2323 Numpy Jobs - Page 10

Experience : 4.00 + years Salary : INR 4000000-5000000 / 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: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : INR 4000000-5000000 / 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: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : INR 4000000-5000000 / 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: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : INR 4000000-5000000 / 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: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : INR 4000000-5000000 / 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: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : INR 4000000-5000000 / 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: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : INR 4000000-5000000 / 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: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : INR 4000000-5000000 / 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: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : INR 4000000-5000000 / 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: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : INR 4000000-5000000 / 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: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : INR 4000000-5000000 / 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: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : INR 4000000-5000000 / 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: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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

So, what’s the role all about? We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. The ideal candidate should have a minimum 4s of years of experience in data science, with hands-on experience in developing and implementing Generative AI solutions. The Senior Data Scientist will be responsible for developing Machine Learning models and collaborating with cross-functional teams to solve complex business problems How will you make an impact? Develop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment. Develop predictive models and machine learning algorithms to extract actionable insights from large and complex datasets. Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data. Collaborate with stakeholders to understand business requirements and translate them into analytical solutions that drive value and impact. Stay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges Have you got what it takes? Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred. Minimum of 4 years of hands-on experience in data science and machine learning , with at least 6 months of experience in Generative AI development. Proficiency in programming languages such as Python or R, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, Hugging Face - Transformers, LangChain etc.). Strong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and deep learning. Strong understanding of LLMs, NLP techniques, and evaluation methods for generative outputs. Solid foundation in prompt engineering for optimizing AI-generated outputs across different tasks and domains. Excellent problem-solving skills and ability to work independently as well as collaboratively in a fast-paced environment. Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences. Proven leadership abilities, with experience in mentoring junior team members and leading cross-functional projects. Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects. Preferred Qualifications: Experience working in industries such as finance, banking. Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and related services for building and deploying machine learning models. Knowledge of data visualization tools (e.g., Tableau, Power BI) for creating interactive dashboards and reports. Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects. Hands-on experience with vector databases (e.g. Pinecone) and embedding techniques. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7409 Reporting into: Tech Manager Role Type: Individual Contributor

Company Description zipp.ai is building AI to improve Food & Drug Quality. We are revolutionizing Quality & GxP compliance for Pharma and Food industries. Our mission is to ensure 100% compliance with Good Manufacturing Practices (GMP) by proactively detecting deviations and analyzing process gaps. We provide innovative solutions to tackle quality and compliance challenges faced by manufacturers, leveraging advanced technology and AI to enhance product quality and operational efficiency. Why Join zipp.ai? High Impact: You will be a foundational member of the AI team, with your work directly shaping our core products and value proposition. Cutting-Edge Work: Tackle challenging problems at the intersection of AI and a critical, regulated industry. Growth & Mentorship: Work directly with an experienced founding team (ex-Microsoft, ex-Accenture) and a world-class advisory board. Startup Culture: Experience a fast-paced, agile, and collaborative environment with significant learning opportunities. Competitive Compensation: We offer a competitive salary and the potential for equity (ESOPs) for a core team member. Role Description As an AI/ML Engineer at zipp.ai, you will be at the heart of our product innovation. You will research, design, develop, and deploy the core AI models that power our platform, from analyzing complex regulatory documents to identifying anomalies in manufacturing data. This role requires a strong foundation in machine learning and a passion for applying cutting-edge technology, especially Large Language Models (LLMs) and Natural Language Processing (NLP), to solve real-world problems. Key Responsibilities Design, train, fine-tune, and deploy ML/NLP models for tasks such as document understanding, gap analysis, data classification, and trend analysis. Work extensively with LLMs, including prompt engineering, fine-tuning, and implementing retrieval-augmented generation (RAG) pipelines for our domain-specific conversational AI features. Develop and maintain data processing pipelines for cleaning, preparing, and managing large datasets (primarily textual and structured data). Integrate trained models into our cloud-based application (hosted on Azure) by building and maintaining robust APIs. Rigorously evaluate model performance using appropriate metrics (accuracy, precision, recall, etc.) and continuously iterate to improve results. Collaborate closely with our CTO, product team, and GxP domain experts to translate business requirements into technical AI solutions. Stay current with the latest advancements in AI, ML, and NLP and champion new techniques that can enhance our product suite. Skills & Qualifications We Require: Proven hands-on experience in building and deploying machine learning or generative AI models. Strong proficiency in Python and core AI/ML libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Solid experience with Natural Language Processing (NLP) techniques and libraries (e.g., Hugging Face Transformers, NLTK, spaCy). Demonstrable experience working with Large Language Models (LLMs) and associated technologies. Familiarity with software engineering best practices, including version control (Git) and API development. What Will Make You Stand Out (Preferred Skills): Experience with cloud platforms, particularly Microsoft Azure and its AI/ML services. Understanding of MLOps principles for managing the model lifecycle. Experience with vector databases and semantic search. Startup experience and a proactive, problem-solving mindset. If you are driven to build intelligent solutions that have a real-world impact on product quality and safety, we would love to hear from you. How to Apply: Please apply directly via LinkedIn or send your resume and a brief introduction to hr@zipp-ai.com Show more Show less

