About TuringEdge TuringEdge is an AI and product engineering studio transforming how intelligence is built, deployed, and scaled in the real world. We design autonomous, goal-driven systems that can understand context, make decisions, and act — not just analyze data. Our work spans agentic AI architectures , digital twins , and AI-powered automation that enable organizations to move from insights to autonomous execution. Our team blends deep expertise in machine learning, knowledge systems, and multi-agent orchestration to help enterprises modernize products, optimize operations, and build the intelligent foundations of the future. At our core, we believe AI should go beyond answers — it should take initiative . That belief drives every platform, product, and partnership we build. Role Overview We are seeking a Data Scientist with strong foundations in Machine Learning and exposure to. MLOps practices to join our fast-growing AI engineering team. You’ll collaborate with product engineers, AI architects, and domain experts to turn data into dynamic intelligence — enabling real-world decision automation at scale. This is a long-term, high-impact role for someone who enjoys blending research with engineering to create scalable, production-ready AI systems. Key Responsibilities Develop, validate, and optimize machine learning models across varied business domains. Perform data cleaning, feature engineering, and exploratory analysis to improve model interpretability. Collaborate with backend and platform teams to deploy and maintain models in production environments. Build reproducible training and evaluation pipelines following MLOps best practices . Contribute to data-centric initiatives for enterprise digital transformation and modernization. Participate in architectural discussions for AI-first product designs and agentic workflows. Communicate findings and insights clearly to both technical and non-technical stakeholders. Required Skills Strong experience in Python , Pandas , NumPy , Scikit-learn , and PyTorch or TensorFlow . Deep understanding of statistical modeling , feature engineering , and ML evaluation techniques . Familiarity with MLOps frameworks (MLflow, DVC, Docker, CI/CD pipelines, Git). Proficiency in SQL and working with structured/unstructured data. Exposure to cloud platforms such as Azure , AWS , or Google Cloud (Databricks experience is a plus). Strong problem-solving mindset and data intuition. Excellent written and verbal communication skills. Preferred / Nice-to-Have Experience with LLMs , retrieval-augmented generation (RAG) , or agent-based AI workflows . Knowledge of digital twins , simulation-based modeling, or reinforcement learning concepts. Exposure to data engineering tools (Kafka, Airflow, Snowflake, or Delta Lakes). Familiarity with LangChain , LlamaIndex , or vector databases (Pinecone, Weaviate, Redis). Who You Are A problem-solver who enjoys bridging theory and application. Someone who thrives in dynamic, research-driven environments. Passionate about building intelligent systems that create measurable value. Constantly exploring new frameworks and technologies that push AI beyond automation. Why Join TuringEdge Work on end-to-end AI product development — from data pipelines to intelligent orchestration. Collaborate with leaders driving enterprise AI modernization and digital-twin strategy. Access cutting-edge infrastructure: Azure OpenAI, Databricks, LangGraph, LangChain, and more. A culture built on autonomy, innovation, and measurable outcomes. Competitive compensation and long-term growth opportunities across multiple AI verticals. Engagement Details Type: Full-time (Dedicated Resource) Location: Remote / Hybrid (India) Experience: 0–3 years Compensation: Competitive and commensurate with experience How to Apply If this sounds like the next step in your AI journey, we’d love to hear from you. Send your resume, portfolio, or GitHub profile to contactus@turingedge.ai with the subject line: 📩 “Application – Data Scientist (AI/ML/MLOps)” You can also DM us on LinkedIn — we respond quickly to strong profiles.
We’re Hiring: Business Development & Sales Strategy Intern Remote | Part-Time / Full-Time | 3–6 Months | Immediate Joining TuringEdge Technologies is looking for a motivated Business Development & Sales Strategy Intern to support client acquisition and build partnerships for outsourcing, tech staffing, and AI-driven development services across global markets. This role is directly tied to bringing new clients and generating revenue opportunities . About TuringEdge Technologies TuringEdge is a Tech Outsourcing & AI Engineering company providing: Senior engineering talent deployment (Contract / T&M / Remote / Onsite) AI, ML, Data, DevOps, Full-Stack, Mobile & Cloud engineering teams Project-based delivery pods for end-to-end product development Generative AI & Agentic AI system development We work with clients across India, UAE, US, UK & Africa and are expanding rapidly — this intern role will help drive client acquisition and business partnerships . Key Responsibilities • Identify potential clients hiring tech talent or outsourcing development • Lead research & build prospect lists • Conduct outreach via LinkedIn, email & messaging • Maintain lead pipelines & CRM • Draft proposals, capability responses & follow-ups • Assist founders in closing deals & partnership conversations Ideal Candidate • Excellent communication & interpersonal skills • Passion for sales, business development, networking • Strong research & follow-up discipline • Basic understanding of tech or willingness to learn • Self-driven, target-oriented, proactive What You’ll Gain • Real B2B sales & client acquisition experience • Work directly with founders & leadership • Full-time opportunity based on performance • Exposure to international markets • Revenue— and performance-based incentives Internship Details • Remote • 3–6 months • Immediate joining • Stipend + incentives (performance-based) How to Apply Apply directly on this job posting & send your CV.