1936 Preprocessing Jobs - Page 4

Job Purpose Report to the Head of 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. Excellent with stakeholder management Should have excellent communication skills 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: Total 8yrs with atleast 5+yrs on 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. Rich Experience in Workday reporting, Viva GLINT, Visier, HR data systems. Preprocessing structured/unstructured data. Expert in Advanced MS Excel, Altrix, 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.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 12 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work on integrating generative AI models into various applications, which may include deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams will be essential to ensure that the solutions are effective and meet the needs of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of various machine learning algorithms and their applications. - Experience with cloud-based AI services and deployment strategies. - Familiarity with data preprocessing and feature engineering techniques. - Ability to work with large datasets and perform data analysis. Additional Information: - The candidate should have minimum 12 years of experience in Machine Learning. - This position is based at our Gurugram office. - A 15 years full time education is required., 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in AI and machine learning. - Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services, particularly in deploying AI solutions. - Familiarity with data preprocessing and feature engineering techniques. - Ability to work with various AI tools and libraries to develop innovative solutions. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Mumbai office. - A 15 years full time education is required.

We are looking for an enthusiastic Data Scientist to join our team based in Bangalore. You will be pivotal in developing, deploying, and optimizing recommendation models that significantly enhance user experience and engagement. Your work will directly influence how customers interact with products, driving personalization and conversion. Responsibilities Model Development: Design, build, and fine-tune machine learning models focused on personalized recommendations to boost user engagement and retention. Data Analysis: Perform a comprehensive analysis of user behavior, interactions, and purchasing patterns to generate actionable insights. Algorithm Optimization: Continuously improve recommendation algorithms by experimenting with new techniques and leveraging state-of-the-art methodologies. Deployment and Monitoring: Deploy machine learning models into production environments, and develop tools for continuous performance monitoring and optimization. Requirements Education level: Bachelor's degree (B. E. / B. Tech) in Computer Science or equivalent from a reputed institute. Technical Expertise Strong foundation in Statistics, Probability, and core Machine Learning concepts. Hands-on experience developing recommendation algorithms, including collaborative filtering, content-based filtering, matrix factorization, or deep learning approaches. Proficiency in Python and associated libraries (NumPy, Pandas, Scikit-Learn, PySpark). Experience with TensorFlow or PyTorch frameworks and familiarity with recommendation system libraries (e. g., torch-rec). Solid understanding of Big Data technologies and tools (Hadoop, Spark, SQL). Familiarity with the full Data Science lifecycle from data collection and preprocessing to model deployment. This job was posted by Rituza Rani from Oneture Technologies.

Role Description: As an AI Engineer at Knowdis.ai, you will be an integral part of our AI development team, working on challenging projects that leverage the latest advancements in Natural Language Processing (NLP) and Reinforcement Learning. You will be responsible for designing, implementing, and optimizing AI models that drive our core products, focusing on product recommendation systems, marketplaces, and translation systems. This role offers the opportunity to work with a team of highly skilled professionals in a dynamic and collaborative environment. Key Responsibilities: Develop and implement state-of-the-art AI models for product recommendation systems, marketplaces, and translation systems. Design and optimize algorithms for Natural Language Processing (NLP) and Reinforcement Learning. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct research to stay up-to-date with the latest advancements in AI and integrate relevant findings into ongoing projects. Perform data preprocessing, feature engineering, and model evaluation to ensure high performance and accuracy of AI models. Deploy and maintain AI models in production environments, ensuring scalability and reliability. Participate in code reviews, provide constructive feedback, and ensure best practices in AI development are followed. Document technical designs, experiments, and results for internal and external stakeholders. Qualifications and Experience: Bachelor's degree in Computer Science or a related field from a Tier-1 Institute. 2-5 years of hands-on experience in AI/ML development, with a focus on NLP or Reinforcement Learning. Strong proficiency in programming languages such as Python, and experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Proven experience in developing and deploying AI models in real-world applications, particularly in product recommendation systems, marketplaces, or translation systems. Solid understanding of machine learning algorithms, data structures, and software engineering principles. Experience with data pre-processing, feature extraction, and model evaluation techniques. Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders. Strong problem-solving skills, attention to detail, and a passion for innovation in AI technology Preferred Qualifications: Master's degree in Computer Science or a related field. Experience with cloud platforms (e.g., AWS, GCP, Azure) and scalable AI/ML infrastructure. Selection Process: Interested Candidates are mandatorily required to apply through the listing on Jigya . Only applications received through this posting will be evaluated further. Shortlisted candidates may be required to appear in an Online Assessment and Screening interview administered by Jigya Candidates selected after the Jigya screening rounds will be interviewed by KnowDis

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.