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Experience: 5+ Years Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy). Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems. Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn. Practical experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), and the ability to apply them to real-world problems. Excellent problem-solving skills, with a creative and analytical mindset. Strong communication and teamwork skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels. Experience with AI ethics and responsible AI practices RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Show more Show less

Position-Azure Data Engineer Location- Pune Mandatory Skills- Azure Databricks, pyspark Experience-5 to 9 Years Notice Period- 0 to 30 days/ Immediately Joiner/ Serving Notice period Must have Experience: Strong design and data solutioning skills PySpark hands-on experience with complex transformations and large dataset handling experience Good command and hands-on experience in Python. Experience working with following concepts, packages, and tools, Object oriented and functional programming NumPy, Pandas, Matplotlib, requests, pytest Jupyter, PyCharm and IDLE Conda and Virtual Environment Working experience must with Hive, HBase or similar Azure Skills Must have working experience in Azure Data Lake, Azure Data Factory, Azure Databricks, Azure SQL Databases Azure DevOps Azure AD Integration, Service Principal, Pass-thru login etc. Networking – vnet, private links, service connections, etc. Integrations – Event grid, Service Bus etc. Database skills Oracle, Postgres, SQL Server – any one database experience Oracle PL/SQL or T-SQL experience Data modelling Thank you Show more Show less

EXL (NASDAQ: EXLS) is a $7 billion public-listed NASDAQ company and a rapidly expanding global digital data-led AI transformation solutions company with double digit growth. EXL Digital division spearheads the development and implementation of Generative AI (GenAI) business solutions for our clients in Banking & Finance, Insurance, and Healthcare. As a global leader in analytics, digital transformation, and AI innovation, EXL is committed to helping clients unlock the potential of generative AI to drive growth, efficiency, and innovation. Job Summary We are seeking a highly skilled AI/ML Engineer - Generative AI to design, develop, and deploy production-grade AI systems and agentic applications. The ideal candidate will have a strong background in Python 3.11+, deep learning, large language models, and distributed systems, with experience building performant, clean, and scalable services. Key Responsibilities Build and maintain high-performance REST/WebSocket APIs using FastAPI (Pydantic v2). Implement and optimize agentic AI systems using LangGraph, AutoGen, and LangChain. Architect real-time event-driven microservices using Apache Kafka 4.0 and KRaft. Design clean, testable services using SOLID principles, Python async, and type hints. Integrate vector databases like Pinecone and Weaviate for embedding storage and retrieval. Implement graph databases like Neo4j for knowledge graph-based use cases. Manage experiment tracking and model lifecycle using MLflow 3.0 or Weights & Biases. Build and deploy containers using Docker, GitHub Actions, and Kubernetes (nice-to-have). Maintain CI/CD pipelines and infrastructure as code with Git and optionally Terraform. Stay current with trends in GenAI, deep learning, and orchestration frameworks. Minimum Qualifications Bachelor's degree in computer science, Data Science, or related field. 5+ years of experience in AI/ML engineering with focus on LLMs and NLP. 2–3 years of hands-on experience with GenAI and LLMs (e.g., GPT, Claude, LLaMA3). Proficiency in Python 3.11+ (async, typing, OOP, SOLID principles). Experience with FastAPI, Pydantic v2, PyTorch 2.x, Hugging Face Transformers. Working knowledge of agentic frameworks like LangChain, LangGraph, or AutoGen. Experience building REST/WebSocket APIs and microservices with Kafka streams. Proficient in SQL, Pandas, and NumPy for data manipulation. Preferred Qualifications Master’s or PhD degree in Computer Science, Data Science, or related field. Familiarity with Graph DBs such as Neo4j for knowledge graphs. Experience with Vector DBs like Pinecone, Weaviate. Proficiency in MLflow 3.0 or Weights & Biases for experiment tracking. Experience with CI/CD pipelines, containerization (Docker), and orchestration (K8s) and automated deployment workflows. Exposure to Infrastructure as Code (IaC) using Terraform. Knowledge of advanced optimization, quantization, and fine-tuning techniques. Skills and Competencies Proven ability to architect GenAI solutions and multi-agent systems. Strong testing skills (unit, integration, performance). Excellent communication and cross-functional collaboration. Strong analytical and problem-solving skills. Leadership and mentoring capability for engineering teams. Show more Show less

