We seek an innovative professional with expertise in AI tools like Copilot to boost engineering productivity. The role involves identifying bottlenecks, proposing tailored GenAI solutions, and integrating them into networking product development to streamline workflows and drive AI adoption across teams. Technologies: ------------------- GenAI Algorithms, LLM's, NLP, Hugging Face, RAG, OpenAI models, Microsoft and GitHub Copilot, Agentic AI, AI-powered tools, Advanced python for Datascience, Flash , REST API, debugging tools, parser tools, troubleshooting and investigating capabilities. Required Qualifications: ------------------------ 2+ years using GitHub Copilot, OpenAI, and other AI coding tools to boost development productivity. 2+ years in GenAImodel design, fine-tuning, and deployment. 3+ years in Pythonbuilding AI/ML pipelines, automation tools, and data processing scripts. Hands-on experience applying GenAI/ML for code generation, summarization, workflow automation, and virtual assistants. Delivered AI-driven impact in 23 engineering projects. Ability to identify and develop use cases in BI, automation, and areas like smart troubleshooting and adaptive testing. Proficient in LLMs, NLP, and AI/ML for software and networking applications. Knowledge of integrating AI with platforms like Webex, Zoom, and Teams via APIs. Skilled in scripting, automation, and AI-augmented workflows. Experienced in Agile/Scrum. Strong problem-solving, communication, and mentoring skills; able to work independently and collaboratively. Desired Skills: ------------------ GitHub Copilot certification. Experience with networking products software development. Familiarity with CI/CD, DevOps, and automation tools. Understanding of responsible AI practices. Experience with data analysis and visualization for AI productivity. Knowledge of cloud-based AI services and integrations. Primary Skills GenAI, LLMs, AI Tools, Python

Job Summary: We are seeking a Senior Data & AI/ML Engineer (Lead) with strong expertise in Google Cloud Platform (GCP) and hands-on experience in building, deploying, and managing machine learning solutions at scale. The ideal candidate will lead AI/ML initiatives, mentor a team of engineers, and collaborate cross-functionally to drive data-driven innovation and business value. Key Responsibilities: Lead the end-to-end design and implementation of scalable AI/ML models and data pipelines on GCP. Drive architecture and design discussions for AI/ML solutions across cloud-native environments. Collaborate with data scientists, analysts, and business stakeholders to define requirements and deliver intelligent solutions. Manage and optimize data pipelines using tools such as Dataflow, Pub/Sub, BigQuery, Cloud Functions , etc. Deploy ML models using Vertex AI , AI Platform , or custom CI/CD pipelines. Monitor model performance and manage model retraining, versioning, and lifecycle. Ensure best practices in data governance, security, and compliance. Mentor junior engineers and data scientists; provide leadership in code reviews and project planning. Required Skills: 8+ years of experience in Data Engineering, Machine Learning, or AI application development. Strong programming skills in Python (preferred) and/or Java/Scala . Hands-on experience with GCP services : BigQuery, Vertex AI, Cloud Functions, Dataflow, Pub/Sub, GCS, etc. Proficient in ML libraries/frameworks like TensorFlow, PyTorch, Scikit-learn . Deep understanding of data modeling, feature engineering, and model evaluation techniques. Experience with Docker , Kubernetes , and ML Ops tools. Strong background in SQL and data warehousing concepts. Exposure to data security and compliance best practices (GDPR, HIPAA, etc.). Nice to Have: GCP Certification (e.g., Professional Machine Learning Engineer , Data Engineer ) Experience with streaming data architectures . Familiarity with AI ethics , explainability , and bias mitigation techniques . Education: Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Job Title: LLM Evaluation Expert Coding Location: Remote Company Overview: AGI Data Services is at the forefront of AI innovation, specializing in the development and refinement of large language models (LLMs). Our mission is to build intelligent systems capable of understanding and generating high-quality code, revolutionizing the software development process. Job Summary: We are seeking a highly skilled LLM Evaluation Expert – Coding to assess and improve the performance of AI-generated code across multiple programming languages and paradigms. You will play a critical role in evaluating the technical accuracy, efficiency, and quality of code produced by LLMs. Your insights will directly influence the evolution of our next-generation AI coding assistants. Key Responsibilities: - Analyze and evaluate code generated by LLMs across different programming languages and styles. - Select the best solutions from multiple AI-generated code options based on correctness, performance, and best practices. - Write high-quality code demonstrations that set benchmarks for excellence in AI-generated programming output. - Provide constructive, detailed feedback on code quality to enhance model performance. - Collaborate with AI researchers to identify patterns, gaps, and improvement areas in the model's coding capabilities. - Contribute to the development of coding standards, style guides, and evaluation frameworks. - Stay updated with emerging trends in software engineering, machine learning, and AI-assisted development tools. Required Qualifications: - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. - 1+ years of professional experience in software development across multiple languages (e.g., Python, Java, JavaScript, C++, etc.). - Strong understanding of software engineering principles, coding standards, and design patterns. - Experience in technical evaluation, code review, or setting quality benchmarks for development. - Familiarity with AI/ML concepts, especially related to LLMs, NLP, and code generation. - Strong technical writing and communication skills, with a proven ability to explain code clearly and concisely. Preferred Qualifications: - Prior experience working with or evaluating AI/LLM-based code generation systems. - Experience in developing or maintaining internal coding guidelines or documentation. - Exposure to open-source contributions or writing developer tutorials. - Understanding of machine learning workflows or data science platforms . If you have any queries, you can reach out to me at any time.

