6505 Machine Learning Jobs - Page 2

Role & responsibilities Develop and maintain Python scripts to scrape and analyze dark web data, identifying potential threats and vulnerabilities. Collaborate with our research team to design and implement data extraction and processing pipelines. Conduct in-depth analysis of scraped data to identify patterns, trends, and potential threats. Work closely with our research and vulnerability intelligence teams to develop and implement threat detection and mitigation strategies. Stay up-to-date with the latest developments in dark web technologies, threats, and Generative AI advancements, contributing to the evolution of our vulnerability intelligence platform. Requirements: Bachelors degree in Computer Science, Cybersecurity, or a related field. Proficiency in Python programming language. Basic understanding of models (e.g., GPT, BERT, Llama, Claude), including what they are and how they can be applied to coding and cybersecurity tasks. Familiarity with using AI-driven coding tools (e.g., GitHub Copilot, Cursor, Replit) to enhance development workflows. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Strong passion for cybersecurity and a desire to make a real impact. Nice to Have: Experience fine-tuning Generative AI models for specific tasks (e.g., text generation, data analysis)a plus but not required. Familiarity with web scraping, data analysis, and machine learning techniques. Knowledge of dark web technologies and threats. Other Details: This role is going to be an Internship (1Year) followed by Fulltime (Based on performance) Internship Stipend 15k, Fulltime offer: Upto 8LPA

AI/ML Engineer to join our fast-growing. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and AI-driven applications that deliver business value and customer impact. Key Responsibilities Research and develop machine learning models using supervised, unsupervised, or reinforcement learning techniques. Deploy models into production using MLOps best practices (e.g., containerization, CI/CD, model monitoring). Work on datasets involving structured and unstructured data (e.g., text, image, video, time-series). Collaborate with data engineers, product managers, and other stakeholders to define problem statements and deliver solutions. Continuously improve model performance and scalability using experimentation and model evaluation techniques. Stay updated with the latest trends and breakthroughs in AI/ML (e.g., LLMs, transformers, generative AI). Required Qualifications Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong coding skills in Python (must), with knowledge of libraries like scikit-learn, PyTorch, TensorFlow, Hugging Face, OpenCV , etc. Experience building and tuning ML models from scratch. Solid understanding of ML lifecycle, from data preprocessing to model deployment. Hands-on with SQL , data manipulation tools ( Pandas , NumPy ), and visualization tools ( Matplotlib , Seaborn , Plotly ). Experience with cloud platforms (AWS/GCP/Azure) and tools like Docker, Kubernetes, MLflow is a plus. Preferred Skills Exposure to NLP , LLMs , chatbots , speech processing , or computer vision applications. Experience with GenAI models like GPT, DALL•E, or stable diffusion. Knowledge of prompt engineering, vector databases (like FAISS, Pinecone ), or LangChain is a bonus. Publications or participation in AI/ML competitions (e.g., Kaggle, NeurIPS, CVPR) is a strong plus.

Professor / Associate Professor Computer Science & Engineering at Rama University, Kanpur : Job Title : Associate Professor / Professor Department : Computer Science & Engineering Location : Rama University, Kanpur, Uttar Pradesh Reporting To : Head of Department / Dean, Faculty of Engineering & Technology Employment Type : Full-Time Position Summary : Rama University is seeking highly motivated and academically strong candidates for the position of Associate Professor / Professor in the Department of Computer Science & Engineering. The incumbent will be responsible for teaching, research, curriculum development, academic administration, and mentoring students while promoting a culture of innovation and excellence. Key Responsibilities : Teaching & Academic Responsibilities : Deliver undergraduate and postgraduate courses in Computer Science & Engineering. Develop and update curriculum as per industry trends and AICTE/UGC norms. Guide B.Tech, M.Tech, and Ph.D. students in academic and research projects. Conduct interactive lectures, labs, and tutorials using modern teaching tools. Research & Publications : Conduct original research in core and emerging areas such as AI, ML, Data Science, Cybersecurity, IoT, Blockchain, etc. Publish papers in reputed peer-reviewed journals and present at national/international conferences. Apply for research grants from government and industry funding agencies. Administration & Departmental Activities : Participate in departmental and university-level administrative activities. Mentor junior faculty members and students. Organize FDPs, seminars, conferences, and workshops. Collaborate with industry for academic-industry partnerships, internships, and placements. Qualification & Experience : For Associate Professor : Ph.D. in Computer Science / Computer Engineering or a closely related field. Minimum 8 years of teaching/research/industry experience, of which at least 3 years should be at the level of Assistant Professor or equivalent. At least 10 publications in Scopus/Web of Science indexed journals. For Professor : Ph.D. in Computer Science / Computer Engineering or a related field. Minimum 10 years of teaching/research experience, with at least 4 years as Associate Professor. Proven record of guiding doctoral candidates, published books/book chapters, and funded research projects. Preferred Skills & Expertise : Strong academic foundation and communication skills. Hands-on experience with programming languages (C/C++, Python, Java, etc.) and tools. Exposure to outcome-based education (OBE) and NAAC/NBA accreditation processes. Leadership qualities with ability to drive academic excellence and innovation.