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description As a Staff Machine Learning Engineer , you will drive AI programs, lead engagements, and independently develop innovative solutions that enhance decision-making, automate workflows, and create growth. You will own the end-to-end development of AI-powered applications, from solution design to deployment, leveraging pre-trained machine learning and generative AI models. You will work closely with cross-functional teams, proactively identifying opportunities to integrate AI capabilities into Experian's products and services while optimizing performance and scalability. Qualifications Experinece working in cloud environment with one of Databricks, Azure or AWS 8+ years experience building data-drive products and solutions Experience leading AI engagements Strong experience with AI APIs (OpenAI, Hugging Face, Google Vertex AI, AWS Bedrock) and fine-tuning models for production use. Deep understanding of machine learning, natural language processing (NLP), and generative AI evaluation techniques.Key Responsibilities Assist in Developing and Deploying Machine Learning Models: Support the development and deployment of machine learning models, including data preprocessing and performance evaluation in Python using sklearn, numpy and other standard libraries. Build and Maintain ML Pipelines: Help build and maintain scalable ML pipelines, and assist in automating model training workflows in Python using MLFlow, Databricks, Sagemaker or equivalent. Collaborate with Cross-Functional Teams: Work with product and data teams to align ML solutions with business needs and objectives. Write Clean and Documented Code: Write clean, well-documented code, following best practices for testing and version control. Use Sphinx and other auto documentation solutions to automate document generation. Support Model Monitoring and Debugging: Assist in monitoring and debugging models to improve their reliability and performance. Participate in Technical Discussions and Knowledge Sharing: Engage in technical discussions, code reviews, and knowledge-sharing sessions to learn and grow within the team. Day-to-Day ActivitiesOn a daily basis, you will work closely with senior ML engineers and data scientists to support various stages of the machine learning lifecycle. Your day-to-day activities will include: Data Preprocessing: Cleaning and preparing data for model training, ensuring data quality and consistency. Model Training: Assisting in the training of machine learning models, experimenting with different algorithms and hyperparameters. Performance Evaluation: Evaluating model performance using appropriate metrics and techniques, and identifying areas for improvement. Pipeline Maintenance: Building and maintaining ML pipelines, ensuring they are scalable and efficient. Code Development: Writing and maintaining clean, well-documented code, following best practices for testing and version control. Model Monitoring: Monitoring deployed models to ensure they are performing as expected, and assisting in debugging any issues that arise. Collaboration: Participating in team meetings, sprint planning, and daily stand-ups to stay aligned with project goals and timelines. Additional Information Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Benefits Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here

Location: Remote Employment Type: Full-time About the Role We are looking for a Senior Machine Learning Engineer to lead the development and deployment of AI/ML models for our platforms. In this role, you will drive technical strategy and you will be responsible for designing and deploying intelligent systems ,mentor junior engineers, and collaborate with cross-functional teams to deliver scalable, production-grade ML solutions. Key Responsibilities Independently design, build, and deploy machine learning models for core use cases. Drive the end-to-end lifecycle of ML projects—from scoping and architecture to implementation, deployment, and performance tuning. Maintain a hands-on approach in all aspects of development—from data preprocessing and feature engineering to model training, evaluation, and optimization. Lead technical reviews, provide constructive feedback, and help grow the team’s skill sets through coaching and knowledge sharing. Provide technical leadership and mentorship to junior engineers and data scientists, fostering a collaborative and high-performing team culture. Drive ML initiatives from ideation through production, ensuring scalability, performance, and maintainability. Collaborate with cross-functional teams including product, engineering, and operations to integrate intelligent solutions into user-facing products. Establish and promote ML best practices, including reproducibility, version control, testing,MLOps, and data governance. Oversee and guide the creation of scalable and maintainable ML pipelines and infrastructures. Stay ahead of industry trends and guide the adoption of new tools and techniques where relevant. Evaluate and integrate cutting-edge tools, frameworks, and techniques in NLP, deep learning, and computer vision. Own the quality, fairness, and compliance of ML systems, especially in sensitive use cases like content filtering and moderation. Design and implement machine learning models for automated content moderation , including toxicity, hate speech, spam, and NSFW detection. Build and optimize personalized recommendation systems using collaborative filtering, content-based, and hybrid approaches. Develop and maintain embedding-based similarity search for recommending relevant content based on user behavior and content metadata. Fine-tune and apply LLMs for moderation and summarization , leveraging prompt engineering or adapter-based methods. Deploy real-time inference pipelines for immediate content filtering and user-personalized suggestions. Ensure content moderation models are explainable , auditable , and bias-mitigated to align with ethical AI practices. Hands-on experience in content recommendation systems (e.g., collaborative filtering, ranking models, embeddings). Experience with content moderation frameworks , such as Perspective API, OpenAI moderation endpoints, or custom NLP classifiers. Strong knowledge of transformer-based models for NLP , including experience with Hugging Face, BERT, RoBERTa, etc. Practical experience with LLMs (GPT, Claude, Mistral) and tools for LLM fine-tuning or prompt engineering for moderation tasks. Familiarity with vector databases (e.g., FAISS, Pinecone) for similarity search in recommendation systems. Deep understanding of model fairness, debiasing techniques , and AI safety in content moderation . Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 5+ years of hands-on experience in machine learning, NLP, or deep learning, with a track record of leading projects. Expertise in Python and machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, etc. Strong background in recommendation systems, content moderation, or ranking algorithms. Experience with cloud platforms (AWS/GCP/Azure), distributed computing (Spark), and MLOps tools. Proven ability to lead complex ML projects and teams, delivering business value through intelligent systems. Excellent communication skills, with the ability to explain complex ML concepts to stakeholders. Experience with LLMs (GPT, Claude, Mistral) and fine-tuning for domain-specific tasks. Knowledge of reinforcement learning, graph ML, or multimodal systems. Previous experience building AI systems for content moderation, personalization, or recommendation in a high-scale platform. Strong awareness of ethical AI principles, fairness, bias mitigation, and responsible data usage. Contributions to open-source ML projects or published research.