Role & responsibilities As Senior Data Scientist, you will be responsible for a wide range of engagements listed below: Formulates complex problems into hypotheses and proofs of concept for testing. Socializes this with the rest of the team and guides them to deliver on it. Applies business acumen in analyses to extract meaningful and actionable information. Communicates complex ideas and insights effectively to stakeholders with various levels of technical experience. Leverages various analytical techniques, appropriate to solving the business problem at hand. Performs research for solutions and solves problems efficiently to overcome data analytics challenges. Engages in the collection, integration, analysis, and presentation of data for various business contexts Understands good software development practices (versioning, peer reviews, refactoring, and pair programming), adapts them to the needs of the team and sets an example for others by following them. Creates and maintains technical documentation of the scientific experimentations performed, preferably in the CRISP-DM framework or like. Keeps up with the latest trends, technologies, and best practices in the field of Data Science and Engineering. Shares this knowledge with the rest of the data science team. Does peer reviews of codes and approaches of fellow members of the data science team. Provides mentorship to junior data scientists in the team. Looks for improvements in data science delivery processes, actively seeks buy-in on the improvements from peers and managers, implements them in the team and monitors their adoption. 4 to 6 years experience is mandatory Preferred candidate profile Advanced knowledge in one or more areas besides Machine Learning Operations Research, Natural Language Processing, Deep learning and its applications, Time Series forecasting at scale. Reinforcement Learning, Graph Machine Learning, Explainable Machine learning. Advanced understanding of Cloud technologies and experience of deploying applications on cloud.

Role & responsibilities GENAI Engineers : GenAI Engineer with Python strong coding skill Should have familiarity with GenAI fine tuning. Should be able to fine tune open source LLMs Flux and Stable diffusion SDXL) and having ML background Individual contributors with good understanding of SDLC, AI/GenAI/ML algorithms, Python and hands on experience of creating model for business outcomes with experience as below.

We are looking for a talented and experienced AI/ML Tech Lead to join our growing team. The ideal candidate will have 10+ years of hands-on experience to drive innovation and lead AI initiatives within our organization. Design,Development of AI

Job Title: Technical Project Manager Location: Hyderabad Experience Required: 10+ years Job Type: Full-time ( Onsite ) Shift Timmings : 2 PM IST TO 11 PM IST Overview: We are looking for an experienced Technical Project Manager with a strong background in IT project management to lead and coordinate technology projects for global clients. The ideal candidate should have a minimum of 10 years of experience in delivering complex IT projects, preferably in a fast-paced, Agile environment. Experience working with large Indian MNCs and handling US-based client engagements with offshore development teams in India is highly desirable. Key Responsibilities: Lead the planning and implementation of technical projects across cross-functional teams. Serve as the primary point of contact for US-based clients and ensure effective communication and stakeholder management. Manage project scope, timelines, resources, risks, and deliverables in a structured and efficient manner. Coordinate with India-based development teams and ensure alignment with client expectations and project goals. Work closely with product owners, developers, QA teams, and other stakeholders to drive project success. Monitor and report on project progress using Agile metrics and tools (e.g., JIRA, Confluence, etc.). Ensure high standards of project governance, documentation, and quality control. Identify and manage risks proactively and implement mitigation plans as needed. Requirements: Minimum 10 years of experience in IT project management with at least 5 years in Agile environments. Proven track record of managing large-scale projects with offshore development teams. Experience working in or with large Indian MNCs. Strong client-facing skills with the ability to manage expectations and relationships, especially with US-based clients. Hands-on experience with Agile/Scrum methodologies and tools. Excellent communication, leadership, and organizational skills. Experience in managing multiple concurrent projects.Development background is a strong plus. PMP, CSM, or similar certifications are preferred. Preferred Qualifications: Exposure to AI/ML projects or familiarity with artificial intelligence concepts and delivery models. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with DevOps practices and cloud-native application development. Ability to adapt quickly and manage changing priorities in a dynamic environment.

