1990 Preprocessing Jobs - Page 46

Role –Senior Gen AI Engineer Location - Kochi Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients Show more Show less

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Mid-Senior level Min Experience: 3 years Location: Bengaluru JobType: full-time We are on the lookout for a Machine Intelligence Specialist to join our forward-thinking engineering team. This role is ideal for individuals passionate about building intelligent systems that transform raw data into real-world automation through advanced natural language processing (NLP), computer vision, and machine learning technologies. You will lead initiatives involving deep learning, model deployment, and system optimization, contributing to high-impact products across domains. If you're energized by turning cutting-edge AI research into practical solutions, this is your opportunity to make a difference. Your Mission Design and Develop Intelligent Systems : Create robust machine learning models for tasks in NLP (e.g., text summarization, named entity recognition, semantic search) and computer vision (e.g., image classification, OCR, object detection). Deep Learning Engineering : Build and optimize models using TensorFlow, Keras, or PyTorch, leveraging neural architectures such as CNNs, RNNs, LSTMs, and Transformers. Collaborative Innovation : Partner with product, data, and engineering teams to align AI development with real business needs, ensuring seamless integration of intelligence into products and workflows. Cloud-Native Deployment : Implement and scale ML models on AWS, Azure, or GCP using native services and containerization tools (Docker, Kubernetes). AI at Scale : Drive performance tuning, data preprocessing, A/B testing, and continuous training to ensure accuracy and production reliability. Model Lifecycle Ownership : Implement MLOps best practices, including CI/CD pipelines for ML, model versioning, and monitoring using tools like MLflow or SageMaker. Ethical & Transparent AI : Prioritize explainability, fairness, and compliance throughout the model development lifecycle. What You Bring Essential Qualifications 3+ years of hands-on experience in designing, training, and deploying machine learning models. Strong background in Python and ML libraries: TensorFlow, Keras, OpenCV, scikit-learn, Hugging Face Transformers, etc. Experience in both NLP and computer vision use cases and toolkits. Proven ability to deploy models using cloud-native AI tools on AWS, Azure, or GCP. Familiarity with containerization (Docker) and orchestration (Kubernetes). Solid foundation in mathematics, statistics, and deep learning algorithms. Excellent communication skills and a collaborative mindset. Bonus Points For Experience with MLOps workflows and tools like MLflow, TFX, or Kubeflow. Exposure to edge AI or streaming inference systems. Understanding of responsible AI principles and data governance. Show more Show less

At NIIT Managed Training Services, we’re transforming the way the world learns, for the better. That’s why the world’s best-run learning functions across 30 countries trust us with their learning and talent. Since 1981, we have helped leading companies transform their learning ecosystems while increasing the business value of learning. Our comprehensive, high-impact managed learning solutions weave together the best of learning theory, technology, operations, and services to enable a thriving workforce. Link for our website: - https://www.niit.com/en/learning-outsourcing/services/ We are hiring for Python Developer - AI & Web Applications This is 1 year contract mode role which can be converted into permanent based on performance. 5 days working from Office, Gurgaon-sector 34. General Shift About This Role We are seeking a skilled Python Developer to join our innovative team, focusing on AI applications, autonomous agent development, and web-based solutions. This role offers the opportunity to work with large language models, build interactive web applications using modern Python frameworks, and develop autonomous systems that can perform complex tasks. Key Responsibilities Development & Architecture • Design and develop web applications using FastAPI, Flask, and Gradio frameworks • Create interactive user interfaces combining Python backends with HTML/CSS frontends • Build responsive web applications with seamless integration between frontend and backend components • Deploy and manage applications using Azure cloud services for scalability and reliability • Develop and integrate autonomous agent systems for automated task execution and decision-making AI & Machine Learning • Work with large language models (LLMs) from various providers including OpenAI, Anthropic, and Hugging Face • Implement LLM-powered features including chat interfaces, content generation, and intelligent automation • Design and deploy autonomous agents capable of complex reasoning, planning, and multi-step task execution • Integrate multiple AI services and APIs to create comprehensive intelligent applications • Build agent orchestration systems for coordinated multi-agent workflows Data Engineering & Analytics • Work with large datasets, implementing robust data preprocessing, cleaning, and transformation pipelines • Collaborate with data scientists to integrate NLP-driven solutions into production applications • Optimize application performance, responsiveness, and scalability for enterprise-level deployments • Ensure data security, privacy, and compliance throughout the development lifecycle Collaboration & Best Practices • Partner with cross-functional teams to understand business requirements and translate them into technical solutions • Conduct comprehensive code reviews and maintain high standards for code quality and documentation • Stay current with latest advancements in AI, autonomous systems, NLP, and cloud technologies • Mentor junior developers and contribute to technical decision-making processes Required Qualifications & Experience • Bachelor's degree in Computer Science, Software Engineering, Web Development, or related field • 3+ years of proven experience as a Python Developer with expertise in web frameworks • Demonstrated experience building web applications with FastAPI, Flask, and Gradio NIIT is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. Show more Show less

Overview We are looking for a talented Generative AI Developer to join our dynamic team and contribute to our projects in transforming data into actionable insights. Responsibilities Design, develop, and implement generative AI models using Python and relevant libraries. Collaborate with data scientists to analyze data and improve model performance. Develop and maintain Flask APIs to serve AI models and facilitate integration with frontend applications. Utilize SQL for data manipulation and retrieval to support AI model training and evaluation. Engage in code reviews and contribute to best practices for software development. Stay updated with the latest trends and advancements in AI and machine learning technologies. Requirements Primary Skills: Proficient in Python (including libraries such as TensorFlow, PyTorch, or similar frameworks). Strong experience with SQL for database management and data querying. Familiarity with Generative AI tools and platforms (e.g., Gemini Pro). Experience in developing RESTful APIs using Flask. Secondary Skills: Understanding of machine learning concepts and algorithms. Familiarity with cloud computing services (e.g., AWS, Google Cloud) is a plus. Knowledge of data preprocessing and feature engineering techniques. Excellent problem-solving skills and ability to work in a collaborative team environment. Show more Show less