Introduction A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. In this role, you will work for IBM BPO, part of Consulting that, accelerates digital transformation using agile methodologies, process mining, and AI-powered workflows. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience. Your Role And Responsibilities We are seeking for a passionate and skilled Python AI Engineer to design, develop and maintain hybrid AI Platform across multi-cloud and on-premises. Build an AI platform that enables real time machine learning and GenAI at scale along with governance and security frameworks. You will collaborate with data engineer, product managers, and software engineers to bring AI-driven products and features to life. Job Description Work with frameworks like TensorFlow/PyTorch, Scikit-learn, or similar. Design and implement AI/ML models and algorithms using Python3. Develop and maintain scalable, production-grade machine learning pipelines. Conduct data exploration, preprocessing, feature engineering, and model evaluation. Optimize models for performance and scalability in production environments. Collaborate with cross-functional teams to integrate AI components into real-world applications. Stay up to date with the latest research and industry trends in AI and machine learning. Document experiments, code, and processes for reproducibility and transparency. Preferred Education Master's Degree Required Technical And Professional Expertise Strong programming skills in Python 3. Solid understanding of machine learning fundamentals (classification, regression, clustering, etc.). Experience with ML libraries and frameworks (e.g., Scikit-learn, TensorFlow/PyTorch, XGBoost, etc.). Experience in NLP related to Semantic models/Search using BERT/ transformer model. Experience with Gen AI ecosystem/tools is a plus. Experience in data wrangling using Pandas/Polaris, NumPy, SQL, etc. Good grasp of software engineering principles (version control, testing, modular code). Preferred Technical And Professional Experience Familiarity with REST APIs and deployment practices (Dockerized Container, Flask/FastAPI, etc.). Understanding of cloud platforms (AWS, GCP, Azure) is a plus. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Communication: Strong interpersonal and communication skills, with the ability to work effectively in a collaborative team environment

Company Description B-School Blueprint specializes in MBA admissions consulting, guiding applicants in telling their unique stories to stand out in competitive applications. Founded by experts from ISB, INSEAD, London Business School, and IITs, we have helped hundreds of students secure admissions to Global Top-50 B-Schools. With a 98% interview invite rate and a 64% admit success rate, 9 out of 10 of our clients secure at least one dream admit. We offer mentorship at fair prices, ensuring exceptional value for your investment. The Opportunity We’re offering a paid internship for a motivated and curious AI Software Intern to join our tech team. This is your chance to work on real-world AI applications, contribute to product development, and learn from professionals with deep industry experience. What You’ll Work On Contributing to software development and testing tasks within a live product environment Collaborating on programming challenges and database management Participating in software architecture and design discussions Gaining hands-on exposure to AI and ML tools and workflows Supporting the team in developing scalable, data-driven solutions Why Join Us? Real-World Learning : Work on AI/ML projects with practical applications Mentorship : Learn directly from experienced mentors Flexibility : Remote options and flexible working hours that accommodate your college schedule Stipend : INR 10,000/month Career Growth : Possible full-time offer post internship. Dependent on performance Duration : 3 to 6 months (flexible based on your availability) Who We’re Looking For Currently pursuing a degree in Computer Science or related field Solid programming and software development skills Understanding of database systems and basic backend logic Eagerness to explore AI/ML technologies Familiarity with deep learning models is a plus Comfortable working with large datasets: data cleaning, preprocessing, and transformation Strong analytical mindset and ability to thrive in a collaborative environment Ready to make an impact and build your AI career? Apply now and be part of a fast-growing ed-tech platform that's transforming the future of university admissions

We are a cutting-edge technology company that specializes in developing innovative artificial intelligence and machine learning solutions. Our mission is to harness the power of AI to drive business growth, improve efficiency, and enhance customer experience. Job Summary: We are seeking an experienced Artificial Intelligence Engineer to join our team in Indore, Madhya Pradesh, India. As an AI Engineer, you will be responsible for designing, developing, and deploying AI and ML models to solve complex business problems. You will work closely with our data scientists, product managers, and other engineers to integrate AI into our products and services. Key Responsibilities: 1. Design and Develop AI/ML Models: Design, develop, and deploy AI/ML models using Python and other relevant technologies. Collaborate with data scientists to gather requirements, collect data, and develop models. Implement and test models using various frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). 2. Prompt Engineering: Develop and refine natural language processing (NLP) models using prompt engineering techniques. Create high-quality prompts to elicit accurate and relevant responses from AI models. Optimize prompt design to improve model performance and reduce errors. 3. Python Development: Develop and maintain Python scripts and code to support AI/ML model deployment. Utilize Python libraries and frameworks to build and integrate AI/ML models into our products. Collaborate with other engineers to ensure seamless integration with existing systems. 4. Data Preprocessing and Analysis: Collect, preprocess, and analyze data to support AI/ML model development. Clean, transform, and feature-engineer data to improve model performance. Work with data scientists to identify and address data quality issues. 5. Collaboration and Communication: Work closely with data scientists, product managers, and other engineers to integrate AI

