Quantitative Analyst (Forex) – Part-Time Consultant Location: Indore, MP, India (Onsite) | Engagement: Part-time, retainer + hourly, 3–6 months Tecnomi is seeking a seasoned Forex Quant Analyst to design, test, and validate systematic trading strategies while mentoring the project owner. This role focuses on market insight, strategy development, and risk management. You will: Develop & optimise quantitative FX trading strategies Build robust forecasting models and backtest strategies Design risk frameworks (VaR, drawdowns, exposure limits) Mentor the project manager with concise learning sessions & materials Collaborate with the project manager to integrate strategies Requirements: 3–5 yrs in quantitative research or systematic FX trading Deep understanding of FX market dynamics, macro drivers and risk modelling Strong analytical skills and ability to mentor non-experts Bachelor’s/Master’s in Finance, Economics, Math or related field Apply with a 1–2 page plan outlining strategy approach and mentorship hours. Job Type: Contractual / Temporary Contract length: 3 months Pay: ₹20,000.00 - ₹30,000.00 per month Work Location: In person
Role Overview Tecnomi is seeking skilled ML Engineers to join our innovative R&D team. You will contribute to building, deploying, and scaling machine learning solutions in a collaborative, agile environment, focusing on production-ready systems and infrastructure. Key Responsibilities Design, implement, and optimize machine learning models and pipelines using Python and relevant frameworks for robust, data-driven applications. Develop and maintain end-to-end ML workflows, including data ingestion, feature engineering, model training, evaluation, and inference. Collaborate with cross-functional teams to integrate ML models into production environments, ensuring scalability and reliability. Handle model deployment, monitoring, and optimization using tools like Docker, Kubernetes, and CI/CD pipelines. Uphold high standards of code quality through rigorous testing, documentation, version control, and best practices in software engineering. Required Skills and Qualifications 3-5 years of hands-on experience in ML engineering or related roles, with strong proficiency in Python for building scalable ML systems. Expertise in ML libraries and tools such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy, and frameworks for model serving (e.g., TensorFlow Serving or ONNX). Solid understanding of machine learning concepts, including supervised/unsupervised learning, time-series forecasting, neural networks, and model evaluation metrics. Experience with containerization (e.g., Docker), orchestration (e.g., Kubernetes), and cloud platforms (e.g., AWS SageMaker, Google Cloud AI, or Azure ML). Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Strong problem-solving skills, with experience in agile methodologies and cross-team collaboration. Preferred Skills Familiarity with natural language processing (NLP), reinforcement learning, or computer vision. Knowledge of MLOps practices and tools like MLflow, Kubeflow, or Airflow for model lifecycle management. Experience with real-time data processing, distributed systems, or low-latency ML inference. What We Offer Opportunity to work on cutting-edge ML projects with significant impact at Tecnomi (visit www.tecnomi.com for more about us). Collaborative team environment with access to advanced tools. Job Type: Full-time Pay: ₹35,000.00 - ₹50,000.00 per month Experience: ML: 2 years (Required) Location: Indore, Madhya Pradesh (Preferred) Work Location: In person
Role Overview Tecnomi is seeking skilled ML Engineers to join our innovative R&D team. You will contribute to building, deploying, and scaling machine learning solutions in a collaborative, agile environment, focusing on production-ready systems and infrastructure. Key Responsibilities Design, implement, and optimize machine learning models and pipelines using Python and relevant frameworks for robust, data-driven applications. Develop and maintain end-to-end ML workflows, including data ingestion, feature engineering, model training, evaluation, and inference. Collaborate with cross-functional teams to integrate ML models into production environments, ensuring scalability and reliability. Handle model deployment, monitoring, and optimization using tools like Docker, Kubernetes, and CI/CD pipelines. Uphold high standards of code quality through rigorous testing, documentation, version control, and best practices in software engineering. Required Skills and Qualifications 3-5 years of hands-on experience in ML engineering or related roles, with strong proficiency in Python for building scalable ML systems. Expertise in ML libraries and tools such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy, and frameworks for model serving (e.g., TensorFlow Serving or ONNX). Solid understanding of machine learning concepts, including supervised/unsupervised learning, time-series forecasting, neural networks, and model evaluation metrics. Experience with containerization (e.g., Docker), orchestration (e.g., Kubernetes), and cloud platforms (e.g., AWS SageMaker, Google Cloud AI, or Azure ML). Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Strong problem-solving skills, with experience in agile methodologies and cross-team collaboration. Preferred Skills Familiarity with natural language processing (NLP), reinforcement learning, or computer vision. Knowledge of MLOps practices and tools like MLflow, Kubeflow, or Airflow for model lifecycle management. Experience with real-time data processing, distributed systems, or low-latency ML inference. What We Offer Opportunity to work on cutting-edge ML projects with significant impact at Tecnomi (visit www.tecnomi.com for more about us). Collaborative team environment with access to advanced tools. Job Type: Full-time Pay: ₹35,000.00 - ₹50,000.00 per month Experience: ML: 2 years (Required) Location: Indore, Madhya Pradesh (Preferred) Work Location: In person