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Overview Tricky WebSolutions is seeking a skilled and enthusiastic AI/ML Developer with at least 2 years of experience to join our innovative team. The successful candidate will be responsible for developing and deploying machine learning models, conducting data analysis, and collaborating with cross-functional teams to integrate AI solutions into our products and services. Responsibilities Model Development : Design, develop, and deploy machine learning models for various applications. Implement algorithms and conduct experiments to test and validate models. Optimize and improve the performance of existing models. Data Analysis : Collect, preprocess, and analyze large datasets to extract meaningful insights. Develop data pipelines and ensure data quality and integrity. Collaboration : Work closely with data scientists, software developers, and product managers to integrate AI solutions into web applications. Communicate findings and technical concepts to non-technical stakeholders. Research and Innovation : Stay updated with the latest advancements in AI and machine learning technologies. Explore and propose new techniques and tools to enhance AI capabilities. Deployment and Maintenance : Implement machine learning models in production environments. Monitor model performance and maintain AI systems. Requirements Educational Background : Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Technical Skills : Proficiency in programming languages such as Python or R. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning algorithms and principles. Familiarity with data preprocessing techniques and tools. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus. Analytical Skills : Strong problem-solving abilities and attention to detail. Ability to analyze complex data and interpret results. Communication Skills : Excellent written and verbal communication skills. Ability to explain technical concepts to a non-technical audience. Experience : At least 2 years of experience in AI/ML development or a related field. Experience with natural language processing (NLP) and computer vision is a plus. Experience in deploying machine learning models in production environments. Preferred Qualifications Certifications : Relevant certifications in AI/ML are advantageous. Project Management : Experience with agile methodologies and project management tools. Publications : Contributions to research papers or relevant publications in the field of AI/ML. How to Apply Interested candidates are invited to send their CV to hr@trickywebsolutions.com . Please include "AI/ML Developer Application" in the subject line of the email. Job Type: Full-time Pay: ₹10,000.00 - ₹40,000.00 per month Schedule: Day shift Work Location: In person

We at Zoptal are seeking a passionate and motivated AI/ML Intern to join our growing data science and AI team. You will work on real-world machine learning problems and contribute to building intelligent solutions that support business goals. This internship will provide hands-on experience in the end-to-end lifecycle of machine learning projects. Responsibilities Assist in designing, developing, and evaluating machine learning models for various projects. Collect, preprocess, and analyze large datasets. Support model training, validation, and deployment efforts. Collaborate with software engineers, data scientists, and product managers. Conduct literature reviews to explore the latest research and techniques in AI/ML. Document findings and present progress to the team regularly. Requirements Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Strong foundation in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch. Knowledge of ML algorithms (e.g., regression, classification, clustering, deep learning). Familiarity with data preprocessing techniques and model evaluation metrics. Good analytical and problem-solving skills. Strong communication and teamwork abilities. What You’ll Gain Hands-on experience with real AI/ML projects. Mentorship from experienced professionals. Exposure to industry-standard tools and workflows. A chance to make meaningful contributions to impactful solutions. How to Apply: Send your updated resume and a brief statement of interest to our email address. Include links to your GitHub, Kaggle profile, or any relevant projects (if available). Best Regards, Kavita Rai HR Manager Job Type: Full-time Pay: ₹6,000.00 - ₹8,000.00 per month Schedule: Day shift Monday to Friday Application Question(s): 3-6 months training in AL/ML is required to apply for this profile Education: Bachelor's (Preferred) Location: Mohali, Punjab (Required) Work Location: In person

Job Title:- AI/ML Engineer Experience:- 2 to 3 years Job Overview:- As an AI/ML Engineer, you will be responsible for developing and implementing artificial intelligence and machine learning solutions that solve complex business problems. You will work with stakeholders to understand business requirements, gather and preprocess data, build and train deep learning based models, and deploy and integrate them into software applications. Your primary goal will be to develop AI/ML solutions that meet business needs while ensuring that they are accurate, reliable, and scalable. Responsibilities:- Analyze business requirements and develop AI/ML solutions to solve complex problems Collect, preprocess, and clean data from various sources to build models Build, train, test, and deploy deep learning based models using state-of-the-art techniques and frameworks Collaborate with software engineers to integrate AI/ML models into software applications Develop and maintain AI/ML infrastructure, including data storage and computing resources Monitor and optimize AI/ML models for accuracy, reliability, and scalability Document and communicate best practices for building and deploying AI/ML models Requirments:- Bachelor's or Master's degree in Computer Science, or related field Strong understanding of deep learning and machine learning concepts and techniques Proficiency in programming languages such as Python, R, or Java Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn Strong problem-solving skills and attention to detail Excellent communication and collaboration skills If you have a passion for AI/ML and a strong background of deep learning in computer vision and natural language processing, this is an exciting opportunity to work on cutting-edge technology and contribute to the development of innovative AI/ML solutions. Why Logicwind: Opportunity to develop your own team Fast growth and more visibility into the company Experience working with the latest technology Competitive Learning Environment with supportive co-workers Paid leaves up to certain limits This position will require working from the office Website: https://www.logicwind.com/ Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹700,000.00 per year Benefits: Flexible schedule Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Work Location: In person