Sapiens is on the lookout for a Senior Data Scientist to become a key player in our Bangalore team. If you're a seasoned Data Scientist pro and ready to take your career to new heights with an established, globally successful company, this role could be the perfect fit. Location: Bangalore Working Model: Our flexible work arrangement combines both remote and in-office work, optimizing flexibility and productivity. This position will be part of Sapiens’ Digital (Data Suite) division, for more information about it, click here: https://sapiens.com/solutions/digitalsuite-customer-experience-and-engagement-software-for-insurers/ We are looking for an enthusiastic Data Scientist with a foundational understanding of data science principles and an interest in the insurance industry. The role involves working alongside senior data scientists to analyze data, build models, and generate insights. What You’ll Do Data Collection & Preprocessing Assist in gathering, cleaning, and preprocessing data from various sources, ensuring data quality and consistency. Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights within the data. Model Development & Evaluation Building predictive models to enhance accuracy. Test and evaluate basic machine learning models, including linear and logistic regression, decision trees, and clustering algorithms. Reporting & Visualization Create clear and informative data visualizations and reports to communicate insights to business stakeholders. Tracking key metrics and performance indicators related to business objectives. Cross-functional Collaboration Collaborate with business and technical teams to understand project requirements and contribute to the design of data-driven solutions. Participate in team meetings, brainstorming sessions, and discussions on data science projects and initiatives. Research & Learning Stay updated on the latest trends and tools in data science, machine learning, and the insurance industry. Participate in ongoing training and development programs to enhance technical skills and industry knowledge. Must Have Skills. What to Have for this position. Education: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. A Master’s degree is a plus. Experience : 4+ years of experience in data science or analytics Basic Industry Knowledge: General understanding of insurance concepts (e.g., policies, claims, risk, customer lifecycle) is desirable but not required. Insurance Data Familiarity: Some experience working with structured data (e.g., customer demographics, policy details) and an eagerness to learn about the specific types of data used in the insurance industry. Predictive Models: Exposure to basic predictive modeling techniques such as regression, classification, forecasting or clustering. Experience with insurance-specific models (e.g., claims prediction, risk assessment) is a plus. Data Preparation: Knowledge of data cleaning and preprocessing techniques, with experience in handling datasets to prepare them for analysis. Programming Skills: Proficiency in Python for data analysis, with familiarity in using libraries such as Pandas, NumPy, and Scikit-learn. Data Manipulation: Basic skills in SQL for querying and extracting data from databases. Statistical Knowledge: Understanding of fundamental statistical concepts, including distributions, probability, hypothesis testing, and descriptive statistics. Required Soft Skills Curiosity & Willingness to Learn: Enthusiastic about learning new concepts, techniques, and industry-specific knowledge in the insurance domain. Problem-Solving Skills: Ability to approach challenges analytically and think critically about data and project requirements. Attention to Detail: Keen eye for detail in data handling and model development to ensure high-quality outcomes. Communication Skills: Clear and concise communication skills, with the ability to present findings and insights effectively. Team Collaboration : Willingness to work collaboratively within a team, receiving and applying feedback from senior team members. About Sapiens Sapiens is a global leader in the insurance industry, delivering its award-winning, cloud-based SaaS insurance platform to over 600 customers in more than 30 countries. Sapiens’ platform offers pre-integrated, low-code capabilities to accelerate customers’ digital transformation. With more than 40 years of industry expertise, Sapiens has a highly professional team of over 5,000 employees globally. For More information visit us on www.sapiens.com . Sapiens is an equal opportunity employer. We value diversity and strive to create an inclusive work environment that embraces individuals from diverse backgrounds. Disclaimer: Sapiens India does not authorise any third parties to release employment offers or conduct recruitment drives via a third party. Hence, beware of inauthentic and fraudulent job offers or recruitment drives from any individuals or websites purporting to represent Sapiens . Further, Sapiens does not charge any fee or other emoluments for any reason (including without limitation, visa fees) or seek compensation from educational institutions to participate in recruitment events. Accordingly, please check the authenticity of any such offers before acting on them and where acted upon, you do so at your own risk. Sapiens shall neither be responsible for honouring or making good the promises made by fraudulent third parties, nor for any monetary or any other loss incurred by the aggrieved individual or educational institution. In the event that you come across any fraudulent activities in the name of Sapiens , please feel free report the incident at sapiens to sharedservices@sapiens.com Show more Show less

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Years of Experience: Candidates with 4+ years of hands on experience Required Skills Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving and analytical skills to troubleshoot and optimize conversational AI systems. Familiarity with NLP/NLG techniques such as parts of speech tagging, lemmatization, canonicalization, Word2vec, sentiment analysis, topic modeling, and text classification. NLP and NLU Verticals Expertise: Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR (incl. Testing), Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI and Generative AI. Experience building chatbots using bot frameworks like RASA/ LUIS/ DialogFlow/Lex etc. and building NLU model pipeline using feature extraction, entity extraction, intent classification etc. Understanding and experience on cloud platforms (e.g., AWS, Azure, Google Cloud, Omilia Cloud Platform, Kore.ai, OneReach.ai, NICE, Salesforce, etc.) and their services for building Conversational AI solutions for clients Expertise in Python or PySpark. R and JavaScript framework. Expertise in visualization tools such as Power BI, Tableau, Qlikview, Spotfire etc. Experience with evaluating and improving conversational AI system performance through metrics and user feedback Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Proven track record of successfully delivering conversational AI projects on time Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends in conversational AI technologies. Strong strategic thinking and ability to align conversational AI initiatives with business goals. Knowledge of regulatory and compliance requirements related to conversational AI applications Experience in the telecom industry or a similar field Familiarity with customer service operations and CRM systems Nice To Have Familiarity with data wrangling tools such as Alteryx, Excel and Relational storage (SQL) ML modeling skills: Experience in various statistical techniques such as Regression, Time Series Forecasting, Classification, XGB, Clustering, Neural Networks, Simulation Modelling, Etc. Experience in survey analytics, organizational functions such as pricing, sales, marketing, operations, customer insights, etc. Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data. Good Communication and presentation skills Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Manager - Analytics Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Procurement Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets KEY TASKS AND ACCOUNTABILITIES Understand the business problem and translate that to an analytical problem; participate in the solution design process. Manage the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Develop reusable and modular Python code adhering to OOP (Object-Oriented Programming) principles. Design, develop, and deploy machine learning models into production environments on Azure. Collaborate with data scientists, software engineers, and other stakeholders to meet business needs. Ability to communicate findings clearly to both technical and business stakeholders. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) B.Tech /BE/ Masters in CS/IS/AI/ML Previous Work Experience Required Minimum 3 years of relevant experience Technical Skills Required Must Have Strong expertise in Python, including advanced knowledge of OOP concepts. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning , NLP using Python Solid understanding of GenAI concepts and experience in Prompt Engineering and RAG Experience with version control tools such as Git. Consistently display an intent for problem solving Strong communication skills (vocal and written) Ability to effectively communicate and present information at various levels of an organization Good To Have Preferred industry exposure in CPG and experience of working in the domain of Procurement Analytics Product building experience would be a plus Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform Experience with Airflow for orchestrating and automating workflows Familiarity with MLOPS and containerization tools like Docker would be plus. Other Skills Required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to learn on the go Ability to work independently and with others We dream big to create future with more cheers Show more Show less

