1936 Preprocessing Jobs - Page 5

🚀 We’re Hiring: Data Scientist – Team Lead (AI/ML) 🚀 📍 Location: Ahmedabad, Gujarat (On-site) 💼 Experience: 4 to 7 Years Are you passionate about turning data into actionable insights? We are looking for a highly skilled Data Scientist – Team Lead to drive AI/ML initiatives and lead our talented data team. Key Responsibilities: Lead and mentor a team of Data Scientists & ML Engineers Design, develop, and deploy AI/ML models for real-world applications Collaborate with cross-functional teams to solve complex business problems Ensure best practices in data preprocessing, model training, and evaluation Required Skills: ✅ Strong background in Machine Learning, Deep Learning, and NLP ✅ Proficiency in Python, R, TensorFlow, PyTorch, or similar frameworks ✅ Hands-on experience with data pipelines, feature engineering & big data tools ✅ Excellent leadership, problem-solving & communication skills Why Join Us? 🌟 Opportunity to work on innovative AI/ML projects 🌟 Collaborative & growth-oriented work culture 🌟 Competitive salary & benefits 📩 Apply Now – Send your resume to ansuya.ghosh@nexuslinkservices.in

You will be working at Whats up Kisan, an AgriTech platform that uses AI to provide Indian farmers with expert advice, personalized crop guidance, and real-time solutions. The company's goal is to make farming smarter, more sustainable, and prosperous by blending technology with traditional practices and supporting farmers to grow, thrive, and shape the future of Indian agriculture. As an AI/ML Specialist in Ernakulam, your primary responsibility will be to develop and implement machine learning models to analyze agricultural data. By doing so, you will offer insights that can enhance farming practices. Your daily tasks will include data collection, preprocessing, building, testing, and deploying AI models. You will also collaborate with cross-functional teams to optimize solutions and continuously monitor and improve the AI systems to meet the evolving needs of Indian farmers. To be successful in this role, you should have experience in developing and implementing machine learning algorithms, skills in data collection, preprocessing, and analysis, as well as knowledge of AI model building, testing, and deployment. Proficiency in programming languages like Python, R, or Java is essential. The ability to work collaboratively with cross-functional teams, strong problem-solving and analytical skills, and prior experience in the agriculture industry would be advantageous. A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field is also required.,

We are looking for a forward-thinking Data Scientist with expertise in Natural Language Processing (NLP), Large Language Models (LLMs), Prompt Engineering, and Knowledge Graph construction. You will be instrumental in designing intelligent NLP pipelines involving Named Entity Recognition (NER), Relationship Extraction, and semantic knowledge representation. The ideal candidate will also have practical experience in deploying Python-based APIs for model and service integration. This is a hands-on, cross-functional role where you’ll work at the intersection of cutting-edge AI models and domain-driven knowledge extraction. Key Responsibilities: Develop and fine-tune LLM-powered NLP pipelines for tasks such as NER, coreference resolution, entity linking, and relationship extraction. Design and build Knowledge Graphs by structuring information from unstructured or semi-structured text. Apply Prompt Engineering techniques to improve LLM performance in few-shot, zero-shot, and fine-tuned scenarios. Evaluate and optimize LLMs (e.g., OpenAI GPT, Claude, LLaMA, Mistral, or Falcon) for custom domain-specific NLP tasks. Build and deploy Python APIs (using Flask/Fast API) to serve ML/NLP models and access data from graph database. Collaborate with teams to translate business problems into structured use cases for model development. Understanding custom ontologies and entity schemas for corresponding domain. Work with graph databases like Neo4j or similar DBs and query using Cypher or SPARQL. Evaluate and track performance using both standard metrics and graph-based KPIs. Required Skills & Qualifications: Strong programming experience in Python and libraries such as PyTorch, TensorFlow, spaCy, scikit-learn, Hugging Face Transformers, LangChain, and OpenAI APIs. Deep understanding of NER, relationship extraction, co-reference resolution, and semantic parsing. Practical experience in working with or integrating LLMs for NLP applications, including prompt engineering and prompt tuning. Hands-on experience with graph database design and knowledge graph generation. Proficient in Python API development (Flask/FastAPI) for serving models and utilities. Strong background in data preprocessing, text normalization, and annotation frameworks. Understanding of LLM orchestration with tools like LangChain or workflow automation. Familiarity with version control, ML lifecycle tools (e.g., MLflow), and containerization (Docker). Nice to Have: Experience using LLMs for Information Extraction, summarization, or question answering over knowledge bases. Exposure to Graph Embeddings, GNNs, or semantic web technologies (RDF, OWL). Experience with cloud-based model deployment (AWS/GCP/Azure). Understanding of retrieval-augmented generation (RAG) pipelines and vector databases (e.g., Chroma, FAISS, Pinecone). Job Type: Full-time Pay: ₹1,200,000.00 - ₹2,400,000.00 per year Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Natural Language Processing (NLP): 3 years (Preferred) Language: English & Tamil (Preferred) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person

Selected Intern's Day-to-day Responsibilities Include Collect and extract data from primary and secondary sources using automated tools, databases, APIs, or web scraping techniques. Assist in cleaning, preprocessing, and organizing data for analysis and reporting purposes. Support the identification of patterns, trends, and anomalies in structured and unstructured datasets. Work with tools such as Python, Excel, SQL, or R to process large volumes of data. Collaborate with analysts to build and maintain data dashboards, visualizations, and reports. Assist in applying data mining techniques such as classification, clustering, regression, and association rule mining. Help maintain documentation and data integrity standards to ensure accurate results. Conduct competitor or market intelligence research using data scraping and public databases (if applicable). Stay updated on data privacy regulations and ensure ethical handling of sensitive data. About Company: LogicizeIP is devoted to helping individual entrepreneurs and inventors, institutions, universities, and companies secure their IP rights for their ideas, inventions, and designs at an affordable cost worldwide. We have started our journey with the mission of making IP services easier for new users and existing users to save their creations. We aim to experience IP services in the most convenient & hassle-free way. We ensure that your idea always belongs to you and is completely protected. Our vision is to encourage inventiveness and shield it.

