1973 Preprocessing Jobs - Page 34

Job Title: Senior Data Scientist Experience: 7+ Years Location: Mumbai Contract Duration: Long Term Work Time: IST Shift Job Description We are seeking a skilled Data Scientist with strong expertise in Python and machine learning to build scalable solutions and predictive models. The ideal candidate will have experience in data preprocessing, visualization, microservices, and modern AI frameworks. The role involves working closely with cross-functional teams to solve complex business challenges. Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large volumes of data to discover trends and patterns Build predictive models and machine-learning algorithms Combine models using ensemble techniques Present data insights using visualization tools and techniques Propose solutions and strategies for business challenges Collaborate with engineering and product development teams Qualification, Skills & Experience: Strong hands-on experience in advanced Python programming Experience in scalable microservice architecture and development Solid understanding of API development, messaging queues, and asynchronous task management Basic DevOps skills and experience with Docker Familiarity with AI agent frameworks such as LangChain, LangGraph, AutoGen, or CrewAI is highly desirable Ability to work in a small distributed team Quick learner with the ability to adapt to new Python frameworks

Company Description Triple I is a leading provider of AI-powered tools for ESG reporting automation. The company offers solutions that handle the entire ESG process, from real-time data integration to audit-ready reports aligned with industry regulations. Trusted by teams across various industries, Triple I simplifies ESG reporting to help enterprises move faster, stay compliant, and reduce workloads. Role Description We’re looking for a skilled AI Engineer to build a powerful AI-driven system that can analyze, transform, and standardize raw datasets into a predefined destination schema — with full language normalization, schema mapping, and intelligent data validation. This role is perfect for someone with deep expertise in data pipelines, NLP, and intelligent schema inference who thrives on creating scalable, adaptable solutions that go far beyond hardcoded logic. What You’ll Be Doing Develop a generalizable AI algorithm that transforms raw, unstructured (or semi-structured) source datasets into a standardized schema Automate schema mapping, data enrichment, PK/FK handling, language translation, and duplicate detection Build logic to flag unresolved data, generate an UnresolvedData_Report, and explain confidence or failure reasons Ensure all outputs are generated in English only, regardless of input language Experiment with 2–3 AI/ML approaches (e.g. NLP models, rule-based logic, transformers, clustering) and document tradeoffs Deliver all outputs (destination tables) in clean, validated formats (CSV/XLSX) Maintain detailed documentation of preprocessing, validation, and accuracy logic Key Responsibilities Design AI logic to dynamically extract, map, and organize data into 10+ destination tables Handle primary key/foreign key relationships across interconnected tables Apply GHG Protocol logic to assign Scope 1, 2, or 3 emissions automatically based on activity type Build multilingual support: auto-translate non-English input and ensure destination is 100% English Handle duplicate and conflicting records with intelligent merging or flagging logic Generate automated validation logs for transparency and edge case handling

Job Title: Data Science Intern Company: RSL Solution Pvt. Ltd. Location: Akurdi, Pune Job Type: Full-Time | Internship About Us:RSL Solution Pvt. Ltd. is a dynamic and growing organization committed to delivering innovative IT solutions and services. We are looking for a passionate and enthusiastic Data Science Intern to join our team and work on real-world projects that drive business insights and decision-making. Key Responsibilities:Assist in collecting, cleaning, and preprocessing structured and unstructured data. Perform exploratory data analysis (EDA) and visualize key trends and patterns. Work on predictive modeling, machine learning, and statistical analysis under guidance. Support the development and deployment of data-driven solutions. Collaborate with the technical team on ongoing projects and contribute to analytical problem-solving. Document findings, code, and methodologies in a clear and organized manner. Stay updated with the latest trends and tools in data science and analytics. Requirements:Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Engineering, or a related field. Good understanding of data analysis, statistics, and machine learning concepts. Proficiency in Python (NumPy, pandas, scikit-learn, Matplotlib, etc.). Familiarity with SQL and working knowledge of databases. Experience with data visualization tools (Tableau, Power BI, or Matplotlib/Seaborn) is a plus. Strong problem-solving skills and attention to detail. Good communication and teamwork skills. What You’ll Gain:Hands-on experience with real-world data science projects. Exposure to full data lifecycle – from raw data to actionable insights. Opportunity to learn from experienced professionals in a collaborative environment. Possibility of a pre-placement offer (PPO) based on performance.