Bachelors in computer science, Information Systems, or a related field Minimum of 10+ years of experience in data architecture with a minimum of 1-3 years of experience in healthcare domain Strong hands-on experience with Cloud databases such as Snowflake, Aurora, Google BigQuery etc. Experience in designing OLAP and OLTP systems for efficient data analysis and processing. Strong handson experience with enterprise BI/Reporting tools like (Looker, AWS QuickSight, PowerBI, Tableau and Cognos). A strong understanding of HIPAA regulations and healthcare data privacy laws is a must-have for this role, as the healthcare domain requires strict adherence to data privacy and security regulations. Experience in data privacy and tokenization tools like Immuta, Privacera, Privitar OpenText and Protegrity. Experience with multiple full life-cycle data warehouse/transformation implementations in the public cloud (AWS, Azure, and GCP) with Deep technical knowledge in one. Proven experience working as an Enterprise Data Architect or a similar role, preferably in large-scale organizations. Proficient in Data modelling (Star Schema (de-normalized data model), Transactional Model (Normalized data model) using tools like Erwin. Experience with ETL/ETL architecture and integration (Matillion, AWS GLUE, Google PLEX, Azure Data Factory etc) Deep understanding of data architectures that utilize Data Fabric, Data Mesh, and Data Products implementation. Business & financial acumen to advise on product planning, conduct research & analysis, and identify the business value of new and emerging technologies. Strong SQL and database skills working with large structured and unstructured data. Experienced in Implementation of data virtualization, and semantic model driven architecture. System development lifecycle (SDLC), Agile Development, DevSecOps, and standard software development tools such as Git and Jira Excellent written and oral communication skills to convey key choices, recommendations, and technology concepts to technical and non-technical audiences. Familiarity with AI/MLOps concepts and Generative AI technology.

Position - Full Stack Developer( LLM & AI/ML/ Python NLP, Claude,Mistral,RAG ) Group Manager - RNA Design, fine-tune, and deploy LLM-based solutions (e.g., ChatGPT, LLaMA, Mistral, Claude).Integrate LLMs into modern web applications to deliver intelligent user experiences Develop end-to-end full-stack applications using modern web frameworks and RESTful APIs. Collaborate with data scientists and product managers to translate business problems into LLM-based applications. Build and optimize prompt engineering workflows for maximum model performance. Ensure performance, scalability, and security of deployed solutions Stay up to date with the latest advancements in generative AI and web development Must Have: LLM & AI/ML Skills: Deep experience with LLMs (OpenAI GPT, Claude, LLaMA, Mistral, etc.) Expertise in prompt engineering, model fine-tuning, and RAG (Retrieval-Augmented Generation) Familiarity with Hugging Face, LangChain, or similar AI frameworks Strong Python programming skills, especially in NLP libraries (e.g., Transformers, SpaCy, PyTorch, TensorFlow) Experience with vector databases (e.g., Pinecone, FAISS, Weaviate)Web Development: Proficiency in modern front-end frameworks (React, Angular, or Vue.js) Strong backend development experience (Node.js, Django, Flask, or FastAPI) Hands-on experience building and integrating RESTful APIs and GraphQL endpoints Strong understanding of web architecture, security, performance optimization.DevOps & Deployment: Experience with Docker, Kubernetes, or cloud services (AWS, Azure, GCP)CI/CD pipelines and code quality tools (e.g., GitHub Actions, Jenkins)General:Strong problem-solving and debugging skills. Excellent written and verbal communication.Ability to work independently in a fast-paced, innovative environment Ability to translate business needs into scalable tech solutions Leadership experience in mentoring or guiding technical teams Qualifications Masters or Bachelors in Computer Science, Artificial Intelligence, or a related field Experience with production-grade LLM applications (chatbots, agents, copilots, etc.) 8+ years of hands-on experience.