Job Description: We're seeking a skilled and motivated ML/AI Engineer to join our team and drive end-to-end AI development for cutting-edge healthcare prediction models. As part of our AI delivery team you will be working on designing, developing, and deploying ML models to solve complex business challenges. Key Responsibilities: Design, develop, and deploy scalable machine learning models and AI solutions. Collaborate with engineers and product managers to understand business requirements and translate them into technical solutions. Analyse and preprocess large datasets for training and testing ML models. Experiment with different ML algorithms and techniques to improve model performance. Skills & Qualifications: Experience: B.Tech with 2-5 years of relevant experience in Machine Learning, AI, or Data Science roles. OR M.Tech, M. Statistics with 2-4 years of relevant experiencein Machine Learning, AI, or Data Science roles. Education: Bachelor's/master's degree in computer science or Statistics or any other relevant engineering / AI course from a Tier 1 or Tier 2 college. Technical Skills: Proficiency in programming languages such asPython & R Strong knowledge of classicalmachine learning algorithms with hands on experience in the following: Supervised (Classification model, regressions models) Unsupervised, (Clustering Algorithms, Autoencoders) Ensemble Models (Stacking, Bagging, Boosting techniques, Random Forest, XGBoost) Experience in data preprocessing, feature engineering, and handling large-scale datasets. Model evaluation techniques like accuracy, precision, recall, F1 score, AUC-ROC for classification, and MAE, MSE, RMSE, R-squared for regression. Explainable AI (XAI) techniques include methods like SHAP values, LIME, feature importance from decision trees, and partial dependence plots. Experience withML frameworkslikeTensorFlow, PyTorch, Scikit-learn,orKeras. Building & deploying Model APIs using framework like Flask, Fast API, Django, TensorFlow Serving etc. Knowledge ofcloud platformslike Azure (preferred), AWS, GCP and experience deploying models in such environments -> changed the wording, added points. Nice to Have: Object Oriented Programming. Familiarity withNLP, ortime seriesanalysis. -> Moving this into Nice to have, not bare min Exposure todeep learningmodels (RNN, LSTM) and working with GPUs.

Main Responsibilities Participating in the design and development of end-to-end data science analytics solutions using associated technologies Independent development of the problem solution steps and coding functionalities and its implementation by analysis of input and desired output Perform data preprocessing, harmonization, and feature engineering to prepare modeling datasets. Job Requirement Bachelor’s or Master’s degree in Computer Science, Data science, Data Analytics or a similar fields 2-4 years of working experience Advance knowledge in Python programming and experiences in data science using Python (familiar with the libraries Pandas, Scikit-learn, Streamlit, SpaCy, Gensim, NLTK, re, Plotly, Matplotlib, huggingface, transformer, openai, Langchain) Professional experience in the development of web applications such as WebApps and REST APIs with JavaScript frameoworks and with Python Experience with PowerApps and PowerAutomate Experience with data visualization techniques such as PowerBI etc. Experience in Machine Learning especially in the field of supervised machine learning and classification (create, train, apply classifier and evaluate results) Experience in regular expressions and natural language processing creating preprocessing pipelines) Familiar with and comfortable using the latest technological tools, including ChatGPT Working experience with LLMs (incorporate LLMs in WebApps to solve business tasks) and creating prompts for various tasks utilizing Langchain Primary location BASF Innovation campus at Turbhe, Navi Mumbai Job Information technology/Service

Job Description: Senior MLOps Engineer Position: Senior MLOps Engineer Location: Gurugram Relevant Experience Required: 6+ years Employment Type: Full-time About The Role We are seeking a Senior MLOps Engineer with deep expertise in Machine Learning Operations, Data Engineering, and Cloud-Native Deployments . This role requires building and maintaining scalable ML pipelines , ensuring robust data integration and orchestration , and enabling real-time and batch AI systems in production. The ideal candidate will be skilled in state-of-the-art MLOps tools , data clustering , big data frameworks , and DevOps best practices , ensuring high reliability, performance, and security for enterprise AI workloads. Key Responsibilities MLOps & Machine Learning Deployment Design, implement, and maintain end-to-end ML pipelines from experimentation to production. Automate model training, evaluation, versioning, deployment, and monitoring using MLOps frameworks. Implement CI/CD pipelines for ML models (GitHub Actions, GitLab CI, Jenkins, ArgoCD). Monitor ML systems in production for drift detection, bias, performance degradation, and anomaly detection. Integrate feature stores (Feast, Tecton, Vertex AI Feature Store) for standardized model inputs. Data Engineering & Integration Design and implement data ingestion pipelines for structured, semi-structured, and unstructured data. Handle batch and streaming pipelines with Apache Kafka, Apache Spark, Apache Flink, Airflow, or Dagster. Build ETL/ELT pipelines for data preprocessing, cleaning, and transformation. Implement data clustering, partitioning, and sharding strategies for high availability and scalability. Work with data warehouses (Snowflake, BigQuery, Redshift) and data lakes (Delta Lake, Lakehouse architectures). Ensure data lineage, governance, and compliance with modern tools (DataHub, Amundsen, Great Expectations). Cloud & Infrastructure Deploy ML workloads on AWS, Azure, or GCP using Kubernetes (K8s) and serverless computing (AWS Lambda, GCP Cloud Run). Manage containerized ML environments with Docker, Helm, Kubeflow, MLflow, Metaflow. Optimize for cost, latency, and scalability across distributed environments. Implement infrastructure as code (IaC) with Terraform or Pulumi. Real-Time ML & Advanced Capabilities Build real-time inference pipelines with low latency using gRPC, Triton Inference Server, or Ray Serve. Work on vector database integrations (Pinecone, Milvus, Weaviate, Chroma) for AI-powered semantic search. Enable retrieval-augmented generation (RAG) pipelines for LLMs. Optimize ML serving with GPU/TPU acceleration and ONNX/TensorRT model optimization. Security, Monitoring & Observability Implement robust access control, encryption, and compliance with SOC2/GDPR/ISO27001. Monitor system health with Prometheus, Grafana, ELK/EFK, and OpenTelemetry. Ensure zero-downtime deployments with blue-green/canary release strategies. Manage audit trails and explainability for ML models. Preferred Skills & Qualifications Core Technical Skills Programming: Python (Pandas, PySpark, FastAPI), SQL, Bash; familiarity with Go or Scala a plus. MLOps Frameworks: MLflow, Kubeflow, Metaflow, TFX, BentoML, DVC. Data Engineering Tools: Apache Spark, Flink, Kafka, Airflow, Dagster, dbt. Databases: PostgreSQL, MySQL, MongoDB, Cassandra, DynamoDB. Vector Databases: Pinecone, Weaviate, Milvus, Chroma. Visualization: Plotly Dash, Superset, Grafana. Tech Stack Orchestration: Kubernetes, Helm, Argo Workflows, Prefect. Infrastructure as Code: Terraform, Pulumi, Ansible. Cloud Platforms: AWS (SageMaker, S3, EKS), GCP (Vertex AI, BigQuery, GKE), Azure (ML Studio, AKS). Model Optimization: ONNX, TensorRT, Hugging Face Optimum. Streaming & Real-Time ML: Kafka, Flink, Ray, Redis Streams. Monitoring & Logging: Prometheus, Grafana, ELK, OpenTelemetry.