Responsibilities As a Data Science (ML and AI) Intern, you won't be working on side projects; you'll be tackling real problems, influencing product direction, and working alongside a team that believes in asking why, not just how. Assist in developing and improving credit and fraud risk models using machine learning, deep learning, and rules-based approaches under the guidance of senior data scientists. Support the analysis of alternative data sources (e. g., mobile device data, bank statements) to enhance risk assessment and decision-making models. Help build and evaluate models related to customer behavior, including personalization, recommendations, referrals, and transaction categorization. Learn and contribute to the end-to-end machine learning pipeline from data collection and preprocessing to model development and basic production deployment. Participate in monitoring and evaluating the performance of models in production, learning how to identify issues and suggest improvements. Assist in data gathering, cleaning, and exploratory data analysis to support various data science projects and business initiatives. Engage with business and technical stakeholders to understand their data needs and help identify potential data-driven solutions. Notable Achievements Achieved the lowest fraud rate in LATEM markets by leveraging the very high capabilities of our multiple fraud detection models with real-time inferencing. Alternative data lending - built capabilities to extend credits to the underbanked segment in Mexico markets, fostering financial inclusion and financial freedom for everyone. Advanced reinforcement learning models and deep learning models to achieve hyper-personalisation for credit limit changes. Incorporated the Dynamic Risk-Based Pricing model to optimize the customer conversion rate. Developed a recommendation engine to personalize all communication to the end user. Requirements Proficient in Python programming, with a focus on coding for machine learning and deep learning applications. Strong in data analysis and data wrangling. Follow industry best practices and stay up to date with the latest machine learning/ GenAI algorithms and techniques to drive innovation. Knowledge of deep learning concepts like CNN, RNN, tokenization, transformers, and various NLP techniques. Bachelor's or Master's degree in Computer Science, Information Management, Statistics, or related field. Soft Skills Highly curious and passionate about problem-solving, with a strong drive to uncover insights and optimize solutions. Exceptionally detail-oriented, capable of working both independently and collaboratively in a fast-paced environment. Excellent communication skills, with the ability to translate complex concepts into clear, actionable insights for both technical and non-technical stakeholders. Energetic and proactive, with a strong learning aptitude and the audacity to take on challenges beyond their comfort zone. Not afraid to go above and beyond, demonstrating initiative and ownership in tackling tough problems. Nice To Have Publications or presentations in recognized Machine Learning and Data Science journals/conferences. Experience with cloud services (like AWS or Google Cloud) and understanding of distributed systems. Exposure to GenAI models. Languages: Spanish, English (Level: advanced). This job was posted by Ankur Pal from Aplazo.

You'll be hands-on in all aspects of ML: from data preprocessing and model development to deployment and optimization. Your work will directly influence our product's capabilities and shape how our marketing-focused solutions evolve. Responsibilities Develop ML Models: Design and implement machine learning models to drive various features and insights within our product. This includes working with large language models (LLMs) and exploring applications of generative AI (GenAI). End-to-End Ownership: Take models from ideation to deployment. This includes data collection, preprocessing, model training, and optimization. Data Science and Analytics: Perform data analysis to understand user behavior and optimize model performance, contributing to the company's data-driven decision-making processes. Cross-functional Collaboration: Collaborate closely with product managers, engineers, and UX designers to deliver impactful solutions that align with product goals. Problem Solving: Identify core engineering problems, explore potential solutions, and apply critical thinking and coding skills to tackle them effectively. Scalable Infrastructure: Work on developing scalable and efficient ML pipelines and frameworks to ensure robustness and quality at scale. Experimentation: Continuously evaluate and experiment with the latest ML/AI techniques, tools, and frameworks to keep our technology at the cutting edge. Requirements Experience: 8+ years of hands-on experience in machine learning, preferably in a SaaS or startup environment. Familiarity with B2B marketing is a plus. Skills: Strong foundation in Python, TensorFlow, PyTorch, or similar ML frameworks. Proficiency with data processing and analysis tools (e. g., Pandas, SQL). GenAI and LLMs: Practical experience with large language models and generative AI, with a keen interest in staying current with advancements in this space. Problem-Solving Mindset: Comfortable with ambiguity and capable of breaking down complex problems into manageable pieces. Software Engineering: Strong coding and debugging skills, with a focus on writing clean, efficient, and reusable code. Experience with cloud platforms (AWS, GCP, or Azure) is a plus. Collaboration and Communication: Ability to work effectively in a team and communicate technical concepts to non-technical stakeholders. Curiosity and Adaptability: Eagerness to learn, experiment, and iterate, with a proactive approach to problem-solving. This job was posted by Bidyut Ganguly from CBX1.

We're looking for a hands-on Computer Vision Engineer who thrives in fast-moving environments and loves building real-world, production-grade AI systems. If you enjoy working with video, visual data, cutting-edge ML models, and solving high-impact problems, we want to talk to you. This role sits at the intersection of deep learning, computer vision, and edge AI, building scalable models and intelligent systems that power our next-generation sports tech platform Responsibilities Design, train, and optimize deep learning models for real-time object detection, tracking, and video understanding. Implement and deploy AI models using frameworks like PyTorch, TensorFlow/Keras, and Transformers. Work with video and image datasets using OpenCV, YOLO, NumPy, Pandas, and visualization tools like Matplotlib. Collaborate with data engineers and edge teams to deploy models on real-time streaming pipelines. Optimize inference performance for edge devices (Jetson, T4 etc. ) and handle video ingestion workflows. Prototype new ideas rapidly, conduct A/B tests, and validate improvements in real-world scenarios. Document processes, communicate findings clearly, and contribute to our growing AI knowledge base. Requirements Strong command of Python and familiarity with C/C++ Experience with one or more deep learning frameworks: PyTorch, TensorFlow, Keras. Solid foundation in YOLO, Transformers, or OpenCV for real-time visual AI. Understanding of data preprocessing, feature engineering, and model evaluation using NumPy, Pandas, etc. Good grasp of computer vision, convolutional neural networks (CNNs), and object detection techniques. Exposure to video streaming workflows (e. g., GStreamer, FFmpeg, RTSP). Ability to write clean, modular, and efficient code. Experience deploying models in production, especially on GPU/edge devices. Interest in reinforcement learning, sports analytics, or real-time systems An undergraduate degree (Master's or PhD preferred) in Computer Science, Artificial Intelligence, or a related discipline is preferred. A strong academic background is a plus. This job was posted by Siddhartha Dutta from Tech At Play.