Join our Team About this opportunity: We are seeking a highly skilled and motivated AI Engineer to join our growing AI/ML team. The ideal candidate will be responsible for developing, deploying, and scaling machine learning and GenAI (LLM-based) solutions across business domains. You will work closely with data scientists, data engineers, and business stakeholders to turn innovative ideas into impactful solutions using state-of-the-art cloud technologies and MLOps practices. What you will do: Develop, Train, Test, and Deploy Machine Learning and GenAI-LLM models. Collect, Clean, and preprocess large-scale datasets for AI/ML training and evaluation. Collaborate with cross-functional teams to understand business needs and translate them into AI solutions. Design and implement scalable AI services and pipelines using Python and Cloud technologies (e.g., Azure, AWS).Continuously improve model performance through tuning, optimization, and retraining. Knowledge of MLOps practices to use IaC to deploy models into production and industrialising the business solution The skills you bring: Strong expertise in AWS services: Glue, SageMaker, Lambda, CloudWatch, S3, IAM, etc. Solid programming skills in Python and experience with PySpark for large-scale data processing. Experience with DevOps/MLOps tools such as Azure DevOps, GitHub Actions. Experience & Education: Bachelor’s or Master’s in Computer Science, Data Science, AI, or related field. 5–10 years of experience in ML/AI model development and deployment. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 769126

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 27th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

DATA ENGINEER Who We Are? Cleantech Industry Resources accelerates United States solar, battery storage and EV projects by providing turnkey development as a service including 100% internal systems engineering. The company deploys a leading team that spun out of the largest solar power producer in the world. This team operates within a sophisticated suite of software to support projects from land origination, through to commercial operation. Location Chennai What We Offer Opportunity to join a top-notch, collaborative team of professionals Fantastic team environment and collaborative culture Professional development opportunities to grow into an industry leader Medical Insurance for the employee and family Spot Recognition bonus for exceptional performance Long Term Incentive policy Regular team outings, events, and activities to foster a positive work environment Our Commitment to Diversity At CIR, we are dedicated to nurturing a diverse and equitable workforce that truly reflects our community. We deeply value each person’s unique perspective, skills, and experiences. CIR embraces all individuals, regardless of race, religion, sexual orientation, gender identity, age, or nationality. We are steadfast in our commitment to fostering a just and inclusive world through intentional policies and actions. Your individuality enriches our collective strength, and we strive to ensure everyone feels respected, valued, and empowered. Position Summary As a Data Engineer, you would be required to take ownership of data infrastructure, pipeline development, and data curation for regulatory, zoning, renewable energy, and geospatial data applications. This role involves handling large-scale datasets related to zoning laws, permitting, environmental regulations, and spatial data, ensuring data quality, and enabling seamless integration with AI/ML models. The ideal candidate will be responsible for designing end-to-end data pipelines, supporting data-driven decision-making, and building and leading a data engineering team as they scale their operations. Core Responsibilities Data Engineering & Pipeline Development: Design and develop ETL pipelines to collect, clean, and transform regulatory and geospatial datasets. Build data ingestion pipelines for integrating zoning laws, permitting data, renewable energy regulations, GIS data, and environmental impact assessments. Work with PostGIS, PostgreSQL, and cloud-based storage solutions to manage structured and unstructured data. Develop automated data workflows to support AI/ML applications and real-time analytics. Ensure scalability, security, and performance of data architecture to handle large and diverse datasets. Data Curation & Quality Assurance: Collect and preprocess zoning regulations, permitting documents, renewable energy policies, environmental impact assessments, and spatial data for AI applications. Implement data validation techniques to ensure accuracy and consistency. Maintain metadata, lineage tracking, and documentation for all datasets. Optimize regulatory and geospatial data storage, indexing, and querying for real-time performance. Collaboration & Leadership: Work closely with AI/ML Engineers to align data structures with machine learning models. Collaborate with stakeholders to define data needs, storage strategies, and reporting workflows. Take the lead in hiring, training, and managing a data engineering team to scale operations effectively. Stay updated with emerging data engineering best practices and implement innovative solutions. Education Requirements Master’s or Ph.D. in Computer Science, Data Engineering, GIS, or related fields. Technical Skills and Experience Software Proficiency: Programming: Python (Pandas, NumPy, SQLAlchemy), SQL. Database & Storage: PostgreSQL, PostGIS, NoSQL, Cloud Data Warehouses (BigQuery, Snowflake, Redshift). Data Processing: Apache Airflow, Apache Spark, ETL frameworks, data lakes. Regulatory & GIS Data Management: Experience with QGIS, GDAL, GeoPandas, Google Earth Engine, and handling zoning/permitting datasets. Cloud & Infrastructure: AWS/GCP/Azure (S3, RDS, Lambda, EC2), Docker, Kubernetes. Big Data Processing: Experience with distributed computing, real-time data streaming, and indexing techniques. Communication: Strong ability to translate complex data requirements into business value. Project Management: Design experience in projects from conception to implementation. Ability to coordinate with other engineers and stakeholders. Renewable Energy Systems: Understanding of solar energy systems and their integration into existing infrastructure Experience 2-4 years of experience Experience with automating regulatory data processing and AI-driven decision support systems. Strong understanding of vector databases, spatial indexing, and knowledge graphs. Hands-on experience building data architectures supporting ML/AI applications. Psychosocial Skills /Human Skills/Behavioural Skills Strong analytical, organizational, and problem-solving skills. Management experience a plus. Must be a go-getter with an enterprising attitude A self-starter, able to demonstrate high levels of initiative and motivation Entrepreneurial mindset with the ability to take ideas and run with them from concept to conclusion. Technical understanding of clean energy business processes Exceptional verbal and writing communication skills with superiors, peers, partners, and other stakeholders. Excellent interpersonal skills while managing multiple priorities in a fast-paced and ever-changing environment. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The physical demands of this job require an individual to be able to work at a computer for most of the day, be able to participate in conference calls and travel to team retreats on a time-to-time basis. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work Conditions The work environment is usually quiet (normal city traffic noises are common), a blend of artificial and natural light, temperate and generally supports a collaborative work environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Equal Opportunity Employer At Cleantech Industry Resources, we embrace diversity and uphold a strong dedication to establishing an all-encompassing atmosphere for both our staff and associates. Our choices in employment are free from any bias related to race, creed, nationality, ethnicity, gender, sexual orientation, gender identity, gender expression, age, physical limitations, veteran status, or any other legally safeguarded attributes. Being an integral part of Cleantech Industry Resources means you can expect to be immersed in a realm of professional possibilities within a culture that nurtures teamwork, adaptability, and the embracing of all.

