SolvusAI

We're Hiring: Data Engineering Intern Remote | Paid Internship Opportunity Duration: 3 Months Start Date: Immediate / As per availability Stipend: Competitive About SolvusAI SolvusAI is a fast-growing AI consulting and solutioning firm helping global enterprises unlock the full potential of Generative AI and Machine Learning. We partner with clients across industries to craft and implement high-impact AI strategies that solve real business problems and drive tangible value. We thrive on curiosity, ownership, and adaptability. Whether it’s rapid prototyping, cloud-native engineering, or cutting-edge LLM deployments — we move fast and build smart. Join us in shaping the future of enterprise AI. What You’ll Do – Role Overview As a Data Engineering Intern , you’ll be part of a dynamic team building scalable data infrastructure to power AI solutions. You’ll work hands-on with real datasets, contribute to robust cloud-native pipelines, and gain exposure to integrating AI/ML into data workflows. This is your chance to turn raw data into meaningful business intelligence. Key Responsibilities 🔹 Design and develop ETL pipelines for structured and unstructured data 🔹 Work with big data tools like Apache Spark for data transformation 🔹 Integrate datasets across cloud data warehouses (Snowflake, Redshift, BigQuery) and data lakes (S3, Azure Data Lake) 🔹 Write optimized SQL for data preparation and extraction 🔹 Use Python (Pandas, NumPy) for data wrangling and scripting 🔹 Containerize workflows using Docker 🔹 Interface with RESTful APIs and handle JSON-based data 🔹 Contribute to cloud-based environments (AWS, GCP, Azure) 🔹 Collaborate with cross-functional teams to understand business needs and craft data solutions 🔹 Support AI/ML driven data workflows and contribute to projects involving ML models (Preferred) What We’re Looking For Bachelor of Technology/Engineering in any discipline Strong knowledge of Python, SQL, and data structures Proactive, curious mindset with a problem-solving attitude Eagerness to learn and apply data engineering in business contexts Familiarity with AI/ML concepts and their applications in data pipelines (Preferred) What You’ll Gain - Hands-on experience solving real-world business problems - Exposure to modern data stacks and cloud platforms - Mentorship from seasoned AI engineers and consultants - A chance to see how technical solutions drive business outcomes How to Apply Ready to launch your career in data engineering with a forward-thinking AI team? Apply here on LinkedIn. Additionally, you could email your resume along with a short note on why you’re excited about this role to careers@solvusai.com Let’s build the future of AI & Data, together. Show more Show less

AI/ML Intern (Full Time - Paid Internship) Location: Remote Experience: 0-1 year Start Date: Immediate / As per availability Stipend: Competitive About SolvusAI: SolvusAI is a fast-growing AI consulting and solutioning firm helping global enterprises unlock the power of Generative AI and Machine Learning to solve real business problems. We work across industries to deliver high-impact AI strategies, advisory, and implementation solutions that create tangible value. At SolvusAI, we value curiosity, ownership, and adaptability. Whether it's through rapid prototyping, cloud-native architectures, or cutting-edge LLMs, we believe in moving fast and building smart. Join us, and be part of a collaborative, future-focused team that’s redefining what AI can do for the enterprise. Are you driven by curiosity and a passion for AI, Gen-AI, and data-driven innovation? Do you want to work at the forefront of AI development - building intelligent agents, optimizing scalable workflows, and applying cutting-edge models to real-world challenges? Key Responsibilities Design and implement scalable, maintainable, and robust AI/ML systems Build and fine-tune ML/DL models using core concepts like feature engineering, model evaluation, and architecture selection (e.g., CNNs, Transformers) to solve business problems Work on agentic workflows and intelligent orchestration of LLMs using tools like LangChain or Semantic Kernel Design and deploy RESTful APIs for AI services and intelligent pipelines Integrate and evaluate vector databases (e.g., FAISS, Chroma, Pinecone) with LLMs for RAG-based systems Validate and monitor AI models through rigorous testing (unit, integration, adversarial) ensuring generalization and fairness Identify and mitigate risks related to bias, drift, and hallucinations in generative models Deploy solutions to cloud environments (AWS, Azure, GCP) using CI/CD principles Collaborate closely with cross-functional teams to translate business needs into AI-first solutions Must-Have Skills & Qualifications Bachelor's degree in engineering/technology. Final year engineering students with relevant skillsets and bandwidth can also apply 0-1 year of industry experience in AI/ML development Strong programming skills in Python, with experience in FastAPI Good understanding of core ML/DL concepts: supervised/unsupervised learning, overfitting, regularization, CNNs, Transformers, etc. Experience with SQL and basic data engineering principles Familiarity with foundational Gen-AI concepts (e.g., embeddings, prompting, fine-tuning) and models (ChatGPT, LLaMA 2/3, Mistral, Claude, etc.) Exposure to frameworks like LangChain or LlamaIndex Understanding of agent-based workflows and AI task automation Analytical mindset and strong debugging/problem-solving skills Good communication and collaboration abilities in a remote work environment Preferred Skills Knowledge of RLHF, prompt engineering, few-shot learning Experience with data labelling, evaluation frameworks, and synthetic data generation Understanding of monitoring tools for model performance, latency, and observability Working knowledge of cloud deployments and containerization (Docker, basic Kubernetes is a plus) Why Join SolvusAI? Work at the cutting edge of applied AI and Gen-AI Collaborate with a high-energy, impact-driven team Flexible remote environment Ownership and visibility across projects from day one Opportunity to shape the future of intelligent automation How to Apply: Excited to kickstart your journey in AI and work on real-world problems? Send us your resume and a short note on why you're interested in this role to careers@solvusai.com after applying on LinkedIn.