As a Machine Learning Engineer at Avrio, you will play a crucial role in designing, developing, and deploying scalable machine learning models that drive our product innovation and enhance business outcomes for our clients. You will collaborate closely with the founding team and software engineers, contributing to the full machine learning development lifecycle from ideation and data collection to model training, optimization, and deployment. This is an excellent opportunity to work with cutting-edge technologies and make a significant impact on the technical direction of our AI-driven solutions. Responsibilities Design, develop, and deploy machine learning models to enhance product capabilities. Implement and optimize data pipelines to collect, clean, and preprocess structured and unstructured data. Apply machine learning algorithms and deep learning techniques for various business use cases, such as predictive analytics, recommendation systems, NLP, and computer vision. Leverage Python and ML frameworks (e. g., TensorFlow, PyTorch, Scikit-Learn) to develop scalable and efficient AI solutions. Work with relational (PostgreSQL) and non-relational databases (CouchDB) to store, query, and manage large-scale datasets. Develop and deploy machine learning models using cloud platforms (AWS) and containerization tools (Docker, Kubernetes). Implement MLOps best practices, including CI/CD pipelines for model training, monitoring, and deployment. Collaborate with software developers and data engineers to integrate ML models into production environments. Write and maintain unit tests and integration tests to ensure the quality and reliability of AI systems. Requirements Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience). 1+ years of experience in machine learning, data science, or AI-focused software development. Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc. ). Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and deep learning architectures (CNNs, RNNs, Transformers). Experience in building scalable data pipelines for preprocessing and feature engineering. Strong background in OOP principles and software engineering best practices. Experience with cloud platforms (AWS, GCP, or Azure) and deploying models in production environments. Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD pipelines. Knowledge of RESTful APIs and GraphQL services, with experience in FastAPI being a plus. Strong problem-solving skills and the ability to work independently as well as in a team. This full-time role offers the chance to work on impactful AI-driven projects in a dynamic and growth-focused environment. This job was posted by Harshit Rai from Avrio Energy.

AI/ML & GenAI Expertise 5+ years of experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment Practical experience with LLMs and GenAI tools such as OpenAI APIs, Hugging Face, LangChain, or Transformers Understanding of how to integrate LLMs into applications through prompt engineering, retrieval-augmented generation (RAG), and vector search Comfortable working with unstructured data (text, images) in real-world product environments Bonus: experience with model fine-tuning, evaluation metrics, or vector databases like FAISS, Pinecone, or Weaviate Ownership & Execution Demonstrated ability to take full ownership of features or modules from architecture to delivery Able to work independently in ambiguous situations and drive solutions with minimal guidance Experience collaborating cross-functionally with designers, PMs, and other engineers to deliver user-focused solutions Strong debugging, systems thinking, and decision-making skills with an eye toward scalability and performance Core Engineering Advanced Python skills with a strong grasp of clean, modular, and maintainable code practices Experience building production-ready backend services using frameworks like FastAPI, Flask, or Django Strong understanding of software architecture , including RESTful API design, modularity, testing, and versioning. Experience working with databases (SQL/NoSQL), caching layers, and background job queues. Nice-to-Have Skills Experience in startup or fast-paced product environments. 5+ years of relevant experience. Familiarity with asynchronous programming patterns in Python. Exposure to event-driven architecture and tools such as Kafka, RabbitMQ, or AWS EventBridge Data science exposure: exploratory data analysis (EDA), statistical modeling, or experimentation Built or contributed to agentic systems, ML/AI pipelines, or intelligent automation tools Understanding of MLOps: model deployment, monitoring, drift detection, or retraining pipelines Frontend familiarity (React, Tailwind) for prototyping or contributing to full-stack features

Machine Learning Engineer Experience: 5+ years No. Of Positions: 5 Location : Bangalore (White Field) Budget : 27 LPA Key Skills: Strong experience in ML model development & deployment Hands-on with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras Proficiency in Python, scikit-learn, and ML/DL libraries Expertise in building and optimizing neural networks for real-world applications Solid understanding of data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms (AWS, Azure, GCP) Job Types: Full-time, Permanent Pay: ₹2,080,325.89 - ₹2,519,922.05 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Experience: Cloud development: 5 years (Required) Work Location: In person Expected Start Date: 30/06/2025

Data Science Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Performance-Based) About INLIGHN TECH INLIGHN TECH is a future-driven edtech platform that provides real-world, project-based virtual internships to students and aspiring professionals. The Data Science Internship is designed to help you gain hands-on experience with real datasets, machine learning models, and data-driven solutions for real-world problems. 🚀 Internship Overview As a Data Science Intern , you'll work with structured and unstructured data, explore patterns and trends, and implement predictive models. This internship emphasizes practical exposure to data preprocessing, algorithm development, and result interpretation using tools widely used in the industry. 🔧 Key Responsibilities Collect, clean, and preprocess large datasets for analysis Apply machine learning algorithms to build predictive models Perform exploratory data analysis (EDA) using Python (Pandas, Matplotlib, Seaborn) Use tools like Jupyter Notebook , Scikit-learn , and TensorFlow for modeling Visualize data insights with Power BI, Tableau , or Matplotlib Interpret and communicate results in a meaningful, business-focused way Document workflows, challenges, and outcomes during the project ✅ Qualifications Pursuing or recently completed a degree in Data Science, Computer Science, Statistics , or a related field Proficient in Python , with experience in libraries like Pandas, NumPy, and Scikit-learn Understanding of statistics , data structures , and machine learning concepts Familiarity with SQL and data visualization tools Strong analytical mindset and attention to detail Ability to explain complex ideas in a simple, clear way 🎓 What You’ll Gain Hands-on experience in real-world data science projects A portfolio of machine learning and analytics projects Internship Certificate upon successful completion Letter of Recommendation for high performers Opportunity for a Full-Time Role based on performance Foundation to pursue further roles in data science, AI, and analytics