Design, develop, and implement machine learning models, including deep learning, reinforcement learning, and predictive modelling. Leverage frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for AI/ML development. Work on NLP projects utilizing tools like NLTK, Langchain, and large language models (GPT and LLAMA). Perform data preprocessing, cleaning, and transformation for machine learning pipelines. Conduct data exploration and statistical analysis to derive actionable insights. Utilize tools like Power BI, Tableau, Matplotlib, Plotly, and Seaborn to create interactive dashboards and visualizations. Deliver engaging online and offline training sessions on AI, ML, Deep Learning, and related tools Create course materials, hands-on projects, quizzes, and assignments Guide students on capstone projects and assessments Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Education: Bachelor's (Preferred) Experience: total work: 2 years (Preferred) artificial intelligence: 2 years (Preferred) Work Location: In person

Nizzcorp is looking for a dynamic AI/ML Developer with hands-on experience across the AI spectrum — from classical Machine Learning and Deep Learning to cutting-edge Generative AI applications. If you're passionate about solving real-world problems using intelligent systems, we want you on our team. Responsibilities: Build, deploy, and maintain ML/DL/GenAI models and pipelines Work on end-to-end AI product lifecycle (data collection to model serving) Integrate LLMs and GenAI APIs into real-world applications Analyze and interpret complex datasets for actionable insights Collaborate with cross-functional teams to develop scalable solutions Requirements: Minimum 1 year of professional experience in AI/ML Strong understanding of: Machine Learning algorithms Deep Learning (CNN, RNN, Transformers) Generative AI (LLMs, image/text generation) Data Science and data preprocessing pipelines Proficient in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn Experience with APIs, deployment, and version control (Git) Bonus: Experience with RAG, fine-tuning, prompt engineering What We Offer: Opportunity to work on cutting-edge AI projects Collaborative, learning-focused environment Flexible working hours and remote-friendly culture Fast career growth and upskilling support Job Type: Full-time Pay: ₹25,000.00 - ₹35,000.00 per month Schedule: Day shift Experience: Machine learning: 1 year (Required) Deep learning: 1 year (Required) Python: 2 years (Required) PyTorch: 1 year (Required) TensorFlow: 1 year (Required) Azure: 1 year (Required) Work Location: In person Expected Start Date: 30/07/2025

Project description We are looking for a skilled Document AI / NLP Engineer to develop intelligent systems that extract meaningful data from documents such as PDFs, scanned images, and forms. In this role, you will build document processing pipelines using OCR and NLP technologies, fine-tune ML models for tasks like entity extraction and classification, and integrate those solutions into scalable cloud-based applications. You will collaborate with cross-functional teams to deliver high-performance, production-ready pipelines and stay up to date with advancements in the document understanding and machine learning space. Responsibilities Design, build, and optimize document parsing pipelines using tools like Amazon Textract, Azure Form Recognizer, or Google Document AI. Perform data preprocessing, labeling, and annotation for training machine learning and NLP models. Fine-tune or train models for tasks such as Named Entity Recognition (NER), text classification, and layout understanding using PyTorch, TensorFlow, or HuggingFace Transformers. Integrate document intelligence capabilities into larger workflows and applications using REST APIs, microservices, and cloud components (e.g., AWS Lambda, S3, SageMaker). Evaluate model and OCR accuracy, applying post-processing techniques or heuristics to improve precision and recall. Collaborate with data engineers, DevOps, and product teams to ensure solutions are robust, scalable, and meet business KPIs. Monitor, debug, and continuously enhance deployed document AI solutions. Maintain up-to-date knowledge of industry trends in OCR, Document AI, NLP, and machine learning. Skills Must have 4-5 years of hands-on experience in machine learning, document AI, or NLP-focused roles. Strong expertise in OCR tools and frameworks, especially Amazon Textract, Azure Form Recognizer, Google Document AI, or open-source tools like Tesseract, LayoutLM, or PaddleOCR. Solid programming skills in Python and familiarity with ML/NLP libraries: scikit-learn, spaCy, transformers, PyTorch, TensorFlow, etc. Experience working with structured and unstructured data formats, including PDF, images, JSON, and XML. Hands-on experience with REST APIs, microservices, and integrating ML models into production pipelines. Working knowledge of cloud platforms, especially AWS (S3, Lambda, SageMaker) or their equivalents. Understanding of NLP techniques such as NER, text classification, and language modeling. Strong debugging, problem-solving, and analytical skills. Clear verbal and written communication skills for technical and cross-functional collaboration. Nice to have N/A Other Languages English: B2 Upper Intermediate Seniority Senior Gurugram, India Req. VR-116250 AI/ML BCM Industry 29/07/2025 Req. VR-116250