5+ years of DS and AI/ML project implementation experience in one of the cloud environments (AWS/Azure/GCP). Advanced / intermediate level certification is a plus Hands-on experience in data handling using SQL and advanced analytics tools such as Python Hands on Experience in analyzing and visualizing data using tools such as Tableau, PowerBI Experience in scoping, development, validation & deployment of explanatory, predictive, and prescriptive analytic solutions Experience in stakeholder management, driving project governance, and linking analytics to business value delivered Knowledge of Deep Learning models and its applications in Natural Language Processing (NLP), AI/GenAI and Computer Vision(CV) in solving business problems Excellent presentation and communication skills Responsibilities: Participate in client workshops to identify high impact problems that could be solved through AI / ML based solutions Translate business problems (sometimes ambiguous) into clear analytic problem statements. Design a plan to develop and deploy advanced analytics solutions in collaboration with SMEs in Data Science & Engineering. Own & drive execution of the plan by demonstrating techno-functional consulting & stakeholder management capabilities. Measure and articulate how analytic results improve clients business & financial metrics. Perform a role that involves a combination of hands-on contribution, customer engagement and team management. Contribute to organization building through training, mentoring, and developing repeatable analytic approaches

Job Title: Executive AI Engineering Location: Andheri (Mumbai) Industry: Pharmaceutical Experience Required: 4+ years in Gen AI/ML, NLP application development About the Role: We are looking for a highly skilled Senior AI Engineer GenAI & Applied ML to independently design, develop, and deploy advanced AI solutions. This is a senior individual contributor role focused on building production-grade Generative AI systems, agentic applications, and intelligent bots using state-of-the-art LLMs, SLMs, and embedding models. You’ll work hands-on across the full AI stack — from fine-tuning models and writing APIs to implementing text-to-SQL and voice-enabled assistants. If you have a strong track record of single-handedly delivering complex AI systems and a deep understanding of modern ML and GenAI trends. Key Responsibilities: Design, build, and deploy production-ready AI solutions leveraging LLMs, SLMs, embedding models, and advanced ML techniques. Develop intelligent chat agents, voice-enabled bots, and autonomous agentic AI systems tailored to various domains and user contexts. Implement context-aware systems using RAG (Retrieval-Augmented Generation), custom embeddings, and vector databases to optimize relevance and response quality. Fine-tune and customize open-source and proprietary LLMs (e.g., GPT, Claude, LLaMA, Mistral, Phi 4) for domain-specific applications and enhanced performance. Build and expose scalable APIs to serve AI models and integrate them into broader application ecosystems. Own the full AI lifecycle — from architecture and experimentation to deployment and performance tuning. Translate business needs into technical blueprints in collaboration with product owners, data teams, and domain experts. Proactively research and prototype with the latest advancements in GenAI, agent frameworks, and multimodal models to drive innovation. Understanding of evaluation frameworks for GenAI systems, including prompt robustness, hallucination mitigation, and human-in-the-loop feedback loops. Requirements: 4 + years of hands-on experience in building and deploying AI/ML/NLP applications, including at least 2 years working with LLMs or GenAI systems in production environments. Proven experience with state-of-the-art LLMs/SLMs , such as GPT-3.5/4, Claude, LLaMA, Mistral, or similar, including prompt engineering, model evaluation, and fine-tuning. Practical expertise in building RAG pipelines , designing embedding workflows , and using vector databases like FAISS, Pinecone, or Weaviate. Strong Python programming skills with experience in Hugging Face Transformers , LangChain , LanGraph, OpenAI/Anthropic SDKs , and other GenAI frameworks. Solid grasp of ML/NLP fundamentals including data preprocessing , model optimization , evaluation metrics , and real-world deployment strategies . Familiarity with deploying AI models through APIs, cloud platforms, or containerized environments (e.g., Docker, FastAPI, Flask). Excellent analytical and debugging skills; ability to independently research, prototype, and solve complex problems end-to-end. Bonus: Exposure to voice AI systems , speech-to-text APIs, or audio-driven interfaces is an advantage. Nice to Have: Familiarity with regulatory and compliance frameworks relevant to AI in life sciences, such as GxP , HIPAA , GDPR , or similar standards. Experience integrating AI models into enterprise platforms , pharma-specific systems , or regulated IT environments . Knowledge of agent frameworks (e.g., AutoGen, CrewAI, LangGraph) and how to operationalize them in real-world use cases. Exposure to speech recognition APIs , voice interface design, or building voice-enabled assistants . Educational Qualifications: Bachelor’s Degree in Engineering (B.E./ B.Tech. ) or Master’s Degree in Computer Applications (MCA/ M.Tech) . Additional Qualifications in Artificial Intelligence, Machine Learning, or Data Science are highly desirable. Benefits We Offer: Access to a state-of-the-art facility equipped with modern and collaborative workspaces. Free gym facility to promote health and well-being of employees. Dynamic and inclusive work environment focused on innovation and continuous learning. Opportunity to work on impactful projects at the intersection of AI and life sciences. Competitive compensation.

