2243 Numpy Jobs - Page 49

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. 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 : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. 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

As the digital revolution continues to reshape the Indian workforce, remote work opportunities are flourishing across major cities like Chennai . Once known predominantly for its IT and manufacturing industries, Chennai is now becoming a hotspot for professionals seeking work-from-home jobs . But landing a good remote role isn’t just about applying — it’s about having the right skills that employers are actively looking for. In this article, we’ll explore the top high-demand skills for remote jobs in Chennai for 2025, how to acquire them, and why they matter. Whether you’re a fresher, mid-level professional, or someone planning a career switch, this guide will help you boost your remote work readiness. Why Remote Work is Thriving in Chennai Before diving into the skillsets, here are a few reasons why remote work has taken off in Chennai: IT Ecosystem: Home to major IT hubs like Tidel Park, Chennai has a high concentration of tech talent. Startups & SMEs: Increasing number of Chennai-based startups and SMEs are adopting hybrid or fully remote models. Cost Efficiency: Remote operations reduce overhead costs for companies, making remote hiring more appealing. Talent Pool: Chennai boasts a steady supply of educated graduates, especially in tech and commerce fields. Now, let’s explore the most in-demand skills for work-from-home jobs in Chennai. Software Development and Programming One of the highest-paid and most sought-after skills in the remote job market. Key Programming Languages: Python JavaScript Java C# PHP Frameworks & Tools: React, Angular (Frontend) Node.js, Django, Flask (Backend) GitHub, Docker, Kubernetes Suitable Remote Roles: Full-Stack Developer Front-End Developer DevOps Engineer Mobile App Developer Digital Marketing With more businesses going online, digital marketing professionals are in huge demand. Important Sub-Skills: Search Engine Optimization (SEO) Social Media Marketing (SMM) Email Marketing Google Ads / Facebook Ads Content Marketing Popular Tools: SEMrush, Ahrefs Canva, Adobe Suite Google Analytics HubSpot, Mailchimp Remote Job Titles: Digital Marketing Executive SEO Specialist Content Strategist Social Media Manager Also Read: Top Companies Offering Remote Jobs in Pune Data Analysis and Data Science Companies need data to make decisions — and they need analysts to interpret that data. Must-Have Skills: MS Excel (Advanced) SQL Python (Pandas, NumPy, Matplotlib) Power BI or Tableau Machine Learning basics (for Data Science roles) Common Remote Roles: Data Analyst Business Intelligence Analyst Junior Data Scientist Cloud Computing As more companies migrate their operations to the cloud, certified cloud professionals are in high demand. Key Platforms: Amazon Web Services (AWS) Microsoft Azure Google Cloud Platform (GCP) Certifications That Help: AWS Certified Solutions Architect Microsoft Certified Azure Administrator Google Associate Cloud Engineer Remote Roles: Cloud Engineer Solutions Architect Cloud Security Analyst UI/UX Design A critical component of any product or website, UI/UX design is a skill that can be done entirely remotely. Core Skills: Wireframing and Prototyping User Research User Journey Mapping Tools To Learn: Figma Adobe XD Sketch InVision Remote Job Roles: UI/UX Designer Product Designer Interaction Designer Content Writing and Copywriting Chennai has seen a surge in content marketing jobs, especially among startups and media companies. Types Of Writing In Demand: Blog and SEO content Technical writing Copywriting for ads Scriptwriting for YouTube Tools & Platforms: Grammarly Surfer SEO / Clearscope WordPress Notion Ideal Roles: Content Writer Copywriter Technical Writer SEO Content Strategist Virtual Assistance and Administration Many businesses and solopreneurs are outsourcing administrative tasks to remote virtual assistants . Important Skills: Email and Calendar Management Customer Support Data Entry Booking and Scheduling Common Tools: Microsoft Office / Google Workspace Zoom / Skype / Teams Trello / Asana CRM Tools like Zoho, Salesforce In-Demand Roles: Virtual Assistant Admin Executive Online Customer Support Sales and Lead Generation Remote sales has become easier and more efficient with tools and automation platforms. Skills To Master: Cold Calling and Emailing CRM management Market Research Funnel Optimization Useful Tools: LinkedIn Sales Navigator Salesforce / HubSpot Google Sheets & CRM dashboards Suitable Positions: Inside Sales Executive Lead Generation Specialist Business Development Associate E-commerce Management From managing inventory to handling listings, e-commerce roles are booming in Chennai. Skills You Need: Product Listing (Amazon, Flipkart, Shopify) Order and Inventory Management Customer Handling Basic Graphic Designing for Product Images Tools: Shopify WooCommerce Amazon Seller Central Canva, Photoshop Job Titles: E-commerce Executive Marketplace Manager Product Listing Specialist Also Read: Work from Home Jobs in Chennai for Freshers: Start Your Career Remotely Language and Communication Skills Regardless of your domain, clear communication is a must for remote roles. Skills To Focus On: English Proficiency (Spoken and Written) Report Writing Active Listening Presentation Skills Useful Tools: Grammarly Hemingway Editor Google Docs MS PowerPoint This is especially vital for client-facing roles , including sales, marketing, support, and HR. Bonus: Top Work-from-Home Certifications to Consider If you’re serious about getting a remote job, consider earning one or more of these certifications: Google Digital Marketing Certification (Free) HubSpot Content Marketing Certification AWS Certified Cloud Practitioner Coursera’s Python for Everybody Tableau Desktop Specialist Udemy’s Virtual Assistant Masterclass Figma UI/UX Design Bootcamp These can add credibility to your resume and increase your chances of remote hiring in Chennai. How To Learn These Skills From Home You don’t need to attend physical classes to acquire these skills. Here are some platforms that offer remote-friendly learning : Coursera edX Udemy LinkedIn Learning Simplilearn Great Learning (India-based) Tips to Succeed in Work-from-Home Jobs Build a professional remote-friendly resume highlighting tools and platforms you’ve used. Create a LinkedIn profile and join Chennai-specific remote job groups. Maintain a structured routine