50+ Computer Vision Jobs in India
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Deep LearningJob Title: Senior Data Scientist
Location: Hyderabad, India
Experience Level: 3+ years
Job Summary:
We are seeking a highly skilled Senior Data Scientist to join our dynamic team. The ideal candidate will have expertise in Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Computer Vision, Transformers, Retrieval-Augmented Generation (RAG), and Generative AI (LLMs, Diffusion Models, etc.). Additionally, proficiency in Prompt Engineering is required. The role also demands secondary skills in Django, Database Management (MySQL, NoSQL), and REST API development.
Required Skills & Qualifications:
Programming: Proficiency in Python.
Machine Learning & Deep Learning: Strong experience in developing and deploying ML/DL models.
NLP: Expertise in working with NLP frameworks such as Hugging Face Transformers, SpaCy, NLTK, etc.
Computer Vision: Experience with OpenCV, TensorFlow, PyTorch, or other relevant frameworks.
Generative AI: Hands-on experience with LLMs, diffusion models, GANs, VAEs, and other generative techniques.
Transformers & RAG: Strong understanding of transformer architectures (BERT, GPT, LLAMA, etc.) and retrieval-augmented generation methods.
Prompt Engineering: Ability to design, optimize, and implement effective prompts for AI applications.
Django: Experience in building and maintaining backend services and APIs.
Database Management: Proficiency in MySQL and NoSQL databases for efficient data handling.
REST API Development: Experience in developing and integrating APIs for AIpowered applications.
Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and deployment tools like Docker & Kubernetes.
Data Science
Machine Learning (ML)Job Description
Role: Data Scientist
Location: Hyderabad, India
Experience: 1-3 Years
Introduction to the company
Inncircles Technologies is a problem-solving company. With powerful data management capabilities and AI-driven algorithms, we have developed a construction management platform named Inncircles Arena, a one-stop solution for managing any construction project.
Inncircles Arena can help construction industry owners, builders, general contractors, and specialist contractors to improve construction management operations efficiency and project management. The application runs on a cloud-based platform and offers a complete range of tools to gather field data through a user-friendly interface and mobile applications.
Due to the software's modern, user-friendly design, users can access project information from any location through mobile and web applications. Collaboration tools are integrated into each feature to facilitate effective coordination and ensure all teams are on the same page.
With highly configurable features, products, solutions, and services, we aim to make digital transformation easier and more simplified for construction companies.
Why should you join our team?
● 100% growth with diverse experience working with international clients
● Exposure across media & digital channels
● Dynamic learning curve across Global Landscape
● A part of a young team, ready to experiment together
About the role:
We are looking for a Computer Vision and Machine Learning Engineer with a minimum of 2 years of hands-on experience to join our dynamic team. In this role, you will work on designing and implementing computer vision models and machine learning algorithms to solve real-world problems. You will collaborate with cross-functional teams to deliver cutting-edge solutions that enhance our products and contribute to advancements in AI technology, establish and lead our new vision department.
Key Qualifications:
Experience: 2+ years in computer vision and ML, proficient in Python and frameworks .
Skills:
Good knowledge on generative AI and ability to build Agentic Systems.
Building and deploying scalable Models in any Cloud platforms.
Strong foundation in vision systems, image processing, and ML algorithms.
Adaptability: Startup and founding engineer mindset, able to innovate and lead in a fast-growing, collaborative environment.
Preferred Qualifications:
· Familiarity with usecases related to Construction Domain.
· Experience with Cloud Platforms: Familiarity with AWS, Google Cloud, or Azure for model deployment.
· Hands-on Experience in NLP: Knowledge of natural language processing (NLP) is a plus.
· Contributions to Open-Source Projects: Contributions to relevant open-source projects or machine learning competitions (e.g., Kaggle).
Our Philosophy:
● Team > Individual.
○ 1 + 1 = 3
● Velocity (speed+direction) is of the essence.
○ Luck doesn’t favor the bold. But the swift.
● Learn fast. Fail fast.
○ We are happy to experiment as long as we learn from each other.
● Ch (calm) aos.
○ Become the calm within the chaos.
● No ceiling. No speed limit.
○ Performance trumps age, grade, and, in some cases, experience.
● Achieve diligence
○ Cross-check and be persistent in everything you do, read, and believe
● Build owner mindset
○ Act as owner and work with urgency to make a business impact
● Lead with empathy
○ Little emotional intelligence goes a long way.
Behaviors we will track:
Behaviors will account for 40% of performance, while goals contribute to 60%
ALL FOR ONE
We get to the goal together - inspiring, sharing, and creating as a team. We solve problems for all rather than serving our immediate team, group, or function.
● Builds strong relationships with peers and cross-functionally to enable higher performance
● Motivates and can influence others, including those over whom you have no direct authority
● Builds highly effective cross-functional team
AGILE & ACCOUNTABLE
We move swiftly with diligence taking accountability for our work. We seek to streamline and eliminate unnecessary obstacles. We act quickly, not allowing the pace to be captive of perfection. Every delay has a remarkable impact deferred for our customers.
● Raises the bar and is never satisfied with the status quo
● Seeks to simplify and achieve velocity in all tasks
● Steps up and takes leadership to own toughest challenges.
● Delivers the highest quality work in the least time
DECIDE SMART & SURE
We make tough decisions when necessary to ensure our focus on priorities and outcomes. Attuned to opportunity, we make intelligent decisions, adapting to create the best outcomes. We deal comfortably with ambiguity, uncertainty, and risk.
● Deals comfortable with ambiguity, uncertainty & risk
● Makes high-quality decisions in less-than-perfect info
● Delivers business results while positioning us for success in the future
EXPERIMENT & SCALE
Undaunted by failure, we accept what doesn’t work, learn from it, and get on to what does. We collaborate while asking “why” to achieve more than we thought was possible. We build robust processes from the learnings of our small-scale experiments and scale when needed.
● Learns fast, grasps the essence, and can change course quickly where indicated
● Questions relentlessly with endless curiosity
● Builds basic functionalities first, pressure testing and learning from them before scaling
Machine Learning (ML)
PythonWhat you will be doing at Webkul?
- Python Proficiency and API Integration:
- Demonstrate strong proficiency in Python programming language.
- Design and implement scalable, efficient, and maintainable code for machine learning applications.
- Integrate machine learning models with APIs to facilitate seamless communication between different software components.
- Machine Learning Model Deployment, Training, and Performance:
- Develop and deploy machine learning models for real-world applications.
- Conduct model training, optimization, and performance evaluation.
- Collaborate with cross-functional teams to ensure the successful integration of machine learning solutions into production systems.
- Large Language Model Understanding and Integration:
- Possess a deep understanding of large language models (LLMs) and their applications.
- Integrate LLMs into existing systems and workflows to enhance natural language processing capabilities.
- Stay abreast of the latest advancements in large language models and contribute insights to the team.
- Langchain and RAG-Based Systems (e.g., LLamaindex):
- Familiarity with Langchain and RAG-based systems, such as LLamaindex, will be a significant advantage.
- Work on the design and implementation of systems that leverage Langchain and RAG-based approaches for enhanced performance and functionality.
- LLM Integration with Vector Databases (e.g., Pinecone):
- Experience in integrating large language models with vector databases, such as Pinecone, for efficient storage and retrieval of information.
- Optimize the integration of LLMs with vector databases to ensure high-performance and low-latency interactions.
- Natural Language Processing (NLP):
- Expertise in NLP techniques such as tokenization, named entity recognition, sentiment analysis, and language translation.
- Experience with NLP libraries and frameworks like NLTK, SpaCy, Hugging Face Transformers
- Computer Vision:
- Proficiency in computer vision tasks such as image classification, object detection, segmentation, and image generation.
- Experience with computer vision libraries like OpenCV, PIL, and frameworks like TensorFlow, PyTorch, and Keras.
- Deep Learning:
- Strong understanding of deep learning concepts and architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
- Proficiency in using deep learning frameworks like TensorFlow, PyTorch, and Keras.
- Experience with model optimization, hyperparameter tuning, and transfer learning.
- Data Manipulation:
- Strong skills in data manipulation and analysis using libraries like Pandas, NumPy, and SciPy.
- Proficiency in data cleaning, preprocessing, and augmentation techniques.
PythonTitle: Lead AI Engineer
Location: Hyderabad (Hybrid)
About Us:
Oraczen is at the forefront of Generative AI, pioneering next-generation AI-driven applications that redefine industry standards. We are committed to innovation, collaboration, and technical excellence, enabling enterprises to seamlessly integrate artificial intelligence into their operations. Our team consists of top-tier AI experts, engineers, and product innovators dedicated to pushing the boundaries of AI/ML applications. At Oraczen, we foster a culture of continuous learning, inclusion, and excellence to create cutting-edge solutions that transform businesses.
Role Overview:
We are seeking an experienced Lead AI Engineer with 7+ years of expertise in Python and AI/ML to drive the development of scalable, high-performance AI applications. In this role, you will collaborate closely with AI researchers, product managers, and software architects to build advanced AI-driven solutions. As a key technical leader, you will spearhead the design and optimization of Generative AI models, mentor junior engineers, and contribute to solving complex industry challenges using state-of-the-art AI technologies.
Key Responsibilities:
- Design, develop, and deploy enterprise-grade AI applications using Python and leading AI/ML frameworks, applying proven software design patterns to build scalable, efficient, performant, and reliable systems.