We're Hiring: Business Development Manager (2-4 Years Experience) Location: Hybrid – Bangalore (Initial Remote) Type: Full-Time Role Are you excited about the future of AI and passionate about opening new growth avenues? Join our fast-paced, high-impact team as a Business Development Manager and help shape how businesses adopt cutting-edge AI solutions. What You'll Do: Identify, reach, and engage with potential enterprise clients and strategic partners Build and nurture a strong pipeline of qualified leads through outbound and inbound efforts Collaborate with technical and leadership teams to develop tailored solution pitches Drive discovery meetings, solution walkthroughs, and early-stage client conversations What We're Looking For: 2-4 years of experience in business development in the technology sector (AI/ML or SaaS preferred) Bachelor's degree in any discipline Excellent communication, storytelling, and relationship-building skills Ability to understand technical concepts and translate them into business value Self-starter mindset with a hunger to create impact and grow fast Willingness to relocate to Bangalore (initially remote but relocation is mandatory ) Perks: Competitive pay + performance-based incentives Health insurance coverage Opportunity to work with a passionate founding team solving real-world problems with AI Rapid learning and growth in a startup Think you’re a fit? Send your CV to careers@solvusai.com with subject: “BDM Application - [Your Name]” Be part of SolvusAI's mission to reshape industries with AI. Apply now and help us lead the next wave of global AI innovation! Tag someone who’d be a great fit or apply now and be part of something meaningful. #Innovation #Businessdevelopment #AI #Bangalorejobs #Sales #Growthroles #Techstartup

Job Description - Jr. Data Scientist Experience: 0-1 year | Employment Type: Full-time Overview We are looking for a motivated Data Scientist with foundational data science expertise. This position is ideal for recent graduates or early-career professionals eager to work with real-world data, applying both standard and advanced preprocessing and modeling techniques in a collaborative environment. PLEASE NOTE: Mandatory: Email your CV to careers@solvusai.com with the subject line: “Job ID 202507-DS01: ” This is a full-time role with a hybrid work model Students currently pursuing a degree should not apply A strong foundation and clear understanding of data science concepts is essential Key Responsibilities 1. Data Ingestion & Preparation Extract and manipulate data using SQL and Python (pandas) Import and clean both structured & unstructured datasets 2. Data Preprocessing & Feature Engineering Handle missing values, outliers, and duplicates using statistical and ML techniques Apply noise reduction, data integration, and transformation (e.g., scaling, encoding) Perform dimensionality reduction (e.g., PCA) and ensure quality through data validation 3. Model Building & Evaluation Develop machine learning models (e.g., Linear Regression, Random Forest, XGBoost, ARIMA, LSTM) for varied problem types Tune hyperparameters using cross-validation and assess models using standard metrics (accuracy, RMSE, F1-score, etc.) 4. Visualization & Insight Generation Build dashboards and visualizations using tools like Matplotlib, Seaborn, Plotly, or Tableau Conduct statistical analysis to derive actionable business insights and present findings clearly 5. Team Collaboration Work closely with cross-functional teams (data engineers, analysts, business units) to align deliverables with organizational goals Participate in agile discussions and contribute to iterative development Required Skills Bachelors or Masters in Data Science, Computer Science, Statistics, or related field Proficiency in Python or R Strong SQL skills for data extraction/manipulation from relational databases Experience handling CSV/Excel data ingestion; advanced data cleaning techniques Understanding and implementation of various machine learning models (e.g., Linear Regression, Decision Tree, Random Forest, XGBoost, ARIMA, LSTM, SVM, K-Means) and their practical applications Ability to evaluate model performance using appropriate metrics: accuracy, precision, recall, F1-score, RMSE, MAE, ROC-AUC, etc Experience with feature scaling and categorical variable encoding Data visualization using Matplotlib, Seaborn, Plotly, or Tableau Analytical thinking, problem-solving, teamwork, and clear communication Ready to make an impact by transforming data into meaningful insights? Apply now!

You are a Jr. Data Scientist with 0-1 year of experience, seeking a Full-time employment opportunity. Your role involves working with real-world data, applying standard and advanced preprocessing and modeling techniques in a collaborative environment. You should have a strong foundation and clear understanding of data science concepts. Your key responsibilities include: 1. Data Ingestion & Preparation: Extract and manipulate data using SQL and Python (pandas), import and clean both structured & unstructured datasets. 2. Data Preprocessing & Feature Engineering: Handle missing values, outliers, and duplicates using statistical and ML techniques, apply noise reduction, data integration, and transformation, perform dimensionality reduction, and ensure data validation. 3. Model Building & Evaluation: Develop machine learning models for varied problem types, tune hyperparameters using cross-validation and assess models using standard metrics. 4. Visualization & Insight Generation: Build dashboards and visualizations using tools like Matplotlib, Seaborn, Plotly, or Tableau, conduct statistical analysis to derive actionable business insights. 5. Team Collaboration: Work closely with cross-functional teams to align deliverables with organizational goals, participate in agile discussions and contribute to iterative development. You are required to have: - Bachelors or Masters in Data Science, Computer Science, Statistics, or related field - Proficiency in Python or R, strong SQL skills, and experience handling CSV/Excel data - Understanding and implementation of various machine learning models and their practical applications - Ability to evaluate model performance using appropriate metrics - Experience with data visualization tools and analytical thinking, problem-solving, teamwork, and clear communication skills. If you are ready to make an impact by transforming data into meaningful insights, apply now by emailing your CV to careers@solvusai.com with the subject line: Job ID 202507-DS01.,