We are looking for Geospatial AI Engineer (Satellite, Drone & LiDAR Data Processing) Location - Mumbai. (WFO). Role Overview: We are looking for a Geospatial AI Engineer with hands-on experience in processing satellite, drone, and LiDAR data and deploying AI models for geospatial applications. The ideal candidate should have expertise in remote sensing, deep learning, and scalable AI deployment for real-world geospatial use cases. Key Responsibilities: - Geospatial Data Processing: Preprocess and analyze satellite, drone, and LiDAR datasets using GIS and remote sensing tools. - AI Model Development: Build, train, and fine-tune AI models for object detection, segmentation, land use classification, and anomaly detection in geospatial data. - Model Deployment & Optimization: Deploy geospatial AI models on cloud (AWS/GCP) and edge devices (Jetson, embedded systems), ensuring scalability and efficiency. - Geospatial Visualization: Utilize GIS tools (ArcGIS, QGIS, Google Earth Engine) to visualize and interpret model outputs. - Data Pipeline Automation: Develop end-to-end pipelines for geospatial AI workflows, integrating cloud storage, inference, and post-processing. - Collaboration: Work with GIS specialists, remote sensing experts, and software engineers to develop production-ready AI solutions. Required Skills: - Remote Sensing & GIS: Hands-on experience in processing and analyzing satellite, drone, and LiDAR data. - AI/ML for Geospatial Data: Proven experience in deep learning frameworks (TensorFlow, PyTorch) for geospatial applications. - Programming: Strong Python skills (Geopandas, Rasterio, OpenCV, PyTorch/TensorFlow). - Geospatial Data Processing: Experience with GDAL, PDAL, Google Earth Engine, and spatial databases (PostGIS). - Model Deployment: Hands-on experience deploying AI models on AWS/GCP/Azure and edge devices like NVIDIA Jetson. - End-to-End AI Solutions: Prior experience in deploying and maintaining geospatial AI models in real-world applications. Preferred Experience: - Proven track record of deployed models for land use classification, vegetation classification, deforestation monitoring, infrastructure mapping, flood prediction, etc. - Experience in optimizing AI models for real-time inference on cloud and edge computing platforms. - Exposure to hyperspectral/multispectral imagery and SAR data processing. - Knowledge of MLOps for managing geospatial AI pipelines. Education & Qualifications: Bachelor's/Masters degree in Computer Science, GIS, Remote Sensing, AI/ML, or a related field. 3+ years of industry experience with hands-on model deployment.

Job Title: Senior AI Engineer Location: Bangalore (Hybrid) Experience: 4+ years Employment Type : Full-time Preferred : Immediate - within 15 days joiners only Company Overview : Join KrtrimaIQ Cognitive Solutions, a leading AI/ML company enabling intelligent enterprises through advanced technologies like machine learning, NLP, computer vision, and automation. Be part of a dynamic team transforming data into powerful business decisions. Key Responsibilities : - Design, develop, and deploy AI/ML models using Large Language Models (LLMs) and Multimodal LLMs. - Work on building and optimizing Retrieval-Augmented Generation (RAG) pipelines for real-world use cases. - Implement and fine-tune transformer models using Hugging Face and PyTorch. - Conduct experiments, benchmark models, and continuously improve performance and scalability. - Collaborate with data engineers and product teams to integrate AI models into production environments. - Stay updated with the latest advancements in generative AI, LLM architectures, and open-source frameworks. Required Skills : - Strong hands-on experience with LLMs (GPT, LLaMA, Mistral, etc.) and Multimodal models (e.g., CLIP, Flamingo). - Expertise in PyTorch and Hugging Face Transformers. - Proficiency in building RAG-based solutions, integrating vector databases like FAISS, Pinecone, or Weaviate. - Solid understanding of deep learning concepts, NLP, and model evaluation techniques. - Experience in deploying and scaling AI models in production environments. - Good programming skills in Python and familiarity with APIs and ML Ops tools. Preferred Qualifications : - Master's or Bachelor's degree in Computer Science, AI, Data Science, or related fields. - Experience with distributed computing and cloud platforms (AWS/GCP/Azure). - Contributions to open-source projects or research papers in the AI/ML domain. Why Join Us ? - Cutting-edge AI/ML projects - Flexible hybrid work culture - Competitive compensation and benefits - Opportunity to grow in a rapidly scaling AI company