AI/ML ENGINEER Who We Are? Cleantech Industry Resources accelerates United States solar, battery storage and EV projects by providing turnkey development as a service including 100% internal systems engineering. The company deploys a leading team that spun out of the largest solar power producer in the world. This team operates within a sophisticated suite of software to support projects from land origination, through to commercial operation. Location Chennai What We Offer Opportunity to join a top-notch, collaborative team of professionals Fantastic team environment and collaborative culture Professional development opportunities to grow into an industry leader Medical Insurance for the employee and family Spot Recognition bonus for exceptional performance Long Term Incentive policy Regular team outings, events, and activities to foster a positive work environment Our Commitment to Diversity At CIR, we are dedicated to nurturing a diverse and equitable workforce that truly reflects our community. We deeply value each person’s unique perspective, skills, and experiences. CIR embraces all individuals, regardless of race, religion, sexual orientation, gender identity, age, or nationality. We are steadfast in our commitment to fostering a just and inclusive world through intentional policies and actions. Your individuality enriches our collective strength, and we strive to ensure everyone feels respected, valued, and empowered. Position Summary We are looking for an AI/ML Engineer to build and optimize machine learning models for GIS-based spatial analysis and data-driven decision-making. This role involves working on geospatial AI models, data pipelines, and Retrieval-Augmented Generation (RAG)-based applications for zoning, county sentiment analysis, and regulatory insights. The engineer will also work closely with the data team, leading efforts in data curation and building robust data pipelines to collect, preprocess, and analyse extensive datasets from various geospatial and regulatory sources to generate automated reports and insights. Core Responsibilities Machine Learning for GIS & Spatial Analysis: Develop and deploy ML models for geospatial data processing, forecasting, and automated GIS insights. Work with large-scale geospatial datasets (e.g., satellite imagery, shapefiles, raster/vector data). Create AI models for land classification, feature detection, and geospatial pattern analysis. Optimize spatial data pipelines and build predictive models for environmental and energy sector applications. Retrieval-Augmented Generation (RAG) & NLP Development: Develop RAG-based AI applications to extract insights from zoning, permitting, and regulatory documents. Build LLM-based applications for zoning law interpretation, county sentiment analysis, and compliance predictions. Implement document retrieval and summarization techniques for legal, policy, and energy development reports. Data Engineering & Pipeline Development: Lead the creation of ETL pipelines to collect and preprocess geospatial data for ML model training. Work with PostGIS, PostgreSQL, and cloud storage to manage structured and unstructured data. Collaborate with the data team to design and implement efficient data processing and storage solutions. AI Model Optimization & Deployment: Fine-tune LLMs for domain-specific applications in renewable energy and urban planning. Deploy AI models using cloud-based MLOps frameworks (AWS, GCP, Azure). Optimize ML model inference for real-time GIS applications and geospatial data analysis. Collaboration & Continuous Improvement: Work with cross-functional teams to ensure seamless AI integration with existing business processes. Engage in knowledge sharing and mentoring within the company. Stay updated with latest advancements in AI, GIS, and NLP to improve existing models and solutions. Education Requirements Master’s in Computer Science, Data Science, Machine Learning, Geostatistics, or related fields. Technical Skills and Experience Software Proficiency: Programming: Python (TensorFlow, PyTorch, scikit-learn, pandas, NumPy), SQL. Machine Learning & AI: Deep learning, NLP, retrieval-based AI, geospatial AI, predictive modeling. GIS & Spatial Data Processing: Experience with PostGIS, GDAL, GeoPandas, QGIS, Google Earth Engine. LLM & RAG Development: Experience in fine-tuning LLMs, retrieval models, vector databases (FAISS, Weaviate). Cloud & MLOps: AWS/GCP/Azure, Docker, Kubernetes, MLflow, FastAPI. Big Data Processing: Experience with large-scale data mining, data annotation, and knowledge graph techniques. Database & Storage: PostgreSQL, NoSQL, vector databases, cloud storage solutions. Communication: Strong ability to explain complex AI/ML concepts to non-technical stakeholders. Project Management: Design experience in projects from conception to implementation. Ability to coordinate with other engineers and stakeholders. Renewable Energy Systems: Understanding of solar energy systems and their integration into existing infrastructure Experience 2-4 years of experience Experience in developing AI for energy sector, urban planning, or environmental analysis. Strong understanding of potential prediction, zoning laws, and regulatory compliance AI applications. Familiarity with spatiotemporal ML models and satellite-based geospatial analytics. Psychosocial Skills /Human Skills/Behavioural Skills Strong analytical, organizational, and problem-solving skills. Management experience a plus. Must be a go-getter with an enterprising attitude A self-starter, able to demonstrate high levels of initiative and motivation Entrepreneurial mindset with the ability to take ideas and run with them from concept to conclusion. Technical understanding of clean energy business processes Exceptional verbal and writing communication skills with superiors, peers, partners, and other stakeholders. Excellent interpersonal skills while managing multiple priorities in a fast-paced and ever-changing environment. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The physical demands of this job require an individual to be able to work at a computer for most of the day, be able to participate in conference calls and travel to team retreats on a time-to-time basis. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work Conditions The work environment is usually quiet (normal city traffic noises are common), a blend of artificial and natural light, temperate and generally supports a collaborative work environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Equal Opportunity Employer At Cleantech Industry Resources, we embrace diversity and uphold a strong dedication to establishing an all-encompassing atmosphere for both our staff and associates. Our choices in employment are free from any bias related to race, creed, nationality, ethnicity, gender, sexual orientation, gender identity, gender expression, age, physical limitations, veteran status, or any other legally safeguarded attributes. Being an integral part of Cleantech Industry Resources means you can expect to be immersed in a realm of professional possibilities within a culture that nurtures teamwork, adaptability, and the embracing of all.