About the Role We are looking for a Senior AI Engineer to join our AI Platform team and play a critical role in designing, developing, and scaling next-generation AI-driven applications . You will work on Generative AI (GenAI), Agentic AI systems, AI-driven workflows, and intelligent automation , bringing together LLMs, RAG (Retrieval-Augmented Generation), embeddings, and model refinement techniques into production-ready solutions. This is a hands-on role that combines AI/ML expertise, software engineering skills, and product thinking to deliver intelligent enterprise applications. Key Responsibilities AI Application Development Design and build end-to-end AI applications , including prompt engineering, chaining, and orchestration. Implement agentic AI systems that can reason, plan, and execute workflows. Integrate AI with existing enterprise workflows and systems. LLMs and RAG Pipelines Develop RAG pipelines (embedding, vector search, retrieval) for contextual, domain-specific AI applications. Work with LLM APIs and open-source models (OpenAI, Anthropic, Llama, etc.) , and fine-tune or adapt models to domain requirements. Optimize context injection, prompt construction, and multi-turn conversational flows. Model Evaluation & Refinement Continuously evaluate AI model outputs and refine performance through prompt tuning, fine-tuning, and RLHF or similar techniques. Establish automated pipelines for model monitoring, feedback collection, and iterative improvements . Platform & Engineering Work with vector databases (pgvector, Pinecone, Weaviate, etc.), knowledge graphs, and embeddings at scale. Build API endpoints and microservices that expose AI capabilities in a scalable, production-grade manner. Ensure observability, logging, versioning, and A/B testing for AI services. Collaboration Collaborate with product managers, data engineers, and software engineers to define AI-driven features. Stay current with emerging trends in AI/ML, LLM architectures, and multi-agent systems . Required Skills and Qualifications Core Expertise Minimum 5+ years of experience in AI/ML engineering with a focus on applied AI solutions. Hands-on experience with LLMs (OpenAI, Anthropic, Hugging Face, etc.) and prompt engineering. Strong experience building RAG pipelines with embeddings and vector search . Software Engineering Proficiency in Python (FastAPI/Flask), or Java/Spring Boot for AI service development . Knowledge of microservices, APIs, and cloud-native architectures (AWS/GCP/Azure) . Data & Vector Systems Familiarity with pgvector, Pinecone, Weaviate, Milvus, or similar vector databases . Experience with data preprocessing, cleaning, and knowledge management for AI applications. AI Ops & Lifecycle Strong understanding of MLOps/LLMOps principles : model deployment, monitoring, retraining, and lifecycle management. Ability to evaluate AI outputs and incorporate feedback loops for model improvement. Soft Skills Problem-solving, analytical thinking, and a passion for innovation. Excellent communication and collaboration skills. Preferred Qualifications Experience building agentic AI systems or autonomous multi-agent workflows . Exposure to knowledge graphs and reasoning systems . Background in NLP, transformers, embeddings, and vector similarity search . Contributions to open-source AI/ML projects . Education Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. What We Offer Opportunity to build an AI platform from the ground up , shaping the future of enterprise AI. Work with cutting-edge AI technologies and research. Competitive compensation and benefits. A collaborative environment that values innovation and experimentation.

Job Purpose Report to the Director Data Analytics and collaborate with the team to produce insights, perform exploratory data analysis for leadership requests and maintain data visualization tools delivering people and business metrics. Design and develop compelling dashboards using advanced analytics, interactive dashboard design, and data storytelling techniques. Deliver operational talent reports with data-driven narratives. Engage with People team and business stakeholders to gather requirements and support scheduled/ad hoc reporting. Develop, implement, and maintain dashboards and reports for key stakeholders (e.g., Executive Leadership, HR leaders, Business Partners). Innovate to automate and streamline processes. Responsible for data cleansing, validation, testing, and large-scale data analysis. Handle sensitive human capital data with discretion and sound judgment. Collaborate with project teams to ensure correct identification of data impacted by changes. Education: Bachelor’s degree in engineering, Computer Science, Mathematics, or related technical field. Experience: 8+yrs of total experience with atleast 5yrs of relevant Experience in analytics roles working with large datasets. Self-motivated, curious, independent, and eager to learn. Technical Skills: Analytics data modelling, storytelling, and visualization using tableau, Power BI, SQL, other advanced analytical tools Exposure to R, Python is an added advantage. Experience in Workday reporting, Viva GLINT, Visier, HR data systems. Preprocessing structured/unstructured data. Advanced MS Excel, PowerPivot, Power BI, Power Platform, DAX. Other Requirements: Ability to work in virtual teams across time zones. Broad understanding of HR processes and metrics (e.g., Workforce Metrics, Recruitment, Compensation, Talent Management). People management experience (a plus). Knowledge of ERP, HR systems, and Business Intelligence tools. Ability to handle stress and prioritize effectively with management support.

Introduction A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions. Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career. We are seeking a skilled software developer to join our IBM Software team. As part of our team, you will be responsible for developing and maintaining high-quality software products, working with a variety of technologies and programming languages. IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. Your Role And Responsibilities AI Development and Implementation: Design, develop, and deploy cutting-edge AI solutions using GenAI technologies. Implement and optimize Large Language Models (LLMs) for natural language processing (NLP) applications. Leverage Retrieval-Augmented Generation (RAG) techniques to enhance AI-driven insights and decision-making. Integration to Enterprise Software: Integrate AI models/Agents with Enterprise Software tools to generate high-quality data driven AI use-cases. Develop custom AI algorithms and Agents to integrate novel features in to the product. Solution Optimization and Integration: Fine-tune NLP models to align with domain-specific needs and improve accuracy. Collaborate with cross-functional teams to integrate AI solutions into enterprise workflows. Mentorship and Leadership: Mentor junior developers on AI best practices, tools, and frameworks. Lead brainstorming sessions to explore innovative AI applications and solutions. Research and Innovation: Stay updated with the latest advancements in AI, GenAI, LLMs, and RAG to continuously enhance systems. Conduct proof-of-concept projects to evaluate emerging technologies for business use cases. Preferred Education Bachelor's Degree Required Technical And Professional Expertise Programming Expertise: Proficient in Python with demonstrated experience in AI and ML development. AI Agents, GenAI and LLMs: Strong expertise in GenAI concepts, including the design, deployment, and optimization of Large Language Models (LLMs), Designing AI Agents and deployments. NLP Skills: Advanced knowledge of NLP techniques for text analysis, summarization, and contextual understanding. RAG Expertise: Hands-on experience with Retrieval-Augmented Generation (RAG) to enhance knowledge retrieval systems. Tools and Frameworks: Proficiency with AI frameworks like TensorFlow, PyTorch, Hugging Face, or similar. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying AI solutions. Preferred Technical And Professional Experience DevOps and MLOps: Knowledge of deploying AI models in production environments using MLOps best practices. Data Engineering: Familiarity with data preparation, preprocessing pipelines, and working with unstructured datasets. Agile Methodologies: Experience working in Agile development environments for iterative delivery. Soft Skills: Strong problem-solving skills, attention to detail, and ability to communicate complex concepts to technical and non-technical stakeholders.