Databricks Architect Should have minimum of 10+ years of experience Must have skills DataBricks, Delta Lake, pyspark or scala spark, Unity Catalog Good to have skills - Azure and/or AWS Cloud Handson exposure in o Strong experience with the use of databricks as lakehouse solution o Establish the Databricks Lakehouse architecture o To ingest and transform batch and streaming data on the Databricks Lakehouse Platform. o Orchestrate diverse workloads for the full lifecycle including Delta Live Tables, PySpark etc Mandatory Skills: DataBricks - Data Engineering. Experience8-10 Years.

Title Gen AI Developer Mandatory Skills Python, Deep Learning, LLM, Langchain, RAG and Gen AI. Preferred Skills GCP/Any cloud. Mandatory Skills: AI Cognitive. Experience3-5 Years.

Mandatory Skills: AI Cognitive. Experience5-8 Years.

Role: Solution Lead Do: - Understanding of business processes to determine problem statements in the F&A & HRO Vertical. Closely work with functional and domain experts and translate how technology can solve a business problem - Should be able to think through existing technology solutions and also have enough industry/market know how to bring in technologies from partners and develop alliances - Develop solution artefacts, value propositions with a representation of end to end business processes and mapping them back to technology solutions - Develop relationships with multiple stake holders (Below list is not exhaustive) - Functional team to understand the business needs - Technology teams to convert them into technology solutions - Sales and Pre Sales team acting as the engine enabling sales - He/she works as an individual contributor with excellent communication skills (both written and verbal) and is able to respond to RFI/RFP (RFx) and defend /present solutions with Client while working closely with the onsite Sales teams Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Candidate with Strong Python Coding experience with AI Hands of experience.

We are looking for an expert in machine learning to help us extract value from our Electromyography [EMG] data You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field Qualifications:- Knowledge of ML-AI tools is mandatory, and- Bachelor's Degree in Engineering or equivalent education or job experience Skills, Abilities, Competencies Required: Must have excellent interpersonal and communication skills (verbal and written) Willingness to work flexible hours as needed Be able to follow detailed procedures and ensure accuracy and quality in documentation and data Must have the ability to adapt to changing pace within the company, with frequent interruptions Must demonstrate flexibility and willingness to adapt to diverse roles as a member of the core team Willingness to learn needed skills on the job in order to enhance performance Proficient in using Google Workspace

The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role: 1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP)

Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development Deployment. Skill Sets key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation deployment. 3- Create great data stories with expertise in robust EDA and statistical inference