Skill required: Clinical Data Services - Clinical Database Programming Designation: Clinical Data Svs Analyst Qualifications: BSc/Master of Pharmacy Years of Experience: 3 to 5 years Language - Ability: English(International) - Expert About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? You will be aligned with our Life Sciences R&D vertical. Our services span across the entire life sciences enterprise, from research laboratories, clinical trials support, and regulatory services, to pharmacovigilance and patient services solutions. Employees under this span will be a part of one of the sub-offerings - Clinical, Pharmacovigilance & Regulatory, helping the world’s leading biopharma companies bring their vision to life – enabling them to improve outcomes by converging around the patient, connecting scientific expertise with unique insights into the patient experience. The Clinical Data Management team focuses on the collection, integration, and availability of data at appropriate quality and cost. The team is responsible for performing data management activities including discrepancy review, query generation, and resolution. The team is also responsible for creating CRF Completion Guidelines (CCG) and SAE reconciliation guidelines. They help identify and raise protocol deviations in the database, perform edit check validation by creating test cases, write test scripts, and carry out database validation (UAT) against the specified CRF/ECRF. The team also managing clinical data management projects. You will be expected to develop and review complex edit checks, patient profile listings, reports, preprocessing checks & map datasets for validation based on study requirements using different tools/techs such as Cognos / SAS, J-Review, or any other applicable systems. What are we looking for? Adaptable and flexible Ability to perform under pressure Problem-solving skills Detail orientation Ability to establish strong client relationship Roles and Responsibilities: Data Review Report Programmers: Overall experience of 4+ years in Clinical review and reporting programming, business analytics and/or clinical trial setup, gained in the pharmaceutical industry, CRO or Life Science related industry preferred. Participate in the lifecycle of producing key data and/or reports in support of data review reporting development including evaluation of requirements, design specifications, interface to programmers, report programming, coordinate validation and rollout activities along with providing quantitative analytical support. Provide understandable and actionable reports on clinical data and monitoring of clinical data for key stakeholders. Facilitate interaction with end user on creating specifications and working with programmers or performing the programming activities for successful delivery. Program reports of various complexity from documented requirements, within the clinical reporting systems using SQL, PL/SQL, SAS, and JReview etc. preferred. BSc,Master of Pharmacy Show more Show less

Job Description: Embedded AI Engineer Location: Dwarka Sector 12 Delhi Job Type: Full-Time / Contract / Freelance Job Description: We are seeking a skilled and motivated Embedded AI Engineer to develop and optimize a voice assistant system on resource-constrained devices like the ESP32-S3. You will be responsible for implementing wake word detection, voice activity detection (VAD), and basic speech command recognition using Espressif's ESP-SR framework, I2S microphones, and embedded ML models. And also, they have experience in computer vision-based project through that we can monitor particular object in Realtime using thermal and normal camera. Responsibilities: - Design and implement embedded voice assistant pipelines using ESP-SR, ESP-IDF, or PlatformIO. - Integrate I2S digital microphones (e.g., INMP441, DFPlayer) with ESP32 for real-time audio capture. - Develop wake word detection, VAD, and command recognition using models like WakeNet, MultiNet, or TinyML-based solutions. - - Optimize AI models and inference for ultra-low-power operation. - Manage real-time tasks using FreeRTOS on ESP32 platforms. - Interface with peripherals like SD cards, LEDs, relays, and Wi-Fi/BLE modules. - Debug, profile, and optimize memory and performance on constrained hardware. Required Skills: - Strong proficiency in C/C++ and embedded development for ESP32. - Experience with ESP-IDF, PlatformIO, or Arduino ESP32 core. - Practical knowledge of voice processing algorithms: VAD, wake word, STT. - Experience using or modifying ESP-SR, ESP-Skainet, or custom keyword spotting models. - Familiarity with I2S, DMA, and audio pre-processing (gain control, filtering). - Understanding of FreeRTOS, low-power modes, and real-time audio handling. Preferred/Bonus Skills: - Experience with TinyML, TensorFlow Lite for Microcontrollers, or Edge Impulse. - Knowledge of Python for data preprocessing and model training. - They have knowledge and experience in computer vision (OpenCV, image processing). - They have also knowledge and experience in Deep learning/AI for vision (like CNN, YOLO or Faster-R CNN, pytorch, TensorFlow, keras) - Having Experience on Nvidia Jetson Nano/Orin based device. - Experience with Bluetooth (BLE) or Wi-Fi communication for IoT applications. - Experience in noise reduction (e.g., NSNet), echo cancellation, or ESP-DSP. Qualifications: - Bachelor's or Master's degree in Electronics, Embedded Systems, Computer Engineering, or related field. - 2+ years of experience in embedded firmware or AI on edge devices. Why Join Us? - Work on cutting-edge embedded AI products for consumer and industrial voice control. - Opportunity to shape next-gen low-power voice assistant hardware. - Flexible remote work options and tech ownership. How to Apply: Send your resume, GitHub/portfolio, and any project demos to: Email: hr@gfofireequipments.com Job Type: Full-time Pay: From ₹100,000.00 per month Schedule: Day shift Work Location: In person