Position Title: AI Ops Engineer Position Type: Regular - Full-Time Position Location: New Delhi Grade: Grade 06 Requisition ID: 32845 Job Purpose Design, develop, and implement artificial intelligence (AI) solutions that leverage advanced algorithms and machine learning techniques to solve complex business problems. Work closely with cross-functional teams to understand requirements, gather and analyze data, and build AI models that can automate processes, improve decision-making, and drive innovation. Job Responsibilities Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs. Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance, scalability, and efficiency. Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contributing to the establishment of best practices and standards for generative AI development within the organization. Providing technical mentorship and guidance to junior team members. Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines Implement monitoring and logging tools to ensure AI model performance and reliability Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. Key Qualification & Experiences Minimum 5 years of experience in Data Science and Machine Learning In-depth knowledge of machine learning, deep learning, and generative AI techniques Knowledge and experience in Generative AI Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models Familiarity with computer vision techniques for image recognition, object detection, or image generation Experience with cloud platforms such as Azure or AWS Expertise in data engineering, including data curation, cleaning, and preprocessing Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels Track record of driving innovation and staying updated with the latest AI research and advancements You have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Master degree is preferred. You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. You have strong knowledge of data structures, algorithms, and software engineering principles. You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. You have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. You are familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. You have knowledge of software development methodologies, such as Agile or Scrum. You possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. You have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. McCain Foods is an equal opportunity employer. We see value in ensuring we have a diverse, antiracist, inclusive, merit-based, and equitable workplace. As a global family-owned company we are proud to reflect the diverse communities around the world in which we live and work. We recognize that diversity drives our creativity, resilience, and success and makes our business stronger. McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to meet your needs. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with the Global Employee Privacy Policy Job Family: Information Technology Division: Global Digital Technology Department: Cloud and Data Centre Location(s): IN - India : Haryana : Gurgaon Company: McCain Foods(India) P Ltd

Company Description MXICODERS INC is a company where innovation meets opportunity. Our mission is to empower businesses with cutting-edge digital capabilities, enabling growth in a rapidly evolving technological landscape. We specialize in transforming complexity into opportunity, fostering a culture of innovation and adaptability. Join us on this journey to redefine industry standards and turn visionary ideas into reality. Connect with us on LinkedIn to be a part of our community shaping the future. Role Description Data Engineer / AI/ML Minimum Requirements Essential Technical Skills AI/ML (Required) 2+ years hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) Production deployment of at least one AI system that's currently running in production LLM framework experience with LangChain, CrewAI, or AutoGen (any one is sufficient) Function calling/tool use - ability to build AI systems that can call external APIs and functions Basic prompt engineering - understanding of techniques like Chain-of-Thought and ReAct patterns Python Development (Required) 3+ years Python development with strong fundamentals API development using Flask or FastAPI with proper error handling Async programming - understanding of async/await patterns for concurrent operations Database integration - working with PostgreSQL, MySQL, or similar relational databases JSON/REST APIs - consuming and building REST services Production Systems (Required) 2+ years building production software that serves real users Error handling and logging - building robust systems that handle failures gracefully Basic cloud deployment - experience with AWS, Azure, or GCP (any one platform) Git/version control - collaborative development using Git workflows Testing fundamentals - unit testing and integration testing practices Business Process (Basic Required) User requirements - ability to translate business needs into technical solutions Data quality - recognizing and handling dirty/inconsistent data Exception handling - designing workflows for edge cases and errors Professional Experience (Minimum) Software Engineering 3+ years total software development experience 1+ production AI project - any AI/ML system deployed to production (even simple ones) Cross-functional collaboration - worked with non-technical stakeholders Problem-solving - demonstrated ability to debug and resolve complex technical issues Communication & Collaboration Technical documentation - ability to write clear technical docs and code comments Stakeholder communication - explain technical concepts to business users Independent work - ability to work autonomously with minimal supervision Learning agility - quickly pick up new technologies and frameworks Educational Background (Any One) Formal Education Bachelor's degree in Computer Science, Engineering, or related technical field OR equivalent experience - demonstrable technical skills through projects/work Alternative Paths Coding bootcamp + 2+ years professional development experience Self-taught with strong portfolio of production projects Technical certifications (AWS, Google Cloud, etc.) + relevant experience [nice to have] Demonstrable Skills (Portfolio Requirements) Must Show Evidence Of One working AI application - GitHub repo or live demo of LLM integration Python projects - code samples showing API development and data processing Production deployment - any application currently running and serving users Problem-solving ability - examples of debugging complex issues or optimizing performance Nice to Have (Not Required) Financial services or fintech experience Vector databases (Pinecone, Weaviate) experience Docker/containerization knowledge Advanced ML/AI education or certifications Qualifications Strong understanding of Machine Learning, Deep Learning, and Natural Language Processing techniques Experience with programming languages such as Python, R, or similar languages Proficiency in frameworks like TensorFlow, PyTorch, or Keras Data preprocessing and analysis skills Strong problem-solving skills and ability to work in a collaborative environment Excellent written and verbal communication skills Experience in blockchain technology and applications is a plus Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field

