9506 Tensorflow Jobs - Page 2

The Computer Vision Consultant will play a pivotal role in developing and optimizing algorithms for image processing and machine learning applications. This role demands a strong background in programming, image processing techniques, and deep learning methodologies. The ideal candidate will have a demonstrated track record of utilizing various tools and libraries to enhance computer vision projects. Main Responsibilities: As a Computer Vision Consultant, your core duties will include: Developing and deploying computer vision algorithms using Python. Implementing graphical user interfaces with PyQT. Utilizing CUDA and GPUs for advanced algorithm training. Conducting image processing tasks including edge detection and camera calibration. Applying deep learning frameworks for object detection and segmentation. Key Requirements: 3 to 5 years of experience in Python programming. Proficient in OOPS concepts and threading. Hands-on experience with Numpy, Scipy, and OpenCV libraries. Familiarity with 2D/3D LIDAR data analysis. Experience with ML libraries such as TensorFlow, PyTorch, and Keras. Knowledge of object detection methods (YOLO, SSD, FRCNN, RCNN). Well-versed in semantic segmentation algorithms. Nice to Have: Experience with image transformation and stitching techniques. Other Details: This position is available for remote work and is expected to be a long-term engagement in the field of computer vision consulting, engaging with a diverse range of projects in various industries.

Company Description Optimum Data Analytics is a strategic technology partner delivering reliable turn key AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction. We bring experience and clarity to organizations, powering every human decision with analytics & AI Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives. Job Details Position : ML Engineer Experience : 6-8 years Location : Pune/Indore office Work Mode : Onsite Notice Period : Immediate Joiner – 15 days Job Summary We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow. Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills Strong programming experience in Python. Solid understanding of machine learning algorithms, model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas, NumPy, and Scikit-learn. Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers). Understanding of MLOps principles and deployment best practices. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Skills: panda,mlflow,large language models,python,mlops,pytorch,pandas,scikit-learn.,tensorflow,pyspark,scikit-learn,numpy,llms,mlfow,machine learning

Job Summary: We are seeking a Junior Faculty and Researcher - Data Science to support our ongoing research and consulting projects in AI, Data Science, and related fields. This is an excellent opportunity for recent graduates or early-career professionals who want to build a strong foundation in applied research and data-driven development. Key Responsibilities: Primary role is broken down in following 3 activities: Consulting: 30-40% Academics: 40-60% Research: 10-20% As a Consultant (30% - 40%), you'll collaborate with business groups, managing and mentoring data scientists to create cutting-edge data-driven systems. Your role involves constructing advanced analytics solutions, including prediction and recommendation systems, knowledge mining, and business automation. Effective communication of analytical results to various business disciplines is crucial. As a Researcher (10% - 20%), you'll identify problems for the betterment of society, leading Data Scientists in broad research directions using AI/ML. Constructing primary data collection strategies aligning with fields such as Business Application of AI, Environment, Public Good, Economics of Data Science and AI, Ethics, and Law in AI and Data Science. As an Academician (40%-60%), you'll teach structured classes, contribute to cutting-edge academic curriculum development, and play a central role in academic operations and learning activities. Qualities We Value: We seek candidates with a strong intuition for data, Data Science fundamentals, and an ability to engage with the external ecosystem. Problem-solving skills, adaptability, self-learning ability, and innovative thinking are essential. Excellent analytical skills, creativity, proactiveness, and effective communication are highly valued. You should be highly driven, flexible, resourceful, and a team player with strong influencing skills. Must-Have Requirements: Education in Data Science, Machine Learning, and Artificial Intelligence (degree or certification). Minimum education: Bachelor’s degree in STEM. Preferred Education: Master’s degree. Applied Data Science experience: 1 to 3 years. Hands-on experience in creating analytics solutions, including EDA and dashboarding. Experience in building data analytics models using various technologies and/or frameworks (Python, R, H2O, Keras, TensorFlow, Spark ML). Good-to-Have Requirements: Understanding of Computer Vision and Natural Language Processing techniques. Experience in Public Speaking/Teaching/Coaching in Data Science/Technology. Project Management Experience. Recommendation System Experience. Knowledge of Reinforcement Learning System Design. Job Type: Full-time Pay: ₹240,000.00 - ₹420,000.00 per year Benefits: Paid sick time Paid time off Ability to commute/relocate: Vijay Nagar, Indore, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Experience: Data science: 1 year (Required) Language: English (Required) Hindi (Required) Work Location: In person