5 - 7 Years 1 Opening Trivandrum Role description Job Title: AI Engineer Location: Kochi / Trivandrum Experience: 3-7 Years About the Role: We are seeking a talented and experienced AI Engineer to join our growing team and play a pivotal role in the development and deployment of innovative AI solutions. This individual will be a key contributor to our AI transformation, working closely with AI Architects, Data Scientists, and delivery teams to bring cutting-edge AI concepts to life. Key Responsibilities: Model Development & Implementation: Design, develop, and implement machine learning models and AI algorithms, from initial prototyping to production deployment. Data Engineering: Work with large and complex datasets, performing data cleaning, feature engineering, and data pipeline development to prepare data for AI model training. Solution Integration: Integrate AI models and solutions into existing enterprise systems and applications, ensuring seamless functionality and performance. Model Optimization & Performance: Optimize AI models for performance, scalability, and efficiency, and monitor their effectiveness in production environments. Collaboration & Communication: Collaborate effectively with cross-functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver impactful AI solutions. Code Quality & Best Practices: Write clean, maintainable, and well-documented code, adhering to best practices for software development and MLOps. Research & Evaluation: Stay updated with the latest advancements in AI/ML research and technologies, evaluating their potential application to business challenges. Troubleshooting & Support: Provide technical support and troubleshooting for deployed AI systems, identifying and resolving issues promptly. Key Requirements: 3-7 years of experience in developing and deploying AI/ML solutions. Strong programming skills in Python (or similar languages) with extensive experience in AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Solid understanding of machine learning algorithms, deep learning concepts, and statistical modelling. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Experience with version control systems (e.g., Git) and collaborative development workflows. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field. Good to Have: Experience with MLOps practices and tools (e.g., MLflow, Kubeflow). Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience with big data technologies (e.g., Spark, Hadoop). Prior experience in an IT services or product development environment. Knowledge of specific AI domains such as NLP, computer vision, or time series analysis. Key Skills: Machine Learning, Deep Learning, Python, TensorFlow, PyTorch, Data Preprocessing, Model Deployment, MLOps, Cloud AI Services, Software Development, Problem-solving. Skills Machine Learning,Data Science,Artificial Intelligence About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Company Description Monk Outsourcing is a digital marketing service provider company based in Delhi, India. We offer staffing solutions for US-based companies, software development, web development, content management solutions, and creative design services. Our team of experts works with modern technologies and tools to deliver web-based projects from concept to implementation. We are looking for a talented AI/ML Engineer to join our dynamic team and contribute to our exciting projects involving large language models (LLMs). *Job Overview:* As an AI/ML Engineer specializing in generative AI applications, you will be responsible for developing and optimizing the entire machine learning pipeline. This includes data preprocessing, model training, fine-tuning, and deployment. You will work closely with data scientists, software engineers, and product managers to create efficient and scalable LLM models that meet our enterprise clients' needs. *Key Responsibilities:* • Design, implement, and maintain end-to-end machine learning pipelines for generative AI applications. • Develop and fine-tune large language models (LLMs) to meet specific project requirements. • Implement efficient data preprocessing and augmentation techniques to enhance model performance. • Collaborate with cross-functional teams to define project requirements and deliver AI solutions that align with business objectives. • Conduct experiments to evaluate model performance, using metrics and validation techniques to ensure high-quality results. • Optimize model inference and deployment for scalability and efficiency in production environments. • Stay updated with the latest advancements in AI/ML research and incorporate relevant innovations into our projects. • Provide technical guidance and mentorship to junior team members. *Required Skills and Qualifications:* • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. • 3-5 years of experience in machine learning, with a focus on generative AI and LLMs. • Proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow, PyTorch, or similar. • Strong understanding of NLP concepts, including text generation, prompting, and transformer-based architectures. • Experience in building and deploying machine learning models in production environments. • Knowledge of data preprocessing techniques, including text cleaning, tokenization, and augmentation. • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) for scalable model deployment. • Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment. • Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. *Preferred Qualifications:* • Experience with fine-tuning pre-trained LLMs such as GPT, BERT, or similar. • Familiarity with MLOps practices and tools for continuous integration and deployment (CI/CD) of ML models. • Understanding of ethical considerations and bias mitigation in AI models. • Contributions to open-source projects or publications in AI/ML conferences/journals. Show more Show less