Area(s) of responsibility About Birlasoft Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. About the Job - The Technical Lead will focus on the development, implementation, and engineering of GenAI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Technical Lead will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions Job Title - Developer- Gen AI Application Development Location: Pune/Hyderabad Educational Background: Bachelor’s degree in computer science, Information Technology, or related field. Mode of Work- Hybrid Experience Required - 6+ years relevant Job Description Key Responsibilities: Coding and Development: Write clean, using Lang chain/Lang graph and Auto Gen frameworks efficiently, and maintainable code for GenAI applications using Python and open-source frameworks. Fine-Tuning Models: Fine-tune LLMs and SLMs using techniques like PEFT, LoRA, and QLoRA for specific use cases. Open-Source Frameworks: Work with frameworks like Hugging Face, LangChain, and others to build GenAI solutions. Azure AI Expertise: Design and deploy scalable AI solutions leveraging a comprehensive suite of Azure AI services. Integration and Deployment: Integrate generative AI models into existing enterprise systems and applications. Implement robust MLOps practices, CI/CD pipelines (e.g., Azure DevOps, GitHub, Jenkins), and containerization (Docker, Kubernetes) for seamless deployment. Knowledge of AWS would be an added advantage. Data Preprocessing: Build and maintain data preprocessing pipelines for training and fine-tuning models. API Integration: Integrate REST, SOAP, and other APIs for data ingestion, processing, and output delivery. Model Evaluation: Evaluate model performance using metrics and benchmarks and iterate to improve results. Prototyping: Quickly prototype and demonstrate GenAI applications to showcase capabilities and gather feedback. Front-End Development: Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces using tools like Streamlit or React. Version Control: Use Git and other version control systems to manage code and collaborate with team members. Technical Documentation: Create clear and concise documentation for code, models, and processes. Collaboration: Work closely with data scientists, engineers, and product managers to deliver high-impact solutions. Learning and Growth: Continuously learn and stay updated with the latest advancements in GenAI, open-source tools, and cloud technologies. Debugging and Optimization: Identify and fix bugs, optimize code, and improve application performance. Long Description Required Skills Python Programming: Strong proficiency in CORE Python OOP for developing GenAI applications. Fine-Tuning Techniques: Hands-on experience with fine-tuning methods like PEFT, LoRA, and QLoRA. Open-Source Frameworks: Expertise in Hugging Face, LangChain, LlamaIndex, and other open-source libraries. Cloud Platforms: Familiarity with Azure, GCP, and AWS for deploying and managing GenAI models. Data Preprocessing: Skills in building and maintaining data preprocessing pipelines. API Integration: Experience with REST, SOAP, and other protocols for API integration. Model Evaluation: Knowledge of metrics and benchmarks for evaluating model performance. Front-End Tools: Basic knowledge of front-end tools like Streamlit, React, or JavaScript for UI integration. Version Control: Proficiency in Git and Version Control best practices. Technical Documentation: Ability to create clear and concise technical documentation. Problem-Solving: Strong analytical and problem-solving skills to debug and optimize code. Collaboration: Excellent teamwork and communication skills to work effectively in cross-functional teams. Rapid Prototyping: Ability to quickly prototype and demonstrate GenAI applications. Continuous Learning: A growth mindset with a passion for learning and staying updated with the latest GenAI trends and technologies. Good To Have Document Intelligence: Proficiency in OCR and document intelligence using open-source and cloud tools.

Job Overview: We are looking for an experienced and enthusiastic Python Developer with a strong background in Artificial Intelligence (AI) and Machine Learning (ML) to join our growing team. The ideal candidate will be responsible for developing, deploying, and optimizing intelligent applications and solutions using Python and ML frameworks. Key Responsibilities: Design and develop scalable Python applications involving AI/ML capabilities. Build and deploy machine learning models for classification, prediction, clustering, NLP, etc. Work closely with data scientists and product teams to integrate ML models into production systems. Optimize algorithms for performance and scalability. Maintain and improve existing ML pipelines and data workflows. Write clean, reusable, and well-documented code. Conduct code reviews and provide mentorship to junior developers Requirements Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 3-5 years of hands-on experience in Python programming. Strong understanding of AI/ML concepts and applications. Proficient in libraries and frameworks like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch. Experience with data preprocessing, feature engineering, model training, and evaluation. Knowledge of REST APIs, Flask or FastAPI for model deployment. Familiarity with cloud platforms (AWS/GCP/Azure) and ML Ops tools is a plus. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Good to Have: Experience with Natural Language Processing (NLP). Exposure to deep learning and computer vision projects. Knowledge of containerization tools like Docker and orchestration with Kubernetes. Why Join Us: Opportunity to work on real-world AI/ML projects. Collaborative and innovative work environment. Flexible work culture. Learning and development opportunities Benefits Private Health Insurance Hybrid Work Mode Performance Bonus Paid Time Off

About Jivi Jivi is transforming primary healthcare with an AI-powered clinical agentic platform designed for 8 billion people. Our flagship product, a super health app, combines an AI doctor and longevity coach. It provides a full-stack solution covering sickness, prevention, and wellness. In just six months, 500,000 users from 170+ countries have already used Jivi. The company was founded by Ankur Jain (BharatPe, WalmartLabs, Stanford), GV Sanjay Reddy (Reddy Ventures, Aragen), and Andrew Ng's AI Fund (Coursera, DeepLearning). Together, they bring deep expertise in AI, medicine, and scaling billion-dollar ventures. Jivi is powered by groundbreaking research in Large Language Models (LLMs). Our MedX model is ranked #1 globally, surpassing OpenAI and Google Gemini in diagnostic accuracy. Additionally, our AudioX model boasts the lowest word error rate for Indic languages. Jivi’s health knowledge base, one of the largest in the world, plays a key role in training these models. In the spirit of fostering innovation, we’ve open-sourced these models on Hugging Face for the AI community. Jivi has been recognized for its innovation with awards such as the NASSCOM’s Digital Adoption Pioneer Award and the IndiaAI Mission Award. We are proud to be a global leader in AI healthcare. Job Overview As the Director of Data Science and AI, you will spearhead the development of advanced AI solutions, manage a multidisciplinary team of AI engineers and data scientists, and oversee the implementation of machine learning and large language model (LLM) initiatives. You will play a strategic role in shaping our AI roadmap, ensuring the delivery of high-impact models that improve outcomes and operational efficiency of the product. Key Responsibilities AI/ML Product Development: Oversee the design, development, and deployment of machine learning, deep learning, and large language models (LLMs), including multimodal AI systems. Team Management: Build, mentor, and lead a high-performing team of data scientists, AI researchers, and ML engineers. Foster a culture of innovation and technical excellence. R&D and Innovation: Drive applied research in areas like medical imaging, predictive analytics, and clinical decision support. Guide exploration of novel algorithms and AI approaches. Data Strategy & Governance: Ensure best practices in data preprocessing, cleaning, and analysis. Collaborate with data engineering for robust pipelines and scalable infrastructure. Model Evaluation & Ethics: Champion rigorous model validation, monitoring, and explainability. Ensure ethical AI practices, especially in sensitive healthcare applications. Thought Leadership: Stay abreast of AI/ML advancements and represent the company in conferences, publications, and key industry forums. Technical Skills Programming Skills: Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Familiarity with TensorRT and NVIDIA Triton Server is a plus. Model Expertise: Deep experience with Convolutional Neural Networks (CNNs), diffusion models, transformers, as well as segmentation, object detection, and classification models, including CLIP or similar models. Multimodal Proficiency: Strong knowledge and experience with large language models (LLMs) and multimodal AI approaches. Algorithmic Understanding: Comprehensive understanding of a wide array of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning techniques. Experience & Qualifications 8+ years of experience in data science, AI/ML, or applied research, with 3+ years in a leadership or managerial role. Proven track record of deploying AI models into production, preferably in healthcare, medical imaging, or life sciences. Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or a related field. PhD preferred. Why Work with Jivi? Make a Global Impact: Shape AI-driven healthcare solutions that transform billions of lives and revolutionize global wellness. Accelerate Your Career: Enjoy competitive salaries, growth opportunities, and the chance to take on leadership roles as Jivi scales. Lead in a High-Growth Environment: Own key initiatives, influence company strategy, and drive impactful health projects in a dynamic, fast-paced setting. Collaborate with the Best: Work alongside top professionals in AI and healthcare, learn from experts, and contribute to breakthrough innovations. Jivi’s Products: Jivi is available as a mobile app or as an AI assistant on WhatsApp. Job Type: Full-time Work Location: In person Application Deadline: 30/08/2025