- Provide technical guidance and mentorship to engineering team members, fostering a collaborative and innovative environment.
- Collaborate with cross-functional teams—including data scientists, AI researchers, and product managers—to shape AI system architectures and deliver high-quality solutions.
- Develop and optimize machine learning and deep learning models for applications in Natural Language Processing (NLP), Computer Vision, and Generative AI.
- Fine-tune large-scale AI models, ensuring efficiency, accuracy, and performance in production-grade applications.
- Rapidly learn, prototype, and implement proof-of-concepts (POCs) on emerging technologies, contributing to Oraczen Labs’ innovation initiatives.
- Lead code reviews, contribute to technical discussions, and drive continuous improvement in engineering practices.
- Troubleshoot, debug, and optimize AI-driven applications to enhance scalability, reliability, and user experience.
- Foster a “can-do” attitude, demonstrate strong team collaboration skills, and actively contribute to projects in an Agile development environment.
- Contribute to the design and implementation of MLOps pipelines for efficient model deployment and lifecycle management.
- Collaborate on research publications, open-source contributions, and intellectual property generation, supporting Oraczen’s leadership in AI innovation.
Qualifications & Skills:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.
- 7+ years of experience in software development with strong expertise in Python and AI/ML.
- Demonstrated expertise in applying software design patterns to architect scalable and performant systems.
- Deep knowledge of Generative AI, Deep Learning, and Machine Learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI APIs).
- Proven experience in at least one specialization area: Natural Language Processing (NLP), Computer Vision, or Large Language Models (LLMs).
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Familiarity with scalable AI architectures, distributed computing, and data engineering best practices.
- Experience with MLOps tools and practices for deploying AI models in production environments.
- Proven ability to quickly learn and implement POCs using emerging AI technologies for innovative solutions.
- Strong team player with excellent collaboration, communication, and interpersonal skills, and a proactive, can-do mindset.
- Experience working in Agile development methodologies, driving iterative and adaptive software delivery.
- Excellent problem-solving skills with the ability to thrive in a fast-paced, agile development environment.
- Strong leadership, mentorship, and technical communication skills to collaborate effectively with engineering teams.
Belonging at Oraczen:
We’re building more than just innovative technology—we’re building a culture where people from all backgrounds feel welcomed, valued, and empowered to thrive. Our strength lies in the diversity of our perspectives and experiences, and we are committed to cultivating an inclusive environment where everyone can do their best work.
We evaluate applicants based on talent and potential, not background or identity. We welcome candidates of all races, ethnicities, genders, orientations, abilities, and experiences.
Position Name: Computer Vision Engineer
Experience Required: 1-3 years
Department: IT
Roles and Responsibilities:
- Design, develop, and deploy computer vision models and algorithms.
- Collaborate with product and engineering teams to integrate vision systems into end products.
- Analyze and improve accuracy and performance of current vision-based models.
- Research new techniques in deep learning and computer vision for potential integration.
- Maintain proper documentation and version control of models and experiments.
Candidate Specific Skills and Tools Required:
- Proficiency in Python, OpenCV, and deep learning frameworks (TensorFlow, PyTorch).
- Experience with image processing, object detection, and recognition systems.
- Familiarity with model optimization and deployment tools such as TensorRT, ONNX.
- Understanding of MLOps workflows and version control (e.g., Git).
- Experience working in Agile/Scrum teams.
Required Qualification:
- Bachelor’s or Master’s degree in Computer Science, AI/ML, or related fields.
Deep Learning
C++PythonArtificial Intelligence Researcher
Job description
This is a full-time on-site role for an Artificial Intelligence Researcher at Daten & Wissen in Mumbai. The researcher will be responsible for conducting cutting-edge research in areas such as Computer Vision, Natural Language Processing, Deep Learning, and Time Series Predictions. The role involves collaborating with industry partners, developing AI solutions, and contributing to the advancement of AI technologies.
Key Responsibilities:
- Design, develop, and implement computer vision algorithms for object detection, tracking, recognition, segmentation, and activity analysis.
- Train and fine-tune deep learning models (CNNs, RNNs, Transformers, etc.) for various video and image-based tasks.
- Work with large-scale datasets and annotated video data to enhance model accuracy and robustness.
- Optimize and deploy models to run efficiently on edge devices, cloud environments, and GPUs.
- Collaborate with cross-functional teams including data scientists, backend engineers, and UI/UX designers.
- Continuously explore new research, tools, and technologies to enhance our product capabilities.
- Perform model evaluation, testing, and benchmarking for accuracy, speed, and reliability.
Required Skills:
- Proficiency in Python and C++.
- Experience with object detection models like YOLO, SSD, Faster R-CNN.
- Strong understanding of classical computer vision techniques (OpenCV, image processing, etc.).
- Expertise in Machine Learning, Pattern Recognition, and Statistics.
- Experience with frameworks like TensorFlow, PyTorch, MXNet.
- Strong understanding of Deep Learning and Video Analytics.
- Experience with CUDA, Docker, Nvidia NGC Containers, and cloud platforms (AWS, Azure, GCP).
- Familiar with Kubernetes, Kafka, and model optimization for Nvidia hardware (e.g., TensorRT).
Qualifications
- 2+ years of hands-on experience in computer vision and deep learning.
- Computer Science and Data Science skills
- Expertise in Pattern Recognition
- Strong background in Research and Statistics
- Proficiency in Machine Learning algorithms
- Experience with AI frameworks such as TensorFlow or PyTorch
- Excellent problem-solving and analytical skills
Location : Mumbai (Bhayandar)
Responsibilities
- Design and implement advanced solutions utilizing Large Language Models (LLMs).
- Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
- Conduct research and stay informed about the latest developments in generative AI and LLMs.
- Develop and maintain code libraries, tools, and frameworks to support generative AI development.
- Participate in code reviews and contribute to maintaining high code quality standards.
- Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
- Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
- Possess strong analytical and problem-solving skills.
- Demonstrate excellent communication skills and the ability to work effectively in a team environment.
Primary Skills
- Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
- Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and Huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
- Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
- Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
- Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
- Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.
Good communication skills
Computer knowledge
presentable personality
Stock taking and checking
Event planning
We are a start-up based out of Bengaluru & Delhi NCR. We are engaged in development of next generation missions and technologies (NGM&T) towards future warfare needs of the Indian defence forces. It is undertaking research towards enhancing persistence and autonomy for unmanned vehicles and robotic swarms. NRT’s product development portfolio includes a solar power stratospheric high altitude pseudo satellite (HAPS) unmanned platform and an air/ground launched stand-off autonomous system.
Roles and Responsibilities:
● Collaborate with a cross-disciplinary team to design and implement novel AI solutions
● Research state-of-the-art modelling and training techniques
● Propose, prototype, and validate hypotheses to lead our business and product roadmaps
● Evaluate new technologies and innovate to improve product competitiveness
Must have Skills:
● Deep knowledge and hands-on experience of working with various AI/ML models
● Ability to choose/build optimal DNN architecture and end-to-end model delivery pipeline
● Proven track record of applying ML techniques beyond conventional supervised learning (Eg: active learning, reinforcement learning, and knowledge distillation)
● Working knowledge in the following specialized domains of Robotic Navigation or Large Language modelling is a plus
● LLM - Instruction Tuning - RAG Robot Navigation - 3D modeling - Localization - Path planning
● Good in Data-structures and Algorithms
● Well acquainted with programming using python, torch/tensorflow
● Working knowledge of ML-Ops and tools like mlflow will be a plus
● Strong analytical, written, and verbal communication skills
● Mentoring junior ML engineers Experience Masters and 8+ years of experience or PhD with 3+ years experienc
Machine Learning (ML)We are looking for someone who can adapt evolving strategic priorities across various growth phases. The responsibilities will evolve with time but will broadly include:
● Strategy & Vision: Understand the company’s business and research goals and plan
for AI exploration and implementation accordingly
● Research & Innovation:
○ Review state-of-the-art research and experiment with new models,
algorithms, architectures - around agentic AI, recommendation /
personalisation models and agent based marketing modeling / simulation
○ Stay updated with the latest advancements in the field of AI
● Solution development:
○ Lead development of practical, scalable and reliable AI solutions for our
customers
○ Lead model development, training and fine-tuning of both Gen AI a
traditional AI models
● Data strategy & management: Formulate and execute strategy to source, ingest
and process critical data to feed our research projects and AI/ML solutions
● Team Building: Participate in building out the rest of our research and engineering
team
● Experience -
○ 2+ years of experience in machine learning, deep learning or applied
research (academic or industry)
○ Experience with recommendation models (such as DeepFM, DLRM and
others), personalisation or reinforcement learning models
○ Understanding of common AI/ML libraries and frameworks such as PyTorch,
TensorFlow, Numpy, Scikit Learn etc.
○ Programming knowledge in languages such Python or Scala
○ Experience with image/video models would be an added advantage
○ Experience with any marketing specific modeling techniques also a pl
● Mindset -
○ Resourceful, willing to experiment and work in an ambiguous, early stage,
fast-changing environment
○ Excited to innovate and solve challenging problems from first principal
○ Masters degree program in Computer Science, ECE or associated programs -
Data Science, Statistics, AI/ML etc. PhD is a plus, but not mandatory
○ Strong foundation in Mathematics & Statistics
○ Publications in AI/ML or related field
PythonMachine Learning (ML)Deep LearningOverview
C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.