We are seeking a high-impact AI/ML Engineer to lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities. You'll be part of a fast-paced, outcome-oriented AI & Analytics team, working alongside data scientists, engineers, and product leaders to transform business use cases into real-time, scalable AI systems. This role demands strong technical leadership, a product mindset, and hands-on expertise in Computer Vision, Audio Intelligence, and Deep Learning. Key Responsibilities Architect, develop, and deploy ML models for multimodal problems, including vision (image/video), audio (speech/sound), and NLP tasks. Own the complete ML lifecycle : data ingestion, model development, experimentation, evaluation, deployment, and monitoring. Leverage transfer learning, foundation models, or self-supervised approaches where suitable. Design and implement scalable training pipelines and inference APIs using frameworks like PyTorch or TensorFlow. Collaborate with MLOps, data engineering, and DevOps to productionize models using Docker, Kubernetes, or serverless infrastructure. Continuously monitor model performance and implement retraining workflows to ensure accuracy over time. Stay ahead of the curve on cutting-edge AI research (e.g., generative AI, video understanding, audio embeddings) and incorporate innovations into production systems. Write clean, well-documented, and reusable code to support agile experimentation and long-term platform sustainability. Requirements Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 5-8+ years of experience in AI/ML Engineering, with at least 3 years in applied deep Skills : Languages : Expert in Python; good knowledge of R or Java is a plus. ML/DL Frameworks : Proficient with PyTorch, TensorFlow, Scikit-learn, ONNX. Computer Vision : Image classification, object detection, OCR, segmentation, tracking (YOLO, Detectron2, OpenCV, MediaPipe). Audio AI : Speech recognition (ASR), sound classification, audio embedding models (Wav2Vec2, Whisper, etc.). Data Engineering : Strong with Pandas, NumPy, SQL, and preprocessing pipelines for structured and unstructured data. NLP/LLMs : Working knowledge of Transformers, BERT/LLAMA, Hugging Face ecosystem is preferred. Cloud & MLOps : Experience with AWS/GCP/Azure, MLFlow, SageMaker, Vertex AI, or Azure ML. Deployment & Infrastructure : Experience with Docker, Kubernetes, REST APIs, serverless ML inference. CI/CD & Version Control : Git, DVC, ML pipelines, Jenkins, Airflow, etc. Soft Skills & Competencies Strong analytical and systems thinking; able to break down business problems into ML components. Excellent communication skills able to explain models, results, and decisions to non-technical stakeholders. Proven ability to work cross-functionally with designers, engineers, product managers, and analysts. Demonstrated bias for action, rapid experimentation, and iterative delivery of impact. Benefits Competitive compensation and full-time benefits. Opportunities for certification and professional growth. Flexible work hours and remote work options. Inclusive, innovative, and supportive team culture. (ref:hirist.tech)

Job Description Lead the development of innovative products and solutions using advanced AI/ML techniques, ensuring a competitive user experience. Design and prototype AI/ML services utilizing Python to demonstrate key concepts and functionality. Leverage Data Science and Machine Learning to solve complex organizational problems and create intellectual property that can be productized. Conduct hands-on work across multiple technologies, focusing on data analysis, pattern recognition, machine learning model development, and insight generation. Train algorithms for dedicated systems to reduce operational complexity and improve efficiency. Develop interfaces to project databases, with a focus on MongoDB (Document Data Base) for scalable solutions. Take initiative in driving projects and delivering results, maintaining a highly results-oriented approach. Requirements Extensive experience in research and development, especially in software based solutions and products. Proven experience in implementing strategies, proof-of-concepts (POCs), and commercial topics. Expertise in core software development functions, including architecture, development, and testing. Global experience with international projects and collaboration in diverse, multicultural teams is highly preferred. Minimum 6 years of experience developing software solutions using various programming languages. Strong expertise in Data Engineering, Data Analytics, and building data pipelines. Mastery of Python for AI/ML implementations. Deep understanding of distributed systems, including building and implementing algorithms in such environments. Hands-on experience with data science, machine learning, and developing web applications deployed on cloud platforms using frameworks like Flask or Django. Expertise in working with multiple databases, particularly NoSQL solutions like MongoDB. Solid experience in building REST APIs and microservices architecture. Strong understanding of web server technologies, load balancing, and deployment processes. Advanced knowledge of the software development life cycle (SDLC) and software engineering best practices. Excellent communication and presentation skills, with strong proficiency in English (both written and spoken). Experience with project management tools like Jira and Confluence is an added advantage. Familiarity with Agile/Lean development methodologies, particularly Scrum. Strong customer focus and the ability to quickly adapt and learn in a dynamic environment. Technical Expertise Proficient in machine learning frameworks such as TensorFlow or PyTorch. Familiarity with large language models (LLMs) such as GPT, LLaMA, etc. Expertise in data preprocessing, feature engineering, and model evaluation. Understanding of neural networks and deep learning concepts. Exposure to cloud platforms such as AWS, Azure, or Google Cloud. Ability to learn and apply new technologies in a fast-paced environment. Educational Qualifications Undergraduate: B.Tech/B.E. in Computer Science, Electronics and Communication (EC), or related fields; BCA in Computer Applications. Postgraduate: M.Tech in Computer Science, MCA in Computers, MCM in Computers and Management, MS/M.Sc (Science) in Computer Science (ref:hirist.tech)