We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of advanced AI systems. You will work on cutting-edge machine learning models, natural language processing, computer vision, and AI infrastructure to solve real-world problems and drive innovation across our products and services. Key Responsibilities: Design, develop, and deploy scalable AI/ML models for production environments. Lead end-to-end AI project lifecycles from data collection and preprocessing to model training, evaluation, and deployment. Collaborate with cross-functional teams including data scientists, software engineers, and product managers. Optimize model performance and ensure robustness, fairness, and explainability. Stay current with the latest research and advancements in AI and machine learning. Mentor junior engineers and contribute to building a strong AI engineering culture. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred). 5+ years of experience in AI/ML engineering with a strong portfolio of deployed models. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Experience with cloud platforms (AWS, Azure) and MLOps tools. Strong understanding of data structures, algorithms, and software engineering principles. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with LLMs, RAG, or agentic AI (Crew AI) systems. Familiarity with vector databases, prompt engineering, and AI safety practices. Contributions to open-source AI projects or published research papers. Experience with real-time inference systems and edge AI.

Job Purpose Report to the Director Data Analytics and collaborate with the team to produce insights, perform exploratory data analysis for leadership requests and maintain data visualization tools delivering people and business metrics. Design and develop compelling dashboards using advanced analytics, interactive dashboard design, and data storytelling techniques. Deliver operational talent reports with data-driven narratives. Engage with People team and business stakeholders to gather requirements and support scheduled/ad hoc reporting. Develop, implement, and maintain dashboards and reports for key stakeholders (e.g., Executive Leadership, HR leaders, Business Partners). Innovate to automate and streamline processes. Responsible for data cleansing, validation, testing, and large-scale data analysis. Handle sensitive human capital data with discretion and sound judgment. Collaborate with project teams to ensure correct identification of data impacted by changes. Education: Bachelor’s degree in engineering, Computer Science, Mathematics, or related technical field. Experience: 8+yrs of total experience with atleast 5yrs of relevant Experience in analytics roles working with large datasets. Self-motivated, curious, independent, and eager to learn. Technical Skills: Analytics data modelling, storytelling, and visualization using tableau, Power BI, SQL, other advanced analytical tools Exposure to R, Python is an added advantage. Experience in Workday reporting, Viva GLINT, Visier, HR data systems. Preprocessing structured/unstructured data. Advanced MS Excel, PowerPivot, Power BI, Power Platform, DAX. Other Requirements: Ability to work in virtual teams across time zones. Broad understanding of HR processes and metrics (e.g., Workforce Metrics, Recruitment, Compensation, Talent Management). People management experience (a plus). Knowledge of ERP, HR systems, and Business Intelligence tools. Ability to handle stress and prioritize effectively with management support.

About the Role: We are looking for a skilled and passionate Python Developer with hands-on experience in AI/ML project development to join our growing technology team in Jaipur . You will be working on real-world AI solutions, contributing to end-to-end model development, and integrating intelligent systems into production-level applications. Key Responsibilities: Develop and maintain high-quality, scalable Python code Design, train, and deploy AI/ML models to solve business challenges Work with data scientists to implement algorithms and integrate ML models Optimize model performance and manage deployment pipelines Collaborate with cross-functional teams (Product, Design, DevOps) Ensure clean architecture, proper documentation, and version control Keep up-to-date with the latest developments in AI/ML and Python ecosystem Key Requirements: 3+ years of professional Python development experience Proven experience in AI/ML model development (scikit-learn, TensorFlow, PyTorch, etc.) Strong understanding of data structures, algorithms, and model evaluation techniques Experience with REST APIs, version control (Git), and cloud environments (preferably AWS) Familiarity with data preprocessing, feature engineering, and model lifecycle Solid problem-solving skills and a detail-oriented mindset Nice to Have: Exposure to MLOps practices Experience in Flask or FastAPI Knowledge of Docker/Kubernetes Why Join Us? Work on impactful AI projects that solve real business problems Opportunity to grow in a tech-first and collaborative environment Competitive salary and performance-driven culture A vibrant, on-site work culture in Jaipur Ready to build smart solutions with us? Job Type: Full-time Pay: ₹11,318.49 - ₹72,937.99 per month Experience: Python: 3 years (Required) Location: Jaipur, Rajasthan (Required) Work Location: In person

Location - Noida, Sector 125 Key Responsibilities- Assist in developing and fine-tuning computer vision models using Python and deep learning frameworks. Work on object detection, pose estimation, and image segmentation using tools like YOLO, U-Net, and MediaPipe . Explore CNNs, GCNs , and similar architectures for visual data understanding. Apply preprocessing techniques using OpenCV and image augmentation pipelines. Help integrate vision models with APIs, front-end applications, or workflow tools. Design, build, and optimize automation workflows using n8n for internal tools or model pipelines. Perform model evaluation, testing, and optimization for performance and accuracy. Document the development process and contribute to knowledge sharing across the team. Requirements- Strong programming skills in Python Sound understanding of Convolutional Neural Networks (CNNs) and core deep learning concepts Experience or academic exposure to at least 1–2 models like YOLO, U-Net, GCN, or ResNet Familiarity with MediaPipe , OpenCV , and image/video processing workflows Hands-on experience with TensorFlow or PyTorch Working knowledge of NumPy , pandas , matplotlib for data handling and visualization 1–2 years of practical experience with N8N or any workflow automation tool (e.g., Zapier, Make/Integromat) Strong debugging and problem-solving skills Ability to work independently and collaborate effectively with the team