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: Airflow, LLMs, MLOps, Generative AI, Python Netskope is Looking for: About The Role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products. We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various OLTP and analytics environments. What's In It For You You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills. What You Will Be Doing Lead the design, development, and deployment of AI/ML models for threat detection, anomaly detection, and predictive analytics in cloud and network security. Architect and implement scalable data pipelines for processing large-scale datasets from logs, network traffic, and cloud environments. Apply MLOps best practices to deploy and monitor machine learning models in production. Collaborate with cloud architects and security analysts to develop cloud-native security solutions leveraging platforms like AWS, Azure, or GCP. Build and optimize Retrieval-Augmented Generation (RAG) systems by integrating large language models (LLMs) with vector databases for real-time, context-aware applications. Analyze network traffic, log data, and other telemetry to identify and mitigate cybersecurity threats. Ensure data quality, integrity, and compliance with GDPR, HIPAA, or SOC 2 standards. Drive innovation by integrating the latest AI/ML techniques into security products and services. Mentor junior engineers and provide technical leadership across projects. Required Skills And Experience AI/ML Expertise Proficiency in advanced machine learning techniques, including neural networks (e.g., CNNs, Transformers) and anomaly detection. Experience with AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong understanding of MLOps practices and tools (e.g., MLflow, Kubeflow). Experience building and deploying Retrieval-Augmented Generation (RAG) systems, including integration with LLMs and vector databases. Data Engineering Expertise designing and optimizing ETL/ELT pipelines for large-scale data processing. Hands-on experience with big data technologies (e.g., Apache Spark, Kafka, Flink). Proficiency in working with relational and non-relational databases, including ClickHouse and BigQuery. Familiarity with vector databases such as Pinecone and PGVector and their application in RAG systems. Experience with cloud-native data tools like AWS Glue, BigQuery, or Snowflake. Cloud and Security Knowledge Strong understanding of cloud platforms (AWS, Azure, GCP) and their services. Experience with network security concepts, extended detection and response, and threat modeling. Software Engineering Proficiency in Python, Java, or Scala for data and ML solution development. Expertise in scalable system design and performance optimization for high-throughput applications. Leadership and Collaboration Proven ability to lead cross-functional teams and mentor engineers. Strong communication skills to present complex technical concepts to stakeholders. Education BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: Airflow, LLMs, MLOps, Generative AI, Python Netskope is Looking for: About The Role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products. We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various OLTP and analytics environments. What's In It For You You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills. What You Will Be Doing Lead the design, development, and deployment of AI/ML models for threat detection, anomaly detection, and predictive analytics in cloud and network security. Architect and implement scalable data pipelines for processing large-scale datasets from logs, network traffic, and cloud environments. Apply MLOps best practices to deploy and monitor machine learning models in production. Collaborate with cloud architects and security analysts to develop cloud-native security solutions leveraging platforms like AWS, Azure, or GCP. Build and optimize Retrieval-Augmented Generation (RAG) systems by integrating large language models (LLMs) with vector databases for real-time, context-aware applications. Analyze network traffic, log data, and other telemetry to identify and mitigate cybersecurity threats. Ensure data quality, integrity, and compliance with GDPR, HIPAA, or SOC 2 standards. Drive innovation by integrating the latest AI/ML techniques into security products and services. Mentor junior engineers and provide technical leadership across projects. Required Skills And Experience AI/ML Expertise Proficiency in advanced machine learning techniques, including neural networks (e.g., CNNs, Transformers) and anomaly detection. Experience with AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong understanding of MLOps practices and tools (e.g., MLflow, Kubeflow). Experience building and deploying Retrieval-Augmented Generation (RAG) systems, including integration with LLMs and vector databases. Data Engineering Expertise designing and optimizing ETL/ELT pipelines for large-scale data processing. Hands-on experience with big data technologies (e.g., Apache Spark, Kafka, Flink). Proficiency in working with relational and non-relational databases, including ClickHouse and BigQuery. Familiarity with vector databases such as Pinecone and PGVector and their application in RAG systems. Experience with cloud-native data tools like AWS Glue, BigQuery, or Snowflake. Cloud and Security Knowledge Strong understanding of cloud platforms (AWS, Azure, GCP) and their services. Experience with network security concepts, extended detection and response, and threat modeling. Software Engineering Proficiency in Python, Java, or Scala for data and ML solution development. Expertise in scalable system design and performance optimization for high-throughput applications. Leadership and Collaboration Proven ability to lead cross-functional teams and mentor engineers. Strong communication skills to present complex technical concepts to stakeholders. Education BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: Airflow, LLMs, MLOps, Generative AI, Python Netskope is Looking for: About The Role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products. We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various OLTP and analytics environments. What's In It For You You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills. What You Will Be Doing Lead the design, development, and deployment of AI/ML models for threat detection, anomaly detection, and predictive analytics in cloud and network security. Architect and implement scalable data pipelines for processing large-scale datasets from logs, network traffic, and cloud environments. Apply MLOps best practices to deploy and monitor machine learning models in production. Collaborate with cloud architects and security analysts to develop cloud-native security solutions leveraging platforms like AWS, Azure, or GCP. Build and optimize Retrieval-Augmented Generation (RAG) systems by integrating large language models (LLMs) with vector databases for real-time, context-aware applications. Analyze network traffic, log data, and other telemetry to identify and mitigate cybersecurity threats. Ensure data quality, integrity, and compliance with GDPR, HIPAA, or SOC 2 standards. Drive innovation by integrating the latest AI/ML techniques into security products and services. Mentor junior engineers and provide technical leadership across projects. Required Skills And Experience AI/ML Expertise Proficiency in advanced machine learning techniques, including neural networks (e.g., CNNs, Transformers) and anomaly detection. Experience with AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong understanding of MLOps practices and tools (e.g., MLflow, Kubeflow). Experience building and deploying Retrieval-Augmented Generation (RAG) systems, including integration with LLMs and vector databases. Data Engineering Expertise designing and optimizing ETL/ELT pipelines for large-scale data processing. Hands-on experience with big data technologies (e.g., Apache Spark, Kafka, Flink). Proficiency in working with relational and non-relational databases, including ClickHouse and BigQuery. Familiarity with vector databases such as Pinecone and PGVector and their application in RAG systems. Experience with cloud-native data tools like AWS Glue, BigQuery, or Snowflake. Cloud and Security Knowledge Strong understanding of cloud platforms (AWS, Azure, GCP) and their services. Experience with network security concepts, extended detection and response, and threat modeling. Software Engineering Proficiency in Python, Java, or Scala for data and ML solution development. Expertise in scalable system design and performance optimization for high-throughput applications. Leadership and Collaboration Proven ability to lead cross-functional teams and mentor engineers. Strong communication skills to present complex technical concepts to stakeholders. Education BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