Job Details: Results-oriented and technically proficient Senior Python Developer with 6 to 8 years of hands-on experience in backend development using Django framework . Proven expertise in designing and building scalable web applications, robust RESTful APIs, AI-driven solutions, and content management systems (CMS). Adept at image and video processing, system integration, and working in cross-functional teams. Skilled at collaborating directly with frontend developers, DevOps engineers, and business stakeholders to deliver value-driven solutions aligned with organizational goals. Core Competencies: Backend Development : Python, Django, Django Rest Framework (DRF), Flask API Development : RESTful APIs, GraphQL, AI/ML Integration : OpenCV, TensorFlow, PyTorch, scikit-learn Image & Video Processing : OpenCV, PIL, FFmpeg, MediaPipe Databases : PostgreSQL, MySQL, SQLite, MongoDB Cloud & DevOps : GCP, Docker, Git Frontend Collaboration : HTML, CSS, JavaScript, React (basic) Tools : Postman, Swagger, GitHub Project Management : Agile/Scrum, Jira Roles & Responsibilities: Develop and maintain scalable web applications using Python and Django . Design and implement RESTful APIs and backend services for web/mobile applications. Build and integrate AI and ML components , especially in image classification, face/object detection, or recommendation systems. Work with image and video processing tools to support media-rich applications. Develop and manage CMS-based platforms using Django-CMS or Wagtail. Collaborate with frontend developers to deliver seamless user experiences. Coordinate directly with product owners and business teams to understand requirements and propose effective solutions. Optimize application performance, ensure security best practices, and manage deployment pipelines. Lead and mentor junior developers, review code, and drive project delivery. Professional Experience: 6 to 8 years of solid experience in full-stack or backend-focused development roles. Proven experience working on AI/ML modules, media processing, and CMS-driven platforms. Educational Qualification: Bachelors or Masters degree in Computer Science / IT or related technical field.