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Consultant - AI ML Developer In this role, we are seeking a skilled AI/ML Developer with Python expertise to design, develop, and deploy machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn. You will work on the entire ML lifecycle, from data preprocessing to deployment, optimizing algorithms for performance. Responsibilities Design and implement algorithms that enable the General AI system to acquire new knowledge efficiently and adapt to evolving tasks seamlessly. Develop mechanisms for the General AI to perform various tasks, such as natural language understanding, image recognition, and decision-making, ensuring a holistic and versatile skill set. Implement continual learning strategies that allow the General AI to adapt and improve its performance over time, learning from both labelled and unlabelled data. Collaborate with specialists from different domains to integrate domain-specific knowledge and ensure the General AI's applicability in diverse real-world scenarios. Incorporate ethical considerations into the design and development of the General AI, addressing issues related to bias, fairness, and transparency in AI decision-making processes. Optimize the General AI system for scalability, ensuring efficient performance across different hardware and deployment environments. Engage in interdisciplinary research, staying updated on advancements in AI, cognitive science, and related fields, and applying relevant findings to enhance the capabilities of General AI. Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Verifying data quality, and/or ensuring it via data cleaning Defining validation strategies & data augmentation pipelines Designing, developing, and researching Machine Learning systems, models, and schemes Good working knowledge on deep learning and advanced NLP techniques Analyzing the use cases of ML algorithms and ranking them by their success probability Should be excellent with Rasa Framework or any other chatbot interface. Performing statistical analysis and using results to improve models. Training and retraining ML systems and models in real-world situations Visualizing data for deeper insights Hands-On with Service / Incident Management tools: JIRA / ServiceNow Knowledge and experience with Software Version Control systems: GIT etc. Qualifications we seek in you! Minimum Qualifications / Skills B.Tech/B.E/ MCA Excellent written and verbal communication skills Preferred Qualifications/ Skills Create comprehensive documentation of algorithms, models, and methodologies, and actively contribute to knowledge transfer within the team to foster a collaborative and learning-oriented environment. Demonstrated expertise in artificial intelligence, machine learning, and deep learning. Strong programming skills, preferably in Python, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch) Experience with reinforcement learning and transfer learning in the context of General AI. Knowledge of cognitive science principles and their application to AI development Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at www.genpact.com and on X, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Consultant Primary Location India-Hyderabad Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 16, 2025, 6:14:50 AM Unposting Date Ongoing Master Skills List Consulting Job Category Full Time

ideyaLabs is seeking a talented and innovative Generative AI Engineers with experience in leveraging Low-Code/No-Code (LCNC) platforms. This unique role will be at the forefront of developing and deploying cutting-edge generative AI models while utilizing LCNC tools to accelerate prototyping, integration, and application development. The ideal candidate will possess a strong understanding of generative AI techniques, proficiency in programming, and a passion for exploring the synergy between AI and rapid application development. Responsibilities: Generative AI Model Development & Deployment: Design, develop, train, and evaluate generative AI models for various applications (e.g., text generation, image synthesis, code generation, synthetic data generation). Implement and optimize generative AI models using relevant frameworks (e.g., TensorFlow, PyTorch, Transformers). Deploy and scale generative AI models on cloud platforms (e.g., AWS, Azure, GCP) or on-premise infrastructure. Stay up-to-date with the latest advancements in generative AI research and techniques. Low-Code/No-Code Platform Utilization: Utilize LCNC platforms (e.g., Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, Quixy) to rapidly prototype and build applications that integrate with generative AI models. Develop user interfaces and workflows using LCNC visual development tools. Connect generative AI APIs and services to LCNC applications. Build and deploy data connectors and integrations between various systems using LCNC capabilities. Integration & Application Development: Design and implement robust APIs and integration strategies to connect generative AI models with other systems and applications. Collaborate with software engineers and data scientists to build end-to-end AI-powered solutions. Develop and maintain documentation for AI models, LCNC applications, and integration processes. Experimentation & Innovation: Research and experiment with new generative AI models, LCNC platforms, and integration techniques. Evaluate the feasibility and potential of applying generative AI to solve specific business problems. Contribute to the development of best practices and guidelines for using generative AI and LCNC tools. Collaboration & Communication: Work closely with cross-functional teams, including product managers, designers, and business stakeholders. Communicate technical findings and progress effectively to both technical and non-technical audiences. Participate in code reviews and knowledge-sharing activities. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 3 + years of experience in developing and deploying machine learning models, with a focus on generative AI. Proven experience working with at least one or more Low-Code/No-Code development platforms (e.g., Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, Quixy). Experience in building and consuming APIs (RESTful, etc.). Technical Skills: Strong programming skills in Python and experience with relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Transformers). Solid understanding of deep learning concepts and architectures relevant to generative models (e.g., GANs, VAEs, Diffusion Models, Transformers). Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Understanding of database concepts and SQL. Proficiency in using visual development tools and integration capabilities of LCNC platforms. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to learn quickly and adapt to new technologies. Proactive and self-motivated with a strong sense of ownership. Passion for innovation and exploring the potential of generative AI. Preferred Qualifications: Experience with specific generative AI applications relevant to our industry (e.g., content generation, synthetic data for [mention industry]). Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Certifications in relevant AI/ML or LCNC platforms.

Must-Have Skills & Traits Core Engineering Advanced Python skills with a strong grasp of clean, modular, and maintainable code practices Experience building production-ready backend services using frameworks like FastAPI, Flask, or Django Strong understanding of software architecture , including RESTful API design, modularity, testing, and versioning. Experience working with databases (SQL/NoSQL), caching layers, and background job queues. AI/ML & GenAI Expertise Hands-on experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment Practical experience with LLMs and GenAI tools such as OpenAI APIs, Hugging Face, LangChain, or Transformers Understanding of how to integrate LLMs into applications through prompt engineering, retrieval-augmented generation (RAG), and vector search Comfortable working with unstructured data (text, images) in real-world product environments Bonus: experience with model fine-tuning, evaluation metrics, or vector databases like FAISS, Pinecone, or Weaviate Ownership & Execution Demonstrated ability to take full ownership of features or modules from architecture to delivery Able to work independently in ambiguous situations and drive solutions with minimal guidance Experience collaborating cross-functionally with designers, PMs, and other engineers to deliver user-focused solutions Strong debugging, systems thinking, and decision-making skills with an eye toward scalability and performance Nice-to-Have Skills Experience in startup or fast-paced product environments. 2-5 years of relevant experience. Familiarity with asynchronous programming patterns in Python. Exposure to event-driven architecture and tools such as Kafka, RabbitMQ, or AWS EventBridge Data science exposure: exploratory data analysis (EDA), statistical modeling, or experimentation Built or contributed to agentic systems, ML/AI pipelines, or intelligent automation tools Understanding of MLOps: model deployment, monitoring, drift detection, or retraining pipelines Frontend familiarity (React, Tailwind) for prototyping or contributing to full-stack features

ROLES & RESPONSIBILITIES Core Skills Strong knowledge of statistics and probability theory Proficiency in at least one programming language such as Python and SQL Experience with data visualization tools such as PowerBI Understanding of machine learning algorithms and models Knowledge of data cleaning and preprocessing techniques Experience with data analysis and interpretation EXPERIENCE 3-4.5 Years SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science