We are seeking a highly skilled AI Engineer with a strong foundation in machine learning, deep learning, cloud platforms , and computer vision to join our innovative tech team. You’ll design and implement scalable AI/ML pipelines, automate workflows, train and optimize models, and deploy solutions on cloud infrastructure. This is an opportunity to shape the future of intelligent systems across industries. Key Responsibilities: Design, develop, and deploy ML/DL models for various applications, including computer vision and predictive analytics. Build data pipelines and model training workflows on cloud platforms such as AWS, Azure, or GCP. Automate model retraining, evaluation, and deployment processes using MLOps best practices. Collaborate with cross-functional teams (data engineers, product managers, developers) to define project requirements and deliver AI-powered features. Develop and fine-tune custom algorithms tailored to specific domain problems. Integrate AI solutions into existing systems using APIs, containers, and cloud-native tools. Conduct data preprocessing, exploratory data analysis, and feature engineering. Research and evaluate the latest AI trends, tools, and frameworks to recommend enhancements. Write clear, maintainable, and efficient code with documentation for reproducibility and scaling. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related fields. 3+ years of hands-on experience in building and deploying machine learning/deep learning models. Strong programming skills in Python and frameworks like TensorFlow, PyTorch, OpenCV, Scikit-learn. Experience with computer vision libraries (OpenCV, YOLO, Detectron2, etc.). Proficiency in cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML Studio). Experience with Docker, Kubernetes, or other orchestration tools. Familiarity with MLOps tools like MLflow, DVC, Kubeflow, or Airflow. Solid understanding of algorithms, data structures, and model optimization techniques. Exposure to RESTful APIs and real-time inference systems. Strong analytical, problem-solving, and communication skills. Nice to Have: Experience with NLP models and transformers (e.g., Hugging Face). Experience deploying models at scale in production environments. Knowledge of CI/CD pipelines for AI applications. Publications or contributions to open-source AI projects. Why Join Us? Job Type: Permanent Pay: ₹20,000.00 - ₹50,000.00 per month Work Location: In person

Job Title: AI/ML Internship Company: Digirocket Technologies Location: Gurgaon, India Job Type: Internship (Full-time) Duration: 6 months Stipend: [Optional – mention if applicable] About Digirocket Technologies: Digirocket Technologies is a forward-thinking technology company focused on delivering cutting-edge digital solutions. Based in Gurgaon, we specialize in leveraging artificial intelligence, machine learning, and data analytics to empower businesses with intelligent automation and insights. Internship Overview: We are looking for a passionate and self-motivated AI/ML Intern to join our team. This internship offers hands-on experience with real-world machine learning projects, mentorship from experienced engineers, and exposure to the full ML lifecycle—from data preprocessing to model deployment. Key Responsibilities: Assist in building, training, and evaluating machine learning models. Perform data preprocessing, feature engineering, and exploratory data analysis. Collaborate with the development team on deploying AI/ML solutions. Research and experiment with new algorithms and techniques. Document experiments, code, and project outcomes clearly. Requirements: Currently pursuing or recently completed a degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning concepts and algorithms. Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch. Familiarity with data handling using Pandas, NumPy, etc. Knowledge of basic statistics and data visualization techniques. Strong problem-solving skills and the ability to work independently. Preferred Qualifications: Experience with NLP, computer vision, or deep learning projects. Familiarity with tools like Jupyter, Git, and cloud platforms (AWS, GCP, or Azure). Published projects on GitHub or relevant academic work. What We Offer: Mentorship from experienced AI professionals. Opportunity to work on live projects and make meaningful contributions. Flexible work environment (hybrid/onsite options in Gurgaon). Certificate of internship and potential full-time offer for top performers. How to Apply: Please send your resume, portfolio (if any), and a brief cover letter to hrconnect@digirockett.com Job Type: Internship Contract length: 6 months Pay: ₹10,000.00 - ₹15,000.00 per month Schedule: Evening shift Monday to Friday UK shift US shift Supplemental Pay: Overtime pay Work Location: In person

Job Description: We are looking for a Python AI Developer with expertise in AI/ML model development using data sourced from internal/external databases . The ideal candidate should have experience in building, training, and deploying machine learning models using structured and unstructured data. You will work closely with data engineers and software developers to create AI-driven solutions that enhance our applications and business processes. Key Responsibilities: Develop and deploy AI models using Python and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Worked with internal databases (SQL, NoSQL) to extract, clean, and preprocess data for AI models. Design and implement data pipelines for training and inference.Optimise model performance and ensure scalability .Collaborate with software developers to integrate AI solutions into production systems. Ensure the security and integrity of AI-driven applications.Stay updated with the latest AI, ML, and data science trends. Required Skills & Qualifications: Strong proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn . Experience working with structured and unstructured data from relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Firebase) databases.Knowledge of ETL processes and data engineering concepts. Experience with API development for AI model integration.Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployments.Strong understanding of data preprocessing, feature engineering, and model tuning . Ability to write clean, efficient, and scalable code.Experience with version control (Git) and Agile methodologies. Preferred Skills: Knowledge of Natural Language Processing (NLP) and LLM fine-tuning. Experience with MLOps tools and practices.Familiarity with big data technologies such as Spark, Hadoop .Understanding of deep learning architectures (CNNs, RNNs, Transformers). Job Type: Full-time Pay: Up to ₹100,000.00 per month Benefits: Flexible schedule Work Location: In person Application Deadline: 07/04/2025