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 27th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 27th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Job Title: AI/ML Engineer Experience: 4+ Years Location: Remote Job Type: Full-Time Job Summary: We are looking for a passionate and results-driven AI/ML Engineer with 4 years of experience in designing, building, and deploying machine learning models and intelligent systems. The ideal candidate should have solid programming skills, a strong grasp of data preprocessing, model evaluation, and MLOps practices. You will collaborate with cross-functional teams including data scientists, software engineers, and product managers to integrate intelligent features into applications and systems. Key Responsibilities: Design, develop, train, and optimize machine learning and deep learning models for real-world applications. Preprocess, clean, and transform structured and unstructured data for model training and evaluation. Implement, test, and deploy models using APIs or microservices (Flask, FastAPI, etc.) in production environments. Use ML libraries and frameworks like Scikit-learn, TensorFlow, PyTorch, Hugging Face, XGBoost, etc. Monitor and retrain models as needed for performance, accuracy, and drift mitigation. Collaborate with software and data engineering teams to operationalize ML solutions using MLOps tools. Stay updated with emerging trends in AI/ML and suggest enhancements to existing systems. Required Skills and Qualifications: Bachelor’s or Master’s in Computer Science, Engineering, AI/ML, Data Science, or related field. 4+ years of hands-on experience in machine learning model development and deployment. Strong experience in Python and libraries like Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn. Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in model deployment using Flask, FastAPI, Docker, and REST APIs. Experience with version control (Git), model versioning, and experiment tracking (MLflow, Weights & Biases). Familiarity with cloud platforms like AWS (SageMaker), Azure ML, or GCP AI Platform. Knowledge of databases (SQL/NoSQL) and data pipelines (Airflow, Spark, etc.). Strong problem-solving and debugging skills, with an analytical mindset.