Location: Hyderabad Work Mode: Hybrid (2–3 days on-site/week) Experience Required: Minimum 3+ Years Salary Range: ₹6 – ₹10 LPA (based on experience and skill set) Disclaimer – Please Read Before You Apply We are not accepting applications from freshers or freelance-only profiles . This role requires prior corporate experience (minimum 2 years) with a clear understanding of how to automate contact extraction workflows using Python and NLP. This role goes beyond writing Python scripts—it’s about applying NLP (Natural Language Processing) in real-world scenarios where data isn’t clean or structured. We are looking for someone who can extract contact information like names, emails, phone numbers, and company details from documents such as PDFs, resumes, scanned images, and emails —even when the formats vary or the layout is messy. You should be able to: Understand the structure and flow of unstructured text Apply NLP concepts to locate and extract relevant contact details Build logic to automate this extraction across different document types Think critically and creatively to handle inconsistent data inputs You don’t need to rely on pre-built solutions—we value your ability to reason through the problem and implement your own approach . If you're passionate about NLP and love solving messy data problems, we encourage you to apply. To ensure you've read this section thoroughly, we’ve included a small check in the application process. The keyword is the number 7 — you’ll be asked for it at the end of the form. About the Role A leading AI-focused organization is looking for a Junior Python Developer with strong experience in machine learning and natural language processing. This is a great opportunity to work closely with senior engineers on cutting-edge AI initiatives that involve building, training, and deploying intelligent models at scale. Key Responsibilities Develop and optimize Python scripts for data preprocessing, training, and evaluating NLP/ML models. Contribute to ML pipeline development using Scikit-learn, TensorFlow, or PyTorch. Deploy ML models via REST APIs using Flask or FastAPI. Handle data in various formats such as JSON, CSV, and PDF using spaCy, PyMuPDF, or regex-based logic. Participate in testing, debugging, and validation of machine learning workflows. Maintain documentation on code, model performance, and technical decisions. Stay updated with tools like Hugging Face, LangChain, and MLflow. Mandatory Skills Minimum 3 years of hands-on Python development experience. Proficient in Python libraries such as NumPy, Pandas, and Matplotlib. Experience with NLP tasks using tools like spaCy or regex for rule-based NER. Understanding of core ML algorithms: classification, regression, clustering. Familiar with ML frameworks: Scikit-learn, TensorFlow, or PyTorch. Experience developing and consuming REST APIs. Proficient with Git and collaborative version control. Nice to Have Experience with Hugging Face Transformers or LangChain. Familiarity with MLflow or similar model lifecycle tools. Exposure to OCR or intelligent document processing projects. How to Apply Please send your updated resume to komal.bansal@zetamicron.com Shortlisted candidates will be contacted for further discussions.

Role Overview: As a Senior AI/ML Engineer, you will lead the design, development, and deployment of advanced machine learning models and AI solutions. Your expertise will drive innovation across various applications, from natural language processing (NLP) to deep learning and recommendation systems. You will collaborate with cross-functional teams to integrate AI capabilities into products and services, ensuring scalability, efficiency, and ethical standards. Key Responsibilities: Model Development & Deployment: Lead the end-to-end lifecycle of machine learning models, including data collection, preprocessing, model selection, training, evaluation, and deployment. Implement deep learning architectures (e.g., CNNs, RNNs, Transformers) and NLP models to solve complex problems. Optimize models for performance, scalability, and real-time inference. Collaboration & Leadership: Mentor and guide junior engineers and data scientists, fostering a culture of continuous learning and innovation. Collaborate with product managers, software engineers, and data engineers to align AI solutions with business objectives. Communicate complex technical concepts to both technical and non-technical stakeholders. Research & Innovation: Stay abreast of the latest advancements in AI/ML research and industry trends. Evaluate and integrate emerging technologies and methodologies to enhance model performance and capabilities. Contribute to the development of AI strategies and roadmaps. Ethics & Compliance: Ensure AI solutions adhere to ethical guidelines, data privacy regulations, and organizational standards. Implement fairness, accountability, and transparency in AI models to mitigate bias and ensure equitable outcomes. Technical Skills & Qualifications: Programming Languages: Proficiency in Python, with experience in libraries such as NumPy, Pandas, and Scikit-learn. Familiarity with other languages like Java, Scala, or C++ is a plus. Machine Learning Frameworks: Expertise in frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn. Experience with MLOps tools and practices for model versioning, deployment, and monitoring. Data Engineering: Strong understanding of data pipelines, ETL processes, and working with large-scale datasets. Experience with SQL and NoSQL databases, as well as cloud platforms like AWS, GCP, or Azure. Soft Skills: Excellent problem-solving abilities and analytical thinking. Strong communication and interpersonal skills. Ability to work effectively in a collaborative, fast-paced environment. Educational Background: Bachelor's or master's degree in computer science, data science, machine learning, or a related field. Ph.D. is advantageous but not required. Preferred Experience: 8+ years in AI/ML engineering or related roles, with a proven track record of deploying production-grade models. Experience in specific domains such as healthcare, finance, or e-commerce is a plus. Why Join Us: Opportunity to work on cutting-edge AI projects with a talented team. Collaborative and inclusive work culture. Competitive compensation and benefits package. Continuous learning and professional development opportunities.