Job Description Develop and implement machine learning models to solve business problems, including classification, regression, clustering, and recommendation systems. Build and manage end-to-end data science pipelines, including data preprocessing, feature engineering, model development, and deployment. Collaborate with cross-functional teams to integrate models into production environments. Ensure models are scalable, accurate, and aligned with business objectives. Work with both structured and unstructured data from various sources, including images, text, and sensor data. Continuously evaluate and improve model performance, ensuring that solutions are up-to-date with the latest advancements in AI/ML. Key Qualifications Bachelor's or Master's degree in computer science, Engineering, or related field. Minimum of 3+ years of hands-on experience in data science and machine learning. Strong proficiency in Python and experience with libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch. Experience in building and deploying machine learning models in production environments. Strongexperience with NLP techniques deep learning models including CNNs, RNNs, and Transformers including LLMs, classification, and sentiment analysis. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Strong analytical and problem-solving skills, with the ability to work with large, complex datasets. Excellent communicatio (ref:hirist.tech)

Software Co is seeking highly skilled and versatile AI Solutions Engineers to join our dynamic and multi-disciplinary team. This role demands individuals with deep technical expertise in Artificial Intelligence and Machine Learning, capable of designing, developing, and deploying intelligent systems across diverse industries, including healthcare, construction, e-commerce, CRM/ERP systems, and cutting-edge hardware and wearable technology. The ideal candidate thrives in an environment of rapid innovation, demonstrates strong problem-solving abilities, and can translate complex business requirements into robust AI solutions that deliver tangible value for clients and end-users alike. Key Responsibilities: Design, develop, and deploy scalable AI and machine learning models tailored to specific industry use cases, such as medical transcription, smart scheduling, occupancy prediction, dynamic pricing, and real-time conversational interfaces. Build and optimise natural language processing (NLP) and generative AI modules to power chatbots, AI scribes, and conversational agents. Collaborate closely with cross-functional teams — including software developers, data engineers, UI/UX designers, and project managers — to integrate AI modules seamlessly into web, mobile, and wearable applications. Research and evaluate the latest AI frameworks and tools to ensure Software Co remains at the forefront of AI innovation. Participate in solution architecture design and contribute to technical roadmaps, ensuring scalability, security, and maintainability of AI-driven features. Document AI workflows, data pipelines, model training processes, and provide technical guidance to junior team members as required. Qualifications and Requirements: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven industry experience (3+ years) in developing and deploying AI/ML solutions. Proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, or similar. Hands-on experience with NLP libraries and LLM fine-tuning (e.g., spaCy, Hugging Face Transformers, LangChain). Strong grasp of data preprocessing, feature engineering, model selection, training, and evaluation. Demonstrated ability to design end-to-end machine learning pipelines and deploy models into production environments. Familiarity with cloud-based AI deployment (AWS, Azure, or GCP). Excellent communication skills with the ability to present complex technical ideas clearly to non-technical stakeholders. A proactive, self-motivated attitude and an eagerness to tackle complex, open-ended problems. Why Join Software Co? Work on diverse and impactful AI projects that push the boundaries of what’s possible. Collaborate with a talented, driven, and supportive team that values creativity and innovation. Access to continuous professional development and opportunities to shape industry-leading solutions. To Apply: Please submit your CV via the job advertisement and a cover letter highlighting your most relevant AI projects and your vision for how AI can transform modern industries.

Position: AI Engineer Location: Work from Office – 5 Days a Week Company: Kale Logistics Solutions About the Role: Kale Logistics is seeking a highly skilled and motivated AI Engineer to lead the development of innovative Generative AI and Agentic AI applications. This role involves designing, developing, and integrating cutting-edge AI models into scalable web-based products. You will collaborate with cross-functional teams to build, deploy, and optimize AI-powered solutions that transform the logistics industry. Key Responsibilities: Design, develop, and deploy scalable AI-powered applications using Python and modern AI frameworks. Build and manage robust APIs to integrate AI models with web applications. Utilize frameworks like LangChain, LangGraph, AutoGen, CrewAI, Hugging Face, OpenAI APIs, PyTorch, TensorFlow, and Phidata to build AI-driven solutions. Work with Generative AI models, Agent-based systems, and LLMs for real-world applications. Develop AI workflows, including data preprocessing, model training, deployment, and monitoring. Apply MLOps practices to automate and optimize the AI lifecycle (CI/CD, monitoring, scaling). Deploy solutions in cloud environments such as AWS, Azure, or GCP using tools like Docker, Kubernetes, and other orchestration platforms. Collaborate with product managers, UX designers, and software engineers to align AI solutions with business needs. Stay updated with emerging AI trends and technologies and implement relevant innovations. Conduct effective troubleshooting and root cause analysis (RCA) to resolve production issues. Requirements: Must-Have Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields. Pedigree: Must be a graduate from IIT, NIT, or BITS. Technical Experience: 3+ years of experience in AI/ML development using the Python stack. Proficiency in Python, REST APIs, and backend development. Experience with AI/ML frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Hugging Face, OpenAI APIs, PyTorch, TensorFlow. Solid understanding of algorithms, data preprocessing, AI/ML fundamentals, and generative models. Hands-on experience with AI model deployment, scalability, and performance optimization. Familiarity with cloud platforms (AWS, Azure, or GCP). Version control (Git), CI/CD pipelines, and containerization (Docker/Kubernetes). Nice to Have: Experience with MLOps tools and practices, model lifecycle management, and monitoring. Exposure to Phidata, CrewAI, or other emerging AI agent frameworks. Soft Skills: Excellent problem-solving and analytical skills. Strong communication skills to collaborate with cross-functional teams and stakeholders. Self-driven with a passion for innovation and emerging AI technologies. Ability to work independently and within a fast-paced, collaborative environment. Why Join Kale Logistics? Work at the forefront of AI innovation in air and port cargo logistics. Collaborate with a passionate team of AI engineers, developers, and innovators. Gain hands-on experience with cutting-edge AI frameworks, LLMs, and generative AI models. Clear growth paths with continuous learning and upskilling opportunities. Competitive compensation and benefits package.