to balance productivity and well-being. Stay updated with emerging tools in your industry. Conclusion – Work-from-Home Jobs in Chennai With Chennai’s fast-evolving digital ecosystem, remote work is not a trend — it’s the future . But success in this environment depends largely on your skill set, adaptability, and continuous learning . Whether you want to be a software developer, digital marketer, writer, or support executive, now is the perfect time to invest in high-demand skills and build a sustainable remote career. By aligning your talents with market needs, you’ll open doors to high-paying, flexible roles that were once out of reach. So start learning, practicing, and applying — your dream remote job in Chennai is waiting. FAQs: Work-from-Home Jobs in Chennai Q1. Which remote jobs in Chennai are best for freshers? A: Content writing, customer support, virtual assistance, and digital marketing are great remote job options for freshers. Q2. Do I need a degree to get a work-from-home job in Chennai? A: Not always. Skills, certifications, and relevant experience often matter more than formal degrees for remote jobs. Q3. How much can I earn from a remote IT job in Chennai? A: Salaries range from ₹3 LPA for junior developers to ₹20 LPA+ for senior full-stack developers. Q4. Are there part-time work-from-home jobs in Chennai? A: Yes, especially in content writing, online tutoring, virtual assistance, and sales support. Q5. Can I get remote work in Chennai without technical skills? A: Absolutely. Roles in writing, digital marketing, support, HR, and data entry are open to non-tech professionals. Q6. Which platforms are best for finding remote jobs in Chennai? A: LinkedIn, Naukri.com, Internshala, Upwork, and CareerCartz are great starting points. Q7. How important is English for remote work? A: Very important, especially in communication-based and international client-facing roles. Q8. What are the top tools to learn for remote work? A: Tools like Zoom, Trello, Slack, Google Workspace, Canva, and Microsoft Office are widely used. Q9. Is freelancing considered remote work? A: Yes, freelancing is a popular form of remote work, particularly in writing, design, and programming. Q10. How do I build a remote-friendly resume? A: Focus on your remote tools expertise, relevant certifications, and accomplishments. Include links to portfolios if applicable. Related Posts: The Pros and Cons of Working Remote Data Entry Jobs How to Write A Proposal to Work From Home Top Remote Front End Developer Jobs Hiring in 2025 Best Remote SEO Jobs to Work From Home in 2025 Best Remote Accounting Jobs for Professionals in 2025 Work From Home Jobs Without Investment & Daily Payment with Mobile [2025 Guide] Work From Home Statutory Employee: What You Need to Know in the U.S. Top Companies in Chennai Offering Remote Jobs in 2025 Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. 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 : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. 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 In This Role, Your Responsibilities Will Be: Development of Data Analysis, Data Processing engines using Python Development of REST API using Python Development & Deployment of applications on AWS/Azure Ability to do POCs on new tech stack and to integrate the same in the applications on functional level Ability to understand the business requirements, system architecture and process guidelines Ability to code for multiple projects at a time Ability to code for sophisticated requirements under tight timelines Ability to work with multi-functional / domain teams Ability to handle end to end projects on individual basis Ability to work in a fast-paced and agile development environment Tackle sophisticated analytic challenges using analytic algorithms and AI Build and deploy predictive and prescriptive models using statistical modeling, machine learning, and optimization Who you are: You take initiatives and doesn’t wait for instructions and proactively seek opportunities to contribute. You adapt quickly to new situations and apply knowledge effectively. Clearly convey ideas and actively listen to others to complete assigned task as planned. For This Role, You Will Need: Exp 2 to 4 Yrs. with minimum 2 yrs. In python development (Required) Minimum 1 year of experience working with python > 3.x Minimum 1 year of implementing and delivering projects using CI/CD tools such as git, Jenkins, docker, Kubernetes, Kubeflow Pipelines, etc. Minimum of 1-year experience in building microservices and web API Hands on experience using NumPy and pandas Experience working with PostgreSQL database will be added advantage. Experience working with Node JS and Node-Red will be added advantage. DevOps experience and attitude is a big plus. Some experience using Google-OR tools would be an added advantage Exposure to building ETL pipelines and data integration; machine learning and NLP would be an added advantage. Strong analytical and problem-solving skills. Must be flexible, independent and self-motivated. Practical understanding of Object-Oriented Design Principles and Design Patterns Experience in secure product development lifecycle practices Proficiency in Visual Studio Code or Visual Studio with strong debugging skills such as watch, threads, modules, memory view, disassembly view etc. Experience working with Azure DevOps or equivalent experience Software Development standard methodologies such as applying GIT, collaborative platforms like Github or bitbucket Experience working in an Agile/Scrum development process Behavior Driven (BDD) or Test-Driven Development (TDD) Experience building apps and solutions in Windows and Linux Preferred Qualifications that Set You Apart: Experience/understanding of available opensource software and tooling Experience in setting up app containerization (Docker and Kubernetes) Past hands-on experience and understanding of Angular, Bootstrap 4, HTML 5, CSS3, Responsive Design Good verbal & written English communication Ability to work in a complex team structure, including distributed (I.e. global) teams. Readiness to work in flexible work timings. Interpersonal savvy. A very good great teammate. Quick and enthusiastic learner and a great teammate. Willingness to explore and adapt Willingness to learn new technologies and ability to build quick demonstrable proof of concepts. Experience working with data science teams and contributions to projects would be a huge plus. Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. 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

