1028 Inference Jobs - Page 38

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities 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! Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities 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! Show more Show less

Experience : 5.00 + years Salary : INR 5000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Precanto) (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, Machine Learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. We’re looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering We’re looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) What You Will Do- Build and optimize machine learning models — from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform Basic Skills Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. Advanced Skills Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic 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! Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities 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! Show more Show less

About KnowDis KnowDis is an AI-driven company based in Delhi dedicated to transforming e-commerce and banking sectors through cutting-edge technology. With expertise in artificial intelligence, machine learning, and large language models (LLMs), we develop innovative solutions that enhance operational efficiency and drive growth. In e-commerce, we build advanced systems for product search optimization, leveraging LLMs to improve natural language queries and search accuracy. Our team includes B.Tech and Phds from various IITs including Delhi, Guwahati, BHU. Across both industries, we are committed to delivering intelligent, scalable AI solutions that shape the future of business and finance. About the Role At KnowDis, you will move the world forward. Every day, we create innovative machine-learning solutions to help our clients across e-commerce, healthcare, and finance domains to solve their problems. We are a group of highly curious professionals dedicated to discovering and implementing new deep learning models. We work at the intersection of machine learning, statistical analysis, deep learning, natural language processing, and computer vis ion.We bring out the best in each other, and together, we work towards the vision of using this expertise to help society and make the world a better place. As a data scientist, you should be passionate about natural language processing, computer vision, statistical sampling, and analytical methods. You will develop machine learning systems, analyze performance, and refine models through hyperparameter tuning and experimentation to optimize results. You will also improve algorithm accuracy by iterating based on performance metrics and fee dback.To succeed in this role, you need exceptional skills in statistics and programming. You will be part of an agile team and will be collaborating with engineers, data engineers, and fellow data scientists. Job Responsibilities Develop and Implement Machine Learning Models: Design, build, and deploy machine learning models and algorithms for various applications, ensuring they are robust and scalable for production use. Data Exploration and Preparation: Collect, clean, and preprocess large datasets, including feature engineering and data transformation, to create a strong foundation for modeling. Model Training and Optimization: Train models using state-of-the-art techniques, optimize performance through hyperparameter tuning, and conduct thorough experimentation to achieve desired results. Analyze and Evaluate Performance: Use appropriate metrics to analyze model accuracy, precision, recall, and other relevant performance indicators, and iteratively improve models based on findings. Experimentation and Research: Stay updated on the latest machine learning and data science advancements, and run experiments to identify potential new techniques and approaches for business challenges. Requirements for the job Bachelor’s/Master's/Ph.D. in Computer Science, Mathematics, Statistics, or equivalent field. Minimum of 1 to 2 years of experience in ML and AI roles. Strong proficiency in Python and machine learning frameworks like PyTorch, TensorFlow, Scikit-learn, and others. Solid understanding of statistical analysis, data modeling, and algorithmic techniques for various ML tasks. Experience in Natural Language Processing (NLP) and/or Computer Vision (CV) is required; any of the followingis preferred: NLP: Strong understanding of RNNs and transformer-based architectures for tasks such as chatbots/dialogue systems, machine translation, named entity recognition, recommendation systems, and retrieval systems. Computer Vision: Hands-on experience with cutting-edge Vision Language Models (VLMs) like ViT, CLIP, Swin Transformers, DINO, GroundedSAM, SAM, YOLOv7/v8, and multimodal architectures like BLIP-2 and GIT-2. Skilled in Visual Question Answering (VQA), image classification, search, and object detection, with expertise in advanced techniques for complex vision and multimodal tasks. Practical experience in building production-ready systems using deployment frameworks such as FastAPI, NVIDIA Triton Inference Server, TorchServe, or TensorFlow. SELECTION PROCESS: Intereste d Candidate s are mandatorily required to apply through this listing on Jigya. Only applications received through Jigya will be evaluated further.Shortlisted candidates may be required to appear in an Online Assessment administered by Jigya on behalf on KnowDis Candidates selected after the screening test will be interviewed by Knowdis.ai Show more Show less

Experience : 5.00 + years Salary : INR 5000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Precanto) (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, Machine Learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. We’re looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering We’re looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) What You Will Do- Build and optimize machine learning models — from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform Basic Skills Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. Advanced Skills Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic 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! Show more Show less