C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.
Global offices
United States | Canada | United Kingdom | United Arab of Emirates | India
Job Responsibilities
- Solve complex business problems by applying NLP, CV and Machine Learning techniques. Integrate these algorithms into multiple product and solution offerings.
- Conduct research to advance the field of generative AI, including staying up-to-date with the latest developments and techniques. Develop new generative models or improve existing ones.
- Build cognitive capabilities in multiple product and solution offerings.
- Systemic study of latest research and industry developments in Artificial Intelligence. Leverage these developments to solve real-world business problems.
- Envisage next-generation challenges and recommend solutions to solve them.
- Facilitate the IP generation process in the organization and works towards patenting of inventions.
Requirements & Qualifications:
- B.E/B.TECH/MS/M.TECH/MCA.
- Knowledge / Competency / Skills: - Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP).
- Knowledge of various Generative AI models and Prompt Engineering.
- Hands-on coding skills in Python, at least 4 years’ python experience. (Preferred) Strong NLP skills.
C5i is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations.
Its a Tech startup scaling up their operations in Bengaluru
Machine Learning (ML)PythonAs the Lead Robotics Software Engineer and Founding Engineer, you will architect and lead the development of robotic software for AI Robots. You’ll design and implement robot manipulation and control algorithm, motion planning systems and navigation system leading the development of robust, scalable solutions that redefine AI-driven robotics in construction.
Key Responsibilities:
- ● Design and optimize motion planning and trajectory systems for robotic construction equipment
- ● Develop control systems for autonomous construction robots
- ● Build and maintain simulation environments for system validation
- ● Implement sensor fusion algorithms for improved robot perception and decision-making
- ● Lead the development of advanced algorithms for robot navigation and control
- ● Collaborate with cross-functional teams to deliver scalable robotics solutions
- Qualifications and Skills:
- ● Bachelor's/Master's (MS or PhD) in Robotics, Computer Science, AI, ML, or related field
- ● 2-7 years of experience in Robotics, Manipulator systems, Control Systems, localization,
- mapping, and navigation
- ● Proficiency in MoveIt2 for manipulation stack, and experience with simulation tools like
- Gazebo, RViz, and NVIDIA Isaac Sim
- ● Strong understanding of control systems, including sensor fusion, Kalman filters, motion
- planning, and trajectory optimization
- ● Excellent programming skills in Python & C++ with familiarity in ROS2
- ● Ability to lead and thrive in a fast-paced startup environment
- Why you should apply:
- ● Join a dynamic startup and work directly with the founders to shape the future of robotics in construction
- ● Be part of a mission to create intelligent robots that eliminate the need for human labour in harsh and unsafe environments
- ● Experience the thrill of building not just a product, but a company from the ground up
C++Deep LearningPls Contact to sairam.akirala
@
kiaraglobalservices.com
798
981 217 8
Skills and attributes for success
To qualify for the role, you must have
- Experience of minimum 2 years, CTC – 18LPA
- Ability to develop Deep Learning frameworks to solve problems.
- Design and create platforms for image processing and visualization.
- Knowledge of computer vision libraries.
- Understanding of dataflow programming.
- B.E. (E&TC /Computer / IT / Mechanical / Electronics)
- C++, video analytics, CUDA, Deepstream
The opportunity
We are currently looking for a Computer Vision Engineer, to join our office in Pune. As a Computer Vision Engineer, you will support our clients in defining and implementing a data journey aligned with their strategic objectives.
Some of your responsibilities will include:
- Work with the research team to research, develop, evaluate, and optimize various computer vision and deep learning models for different problems.
- Take ownership to drive computer vision solutions and meet customer requirements.
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in the future.
- Developing data handling and machine learning pipelines for training
- In-depth understanding of computer vision models including object detection, semantic segmentation, and key-point detection
- Implementing algorithms in robust, efficient, and well-tested code.
Data ScienceMachine Learning (ML)Pls Contact to sairam.akirala
@
kiaraglobalservices.com
798
981 217 8
Location: New Delhi or Remote
Qualifications:
Education: Bachelor’s degree in Business Administration, AI/ML, Data Science, or a related field; MBA preferred.
Experience: Minimum of 5+ years of experience in strategic planning, business development, or operations management, preferably in the AI, IT, or outsourcing industry.
Skills:
- Strong analytical and problem-solving skills.
- Proven ability to craft actionable strategies backed by data-driven insights.
- Excellent communication and stakeholder management abilities.
- Solid leadership experience in managing teams and cross-functional projects.
Technical Knowledge: Understanding of AI, machine learning, and data annotation processes is a strong advantage. Proficiency in tools like Excel, PowerPoint, and data visualization software is required.
Preferred Qualifications:
- Experience in AI-related industries, including data collection, annotation, transcription, or localization.
- Proven track record of driving strategic initiatives that delivered tangible business results.
- Familiarity with global markets and managing offshore teams
Key Responsibilities:
- Strategic Planning
- Market Insights
- Client Growth Strategy
- Operational Optimization
- Performance Tracking
- Revenue and Cost Management
- Innovation Leadership
Data ScienceMachine Learning (ML)Role Description
This is a full-time on-site role for a Data Science Trainer at Technobrilliant Learning Solutions in Pune. The Data Science Trainer will be responsible for conducting science education classes, teaching physics and mathematics concepts, creating lesson plans, and delivering high-quality education to students.
Qualifications
- Qualified Teacher with expertise in lesson planning
- Strong communication and presentation skills
- Ability to engage and motivate students
- Bachelor's or Master's degree in a relevant field (e.g., Data Science, Computer Science)
- Experience in data science or related industry is a plus
Talent Acquisition Specialist
Company: IgniteAndRise
Website: www.IgniteAndRise.in
Job Title: Talent Acquisition Specialist
Employment Type: Full-Time/Part-Time | Remote
Work Location: Remote (Work-from-home)
About Us:
IgniteAndRise is a leading HR solutions provider, specializing in both B2B and B2B2C models. Our mission is to connect top talent with the right career opportunities while offering comprehensive HR services to businesses. From startups to established corporations, we drive growth through recruitment, HR management, policy formulation, and strategic HR consulting.
Job Summary:
We are looking for a proactive and resourceful Talent Acquisition Specialist to join our dynamic team. In this role, you'll be responsible for sourcing, identifying, and recruiting top-tier candidates to meet the diverse hiring needs of our clients. If you are passionate about talent acquisition and thrive in a fast-paced environment, this opportunity is for you!
Key Responsibilities:
Commitment: Dedicate a minimum of 6 months to contribute to IgniteAndRise's growth.
Recruitment: Source, screen, and recruit candidates across sectors, with a focus on sales and technical roles.
Candidate Management: Manage the entire recruitment process from first contact to final placement, ensuring a seamless candidate experience.
Strategic Planning: Develop and execute innovative sourcing strategies beyond job portals to attract top talent.
Client Collaboration: Work closely with clients to understand their hiring needs and provide tailored recruitment solutions.
Process Improvement: Continuously assess and improve recruitment processes to ensure efficiency and high-quality placements.
Required Skills and Experience:
Experience: Minimum 2 years of experience in Recruitment.
Communication: Excellent verbal and written communication skills.
Technical Skills: Proficiency with recruitment software and applicant tracking systems (ATS).
Organization: Strong organizational and time-management skills.
Collaboration: Ability to work independently as well as in a team environment.
Networking: Proven ability to build and maintain professional relationships.
Adaptability: Thrive in a fast-paced and evolving work environment.
What We Offer:
Flexible Work Hours: Full-time and part-time options with remote work.
Compensation: During a 6-month probationary period, a base salary of ₹10,000/month (₹60,000 paid at the end of the contract) plus ₹30,000 for every successful placement.
Post-Probation Benefits: After 6 months, you'll transition to a Fixed CTC salary with a guaranteed 10% hike and potential performance-based hikes of up to 30%.
Training & Growth: Access to training resources, a collaborative culture, and opportunities for career growth.
Payment Timelines: All payments are processed within 45 to 75 days after successful candidate placement.
How to Apply:
We are looking for immediate joiners and serious candidates who are ready to contribute to our growth. If you meet the requirements.
Position: Business Development Associate
Shift Timing: 10 AM to 6 PM - Monday to Saturday (Remote)
Company: JNJ Technologies & Services LLP - http://jnjservices.co.in/
Language: English & Hindi
Salary: 3 LPA to 5 LPA
We are looking for a resilient, empathic Business Development Associate to contribute to the growth of our company. Business development executives are responsible for finding and retaining clients, encouraging extant clients to purchase added products or features, and remaining abreast of changes in consumption.
Requirements:
• Bachelor's degree in business management, marketing, or related field.
• 1 - 3 years' relevant work experience in business development or similar field preferred.
• Excellent written and verbal communication skills.
• Ability to handle multiple projects simultaneously and work under pressure.
• Proficient in Microsoft Office and relevant software.
Responsibilities:
• Identifying profitable business opportunities
• Conducting extensive market research
• Creating actionable business strategies
• Nurturing relationships with clients
• Analyzing market trends.
