Overview We are hiring a Machine Learning Engineer with strong experience in Computer Vision , Natural Language Processing (NLP) , and Backend Development . You’ll be responsible for training and deploying deep learning models, implementing research papers, and building production-ready APIs using Flask, FastAPI, or Django. Key Responsibilities Develop ML/DL models for: Computer Vision : classification, object detection, segmentation. NLP : text classification, NER, summarization. Implement research papers and build production-ready prototypes. Use libraries such as PyTorch , OpenCV , Pillow , TorchVision , and Transformers . Optimize models with techniques like quantization , pruning , ONNX export , and TorchScript . Build and deploy RESTful APIs using FastAPI , Flask , or Django . Containerize applications using Docker and deploy them to cloud or local servers. Write clean, efficient, and scalable code for backend and ML pipelines. Required Skills Solid understanding of Machine Learning and Deep Learning . Experience with: PyTorch , OpenCV , Pillow Computer Vision (detection, segmentation, classification) NLP libraries like Hugging Face Transformers , spaCy , NLTK Strong backend skills using FastAPI , Flask , or Django . Familiar with Docker , Git , and Linux environments. Experience with model deployment and optimization tools (ONNX, TorchScript). Nice to Have Knowledge of Generative AI / LLMs Experience with ONNX , TensorRT , or TorchScript MLOps tools: MLflow , DVC , Airflow Experience with Cloud platforms (AWS, GCP, Azure) Qualifications Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or a related field. Job Type: Full-time Pay: ₹272,876.24 - ₹1,548,746.18 per year Schedule: Evening shift Monday to Friday Work Location: In person
JD for Node JS Technical Skill Set: 1. Good knowledge of Node.js with 1+ years of minimum experience 2. Understanding the nature of asynchronous programming and its quirks and workarounds. 3. Good Knowledge of Node.js Frameworks. 4. Proficiency in RESTful APIs and API Communications. 5. Working Knowledge on User Authentication and Authorization. 6. Integration of multiple data sources and databases into one system. 7. Proficient understanding of code versioning tools, such as GitHub, Bitbucket. 8. Can Write Efficient Codes. 9. Error Handling Skills. Job Responsibilities: 1. Collaborate with cross-functional teams to define, design, and ship new features. 2. Ability to understand business requirements and translate them into technical requirements. 3. Building big, robust, scalable, and maintainable Node JS application. 4. Debugging, Fixing bugs, Identifying Performance Issues, and Improving App Performance 5. Developing, Deploying, and maintaining Multistage, Multi-tier applications. Job Types: Full-time, Permanent Pay: ₹336,000.00 - ₹450,000.00 per year Benefits: Food provided Schedule: Day shift Morning shift Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) software development: 1 year (Preferred) HTML5: 1 year (Preferred) Work Location: In person
As a Machine Learning Engineer at our company, you will be utilizing your expertise in Computer Vision, Natural Language Processing (NLP), and Backend Development. Your primary responsibilities will include developing ML/DL models for Computer Vision tasks such as classification, object detection, and segmentation, as well as for NLP tasks like text classification, Named Entity Recognition (NER), and summarization. You will also be implementing research papers and creating production-ready prototypes. To excel in this role, you must have a solid understanding of Machine Learning and Deep Learning concepts. Proficiency in tools and libraries like PyTorch, OpenCV, Pillow, TorchVision, and Transformers is essential. You will be optimizing models using techniques such as quantization, pruning, ONNX export, and TorchScript. Moreover, you will be tasked with building and deploying RESTful APIs using FastAPI, Flask, or Django, and containerizing applications using Docker for deployment on cloud or local servers. Your role will also involve writing clean, efficient, and scalable code for backend and ML pipelines. Strong backend skills using FastAPI, Flask, or Django are required, along with experience in utilizing NLP libraries like Hugging Face Transformers, spaCy, and NLTK. Familiarity with Docker, Git, and Linux environments is crucial for this position, as well as experience with model deployment and optimization tools such as ONNX and TorchScript. While not mandatory, it would be advantageous to have knowledge of Generative AI / Large Language Models (LLMs) and experience with MLOps tools like MLflow, DVC, and Airflow. Additionally, familiarity with cloud platforms such as AWS, GCP, or Azure would be a plus. The ideal candidate should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. This is a full-time position with an evening shift schedule from Monday to Friday. The work location is in person.,
The job involves promoting BluH and MarketConnect while cultivating strong relationships within the shrimp farming industry. Your main responsibility will be to drive the adoption of our AI-Powered seed counter. To excel in this role, you should have a background in aquaculture, with a focus on shrimp hatchery operations. Additionally, a solid understanding of shrimp hatchery practices is essential. Being digital-savvy and comfortable with computers and mobile apps is crucial for success in this position. This is a full-time role with an evening shift from Monday to Friday. The work location is in person. If you meet the qualifications and are passionate about making an impact in the aquaculture industry, we would love to hear from you.,