TransUnion's Job Applicant Privacy Notice What We'll Bring Senior Consultant Data Analytics in Solutions Pricing Team What You'll Bring What we’ll bring: At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day. Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology. What You’ll Bring 8+ years of experience as a business analyst with a demonstrated analytical and quantitative skills with the ability to effectively turn business requirements into solution design. Deep knowledge and hands-on expertise in leveraging data visualization, statistical inference, and other advanced analytical techniques in deriving insights from large datasets Experience with a range of Business Intelligence tools and systems. Ability to work effectively across teams and draw upon resources across TransUnion in order to facilitate and support the ideation, development, and execution of complex initiatives Thought-leadership in identifying data trends and translating numbers and trends into tangible concepts/ideas or solutions; experience translating data into visuals to drive business insights and strategic decision-making Ability to apply strong project and time management skills to lead multiple projects simultaneously with limited supervision in a collaborative and fast-paced environment. Versatile interpersonal skills with the ability to effectively communicate orally and over emails at multiple levels A Masters or Bachelor’s degree in Business Administration, Engineering, Finance, Accounting, Mathematics or other related field What We’d Love To See Advanced skill in automating and streamlining business processes, Power BI, Salesforce, programming languages like R, PySpark, Alteryx & SQL Data modeling and experience working with relational databases Proven aptitude to relationship building, experience working in matrixed organizations A growth mindset with a willingness to innovate Understanding of financial services / credit reporting / data and information industries preferred, but not mandatory Impact You'll Make Impact you’ll make: In this position, you'll be responsible for supporting analytics requirements in the commercial success group. You will be expected to work autonomously to build relationships gaining trust throughout the organization becoming a thought leader. Identify relevant data around the organization and leverage that data to answer questions about our products, our customers, our markets, our go-to-market strategies (pricing, marketing, etc.), and our business performance Perform ad-hoc analysis, determine trends, recognize abnormalities in the business, prepare, update and maintain key dashboards in Power BI or Salesforce. Creation, delivery and analysis of Billing / Pricing data reports for Pricing teams. Work on automating the price increase campaigns You will participate in the mentoring and training of junior colleagues, fostering a high-performance culture and cultivating an environment that promotes excellence and reflects the TransUnion brand. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Sr Consultant, Solution Pricing Show more Show less

Experience : 5.00 + years Salary : INR 5000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Precanto) (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, Machine Learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. We’re looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering We’re looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) What You Will Do- Build and optimize machine learning models — from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform Basic Skills Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. Advanced Skills Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic 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! Show more Show less

Job Description Senior Data Engineer Mission of the Role You are a passionate and skilled data engineer who enjoys building scalable, production-grade data pipelines that enable machine learning and AI at scale. You thrive on solving complex data challenges and understand how critical a robust data pipeline is to the success of any predictive model. As a Senior Data Engineer on the Forecasting team, you will be responsible for designing, implementing, and maintaining the data pipelines that power deep neural network models used for global sales and revenue forecasting. You will work closely with ML engineers, data scientists, and product stakeholders to build automated, secure, and cost-efficient pipelines using GCP-native services. You take pride in writing clean, testable, and production-ready code, and are comfortable operating in cloud environments. You know how to make data pipelines observable, recoverable, and performant. You are also comfortable taking architectural ownership and contributing to long-term platform improvements. You will: Design and build robust, scalable, and maintainable data pipelines for training and inference of deep learning models used in forecasting and other Machine Learning based algorithms Develop and orchestrate end-to-end workflows using GCP-native tools such as Cloud Workflows, Cloud Run, BigQuery, Cloud Functions, and Pub/Sub Automate and maintain the pipeline lifecycle, including data extraction, transformation, loading (ETL/ELT), and triggering model runs Monitor and Optimise performance, cost-efficiency, and data freshness across all stages of the pipeline Collaborate with data scientists to productionise AI/ML models and integrate them seamlessly into business workflows Own the data ingestion, validation, and transformation logic powering the forecasting models, ensuring high-quality, consistent input data Handle deployment, versioning, and configuration of pipeline components using Docker, Git, and CI/CD practices Implement logging, monitoring, and alerting to ensure reliability and traceability in a high-scale environment Review code, mentor junior engineers, and help define best practices in our evolving data engineering stack Qualifications You have: 7+ years of experience in data engineering or backend engineering roles Strong expertise in Python and SQL, with experience building production-grade data pipelines Solid understanding of Docker, Git, and shell scripting in Linux environments Hands-on experience with GCP services Experience in building, deploying, and maintaining data workflows that feed AI/ML models Familiarity with model lifecycle management and infrastructure challenges in ML pipelines Proficiency in setting up CI/CD pipelines for data and ML systems using GitLab CI, Cloud Build, or similar tools Exposure to Java for backend services or pipeline components (even if not primary language) A proactive, collaborative mindset and strong communication skills across engineering and data science teams Nice to have: Exposure to forecasting or time series modelling pipelines Experience with event-driven architectures Familiarity with infrastructure-as-code tools like Terraform Understanding of data quality frameworks and observability tools Knowledge of model versioning tools and experiment tracking systems Additional Information Why Join us? You’ll be working on a high-impact platform that forecasts consumer demand and drives business-critical decisions globally You'll be part of a tight-knit, collaborative, and innovative Forecasting & AI team within a leading global data science organisation You’ll have access to top-tier infrastructure, GCP services, and challenging real-world problems in predictive modelling Flexible working hours, remote-friendly culture, and strong focus on personal and professional growth Competitive compensation and performance-based bonuses Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Show more Show less