Company Description Zenith(sub brand of baby dino) is a small startup at the forefront of innovation, merging content, code, and culture to captivate Gen Z. As a movement built on the intersection of these elements, Zenith crafts viral storytelling through tech innovation. Founded in India, Zenith's bold, duality-embracing identity pushes beyond traditional boundaries, setting rituals, creating platforms, and building communities. More than a brand, Zenith is a modern cult that shapes the future by inventing and reinventing marketing. Role Description This is a full-time remote role for an Artificial Intelligence Intern. The intern will assist in developing and deploying machine learning models, analyzing data and generating insights, and contributing to the programming of AI solutions. Daily tasks will include data preprocessing, model training, evaluation, and working closely with the AI team to innovate and improve existing systems. It involves building solutions from scratch i.e. from drafting problem statement to creating final product. Though an unpaid opportunity , it will provide you real world experience of developing AI-ML application. Though your main profile would be AI-ML, you may also be ready to work upon backend, frontend and even app development as required. Incase we are not able to reach you, mail us at babydinoindia01@gmail.com or zenithindia007@gmail.com. Minimum commitment period varies from 2 to 6 months. Perks include certificate and LoR. Qualifications Strong understanding of Computer Science principles Proficient in Analytical Skills and Data Science Expertise in Machine Learning techniques and algorithms Experience with Programming languages such as Python, Java, or similar Ability to work independently and as part of a team Excellent problem-solving skills Pursuing or completed a degree in Computer Science, Data Science, or related field

Job Description Design and develop machine learning models tailored to mechanical engineering challenges, including predictive modelling, simulation optimisation, and failure analysis. Utilise deep learning and other advanced ML techniques to improve the accuracy and efficiency of CAE simulations. Preprocess and analyse large datasets from CAE simulations, experimental tests, and manufacturing processes for modelling. Train, validate, and fine-tune machine learning models using real-world engineering data. Optimise models for performance, scalability, and robustness in production environments. Collaborate with CAE engineers to integrate ML models into existing simulation workflows (e.g., FEA, CFD, structural analysis). Automate repetitive simulation tasks and enable predictive analytics for design optimisation. Work closely with mechanical engineers, data scientists, and software developers to identify business challenges and develop data-driven solutions. Deploy machine learning models into production environments and monitor their performance. Maintain and update models to ensure reliability and continuous improvement. Stay abreast of the latest advancements in machine learning, AI, and CAE technologies. Apply innovative approaches to solve complex engineering problems. Requirements Bachelor’s or Master’s degree in Mechanical Engineering, Computer Science, or a related field Proven 2-3 years of experience in developing and deploying machine learning models, preferably in mechanical engineering or CAE domain Hands-on experience with CAE tools such as ANSYS, Abaqus, or similar FEA/CFD software Strong programming skills in Python, R, or Java Proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn) Experience with data preprocessing, feature engineering, and statistical analysis Solid understanding of mathematics, statistics, and problem-solving skills Excellent analytical thinking and ability to tackle complex engineering challenges Strong communication and teamwork skills to collaborate across disciplines Preferred: Experience with physics-informed machine learning and digital twin technologies Preferred: Familiarity with automation of CAE workflows and predictive modelling for product design Benefits Challenging job and a chance to team up with a young and dynamic professional group Chance to build yourself as WE grow. Remuneration that stays competitive and attractive to retain the best. Opportunity to join an organization experiencing year on year growth check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role We seek a highly skilled Senior Machine Learning Engineer / Senior Data Scientist to design, develop, and deploy advanced machine learning models and systems. The ideal candidate will have deep expertise in machine learning algorithms, data processing, and model deployment, with a proven track record of delivering scalable AI solutions in production environments. This role requires strong technical leadership, collaboration with cross-functional teams, and a passion for solving complex problems. Key tasks & accountabilities Model Development: Design, develop, and optimize machine learning models for various applications, including but not limited to natural language processing, computer vision, and predictive analytics. Data Pipeline Management: Build and maintain robust data pipelines for preprocessing, feature engineering, and data augmentation to support model training and evaluation. Model Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and performance using tools like Docker, Kubernetes, or cloud platforms preferably Azure. Research and Innovation: Stay updated on the latest advancements in machine learning and AI, incorporating state-of-the-art techniques into projects to improve performance and efficiency. Collaboration: Work closely with data scientists, software engineers, product managers, and other stakeholders to translate business requirements into technical solutions. Performance Optimization: Monitor and optimize model performance, addressing issues like model drift, bias, and scalability challenges. Code Quality: Write clean, maintainable, and well-documented code, adhering to best practices for software development and version control (e.g., Git). Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and innovation within the team. 3. Qualifications, Experience, Skills Level Of Educational Attainment Required Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. PhD is a plus. Previous Work Experience 5+ years of experience in machine learning, data science, or a related field. Proven experience in designing, training, and deploying machine learning models in production. Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Technical Skills Required Proficiency in Python and libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning, reinforcement learning, optimization). Experience with big data technologies (e.g., Hadoop, Spark, or similar) and data processing pipelines. Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD for ML workflows. Knowledge of software engineering principles, including object-oriented programming, API development, and microservices architecture. Other Skills Required Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Experience with generative AI models or large language models (LLMs). Familiarity with distributed computing or high-performance computing environments. And above all of this, an undying love for beer! We dream big to create future with more cheers