We are hiring for a leading AI-first unicorn in India seeking a curious and analytical Data Scientist with 1-5 years of experience. This is a high-impact role where you will work with massive datasets to uncover actionable insights, build predictive models, and directly influence product strategy and business decisions. If you are passionate about using data and machine learning to solve real-world problems, this is the perfect opportunity for you. What You'll Do (Your Responsibilities): Data Analysis: Analyze large, complex datasets to extract actionable insights that drive key business decisions in product, marketing, and operations. Machine Learning: Build, train, and deploy machine learning models to solve problems like forecasting, classification, customer segmentation, and recommendation. Experimentation: Design and conduct rigorous A/B tests and other experiments to evaluate product features and strategic initiatives. Storytelling with Data: Communicate complex findings and the "story" behind the data to both technical and non-technical stakeholders through clear visualizations and reports. Collaboration: Work cross-functionally with product, engineering, and business teams to identify opportunities for leveraging data. What We're Looking For (Your Qualifications): Experience: 1-5 years of hands-on experience in a data science or analytics role. Core Skills: Strong programming skills in Python and deep proficiency in data science libraries ( Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch ). SQL Mastery: Advanced proficiency in SQL for complex data extraction, transformation, and analysis. ML & Stats: Solid understanding of machine learning algorithms, statistical principles, and data modeling techniques. Data Visualization: Experience with data visualization tools like Tableau, Power BI, or Matplotlib/Seaborn. Business Acumen: The ability to translate business problems into data science problems and vice versa. Our Unique Application Process: To fast-track your application directly to hiring managers, we use a two-step process: Submit Your Resume: On the Portal AI-Powered Interview: You will be invited to a short, recorded video interview. This is your chance to showcase your skills and personality beyond your resume.

About Us: Founded in 2008, Red & White is Gujarat's leading NSDC & ISO-certified institute, focused on industry-relevant education and global employability. Role Overview: Hiring faculty to teach AI/ML & Data Science, guide projects, mentor students, and stay updated with tech trends. Key Responsibilities: Conduct lectures on AI, Machine Learning, and Data Science. Create and update course content and projects. Guide students on practical work and research. Mentor students in academics and career planning. Stay updated with latest trends in AI/ML and Data Science. Evaluate student performance and provide feedback. Contribute to curriculum development. 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/Masters/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 Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Leave encashment Paid sick time Paid time off Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML: 1 year (Required) Data science: 1 year (Required) Location: Surat, Gujarat (Required) Work Location: In person

Senior AI/ML Engineer Company Overview At Jacav, we help businesses streamline and manage their DevOps and Microservices operations with ease. Our product, Cloud Dongle, simplifies deployment, monitoring, and management across cloud environments. Designed to support modern software development teams, it automates workflows, improves visibility, and enables faster, more reliable releases. Jacav offers tools for CI/CD, infrastructure-as-code, and real-time monitoring—all in one place. Join the growing number of teams using Jacav to take control of their DevOps and Microservices lifecycle. Position Overview We are seeking a Senior AI/ML Engineer to join our innovative team and help drive the next generation of intelligent DevOps and Microservices solutions. This role offers an exciting opportunity to work at the intersection of artificial intelligence and cloud infrastructure, developing cutting-edge AI capabilities that enhance our Cloud Dongle platform. Experience Required 5-10 years of professional experience in AI/ML engineering and software development Key Responsibilities • AI/ML Model Development : Design, develop, and deploy machine learning models to optimize DevOps workflows and enhance microservices management • Generative AI Implementation : Build and integrate generative AI solutions to automate complex operational tasks and improve user experiences • Agentic AI Systems : Develop autonomous AI agents that can make intelligent decisions within DevOps pipelines and infrastructure management • Cloud Infrastructure : Architect and implement scalable AI/ML solutions on AWS cloud platforms • API Development : Create robust, high-performance APIs using FastAPI to serve AI models and integrate with existing systems • Model Training & Optimization : Utilize TensorFlow and other frameworks to train, fine-tune, and optimize machine learning models • LLM Integration : Work with leading language models including OpenAI and Claude to enhance platform capabilities • Cross-functional Collaboration : Partner with DevOps, backend, and product teams to integrate AI solutions seamlessly into the Cloud Dongle ecosystem Required Technical Skills • Programming Languages : Advanced proficiency in Python • Machine Learning Frameworks : Strong experience with TensorFlow and modern ML libraries • Generative AI : Hands-on experience with generative AI technologies and applications • Cloud Platforms : Extensive experience with AWS services and cloud-native AI/ML solutions • Agentic AI : Experience developing autonomous AI systems and intelligent agents • LLM Integration : Practical experience with OpenAI, Claude, and other large language models • API Development : Proficiency in FastAPI and RESTful API design • DevOps Integration : Understanding of CI/CD pipelines, containerization, and infrastructure automation Preferred Qualifications • Experience with MLOps practices and model deployment at scale • Knowledge of microservices architecture and distributed systems • Familiarity with Kubernetes and container orchestration • Experience with real-time data processing and streaming • Background in infrastructure monitoring and observability • Understanding of cloud security best practices for AI/ML workloads What We Offer • Opportunity to work on cutting-edge AI/ML technologies in the DevOps space • Collaborative environment with cross-functional teams • Chance to impact the future of cloud infrastructure management • Competitive compensation and benefits package • Professional development and learning opportunities Join Jacav and help us revolutionize how teams manage their DevOps and Microservices operations through the power of artificial intelligence!