Machine Learning (ML)Deep LearningFynd is India’s largest omnichannel platform and multi-platform tech company with expertise in retail tech and products in AI, ML, big data ops, gaming+crypto, image editing and learning space. Founded in 2012 by 3 IIT Bombay alumni: Farooq Adam, Harsh Shah and Sreeraman MG. We are headquartered in Mumbai and have 1000+ brands under management, more than 10k stores and servicing 23k + pin codes.
We want new ambitious research members to join our Machine Learning Research group. We are looking for people with a proven track record in computer vision research. In this role, we create new models, algorithms and approaches to solve challenging machine learning problems. Some of our problems areas include Image Restoration, Image Enhancement, Generative Models and 3D computer vision. You will work on various state-of-art new techniques to improve and optimize neural networks and also use computer vision approaches to solve various problems. You will be required to have in-depth knowledge of image processing and convolutional neural networks. You will tackle our challenging problems also have the freedom to try out your ideas and pursue research topics of your interest.
What you will do:
- Engage in advanced research to push the boundaries of computer vision technology. Leverage core image processing and computer vision fundamentals along with focus on transformer based models, generative adversarial networks (GANs), diffusion models, and other advanced deep learning methods.
- Develop and enhance models for practical applications, including image processing, object detection, image segmentation, and scene understanding, leveraging recent innovations in the field.
- Apply contemporary methodologies to address complex, real-world challenges and create innovative, deployable solutions that enhance our products and services.
- Collaborate with cross-functional teams to integrate new computer vision technologies and solutions into our product suite.
- Remain current with the latest developments in computer vision and deep learning, including emerging techniques and best practices.
- Document and communicate research findings through publications in top-tier conferences and journals, and contribute to the academic community.
Skills needed:
- A BS, MS, PhD, or equivalent experience in Computer Science, Engineering, Applied Mathematics, or a related quantitative field.
- Extensive research experience in computer vision, with a focus on deep learning techniques such as transformers, GANs, diffusion, and other emerging models.
- Proficiency in Python, with experience in deep learning frameworks like TensorFlow and PyTorch
- Deep understanding of mathematical principles relevant to computer vision, including linear algebra, optimization, and statistics.
- Proven ability to bridge the gap between theoretical research and practical application, effectively translating innovative ideas into deployable solutions.
- Strong problem-solving skills and an innovative mindset to address complex challenges and apply contemporary research effectively.
What do we offer?
Growth
Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially.
Flex University: We help you upskill by organising in-house courses on important subjects
Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you.
Culture
Community and Team building activities
Host weekly, quarterly and annual events/parties.
Wellness
Mediclaim policy for you + parents + spouse + kids
Experienced therapist for better mental health, improve productivity & work-life balance
We work from the office 5 days a week to promote collaboration and teamwork. Join us to make an impact in an engaging, in-person environment!
Data SciencePythonMachine Learning (ML)- Data Scientist with 4+ yrs of experience
- Good working experience in Computer vision and ML engineering
- Strong knowledge of statistical modeling, hypothesis testing, and regression analysis
- Should be developing APIs
- Proficiency in Python, SQL
- Should have Azure knowledge
- Basic knowledge of NLP
- Analytical thinking and problem-solving abilities
- Excellent communication, Strong collaboration skills
- Should be able to work independently
- Attention to detail and commitment to high-quality results
- Adaptability to fast-paced, dynamic environments
PythonRole Overview:
We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.
Key Responsibilities:
- Develop, implement, and optimize machine learning models and algorithms to support product development.
- Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
- Collaborate with cross-functional teams to define data requirements and product taxonomy.
- Design and build scalable data pipelines and systems to support real-time data processing and analysis.
- Ensure the accuracy and quality of data used for modeling and analytics.
- Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
- Implement best practices for data governance, privacy, and security.
- Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
- 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
- Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
- Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
- Hands-on experience with data visualization tools and techniques.
- Strong understanding of statistics, data analysis, and machine learning concepts.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a fast-paced, dynamic environment.
Preferred Qualifications:
- Knowledge of microservices architecture and RESTful APIs.
- Familiarity with Agile development methodologies.
- Experience in building taxonomy for data products.
- Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
Data ScienceMachine Learning (ML)Job Description
A job where you increase the depth of your expertise in computer vision.
A job where you learn and implement the SOTA papers.
A job where you write vectorized code that runs in seconds, not in minutes.
A job where models learn to see and understand the world around them.
A job where models run real-time because you optimize every byte.
A job where you keep the career promises that you made to yourself.
A job where you keep the learning promises that you made to yourself.
If this scares you, don't read.
If this excites you, we might love you.
Role
We are looking for a passionate Machine Learning Engineer to join our team.
The ideal candidate will be an enthusiastic developer with 2-5 years of experience in the field of Computer Vision and Artificial Intelligence.
If building things and writing code excite you, this is the startup you belong.
Key Technologies
Must be an expert in Python and Numpy.
Experience with Tensorflow/Keras/Pytorch is required.
Unsatiable hunger for writing beautiful code.
Knowledge of python design-patterns.
Some experience with C++ is preferred.
Knowledge working closely with version control (GIT).
Excellent communication skills and being able to work independently.
Strong problem-solving and coding skills override everything else written above.
About AIMonk
Run by IIT Kanpur alumni, AIMonk is a deep tech startup.
We build beautiful and scalable software using computer vision and deep learning.
We pride ourselves in solving problems nobody else can in the space
Data ScienceMachine Learning (ML)Role Description
We are seeking a full-time AI Developer specializing in Generative AI and Large Language Models (LLMs) to join UpSolve Solutions in Mumbai. This client-facing, on-site role involves designing, developing, and deploying AI models, specifically focusing on GenAI and LLMs. The AI Developer will leverage expertise in machine learning, natural language processing, and data science to build cutting-edge AI solutions that drive business innovation and solve complex challenges.
Qualifications
- Expertise in Generative AI and Large Language Models (LLMs)
- Strong background in machine learning algorithms, natural language processing, and predictive modeling
- Proficiency in programming languages such as Python
- Expertise in GCP, AWS or Azure
- Experience with large-scale data processing and model training
- Excellent problem-solving, critical thinking, and analytical skills
- Ability to work with complex datasets, perform data preprocessing, and optimize AI models
- Strong communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders
- Bachelor's or Master’s degree in a relevant field (e.g., Computer Science, Artificial Intelligence, Data Science)
- Experience with video and text analytics is a plus
Data ScienceMachine Learning (ML)DA DS Trainer JD:
Key Responsibilities:
Develop and deliver comprehensive training programs on data science topics, including machine learning, artificial intelligence, big data, data mining, and predictive analytics.
Create engaging and interactive training materials, including presentations, hands-on exercises, case studies, and assessments.
Conduct classroom, online, and one-on-one training sessions for students at different skill levels.
Evaluate students' performance and progress, providing feedback and support to help them improve.
Stay up-to-date with the latest trends and best practices in data science and incorporate them into training programs.
Collaborate with other trainers and industry experts to continuously improve training content and methodologies.
Assist in the development of training schedules and manage training logistics.
Provide mentorship and career guidance to students aspiring to build a career in data science.
Qualifications:
Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; a Master’s degree is a plus.
Proven experience as a Data Science Trainer or a similar role.
In-depth knowledge of data science concepts and hands-on experience with tools like Python, R, TensorFlow, and Hadoop.
Excellent presentation and communication skills.
Strong organizational and time-management abilities.
Ability to simplify complex concepts and deliver them in an understandable manner.
Certification in Data Science (e.g., Microsoft Certified: Azure Data Scientist Associate) is preferred.
Preferred Skills:
Experience with LMS (Learning Management Systems) and e-learning platforms.
Strong analytical and problem-solving skills.
Ability to adapt training methods to different learning styles.
Passion for continuous learning and professional development.
Benefits:
Competitive salary and performance-based incentives.
Professional development opportunities.
Flexible working hours.
Collaborative and innovative work environment.
Data ScienceMachine Learning (ML)We are seeking a highly skilled and motivated Data Scientist to join our team. You will be responsible for extracting insights from complex data sets, developing predictive models, and communicating findings to drive data-informed decision-making within the organization. The ideal candidate will have a strong background in statistics, machine learning, and data visualization, as well as excellent problem-solving and communication skills.
Responsibilities:
- Data Collection and Cleaning: Gather, clean, and preprocess data from various sources, ensuring data quality and integrity.
- Exploratory Data Analysis (EDA): Conduct EDA to understand data distributions, identify patterns, and uncover insights.
- Feature Engineering: Select, transform, and create relevant features to improve model performance.
- Model Development: Develop and implement machine learning models for prediction, classification, and other analytical tasks.
- Model Evaluation and Selection: Evaluate model performance using appropriate metrics and select the best model based on business requirements.
- Model Deployment and Monitoring: Deploy models into production and monitor their performance over time.
Data ScienceMachine Learning (ML)Role Description
This is a full-time client facing on-site role for a Data Scientist at UpSolve Solutions in Mumbai. The Data Scientist will be responsible for performing various day-to-day tasks, including data science, statistics, data analytics, data visualization, and data analysis. The role involves utilizing these skills to provide actionable insights to drive business decisions and solve complex problems.