Job Title: Data Scientist – Financial Analytics Location: Onsite – Okhla Vihar, New Delhi Experience: 2-3 Years About the Role: We are seeking a passionate and results-driven Data Scientist to join our analytics team at our Okhla Vihar office. This role is ideal for someone with 2–3 years of hands-on experience in applying data science techniques to financial datasets, with a strong foundation in Python, SQL, and time series forecasting. You will play a key role in analyzing complex financial data, building predictive models, and delivering actionable insights to support critical business decisions. Key Responsibilities: Analyze large volumes of structured and unstructured financial data to extract meaningful insights. Build and evaluate predictive models using machine learning techniques (e.g., Scikit learn). Perform time series analysis and forecasting for financial indicators (e.g., market trends, portfolio performance, cash flows). Design and implement robust feature engineering pipelines to improve model accuracy. Develop risk modeling frameworks to assess financial risk (e.g., credit risk, market risk). Write complex and optimized SQL queries for data extraction and transformation. Leverage Python libraries like Pandas, NumPy, and SciPy for data preprocessing and manipulation. Create clear and insightful data visualizations using Matplotlib, Seaborn, or Plotly to communicate findings. Work closely with finance and strategy teams to translate business needs into data-driven solutions. Monitor and fine-tune models in production to ensure continued relevance and accuracy. Document models, assumptions, and methodologies for auditability and reproducibility. Required Skills & Experience: 2–3 years of experience as a Data Scientist, preferably in a financial services or fintech environment. Proficient in Python (Pandas, Scikit-learn, NumPy, SciPy, etc.). Strong experience in SQL for querying large datasets. Deep understanding of time series modeling (ARIMA, SARIMA, Prophet, etc.). Experience with feature selection, feature transformation, and data imputation techniques. Solid understanding of financial concepts such as ROI, risk/return, volatility, portfolio analysis, and pricing models. Exposure to risk modeling (credit scoring, stress testing, scenario analysis). Strong analytical and problem-solving skills with attention to detail. Experience with data visualization tools – Matplotlib, Seaborn, or Plotly. Ability to interpret model outputs and convey findings to both technical and non technical stakeholders. Excellent communication and collaboration skills. Preferred Qualifications: Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field. Experience working with financial time series datasets (e.g., stock prices, balance sheets, trading data). Understanding of regulatory frameworks and compliance in financial analytics. Familiarity with cloud platforms (AWS, GCP) is a plus. Experience working in agile teams. What We Offer: Competitive salary and performance incentives Onsite role at a modern office located in Okhla Vihar, New Delhi A collaborative and high-growth work environment Opportunities to work on real-world financial data challenges Exposure to cross-functional teams in finance, technology, and business strategy How to Apply: If you’re excited to work at the intersection of data science and finance, and want to be part of a dynamic team solving real-world financial challenges, we’d love to hear from you. Please send your resume, portfolio (if applicable), and a brief note about why you're a great fit to [your email/HR contact here]. Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Schedule: Morning shift Work Location: In person

Job Description: Key Responsibilities Hands-on Development: Develop and implement machine learning models and algorithms, including supervised, unsupervised, deep learning, and reinforcement learning techniques. Implement Generative AI solutions using technologies like RAG (Retrieval-Augmented Generation), Vector DBs, and frameworks such as LangChain and Hugging Face, Agentic Ai. Utilize popular AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Design and deploy NLP models and techniques, including text classification, RNNs, CNNs, and Transformer-based models like BERT. Ensure robust end-to-end AI/ML solutions, from data preprocessing and feature engineering to model deployment and monitoring. Technical Proficiency: Demonstrate strong programming skills in languages commonly used for data science and ML, particularly Python. Leverage cloud platforms and services for AI/ML, especially AWS, with knowledge of AWS Sagemaker, Lambda, DynamoDB, S3, and other AWS resources. Mentorship: Mentor and coach a team of data scientists and machine learning engineers, fostering skill development and professional growth. Provide technical guidance and support, helping team members overcome challenges and achieve project goals. Set technical direction and strategy for AI/ML projects, ensuring alignment with business goals and objectives. Facilitate knowledge sharing and collaboration within the team, promoting best practices and continuous learning. Strategic Advisory: Collaborate with cross-functional teams to integrate AI/ML solutions into business processes and products. Provide strategic insights and recommendations to support decision-making processes. Communicate effectively with stakeholders at various levels, including technical and non-technical audiences. Qualifications Bachelor’s degree in a relevant field (e.g., Computer Science) or equivalent combination of education and experience. Typically, 8-10 years of relevant work experience in AI/ML/GenAI 15+ years of overall work experience. With proven ability to manage projects and activities. Extensive experience with generative AI technologies, including RAG, Vector DBs, and frameworks such as LangChain and Hugging Face, Agentic AI Proficiency in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. Extensive experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Strong knowledge of natural language processing (NLP) techniques and models, including Transformer-based models like BERT. Proficient programming skills in Python and experience with cloud platforms like AWS. Experience with AWS Cloud Resources, including AWS Sagemaker, Lambda, DynamoDB, S3, etc., is a plus. Proven experience leading a team of data scientists or machine learning engineers on complex projects. Strong project management skills, with the ability to prioritize tasks, allocate resources, and meet deadlines. Excellent communication skills and the ability to convey complex technical concepts to diverse audiences. Preferred Qualifications Experience in setting technical direction and strategy for AI/ML projects. Experience in the Insurance domain Ability to mentor and coach junior team members, fostering growth and development. Proven track record of successfully managing AI/ML projects from conception to deployment. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Position: Fullstack Developer (AI+React) Experience: 8+ years Work Mode: Remote Shift timings: 8 am-5 pm Notice Period: Immediate Experience with AI/ML: 3+ years Tech Stack React, Next.js, TypeScript, FastAPI, Python, PostgreSQL, MongoDB, GPT-4, LangChain, Terraform, AWS Must-Haves Expert-level proficiency in React, TypeScript, and Next.js, including SSR and SSG. Strong backend experience using Python and FastAPI, with a focus on API design, database modeling (PostgreSQL, MongoDB), and secure authentication protocols (e.g., JWT, OAuth2). Hands-on experience with prompt engineering and deploying large language models (LLMs) such as GPT-4, LLaMA, or open-source equivalents. Familiarity with ML model serving frameworks (e.g., TorchServe, BentoML) and container orchestration tools (Docker, Kubernetes). In-depth knowledge of the AI/ML development lifecycle, from data preprocessing to model monitoring and retraining. Strong understanding of Agile/Scrum, including writing user stories, defining acceptance criteria, and conducting code reviews. Proven ability to translate financial domain requirements (accounting, bookkeeping, reporting) into scalable product features. Experience integrating with financial services APIs (e.g., accounting platforms, payment gateways, banking feeds) is a plus. Excellent written and verbal communication skills in English, with the ability to explain complex ideas to nontechnical audiences. Skills: next.js,api design,container orchestration tools,financial services api integration,agile,scrum,communication skills,postgresql,prompt engineering,terraform,mongodb,gpt-4,ai/ml,react,aws,ml,ml model serving frameworks,database modeling,typescript,python,fastapi,secure authentication techniques,langchain Show more Show less