Organizational Context: Company Name- CIMET CIMET - A Comparison Software Leader Website- www.cimet.com.au Product Link - https://www.econnex.com.au/ LinkedIn- https://www.linkedin.com/company/cimet/about CIMET provides end-to-end comparison and signup of energy, telecommunication, credit cards and other products plans through its online solution in a B2B and B2C environment. It presently caters to more than 40+ Utilities and Financial Service providers and has over 200+ partners. The online comparison market is extremely crowded in Australia, with most comparators providing a light touch directory solution. CIMET saw this as an opportunity and developed a fully integrated online comparison and signup platform. On 15 March 2022, CIMET partnered with iSelect who acquired a 49% stake in CIMET Holdings. Going forward, CIMET will use this investment from iSelect to expand into new products including Credit Cards, Home loans, Car loans, Personal loans, Life Insurance, Health Insurance, Pet Insurance among others. CIMET today has around 200+ team members, across Australia, India and Philippines and will double over the next 2 years. Purpose Of The Position: We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven solutions.. Key Responsibilities : · Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms. · Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes. · Lead the development of Generative AI solutions, including content generation and automation. · Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions. · Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability. · Perform data exploration, analysis, and feature engineering to improve model performance. · Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities. · Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment. · Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions. · Work on model interpretability, explainability, and ensure models are built in an ethical and responsible manner. Required Skills And Qualifications: · 5+ years of experience in data science or machine learning, with a focus on building and deploying AI models. · Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques. · Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks. · In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks). · Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc. · Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. · Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK. · Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models. · Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases. · Knowledge of MLOps and experience deploying models in production environments. · Strong problem-solving skills and a deep understanding of statistical methods and algorithms. Preferred Qualifications: · Experience with Reinforcement Learning and Recommender Systems personalization techniques. · Experience of working with AWS Bedrock services. · Familiarity with ethical AI and model bias mitigation techniques. · Experience with A/B testing, experimentation, and performance tracking for AI models in production. · Prior experience mentoring junior data scientists and leading AI/ML projects. · Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders. Why Join Us? • Opportunity to be part of a rapidly growing, innovative product-based company. • Collaborate with a talented, driven team focused on building high-quality software solutions. • Competitive compensation and benefits package. Show more Show less

Artificial Intelligence and Machine Learning Engineering – Associate Director, Corporate Technology