Qualifications
- Data Science, Statistics, and Data Analytics skills
- Data Visualization and Data Analysis skills
- Strong problem-solving and critical thinking abilities
- Ability to work with large datasets and perform data preprocessing
- Proficiency in programming languages such as Python or R
- Experience with machine learning algorithms and predictive modeling
- Excellent communication and presentation skills
- Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Statistics, Data Science)
- Experience in the field of video and text analytics is a plus
JavaC++
FlutterAbout Us
We offer AI-powered biomechanics analysis to optimize peak athletic performance.. We enhance player development through accessible data and cutting-edge technology, providing clear insights for athletes and their coaches. Our vision is to create a future where AI serves as a powerful tool for athletes of all levels. By providing data-driven insights into biomechanics and facilitating the development of strong technical skills, we aim to unlock potential, reduce injury risk and revolutionize sports training
Job Description:
We are looking for an experienced Flutter Developer to design and develop a high-quality mobile application. The ideal candidate shall have a minimum of 2 years experience in mobile development, proficiency in Flutter, with good knowledge in C++, and desirably understands Computer Vision (CV).
Responsibilities:
- Design, build, and maintain efficient, reusable, and reliable Flutter code.
- Ensure the best possible performance, quality, and responsiveness of applications.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Identify and correct bottlenecks and fix bugs.
- Help maintain code quality, organization, and automation.
- Stay up-to-date with the latest industry trends and technologies.
Requirements:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 2-3 years of professional experience in mobile app development.
- Proficiency in Flutter and Dart.
- Strong knowledge of C++ or Java.
- Exposure to Computer Vision (CV) technologies and frameworks.
- Familiarity with RESTful APIs to connect mobile applications to back-end services.
- Solid understanding of the full mobile development life cycle.
- Experience with version control systems, such as Git.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork skills.
Preferred Skills:
- Experience with Agile/Scrum development methodologies.
- Knowledge of other mobile development frameworks and technologies.
- Familiarity with cloud services and integration (e.g., AWS, Firebase).
- Experience with CI/CD pipelines.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge technologies.
- Collaborative and innovative work environment.
- Professional growth and development opportunities.
Data AnalyticsWe are seeking a dynamic and experienced Senior Pre-Sales Business Analyst to join our team. The incumbent will play a pivotal role in engaging with potential clients and channel partners, providing strategic insights, and crafting tailored solutions to address client needs. This role demands a blend of technical expertise, business acumen, and exceptional communication skills to effectively articulate our value proposition and drive revenue growth.
Responsibilities
· Engage with clients to understand their business objectives, challenges, and requirements related to computer vision applications.
· Conduct detailed analysis and document business requirements, ensuring clarity, completeness, and feasibility.
· Collaborate with the solutioning and development teams to propose innovative and technically viable solutions that meet clients' requirements.
· Act as a liaison between clients and internal teams, effectively communicating and translating business requirements to technical teams.
· Utilize the low-code platform and AI models to design innovative solutions that address client needs.
· Analyze client data and business processes to identify opportunities for optimization and efficiency gains.
· Develop comprehensive proposals and presentations outlining customized solutions tailored to each client's requirements.
· Collaborate with the sales team to develop compelling proposals, presentations, and demonstrations to showcase the value and capabilities of our computer vision products.
· Participate in pre-sales activities, including client meetings, presentations, and workshops, to support business development efforts.
· Conduct market research to identify potential clients, industry trends, and competitive landscape.
· Analyze market data and client feedback to refine product offerings and develop new solutions.
· Stay updated with industry trends, emerging technologies, and competitive landscape related to computer vision and provide insights and recommendations for product enhancements.
· Contribute to the continuous improvement of business analysis processes, tools, and methodologies within the organization.
Qualifications
· Bachelor's degree in Computer Science, Engineering, Business Administration, or a related field.
· 3-4 years of experience as a Business Analyst, preferably with pre-sales experience in the computer vision industry.
· Excellent communication and interpersonal skills to effectively interact with clients, understand their needs, and convey technical information to non-technical stakeholders.
· Proven experience in documenting business requirements, functional specifications, and use cases.
· Ability to collaborate and work effectively with cross-functional teams, including solution architects, developers, and sales professionals.
· Strong analytical and problem-solving skills, with the ability to think critically and propose innovative solutions.
· Proficiency in project management methodologies and tools to ensure timely and successful project delivery.
· Flexibility and adaptability to handle multiple projects simultaneously and work in a fast-paced environment.
· Willingness to travel as required to client locations for meetings, workshops, and presentations.
Data ScienceMachine Learning (ML)Data AnalyticsRole Description
This is a full-time client facing on-site role for a Data Scientist at UpSolve Solutions in Mumbai. The Data Scientist will be responsible for performing various day-to-day tasks, including data science, statistics, data analytics, data visualization, and data analysis. The role involves utilizing these skills to provide actionable insights to drive business decisions and solve complex problems.
Qualifications
- Data Science, Statistics, and Data Analytics skills
- Data Visualization and Data Analysis skills
- Strong problem-solving and critical thinking abilities
- Ability to work with large datasets and perform data preprocessing
- Proficiency in programming languages such as Python or R
- Experience with machine learning algorithms and predictive modeling
- Excellent communication and presentation skills
- Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Statistics, Data Science)
- Experience in the field of video and text analytics is a plus
Data ScienceMachine Learning (ML)About Digit88
Digit88 empowers digital transformation for innovative and high growth B2B and B2C SaaS companies as their trusted offshore software product engineering partner!
We are a lean mid-stage software company, with a team of 75+ fantastic technologists, backed by executives with deep understanding of and extensive experience in consumer and enterprise product development across large corporations and startups. We build highly efficient and effective engineering teams that solve real and complex problems for our partners.
With more than 50+ years of collective experience in areas ranging from B2B and B2C SaaS, web and mobile apps, e-commerce platforms and solutions, custom enterprise SaaS platforms and domains spread across Conversational AI, Chatbots, IoT, Health-tech, ESG/Energy Analytics, Data Engineering, the founding team thrives in a fast paced and challenging environment that allows us to showcase our best.
The Vision: To be the most trusted technology partner to innovative software product companies world-wide
The Opportunity:
As the Data Science Lead, you will own and drive the company's data initiatives, managing a team of data scientists, and ensuring the
As a Data Scientist II, you will be part of the Product Risk Operations team that owns the development of AI-powered technology that helps our clients make communities safer and more resilient. Our technology helps our customers in reducing carbon emissions, reducing infrastructure risk and avoiding fatalities, a fact that we pride ourselves in.
As a part of the Risk Operations team, you will be working on a wide range of activities related to end-to-end Machine Learning (ML) deployments, research and development of ML product features to support internal and external stakeholders. This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.
What You’ll Do
- Become a subject matter expert on products, including understanding how AI can be used in the utilities industry to enable our clients desired outcomes.
- Work closely with cross-functional teams to identify opportunities, design experiments and deploy repeatable and scalable machine learning solutions that drive business impact.
- Lead design of experiments and hypothesis tests related to machine learning product features development.
- Lead design, implementation, and deployment of machine learning models to support existing as well as new customers.
- Communicate findings and recommendations to both technical and non-technical stakeholders through clear visual presentations.
- Monitor and analyze machine learning model performance and data accuracy.
- Mentor junior staff members.
- Stay current with best practices in data science, machine learning and AI.
Who You Are
- 3-5 years of experience building and deploying machine learning models
- Master’s or PHD in statistics, mathematics, computer science or another quantitative field
- Strong problem solving skills with emphasis on product development.
- Well versed in programming languages such as R or Python with experience using libraries such as pandas, scikit-learn, tensor flow .
- Experience with SQL and relational databases for data extraction and manipulation.
- Experience using a variety of Machine Learning techniques for Predictive Modeling, Classification, Natural Language Processing (including Large Language Models), Content Recommendation Systems, Time Series Techniques
- Passionate about being up-to-date with the latest developments in Machine Learning
- Strong organizational, time management, and communication skills
- High degree of accountability
- Utility, Infrastructure or Energy related field experience is a plus
Benefits/Culture @ Digit88:
- Comprehensive Insurance (Life, Health, Accident)
- Flexible Work Model
- Accelerated learning & non-linear growth
- Flat organisation structure driven by ownership and accountability.
- Opportunity to own and be a part of some of the most innovative and promising AI/SaaS product companies in North America and around the world.
- Accomplished Global Peers - Working with some of the best engineers/professionals globally from the likes of Apple, Amazon, IBM Research, Adobe and other innovative product companies
- Ability to make a global impact with your work, leading innovations in Conversational AI, Energy/Utilities, ESG, HealthTech, IoT, PLM and more.
You will work with a founding team of serial entrepreneurs with multiple successful exits to their credit. The learning will be immense just as will the challenges.
This is the right time to join us and partner in our growth!
Data ScienceMachine Learning (ML)Services: Data Scientist
Exp 8+yrs
Location: Pune (preference)
As a Data Scientist who can help us with our innovation lab initiative, you will be responsible for extracting insights from large datasets and turning them into actionable strategies to drive business decisions. You will collaborate with cross-functional teams to identify opportunities for leveraging data to solve business problems and improve processes.
Advanced Degree: PhD or equivalent in Computer Science, Data Science, Statistics, Mathematics, or a related field, demonstrating a strong foundation in theoretical and practical aspects of AI and machine learning.
Deep Technical Expertise: Proven track record of applying advanced statistical models, machine learning algorithms, and computational methodologies to solve complex problems in various domains.
Hands-on Experience with AI Technologies: Extensive experience in designing, implementing, and deploying AI solutions, including but not limited to natural language processing, computer vision, and predictive analytics projects.