Designation: - ML / MLOPs Engineer Location: - Noida (Sector- 132) Key Responsibilities: • Model Development & Algorithm Optimization : Design, implement, and optimize ML models and algorithms using libraries and frameworks such as TensorFlow , PyTorch , and scikit-learn to solve complex business problems. • Training & Evaluation : Train and evaluate models using historical data, ensuring accuracy, scalability, and efficiency while fine-tuning hyperparameters. • Data Preprocessing & Cleaning : Clean, preprocess, and transform raw data into a suitable format for model training and evaluation, applying industry best practices to ensure data quality. • Feature Engineering : Conduct feature engineering to extract meaningful features from data that enhance model performance and improve predictive capabilities. • Model Deployment & Pipelines : Build end-to-end pipelines and workflows for deploying machine learning models into production environments, leveraging Azure Machine Learning and containerization technologies like Docker and Kubernetes . • Production Deployment : Develop and deploy machine learning models to production environments, ensuring scalability and reliability using tools such as Azure Kubernetes Service (AKS) . • End-to-End ML Lifecycle Automation : Automate the end-to-end machine learning lifecycle, including data ingestion, model training, deployment, and monitoring, ensuring seamless operations and faster model iteration. • Performance Optimization : Monitor and improve inference speed and latency to meet real- time processing requirements, ensuring efficient and scalable solutions. • NLP, CV, GenAI Programming : Work on machine learning projects involving Natural Language Processing (NLP) , Computer Vision (CV) , and Generative AI (GenAI) , applying state-of-the-art techniques and frameworks to improve model performance. • Collaboration & CI/CD Integration : Collaborate with data scientists and engineers to integrate ML models into production workflows, building and maintaining continuous integration/continuous deployment (CI/CD) pipelines using tools like Azure DevOps , Git , and Jenkins . • Monitoring & Optimization : Continuously monitor the performance of deployed models, adjusting parameters and optimizing algorithms to improve accuracy and efficiency. • Security & Compliance : Ensure all machine learning models and processes adhere to industry security standards and compliance protocols , such as GDPR and HIPAA . • Documentation & Reporting : Document machine learning processes, models, and results to ensure reproducibility and effective communication with stakeholders. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • 3+ years of experience in machine learning operations (MLOps), cloud engineering, or similar roles. • Proficiency in Python , with hands-on experience using libraries such as TensorFlow , PyTorch , scikit-learn , Pandas , and NumPy . • Strong experience with Azure Machine Learning services, including Azure ML Studio , Azure Databricks , and Azure Kubernetes Service (AKS) . • Knowledge and experience in building end-to-end ML pipelines, deploying models, and automating the machine learning lifecycle. • Expertise in Docker , Kubernetes , and container orchestration for deploying machine learning models at scale. • Experience in data engineering practices and familiarity with cloud storage solutions like Azure Blob Storage and Azure Data Lake . • Strong understanding of NLP , CV , or GenAI programming, along with the ability to apply these techniques to real-world business problems. • Experience with Git , Azure DevOps , or similar tools to manage version control and CI/CD pipelines. • Solid experience in machine learning algorithms , model training , evaluation , and hyperparameter tuning Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. 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 : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. 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 : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. 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