Job Description: SDE-II – Python Developer Job Title SDE-II – Python Developer Department Operations Location In-Office Employment Type Full-Time Job Summary We are looking for an experienced Python Developer to join our dynamic development team. The ideal candidate will have 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks. This role requires a strong foundation in object-oriented programming, web technologies, and collaborative software development. You will work closely with the design, frontend, and DevOps teams to deliver robust and high-performance solutions. Key Responsibilities • Develop, test, and maintain backend applications using Django, Flask, or FastAPI. • Build RESTful APIs and integrate third-party services to enhance platform capabilities. • Utilize data handling libraries like Pandas and NumPy for efficient data processing. • Write clean, maintainable, and well-documented code that adheres to industry best practices. • Participate in code reviews and mentor junior developers. • Collaborate in Agile teams using Scrum or Kanban workflows. • Troubleshoot and debug production issues with a proactive and analytical approach. Required Qualifications • 2 to 5 years of experience in backend development with Python. • Proficiency in core and advanced Python concepts, including OOP and asynchronous programming. • Strong command over at least one Python framework (Django, Flask, or FastAPI). • Experience with data libraries like Pandas and NumPy. • Understanding of authentication/authorization mechanisms, middleware, and dependency injection. • Familiarity with version control systems like Git. • Comfortable working in Linux environments. Must-Have Skills • Expertise in backend Python development and web frameworks. • Strong debugging, problem-solving, and optimization skills. • Experience with API development and microservices architecture. • Deep understanding of software design principles and security best practices. Good-to-Have Skills • Experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs). • Exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). • Knowledge of containerization tools (Docker, Kubernetes). • Familiarity with web servers (e.g., Apache, Nginx) and deployment architectures. • Understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO). • Familiarity with Agile practices and tools like Jira or Trello. • Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure). Company Overview We specialize in delivering cutting-edge solutions in custom software, web, and AI development. Our work culture is a unique blend of in-office and remote collaboration, prioritizing our employees above everything else. At our company, you’ll find an environment where continuous learning, leadership opportunities, and mutual respect thrive. We are proud to foster a culture where individuals are valued, encouraged to evolve, and supported in achieving their fullest potential. Benefits and Perks • Competitive Salary: Earn up to ₹6 –10 LPA based on skills and experience. • Generous Time Off: Benefit from 18 annual holidays to maintain a healthy work-life balance. • Continuous Learning: Access extensive learning opportunities while working on cutting-edge projects. • Client Exposure: Gain valuable experience in client-facing roles to enhance your professional growth.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Team Summary Visa Consulting and Analytics (VCA) drives tangible, impactful and financial results for Visa’s network clients, including both financial services and merchants. Drawing on our expertise in strategy consulting, data analytics, brand management, marketing, operational and macroeconomics, Visa Consulting and Analytics solves the most strategic problems for our clients. The India & South Asia (INSA) Consulting Market team within Visa Consulting & Analytics provides consulting and solution services for Visa’s largest issuers in India, Sri Lanka, Bangladesh, Nepal, Bhutan & Maldives. We apply deep expertise in the payments industry to provide solutions to assist clients with their key business priorities, drive growth and improve profitability. The VCA team provides a comprehensive range of consulting services to deliver solutions that address unique challenges in areas such as improving profitability, strategic growth, customer experience, digital payments and running risk. The individual will be part of VCA Data Science geographic team cluster of India and South Asia (INSA) markets and will be responsible for sales and delivery of data science and analytics based solutions to Visa Clients. What the Director Data Science, Visa Consulting & Analytics does at Visa: The Director, Data Science at Visa Consulting & Analytics (VCA) blends technical expertise with business acumen to deliver impactful, data-driven solutions to Visa’s clients, shaping the future of payments through analytics and innovation. This role combines hands-on modeling with strategic leadership, leading the adoption of Generative AI (Gen AI) and Agentic AI into Visa’s offerings. This is onsite role based out of Mumbai. The role will require travel. Key Responsibilities Commercial Acumen/Business Development Collaborate with internal and external clients to comprehend their strategic business inquiries, leading project scoping and design to effectively address those questions by leveraging Visa's data. Drive revenue outcomes for VCA, particularly focusing on data science offerings such as ML Model solutions , data collaboration, and managed service verticals within data science. Technical Leadership Design, develop, and implement advanced analytics and machine learning models to solve complex business challenges for Visa’s clients leveraging Visanet data as well as Client Data Drive the integration and adoption of Gen AI and Agentic AI technologies within Visa’s data science offerings. Ensure the quality, performance, and scalability of data-driven solutions. Strategic Business Impact Translate client needs and business challenges into actionable data science projects that deliver measurable value. Collaborate with cross-functional teams including Consulting, Sales, Product, and Data Engineering to align analytics solutions with business objectives. Present insights and recommendations to both technical and non-technical stakeholders. Team Leadership & Development Mentor and manage a team of data scientists and analysts, fostering a culture of innovation, collaboration, and continuous learning. Set priorities, provide technical direction, and oversee the end-to-end delivery of analytics projects. Innovation & Best Practices Stay abreast of emerging trends in AI and data science, particularly in Gen AI and Agentic AI. Champion the adoption of new methodologies and tools to enhance Visa’s analytics capabilities and value to clients. Represent VCA as a thought leader in internal and external forums. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: • Advanced degree (MS/PhD) in Computer Science, Statistics, Mathematics, Engineering, or a related filed from Tier-1 institute e.g. IIT, ISI, DSE, IISc, etc. • 12+ years of experience in data science, analytics, or related fields, including 3 + years in a leadership/management role. • Proven track record of building and leading high-performing data science teams. • Expertise in statistical analysis, machine learning, data mining, and predictive modeling. • Proficiency in programming languages such as Python, R, or Scala, and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Excellent communication, presentation, and stakeholder management skills. Preferred Qualifications: • Exposure/prior work experience in payments and/or banking industry • Experience in consulting space or matrix team structure • Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop). • Publication or conference experience in the data science/AI community. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Location- Gurgaon/ Bangalore We’re looking for a seasoned AI & CX Lead with 8–10 years of experience in designing and delivering AI-driven solutions across industries. This role requires a hands-on expert who can guide teams, drive strategy, and architect scalable systems using advanced AI/ML and GenAI models. Key Skills & Experience: 8–10 years of experience in AI/ML solution architecture Strong in Python, TensorFlow, PyTorch, Scikit-learn Deep knowledge of NLP, Computer Vision, Generative AI, LLMs Experience with cloud platforms (AWS, Azure, GCP) and MLOps pipelines Familiarity with Prompt Engineering, RAG , and Agentic AI frameworks Ability to lead technical teams and collaborate with stakeholders Strong communication, documentation, and solutioning skills Preferred: Experience in deploying AI models at scale Prior consulting/freelance experience Exposure to AI compliance, ethics, and responsible AI practices