Exp – 15 to 23yrs Location : Chennai /Bangalore Primary skill :- GEN AI Architect, Building GEN AI solutions, Coding, AI ML background, Data engineering, Azure or AWS cloud Job Description : The Generative Solutions Architect will be responsible for designing and implementing cutting-edge generative AI models and systems. He / She will collaborate with data scientists, engineers, product managers, and other stakeholders to develop innovative AI solutions for various applications including natural language processing (NLP), computer vision, and multimodal learning. This role requires a deep understanding of AI/ML theory, architecture design, and hands-on expertise with the latest generative models. Key Responsibilities : GenAI application conceptualization and design: Understand the use cases under consideration, conceptualization of the application flow, understanding the constraints and designing accordingly to get the most optimized results. Deep knowledge to work on developing and implementing applications using Retrieval-Augmented Generation (RAG)-based models, which combine the power of large language models (LLMs) with information retrieval techniques. Prompt Engineering: Be adept at prompt engineering and its various nuances like one-shot, few shot, chain of thoughts etc and have hands on knowledge of implementing agentic workflow and be aware of agentic AI concepts NLP and Language Model Integration - Apply advanced NLP techniques to preprocess, analyze, and extract meaningful information from large textual datasets. Integrate and leverage large language models such as LLaMA2/3, Mistral or similar offline LLM models to address project-specific goals. Small LLMs / Tiny LLMs: Familiarity and understanding of usage of SLMs / Tiny LLMs like phi3, OpenELM etc and their performance characteristics and usage requirements and nuances of how they can be consumed by use case applications. Collaboration with Interdisciplinary Teams - Collaborate with cross-functional teams, including linguists, developers, and subject matter experts, to ensure seamless integration of language models into the project workflow. Text / Code Generation and Creative Applications - Explore creative applications of large language models, including text / code generation, summarization, and context-aware responses. Skills & Tools Programming Languages - Proficiency in Python for data analysis, statistical modeling, and machine learning. Machine Learning Libraries - Hands-on experience with machine learning libraries such as scikit-learn, Huggingface, TensorFlow, and PyTorch. Statistical Analysis - Strong understanding of statistical techniques and their application in data analysis. Data Manipulation and Analysis - Expertise in data manipulation and analysis using Pandas and NumPy. Database Technologies - Familiarity with vector databases like ChromaDB, Pinecone etc, SQL and Non-SQL databases and experience working with relational and non-relational databases. Data Visualization Tools - Proficient in data visualization tools such as Tableau, Matplotlib, or Seaborn. Familiarity with cloud platforms (AWS, Google Cloud, Azure) for model deployment and scaling. Communication Skills - Excellent communication skills with the ability to convey technical concepts to non-technical audiences.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 27th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

Job Details Category: Data Science Location : Bangalore Experience Level: 4-8 Years Position Description We are looking for a Data Engineer who will play a pivotal role in transforming raw data into actionable intelligence through sophisticated data pipelines and machine learning deployment frameworks. They will collaborate across functions to understand business objectives, engineer data solutions, and ensure robust AI/ML model deployment and monitoring. This role is ideal for someone passionate about data science, MLOps, and building scalable data ecosystems in cloud environments. Key Responsibilities Data Engineering & Data Science: Preprocess structured and unstructured data to prepare for AI/ML model development. Apply strong skills in feature engineering, data augmentation, and normalization techniques. Manage and manipulate data using SQL, NoSQL, and cloud-based data storage solutions such as Azure Data Lake. Design and implement efficient ETL pipelines, data wrangling, and data transformation strategies. Model Deployment & MLOps Deploy ML models into production using Azure Machine Learning (Azure ML) and Kubernetes. Implement MLOps best practices, including CI/CD pipelines, model versioning, and monitoring frameworks. Design mechanisms for model performance monitoring, alerting, and retraining. Utilize containerization technologies (Docker/Kubernetes) to support deployment and scalability Business & Analytics Insights Work closely with stakeholders to understand business KPIs and decision-making frameworks. Analyze large datasets to identify trends, patterns, and actionable insights that inform business strategies. Develop data visualizations using tools like Power BI, Tableau, and Matplotlib to communicate insights effectively. Conduct A/B testing and evaluate model performance using metrics such as precision, recall, F1-score, MSE, RMSE, and model validation techniques. Desired Profile Proven experience in data engineering, AI/ML data preprocessing, and model deployment. Strong expertise in working with both structured and unstructured datasets. Hands-on experience with SQL, NoSQL databases, and cloud data platforms (e.g., Azure Data Lake). Deep understanding of MLOps practices, containerization (Docker/Kubernetes), and production-level model deployment. Technical Skills Proficient in ETL pipeline creation, data wrangling, and transformation methods. Strong experience with Azure ML, Kubernetes, and other cloud-based deployment technologies. Excellent knowledge of data visualization tools (Power BI, Tableau, Matplotlib). Expertise in model evaluation and testing techniques, including A/B testing and performance metrics. Soft Skills Strong analytical mindset with the ability to solve complex data-related problems. Ability to collaborate with cross-functional teams to understand business needs and provide actionable insights. Clear communication skills to convey technical details to non-technical stakeholders. If you are passionate to work in a collaborative and challenging environment, apply now!