Job Description: Designation: Junior Developer -AI/ML Automation Stream Number of Positions 3 Positions Location 2 positions in Mumbai 1 position in Chennai Educational Qualification Graduates with B.Tech./ BE/ MCA degrees from Indian accredited institution (IIT) Candidates with relevant industry certifications in AI / ML / Data Science will be preferable Experience and Age At least 0-4 years of experience with Information Technology. At Least 0-2 Years of experience in AI/ML Solutions with hands-on experience in development of ML/ Deep Learning algorithms At Least 0-2 Years of experience in Python, R programming Exposure working in Remote process automation tools Experience working with Restful API and general SOA Architecture will be preferable Job Profile Understand Business Requirements and identify opportunities for ML Solutions Develop data solutions and insights using data modeling, machine learning, statistics and analytics. Ensure implementation of best suited ML solution for the business problem with data accuracy, consistency and performance in mind Deploy ML and DL models to production Optimize the model performance, latency, memory and throughput Conduct inference testing on hardware, version control of models, metadata, experiments Design and develop AI solutions applying Machine Learning models, Deep Learning, Classification models, statistical methods and NLU/NLP Develop processes and tools to monitor model performance and data accuracy. Analyze the data trends and recommend action/ steps to the leadership of the business divisions or control divisions to improvise their performance. Conduct analysis of respective business & provide insights with respect to leading and lagging indicators within business to enable effective decision making. Present information using data visualization techniques. Look for continuous optimization and improvements. Develop ML SMEs within the organization. Primary Skills Good programming Skills and analytical abilities Structured Thinking and Strong Problem-Solving Skills Coding Proficiency in AI Programming languages like Python, R, Java etc. Python libraries such as Spark, pandas, scikit, etc. Identifying, extracting, and creating meaningful features from raw data to improve model performance, including techniques like scaling, normalization, and polynomial features. Deep understanding of Principal Component Analysis (PCA), t-SNE, and LDA will be preferable. Applying statistical tests such as ANOVA, chi-square, and t-tests. Optimizing machine learning models through hyperparameter tuning techniques like Grid Search, Random Search, and Bayesian Optimization. Evaluating model performance using cross-validation, ROC curves, AUC, precision-recall, and confusion matrix to ensure robustness and generalization. Analyzing and forecasting time-dependent data using ARIMA, SARIMA, and LSTM models, as well as handling seasonality and trend components. Applying regularization methods such as L1 (Lasso), L2 (Ridge), and Elastic Net. Utilizing Bayesian methods for probabilistic modeling, including experience with tools like PyMC3 or Stan for implementing Bayesian networks and hierarchical models. Implementing Classic MLs, XGBoost, LightGBM, SVM, KNN and stacking to enhance model accuracy and robustness. Good functional and hands on knowledge in ML Techniques and tools like TensorFlow, Keras, Apache MxNet. Strong Math Skills (Multivariable Calculus and Linear Algebra). Exposure to GEN AI such as ChatGPT, Lama, Amazon bedrock, gemini etc. Experience working with RESTful API and general SOA Architecture. Good understanding and experience in ML cloud Platforms like Amazon SageMaker, H2O.ai etc. Expertise in industry leading design and architecture principles Secondary Skills Familiarity with Cloud Architecture, Development of AI/ ML based solutions on Cloud (AWS/ Azure etc.) Strong knowledge of storage data architecture or data lakes Interpersonal and Leadership Skills and strong business acumen Able to collaborate with cross functional teams. Certifications associated to AI/ML will be an added advantage. Financial Domain knowledge is another advantage. Has good exposure and hands on experience to BI Tools like Power BI, Tableau, Apache superset or equivalent visualization tools SQL, ETL, Data Mining, Building Statistical Models for Large Datasets and BI/ Data Visualization tools. Competency Identify areas to implement ML solutions in the current application stack. Lead architecture and development of ML solutions for the organization. Solid knowledge and hands on experience in analyzing large amounts of information to find patterns and BI solutions. Usage of Statistics and ML Algorithms to arrive at custom data models to provide accurate outputs. Resolve complex technical issues in implementation of AI and ML Solutions. Ability to work effectively under pressure to meet critical deadlines. Presenting results in a clear and concise manner Excellent Verbal and Written - Communication and Presentation Skills. Ability to upskill in relevant area as required.

• Collaborate with cross-functional teams and stakeholders to understand business requirements and align AI solutions with objectives. • Design, develop, and deploy machine learning models and algorithms, including LLM-based solutions and fine-tuning. • Conduct data analysis and preprocessing to ensure high-quality input for AI models. • Evaluate and optimize AI system performance, including monitoring for model drift. • Stay updated on emerging AI technologies and assess their potential business applications. • Provide technical leadership and mentorship to team members on AI/ML best practices. • Communicate findings and insights to stakeholders effectively. • Participate in project planning, estimation, and execution. • Develop and optimize RAG architecture using Vector DB or Knowledge Graph. • Engineer robust ML pipelines and infrastructure using on-premises/cloud tools.

#2+ yrs exp. in technical writing for SaaS, AI, developer-focused products #Translate complex concepts into user-friendly content #Writing API documents developer guides, manuals with Swagger, Postman, ReadMe *Creating video or technical blog content Required Candidate profile *Exp. with AI-driven SaaS products, APIs, and data automation platforms *Knowledge of Python, JavaScript, GitHub, JIRA For Future contact:9500996913

