessible format across audiences. Ability to translate abstract highlights into understandable insights in multiple knowledge-dissemination formats like blogs, presentations, paper-publications, tutorials and webinars Good to Have: Prior exposure to molecular datasets, cheminformatics, bioinformatics, or life sciences. Hands-on experience with insilico techniques in drug discovery Hands-on experience with HPC workflows with genome datasets Familiarity with generative chemistry models, graph neural networks, reinforcement learning, or multi-objective optimization. Demonstrated industry research experience will be considered as an additional bonus. Research publications in AI/ML conferences such as NeurIPS, ICML, ICLR, or relevant bioinformatics journals Experience with cloud environments like GCP or AWS and scalable model training. Strong classical education on math/physics/mechanics/CS/Engineering concepts will also be an advantage. Why Join Us? Opportunity to work at the cutting edge of AI and biotechnology, solving problems with real-world scientific impact. Exposure to interdisciplinary teams and a culture that encourages continuous learning and exploration. Contribute to an R&D environment that values curiosity, innovation, and the advancement of AI for good. Show more Show less

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Salary - 30K CTC TO 35K CTC Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities Deliver high-quality lectures on AI, Machine Learning, and Data Science. Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Show more Show less

At GKM IT, we’re not just building tech — we’re building smart, scalable solutions that make a real impact. We’re on the lookout for a curious and driven Data Scientist - Senior I who’s excited about pushing the boundaries of what AI and machine learning can do. If you love working on real-world challenges, experimenting with the latest in generative AI, and mentoring a talented team, this role is for you. Join us to be part of a collaborative environment where your ideas are valued, your code powers innovation, and your work directly contributes to meaningful products. Requirements 3–5 years of relevant experience as a Data Scientist Design and implement machine learning systems for business use cases Conduct applied machine learning research Read and implement research papers, especially in generative AI Mentor junior and mid-level data scientists Write production-grade code using object-oriented programming principles in Python In-depth understanding of statistics and probability Advanced proficiency in Python and object-oriented programming Strong grasp of data structures and algorithms Expertise in machine learning and deep learning libraries such as Scikit-learn, Keras, TensorFlow, and PyTorch Deep understanding of supervised and unsupervised ML algorithms like Logistic/Linear Regression, Gradient Descent, Decision Trees, and SVM Knowledge of building LLM applications using frameworks like LangChain and LlamaIndex is a plus Experience with Transformer architectures and large language models is a plus Benefits We don’t just hire employees—we invest in people. At GKM IT, we’ve designed a benefits experience that’s thoughtful, supportive, and actually useful. Here’s what you can look forward to: Top-Tier Work Setup You’ll be equipped with a premium MacBook and all the accessories you need. Great tools make great work. Flexible Schedules & Remote Support Life isn’t 9-to-5. Enjoy flexible working hours, emergency work-from-home days, and utility support that makes remote life easier. Quarterly Performance Bonuses We don’t believe in waiting a whole year to celebrate your success. Perform well, and you’ll see it in your pay check—quarterly. Learning is Funded Here Conferences, courses, certifications—if it helps you grow, we’ve got your back. We even offer a dedicated educational allowance. Family-First Culture Your loved ones matter to us too. From birthday and anniversary vouchers (Amazon, BookMyShow) to maternity and paternity leaves—we’re here for life outside work. Celebrations & Gifting, The GKM IT Way Onboarding hampers, festive goodies (Diwali, Holi, New Year), and company anniversary surprises—it’s always celebration season here. Team Bonding Moments We love food, and we love people. Quarterly lunches, dinners, and fun company retreats help us stay connected beyond the screen. Healthcare That Has You Covered Enjoy comprehensive health insurance for you and your family—because peace of mind shouldn’t be optional. Extra Rewards for Extra Effort Weekend work doesn’t go unnoticed, and great referrals don’t go unrewarded. From incentives to bonuses—you’ll feel appreciated. Show more Show less

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 19th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 19th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

Job Role: Data Scientist Job Type: Full-Time Mode of work: Remote Experience: 6+ Years Key Responsibilities Analyze complex datasets to uncover insights using AI techniques. Build and deploy machine learning, deep learning, and NLP models. Collaborate with teams to understand client needs and deliver AI-powered solutions. Communicate insights clearly to various stakeholders. Continuously refine models for performance and accuracy. Stay current on AI advancements and apply them in real-world scenarios. Contribute to AI tools and infrastructure development. Qualifications Bachelor’s/Master’s in Statistics, CS, Engineering, or related field. 6+ years of experience in IT and 3+ years of hands-on experience in Data Science/AI. Strong expertise in Python (Pandas, NumPy, scikit-learn, Streamlit) and SQL. Experience with ML/DL frameworks (e.g., TensorFlow, PyTorch). Familiarity with Agile methodologies and cloud platforms (AWS, Azure, GCP). Solid communication and problem-solving skills. Knowledge of RAG implementation and AI agents is a plus. Interest or background in Corporate Finance is an added advantage. Show more Show less