Lead Data Scientist role. Work Location- Hyderabad/ Remote Exp-7+ Years Relevant Notice Period- Immediate Lead Data Scientist Relevant Experience: 7+ Years Job Overview: We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Deep Learning (DL). Mandatory Skills • 5+ years of work experience in writing code in Python • Experience in using various Python libraries like Pandas, NumPy • Experience in writing good quality code in Python and code refactoring techniques (e.g., IDE’s – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black) • Strong experience on AI assisted coding experience. • AI assisted coding for existing IDE's like vscode. • Experimented multiple AI assisted tools and done research around it. • Deep understanding of data structures, algorithms, and excellent problem-solving skills • Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation • Machine Learning libraries like Scikit-learn, XGBoost • Experience in CV, NLP or Time Series. • Experience in building models for ML tasks (Regression, Classification) • Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings • Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure) • Experience in distributed training of models on Nvidia GPU’s • Familiarity in Dockerizing the model and create model end points (Rest or gRPC) • Strong working knowledge of source code control tools such as Git, Bitbucket • Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous • Strong drive to learn and master new technologies and techniques • Strong communication and collaboration skills • Good attitude and self-motivated Mandatory Skills- *Strong Python coding, Machine Learning, Software Engineering, Deep Learning, Generative AI, LLM, AI Assisted coding tools.*Responsibilities: Develop machine learning models using Python & NLP techniques. Optimize data pipelines for efficiency & accuracy. Collaborate with cross-functional teams on product development.

Role - GenAI Expert Location - Bengaluru/Hyderabad/Noida/Gurgaon/Pune Role & responsibilities Solve real-world problems using cutting-edge LLM/GenAI/GPT technologies. Develop and deploy Python-based applications on Azure/AWS. Lead proof-of-concept to production transitions for AI/Data Science solutions. Collaborate with clients on innovative GenAI use cases. Preferred candidate profile Holds a B.Tech/BE (CS) or Masters (ML/Stats) from a Tier 1-2 institute. Strong hands-on experience with Python, SQL, and web frameworks (Flask/Django). Familiarity with frontend technologies (HTML, JavaScript, React) is a plus. Life Sciences/Pharma background? Even better! Perks and benefits Health Benefits Retirement Benefits Paid Time Off Flexible Benefits Hybrid / Full-Time Office / Remote options Inclusive environment encouraging diverse perspectives and ideas. Challenging and unique opportunities to contribute to a transforming organization. Technical challenges with global impact. Self-development support: Axtria Institute, external certifications, knowledge sharing. Sponsored Tech Talks & Hackathons. Possibilityto relocate to any Axtria office for short/long-term projects . Please note: We are looking for immediate joiners or professionals who can join on short notice. Candidates who have interviewed with us in the last 3 to 6 months are requested to skip this email.

We are seeking a Machine Learning Engineer with a strong background in AI/ML techniques and expertise in computer vision . The ideal candidate will have experience with model fine-tuning , working with pre-trained models, and deploying machine learning solutions at scale. You will be responsible for developing, optimizing, and fine-tuning ML models for various AI-powered applications, including image and video analysis, object detection, and more. Key Responsibilities: Design, build, and fine-tune machine learning models for computer vision applications, such as object detection, segmentation, image classification, and scene understanding. Leverage pre-trained models (e.g., CNNs, transformers, YOLO , etc.) and perform fine-tuning to adapt them to specific use cases. Optimize model performance by implementing cutting-edge techniques in transfer learning, regularization, and hyperparameter tuning. Work closely with data scientists, engineers, and product teams to deliver AI solutions that meet business requirements. Develop scalable solutions and deployment pipelines to operationalize machine learning models. Maintain a strong focus on the efficiency of models, ensuring high speed and low latency in production environments. Stay up-to-date with the latest trends and technologies in AI, machine learning, and computer vision, applying this knowledge to improve existing solutions. Conduct rigorous evaluation of models using relevant metrics and implement strategies for performance improvement. Troubleshoot and resolve model-related issues in production environments. Required Qualifications: Bachelor's/Master's/PhD in Computer Science 3+ years of experience in machine learning or deep learning, with a focus on computer vision . Expertise in model fine-tuning , transfer learning, and working with pre-trained models (e.g., ResNet, VGG, EfficientNet, etc.). Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, or similar. In-depth understanding of deep learning architectures (e.g., CNNs, RNNs, transformers). Familiarity with vision-specific tasks such as image classification , object detection , semantic segmentation , and image generation . Hands-on experience with training large models and optimizing them for performance and resource constraints. Knowledge of data preprocessing, augmentation, and labeling techniques for vision tasks. Proficiency in programming languages such as Python, C++, or similar. Strong understanding of model evaluation techniques and metrics for computer vision tasks (e.g., mAP, IoU, AUC ). Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker is a plus.