Experience: Minimum 3 years of technical experience in Oracle Fusion Financials. Contract Duration: 6 months Work Model: Hybrid (Work-from-Office and Work-from-Home) Work Timings: Work-from-Office: 1:00 PM to 6:00 PM IST (Monday to Friday) Work-from-Home: Remaining 3 hours of an 8-hour workday (flexible) Location: Hyderabad Project Summary We're looking for a highly skilled and motivated freelance Oracle Fusion Financials Techno-Functional Consultant to join our team for a 6-month project. The ideal candidate will have at least 3 years of hands-on experience in a techno-functional role, with a strong focus on technical development. This role requires a professional who can expertly navigate the technical aspects of Oracle Cloud applications while providing functional support. You'll play a crucial role in enhancing our Oracle Fusion Financials modules, with a specific focus on developing reports and integrations. Key Responsibilities Financials Module Support: Provide expert configuration, maintenance, and support for core Oracle Fusion Financials modules like General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), and Cash Management (CM). Technical Development (Reports & Integrations): Reports: Design, develop, and modify complex reports using BI Publisher (BIP) and Oracle Transactional Business Intelligence (OTBI) . Integrations: Develop and implement data conversions and integrations using tools like File-Based Data Import (FBDI) and ADF Desktop Integration (ADFDI) . Business Analysis: Analyze and translate business requirements from finance stakeholders into technical solutions for reports, integrations, and new functionalities. Documentation: Create and maintain comprehensive technical design documents, data maps, and user guides. Troubleshooting: Independently troubleshoot and resolve complex technical issues related to reports, integrations, and data integrity. Collaboration: Work closely with the project team and business users to ensure the timely and successful delivery of technical solutions. Required Skills and Qualifications Bachelor's degree in Computer Science, Information Systems, Finance, or a related field. Minimum of 3 years of hands-on technical experience with Oracle Fusion Financials Cloud applications. Strong understanding of core financial processes, such as Procure-to-Pay (P2P) or Order-to-Cash (O2C). Mandatory: Proficient in developing reports using BI Publisher (BIP) and Oracle Transactional Business Intelligence (OTBI) . Mandatory: Experience with data integration tools like FBDI and knowledge of REST/SOAP APIs . Proven problem-solving and analytical skills. Excellent communication and interpersonal skills. Ability to work independently as a freelancer while meeting project deadlines. Preferred Qualifications Experience with other Oracle Fusion Financials modules, such as Fixed Assets (FA) or Cash Management (CM). Any relevant Oracle Cloud certification (e.g., Oracle Fusion Financials Cloud: Financials Implementation Specialist). Job Type: Freelance Contract length: 6 months Pay: ₹265,866.93 - ₹439,892.14 per year Work Location: In person
As a Machine Learning Engineer at the company, you will be utilizing your expertise in Computer Vision, Natural Language Processing (NLP), and Backend Development. Your primary responsibilities will include: - Developing ML/DL models for Computer Vision tasks such as classification, object detection, and segmentation - Developing ML/DL models for NLP tasks like text classification, Named Entity Recognition (NER), and summarization - Implementing research papers and creating production-ready prototypes To excel in this role, you must have a solid understanding of Machine Learning and Deep Learning concepts. Proficiency in tools and libraries like PyTorch, OpenCV, Pillow, TorchVision, and Transformers is essential. You will be optimizing models using techniques such as quantization, pruning, ONNX export, and TorchScript. Moreover, you will be tasked with: - Building and deploying RESTful APIs using FastAPI, Flask, or Django - Containerizing applications using Docker for deployment on cloud or local servers - Writing clean, efficient, and scalable code for backend and ML pipelines Strong backend skills using FastAPI, Flask, or Django are required, along with experience in utilizing NLP libraries like Hugging Face Transformers, spaCy, and NLTK. Familiarity with Docker, Git, and Linux environments is crucial for this position, as well as experience with model deployment and optimization tools such as ONNX and TorchScript. It would be advantageous to have knowledge of Generative AI / Large Language Models (LLMs) and experience with MLOps tools like MLflow, DVC, and Airflow. Additionally, familiarity with cloud platforms such as AWS, GCP, or Azure would be a plus. The ideal candidate should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. This is a full-time position with an evening shift schedule from Monday to Friday. The work location is in person.,
As an entry-level AI Engineer Intern specializing in Computer Vision and Natural Language Processing (NLP), your role will involve developing and implementing deep learning models using frameworks like TensorFlow and PyTorch. You will focus on tasks such as image classification, object detection, text analysis, and large language models (LLMs). Additionally, you will have the opportunity to contribute to research initiatives by implementing concepts from AI research papers. Key Responsibilities: - Develop and train deep learning models for Computer Vision and NLP tasks. - Implement and fine-tune models using TensorFlow and PyTorch. - Preprocess and augment image and text datasets for training. - Analyze model performance and optimize architectures for enhanced efficiency. - Work on AI agent development and integrate LLMs into applications. - Collaborate with team members for deploying models in real-world applications. - Review and contribute to research papers and advancements in AI. Required Skills: - Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. - Basic knowledge of deep learning concepts, including CNNs, Transformers, and RNNs. - Familiarity with TensorFlow and PyTorch for model development. - Proficiency in Python and libraries such as NumPy, OpenCV, Pillow, SpaCy, and Hugging Face Transformers. - Understanding of LLM architectures like GPT, BERT, and their applications. - Willingness to learn and work collaboratively in a dynamic environment. This role provides you with an excellent opportunity to work on cutting-edge projects in both Computer Vision and NLP domains. It allows you to contribute to innovative AI solutions while gaining expertise in deep learning and AI agent frameworks. Please note that this is a full-time, permanent position with day and morning shifts. The work location is in person. Benefit: - Food provided.,