Job description: AI/ML/Gen AI Technology Lead Location: Andheri, Mumbai Education: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field with substantial experience in AI/ML engineering. Job Type: Full-Time Responsibilities: 1) Experience in programming languages such as Python, R, or Java. Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of deep learning, image processing, video analytics, and NLP techniques. 2) Experience in AI/ML Model Development, Agentic AI, Image Analytics, Voice Analytics, Text Analytics, Cloud & Infrastructure, Integration & Deployment. Hands on experience on implementation of LLM Models & Generative AI. 3) Hands-on experience with cloud platforms like AWS and Azure, including: AWS: Amazon SageMaker, AWS Lambda, AWS Glue, Amazon Redshift. Azure: Azure Machine Learning, Azure Databricks, Azure Synapse Analytics, Azure Cognitive Services. If interested, please share cv on priya@hrworksindia.com

You will lead the development of a secure, performance-optimized, and cross-platform desktop proctoring application (Windows/macOS) integrated with webcam, microphone, screen capture, AI monitoring features, and a real-time violation alert system. You will also coordinate with the web development team building the admin panels. Responsibilities Develop a native cross-platform desktop application using Electron, .NET MAUI, or Qt. Implement robust lockdown features —app blocking, clipboard control, screen restrictions, remote access blocking, and offline data protection. Integrate real-time webcam, mic, and screen monitoring using system-level APIs (WebRTC/native). Develop or integrate AI modules for behavior detection: face detection, gaze tracking, object/person detection. Ensure secure authentication (username/password, 2FA), AES-256 encryption , and FERPA/GDPR compliance . Implement lightweight storage and upload strategies for logs, video, screenshots, and violation reports. Optimize for low CPU/RAM consumption on mid-range Windows/macOS devices. Collaborate with backend/API and admin panel teams (React.js, Node.js/Django). Lead debugging, testing, and deployment cycles with version control and CI/CD best practices. Ensure cross-platform stability and UI/UX consistency across macOS 12+ and Windows 10+. Qualifications 4–8 years of hands-on experience in cross-platform desktop application development . Strong command of Electron (JS/TS), .NET MAUI (C#), or Qt (C++/Python) . Experience in desktop-level video/audio/screen capture integration . Practical knowledge of integrating or building AI/ML models locally or through lightweight APIs (OpenCV, TensorFlow Lite, ONNX). Proven experience in security-first application design (encryption, access control, local storage). Experience with JWT/2FA authentication , websocket communication , and real-time data processing. Exposure to AWS S3 , encrypted file storage , and offline data handling . Familiar with agile processes, Jira/Trello, Git, and collaborative team environments. Show more Show less

Data Science @Dream Sports: Data Science at Dream Sports comprises seasoned data scientists thriving to drive value with data across all our initiatives. The team has developed state-of-the-art solutions for forecasting and optimization, data-driven risk prevention systems, Causal Inference and Recommender Systems to enhance product and user experience. We are a team of Machine Learning Scientists and Research Scientists with a portfolio of projects ranges from production ML systems that we conceptualize, build, support and innovate upon, to longer term research projects with potential game-changing impact for Dream Sports. This is a unique opportunity for highly motivated candidates to work on real-world applications of machine learning in the sports industry, with access to state-of-the-art resources, infrastructure, and data from multiple sources streaming from 250 million users and contributing to our collaboration with Columbia Dream Sports AI Innovation Center. Your Role: Executing clean experiments rigorously against pertinent performance guardrails and analysing performance metrics to infer actionable findings Developing and maintaining services with proactive monitoring and can incorporate best industry practices for optimal service quality and risk mitigation Breaking down complex projects into actionable tasks that adhere to set management practices and ensure stakeholder visibility Managing end-to-end lifecycle of large scale ML projects from data preparation, model training, deployment, monitoring, and upgradation of experiments Leveraging a strong foundation in ML, statistics, and deep learning to adeptly implement research-backed techniques for model development Staying abreast of the best ML practices and developments of the industry to mentor and guide team members Qualifiers: 3-5 years of experience in building, deploying and maintaining ML solutions Extensive experience with Python, Sql, Tensorflow/Pytorch and atleast one distributed data framework (Spark/Ray/Dask ) Working knowledge of Machine Learning, probability & statistics and Deep Learning Fundamentals Experience in designing end to end machine learning systems that work at scale About Dream Sports: Dream Sports is India’s leading sports technology company with 250 million users, housing brands such as Dream11 , the world’s largest fantasy sports platform, FanCode , a premier sports content & commerce platform and DreamSetGo , a sports experiences platform. Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’. Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ vision is to ‘Make Sports Better’ for fans through the confluence of sports and technology. For more information: https://dreamsports.group/ Dream11 is the world’s largest fantasy sports platform with 230 million users playing fantasy cricket, football, basketball & hockey on it. Dream11 is the flagship brand of Dream Sports, India’s leading Sports Technology company and has partnerships with several national & international sports bodies and cricketers. Show more Show less