As an AI Engineering Intern , you will work closely with our AI research and development team to build, test, and deploy machine learning models and AI solutions. You will gain hands-on experience with various AI techniques and technologies, helping to develop and improve AI-powered systems. Responsibilities: Assist in the development and optimization of machine learning models and algorithms. Support data preprocessing, cleaning, and analysis for AI-related projects. Collaborate with the AI team to implement and integrate AI solutions into production systems. Contribute to the design and development of AI systems, including NLP, computer vision, or other domains based on project needs. Help in writing clean, scalable, and well-documented code for AI applications. Participate in the testing and validation of AI models, and identify areas for improvement. Stay up-to-date with the latest advancements in AI and machine learning technologies. Qualifications: Currently pursuing a degree in Computer Science, Engineering, Mathematics, or a related field (preferably at the undergraduate or graduate level). Solid understanding of machine learning concepts and algorithms (e.g., supervised learning, unsupervised learning, deep learning, etc.). Familiarity with programming languages such as Python, R, or similar. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus. Strong problem-solving skills and analytical thinking. Ability to work independently as well as part of a collaborative team. Good communication skills, with the ability to present ideas and technical concepts clearly. Preferred Qualifications: Experience with cloud platforms such as AWS, GCP, or Azure. Familiarity with data wrangling and data visualization tools (e.g., Pandas, Matplotlib, Seaborn). Knowledge of advanced AI topics such as reinforcement learning, generative models, or NLP. Exposure to version control systems (e.g., Git). Benefits: Mentorship from experienced AI engineers. Hands-on experience with state-of-the-art AI technologies. Opportunity to contribute to real-world AI projects.

We are looking for experienced ML Ops Engineer with 3+ years of experience, specializing in Machine Learning. In this role, you will be responsible for developing ML infrastructure around LLMs/ML Models. The ideal candidate will possess a deep understanding of the ML lifecycle and infrastructure. Key Responsibilities: Collaboration: Work closely with data scientists and ML engineers throughout the ML lifecycle, supporting model development, deployment, and monitoring. ML Ops Pipeline Development: Design, implement, and optimize ML Ops pipelines using tools and frameworks such as TensorFlow Serving, Kubeflow, MLflow, or similar technologies. Data Pipeline Engineering: Build and maintain data pipelines and infrastructure necessary for enterprise-scale machine learning applications, focusing on tasks like data ingestion, preprocessing, transformation, feature engineering, and model training. Cloud Implementation: Develop cloud-based ML Ops solutions on cloud platforms like AWS, Azure, GCP. Containerization Skills: Familiarity with containerization technologies like Docker and Kubernetes. Model Deployment and Monitoring: Deploy and monitor various machine learning models in production, including text/NLP and generative AI models. CI/CD Automation: Build and maintain CI/CD pipelines using tools such as GitLab CI, GitHub Actions, or Airflow to streamline the ML lifecycle. Model Review and Quality Assurance: Participate in data science model reviews, focusing on code optimization, containerization, deployment, versioning, and quality monitoring. Support Data Model Development: Contribute to data model development with an emphasis on auditability, versioning, and data security, implementing practices like lineage tracking and model explainability. Mentorship: Provide guidance and support to junior engineers, fostering a collaborative and innovative team environment. Experience: Minimum of 3+ years of relevant work experience in ML Ops. Domain Knowledge: Strong expertise in Generative AI, advanced NLP, and machine learning techniques. Production Experience: Proven experience in deploying and maintaining production-grade AI solutions. Communication Skills: Excellent communication and teamwork skills, with the ability to work independently when needed. Problem-Solving: Strong analytical and problem-solving capabilities. Continuous Learning: Stay informed about the latest advancements in ML Ops technologies and actively explore new tools and techniques to improve system performance and reliability.