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Design, develop, and maintain high-performance, reliable, and scalable Python-based applications. Collaborate with cross-functional teams including designers, developers, and product managers to implement software solutions that meet business goals. Contribute to all phases of the development lifecycle, from proposing and designing new features to rolling out significant changes in functionality. Write reusable, testable, and efficient code while adhering to industry best practices and standards. Debug and optimize existing code and perform regular code reviews for peers to ensure software integrity, quality, and security. Identify and resolve bottlenecks and bugs to improve application performance. Provide technical support and guidance to junior developers, assisting in their professional growth. Stay informed of emerging technologies and industry trends to ensure the company's applications remain at the forefront of innovation. Required Skills: Proficiency in Python with a strong understanding of its libraries and frameworks such as Django or Flask. In-depth knowledge of data structures, algorithms, and software design patterns. Experience with version control systems, particularly Git. Solid understanding of both frontend and backend development, preferably with knowledge of RESTful API design and implementation. Ability to write efficient code that is scalable and maintainable. Strong problem-solving skills and the ability to work independently as well as in a team environment. Excellent communication skills for effective collaboration and reporting. Preferred Skills: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with distributed systems and microservices architecture. Knowledge of containerization technologies like Docker or Kubernetes. Experience with data analysis and manipulation using libraries such as Pandas or NumPy. Understanding of Continuous Integration/Continuous Deployment (CI/CD) pipelines. Exposure to machine learning frameworks like TensorFlow or Scikit-learn. Prior experience with database technologies, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra). Mandatory Skill Sets: Python Preferred Skill Sets: Python Years Of Experience Required: 5-10 Years Education Qualification: BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 12 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Description Enphase Energy is a global energy technology company and a leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, our innovative microinverter technology revolutionized solar power, making it a safer, more reliable, and scalable energy source. Today, the Enphase Energy System enables users to make, use, save, and sell their own power. Enphase is also one of the most successful and innovative clean energy companies in the world, with more than 80 million products shipped across 160 countries. Join our dynamic teams designing and developing next-gen energy technologies and help drive a sustainable future! About The Role We are seeking a dynamic Senior Pricing Analyst to join our team. The ideal candidate will have 3-5 years of experience in pricing analysis, with a strong educational background and expertise in Excel, Power BI, and Power Query. This role will primarily focus on conducting extensive number crunching, analyzing pricing data, and providing strategic insights to optimize our pricing strategies. What will you do Pricing Analysis: Conduct in-depth analysis of pricing data to identify trends, patterns, and opportunities for optimization. Develop and maintain pricing models to support strategic decision-making. Monitor competitor pricing strategies and market trends to inform pricing adjustments. Provide recommendations for pricing adjustments based on analysis of cost structures, market dynamics, and customer behaviour. Reporting and Visualization: Custodian for maintaining and building pricing metrics. Build models and dashboards to organize, visualize, and disseminate data analysis/ insights Maintain List prices in excel/SQL, Incorta, Salesforce, Oracle, Anaplan. Utilize Excel, Power BI, and Power Query to create visually appealing and insightful reports and dashboards. Identify and implement process improvements to streamline data collection and analysis Ad-hoc Projects and Automation: Participate in various analysis projects to represent data. Automate data analysis using Python , R or power query Data Analysis and Modelling: Utilize advanced analytics tools such as Python, Pandas, and NumPy to conduct complex data analysis and modelling. Develop predictive pricing models to forecast demand, evaluate pricing scenarios, and inform strategic decision-making. Cross-Functional Collaboration: Collaborate with sales, marketing, finance, and product teams to present data and align KPI’s. Who you are and what you bring: Bachelor’s degree in business administration, Finance, Economics, or related field. MBA preferred. 2+ years of experience in pricing analysis, with a focus on B2B ,services and B2C pricing. Expertise in Excel, Power BI, and Power Query, as well as proficiency in Python, Pandas, and NumPy. Strong analytical and problem-solving skills, with a keen attention to detail. Excellent executive presentation skills and the ability to convey complex concepts through storytelling in PowerPoint. Ability to thrive in a fast-paced, dynamic environment and effectively manage multiple priorities. Strong business acumen and understanding of pricing strategies in the B2B context. Join our team and lead the charge in developing and implementing pricing strategies that drive business growth and profitability. If you have a passion for pricing, proven leadership skills, and a knack for storytelling, we want to hear from you! Show more Show less

Description Enphase Energy is a global energy technology company and a leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, our innovative microinverter technology revolutionized solar power, making it a safer, more reliable, and scalable energy source. Today, the Enphase Energy System enables users to make, use, save, and sell their own power. Enphase is also one of the most successful and innovative clean energy companies in the world, with more than 80 million products shipped across 160 countries. Join our dynamic teams designing and developing next-gen energy technologies and help drive a sustainable future! About The Role We are seeking a dynamic Senior Pricing Analyst to join our team. The ideal candidate will have 3-5 years of experience in pricing analysis, with a strong educational background and expertise in Excel, Power BI, and Power Query. This role will primarily focus on conducting extensive number crunching, analyzing pricing data, and providing strategic insights to optimize our pricing strategies. What will you do Pricing Analysis: Conduct in-depth analysis of pricing data to identify trends, patterns, and opportunities for optimization. Develop and maintain pricing models to support strategic decision-making. Monitor competitor pricing strategies and market trends to inform pricing adjustments. Provide recommendations for pricing adjustments based on analysis of cost structures, market dynamics, and customer behaviour. Reporting and Visualization: Custodian for maintaining and building pricing metrics. Build models and dashboards to organize, visualize, and disseminate data analysis/ insights Maintain List prices in excel/SQL, Incorta, Salesforce, Oracle, Anaplan. Utilize Excel, Power BI, and Power Query to create visually appealing and insightful reports and dashboards. Identify and implement process improvements to streamline data collection and analysis Ad-hoc Projects and Automation: Participate in various analysis projects to represent data. Automate data analysis using Python , R or power query Data Analysis and Modelling: Utilize advanced analytics tools such as Python, Pandas, and NumPy to conduct complex data analysis and modelling. Develop predictive pricing models to forecast demand, evaluate pricing scenarios, and inform strategic decision-making. Cross-Functional Collaboration: Collaborate with sales, marketing, finance, and product teams to present data and align KPI’s. Who you are and what you bring: Bachelor’s degree in business administration, Finance, Economics, or related field. MBA preferred. 2+ years of experience in pricing analysis, with a focus on B2B ,services and B2C pricing. Expertise in Excel, Power BI, and Power Query, as well as proficiency in Python. Strong analytical and problem-solving skills, with a keen attention to detail. Excellent executive presentation skills and the ability to convey complex concepts through storytelling in PowerPoint. Ability to thrive in a fast-paced, dynamic environment and effectively manage multiple priorities. Strong business acumen and understanding of pricing strategies in the B2B context. Show more Show less