Role Overview: We are seeking a highly motivated Senior Developer with 7+ years of experience in Full Stack Development to join our team and help build intelligent, scalable web applications. This role blends software engineering with cutting-edge AI/ML integration, offering an exciting opportunity to work on impactful projects in a fast-paced environment. Key Responsibilities: Design, develop, and maintain robust web applications using Python, Django, and Flask. Integrate AI/ML models into production environments, ensuring performance and scalability. Write high-quality, reusable code and implement best practices for development and deployment. Collaborate with data scientists and engineers to translate business requirements into technical solutions. Debug, test, and optimize applications for improved performance and reliability. Contribute to system architecture discussions and propose enhancements. Mentor junior developers (if applicable) and actively participate in code reviews. Stay abreast of advancements in AI, web frameworks, and related technologies. Required Qualifications: 7+ years of professional experience in Software Development. (with focus in Python preferred) Proven expertise in building applications with Django and Flask frameworks. Hands-on experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and model deployment. Strong understanding of RESTful APIs, databases (e.g., PostgreSQL, MongoDB), and ORM tools. Proficiency with version control systems like Git. Ability to work independently and manage tasks with minimal supervision. Excellent problem-solving skills and attention to detail. Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). Preferred Qualifications: Experience with containerization tools like Docker or Kubernetes. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for deploying applications. Knowledge of front-end technologies (e.g., HTML, CSS, JavaScript) is a plus. Contributions to open-source projects or a strong GitHub portfolio.

We are looking for an experienced Python Developer to join our dynamic development team. The ideal candidate will have 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks. This role requires a strong foundation in object-oriented programming, web technologies, and collaborative software development. You will work closely with the design, frontend, and DevOps teams to deliver robust and high-performance solutions. Key Responsibilities • Develop, test, and maintain backend applications using Django, Flask, or FastAPI. • Build RESTful APIs and integrate third-party services to enhance platform capabilities. • Utilize data handling libraries like Pandas and NumPy for efficient data processing. • Write clean, maintainable, and well-documented code that adheres to industry best practices. • Participate in code reviews and mentor junior developers. • Collaborate in Agile teams using Scrum or Kanban workflows. • Troubleshoot and debug production issues with a proactive and analytical approach. Required Qualifications • 2 to 5 years of experience in backend development with Python. • Proficiency in core and advanced Python concepts, including OOP and asynchronous programming. • Strong command over at least one Python framework (Django, Flask, or FastAPI). • Experience with data libraries like Pandas and NumPy. • Understanding of authentication/authorization mechanisms, middleware, and dependency injection. • Familiarity with version control systems like Git. • Comfortable working in Linux environments. Must-Have Skills • Expertise in backend Python development and web frameworks. • Experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs). • Strong debugging, problem-solving, and optimization skills. • Experience with API development and micro services architecture. • Deep understanding of software design principles and security best practices. Good-to-Have Skills • Exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). • Knowledge of containerization tools (Docker, Kubernetes). • Familiarity with web servers (e.g., Apache, Nginx) and deployment architectures. • Understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO ). • Familiarity with Agile practices and tools like Jira or Trello. • Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure).

We are looking for a highly skilled Sr. Python Developer with strong expertise in Python frameworks and experience in AI/ML model development . The ideal candidate should be passionate about building scalable applications, working with data-driven systems, and implementing intelligent solutions. Design, develop, and maintain scalable Python applications. Work with Python frameworks (e.g., Django, Flask, FastAPI). Develop and integrate AI/ML models into production systems. Write clean, efficient, and reusable code following best practices. Collaborate with cross-functional teams (Data Scientists, DevOps, Frontend, etc.). Debug, optimize, and ensure high performance of applications. Stay updated with emerging technologies in AI/ML and Python ecosystem. Required Skills & Qualifications 3 – 5 years of professional experience in Python development. Strong knowledge of Python frameworks (Django, Flask, FastAPI). Experience with AI/ML algorithms, libraries (TensorFlow, PyTorch, Scikit-learn, etc.) . Hands-on experience with REST APIs, SQL/NoSQL databases . Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus. Good understanding of software development best practices (Agile, Git, CI/CD). Strong problem-solving skills and ability to work independently. Note: Its full time work from Office profile and job location is Silver Trade Center, Utran Surat Job Type: Full-time Pay: ₹25,000.00 - ₹75,000.00 per month Location Type: In-person Schedule: Day shift Experience: Python: 3 years (Required) AI/ML: 1 year (Required) Location: Surat, Gujarat (Required) Work Location: In person

Job Title: AI/ML Agent Developer Location: All EXL Locations Department: Artificial Intelligence & Data Science Reports To: Director of AI Engineering / Head of Intelligent Automation Position Summary: We are seeking an experienced and innovative AI/ML Agent Developer to design, develop, and deploy intelligent agents within a multi-agent orchestration framework. This role involves building autonomous agents that leverage LLMs, reinforcement learning, prompt engineering, and decision-making strategies to perform complex data and workflow tasks. You’ll work closely with cross-functional teams to operationalize AI across diverse use cases such as annotation, data quality, knowledge graph construction, and enterprise automation. Key Responsibilities: Design and implement modular, reusable AI agents capable of autonomous decision-making using LLMs, APIs, and tools like LangChain, AutoGen, or Semantic Kernel. Engineer prompt strategies for task-specific agent workflows (e.g., document classification, summarization, labeling, sentiment detection). Integrate ML models (NLP, CV, RL) into agent behavior pipelines to support inference, learning, and feedback loops. Contribute to multi-agent orchestration logic including task delegation, tool selection, message passing, and memory/state management. Collaborate with MLOps, data engineering, and product teams to deploy agents at scale in production environments. Develop and maintain agent evaluations, unit tests, and automated quality checks for reliability and interpretability. Monitor and refine agent performance using logging, observability tools, and feedback signals. Required Qualifications: Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field. 3+ years of experience in developing AI/ML systems; 1+ year in agent-based architectures or LLM-enabled automation. Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn). Experience with LLM frameworks (LangChain, AutoGen, OpenAI, Anthropic, Hugging Face Transformers). Strong grasp of NLP, prompt engineering, reinforcement learning, and decision systems. Knowledge of cloud environments (AWS, Azure, GCP) and CI/CD for AI systems. Preferred Skills: Familiarity with multi-agent frameworks and agent orchestration design patterns. Experience in building autonomous AI applications for data governance, annotation, or knowledge extraction. Background in human-in-the-loop systems, active learning, or interactive AI workflows. Understanding of vector databases (e.g., FAISS, Pinecone) and semantic search. Why Join Us: Work at the forefront of AI orchestration and intelligent agents. Collaborate with a high-performing team driving innovation in enterprise AI platforms. Opportunity to shape the future of AI-based automation in real-world domains like healthcare, finance, and unstructured data.