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role As a Senior Data Scientist , you will play a pivotal role in advancing AB InBev’s global Non-Commercial Analytics initiatives. You will lead data science efforts, guiding the team to scale and standardize AI-driven solutions across multiple ABI markets. This role requires a strong mix of hands-on technical expertise, stakeholder management, and a vision for driving AI innovation at scale. Key tasks & accountabilities Lead and execute end-to-end data science projects, from data collection and preprocessing to model development, deployment, and performance monitoring. Mentor and guide junior data scientists, fostering a culture of innovation and continuous learning. Work closely with cross-functional stakeholders to understand business needs, gather feedback, and align AI solutions with strategic objectives. Present complex insights to non-technical stakeholders, translating data-driven findings into actionable business strategies. Hands-on experience with AI/ML methodologies, including forecasting, clustering, regression, classification, optimization, deep learning, and Generative AI. Expertise in data manipulation using Python, SQL, and Excel. Strong understanding of Object-Oriented Programming (OOP), data structures, and algorithms for machine learning applications. Experience with OCR technologies (both open-source and enterprise-grade tools). Exposure to ML Ops and containerization tools like Docker is a plus. Familiarity with Azure Tech Stack, Databricks, and ML Flow. Drive the development of scalable AI/ML solutions that can be leveraged across multiple markets. Passion for building large-scale, AI-powered products, ensuring seamless integration with business workflows. Stay updated with emerging trends in AI and data science, continuously improving methodologies and tools. 3. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) B.Tech/BE/ Masters in Statistics or Economics/ econometrics, MBA. Previous Work Experience Minimum 5 years of relevant experience. Technical Skills Required Strong programming skills in Python (ability to build end-to-end ML/data pipelines is a plus). Experience with Large Language Models (LLMs) and their application in solving business problems. Hands-on expertise in statistical analysis, ML concepts, and optimization techniques. Experience in building and deploying large-scale software applications. Proficiency in Git for version control. Strong problem-solving and critical thinking abilities. Passion for solving complex business challenges using data-driven insights. Detail-oriented, analytical, and highly inquisitive. Curious, fast learner, and a strong team player. Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. And above all of this, an undying love for beer! We dream big to create future with more cheers

Responsibilities: Overall 8+ years of experience, out of which in 4+ in AI, ML and Gen AI and related technologies Proven track record of leading and scaling AI/ML teams and initiatives Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications Expertise in ML frameworks such as PyTorch and/or TensorFlow Experience with ONNX runtime, model optimization and hyperparameter tuning Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices - DevOps/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack Experience in production-level deployment of AI models at enterprise scale Proficiency in data preprocessing, feature engineering, and large-scale data handling Expertise in image and video processing, object detection, image segmentation, and related CV tasks Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications Experience with speech recognition, audio classification, and general signal processing techniques Experience with RAG, VectorDB, GraphDB and Knowledge Graphs Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI) Required Skills: Strong leadership and team management skills Excellent verbal and written communication skills Strategic thinking and problem-solving abilities Adaptability and adapting to the rapidly evolving AI/ML landscape Strong collaboration and interpersonal skills Ability to translate market needs into technological solutions Strong understanding of industry dynamics and ability to translate market needs into technological solutions Demonstrated ability to foster a culture of innovation and creative problem-solving

AI/ML & GenAI Expertise 5+ years of experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment Practical experience with LLMs and GenAI tools such as OpenAI APIs, Hugging Face, LangChain, or Transformers Understanding of how to integrate LLMs into applications through prompt engineering, retrieval-augmented generation (RAG), and vector search Comfortable working with unstructured data (text, images) in real-world product environments Bonus: experience with model fine-tuning, evaluation metrics, or vector databases like FAISS, Pinecone, or Weaviate Ownership & Execution Demonstrated ability to take full ownership of features or modules from architecture to delivery Able to work independently in ambiguous situations and drive solutions with minimal guidance Experience collaborating cross-functionally with designers, PMs, and other engineers to deliver user-focused solutions Strong debugging, systems thinking, and decision-making skills with an eye toward scalability and performance Core Engineering Advanced Python skills with a strong grasp of clean, modular, and maintainable code practices Experience building production-ready backend services using frameworks like FastAPI, Flask, or Django Strong understanding of software architecture, including RESTful API design, modularity, testing, and versioning. Experience working with databases (SQL/NoSQL), caching layers, and background job queues. Nice-to-Have Skills Experience in startup or fast-paced product environments. 5+ years of relevant experience. Familiarity with asynchronous programming patterns in Python. Exposure to event-driven architecture and tools such as Kafka, RabbitMQ, or AWS EventBridge Data science exposure: exploratory data analysis (EDA), statistical modeling, or experimentation Built or contributed to agentic systems, ML/AI pipelines, or intelligent automation tools Understanding of MLOps: model deployment, monitoring, drift detection, or retraining pipelines Frontend familiarity (React, Tailwind) for prototyping or contributing to full-stack features