Role Description Job Title: AI Engineer Location: Kochi / Trivandrum Experience: 3-7 Years About The Role We are seeking a talented and experienced AI Engineer to join our growing team and play a pivotal role in the development and deployment of innovative AI solutions. This individual will be a key contributor to our AI transformation, working closely with AI Architects, Data Scientists, and delivery teams to bring cutting-edge AI concepts to life. Key Responsibilities Model Development & Implementation: Design, develop, and implement machine learning models and AI algorithms, from initial prototyping to production deployment. Data Engineering: Work with large and complex datasets, performing data cleaning, feature engineering, and data pipeline development to prepare data for AI model training. Solution Integration Integrate AI models and solutions into existing enterprise systems and applications, ensuring seamless functionality and performance. Model Optimization & Performance Optimize AI models for performance, scalability, and efficiency, and monitor their effectiveness in production environments. Collaboration & Communication: Collaborate effectively with cross-functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver impactful AI solutions. Code Quality & Best Practices Write clean, maintainable, and well-documented code, adhering to best practices for software development and MLOps. Research & Evaluation Stay updated with the latest advancements in AI/ML research and technologies, evaluating their potential application to business challenges. Troubleshooting & Support Provide technical support and troubleshooting for deployed AI systems, identifying and resolving issues promptly. Key Requirements 3-7 years of experience in developing and deploying AI/ML solutions. Strong programming skills in Python (or similar languages) with extensive experience in AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Solid understanding of machine learning algorithms, deep learning concepts, and statistical modelling. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Experience with version control systems (e.g., Git) and collaborative development workflows. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field. Good To Have Experience with MLOps practices and tools (e.g., MLflow, Kubeflow). Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience with big data technologies (e.g., Spark, Hadoop). Prior experience in an IT services or product development environment. Knowledge of specific AI domains such as NLP, computer vision, or time series analysis. Key Skills Machine Learning, Deep Learning, Python, TensorFlow, PyTorch, Data Preprocessing, Model Deployment, MLOps, Cloud AI Services, Software Development, Problem-solving. Skills Machine Learning,Data Science,Artificial Intelligence Show more Show less

Job Title: Manager–Data Science Location: Full-Time / On-Site / Hyderabad Company Overview A global organization delivering advanced AI, data science, analytics, and technology solutions to enterprises across various industries. Focused on enabling digital transformation, the company builds scalable, data-driven strategies that improve operational efficiency, drive innovation, and unlock sustainable business value. Role Summary The Manager–Data Science is a strategic and hands-on leadership role responsible for driving end-to-end AI/ML initiatives. This role combines deep technical expertise with team leadership and cross-functional collaboration. Ideal candidates will bring strong experience in machine learning, generative AI, and data-driven problem solving, along with a working knowledge of cloud platforms such as AWS, Azure, or GCP. Key Responsibilities Technical Leadership & Delivery • Design, build, and deploy scalable ML and Gen AI models. • Execute end-to-end ML pipelines : data preprocessing, training, evaluation, and deployment. • Collaborate with data engineering teams to ensure seamless integration and performance in production. • Automate workflows and improve model lifecycle efficiency. • Translate business needs into actionable data science problems and solutions. Generative AI & RAG • Develop solutions using Generative AI frameworks. • Implement RAG pipelines with: Fine-tuning techniques like QLoRA Document chunking and ingestion strategies Integration with vector databases (e.g., FAISS, Pinecone, Weaviate) Performance evaluation using appropriate metrics/frameworks Machine Learning & Forecasting Apply classical ML algorithms with techniques like L1/L2 regularization , feature selection, and model interpretation. Build forecasting models and evaluate them using MAPE, SMAPE, etc. Interpret model behavior during under/over forecasting scenarios. Practice Growth • Contribute to the AI/ML practice by developing reusable assets and internal tools. • Lead innovation initiatives and stay current with emerging tools, models, and frameworks. • Support business development through PoCs and technical strategy. People Leadership • Mentor and guide a team of data scientists. • Set clear performance goals, conduct regular feedback, and foster a culture of learning and innovation. • Work cross-functionally with stakeholders to ensure successful delivery. Requirements • Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field with 8+ years of hands-on experience in AI/ML across industries like Retail, BFSI, Healthcare, or eCommerce. • Strong proficiency in Python and SQL; experience with ML pipelines, cloud platforms ( AWS, Azure, or GCP), and big data tools (Hadoop, Hive, PySpark). • Solid understanding of ML algorithms, model interpretation, L1/L2 regularization, feature selection, and forecasting metrics (MAPE, SMAPE). • Practical expertise in Generative AI and RAG pipelines—QLoRA fine-tuning, document chunking, ingestion strategies, vector databases, and evaluation frameworks. • Hands-on experience in Speech-to-Text NLP and audio data processing, with the ability to integrate voice-based data into ML workflows • Strong problem-solving and analytical mindset, with the ability to communicate complex ideas clearly, lead teams, and collaborate with cross-functional stakeholders in a fast-paced environment. Note: We're keeping the process inclusive — whether you're immediately available, serving notice, or have a 60-day notice period, you're welcome to apply. Show more Show less