Hiring for AI ML Developer !!!! Job Description: Job Title - Senior AI Resource - Generative AI / ML Location Mumbai / Pune / Gurgaon Notice Period Immediate Joiner / 15 days max Experience 5+ Yrs Key Responsibilities: AI Model Development : Design and develop advanced AI/ML models, especially in generative AI, using state-of-the-art techniques and methodologies. Contribute to building scalable solutions aligned with best practices in software development. Model Training & Tuning : Train, fine-tune, and optimize generative models to meet specific business and technical requirements, ensuring high-quality and effective results. Model Deployment Support : Assist in deploying generative models into production, collaborating with engineers to ensure seamless integration with existing systems and workflows. Performance Evaluation : Evaluate and benchmark the performance of generative models using appropriate testing methodologies. Continuously iterate on models for improvement. Documentation : Create and maintain clear documentation for developed models, algorithms, and systems to ensure easy understanding and future updates by team members. Research & Application : Keep abreast of the latest developments in generative AI and ML research. Apply emerging techniques and algorithms to current or upcoming projects. Collaboration : Work closely with cross-functional teams (such as engineers, data scientists, and product managers) to align AI model outputs with business objectives, contributing to the successful completion of projects. Mentorship : Provide support and guidance to junior AI engineers and data scientists. Help foster a culture of continuous learning and skill development within the team. Qualifications: Proven experience (5+ years) in developing AI/ML models and solutions, with a strong focus on generative AI. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong programming skills in Python and experience with data manipulation, cleaning, and preprocessing. Experience with cloud platforms (e.g., AWS, Azure, GCP) and deployment tools. Practical experience in model evaluation , including measuring accuracy, efficiency, and scalability. Familiarity with the entire machine learning lifecycle: data collection, training, deployment, and monitoring.

About Us: At CentraLogic, youll join a dynamic team of professionals dedicated to providing solutions using appropriate technologies. CentraLogic is a young and dynamic organization specializing in emerging technologies while supporting existing systems. CentraLogic is committed to ethical practices, transparency, and a collaborative environment that promotes growth, learning, and innovations. Roles and Responsibilities: Develop AI/ML applications with Python and FastAPI. Build and deploy RAG systems using LangChain, LangGraph, and vector databases (FAISS, OpenSearch, Pinecone). Fine-tune LLMs (e.g., OpenAI, Claude, Meta) and apply Prompt Engineering. Manage containers with Docker and version control with Git. Train models with Hugging Face Transformers. Perform data cleaning, normalization, scaling, and handle imbalanced data. Build ML models (Regression, Classification, Clustering) using pandas, NumPy, scikit-learn. Create data visualizations using Seaborn and Matplotlib. Ensure API security (OAuth2, JWT, CORS) and assist with CI/CD pipelines. Track and document model training, evaluation metrics (Precision, Recall, F1 Score, ROC-AUC). Deploy models using cloud services (AWS, GCP, Azure). Use LangSmith for LangChain workflow monitoring. Candidate Profile We are seeking a motivated and results-oriented individual who: 02 years of experience in AI/ML development, NLP, or LLMs. Strong Python skills and experience with ML libraries and frameworks. Good understanding of LLMs, RAG systems, and Prompt Engineering. Experience with APIs, containerization, and Git. Analytical, self-motivated, and eager to learn new technologies. Strong problem-solving and communication skills. Able to work independently and collaboratively. Required Qualifications Bachelor’s degree in Computer Science, Information Technology, Data Science, AI, or related field. Master’s degree is a plus. Certifications or practical coursework in ML, NLP, or Cloud technologies will be an added advantage. Work Environment This is a work-from-office position, in Hinjewadi Pune. You will be required to work as per the working hours of respective geographies. Regular virtual meetings and collaboration with team members and clients.

Role –AIML Gen AI Engineer Location: Chennai/ Bangalore/ Hyderabad Experience: 5+ Years Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Greetings from Peoplefy Infosolutions !!! We are hiring for one of our reputed MNC client based in Pune . We are looking for candidates with 3 + years of experience in below skills - Primary skills : Java Selenium AIML Artificial Intelligence Automation Testing Interested candidates for above position kindly share your CVs on chitralekha.so@peoplefy.com with below details - Experience : CTC : Expected CTC : Notice Period : Location :