Strong Programming Skills: Proficiency in programming languages such as Python, R, or Scala, and familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
Data Manipulation and Analysis: Expertise in handling and analyzing large datasets using SQL, NoSQL, and data processing frameworks (e.g., Spark).
Excellent Communication Skills: Ability to clearly articulate complex technical concepts, findings, and the business value of AI solutions to both technical and non-technical stakeholders.
Understanding of AI Ethics and Bias: Knowledge of ethical AI practices, including bias detection and mitigation strategies, to ensure the development of fair and responsible AI systems.
Problem-Solving Ability: Demonstrated ability to apply analytical and creative thinking to complex challenges, with a track record of innovative solutions in AI.
Collaboration and Leadership: Experience working in cross-functional teams, with the ability to lead projects and mentor junior team members in AI methodologies and best practices.
Industry-Specific AI Application Knowledge: Demonstrated experience in applying AI solutions to real-world problems in industries such as healthcare, finance, retail, or manufacturing, showing a deep understanding of sector-specific challenges and opportunities.
LLM Development and Customization: Hands-on experience in developing, fine-tuning, and deploying Large Language Models for applications such as conversational agents, content generation, and semantic analysis.
Advanced Natural Language Understanding (NLU) and Generation (NLG): Expertise in leveraging LLMs for complex NLU and NLG tasks, demonstrating a deep understanding of language model capabilities and limitations.
About Intraedge: https://intraedge.com/
Intraedge is a Technology, Products and Learning Organization, It was founded in 2002 with offices in the US, India, Europe, Canada, and Singapore. We provide our clients with the resources and expertise to enhance business performance through technology.
Data ScienceMachine Learning (ML)We are seeking a skilled Data Scientist with min 3 years of experience to join our team in Gurugram. This role will also require travelling within India . The ideal candidate should possess strong analytical skills, a solid understanding of statistical techniques, and hands-on experience with data visualization tools like PowerBI. Additionally, expertise in ETL (Extract, Transform, Load) processes is required.
Responsibilities:
- Analyze complex datasets to extract valuable insights and identify trends.
- Develop predictive models and algorithms to support business objectives.
- Collaborate with cross-functional teams to understand data needs and deliver actionable solutions.
Requirements:
- 3 plus years of proven experience as a Data Scientist or similar role.
- Proficiency in statistical analysis, machine learning techniques, and programming languages such as Python or R.
Join our dynamic team and contribute to driving data-driven decisions that impact our business success!
Data ScienceMachine Learning (ML)Join Our Team
● We are seeking a highly skilled and experienced Senior Python Developer to join our dynamic team.
● The ideal candidate will be an expert in developing applications and chatbots utilizing OpenAI and LangChain technologies.
● This role requires proficiency in working with vector stores, interfacing with databases (especially PostgreSQL), and integrating website content and documents (including PDFs) seamlessly into websites.
● The successful candidate will play a pivotal role in driving our AI initiatives, enhancing our digital interfaces, and ensuring a seamless user experience. Key Responsibilities:
● Design and develop advanced applications and chatbots using OpenAI, LangChain, and related technologies.
● Implement and maintain vector stores to optimize AI model performance and data retrieval.
● Interface with PostgreSQL databases, ensuring efficient data storage, retrieval, and management.Integrate dynamic website content and documents (e.g., PDFs) into web applications, enhancing functionality and user experience.Collaborate with cross-functional teams (UI/UX designers, web developers, project managers) to deliver high-quality software solutions.
● Lead the technical design, development, and deployment of AI-powered features, ensuring scalability and reliability.
● Stay abreast of emerging technologies and industry trends to incorporate best practices and innovations into our projects.
● Provide technical mentorship to junior developers and contribute to the team's knowledge-sharing efforts.
Qualifications:
● Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
● At least 10+ years of professional experience in Python development, with a strong portfolio of projects demonstrating expertise in AI and chatbot development.
● Proficiency in OpenAI and LangChain technologies is essential.
● Experience with vector stores (e.g., Pinecone, Weaviate) and their integration into AI applications.
● Solid understanding of database management, particularly PostgreSQL, including schema design, query optimization, and connection pooling.
● Demonstrated ability to integrate website content and documents (PDFs) into web applications.
● Familiarity with web development frameworks (e.g., Django, Flask) and front-end technologies (JavaScript, HTML5, CSS) is a plus.Excellent problem-solving skills, with a creative and analytical approach to overcoming challenges.
● Strong communication and collaboration abilities, with a track record of working effectively in team environments.
Data ScienceMachine Learning (ML)Job Description
Responsibilities:
- Collaborate with stakeholders to understand business objectives and requirements for AI/ML projects.
- Conduct research and stay up-to-date with the latest AI/ML algorithms, techniques, and frameworks.
- Design and develop machine learning models, algorithms, and data pipelines.
- Collect, preprocess, and clean large datasets to ensure data quality and reliability.
- Train, evaluate, and optimize machine learning models using appropriate evaluation metrics.
- Implement and deploy AI/ML models into production environments.
- Monitor model performance and propose enhancements or updates as needed.
- Collaborate with software engineers to integrate AI/ML capabilities into existing software systems.
- Perform data analysis and visualization to derive actionable insights.
- Stay informed about emerging trends and advancements in the field of AI/ML and apply them to improve existing solutions.
Strong experience in Apache pyspark is must
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience of 3-5 years as an AI/ML Engineer or a similar role.
- Strong knowledge of machine learning algorithms, deep learning frameworks, and data science concepts.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with popular AI/ML libraries and frameworks, such as TensorFlow, Keras, PyTorch, or scikit-learn.
- Familiarity with cloud platforms, such as AWS, Azure, or GCP, and their AI/ML services.
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Experience in deploying and scaling machine learning models in production environments.
- Strong problem-solving skills and ability to work on multiple projects simultaneously.
- Excellent communication and teamwork skills.
Preferred Skills:
- Experience with natural language processing (NLP) techniques and tools.
- Familiarity with big data technologies, such as Hadoop, Spark, or Hive.
- Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
- Understanding of DevOps practices for AI/ML model deployment
-Apache ,Pyspark
Machine Learning (ML)Deep LearningData ScienceResponsibilities
- Work on execution and scheduling of all tasks related to assigned projects' deliverable dates
- Optimize and debug existing codes to make them scalable and improve performance
- Design, development, and delivery of tested code and machine learning models into production environments
- Work effectively in teams, managing and leading teams
- Provide effective, constructive feedback to the delivery leader
- Manage client expectations and work with an agile mindset with machine learning and AI technology
- Design and prototype data-driven solutions
Eligibility
- Highly experienced in designing, building, and shipping scalable and production-quality machine learning algorithms in the field of Python applications
- Working knowledge and experience in NLP core components (NER, Entity Disambiguation, etc.)
- In-depth expertise in Data Munging and Storage (Experienced in SQL, NoSQL, MongoDB, Graph Databases)
- Expertise in writing scalable APIs for machine learning models
- Experience with maintaining code logs, task schedulers, and security
- Working knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks, entropy models, supervised and unsupervised learning
- Experience with at least one of the following: Keras, Tensorflow, Caffe, or PyTorch
Data ScienceMachine Learning (ML)Deep LearningJob Description:
1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
b. Improve Model accuracy to deliver greater business impact
c.Estimate business impact due to deployment of model
2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines
4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5.Experience in using Deep learning models with text, speech, image and video data
a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
c.Knowledge of State of the art Deep learning algorithms
6.Optimize and tune Deep Learnings model for best possible accuracy
7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8.Work with application teams, in deploying models on cloud as a service or on-prem
a.Deployment of models in Test / Control framework for tracking
b.Build CI/CD pipelines for ML model deployment
9.Integrating AI&ML models with other applications using REST APIs and other connector technologies
10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
· Technology/Subject Matter Expertise
- Sufficient expertise in machine learning, mathematical and statistical sciences
- Use of versioning & Collaborative tools like Git / Github
- Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
- Develop prototype level ideas into a solution that can scale to industrial grade strength
- Ability to quantify & estimate the impact of ML models.
· Softskills Profile
- Curiosity to think in fresh and unique ways with the intent of breaking new ground.
- Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
- Ability to think ahead, and anticipate the needs for solving the problem will be important
· Ability to communicate key messages effectively, and articulate strong opinions in large forums
· Desirable Experience:
- Keen contributor to open source communities, and communities like Kaggle
- Ability to process Huge amount of Data using Pyspark/Hadoop
- Development & Application of Reinforcement Learning
- Knowledge of Optimization/Genetic Algorithms
- Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
- Optimize and tune deep learning model for best possible accuracy
- Understanding of stream data processing, RPA, edge computing, AR/VR etc
- Appreciation of digital ethics, data privacy will be important
- Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
- Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
Data ScienceMachine Learning (ML)Position: Manager/Head- Data Scientist/Machine Learning Engineer
- Algorithm Development: Develop cutting-edge algorithms and predictive models to enhance customer experience, optimize inventory management, and drive sales growth
- AI/ML Model Building: Utilize expertise in data science and machine learning to create scalable AI models specifically tailored for both online platforms and brick-and-mortar stores, aiming to improve operational efficiency and customer engagement.
- Ecommerce Optimization: Collaborate with cross-functional teams to implement data-driven solutions for personalized recommendations, demand forecasting, and dynamic pricing strategies to drive online sales and enhance customer satisfaction.