Experience : 5.00 + years Salary : INR 5000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Precanto) (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, Machine Learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. We’re looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering We’re looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) What You Will Do- Build and optimize machine learning models — from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform Basic Skills Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. Advanced Skills Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic 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! Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities 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! Show more Show less

Job Description Must Have Skills: Experience in design, build, and deployment of end-to-end AI solutions with a focus on LLMs and RAG (Retrieval-Augmented Generation) workflows. Extensive knowledge of large language models, natural language processing techniques and prompt engineering. Experience with Oracle Fusion Cloud Applications (ERP and HCM) and their AI capabilities. Proficiency in developing AI chatbots using ODA (Oracle digital Assistance), Fusion APIs, OIC (Oracle integration cloud) and genAI services. Experience in testing and validation processes to ensure the models' accuracy and efficiency in real-world scenarios. Familiarity with Oracle Cloud Infrastructure or similar cloud platforms. Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Analyzes problems, identifies solutions, and makes decisions. Demonstrates a willingness to learn, adapt, and grow professionally. Good to Have Skills: Experience in LLM architectures, model evaluation, and fine-tuning techniques. Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Proficiency in programming languages (e.g., Java, Python) and databases (e.g., Oracle, MySQL), developing and executing AI over any of the cloud data platforms, associated data stores, Graph Stores, Vector Stores and pipelines. Knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference. Understanding of the security and compliance requirements for ML/GenAI implementations. Career Level - IC3 Responsibilities Be a leader, a ‘doer’, with a vision & desire to contribute to a business with a technical project focus and mentality that centers around a superior customer experience. Bring entrepreneurial & innovative flair, with the tenacity to develop and prove delivery ideas independently, then share these as examples to improve the efficiency of the delivery of these solutions across EMEA. Working effectively across internal, external and culturally diverse lines of business to define and deliver customer success. Proactive approach to the task and self-learner. Self-motivated, you have the natural drive to learn and pick up new challenges. Results orientation, you won’t be satisfied until the job is done with the right quality! Ability to work in (virtual) teams. To get a specific job done often requires working together with many colleagues spread out in different countries. Comfortable in a collaborative, agile environment. Ability to adapt to change with a positive mindset. Good communication skills, both oral and written! You are able to not only understand complex technologies but also to explain to others in clear and simple terms. You can articulate key messages very clearly. Being able to present in front of customers. https://www.oracle.com/in/cloud/cloud-lift/ About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Experience : 5.00 + years Salary : INR 5000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Precanto) (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, Machine Learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. We’re looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering We’re looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) What You Will Do- Build and optimize machine learning models — from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform Basic Skills Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. Advanced Skills Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic 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! Show more Show less