🧠 Data Science Intern (Remote) 🌐 🔍 Are you curious about machine learning, predictive models, and using data to solve real-world problems? Ready to gain hands-on experience in Data Science from anywhere in the world? This is your chance! 📍 Location: Virtual / Remote 💼 Type: Internship (Unpaid) 🕒 Duration & Working Hours: Flexible – Work on your own schedule! 🌟 About the Role: We’re looking for a passionate and driven Data Science Intern to join our remote team! This internship is an exciting opportunity for students, recent graduates, or self-learners who want to apply their data science skills in real projects and make a measurable impact. You'll work on datasets, build models, and generate actionable insights using tools and techniques from the world of data science — all within a flexible, remote environment. 🚀 What You’ll Gain: ✅ 100% Remote – Work from anywhere 🌍 ✅ Flexible Hours – You decide when to work ⏰ ✅ Hands-On Projects – Apply your data science skills to real challenges 📊 ✅ Portfolio Development – Boost your resume with real experience 📈 ✅ Mentorship – Learn from a supportive and collaborative team 👥 👀 Who We’re Looking For: 🎓 Students or recent graduates in Computer Science, Data Science, Engineering, or related fields 📈 Eager to explore machine learning, data modeling, and analysis 🛠️ Experience with Python, pandas, NumPy, scikit-learn, or similar tools 📊 Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, or Tableau) 🧠 Problem-solving mindset with attention to detail 💬 Independent, proactive, and good at remote collaboration 📅 Apply By: June 10th If you're ready to dive into data and gain practical experience in data science, we’d love to hear from you! Let’s turn data into discoveries together 💡📊 Show more Show less

Quantitative Analyst: Hillroute Capital About Hillroute: Hillroute Capital is a regulated quantitative hedge fund specializing in global digital asset trading. We leverage sophisticated quantitative methodologies and advanced technology to achieve exceptional risk-adjusted returns. Our transparent approach and diverse, experienced team allow us to excel in the rapidly evolving digital asset market. About the Role: We are seeking a highly skilled Quantitative Analyst to develop, test, and refine systematic trading models across global digital asset markets. This role offers flexibility in approach—candidates with expertise in systematic strategies, options trading, statistical arbitrage, backtesting, or machine learning are equally encouraged to apply. This role will be in the US shift. Key Responsibilities: Strategy Development & Backtesting: Design and rigorously backtest quantitative trading models, ensuring predictive reliability and strong risk management. Quantitative & Statistical Analysis: Apply advanced statistical modeling, econometric analysis, or financial mathematics to extract market insights. Risk Management: Contribute actively to robust risk management frameworks, identifying potential risks and implementing mitigation strategies. Innovation: Regularly generate and test new ideas and strategies, pushing boundaries to enhance fund performance. Preferred Qualifications: 3–5 years experience in quantitative analysis, trading, or research roles within finance. 1-3 years experience in running quantitative machine learning models. Advanced degree in quantitative disciplines (Mathematics, Physics, Statistics, Computer Science, Engineering). Strong Python programming skills (NumPy, Pandas), and familiarity with backtesting frameworks (Backtrader, QuantConnect). Solid knowledge in options pricing, volatility modeling, statistical arbitrage, or systematic strategies. Familiarity with financial data platforms (Bloomberg, Refinitiv, Quandl). Exposure to cloud computing environments (AWS, GCP, Azure). Experience or interest in applying machine learning techniques (XGBoost, TensorFlow, PyTorch) is a plus—but not mandatory. Participation in Kaggle or similar platforms is beneficial but not required. Key Performance Indicators (KPIs): Model profitability and risk-adjusted returns. Backtest reliability and accuracy. Effectiveness in risk management. Contribution to innovation and research quality. What We Offer: Competitive compensation and performance-based incentives. The opportunity to pioneer quantitative strategies in the dynamic digital asset industry. A collaborative, inclusive, and flexible working environment. Professional growth in an innovative, fast-paced hedge fund setting. If you're passionate about quantitative finance and thrive in a dynamic, data-driven environment, we invite you to join our team. Apply directly via LinkedIn: Hillroute Capital Show more Show less