Position Title: Data Scientist Location: Gurugram Experience: 3–4 Years Job Type: Full-Time Company: Sequifi | www.sequifi.com About the Role We are hiring a Data Scientist with 3–4 years of experience who has a strong foundation in data analysis, machine learning, and business problem-solving. This role is ideal for someone who is hands-on with modern tools and techniques, eager to explore new technologies, and enjoys working in a collaborative, fast-paced environment. Key Responsibilities Analyze complex datasets to uncover patterns, trends, and actionable insights. Build, validate, and deploy machine learning models for predictive analytics, classification, and clustering. Design and maintain efficient data pipelines and ETL processes. Create clear, interactive dashboards and reports using tools such as Power BI, Tableau, or Python visualization libraries. Collaborate with product managers, developers, and business analysts to understand requirements and deliver data-driven solutions. Conduct A/B testing and statistical analysis to support product decisions and optimizations. Continuously improve model performance based on feedback and business objectives. Required Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. 3–4 years of experience in data science or a similar role. Strong programming skills in Python (Pandas, NumPy, Scikit-learn), SQL, and familiarity with PHP or Node.js. Hands-on experience with data visualization tools such as Power BI or Tableau. Good understanding of machine learning algorithms, data preprocessing, and feature engineering. Experience working with structured and unstructured data, including NoSQL databases like MongoDB. Familiarity with cloud platforms such as AWS, GCP, or Azure is a plus. Soft Skills Strong analytical and problem-solving abilities. Effective communication and data storytelling skills. Ability to work independently as well as collaboratively in cross-functional teams. A mindset geared toward innovation, learning, and adaptability. Why Join Us Work on meaningful and challenging problems in a tech-focused environment. Join a young, supportive, and fast-moving team. Gain exposure to a combination of data science, product, and engineering. Opportunity to learn and grow continuously in a culture of innovation. If you’re passionate about using data to drive business impact, we’d love to hear from you. Apply now and grow with us at Sequifi. Show more Show less

Company Description Jarvis Business Solutions is a leading eCommerce and CRM company specializing in implementing and delivering solutions for small to large enterprises. With expertise in SAP Hybris Commerce, Salesforce CRM, and Commerce, Jarvis serves clients globally by providing innovative solutions tailored to their needs. Role Description This is a full-time on-site role for an AI/ML Technical Lead located in Hyderabad. The Technical Lead will be responsible for leading AI/ML projects, developing algorithms, implementing machine learning models, and providing technical guidance to the team. They will collaborate with stakeholders to understand business requirements and ensure successful project delivery. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. 8+ years of overall software development experience with 3+ years in AI/ML roles. Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, etc. Hands-on experience with Python (preferred), R, or similar languages. Experience with cloud platforms (AWS/GCP/Azure) and ML Ops tools (MLflow, SageMaker, Kubeflow). Proven track record of delivering AI/ML solutions at scale. Strong knowledge of data preprocessing, model evaluation, and deployment strategies. Excellent problem-solving, analytical, and communication skills Show more Show less

Roles & Responsibilities Core Skills Strong knowledge of statistics and probability theory Proficiency in at least one programming language such as Python and SQL Experience with data visualization tools such as PowerBI Understanding of machine learning algorithms and models Knowledge of data cleaning and preprocessing techniques Experience with data analysis and interpretation Experience 3-4.5 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Roles & Responsibilities About the Role The Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Senior Data Scientist Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 5+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Data Scientist- Autonomous About Us Empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on us for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. We are proud to work with incredible companies in virtually all industries including Wayfair, Acer, Gucci, Lorna Jane, GoPro, and many more We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose every day. About The Role The Research and Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Statistics, Computer Science, Mathematics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and techniques in production grade Strong understanding and practical experience with various machine learning algorithms, such as linear regression, logistic regression, decision trees, similarity search, neural networks, and deep learning Proficiency in programming languages such as Python or R for data manipulation, statistical analysis, and machine learning model development Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficient in data visualization libraries (e.g., Matplotlib, Seaborn, ggplot) to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environmentAdvantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Experience 6-8 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): AI/ML Development, Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

We are looking for an experienced Machine Learning Engineer to join our team. The ideal candidate should have a strong background in developing, implementing, and deploying machine learning models on edge platforms. With at least 5 years of overall experience and at least 3 years of machine learning experience, you will significantly contribute to our projects, driving innovation and delivering high-quality solutions. Responsibilities: ● Design, develop, and deploy machine learning models and algorithms on the edge platforms. ● Perform data analysis and feature engineering to enhance model performance. ● Collaborate with cross-functional teams to integrate ML solutions into existing systems. ● Monitor and maintain deployed models, ensuring optimal performance and reliability. ● Stay current with the latest advancements in machine learning and AI. ● Document processes and best practices for machine learning workflows. ● Troubleshoot and resolve issues related to ML models and data pipelines. Experience & Background Requirement: ● Bachelor's or Master's degree in Engineering or equivalent. ● Minimum of 7+ years of overall experience. ● Minimum of 7 years of machine learning experience. ● Proficiency in programming languages such as Python, C, C++. ● Experience with any of HW platforms like NXP, NVidia, Qualcomm, Synaptcis . ● Strong understanding of machine learning algorithms and techniques (e.g., regression, classification, clustering, neural networks). ● Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, Numpy, Matplotlib, OpenCV). ● Knowledge of data preprocessing, feature engineering, and model training/evaluation. ● Experience with data storage and processing technologies (e.g., SQL, JSON, XML). ● Excellent problem-solving and analytical skills. ● Strong communication and collaboration abilities. ● Experience of streaming and GUI development is an advantage. Show more Show less