We’re looking for a passionate and curious AI/ML Developer to join our team. Whether you're a fresher with strong fundamentals or a developer with a few years of experience in building intelligent systems, this role offers the opportunity to work on exciting machine learning and data-driven solutions. You’ll be responsible for developing, training, and deploying machine learning models, working with large datasets, and collaborating with product and engineering teams to turn data into real-world impact. Key Responsibilities : Build, train, evaluate, and deploy machine learning models for real-world use cases Work with structured and unstructured data, performing data preprocessing, cleaning, and transformation Design and implement pipelines for data ingestion and model training Collaborate with software developers, data engineers, and domain experts to integrate AI/ML solutions into products Research and experiment with new algorithms and techniques to solve business problems Monitor the performance of models in production and continuously optimize them Present insights, models, and solutions clearly to technical and non-technical stakeholders Maintain clear documentation and follow best practices in coding and versioning Required Skills & Qualifications : 1–5 years of hands-on experience or academic projects in Machine Learning or Artificial Intelligence Strong programming skills in Python (preferred) or R, with experience using libraries like scikit-learn, TensorFlow, PyTorch, or Keras Solid understanding of ML concepts such as supervised/unsupervised learning, feature engineering, model evaluation Knowledge of data handling tools like Pandas, NumPy, and SQL Familiarity with NLP, Computer Vision, or Deep Learning techniques is a plus Understanding of REST APIs and integration of ML models into web applications Experience with version control tools like Git Exposure to cloud platforms such as AWS, Azure, or Google Cloud is an advantage Strong problem-solving, critical thinking, and communication skills Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field Python scikit-learn TensorFlow Keras PyTorch Pandas NumPy SQL Machine Learning Deep Learning NLP Computer Vision Git REST API Jupyter Notebooks AWS Azure Google Cloud Platform (GCP) Data Preprocessing Model Deployment We Offer 5 Day Working Paid Leave All Leave Encashment Health Insurance Festival Celebration Employee Engagement Great Work Space Annual Picnic OUR MISSION At ARK Infosoft, our mission is to empower businesses to grow by providing them with personalized IT solutions. We achieve this by leveraging the latest technologies, prioritizing our customers, and continuously seeking innovative ways to improve. Our goal is to be the most trusted partner in our clients’ journey towards digital advancement. We are dedicated to excellence, integrity, and social responsibility, aiming to create lasting value for our clients, employees, and communities. We are committed to ensuring a sustainable and prosperous future for all. OUR VISION Our vision is to establish ARK Infosoft as a leading IT company renowned for delivering creative solutions that help businesses succeed in today’s digital world. We aim to be the go-to partner for all their IT needs, fostering growth and prosperity in every industry we serve. By prioritizing innovation, collaboration, and sustainability, we envision a future where technology empowers businesses to reach their full potential. We strive to drive positive global impact, shaping a brighter tomorrow by enabling businesses to thrive in the digital age.

For 3–5 Years Experience Please share your updated via anjali.sharma@genicminds.com _ AI/ML Engineer / Data Scientist _ 1. Core Technical Skills Python (NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn, beautifulsoup, selenium) SQL(MySQL/PostgreSQL), Mongo DB, NLP, Computer Vision, RAG, Vector DBs, LLMs, Agentic AI, Neural Network, RNN, CNN, LSTMs, web scraping. ML algorithms: regression, decision trees, random forests, XGBoost, SVM, KMeans, DBSCAN, etc. Model evaluation: cross-validation, precision/recall, ROC-AUC, confusion matrix 2. AI/ML Frameworks Scikit-learn, TensorFlow or PyTorch Keras Familiar with pre-trained models (e.g., BERT, ResNet, Stable Diffusion) and transfer learning 3. Practical Experience Building and deploying end-to-end ML pipeline Experience with REST APIs or Flask/FastAPI-based model deployment Version control with Git 4. Data Handling Data preprocessing, feature engineering Experience with structured, semi-structured data and unstructured data Data visualization (Power BI, Tableau, or Python libs) 5. Cloud & DevOps Basics Working knowledge of AWS/GCP/Azure (S3, Lambda, SageMaker or equivalent) Docker CI/CD understanding 6. Soft Skills Good documentation practices Able to explain ML models to non-tech stakeholders Cross-functional collaboration experience Job Types: Full-time, Permanent Schedule: Day shift Work Location: In person

For 3–5 Years Experience – Mid-Level AI/ML Engineer / Data Scientist 1. Core Technical Skills Python (NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn, beautifulsoup, selenium) SQL(MySQL/PostgreSQL), Mongo DB, NLP, Computer Vision, RAG, Vector DBs, LLMs, Agentic AI, Neural Network, RNN, CNN, LSTMs, web scraping. ML algorithms: regression, decision trees, random forests, XGBoost, SVM, KMeans, DBSCAN, etc. Model evaluation: cross-validation, precision/recall, ROC-AUC, confusion matrix 2. AI/ML Frameworks Scikit-learn, TensorFlow or PyTorch Keras Familiar with pre-trained models (e.g., BERT, ResNet, Stable Diffusion) and transfer learning 3. Practical Experience Building and deploying end-to-end ML pipelines Experience with REST APIs or Flask/FastAPI-based model deployment Version control with Git 4. Data Handling Data preprocessing, feature engineering Experience with structured, semi-structured data and unstructured data Data visualization (Power BI, Tableau, or Python libs) 5. Cloud & DevOps Basics Working knowledge of AWS/GCP/Azure (S3, Lambda, SageMaker or equivalent) Docker CI/CD understanding 6. Soft Skills Good documentation practices Able to explain ML models to non-tech stakeholders Cross-functional collaboration experience Job Types: Full-time, Permanent Pay: ₹450,000.00 - ₹650,000.00 per year Work Location: In person