Location: Bangalore Job Type: Contract Position overview: We are seeking a Data Scientist with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1+ years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators for Tata Communications products and services. Detailed job description & Key Responsibilities: Develop, Test, and Deploy machine learning models for various business and Telco use cases. Perform data preprocessing, feature engineering and ML/DL model evaluation. Optimize and fine-tune models for performance and scalability. Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT/Llama/Claude/Grok Build and refine RAG models to improve information retrieval and answer generation systems. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Communicate technical concepts to non-technical stakeholders effectively. Document processes, methodologies, and model development for internal and external stakeholders. Skills: Strong knowledge of probability and statistics. Working knowledge of machine learning and deep learning skills. Strong knowledge of programming knowledge Python, SQL and commonly used frameworks & tools PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Excellent problem-solving skills and a proactive attitude. Strong communication and teamwork abilities. Ability to manage multiple projects and meet deadlines Interview will involve coding

This role includes the following responsibilities and requirements: Architecture, design, development, debugging, documentation, and operation of large-scale systems designed for machine learning. This includes distributed systems for data management and computation as well as web-oriented APIs and user interfaces. Take pride and ownership in delivering delightful user experiences Lead other engineers and demonstrate best practices for software engineering Support and mentor junior engineers. Location - Remote.

Quantitative Analyst: Hillroute Capital About Hillroute: Hillroute Capital is a regulated quantitative hedge fund specializing in global digital asset trading. We leverage sophisticated quantitative methodologies and advanced technology to achieve exceptional risk-adjusted returns. Our transparent approach and diverse, experienced team allow us to excel in the rapidly evolving digital asset market. About the Role: We are seeking a highly skilled Quantitative Analyst to develop, test, and refine systematic trading models across global digital asset markets. This role offers flexibility in approach—candidates with expertise in systematic strategies, options trading, statistical arbitrage, backtesting, or machine learning are equally encouraged to apply. Key Responsibilities: Strategy Development & Backtesting: Design and rigorously backtest quantitative trading models, ensuring predictive reliability and strong risk management. Quantitative & Statistical Analysis: Apply advanced statistical modeling, econometric analysis, or financial mathematics to extract market insights. Risk Management: Contribute actively to robust risk management frameworks, identifying potential risks and implementing mitigation strategies. Innovation: Regularly generate and test new ideas and strategies, pushing boundaries to enhance fund performance. Preferred Qualifications: 3–5 years experience in quantitative analysis, trading, or research roles within finance. 1-3 years experience in running quantitative machine learning models. Advanced degree in quantitative disciplines (Mathematics, Physics, Statistics, Computer Science, Engineering). Strong Python programming skills (NumPy, Pandas), and familiarity with backtesting frameworks (Backtrader, QuantConnect). Solid knowledge in options pricing, volatility modeling, statistical arbitrage, or systematic strategies. Familiarity with financial data platforms (Bloomberg, Refinitiv, Quandl). Exposure to cloud computing environments (AWS, GCP, Azure). Experience or interest in applying machine learning techniques (XGBoost, TensorFlow, PyTorch) is a plus—but not mandatory. Participation in Kaggle or similar platforms is beneficial but not required. Key Performance Indicators (KPIs): Model profitability and risk-adjusted returns. Backtest reliability and accuracy. Effectiveness in risk management. Contribution to innovation and research quality. What We Offer: Competitive compensation and performance-based incentives. The opportunity to pioneer quantitative strategies in the dynamic digital asset industry. A collaborative, inclusive, and flexible working environment. Professional growth in an innovative, fast-paced hedge fund setting. If you're passionate about quantitative finance and thrive in a dynamic, data-driven environment, we invite you to join our team. Apply directly via LinkedIn: Hillroute Capital Show more Show less

Key Responsibilities: Assist in the design, development, and deployment of Python-based AI/ML models and applications. Work with senior developers and data scientists to preprocess data, train models, and evaluate performance. Write clean, scalable, and efficient Python code for automation, data analysis, and AI pipelines. Participate in brainstorming sessions, code reviews, and team meetings. Document project requirements, processes, and results. Required Skills: Strong foundation in Python programming. Basic understanding of Machine Learning concepts and algorithms. Familiarity with libraries such as NumPy, Pandas, Matplotlib, and scikit-learn. Good analytical and problem-solving skills. Willingness to learn new technologies and take initiative. Good to Have: Exposure to deep learning frameworks like TensorFlow or PyTorch. Experience with Jupyter Notebooks, Git/GitHub, or any version control system. Academic projects or internships related to AI/ML or Python development. Eligibility Criteria: B.E./B.Tech/MCA/M.Sc. in Computer Science, IT, or related field (2023/2024 pass-out preferred). Strong academic track record with a passion for AI and software development. What We Offer: Hands-on experience on real-world AI/ML projects. Mentorship and training by experienced professionals. Dynamic and collaborative work environment. Career growth opportunities in AI and software development domains.