- Deep Learning & Image Recognition: Leverage advanced techniques in deep learning and image recognition to develop innovative solutions for product categorization, visual search, and inventory tracking, optimizing product discovery and inventory management.
- Python Development: Proficiency in Python programming is essential for designing, implementing, and maintaining robust and scalable machine learning pipelines and models, ensuring efficient deployment and integration into existing systems.
Qualifications and Experience:
- Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related fields.
- 3 to 4 years of hands-on experience in data science, machine learning, and deep learning, preferably within the ecommerce or retail sector.
- Proven track record of successful implementation of AI/ML models with tangible business impact.
- Strong proficiency in Python, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience working with image data, including feature extraction, object detection, and classification.
- Excellent problem-solving skills, ability to work independently, and communicate complex technical concepts effectively to diverse stakeholders.
Machine Learning (ML)Data SciencePythonAbout UpSolve
Work on cutting-edge tech stack. Build innovative solutions. Computer Vision, NLP, Video Analytics and IOT.
Job Role
- Ideate use cases to include recent tech releases.
- Discuss business plans and assist teams in aligning with dynamic KPIs.
- Design solution architecture from input to infrastructure and services used to data store.
Job Requirements
- Working knowledge about Azure Cognitive Services.
- Project Experience in building AI solutions like Chatbots, sentiment analysis, Image Classification, etc.
- Quick Learner and Problem Solver.
Job Qualifications
- Work Experience: 2 years +
- Education: Computer Science/IT Engineer
- Location: Mumbai
Machine Learning (ML)Deep Learning• Charting learning journeys with knowledge graphs.
• Predicting memory decay based upon an advanced cognitive model.
• Ensure content quality via study behavior anomaly detection.
• Recommend tags using NLP for complex knowledge.
• Auto-associate concept maps from loosely structured data.
• Predict knowledge mastery.
• Search query personalization.
Requirements:
• 6+ years experience in AI/ML with end-to-end implementation.
• Excellent communication and interpersonal skills.
• Expertise in SageMaker, TensorFlow, MXNet, or equivalent.
• Expertise with databases (e. g. NoSQL, Graph).
• Expertise with backend engineering (e. g. AWS Lambda, Node.js ).
• Passionate about solving problems in education
Job brief
We are looking for a Lead Data Scientist to lead a technical team and help us gain
useful insight out of raw data.
Lead Data Scientist responsibilities include managing the data science team, planning
projects and building analytics models. You should have a strong problem-solving ability
and a knack for statistical analysis. If you’re also able to align our data products with our
business goals, we’d like to meet you.
Your ultimate goal will be to help improve our products and business decisions by
making the most out of our data.
Responsibilities
● Conceive, plan and prioritize data projects
● Ensure data quality and integrity
● Interpret and analyze data problems
● Build analytic systems and predictive models
● Align data projects with organizational goals
● Lead data mining and collection procedures
● Test performance of data-driven products
● Visualize data and create reports
● Build and manage a team of data scientists and data engineers
Requirements
● Proven experience as a Data Scientist or similar role
● Solid understanding of machine learning
● Knowledge of data management and visualization techniques
● A knack for statistical analysis and predictive modeling
● Good knowledge of R, Python and MATLAB
● Experience with SQL and NoSQL databases
● Strong organizational and leadership skills
● Excellent communication skills
● A business mindset
● Degree in Computer Science, Data Science, Mathematics or similar field
● Familiar with emerging/cutting edge, open source, data science/machine learning
libraries/big data platforms
Machine Learning (ML)About the Company:
ConveGenius is a leading Conversational AI company that is democratising educational and knowledge services for the mass market. Their knowledge bots have 35M users today. ConveGenius is building an omniverse on Conversational AI for the developer ecosystem to build together. We are looking for self-driven individuals who love to find innovative solutions and can perform under pressure. An eye for detail and being proud of produced code is the must-have attributes for this job.
About the role:
At ConveGenius, we are committed to creating an inclusive and collaborative work environment that fosters creativity and innovation. Join our AI Team as Senior AI Engineer with the focus on development of cutting-edge technologies, making a real life difference in the lives of millions of users. You will be involved in a wide range of projects, from designing and building AI capabilities for our swiftchat platform, and analysing large conversation datasets. Innovative nature and proactive involvement in the product is taken very seriously at Convegenius, therefore, a major part of your role would involve thinking about new features and new ways to deliver quality learning experience to our learners.
Responsibilities:
- Develop and implement state-of-the-art NLP, Computer Vision, Speech techniques.
- Collaborate with other AI researchers to develop innovative AI solutions and services to be used to improve our platform capabilities.
- Mentor and lead the experiments with other team members.
- Conduct research and experiments in deep learning, machine learning, and related fields to support the development of AI techniques.
Qualifications:
- Bachelor's or master's degree in Computer Science, Engineering, or a related field with experience in machine learning and data analysis.
- 2-4 years of industry experience in machine learning, with a strong focus on NLP and Computer Vision.
- Hands-on experience of ML model development and deploying.
- Experience working with training and fine-tuning LLM is a plus.
- Experience in audio/speech technologies is a plus.
- Strong programming skills in Python, node.js or other relevant programming languages.
- Familiarity with machine learning libraries, such as TensorFlow, Keras, PyTorch, scikit-learn, Conversational frameworks like Rasa, DialogFlow, Lex, etc.
- Strong analytical and problem-solving skills, with the ability to think out of the box.
- Self-starter with the ability to work independently and in a team environment.
Machine Learning (ML)Data ScienceJob Description-
Responsibilities:
* Work on real-world computer vision problems
* Write robust industry-grade algorithms
* Leverage OpenCV, Python and deep learning frameworks to train models.
* Use Deep Learning technologies such as Keras, Tensorflow, PyTorch etc.
* Develop integrations with various in-house or external microservices.
* Must have experience in deployment practices (Kubernetes, Docker, containerization, etc.) and model compression practices
* Research latest technologies and develop proof of concepts (POCs).
* Build and train state-of-the-art deep learning models to solve Computer Vision related problems, including, but not limited to:
* Segmentation
* Object Detection
* Classification
* Objects Tracking
* Visual Style Transfer
* Generative Adversarial Networks
* Work alongside other researchers and engineers to develop and deploy solutions for challenging real-world problems in the area of Computer Vision
* Develop and plan Computer Vision research projects, in the terms of scope of work including formal definition of research objectives and outcomes
* Provide specialized technical / scientific research to support the organization on different projects for existing and new technologies
Skills:
* Object Detection
* Computer Science
* Image Processing
* Computer Vision
* Deep Learning
* Artificial Intelligence (AI)
* Pattern Recognition
* Machine Learning
* Data Science
* Generative Adversarial Networks (GANs)
* Flask
* SQL
PythonData ScienceMachine Learning (ML)Experience: 1- 5 Years
Job Location: WFH
No. of Position: Multiple
Qualifications: Ph.D. Must have
Work Timings: 1:30 PM IST to 10:30 PM IST
Functional Area: Data Science
NextGen Invent is currently searching for Data Scientist. This role will directly report to the VP, Data Science in Data Science Practice. The person will work on data science use-cases for the enterprise and must have deep expertise in supervised and unsupervised machine learning, modeling and algorithms with a strong focus on delivering use-cases and solutions at speed and scale to solve business problems.
Job Responsibilities:
- Leverage AI/ML modeling and algorithms to deliver on use cases
- Build modeling solutions at speed and scale to solve business problems
- Develop data science solutions that can be tested and deployed in Agile delivery model
- Implement and scale-up high-availability models and algorithms for various business and corporate functions
- Investigate and create experimental prototypes that work on specific domains and verticals
- Analyze large, complex data sets to reveal underlying patterns, and trends
- Support and enhance existing models to ensure better performance
- Set up and conduct large-scale experiments to test hypotheses and delivery of models
Skills, Knowledge, Experience:
- Must have Ph.D. in an analytical or technical field (e.g. applied mathematics, computer science)
- Strong knowledge of statistical and machine learning methods
- Hands on experience on building models at speed and scale
- Ability to work in a collaborative, transparent style with cross-functional stakeholders across the organization to lead and deliver results
- Strong skills in oral and written communication
- Ability to lead a high-functioning team and develop and train people
- Must have programming experience in SQL, Python and R
- Experience conceiving, implementing and continually improving machine learning projects
- Strong familiarity with higher level trends in artificial intelligence and open-source platforms
- Experience working with AWS, Azure, or similar cloud platform
- Familiarity with visualization techniques and software
- Healthcare experience is a plus
- Experience in Kafka, Chatbot and blockchain is a plus.
We are seeking a highly skilled and innovative 3+ years of experienced Generative AI Engineer to join our dynamic team. As a Generative AI Engineer, you will play a key role in developing cutting-edge algorithms and models to create generative solutions that push the boundaries of artificial intelligence.
Key Responsibilities
- Design, develop, and implement cutting-edge computer vision algorithms, encompassing areas such as image processing, object detection, and segmentation.
- Leverage Generative Adversarial Network (GAN) models to synthesize novel data and enhance the quality of existing datasets.
- Engage in collaborative efforts with cross-functional teams to seamlessly integrate AI-driven solutions into our product portfolio.
- Spearhead initiatives to refine and optimize model architectures, ensuring top-tier performance and efficiency.