A results-driven and detail-oriented Junior Options Trading Analyst passionate about derivatives, volatility, and market microstructure. Brings a strong foundation in financial modeling, options pricing, and data-driven trading strategies. Skilled in analyzing market trends, tracking implied volatility, and identifying high-probability setups across equities and index options. Comfortable working in fast-paced, high-intensity trading environments with exposure to both directional and non-directional options strategies — including credit spreads, iron condors, covered positions, and volatility crush plays. Combines analytical curiosity with disciplined execution — contributing to pre-trade analytics, trade journaling, and post-trade performance reviews. Eager to grow under mentorship, expand quantitative skills, and develop proprietary trading insights within a collaborative desk environment. Core Competencies Options strategy modeling (credit/debit spreads, straddles, strangles, covered strategies) Volatility and Greek analysis (Delta/Gamma/Vega/Theta interpretation) Pre- and post-earnings trade preparation Real-time trade execution and journaling discipline Market scanning and sector rotation tracking Excel/Python-based trade performance analytics Ideal Candidate Profile (for hiring brief) 0–2 years of trading or market research exposure Finance, Economics, or STEM background preferred Familiar with Thinkorswim, TradingView, or options analytics tools Strong interest in systematic or volatility-based trading Calm under pressure, quick learner, thrives in data-rich environments Job Type: Contractual / Temporary Contract length: 6 months Pay: ₹233,042.38 - ₹692,083.24 per year Work Location: In person
As a Junior Options Trading Analyst, you will be responsible for analyzing market trends, tracking implied volatility, and identifying high-probability setups across equities and index options. You should be comfortable working in fast-paced, high-intensity trading environments and have exposure to both directional and non-directional options strategies like credit spreads, iron condors, covered positions, and volatility crush plays. Your core competencies will include options strategy modeling (credit/debit spreads, straddles, strangles, covered strategies), volatility and Greek analysis (Delta/Gamma/Vega/Theta interpretation), pre- and post-earnings trade preparation, real-time trade execution, journaling discipline, market scanning, and sector rotation tracking. You should also be proficient in Excel/Python-based trade performance analytics. The ideal candidate for this role would have at least 2 years of trading or market research exposure, preferably in Finance, Economics, or STEM fields. Familiarity with tools like Thinkorswim, TradingView, or other options analytics tools is a plus. You should have a strong interest in systematic or volatility-based trading, be calm under pressure, a quick learner, and thrive in data-rich environments. This position is contractual/temporary with a contract length of 6 months. The work location is in person. If you are passionate about derivatives, volatility, and market microstructure, and eager to develop proprietary trading insights within a collaborative desk environment, this role could be a great fit for you.,
As an entry-level AI Engineer Intern specializing in Computer Vision and Natural Language Processing (NLP), your primary role will be to develop and implement deep learning models using cutting-edge frameworks like TensorFlow and PyTorch. You will be involved in tasks such as image classification, object detection, text analysis, and working with large language models (LLMs). Additionally, you will have the opportunity to contribute to research initiatives by implementing concepts from AI research papers. Key Responsibilities: - Develop and train deep learning models for Computer Vision and NLP applications. - Implement and fine-tune models utilizing TensorFlow and PyTorch. - Preprocess and augment image and text datasets to prepare them for training. - Analyze model performance and optimize architectures for enhanced efficiency. - Work on AI agent development and integrate large language models (LLMs) into various applications. - Collaborate with team members to deploy developed models in real-world scenarios. - Review and contribute to advancements in AI research papers. Required Skills: - Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. - Basic understanding of deep learning concepts including CNNs, Transformers, and RNNs. - Familiarity with TensorFlow and PyTorch for developing deep learning models. - Proficiency in Python and relevant libraries such as NumPy, OpenCV, Pillow, SpaCy, and Hugging Face Transformers. - Understanding of large language model (LLM) architectures like GPT, BERT, and their practical applications. - Eagerness to learn and collaborate effectively in a dynamic work environment. This role presents a valuable opportunity to work extensively with both Computer Vision and NLP, actively contributing to innovative AI solutions while gaining expertise in deep learning and AI agent frameworks. Please note that this position is full-time and permanent, with food provided as a benefit. The work schedule is during the day shift and morning shift, and the work location is in person.,