Wissen Technology is Hiring for Python Developer About Wissen Technology: Wissen Technology is a globally recognized organization known for building solid technology teams, working with major financial institutions, and delivering high-quality solutions in IT services. With a strong presence in the financial industry, we provide cutting-edge solutions to address complex business challenges. Role Overview: We are looking for talented and motivated Python Backend Developers to join our growing team. The ideal candidate will have a solid foundation in backend development using Python and related technologies, along with a good understanding of software design principles and development methodologies. Experience: 1-8 Years Location: Mumbai Educational Qualification: Candidates from Tier 1 or Tier 2 Institutes only Key Responsibilities Design, develop, and maintain scalable backend services using Python (Django and related frameworks) Implement and optimize algorithms , data structures , and object-oriented solutions Write clean, maintainable code and robust unit tests using PyTest Parse and process structured data, including XML and file-based input/output operations Collaborate with database engineers to develop optimized SQL queries, procedures , and performance tuning Apply Service Design principles and contribute to architectural discussions Participate in Agile development processes, including sprint planning, code reviews, and daily stand-ups Work closely with cross-functional teams and communicate effectively with technical and non-technical stakeholders Required Skills: Strong backend development experience with Python Hands-on experience with Django , NumPy , and standard Python libraries In-depth understanding of Data Structures , OOPs , and Algorithms Proficient in SQL and database performance tuning Experience with XML parsing and file handling in Python Knowledge of unit testing frameworks , especially PyTest Familiarity with service design , object-oriented , and functional programming concepts Experience working in Agile environments Excellent communication skills , both verbal and written Strong interpersonal skills and a professional, team-oriented approach The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products. We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation. Over the years, Wissen Group has successfully delivered $1 billion worth of projects for more than 20 of the Fortune 500 companies. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them with the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients. We have been certified as a Great Place to Work® company for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider. Great Place to Work® Certification is recognized world over by employees and employers alike and is considered the ‘Gold Standard’. Wissen Technology has created a Great Place to Work by excelling in all dimensions - High-Trust, High-Performance Culture, Credibility, Respect, Fairness, Pride and Camaraderie. Website: www.wissen.com LinkedIn: https://www.linkedin.com/company/wissen-technology Wissen Leadership: https://www.wissen.com/company/leadership-team/ Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All Wissen Thought Leadership: https://www.wissen.com/articles/ Employee Speak: https://www.ambitionbox.com/overview/wissen-technology-overview https://www.glassdoor.com/Reviews/Wissen-Infotech-Reviews-E287365.htm Great Place to Work: https://www.wissen.com/blog/wissen-is-a-great-place-to-work-says-the-great-place-to-work-institute-india/ https://www.linkedin.com/posts/wissen-infotech_wissen-leadership-wissenites-activity-6935459546131763200-xF2k About Wissen Interview Process:https://www.wissen.com/blog/we-work-on-highly-complex-technology-projects-here-is-how-it-changes-whom-we-hire/ Latest in Wissen in CIO Insider: https://www.cioinsiderindia.com/vendor/wissen-technology-setting-new-benchmarks-in-technology-consulting-cid-1064.html Show more Show less

Job role- Software Engineer- (C/C++) Location- Pune Work Mode - Hybrid mode- 3 days’ work from Office Experience- 8+ Yrs Roles & Responsibilities: - As acoustic development engineer, you will work in the Product Development team that is responsible of the Actran software development. Your main responsibilities will include: • Development of new features in Actran, matching with industrial expectations (accuracy, performance, robustness); • Participation to acoustic research topics • Recommendations on new technologies to be integrated in Actran to solve new challenges efficiently; • Interfaces with third party software when required; • Work on bug fixes; • Identify software design problems and devise elegant solutions. Quality Assurance (QA), industrial validation and software documentation benefit from daily interactions with dedicated teams. Profile • PhD in Applied Sciences, Computer Sciences (or equivalent by experience) • Programming skills in Python and C++ • Experience with a commercial structural dynamics solver (Nastran, Abaqus, Ansys, Optistruct) • Experience in programming on Linux environment • Experience in acoustic research, • Some experience in the design of complex object-oriented software : o C++: generic programming, Standard Template Library, boost libraries; o Python: C-bindings, python extension libraries, numpy, scipy, matplotlib. o Familiar with versioning system GIT, CI/CD development processes and containerization tools o Experience in Qt framework and VTK library is a plus o Basic knowledge of CAE-FEM tools (Ansa, Catia, Hypermesh) is a plus • Soft skills including being creative, self-learner autonomous, curious, capable of thinking out of the box, solution-oriented attitude, quality awareness, team spirit and flexibility • With good level of English. Show more Show less