Kovai.co is a catalyst, sparking a revolution in the world of enterprise software and B2B SaaS, we are a technology powerhouse delivering best-in-class enterprise software and game-changing SaaS solutions across industries. At Kovai.co , we're rewriting the B2B landscape by empowering over 2,500 businesses worldwide with our award-winning SaaS solutions. Our Products: Biztalk360 Turbo360 Document360 “UK headquarters. Indian innovation. Global impact.” Our journey has been nothing short of remarkable, having witnessed exponential growth and profitability right from our inception. We are on track towards $30 million in annual revenue – and we're just getting started. Kovai.co is fueled by a tribe of thoughtful helpers, obsessed with empowering customers, uplifting colleagues, and igniting our own journeys. Redefining tech is our game. Are you in? Join Kovai.co – where passion meets purpose. What's the job: Lead SDET What you’ll do on the job: Advanced Test Automation (C# Focus): Architect and maintain enterprise-grade test automation frameworks using Selenium WebDriver (C#/.NET Core), Playwright, or Cypress, adhering to the Page Object Model (POM) design pattern. Develop reusable libraries for cross-browser testing (Chrome, Firefox, Safari) and parallel execution via Selenium Grid. Performance Testing: Design and execute performance testing strategies to assess system scalability, stability, and responsiveness. Utilize tools such as JMeter, LoadRunner, and Gatling to simulate user load and measure application performance. Analyze performance test results, identify bottlenecks, and provide optimization recommendations. Functional Testing of Enterprise Products with Customer Focus: Conduct thorough functional testing of enterprise-level products to ensure they meet customer requirements and expectations. Ensure zero defect leakage by rigorously validating new features and updates before release, with a focus on high-quality customer-centric solutions. Security Testing: Conduct vulnerability scans and penetration tests using Burp Suite or OWASP ZAP. Validate compliance with GDPR, SOC2 standards during test cycles. In-Sprint Automation: Automate test scenarios within sprint development cycles. Shift-left security and performance testing into CI/CD pipelines (Jenkins, GitHub Actions). Tooling & Framework Ownership: Architect tools for test data generation, environment provisioning, and parallel execution. Mentor teams on automation best practices. Design and implement scalable Selenium automation frameworks, leveraging Page Object Model (POM), Factory Pattern, Singleton Pattern, Fluent Interface, and other design patterns to enhance maintainability and reusability. Who'll be a good fit: Must have: Bachelor’s or master’s degree in computer science, Engineering, or a related field. 8+ years of experience in software testing, automation, and quality assurance. Strong programming experience with data structures and algorithms, enabling efficient code design and problem-solving. Expertise in C# and Selenium WebDriver (XPath/CSS locators, Page Object Model). Hands-on experience with Burp Suite, OWASP Top 10, and secure coding practices. Strong proficiency in REST/GraphQL API testing using Postman, RestSharp. Hands-on experience with performance testing tools (e.g., JMeter, LoadRunner, Gatling) and ability to analyze system performance. Familiarity with CI/CD pipelines, version control (Git), and DevOps tools (Jenkins, GitHub Actions, Azure DevOps, AWS CodePipeline, etc.). Strong understanding of Agile methodologies (Scrum/Kanban) and shift-left testing practices. Excellent problem-solving, debugging, and analytical skills. Strong communication and collaboration skills to work effectively with cross-functional teams. Good to have: Open-Source Contributions & GitHub Presence - Any active GitHub repositories or pen-source projects. Contribute to open-source testing tools and frameworks to enhance the broader QA community. Exposure to AI-Driven Testing Innovation & knowledge in tools like TensorFlow, Hugging Face, ChatGPT, GitHub Copilot for test script generation. Equal Opportunities: Kovai.co is committed to building a workforce that reflects the richness of our society. We believe in fostering a culture of belonging and respect for all. Kovai.co stands firmly against discrimination, ensuring equal opportunity for everyone to build a successful career.

Area(s) of responsibility Job Description Key Responsibilities: Design, develop, and maintain scalable, efficient, and reliable systems to support GenAI and machine learning-based applications and use cases Lead the development of data pipelines, architectures, and tools to support data-intensive projects, ensuring high performance, security, and compliance Collaborate with other stakeholders to integrate AI and ML models into production-ready systems Work closely with non-backend expert counterparts, such as data scientists and ML engineers, to ensure seamless integration of AI and ML models into backend systems Ensure high-quality code, following best practices, and adhering to industry standards and company guidelines Hard Requirements Senior backend engineer with a proven track record of owning the backend portion of projects Experience collaborating with product, project, and domain team members Strong understanding of data pipelines, architectures, and tools Proficiency in Python (ability to read, write and debug Python code with minimal guidance) Mandatory Skills Machine Learning: experience with machine learning frameworks, such as scikit-learn, TensorFlow, or PyTorch Python: proficiency in Python programming, with experience working with libraries and frameworks, such as NumPy, pandas, and Flask Natural Language Processing: experience with NLP techniques, such as text processing, sentiment analysis, and topic modeling Deep Learning: experience with deep learning frameworks, such as TensorFlow, or PyTorch Data Science: experience working with data science tools Backend: experience with backend development, including design, development, and deployment of scalable and modular systems Artificial Intelligence: experience with AI concepts, including computer vision, robotics, and expert systems Pattern Recognition: experience with pattern recognition techniques, such as clustering, classification, and regression Statistical Modeling: experience with statistical modeling, including hypothesis testing, confidence intervals, and regression analysis