- Stay at the forefront of AI and computer vision advancements, ensuring our solutions are consistently state-of-the-art.
- Provide mentorship to budding data scientists, promoting a cohesive, inclusive, and knowledge-sharing team culture.
Qualifications:
- A minimum of 3 years of specialized experience in computer vision, with a focus on deep learning. Proficiency in neural architectures such as CNNs, RNNs, Encoder-Decoders, and generative models including GANs and GPT is essential.
- Demonstrated expertise in crafting, fine-tuning, and deploying AI models for real-world applications.
- Mastery in programming languages, notably Python, and familiarity with deep learning frameworks such as TensorFlow and PyTorch. Experience with image processing libraries like OpenCV and Pillow is a plus.
- Exceptional analytical and problem-solving prowess, complemented by meticulous attention to detail.
- Stellar communication and presentation abilities, with a knack for distilling intricate technical data into clear, actionable business insights.
Preferred Skills:
- Hands-on experience with cloud platforms, especially AWS, and adeptness with container orchestration tools like Docker and Kubernetes.
- Proficiency in version control utilities, particularly Git and GitHub.
- Prior contributions to the AI research community, such as publications or significant community involvement, will be highly regarded.
- Acquaintance with agile development practices.
- A compelling portfolio showcasing a range of projects in computer vision and image segmentation is desirable
Data ScienceMachine Learning (ML)- Minimum 2.5 years of experience as a Python Developer.
- Minimum 2.5 years of experience in any framework like Django/Flask/Fast API
- Minimum 2.5 years of experience in SQL/ Postgress
- Minimum 2.5 years of experience in Git/Gitlab/Bit-Bucket
- Minimum 2+ years of experience in deployment (CICD with Jenkins)
- Minimum 2.5 years of experience in any cloud like AWS/GCP/Azure
Data ScienceMachine Learning (ML)Responsibilities:
- Identify relevant data sources - a combination of data sources to make it useful.
- Build the automation of the collection processes.
- Pre-processing of structured and unstructured data.
- Handle large amounts of information to create the input to analytical Models.
- Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
- Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
- Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
- Participate in Problem solving sessions
Requirements:
- Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
- Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
- Strong math skills (e.g. statistics , algebra)
- Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
- Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
- Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com
Required Skills:
Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia
Data ScienceMachine Learning (ML)Prismforce (www.prismforce.com) is a US Head quartered vertical SAAS product company , with development teams in India. We are Series-A funded venture , backed by Tier 1 VC and targeted towards tech/IT services industry and tech talent organizations in enterprises, solving their most critical sector specific problems in Talent Supply Chain. The product suite is powered by artificial intelligence designed to accelerate business impact e.g. improved profitability and agility , by digitizing core vertical workflows underserved by custom applications and typical ERP offerings.
We are looking for Data Scientists to build data products to be the core of SAAS company disrupting the Skill market.In this role you should be highly analytical with a keen understanding of Data, Machine Learning, Deep Learning, Analysis, Algorithms, Products, Maths, and Statistics. The hands-on individual would be playing multiple roles of being a Data Scientist , Data Engineer , Data Analysts , Efficient Coder and above all Problem Solver.
Location: Mumbai / Bangalore / Pune / Kolkata
Responsibilities:
- Identify relevant data sources - a combination of data sources to make it useful.
- Build the automation of the collection processes.
- Pre-processing of structured and unstructured data.
- Handle large amounts of information to create the input to analytical Models.
- Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
- Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
- Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
- Participate in Problem solving sessions
Requirements:
- Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
- Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
- Strong math skills (e.g. statistics , algebra)
- Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
- Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
- Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com
Machine Learning (ML)Deep LearningLifespark is looking for individuals with a passion for impacting real lives through technology. Lifespark is one of the most promising startups in the Assistive Tech space in India, and has been honoured with several National and International awards. Our mission is to create seamless, persistent and affordable healthcare solutions. If you are someone who is driven to make a real impact in this world, we are your people.
Lifespark is currently building solutions for Parkinson’s Disease, and we are looking for a ML lead to join our growing team. You will be working directly with the founders on high impact problems in the Neurology domain. You will be solving some of the most fundamental and exciting challenges in the industry and will have the ability to see your insights turned into real products every day
Essential experience and requirements:
1. Advanced knowledge in the domains of computer vision, deep learning
2. Solid understand of Statistical / Computational concepts like Hypothesis Testing, Statistical Inference, Design of Experiments and production level ML system design
3. Experienced with proper project workflow
4. Good at collating multiple datasets (potentially from different sources)
5. Good understanding of setting up production level data pipelines
6. Ability to independently develop and deploy ML systems to various platforms (local and cloud)
7. Fundamentally strong with time-series data analysis, cleaning, featurization and visualisation
8. Fundamental understanding of model and system explainability
9. Proactive at constantly unlearning and relearning
10. Documentation ninja - can understand others documentation as well as create good documentation
Responsibilities :
1. Develop and deploy ML based systems built upon healthcare data in the Neurological domain
2. Maintain deployed systems and upgrade them through online learning
3. Develop and deploy advanced online data pipelines
Machine Learning (ML)Data ScienceTensorIoT:
- AWS Advanced Consulting Partner (for ML and GenAI solutions)
- Pioneers in IoT and Generative AI products.
- Committed to diversity and inclusion in our teams.
TensorIoT is an AWS Advanced Consulting Partner. We assist companies to realize the value and efficiency of the AWS ecosystem. From building Proof of Concepts and Product Prototypes to production-ready applications, we analyze complex business problems every day and develop solutions to drive customers’ success.
The founders of TensorIoT, have previously helped build world-class IoT and AI platforms in AWS and Google. Our mission now is to help connect devices and make them intelligent. We firmly believe in the transformative power of smart devices to enhance our quality of life.
TensorIoT is proud to be an equal opportunity employer. We are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind, and make our hiring decisions based solely on qualifications, merit, and business needs at the time.
Job Description
At the TensorIoT India team, we look forward to bringing on board mid-level and senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process. Please note: A candidate needs to qualify at least 4 of the 7 preferred qualifications listed below, to be eligible for the task / first round of interviews.
What are the kinds of tasks Data Scientists do at TensorIoT?
As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client.
Preferred Requirements:
- PhD in the domain of Data Science / Machine Learning
- M.Sc | M.Tech in the domain of Computer Science / Machine Learning
- Hands-on experience in MLOps (model deployment, maintenance).
- Some experience working with Generative AI (LLM).
- Some experience in creating cloud-native technologies, and microservices design.
- Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
- Hands-on experience with Docker.
Minimum Requirements:
- Masters + 3 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 5 years of work experience in Machine Learning Engineering 1 year of Cloud Experience.
- Clear concepts of the following:
- - Supervised Learning, Unsupervised Learning, Reinforcement Learning
- - Statistical Modelling, Deep Learning
- - Interpretable Machine Learning
- - Linear Algebra
- Scientific & Analytical mindset, proactive learning, adaptability to changes.
- Strong interpersonal and language skills in English, to communicate within the team and with the clients.
CV Tips:
Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following:
- Focus:
- More focus on technical skills relevant to the job description.
- Less or no focus on your roles and responsibilities as a manager, team lead, etc.
- Less or no focus on the design aspect of the document.
- Regarding the projects you completed in your previous companies,
- Mention the problem statement very briefly.
- Your role and responsibilities in that project.
- Technologies & tools used in the project.
- Always good to mention (if relevant):
- Scientific papers published, Master Thesis, Bachelor Thesis.
- Github link, relevant blog articles.
- Link to LinkedIn profile.
- Mention skills that are relevant to the job description and you could demonstrate during the interview/tasks in the selection process.
We appreciate your interest in the company and look forward to your application.
Machine Learning (ML)Data ScienceRequirement understanding and elicitation, analysis, data/workflows, contribution to product
projects and Proof of concept (POC)
Contribute to preparing design documents and effort estimations.
Develop AI/ML Models using best-in-class ML models.
Building, testing, and deploying AI/ML solutions.
Work with Business Analysts and Product Managers to assist with defining functional user
stories.
Ensure deliverables across teams are of high quality and documented.
Recommend best ML practices/Industry standards for any ML use case.
Proactively take up R and D and recommend solution options for any ML use case.
Data ScienceMachine Learning (ML)About UpSolve
We built and deliver complex AI solutions which help drive business decisions faster and more accurately. We are a typical AI company and have a range of solutions developed on Video, Image and Text.
What you will do
- Stay informed on new technologies and implement cautiously
- Maintain necessary documentation for the project
- Fix the issues reported by application users
- Plan, build, and design solutions with a mental note of future requirements
- Coordinate with the development team to manage fixes, code changes, and merging
Location: Mumbai
Working Mode: Remote
What are we looking for
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- Minimum 2 years of professional experience in software development, with a focus on machine learning and full stack development.
- Strong proficiency in Python programming language and its machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
- Experience in developing and deploying machine learning models in production environments.
- Proficiency in web development technologies including HTML, CSS, JavaScript, and front-end frameworks such as React, Angular, or Vue.js.
- Experience in designing and developing RESTful APIs and backend services using frameworks like Flask or Django.
- Knowledge of databases and SQL for data storage and retrieval.
- Familiarity with version control systems such as Git.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work effectively in a fast-paced and dynamic team environment.
- Good to have Cloud Exposure
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