Team : Artificial Intelligence Centre of Excellence Role : ML Engineer Location : Bangalore/Chennai Job Type : Contract Experience Level : Bachelors/Masters degree in Data Science, Computer Science, or a related field from a reputed institute. Candidates with 1+ years of work experience preferred. Position overview: We are seeking a ML Engineer with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1+ years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators for Tata Communications products and services. Role & responsibilities Design, develop, and deploy machine learning systems, including Generative AI models and LLMs. Research and implement state-of-the-art ML algorithms and tools. Conduct data preprocessing, feature engineering, and statistical analysis. Train, fine-tune, and optimize machine learning models for performance and accuracy. Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts. Extend existing ML frameworks and libraries to meet project requirements. Stay updated with the latest advancements in machine learning and AI. Preferred candidate profile Working knowledge of machine learning and deep learning skills. Strong knowledge of programming knowledge Python, SQL and commonly used frameworks & tools PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. - must have Experience in handling databases (SQL and NoSQL)

Position: Lead Data Scientist (12-18 years) We are seeking a talented and experienced Data Scientist to join our growing team. The ideal candidate will have a strong background in supply chain and operations, with expertise in developing advanced data science solutions for anomaly detection, forecasting, and revenue optimization using convolutional neural networks (CNN), Python, and PySpark. Location: Chennai/Bangalore/Pune/Nagpur Roles & Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for leveraging data science to drive revenue growth and improve operational efficiency in the supply chain and operations domain. Design, develop, and deploy advanced data science models and algorithms for traditional and GenAI business products, with a focus on CNN anomaly detection, forecasting, and revenue optimization. Analyse large and complex datasets to extract actionable insights and develop predictive models that provide valuable business intelligence and support data-driven decision-making processes. Implement scalable and efficient data processing pipelines using Python and PySpark to pre-process, clean, and transform raw data into a format suitable for analysis and modelling. Evaluate the performance of data science models using appropriate metrics and techniques, and iterate on model design and parameters to continuously improve accuracy and effectiveness. Collaborate with software engineers and DevOps teams to integrate data science models into production systems and ensure scalability, reliability, and performance. Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence technologies, and proactively identify opportunities to apply new techniques and methodologies to solve business challenges. Essential Skills: Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related field. Advanced degree preferred. 10+ years of experience in data science, machine learning, and predictive analytics, with a focus on supply chain and operations. Strong proficiency in Python and PySpark for data manipulation, analysis, and modelling. Experience with libraries such as Pandas, NumPy, TensorFlow, and PyTorch is highly desirable. Solid understanding of convolutional neural networks (CNN) and deep learning techniques for anomaly detection, forecasting, and revenue optimization. Experience working with large-scale datasets and distributed computing frameworks for processing and analysing big data, such as Hadoop, Spark, and Databricks. Proven track record of developing and deploying data science solutions in production environments, with a focus on delivering measurable business impact and value. Excellent communication skills and ability to effectively collaborate with cross-functional teams, including business stakeholders, data engineers, software developers, and product managers. Strong analytical and problem-solving skills, with a passion for using data-driven approaches to solve complex business problems and drive innovation. Good to have This individual will be self-directed, highly motivated, and organized with strong analytical thinking and problem-solving skills, and have an ability to work on multiple projects and function in a team environment. Expertise in managing complex projects, ensuring timely delivery and adherence to budget. Qualifications: B.E/B.Tech/M.Tech qualification Qualities: Strong leadership and team management Excellent project management skills Effective communication and collaboration Analytical and strategic thinking Adaptability in multi-cultural environments Show more Show less

Experience and Qualification:  B.E./ B.Tech. or M.C.A. in Computer Science from a reputed University  Total 5 to 8 years of experience with application development on Python language, API development along with Snaplogic, Oracle RDBMS, SQL, PL/SQL Essential Skills  Must have technical skills o Knowledge of latest Python frameworks and technologies (e.g., Django, Flask, FastAPI) o Experience with SnapLogic cloud-native integration platform. Ability to design and implement integration pipelines using SnapLogic o Experience with Python libraries and tools (e.g., Pandas, NumPy, SQLAlchemy) o Strong experience in designing, developing, and maintaining RESTful APIs. o Familiarity with API security, authentication, and authorization mechanisms (e.g., OAuth, JWT) o Good experience and hands-on knowledge of PL/SQL (Packages/Functions/Ref cursors)  Good to have technical skills: o Hands-on experience with Kubernetes for container orchestration o Knowledge of deploying, managing, and scaling applications on Kubernetes clusters o Proficiency in AWS services (e.g., EC2, S3, RDS, Lambda). o Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Key Responsibilities  Develop and maintain high-quality Python code for API services.  Design and implement containerized applications using Kubernetes.  Utilize AWS services for cloud infrastructure and deployment.  Create and manage integration pipelines using SnapLogic.  Write and optimize PL/SQL stored procedures for database operations.  Collaborate with cross-functional teams to deliver high-impact solutions.  Ensure code quality, security, and performance through best practices. Show more Show less