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

Job Description: AI Engineer - Generative AI Company:- Focalworks Solutions Pvt Ltd. Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years About Us Focalworks is a trusted digital solutions partner for global organizations, consulting firms, and startups. Since 2008, we have been passionate about creating impact through technology, crafting custom software, digital experiences, and e-commerce solutions that drive success. As we look to the future, we are building the next generation of AI-powered solutions to lead the charge in digital transformation. We believe this is the future of software, and we are looking for brilliant engineers to join us in this exciting venture. The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer A competitive salary and performance bonus. Comprehensive health insurance. Flexible working hours and a hybrid work model. A budget for professional development, conferences, and certifications. The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to rahul.narwade@focalworks.in , with the subject line " Application for AI Engineer ".

Job Description: AI Engineer - Generative AI Company: Focalworks Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years About Us Focalworks is a trusted digital solutions partner for global organizations, consulting firms, and startups. Since 2008, we have been passionate about creating impact through technology, crafting custom software, digital experiences, and e-commerce solutions that drive success. As we look to the future, we are building the next generation of AI-powered solutions to lead the charge in digital transformation. We believe this is the future of software, and we are looking for brilliant engineers to join us in this exciting venture. The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) ● Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. ● Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. ● Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. ● Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. ● Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. ● Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. ● Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals ● Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. ● Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . ● Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. ● Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. ● API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency ● Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. ● Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. ● Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). ● Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. ● Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills ● Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. ● Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer ● A competitive salary and performance bonus. ● Comprehensive health insurance. ● Flexible working hours and a hybrid work model. ● A budget for professional development, conferences, and certifications. ● The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to careers@focalworks.in , with the subject line " Application for AI Engineer ". Linkedin Connect/Mail We are glad that to inform you that we have a job opening for the position of “ AI Engineer - Generative AI ” for our company location Vashi ,Navi Mumbai, Below is the details for the same. Company: Focalworks Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) ● Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. ● Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. ● Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. ● Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. ● Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. ● Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. ● Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals ● Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. ● Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . ● Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. ● Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. ● API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency ● Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. ● Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. ● Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). ● Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. ● Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills ● Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. ● Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer ● A competitive salary and performance bonus. ● Comprehensive health insurance. ● Flexible working hours and a hybrid work model. ● A budget for professional development, conferences, and certifications. ● The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. If interested you can share your Updated resume at Rahul.narwade@focalworks.in with below required job opening:_ Total Yrs of Experience Relevant Yrs of experience AI Engineer :__ ; Python__YRS ; NumPy:__YRS, Pandas__YRS ; LLMs Frameworks:__YRS ; LangChain:-___YRS or LlamaIndex :-__YRS what is the current CTC:___LPA What is Expected CTC:-__LPA Notice Period:_-___ Reason for change:- Current Location:- Available to work at our office location(Vashi Navi Mumbai location):- __ How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to careers@focalworks.in , with the subject line " Application for AI Engineer ". Job Type: Full-time Pay: ₹1,200,000.00 - ₹4,000,000.00 per year Schedule: Day shift Work Location: In person