Area(s) of responsibility Job Description Key Responsibilities: Design, develop, and maintain scalable, efficient, and reliable systems to support GenAI and machine learning-based applications and use cases Lead the development of data pipelines, architectures, and tools to support data-intensive projects, ensuring high performance, security, and compliance Collaborate with other stakeholders to integrate AI and ML models into production-ready systems Work closely with non-backend expert counterparts, such as data scientists and ML engineers, to ensure seamless integration of AI and ML models into backend systems Ensure high-quality code, following best practices, and adhering to industry standards and company guidelines Hard Requirements Senior backend engineer with a proven track record of owning the backend portion of projects Experience collaborating with product, project, and domain team members Strong understanding of data pipelines, architectures, and tools Proficiency in Python (ability to read, write and debug Python code with minimal guidance) Mandatory Skills Machine Learning: experience with machine learning frameworks, such as scikit-learn, TensorFlow, or PyTorch Python: proficiency in Python programming, with experience working with libraries and frameworks, such as NumPy, pandas, and Flask Natural Language Processing: experience with NLP techniques, such as text processing, sentiment analysis, and topic modeling Deep Learning: experience with deep learning frameworks, such as TensorFlow, or PyTorch Data Science: experience working with data science tools Backend: experience with backend development, including design, development, and deployment of scalable and modular systems Artificial Intelligence: experience with AI concepts, including computer vision, robotics, and expert systems Pattern Recognition: experience with pattern recognition techniques, such as clustering, classification, and regression Statistical Modeling: experience with statistical modeling, including hypothesis testing, confidence intervals, and regression analysis

About the role We’re looking for Senior Engineering Manager to lead our Data / AI Platform and MLOps teams at slice. In this role, you’ll be responsible for building and scaling a high-performing team that powers data infrastructure, real-time streaming, ML enablement, and data accessibility across the company. You'll partner closely with ML, product, platform, and analytics stakeholders to build robust systems that deliver high-quality, reliable data at scale. You will drive AI initiatives to centrally build AP platform and apps which can be leveraged by various functions like legal, CX, product in a secured manner This is a hands-on leadership role perfect for someone who enjoys solving deep technical problems while growing people and teams. What You Will Do Lead and grow the data platform pod focused on all aspects of data (batch + real-time processing, ML platform, AI tooling, Business reporting, Data products – enabling product experience through data) Maintain hands-on technical leadership - lead by example through code reviews, architecture decisions, and direct technical contribution Partner closely with product and business stakeholders to identify data-driven opportunities and translate business requirements into scalable data solutions Own the technical roadmap for our data platform including infra modernization, performance, scalability, and cost efficiency Drive the development of internal data products like self-serve data access, centralized query layers, and feature stores Build and scale ML infrastructure with MLOps best practices including automated pipelines, model monitoring, and real-time inference systems Lead AI platform development for hosting LLMs, building secure AI applications, and enabling self-service AI capabilities across the organization Implement enterprise AI governance including model security, access controls, and compliance frameworks for internal AI applications Collaborate with engineering leaders across backend, ML, and security to align on long-term data architecture Establish and enforce best practices around data governance, access controls, and data quality Ensure regulatory compliance with GDPR, PCI-DSS, SOX through automated compliance monitoring and secure data pipelines Implement real-time data processing for fraud detection and risk management with end-to-end encryption and audit trails Coach engineers and team leads through regular 1:1s, feedback, and performance conversations What You Will Need 10+ years of engineering experience, including 2+ years managing data or infra teams with proven hands-on technical leadership Strong stakeholder management skills with experience translating business requirements into data solutions and identifying product enhancement opportunities Strong technical background in data platforms, cloud infrastructure (preferably AWS), and distributed systems Experience with tools like Apache Spark, Flink, EMR, Airflow, Trino/Presto, Kafka, and Kubeflow/Ray plus modern stack: dbt, Databricks, Snowflake, Terraform Hands on experience building AI/ML platforms including MLOps tools and experience with LLM hosting, model serving, and secure AI application development Proven experience improving performance, cost, and observability in large-scale data systems Expert-level cloud platform knowledge with container orchestration (Kubernetes, Docker) and Infrastructure-as-Code Experience with real-time streaming architectures (Kafka, Redpanda, Kinesis) Understanding of AI/ML frameworks (TensorFlow, PyTorch), LLM hosting platforms, and secure AI application development patterns Comfort working in fast-paced, product-led environments with ability to balance innovation and regulatory constraints Bonus: Experience with data security and compliance (PII/PCI handling), LLM infrastructure, and fintech regulations Life at slice Life so good, you’d think we’re kidding: Competitive salaries. Period. An extensive medical insurance that looks out for our employees & their dependents. We’ll love you and take care of you, our promise. Flexible working hours. Just don’t call us at 3AM, we like our sleep schedule. Tailored vacation & leave policies so that you enjoy every important moment in your life. A reward system that celebrates hard work and milestones throughout the year. Expect a gift coming your way anytime you kill it here. Learning and upskilling opportunities. Seriously, not kidding. Good food, games, and a cool office to make you feel like home. An environment so good, you’ll forget the term “colleagues can’t be your friends”.

We are seeking a highly analytical and technically skilled Data Analyst with hands-on experience in Machine Learning to join our team. The ideal candidate will be responsible for analyzing large datasets, generating actionable insights, and building ML models to drive business solutions and innovation. Key Responsibilities: Collect, clean, and analyze structured and unstructured data from multiple sources. Develop dashboards, visualizations, and reports to communicate trends and insights to stakeholders. Identify business challenges and apply machine learning algorithms to solve them. Build, evaluate, and deploy predictive and classification models using tools like Python, R, Scikit-learn, TensorFlow, etc. Collaborate with cross-functional teams including product, marketing, and engineering to implement data-driven strategies. Optimize models for performance, accuracy, and scalability. Automate data processing and reporting workflows using scripting and cloud-based tools. Stay updated with the latest industry trends in data analytics and machine learning. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field . 2+ years of experience in data analytics and machine learning. Strong proficiency in SQL , Python (Pandas, NumPy, Scikit-learn), and data visualization tools like Tableau, Power BI , or Matplotlib/Seaborn . Experience with machine learning techniques such as regression, classification, clustering, NLP, and recommendation systems. Solid understanding of statistics, probability, and data mining concepts. Familiarity with cloud platforms like AWS, GCP, or Azure is a plus. Excellent problem-solving and communication skills. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹15,000.00 per month Ability to commute/relocate: Kalighat, Kolkata, West Bengal: Reliably commute or planning to relocate before starting work (Preferred) Language: English (Preferred) Work Location: In person