Introduction A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions. Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career. We are seeking a skilled software developer to join our IBM Software team. As part of our team, you will be responsible for developing and maintaining high-quality software products, working with a variety of technologies and programming languages. IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. Your Role And Responsibilities AI Development and Implementation: Design, develop, and deploy cutting-edge AI solutions using GenAI technologies. Implement and optimize Large Language Models (LLMs) for texts, image and other data. Leverage Retrieval-Augmented Generation (RAG) techniques to enhance AI-driven insights and decision-making. Enterprise Software Integration: Integrate AI models with Enterprise Software to build high-quality AI use-cases. Develop custom AI algorithms and AI Agents. Solution Optimization and Integration: Fine-tune NLP models to align with domain-specific needs and improve accuracy. Collaborate with cross-functional teams to integrate AI solutions into enterprise workflows. Mentorship and Leadership: Mentor junior developers on AI best practices, tools, and frameworks. Lead brainstorming sessions to explore innovative AI applications and solutions. Research and Innovation: Stay updated with the latest advancements in AI, GenAI, LLMs, and RAG to continuously enhance systems. Conduct proof-of-concept projects to evaluate emerging technologies for business use cases. Preferred Education Master's Degree Required Technical And Professional Expertise 5+ years of experience. Programming Expertise Proficient in Python with demonstrated experience in AI and ML development. Knowledge of vector database. AI Agents, GenAI and LLMs: Strong expertise in GenAI concepts, including the design, deployment, and optimization of Large Language Models (LLMs) and design AI Agents. NLP Skills: Advanced knowledge of NLP techniques for text analysis, summarization, and contextual understanding. RAG Expertise: Hands-on experience with Retrieval-Augmented Generation (RAG) to enhance knowledge retrieval systems. Tools and Frameworks: Proficiency with AI frameworks like TensorFlow, PyTorch, Hugging Face, or similar. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying AI solutions. Preferred Technical And Professional Experience DevOps and MLOps: Knowledge of deploying AI models in production environments using MLOps best practices. Data Engineering: Familiarity with data preparation, preprocessing pipelines, and working with unstructured datasets. Agile Methodologies: Experience working in Agile development environments for iterative delivery. Soft Skills: Strong problem-solving skills, attention to detail, and ability to communicate complex concepts to technical and non-technical stakeholders.

Azure AI Architect Experience: 10+ Years Location: Remote General Summary We are seeking an experienced and innovative Azure AI Architect to lead the design and implementation of advanced AI solutions tailored to the MedTech and medical device industry. As an Azure AI Architect, you will develop scalable and compliant AI systems that improve patient outcomes, enhance diagnostics, and support operational excellence. This role will collaborate across multidisciplinary teams to ensure AI solutions align with clinical, regulatory, and technical requirements. Specific Duties and Responsibilities Design end-to-end AI/ML solutions using Microsoft Azure to support clinical decision-making, diagnostics, and patient monitoring. Collaborate with clinical teams, data scientists, and engineers to translate healthcare challenges into scalable AI architectures. Ensure AI models comply with FDA and HIPAA requirements and integrate seamlessly into medical devices and software systems. Deploy, monitor, and maintain AI solutions on Azure with a focus on security, scalability, and reliability. Support data acquisition and preprocessing strategies in alignment with medical data standards (e.g., HL7, FHIR, DICOM). Drive innovation by leveraging Azure Cognitive Services, Azure Machine Learning, and other Azure-native AI tools. Work closely with regulatory and compliance teams to ensure all AI implementations meet industry standards. Provide training and guidance to internal stakeholders on AI capabilities and best practices. Position Qualifications Minimum education and experience:  Bachelor's or master's degree in computer science, Data Science, or a related field. Prior work experience or internships in data science, data analysis, or a related area is a plus. Bachelor’s or Master’s degree in Computer Science, Biomedical Engineering, Data Science, or related field. 5+ years of experience in AI/ML architecture with at least 2 years in the healthcare or MedTech sector. Expertise in Microsoft Azure AI services, including Azure Machine Learning and Cognitive Services. Familiarity with medical data privacy and security standards (e.g., HIPAA, GDPR). Proficiency in Python, R, and Azure SDKs with hands-on experience in deploying production AI models. Understanding of AI/ML frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong communication skills and ability to collaborate across clinical and technical domains. Hands-on experience with Generative AI (GenAI) tools. Experience with Azure AI Studio, including configuring resources, deploying models, and fine-tuning. Proactive approach to learning and applying new techniques and tools in real-world projects. Strong critical thinking, problem-solving mindset, and analytical skills

Greetings from “HCL Software” Is a Product Development Division of HCL Tech!! HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. About Unica Product: - The HCL Unica+ Marketing Platform enables our customers to deliver precision and high-performance Marketing campaigns across multiple channels like social media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. Note: Are you available for a F2F Interview on 2nd August (Saturday) _ Hinjewadi, Pune. We are Seeking a Sr. & Lead Python Developer (Data Science, AI/ML) with +6 Yrs of Strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Qualifications & Skills: - At least 6-12 years. of Python Development Experience with at least 4 years in data science and machine learning. Experience with Customer Data Platforms (CDP) like Treasure Data, Epsilon, Tealium, Adobe, Salesforce is advantageous. Experience with AWS SageMaker is advantegous Experience with Lang Chain, RAG for Generative AI is advantageous. Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways Knowledge of REST, JSON, XML, SOAP is a must Ability to work well within an agile team environment and applying the related working methods. Excellent communication & interpersonal skills A 4-year degree in Computer Science or IT is a must. Responsibilities: - Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. Machine Learning Algorithms:In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. Deployment & MLOps Concepts: Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Travel: 30% +/- travel required Location: India (Pune preferred) Compensation: Base salary, plus bonus.

Qualification Job Overview: We are seeking a highly skilled AI/ML Architect with a strong foundation in Data Engineering and a proven ability to apply Design Thinking in solving complex business challenges. The ideal candidate will play a key role in shaping end-to-end AI/ML solutions—from data architecture to model deployment—while ensuring the design remains user-centric, scalable, and aligned with business objectives. Key Responsibilities: Lead the architecture and design of AI/ML solutions across multiple business domains. Collaborate with stakeholders to identify use cases and translate them into scalable, production-ready ML architectures. Leverage design thinking methodologies to drive innovative and user-centric solution design. Architect data pipelines and feature engineering processes for structured and unstructured data. Oversee the full ML lifecycle including data preprocessing, model training, evaluation, deployment, and monitoring. Ensure best practices in MLOps, including CI/CD for ML, model governance, and retraining strategies. Collaborate with data scientists, engineers, and product teams to align architecture with business goals. Mentor and guide engineering and data science teams on solution design, performance optimization, and system integration. Role Key Responsibilities: Lead the architecture and design of AI/ML solutions across multiple business domains. Collaborate with stakeholders to identify use cases and translate them into scalable, production-ready ML architectures. Leverage design thinking methodologies to drive innovative and user-centric solution design. Architect data pipelines and feature engineering processes for structured and unstructured data. Oversee the full ML lifecycle including data preprocessing, model training, evaluation, deployment, and monitoring. Ensure best practices in MLOps, including CI/CD for ML, model governance, and retraining strategies. Collaborate with data scientists, engineers, and product teams to align architecture with business goals. Mentor and guide engineering and data science teams on solution design, performance optimization, and system integration. Experience 10 to 15 years Job Reference Number 13029