Maximize Your Impact with TP Welcome to TP, a global hub of innovation and empowerment, where we redefine the future. With a remarkable €10 billion annual revenue and a global team of 500,000 employees serving 170 countries in over 300 languages, we lead in intelligent, digital-first solutions. As a globally certified Great Place to Work in 72 countries, our culture thrives on diversity, equity, and inclusion. We value your unique perspective and believe that your talent is the missing piece that completes our vision for a brighter, digitally driven tomorrow. The Opportunity The AI Data Engineer designs, develops, and maintains robust data pipelines to support AI data services operations, ensuring smooth ingestion, transformation, and extraction of large, multilingual, and multimodal datasets. This role collaborates with cross-functional teams to optimize data workflows, implement quality checks, and deliver scalable solutions that underpin our analytics and AI/ML initiatives. The Responsibilities Create and manage ETL workflows using Python and relevant libraries (e.g., Pandas, NumPy) for high-volume data processing. Monitor and optimize data workflows to reduce latency, maximize throughput, and ensure high-quality data availability. Work with Platform Operations, QA, and Analytics teams to guarantee seamless data integration and consistent data accuracy. Implement validation processes and address anomalies or performance bottlenecks in real time. Develop REST API integrations and Python scripts to automate data exchanges with internal systems and BI dashboards. Maintain comprehensive technical documentation, data flow diagrams, and best-practice guidelines. The Qualifications Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field. Relevant coursework in Python programming, database management, or data integration techniques. 3–5 years of professional experience in data engineering, ETL development, or similar roles. Proven track record of building and maintaining scalable data pipelines. Experience working with SQL databases (e.g., MySQL, PostgreSQL) and NoSQL solutions (e.g., MongoDB). AWS Certified Data Analytics – Specialty, Google Cloud Professional Data Engineer, or similar certifications are a plus. Advanced Python proficiency with data libraries (Pandas, NumPy, etc.). Familiarity with ETL/orchestration tools (e.g., Apache Airflow). Understanding of REST APIs and integration frameworks. Experience with version control (Git) and continuous integration practices. Exposure to cloud-based data solutions (AWS, Azure, or GCP) is advantageous. Pre-Employment Screenings By TP policy, employment in this position will be contingent on your successful completion and passage of a comprehensive background check, including global sanctions and watch list screening. Important | Policy on Unsolicited Third-Party Candidate Submissions TP does not accept candidate submissions from unsolicited third parties, including recruiters or headhunters. Applications will not be considered, and no contractual association will be established through such submissions. Diversity, Equity & Inclusion At TP, we are committed to fostering a diverse, equitable, and inclusive workplace. We welcome individuals from all backgrounds and lifestyles and do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences. Show more Show less

Wissen Technology is Hiring fo r SQL With Python 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 a skilled and detail-oriented candidate with a strong foundation in SQL, Python, and data processing techniques. The ideal candidate is passionate about transforming raw data into meaningful insights and has hands-on experience across the data pipeline—from data wrangling to visualization. Experience: 3 -7 Years Location: Bengaluru Required Skills: Strong experience with SQL (e.g., joins, subqueries, CTEs, window functions). Proficiency in Python for data manipulation (e.g., pandas, NumPy). Experience working with relational databases like MySQL, PostgreSQL, SQL Server, or Oracle . Hands-on experience in data wrangling , cleaning, and feature engineering. Understanding of ETL processes and tools . Familiarity with version control systems like Git. Knowledge of data visualization techniques and tools. Strong problem-solving and analytical skills. 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 W ork® 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

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