Job Description: We are looking for a Lead Generative AI Engineer with 3–5 years of experience to spearhead development of cutting-edge AI systems involving Large Language Models (LLMs) , Vision-Language Models (VLMs) , and Computer Vision (CV) . You will lead model development, fine-tuning, and optimization for text, image, and multi-modal use cases. This is a hands-on leadership role that requires a deep understanding of transformer architectures, generative model fine-tuning, prompt engineering, and deployment in production environments. Roles and Responsibilities: Lead the design, development, and fine-tuning of LLMs for tasks such as text generation, summarization, classification, Q&A, and dialogue systems. Develop and apply Vision-Language Models (VLMs) for tasks like image captioning, VQA, multi-modal retrieval, and grounding. Work on Computer Vision tasks including image generation, detection, segmentation, and manipulation using SOTA deep learning techniques. Leverage frameworks like Transformers, Diffusion Models, and CLIP to build and fine-tune multi-modal models. Fine-tune open-source LLMs and VLMs (e.g., LLaMA, Mistral, Gemma, Qwen, MiniGPT, Kosmos, etc.) using task-specific or domain-specific datasets. Design data pipelines , model training loops, and evaluation metrics for generative and multi-modal AI tasks. Optimize model performance for inference using techniques like quantization, LoRA, and efficient transformer variants. Collaborate cross-functionally with product, backend, and ML ops teams to ship models into production. Stay current with the latest research and incorporate emerging techniques into product pipelines. Requirements: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 3–5 years of hands-on experience in building, training, and deploying deep learning models, especially in LLM, VLM , and/or CV domains. Strong proficiency with Python , PyTorch (or TensorFlow), and libraries like Hugging Face Transformers, OpenCV, Datasets, LangChain, etc. Deep understanding of transformer architecture , self-attention mechanisms , tokenization , embedding , and diffusion models . Experience with LoRA , PEFT , RLHF , prompt tuning , and transfer learning techniques. Experience with multi-modal datasets and fine-tuning vision-language models (e.g., BLIP, Flamingo, MiniGPT, Kosmos, etc.). Familiarity with MLOps tools , containerization (Docker), and model deployment workflows (e.g., Triton Inference Server, TorchServe). Strong problem-solving, architectural thinking, and team mentorship skills.

Job Description: Nogiz is hiring a passionate and skilled Python Developer (AI/ML) with 3+ years of experience to join our on-site team. If you're looking to work on impactful machine learning projects, collaborate with a motivated team, and grow in a technology-first environment, we’d love to hear from you. Responsibilities & Skills: Develop and deploy AI/ML models using Python and modern frameworks. Handle data preprocessing, feature engineering, and algorithm tuning. Work closely with cross-functional teams to integrate models into live systems. Optimize model performance and scalability. Write clean, maintainable code and clear documentation. Strong understanding of Python, OOPs concepts, and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy). Experience in model evaluation and statistical analysis. Good communication skills and team collaboration. Exposure to Agile methodologies is a plus. Job Type: Full-time Pay: ₹50000 -₹80000 per month Schedule: Day shift Morning shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 3 years (Preferred) Location Mohali, Punjab (Preferred) Work Location: In person Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹75,000.00 per month Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python development: 3 years (Preferred) AI/ML: 3 years (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

Urgent Opening: Web Scraping – Data Crawling, AI/ML Location: Permanent Work From Home Job Type: Full-Time | Permanent Experience: 1.5+ Years (Preferred) About the Role We are looking for a skilled and experienced Python Developer with strong expertise in data crawling, web scraping, AI/ML, and CAPTCHA solving techniques. The ideal candidate is passionate about automation, data pipelines, and problem-solving with a deep understanding of the web ecosystem. This is a permanent remote opportunity, ideal for professionals looking to work in a flexible and innovative environment while delivering high-quality solutions in data acquisition and intelligent automation. Key Responsibilities Design and implement scalable data crawling/scraping solutions using Python. Develop tools to bypass or solve CAPTCHAs (e.g., reCAPTCHA, hCaptcha) using AI/ML or third-party APIs. Write efficient and robust data extraction and parsing logic for large-scale web data. Build and maintain AI/ML models for tasks such as image recognition, pattern detection, and anomaly detection. Optimize crawling infrastructure for speed, reliability, and anti-blocking strategies (rotating proxies, headless browsers, etc.). Integrate with APIs and databases to store, manage, and process scraped data. Monitor and troubleshoot scraping systems and adapt to changes in target websites. Collaborate with the team to define requirements, plan deliverables, and implement best practices. Required Skills & Qualifications 1.5+ years of hands-on experience with Python in web scraping/data crawling. Strong experience with Scrapy and Selenium. Deep understanding of CAPTCHA types and proven experience in solving or bypassing them. Proficient in AI/ML frameworks: TensorFlow, PyTorch, scikit-learn, or OpenCV. Experience with OCR tools (Tesseract, EasyOCR) and image pre-processing techniques. Familiarity with anti-bot techniques, headless browsers, and proxy rotation. Solid understanding of HTML, CSS, JavaScript, HTTP protocols, and website structure. Strong problem-solving skills and attention to detail. Perks & Benefits Permanent Work from Home Flexible work hours Competitive salary based on experience Opportunities for skill development and upskilling Performance-based incentives How to Apply Interested candidates can email their updated resume and portfolio (if any) to jyoti@transformez.in with the subject line: Python Developer – Data Crawling & AI.

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: 02nd August 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! 🚀