BKMSOLVENTS is looking for Social Media Analytics Professional to join our dynamic team and embark on a rewarding career journey Data Collection: Gathering data from various social media platforms, including metrics like likes, shares, comments, and followers, as well as qualitative data related to user sentiment and feedback. Data Analysis: Using data analysis tools and techniques to identify trends, patterns, and insights from social media data. This may involve data visualization, sentiment analysis, and statistical analysis. Performance Metrics: Monitoring and reporting on key performance indicators (KPIs) such as engagement rates, click-through rates, conversion rates, and follower growth. Competitive Analysis: Analyzing the social media activities of competitors to identify opportunities, gaps, and best practices. Audience Insights: Understanding the demographics, preferences, and behaviors of the target audience to create more effective content and campaigns. Campaign Assessment: Evaluating the effectiveness of social media marketing campaigns and providing recommendations for improvement. Content Strategy: Collaborating with social media and content teams to develop data-driven content strategies that resonate with the audience.

THE YOUNG WINGS is looking for Visa Specialist to join our dynamic team and embark on a rewarding career journey Visa Application Processing:Receive and review visa applications, ensuring all required documents are submitted Verify the accuracy and completeness of application forms and supporting materials Interviews and Verification:Conduct interviews with visa applicants to assess the purpose of travel and validate information Verify the authenticity of supporting documents provided by applicants Adherence to Immigration Policies:Interpret and apply immigration laws, policies, and regulations in the visa application process Stay updated on changes to immigration policies and communicate updates to relevant stakeholders Communication with Applicants:Communicate with visa applicants to provide information on application status, requirements, and procedures Address inquiries and provide assistance to applicants throughout the visa application process Decision Making:Evaluate visa applications based on established criteria and make informed decisions on approvals or rejections Document and record decisions in the visa processing system Collaboration with Authorities:Collaborate with government agencies, embassies, and consulates to obtain information and support in visa processing Liaise with relevant authorities to resolve complex cases or issues Record Keeping and Reporting:Maintain accurate and detailed records of visa applications and decisions Generate reports on visa application statistics and trends Customer Service:Provide excellent customer service to visa applicants, addressing concerns and ensuring a positive applicant experience Assist in resolving issues related to visa applications and entry requirements Assist clients in visa processing and documentation.

Enrope Solutions Private Limited is looking for Social Media Intern to join our dynamic team and embark on a rewarding career journey Content Creation: Assist in creating and curating content for various social media platforms, including text posts, images, videos, and infographics Ensure that content aligns with the brand's voice and messaging Scheduling and Posting: Schedule and publish social media posts on platforms like Facebook, Instagram, Twitter, LinkedIn, and others Use social media management tools to plan content calendars Audience Engagement: Monitor social media channels for comments, messages, mentions, and direct interactions from followers Engage with the audience by responding to inquiries and comments Analytics and Reporting: Track the performance of social media campaigns and posts using analytics tools Provide insights and data on key performance metrics, such as reach, engagement, and conversion rates Trend Analysis: Stay updated on social media trends, hashtags, and discussions related to the industry and brand Use this information to inform content creation and engagement strategies Competitor Research: Research and analyze the social media presence of competitors to identify opportunities for improvement and differentiation Hashtag Research: Identify relevant hashtags to use in posts to increase discoverability and engagement Create branded hashtags when appropriate

Riviera Tours and Travel is looking for Operation Executive to join our dynamic team and embark on a rewarding career journey Communicating with upper management to develop strategic operations goals. Developing strategic long-range plans to achieve strategic objectives. Creating and managing the organizations fiscal operating and capital budget and expenses. Monitoring operational performance of both internal and external service providers. Monitoring facility condition and environmental performance and recommending or approving funding levels and spending plans. Providing a workplace setting that is conducive to productive work. Monitoring occupant satisfaction. Monitoring construction and renovation projects. Monitoring performance metrics. Receiving and responding to approvals and notifications.

Red FM is looking for Intern to join our dynamic team and embark on a rewarding career journey Assist in various tasks and projects as assigned. Conduct research and gather information. Support team members with administrative duties. Participate in meetings and contribute ideas. Learn about industry practices and company operations.