This role, part of the Digital group, will be responsible for managing, execution and supporting multiple digital projects & initiatives to digitally transform the organization. - Will work closely with his Manager for driving the Digital & Analytics (Smart Manufacturing) roadmap. - Provide program management support for the Digital group in terms of project updates, budgeting, benefit realization and alignment to strategy. - Identification, ideation, conceptualization, analysis and execution of Digital opportunities across the value chain including smart manufacturing (Industry 4.0, IoT) & Advance Analytics (ML/AI), digital workplace & customer experience across all pillars and verticals. - Working closely with SMEs (management, plant staff, support functions etc.) to evangelize and elaborate digital transformation use cases and drive cultural change. - Work closely with vendors/strategic business partners for planning, executing & supporting Digital projects. - Actively research new trends and emerging technologies to see how they can bring business value. - Bring newer ways of working, agility and innovation in solutioning.

raja.a@honeybeetechsolutions.com RESUME SHARE ME

Role & responsibilities Bachelors degree in computer science, Engineering, or related field. •3+ years of experience in software development. •Experience with cloud platforms (e.g., AWS, Azure). •Proficiency in Kafka for real-time data streaming. •Strong experience with Snowflake for data warehousing. •Expertise in Terraform for infrastructure automation. •Solid knowledge of .NET framework for application development. •Extensive experience with SQL Server for database management. •Proficiency in SSIS for ETL processes. •Familiarity with Agile development methodologies.

Job Summary: As part of our AI/ML , you will work closely with data scientists, engineers, and business stakeholders to design, develop, and deploy machine learning models and AI-powered solutions. You will use Dataiku to build robust, scalable, and automated data science workflows that drive business value. Your expertise in AI/ML techniques combined with your experience using Dataiku will be key to transforming data into actionable insights. Key Responsibilities: AI/ML Model Development & Deployment: Design, develop, and deploy machine learning models and AI solutions using Dataiku . Build end-to-end machine learning pipelines that automate data preparation, feature engineering, training, validation, and deployment of models. Leverage Dataikus AutoML capabilities to streamline model building while ensuring model performance. Work with stakeholders to identify and prioritize AI use cases that align with business objectives. Collaboration & Knowledge Sharing: Collaborate with cross-functional teams (data engineers, business analysts, product owners) to integrate machine learning solutions into business workflows. Share insights and knowledge on best practices in data science, machine learning, and the use of Dataiku . Create and maintain detailed documentation for models, pipelines, and workflows within Dataiku . Data Management & Feature Engineering: Work with large datasets, performing feature engineering and transformation to prepare data for machine learning tasks. Utilize Dataiku’s data wrangling capabilities to clean, transform, and organize data for efficient processing. Build reusable data processing workflows within Dataiku to automate recurring tasks and streamline model development. Model Monitoring & Optimization: Continuously monitor and fine-tune deployed models to ensure they deliver high-quality predictions and insights. Implement strategies for model versioning, testing, and monitoring performance over time. Ensure that models adhere to business requirements and ethical AI practices. Innovation & Research: Keep up with the latest trends and advancements in AI/ML techniques and tools. Explore new AI/ML algorithms and methodologies to improve model performance. Contribute to the ongoing evolution of Dataiku workflows to incorporate cutting-edge practices in AI/ML. Required Skills & Qualifications: Experience: 3+ years of experience in machine learning and data science, with a strong focus on deploying models at scale. Hands-on experience working with Dataiku for building, deploying, and automating ML workflows. Proven track record of end-to-end project delivery in AI/ML, including problem definition, model building, validation, and deployment. Technical Skills: Proficiency in Python , R , or similar programming languages used for AI/ML. Solid understanding of machine learning algorithms, statistical modeling, and model evaluation techniques. Experience with Dataiku and its features such as AutoML, visual recipes, and integration with various machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). Familiarity with cloud environments (AWS, GCP, or Azure) for scalable model deployment. Knowledge of data preprocessing, feature engineering, and optimization techniques. Familiarity with model monitoring, model lifecycle management, and version control in data science projects.