AI Internship at SpectoV – Shape the Future with Intelligent Technology! Are you passionate about artificial intelligence and want to build impactful, real-world applications? SpectoV is offering an AI Internship exclusively for freshers who are eager to learn, innovate, and contribute to AI-driven solutions across mobile, web, and immersive platforms. 🚀 How It Works: ✅ Step 1: Mandatory AI Training (Sankalp Program) Before beginning the internship, all selected candidates must complete the Sankalp AI Training Program (1 month). This essential training lays the foundation in: Machine learning & deep learning basics Data preprocessing & model evaluation AI integration in web/mobile applications Tools like Python, TensorFlow, and OpenCV Note: Completion of this training is mandatory to become eligible for the internship phase. ✅ Step 2: Real-Time AI Projects After successful completion of the training, interns will contribute to SpectoV’s real-world projects such as: AI-powered mobile and web applications Computer vision tools and generative AI Emotion/voice recognition systems Intelligent automation and more 📌 Internship Details: Duration: 3–6 months Stipend: Up to ₹10,000/month (performance-based) Location: Remote/Hybrid Eligibility: Freshers with a passion for AI/ML and software development 🔗 Website: spectov.com 🔍 What We’re Looking For: Eagerness to explore AI and its real-world applications Basic knowledge of Python, ML libraries (TensorFlow/PyTorch) Familiarity with model training, APIs, and data handling Creative mindset and problem-solving skills Readiness to learn in a fast-paced, team-driven environment 🌟 Why Join SpectoV? Get trained by AI professionals through the Sankalp program Work on impactful, real-world AI solutions Pathway to full-time opportunities after internship Be part of a visionary tech team reshaping the future Interested? Apply now and take your first step toward an AI career with SpectoV! Know someone who’d love this opportunity? Tag them! 🤖📊

Hyderabad, Telangana Job ID 30181031 Job Category Engineering Role - Lead Engineer Job Location – Hyderabad Full time/Part Time - Full Time Build a career with confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. Job Summary : Established professional in Data and Analytic Methods who works to achieve day-to-day objectives with moderate impact on work area. Participates in scientific and mathematical principles to collect data across processes and products. Supports in identifying problems, participates in analyzing opportunities through the use of statistical techniques. Prepares datasets and may communicate results to team. About the role Job Description Lead the design, development, and deployment of machine learning models and algorithms. Manage and mentor a team of data scientists and engineers, fostering a collaborative and innovative environment. Collaborate with cross-functional teams to identify business problems and translate them into machine learning solutions. Oversee the data collection, preprocessing, and feature engineering processes. Conduct experiments and iterate on models to improve performance and accuracy. Stay current with the latest research and advancements in AI and machine learning technologies. Develop and implement best practices for code quality, testing, and deployment. Communicate findings and recommendations to stakeholders and technical teams effectively. Specific responsibilities for this position will be: Collect data from IoT platform, perform data quality check and filtering techniques Organize large-scale data to the required formats for data analysis for different service business use cases. Data mining using state-of-the-art methods Selecting features, building and optimizing classifiers using machine learning techniques Enhancing data collection procedures to include information that is relevant for building analytic systems Develop tools of visualization and dashboard to illustrate the data analysis results. Support the development and implementation of end-to-end cloud-based AI/ML and Data Analytics solutions. Deploy analytics algorithms to the cloud-based IoT platform (e.g., Microsoft Azure, AWS etc.). Take ownership and responsibility of deliverables (might involve little bit of coding as well) Required Skills/Education: Good knowledge of Data science life cycle Hands on experience in developing analytics approaches and solutions Expertise in Python, AI/ML libraries, ML, DL and problem solving Working experience on MLOps on cloud platforms like AWS/Azure. Knowledge of GenAI, LLM project implementation. Master’s degree in computer science, Statistics, Math, or Engineering with 10+ years of experience Ph.D in Thermal, AI/ML/Data Analytics, Statistics, Math, or Engineering is a plus. Benefits We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary. Have peace of mind and body with our health insurance Make yourself a priority with flexible schedules and leave Policy Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program. Our commitment to you Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way. Join us and make a difference. Now! Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Machine Learning Engineer Experience: 5+ years No. Of Positions: 5 Location : Bangalore (White Field) Budget : 27 LPA Vendor Payout : 90K Key Skills: Strong experience in ML model development & deployment Hands-on with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras Proficiency in Python, scikit-learn, and ML/DL libraries Expertise in building and optimizing neural networks for real-world applications Solid understanding of data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms (AWS, Azure, GCP) Job Types: Full-time, Permanent Pay: ₹2,280,325.89 - ₹2,719,922.05 per year Benefits: Provident Fund Schedule: Rotational shift Work Location: In person

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support data-driven decision-making, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives. *Why PWC At PwC , you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC , we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities: · Hands-on experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization. · 5-10 years experience on SAP BW. · Experience in integration of BW with various SAP and Non-SAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA. · knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit. · full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA · Hands on Experience in data extraction using standard or generic data sources. Good Knowledge of data source enhancement · Strong experience in writing ABAP/AMDP code for exits, Transformation. · Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting. · Understanding of LSA/LSA++ architecture and its development standards. · Good understanding of BW4 Application and Database security concepts. · Functional Knowledge of various Modules like SD, MM, FI. · Mandatory skill sets: SAP SAC/SAP Native Hana/SAP SAC Preferred skill sets: SAP SAC/SAP Native Hana/SAP SAC Years of experience required: 4-10 Education qualification: Btech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills SAP EPM SAP Analytics Cloud (SAC) - Planning & Forecasting Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, Data-Driven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Optimism {+ 10 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date