Summary Position Summary The AI&E portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE – Machine Vision Developer Level: Consultant As Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines in an agile framework. Need-basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Responsibilities: The work you will do includes: Develop, test & deploy advanced Computer Vision algorithms for industrial apps, ensuring real-time processing & high accuracy Work with data scientists to preprocess and annotate datasets, and with software engineers to integrate vision solutions into OT systems Continuously monitor, troubleshoot, and optimize vision systems for performance and efficiency. Update and retrain models to adapt to new data and changing conditions Qualifications Skills / Project Experience: Hands exp. In programming languages such as Python, C++ with GPU programming and parallel processing using CUDA or OpenCL Must Have: Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries Knowledge and experience working with Microsoft Office tools Good to Have: Problem-Solving : Strong analytical and troubleshooting skills to address client-specific challenges. Adaptability : Ability to quickly adapt to changing client requirements and emerging technologies. Project Leadership : Demonstrated leadership in managing client projects, ensuring timely delivery and client satisfaction. Business Acumen : Understanding of business processes and the ability to align technical solutions with client business goals. Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 3 - 7 years of experience working with Proven experience in developing and deploying computer vision solutions in industrial or manufacturing settings. Hands-on leadership or significant contributions in end-to-end project execution – from data acquisition and preprocessing to model deployment and integration with OT systems. Track record of working with cross-functional teams including data scientists, control engineers, and software developers. Experience fine-tuning state-of-the-art Vision Transformer models and demonstrating measurable impact over traditional CNN-based methods. Exposure to real-time systems, model optimization techniques, and deploying vision solutions on edge devices or embedded systems. Location: Bengaluru/ Hyderabad/ Gurugram The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services. Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com. #HC&IE Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 305603

Summary Position Summary The AI&E portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE – Machine Vision Developer Level: Consultant As Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines in an agile framework. Need-basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Responsibilities: The work you will do includes: Develop, test & deploy advanced Computer Vision algorithms for industrial apps, ensuring real-time processing & high accuracy Work with data scientists to preprocess and annotate datasets, and with software engineers to integrate vision solutions into OT systems Continuously monitor, troubleshoot, and optimize vision systems for performance and efficiency. Update and retrain models to adapt to new data and changing conditions Qualifications Skills / Project Experience: Hands exp. In programming languages such as Python, C++ with GPU programming and parallel processing using CUDA or OpenCL Must Have: Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries Knowledge and experience working with Microsoft Office tools Good to Have: Problem-Solving : Strong analytical and troubleshooting skills to address client-specific challenges. Adaptability : Ability to quickly adapt to changing client requirements and emerging technologies. Project Leadership : Demonstrated leadership in managing client projects, ensuring timely delivery and client satisfaction. Business Acumen : Understanding of business processes and the ability to align technical solutions with client business goals. Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 3 - 7 years of experience working with Proven experience in developing and deploying computer vision solutions in industrial or manufacturing settings. Hands-on leadership or significant contributions in end-to-end project execution – from data acquisition and preprocessing to model deployment and integration with OT systems. Track record of working with cross-functional teams including data scientists, control engineers, and software developers. Experience fine-tuning state-of-the-art Vision Transformer models and demonstrating measurable impact over traditional CNN-based methods. Exposure to real-time systems, model optimization techniques, and deploying vision solutions on edge devices or embedded systems. Location: Bengaluru/ Hyderabad/ Gurugram The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services. Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com. #HC&IE Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 305603