Job Title: Junior Data Science Engineer AI/ML Experience Level: 1 to 2 years About the Role: We're looking for sharp, curious, and motivated junior data science engineers to join our innovation-driven team. In this role, you'll work alongside experienced engineers, data scientists, and product teams to prototype cutting-edge solutions involving AI agents, large language models (LLMs), and unsupervised learning techniques. You'll be exposed to end-to-end solution building from hypothesis to prototype to pilot in a collaborative, fast-paced environment where ideas move quickly from whiteboard to working system. What You’ll Do: Prototype AI agents using LLMs (e.g., OpenAI, Claude, Mistral, etc.) Explore and apply clustering and unsupervised learning methods (e.g., k-means, DBSCAN, topic modeling, dimensionality reduction) Develop proof-of-concept solutions and experiment with ideas across different domains Collaborate with cross-functional teams including ML engineers, product managers, and senior data scientists Analyze structured and unstructured data from various sources (APIs, databases, logs, documents, etc.) Continuously learn, test, and apply new advancements in the AI/ML space What We’re Looking For: Strong foundation in statistics, probability, and machine learning Solid understanding of unsupervised learning algorithms and their use cases Hands-on experience with clustering, anomaly detection, or dimensionality reduction Basic familiarity with LLMs and prompt engineering Proficiency in Python and libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow Familiarity with building prototypes using Jupyter, Streamlit, or similar Growth mindset and a passion for experimentation and rapid learning Nice to Have: Exposure to AI agent frameworks (LangChain, AutoGen, CrewAI, etc.) Experience with API design or integration Familiarity with cloud platforms (AWS/GCP/Azure) Background in NLP, graph analysis, or time-series clustering

Expertise in Layer Management Strategies (Connected mode, Idle, Load base) Operationalization of new technology such as mmWave, SA, Slicing, IOT, Redcap, VoNR, next-gen networks. Creating guidelines and anchoring with MS team. Responsible for Level 3 Escalation and support and Collaborate with circle teams, core team, and vendors (Nokia, Ericsson, Samsung etc.) to resolve issues efficiently. MS and AT KPI finalization ( Threshold and Formula) New Feature FNI to drive improvement. Drive "out-of-the-box" thinking to resolve complex network challenges and implement innovative solutions. Perform deep-dive analysis of 4G/5G network KPIs to identify and resolve performance Issue. Optimize network parameters, features, and configurations to enhance coverage, capacity, and user experience for Data (4G, 5G) and voice (VoLTE and 2G). Perform root cause analysis for customer complaints. Expertise in E//, Nokia and Samsung Radio. Identify Automation & AI/ML-Driven Optimization use cases Analyze traffic patterns, congestion trends, and spectral efficiency to recommend network expansion and capacity upgrades. Support 5G SA/NSA deployment strategies, frequency refarming, and DSS (Dynamic Spectrum Sharing) initiatives. Work on QoS (Quality of Service) and QoE (Quality of Experience) enhancements. Benchmark network performance against competitors and recommend improvements.

Build & deploy real-time ML/AI models, analyze data, prototype features, and integrate AI via OpenAI/Gemini APIs. Req: Python, Java, TF, AWS, NLP, pipelines, comms. Bonus: MLOps, LLMs, certs. Bachelors+ in CS/Data Science preferred. Accessible workspace

Job Description: Minimum 3 years post qualification experience in IT Industry. Preferred: Hands-on experience in relevant field (within essential requirement of post basic qualification experience) in: Hands-on experience with any of the AI technologies - Machine Learning, Deep learning, Neural Networks Natural Language Processing, NLG and GenAI LLMS (LLMA 2, LLMA 3, Gemini, OpenAI, Open-Source models, etc,), SLMs. Proficiency in high-level programming languages like Python, C++, R. Preferred knowledge in practical applications of AI /ML, DL across Banking use cases. Ability to design & develop practical analytical approach keeping the context of data quality & availability, feasibility, scalability, turnaround time aspects. Strong understanding of explainable and Responsible/ Ethical AI framework. Experience in working with Tensor Flow, Keras, Pytorch. End to End AI Model development and Deployment. Design and develop AI-based banking applications and products. Work on bug fixing and improving application performance. Essential: B.Tech/ B.E. in Computer Science/ Computer Science & Engineering/Information Technology or Equivalent Degree in above specified disciplines with minimum 50% score.Or MCA or equivalent Or M.Tech/ M.Sc. in Computer Science/ Computer Science & Engineering/ Information Technology or Equivalent Degree in above specified disciplines. (From a University/ Institution/ Board recognized by Govt. Of India/approved by Govt. Regulatory Bodies) Preferred Certifications: Microsoft Certified: Azure AI Engineer Associate IBM AI Engineering Professional Certificate Google Professional Machine Learning Engineer Maximum Age 35 years Interested professionals are requested to apply thru this link ------ https://shorturl.at/ZJe4N