We are seeking a cross-functional expert at the intersection of Product, Engineering, and Machine Learning to lead and build cutting-edge AI systems. This role combines the strategic vision of a Product Manager with the technical expertise of a Machine Learning Engineer and the innovation mindset of a Generative AI and LLM expert. You will help define, design, and deploy AI-powered features , train and fine-tune models (including LLMs), and architect intelligent AI agents that solve real-world problems at scale. 🎯 Key Responsibilities 🧩 Product Management: Define product vision, roadmap, and AI use cases aligned with business goals. Collaborate with cross-functional teams (engineering, research, design, business) to deliver AI-driven features. Translate ambiguous problem statements into clear, prioritized product requirements. ⚙️ AI/ML Engineering & Model Development Develop, fine-tune, and optimize ML models, including LLMs (GPT, Claude, Mistral, etc.). Build pipelines for data preprocessing, model training, evaluation, and deployment. Implement scalable ML solutions using frameworks like PyTorch , TensorFlow , Hugging Face , LangChain , etc. Contribute to R&D for cutting-edge models in GenAI (text, vision, code, multimodal). 🤖 AI Agents & LLM Tooling Design and implement autonomous or semi-autonomous AI Agents using tools like AutoGen , LangGraph , CrewAI , etc. Integrate external APIs, vector databases (e.g., Pinecone, Weaviate, ChromaDB), and retrieval-augmented generation (RAG). Continuously monitor, test, and improve LLM behavior, safety, and output quality. 📊 Data Science & Analytics Explore and analyze large datasets to generate insights and inform model development. Conduct A/B testing, model evaluation (e.g., F1, BLEU, perplexity), and error analysis. Work with structured, unstructured, and multimodal data (text, audio, image, etc.). 🧰 Preferred Tech Stack / Tools Languages: Python, SQL, optionally Rust or TypeScript Frameworks: PyTorch, Hugging Face Transformers, LangChain, Ray, FastAPI Platforms: AWS, Azure, GCP, Vertex AI, Sagemaker ML Ops: MLflow, Weights & Biases, DVC, Kubeflow Data: Pandas, NumPy, Spark, Airflow, Databricks Vector DBs: Pinecone, Weaviate, FAISS Model APIs: OpenAI, Anthropic, Google Gemini, Cohere, Mistral Tools: Git, Docker, Kubernetes, REST, GraphQL 🧑‍💼 Qualifications Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Machine Learning, or a related field. 10+ years of experience in core ML, AI, or Data Science roles. Proven experience building and shipping AI/ML products. Deep understanding of LLM architectures, transformers, embeddings, prompt engineering, and evaluation. Strong product thinking and ability to work closely with both technical and non-technical stakeholders. Familiarity with GenAI safety, explainability, hallucination reduction, and prompt testing, computer vision 🌟 Bonus Skills Experience with autonomous agents and multi-agent orchestration. Open-source contributions to ML/AI projects. Prior Startup Or High-growth Tech Company Experience. Knowledge of reinforcement learning, diffusion models, or multimodal AI. Skills: text,claude,vision,hugging face transformers,sagemaker,hallucination reduction,langchain,genai safety,machine learning,data science & analytics,transformers,crewai,gcp,open-source contributions to ml/ai projects,startup,chromadb,graphql,pipelines,diffusion models,llm architectures,prompt engineering,gpt,weaviate,cohere,structured, unstructured, and multimodal data,docker,autogen,ai/ml products,model development,git,ai use,a/b testing,core ml,code,ai/ml engineering & model development,vertex ai,architect intelligent ai agents,tensorflow,bleu,ai-driven features,error analysis,roadmap,typescript,retrieval-augmented generation (rag),model training,multimodal ai,weights & biases,image,generative ai,hugging face,ray,f1,explore and analyze large datasets,spark,kubernetes,data science,product management,autonomous agents,mlflow,multimodal,ai,rest,google gemini,model evaluation,computer vision,mistral,vector databases,sql,engineering,airflow,output quality,pinecone,langgraph,reinforcement learning,pandas,llms,rust,ai-powered features,fastapi,multi-agent orchestration,embeddings,python,aws,ml models,kubeflow,pytorch,azure,dvc,openai,faiss,databricks,audio,ai engineering,numpy,anthropic,define product vision

Job purpose: Design, develop, and deploy end-to-end AI/ML systems, focusing on large language models (LLMs), prompt engineering, and scalable system architecture. Leverage technologies such as Java/Node.js/NET to build robust, high-performance solutions that integrate with enterprise systems. Who You Are: Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. PhD is a plus. 10+ years of experience in AI/ML development, with at least 2 years working on LLMs or NLP. Proven expertise in end-to-end system design and deployment of production-grade AI systems. Hands-on experience with Java/Node.js/.NET for backend development. Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers). Key Responsibilities: 1. Model Development & Training: Design, train, and fine-tune large language models (LLMs) for tasks such as natural language understanding, generation, and classification. Implement and optimize machine learning algorithms using frameworks like TensorFlow, PyTorch, or Hugging Face. 2. Prompt Engineering: Craft high-quality prompts to maximize LLM performance for specific use cases, including chatbots, text summarization, and question-answering systems. Experiment with prompt tuning and few-shot learning techniques to improve model accuracy and efficiency. 3. End-to-End System Design: Architect scalable, secure, and fault-tolerant AI/ML systems, integrating LLMs with backend services and APIs. Develop microservices-based architectures using Java/Node.js/.NET for seamless integration with enterprise applications. Design and implement data pipelines for preprocessing, feature engineering, and model inference. 4. Integration & Deployment: Deploy ML models and LLMs to production environments using containerization (Docker, Kubernetes) and cloud platforms (AWS/Azure/GCP). Build RESTful or GraphQL APIs to expose AI capabilities to front-end or third-party applications. 5. Performance Optimization: Optimize LLMs for latency, throughput, and resource efficiency using techniques like quantization, pruning, and model distillation. Monitor and improve system performance through logging, metrics, and A/B testing. 6. Collaboration & Leadership: Work closely with data scientists, software engineers, and product managers to align AI solutions with business objectives. Mentor junior engineers and contribute to best practices for AI/ML development. What will excite us: Strong understanding of LLM architectures and prompt engineering techniques. Experience with backend development using Java/Node.js (Express)/.NET Core. Familiarity with cloud platforms (AWS, Azure, GCP) and DevOps tools (Docker, Kubernetes, CI/CD). Knowledge of database systems (SQL, NoSQL) and data pipeline tools (Apache Kafka, Airflow). Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to work in a fast-paced, collaborative environment. What will excite you: Lead AI innovation in a fast-growing, technology-driven organization. Work on cutting-edge AI solutions, including LLMs, autonomous AI agents, and Generative AI applications. Engage with top-tier enterprise clients and drive AI transformation at scale. Location: Ahmedabad