Job Title: Elasticsearch Engineer Employment Type: Full-time Work Setup: Remote Important Notice: If you apply, please regularly check your email over the next 48 to 72 hours, as we will update you via that medium. Job Description: Our client, EZ-AD is seeking an Elasticsearch Engineer to join its team! As a key player in the digital marketing and e-commerce industry, EZ-AD is renowned for its innovative software solutions that support business growth globally. This position offers an opportunity to design and optimize search strategies, enhance data integration, and collaborate on AI-driven improvements. Does this sound aligned with your profile? Responsibilities: Design and optimize Elasticsearch indexing for 1,500+ websites to ensure relevant search results. Enhance keyword relevance using advanced Elasticsearch queries and boosting techniques. Fine-tune analyzers, tokenizers, and filters for improved search precision and recall. Explore complementary technologies to address Elasticsearch limitations and boost performance. Develop PHP scripts for seamless integration with Elasticsearch APIs. Build PHP solutions to preprocess and enrich product data before indexing. Use AI APIs to generate synonyms and optimize product data metadata. Test AI-driven enhancements to improve search accuracy and user satisfaction. Collaborate with AI teams to integrate machine learning for dynamic query rewriting. Refine product data in SQL databases to align with Elasticsearch indexing. Develop scripts for data synchronization between SQL databases and Elasticsearch. Manage staging and test environments to evaluate search performance. Conduct A/B testing and analyze metrics to iteratively improve search results. Monitor Elasticsearch cluster health and scalability for high-volume traffic. Implement logging and analytics to track and improve search performance. Requirements: Hard Skills: In-depth knowledge of Elasticsearch core concepts, including indexing, mappings, analyzers, and query DSL. Proven experience with advanced query types (e.g., match, phrase, prefix, range, compound queries) and boosting strategies. Familiarity with Elasticsearch limitations and workarounds, such as handling high-cardinality data or optimizing for large-scale deployments. Strong proficiency in PHP for building and maintaining search-related scripts and integrations. Experience integrating AI APIs (e.g., OpenAI, Google NLP, or similar) for text processing, synonym generation, or keyword optimization. Proficiency with SQL databases for managing product data and ensuring data consistency. Experience with data modeling and optimization for search applications. Experience setting up staging and test environments for search experimentation. Nice to Have: Experience in e-commerce or retail search applications, particularly in hardware or B2B contexts. Knowledge of additional search technologies (e.g., Solr, OpenSearch) for comparative insights. Familiarity with front-end technologies (e.g., JavaScript, HTML, CSS) for testing search UI/UX. Understanding of SEO principles to align search results with organic traffic goals. Experience with cloud platforms (e.g., AWS, GCP, Azure) for managing Elasticsearch deployments. Soft Skills: Strong ability to diagnose and resolve search relevance issues using data-driven approaches. Comfortable working with large datasets and complex systems. Ability to work with cross-functional teams, including AI engineers, database administrators, and front-end developers. Clear documentation and reporting skills to communicate findings and recommendations. We look forward to receiving your application and connecting with you soon! Thank you very much!

Total exp - ( 12 to 15 yrs ) Roles & Responsibilities Design and develop innovative AI/ML solutions to address business challenges. Create and implement AI strategies and long-term roadmaps for AI adoption. Develop and deploy AI models, ensuring alignment with business needs. Collaborate with teams to translate business requirements into AI solutions. Stay updated on the latest AI/ML technologies and practices. Mentor junior AI developers and conduct code reviews. Work with data scientists and engineers to preprocess and prepare data. Select suitable AI/ML algorithms and deploy models in production. Ensure data privacy, security, scalability, and performance of AI applications. Requirements . Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or related field. Proficiency in programming languages like Python or Java. Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn). Expertise in data manipulation (Pandas, NumPy) and visualization (Matplotlib, Seaborn). Familiarity with cloud platforms (AWS, Azure, Google Cloud) and version control (Git). Knowledge of databases (SQL, NoSQL) and development tools (Jupyter Notebook, IDEs). Understanding of Agile methodologies (Scrum, Kanban). Nice to Have Proven experience in developing and deploying AI/ML solutions. Skills in NLP, computer vision, and deep learning. Proficiency in cloud tools like EC2, ASG, S3, RDS. Strong problem-solving, communication, and collaboration skills.

Join our Team About this opportunity: We are seeking a highly skilled and motivated AI Engineer to join our growing AI/ML team. The ideal candidate will be responsible for developing, deploying, and scaling machine learning and GenAI (LLM-based) solutions across business domains. You will work closely with data scientists, data engineers, and business stakeholders to turn innovative ideas into impactful solutions using state-of-the-art cloud technologies and MLOps practices. What you will do: Develop, Train, Test, and Deploy Machine Learning and GenAI-LLM models. Collect, Clean, and preprocess large-scale datasets for AI/ML training and evaluation. Collaborate with cross-functional teams to understand business needs and translate them into AI solutions. Design and implement scalable AI services and pipelines using Python and Cloud technologies (e.g., Azure, AWS).Continuously improve model performance through tuning, optimization, and retraining. Knowledge of MLOps practices to use IaC to deploy models into production and industrialising the business solution The skills you bring: Strong expertise in AWS services: Glue, SageMaker, Lambda, CloudWatch, S3, IAM, etc. Solid programming skills in Python and experience with PySpark for large-scale data processing. Experience with DevOps/MLOps tools such as Azure DevOps, GitHub Actions. Experience & Education: Bachelor’s or Master’s in Computer Science, Data Science, AI, or related field. 5–10 years of experience in ML/AI model development and deployment. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 769126