Skills - Python , Django, Snaplogic Location - Bangalore and gurgaon Essential Skills  Must have technical skills o Knowledge of latest Python frameworks and technologies (e.g., Django, Flask, FastAPI) o Experience with SnapLogic cloud-native integration platform. Ability to design and implement integration pipelines using SnapLogic o Experience with Python libraries and tools (e.g., Pandas, NumPy, SQLAlchemy) o Strong experience in designing, developing, and maintaining RESTful APIs. o Familiarity with API security, authentication, and authorization mechanisms (e.g., OAuth, JWT) o Good experience and hands-on knowledge of PL/SQL (Packages/Functions/Ref cursors)  Good to have technical skills: o Hands-on experience with Kubernetes for container orchestration o Knowledge of deploying, managing, and scaling applications on Kubernetes clusters o Proficiency in AWS services (e.g., EC2, S3, RDS, Lambda). o Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Key Responsibilities  Develop and maintain high-quality Python code for API services.  Design and implement containerized applications using Kubernetes.  Utilize AWS services for cloud infrastructure and deployment.  Create and manage integration pipelines using SnapLogic.  Write and optimize PL/SQL stored procedures for database operations.  Collaborate with cross-functional teams to deliver high-impact solutions.  Ensure code quality, security, and performance through best practices. Show more Show less

Job Title: Data Analyst Trainee Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Data & Analytics Job Summary: We are seeking a motivated and analytical Data Analyst Trainee to join our remote analytics team. This internship is perfect for individuals eager to apply their data skills in real-world projects, generate insights, and support business decision-making through analysis, reporting, and visualization. Key Responsibilities: Collect, clean, and analyze large datasets from various sources Perform exploratory data analysis (EDA) and generate actionable insights Build interactive dashboards and reports using Excel, Power BI, or Tableau Write and optimize SQL queries for data extraction and manipulation Collaborate with cross-functional teams to understand data needs Document analytical methodologies, insights, and recommendations Qualifications: Bachelor’s degree (or final-year student) in Data Science, Statistics, Computer Science, Mathematics, or a related field Proficiency in Excel and SQL Working knowledge of Python (Pandas, NumPy, Matplotlib) or R Understanding of basic statistics and analytical methods Strong attention to detail and problem-solving ability Ability to work independently and communicate effectively in a remote setting Preferred Skills (Nice to Have): Experience with BI tools like Power BI, Tableau, or Google Data Studio Familiarity with cloud data platforms (e.g., BigQuery, AWS Redshift) Knowledge of data storytelling and KPI measurement Previous academic or personal projects in analytics What We Offer: Monthly stipend of ₹25,000 Fully remote internship Mentorship from experienced data analysts and domain experts Hands-on experience with real business data and live projects Certificate of Completion Opportunity for a full-time role based on performance Show more Show less

Company Description Optimum Data Analytics is a strategic technology partner delivering reliable turnkey AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction. We bring experience and clarity to organizations, powering every human decision with analytics & AI. Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives. Job Details Position: Python Full Stack Developer Experience: 6+ years Work Mode: Onsite Location: Viman Nagar Rd, Pune. Must Have Skills: Python, NumPy & Pandas, Angular, SQL, Flask/Fast API Job Responsibilities Design, develop, and maintain scalable Python applications and systems. Collaborate with cross-functional teams to design and implement features and functionalities. Utilize Numpy & Pandas for data manipulation and analysis. Develop, test, and deploy full-stack web applications using Angular for the frontend. Integrate with SQL databases, writing optimized queries to interact with large data sets. Perform data processing and transformation tasks using Python libraries and ensure data accuracy and consistency. Troubleshoot and debug issues in code, optimizing performance as necessary. Adhere to best coding practices and participate in code reviews to ensure high-quality deliverables. Collaborate with team members to deliver features in an agile environment. Ensure the smooth deployment of applications and continuous integration/continuous delivery (CI/CD). Key Skills Python: Strong proficiency in Python programming and its application in both backend and data processing. NumPy & Pandas: Expertise in data manipulation, cleaning, and transformation using NumPy and Pandas. Web Development: Experience with frontend technologies like Angular and ReactJS to build responsive and dynamic web applications. SQL: Strong understanding of SQL to design and query databases efficiently, with knowledge in database optimization. Problem Solving: Ability to think critically and develop efficient, scalable solutions. Version Control: Familiarity with Git or other version control systems. Teamwork: Excellent communication and collaboration skills to work in an agile team environment. Skills: python,pandas,numpy,fast api,sql,angular,flask Show more Show less