Description and Requirements "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications’ security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis. BMC AMI Cost and Capacity Management - As digitization increases, so does the complexity of managing mainframe capacity and costs. BMC AMI Cost and Capacity portfolio increases availability, predicts capacity bottlenecks before they occur, and optimizes mainframe software costs. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: We are seeking a Python with AI/ML Developer to join a highly motivated team responsible for developing and maintaining innovation for mainframe capacity and cost management. As an Application Developer at BMC, you will be responsible for: Developing and integrating AI/ML models with a focus on Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Vector Databases to enhance intelligent decision-making. Building scalable AI pipelines for real-time and batch inference, optimizing model performance, and deploying AI-driven applications. Implementing RAG-based architectures using LLMs (Large Language Models) for intelligent search, chatbot development, and knowledge management. Utilizing vector databases (e.g., FAISS, ChromaDB, Weaviate, Pinecone) to enable efficient similarity search and AI-driven recommendations. Developing modern web applications using Angular to create interactive and AI-powered user interfaces. Developing APIs and microservices to expose AI/ML models for enterprise applications. Processing and analyzing structured & unstructured data, including text, images, and time-series data for AI/ML applications. Optimizing ML models for performance and scalability, ensuring low latency and high availability in production. Staying updated with advancements in GenAI, NLP, transformers, and deep learning architectures to drive innovation. Collaborating with cross-functional teams to integrate AI capabilities into existing applications and workflows. To ensure you’re set up for success, you will bring the following skillset & experience: Strong proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain. Experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone) for semantic search and embeddings. Hands-on expertise in LLMs (GPT, LLaMA, Mistral, Claude, etc.) and fine-tuning/customizing models. Proficiency in Retrieval-Augmented Generation (RAG) and prompt engineering for AI-driven applications. Experience with Angular for developing interactive web applications. Experience with RESTful APIs, FastAPI, Flask, or Django for AI model serving. Working knowledge of SQL and NoSQL databases for AI/ML applications. Hands-on experience with Git/GitHub, Docker, and Kubernetes for AI/ML model deployment. Whilst these are nice to have, our team can help you develop in the following skills: Experience with knowledge graphs, semantic search, and enterprise AI applications. Additional experience with .NET v7+ and cross-platform .NET development would be helpful. Exposure to IBM z/OS mainframe environments and AI-driven optimization for legacy systems. Background in statistical data analysis, reinforcement learning, or advanced ML techniques. CA-DNP Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. < Back to search results BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 4,542,800 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities 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! Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities 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! Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities 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! Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities 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! Show more Show less

We are seeking a highly skilled and motivated Lead DS/ML engineer to join our team. The role is critical to the development of a cutting-edge reporting platform designed to measure and optimize online marketing campaigns. We are seeking a highly skilled Data Scientist / ML Engineer with a strong foundation in data engineering (ELT, data pipelines) and advanced machine learning to develop and deploy sophisticated models. The role focuses on building scalable data pipelines, developing ML models, and deploying solutions in production to support a cutting-edge reporting, insights, and recommendations platform for measuring and optimizing online marketing campaigns. The ideal candidate should be comfortable working across data engineering, ML model lifecycle, and cloud-native technologies. Job Description: Key Responsibilities: Data Engineering & Pipeline Development Design, build, and maintain scalable ELT pipelines for ingesting, transforming, and processing large-scale marketing campaign data. Ensure high data quality, integrity, and governance using orchestration tools like Apache Airflow, Google Cloud Composer, or Prefect. Optimize data storage, retrieval, and processing using BigQuery, Dataflow, and Spark for both batch and real-time workloads. Implement data modeling and feature engineering for ML use cases. Machine Learning Model Development & Validation Develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experiment with different algorithms (regression, classification, clustering, reinforcement learning) to drive insights and recommendations. Leverage NLP, time-series forecasting, and causal inference models to improve campaign attribution and performance analysis. Optimize models for scalability, efficiency, and interpretability. MLOps & Model Deployment Deploy and monitor ML models in production using tools such as Vertex AI, MLflow, Kubeflow, or TensorFlow Serving. Implement CI/CD pipelines for ML models, ensuring seamless updates and retraining. Develop real-time inference solutions and integrate ML models into BI dashboards and reporting platforms. Cloud & Infrastructure Optimization Design cloud-native data processing solutions on Google Cloud Platform (GCP), leveraging services such as BigQuery, Cloud Storage, Cloud Functions, Pub/Sub, and Dataflow. Work on containerized deployment (Docker, Kubernetes) for scalable model inference. Implement cost-efficient, serverless data solutions where applicable. Business Impact & Cross-functional Collaboration Work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translate complex model insights into actionable business recommendations. Present findings and performance metrics to both technical and non-technical stakeholders. Qualifications & Skills: Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related field. Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: Experience: 5-10 years with the mentioned skillset & relevant hands-on experience Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. Cloud & Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). Data Warehousing & Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: Experience with Graph ML, reinforcement learning, or causal inference modeling. Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. Experience with distributed computing frameworks (Spark, Dask, Ray). Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Job Description Must Have Skills: Experience in design, build, and deployment of end-to-end AI solutions with a focus on LLMs and RAG (Retrieval-Augmented Generation) workflows. Extensive knowledge of large language models, natural language processing techniques and prompt engineering. Experience with Oracle Fusion Cloud Applications (ERP and HCM) and their AI capabilities. Proficiency in developing AI chatbots using ODA (Oracle digital Assistance), Fusion APIs, OIC (Oracle integration cloud) and genAI services. Experience in testing and validation processes to ensure the models' accuracy and efficiency in real-world scenarios. Familiarity with Oracle Cloud Infrastructure or similar cloud platforms. Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Analyzes problems, identifies solutions, and makes decisions. Demonstrates a willingness to learn, adapt, and grow professionally. Good to Have Skills: Experience in LLM architectures, model evaluation, and fine-tuning techniques. Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Proficiency in programming languages (e.g., Java, Python) and databases (e.g., Oracle, MySQL), developing and executing AI over any of the cloud data platforms, associated data stores, Graph Stores, Vector Stores and pipelines. Knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference. Understanding of the security and compliance requirements for ML/GenAI implementations. Career Level - IC3 Responsibilities Be a leader, a ‘doer’, with a vision & desire to contribute to a business with a technical project focus and mentality that centers around a superior customer experience. Bring entrepreneurial & innovative flair, with the tenacity to develop and prove delivery ideas independently, then share these as examples to improve the efficiency of the delivery of these solutions across EMEA. Working effectively across internal, external and culturally diverse lines of business to define and deliver customer success. Proactive approach to the task and self-learner. Self-motivated, you have the natural drive to learn and pick up new challenges. Results orientation, you won’t be satisfied until the job is done with the right quality! Ability to work in (virtual) teams. To get a specific job done often requires working together with many colleagues spread out in different countries. Comfortable in a collaborative, agile environment. Ability to adapt to change with a positive mindset. Good communication skills, both oral and written! You are able to not only understand complex technologies but also to explain to others in clear and simple terms. You can articulate key messages very clearly. Being able to present in front of customers. https://www.oracle.com/in/cloud/cloud-lift/ About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities 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! Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities 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! Show more Show less