Job Title: Data Science Intern About the Role: We are looking for a motivated and detail-oriented Data Science Intern to join our dynamic team. This internship offers a unique opportunity to work on real-world data problems, gain hands-on experience with cutting-edge tools and technologies, and contribute to impactful projects. Key Responsibilities: Collect, clean, and preprocess large datasets from various sources. Perform exploratory data analysis to uncover insights and patterns. Build, test, and validate predictive models using statistical and machine learning techniques. Assist in developing data visualizations and dashboards to communicate findings. Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions. Document processes, methodologies, and results clearly. Requirements: Pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Basic understanding of Python, R, or similar programming languages. Familiarity with data analysis libraries (Pandas, NumPy) and visualization tools (Matplotlib, Seaborn, Power BI, or Tableau). Knowledge of machine learning concepts is a plus. Strong analytical, problem-solving, and communication skills. Ability to work independently and as part of a team. Preferred Qualifications: Experience with SQL or NoSQL databases. Exposure to cloud platforms like AWS, GCP, or Azure. Familiarity with version control (Git/GitHub). Job Type: Internship Contract length: 6 months Pay: ₹8,000.00 - ₹10,000.00 per month Schedule: Day shift Monday to Friday Morning shift Education: Bachelor's (Preferred) Experience: AI : 1 year (Required) ML : 1 year (Required) Work Location: In person

Kolkata,West Bengal,India +1 more Job ID 769126 Join our Team About this opportunity: We are seeking a highly skilled and motivated AI Engineer to join our growing AI/ML team. The ideal candidate will be responsible for developing, deploying, and scaling machine learning and GenAI (LLM-based) solutions across business domains. You will work closely with data scientists, data engineers, and business stakeholders to turn innovative ideas into impactful solutions using state-of-the-art cloud technologies and MLOps practices. What you will do: Develop, Train, Test, and Deploy Machine Learning and GenAI-LLM models. Collect, Clean, and preprocess large-scale datasets for AI/ML training and evaluation. Collaborate with cross-functional teams to understand business needs and translate them into AI solutions. Design and implement scalable AI services and pipelines using Python and Cloud technologies (e.g., Azure, AWS).Continuously improve model performance through tuning, optimization, and retraining. Knowledge of MLOps practices to use IaC to deploy models into production and industrialising the business solution The skills you bring: Strong expertise in AWS services: Glue, SageMaker, Lambda, CloudWatch, S3, IAM, etc. Solid programming skills in Python and experience with PySpark for large-scale data processing. Experience with DevOps/MLOps tools such as Azure DevOps, GitHub Actions. Experience & Education: Bachelor’s or Master’s in Computer Science, Data Science, AI, or related field. 5–10 years of experience in ML/AI model development and deployment. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

Job Location: Chennai, Bangalore, Noida, Hyderabad As a Gen AI Researcher, you will develop and optimize domain specific large language models (LLMs) and small language models (SLMs) to address unique domain specific challenges and deliver innovative solutions. Your role includes creating advanced SLMs and LLMs for specific domains, focusing on supervised fine tuning, reinforcement learning from human feedback (RLHF), pre and post training, evaluation, and multi-modalities. Key Responsibilities: Conduct cutting edge research in the field of NLP and develop advanced SLMs and LLMs tailored to domain specific applications. Design, implement, and optimize language models to solve domain specific problems effectively and efficiently. Analyze and preprocess large datasets to ensure high-quality input for training SLMs and LLMs. Design and Evaluate the performance of language models using appropriate metrics and benchmarks, and iterate on improvements. Developing and implementing methods that extend and improve model capabilities, reliability, and safety Work closely with cross functional teams, including domain experts, data engineers, and software engineers, to integrate language models into the production. Publish research findings in top tier conferences and journals, and communicate results to both technical and non technical stakeholders. Keep abreast of the latest advancements in the field of NLP, ML, and AI, and apply relevant techniques to ongoing projects. Qualifications: Ph.D. in Computer Science, Computational Linguistics , Data Science, Artificial Intelligence, or a related field with a focus on NLP or ML. Bachelor's or Master’s degree in Computer Science, Computer Engineering, relevant technical field. At least 1 year of experience in developing and optimizing SLMs and LLMs, focusing on foundation model training, supervised fine tuning, reinforcement learning from human feedback (RLHF). Solid understanding of various fine-tuning techniques like full fine tuning, PEFT techniques like LoRA, QLoRA and the strategy to adopt for various objectives Have solid ML and RL software engineering and scientific research skills Have produced novel research related to fine tuning SLMs / LLMs or improving upon pretrained SLMs / LLMs Proven experience in Gen AI libraries / frameworks, including but not limited to LangChain, LangGraph, LlamaIndex and LangSmith. At least 5 years of Research experience in one or more of these areas: NLP, speech, computer vision, Multimodal, machine learning, deep learning, or related fields. Proficiency in programming languages such as Python, and experience with NLP/ML frameworks like TensorFlow, PyTorch, and Hugging Face, as evidenced by released code (e.g. on GitHub) or elsewhere Familiarity with domain specific applications and the ability to translate domain knowledge into effective language models. Knowledge of Responsible AI practices and compliance with relevant laws is a plus. Industry experience with large-scale data processing, distributed computing, or cloud platforms. Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms is a plus. Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences. Ability to work collaboratively in a team environment and contribute to a positive and productive work culture.

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 26th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 26th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 26th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 26th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.