Summary Company : Abbott -EPD Department : ECB _ Leap Job Title : Key Account Manager (Pharmacy Chains) Grade : 15 Experience : 2-5 Years in Chain Pharmacies (Pharma or healthcare sector) Reports to : NAM – Modern Trade (EPD) Place in Organization The KAM reports to the NAM MT (EPD). He/She works in tandem with other functions viz. Sales, Finance, Legal, Supply Chain, Marketing & Brands. He/she would assist the NAM of MT in handling the account portfolio. He/she can also independently manage some smaller chains or alternatively verticals in big chains. Role & Responsibility KAM will be Point of Contact for all Assigned Account Category Buying team. He/She will be responsible for smooth Operational Execution with his/her accounts. He/She will also be responsible for Customer Management, Sales & Market Share Growth from his/her accounts. Key Responsibility  Point of Contact for all Assigned Account – Building Relationship through regular engagement  Customer Management – Improving Process, Understanding Accounts Need & their Expansion Plan.  Set-up & Execute Terms of Trade (ToT) & Joint Business Plan (JBP) with assigned account and drive monthly, quarterly, and annual business Plan.  Operational Execution – Getting Purchase Order, executing orders, collections on time.  Tracking & Analyzing – Fill-Rate Analysis & Intervention, Timely Settlement of Debit & Credit Notes.  Data Collection, Analysis & Reporting – Timely Data Collection (Monthly Forecast, Off-Take, Inventory & Category Share). Assist the NAM in analyzing Data to draw meaningful inferences. Tracking Expiry & Returns  Implementation of Strategic Initiatives in JBP Accounts – New Product Introduction (NPI) Right Product Assortment Planning Focus Brand Opportunity Assessment Brand Campaigns  Coordinates with Internal Team (Marketing, Supply Chain, Division team etc.) for ensuring networks are on time for promotions, stocks, events, driving offtakes, etc. Preferred Candidate  Understanding of Modern Trade (Pharmacy Chain Business).  Should be able to handle multiple Stakeholder.  Pharma Marketing & Sales experience will be preferred.  Candidate with High Business Acumen & Drive for Numbers  Data Crunching and drawing inference from It.  Role required to travel for 5-7 Days in a Month. Show more Show less

Experience : 5.00 + years Salary : INR 5000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Precanto) (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, Machine Learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. We’re looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering We’re looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) What You Will Do- Build and optimize machine learning models — from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform Basic Skills Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. Advanced Skills Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic 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! Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities 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! Show more Show less