Join Tecnomi's Innovation Team in Indore as an AI/ML Python Developer! In this full-time, onsite role, you will be involved in cutting-edge machine learning projects that require expertise in TensorFlow, PyTorch, and more. Your responsibilities will include designing and implementing machine learning models, developing data processing pipelines, performing feature engineering, and deploying ML models in production environments. Collaboration with cross-functional teams in an agile setting is a key aspect of this position. The ideal candidate will have 3-5 years of Python development experience and a strong background in ML libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy. Experience with time-series analysis, neural networks, cloud platforms (preferably AWS), and containerization is also required. A Bachelor's or Master's degree in Computer Science, Data Science, or a related field is preferred. Additionally, knowledge in NLP, reinforcement learning, and MLOps (including MLflow and model versioning) is considered a plus. If you are passionate about AI/ML development and eager to contribute to innovative R&D initiatives involving real-time data processing and advanced AI model development, we encourage you to apply for this exciting opportunity at Tecnomi.,
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.
Location: Indore, MP, India (Onsite only - Work from office) Experience Level: 3-5 years Number of Positions: 2 Employment Type: Full-time Role Overview: Tecnomi is seeking two skilled AI/ML Python Developers to join our innovative R&D team. You will contribute to developing advanced machine learning solutions in a collaborative, agile environment. Key Responsibilities: Design, develop, and optimize machine learning models using Python frameworks for data-driven applications. Build and maintain data processing pipelines, including feature engineering, model training, and evaluation. Collaborate with cross-functional teams to integrate ML components into production systems. Perform hyperparameter tuning, model deployment, and monitoring using tools like Docker and CI/CD pipelines. Ensure high code quality through comprehensive testing, documentation, and version control practices. Required Skills and Qualifications: 3-5 years of hands-on experience in Python development, with a focus on AI/ML applications. Proficiency in ML libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy. Strong knowledge of machine learning techniques, including supervised/unsupervised learning, time-series analysis, and neural networks. Experience with containerization (e.g., Docker) and cloud services (e.g., AWS SageMaker). Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Excellent problem-solving abilities and experience working in agile teams. Preferred Skills: Familiarity with natural language processing (NLP) or reinforcement learning. Knowledge of MLOps tools like MLflow for model management.
Job Title: Quantitative Analyst (Forex) Location: Indore, MP, India (Onsite only - Work from office) Experience Level: 3–5 years Employment Type: Full-time Role Overview Tecnomi is seeking a talented Quantitative Analyst to join our team full-time and play a key role in building, validating, and optimising systematic forex trading strategies. You will work closely with the project owner and development team to develop actionable models, implement risk frameworks, and contribute to data-driven insights. This full-time position offers the opportunity to drive innovative solutions in a collaborative environment, with a focus on long-term project impact. Key Responsibilities Strategy Development: Design, test, and optimise quantitative trading strategies using price data, volatility measures, sentiment indicators, and macroeconomic variables. Modelling & Backtesting: Build robust forecasting models (e.g., time-series, LSTM/Transformer hybrids) and perform rigorous backtesting to ensure reliability. Risk Frameworks: Develop and integrate risk-control tools (e.g., Value-at-Risk, drawdown limits, exposure thresholds) while aligning with compliance best practices. Data Integration: Aggregate and analyse multi-source data (news feeds, order-book snapshots, economic calendars) for model inputs and enhancements. Mentorship: Provide ongoing guidance and knowledge-sharing sessions to educate non-technical team members, including the project owner, on forex fundamentals and quantitative concepts. Collaboration & Documentation: Work with development teams to integrate model outputs into systems; maintain clear, comprehensive documentation of assumptions, processes, and results. Required Qualifications 3–5 years of experience in quantitative research, preferably in forex or systematic trading. Hands-on experience with backtesting platforms and statistical validation techniques. Strong understanding of FX market dynamics, macro drivers, and risk modelling. Excellent communication and teaching skills to mentor non-experts effectively. Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Statistics, or a related field. Verifiable 3-year portfolio showcasing prior models, backtests, or strategy reports. Preferred Skills Experience across multiple forex instruments or asset classes. Proficiency in Python or R (e.g., pandas, NumPy, statsmodels, scikit-learn). Familiarity with regulatory frameworks (e.g., RBI/FEMA). Exposure to tools like QuantConnect, MLflow, or similar platforms.
Job Title: Quantitative Analyst (Forex) Location: Indore, MP, India (Onsite only - Work from office) Experience Level: 3–5 years Employment Type: Full-time Role Overview Tecnomi is seeking a talented Quantitative Analyst to join our team full-time and play a key role in building, validating, and optimising systematic forex trading strategies. You will work closely with the project owner and development team to develop actionable models, implement risk frameworks, and contribute to data-driven insights. This full-time position offers the opportunity to drive innovative solutions in a collaborative environment, with a focus on long-term project impact. Key Responsibilities Strategy Development: Design, test, and optimise quantitative trading strategies using price data, volatility measures, sentiment indicators, and macroeconomic variables. Modelling & Backtesting: Build robust forecasting models (e.g., time-series, LSTM/Transformer hybrids) and perform rigorous backtesting to ensure reliability. Risk Frameworks: Develop and integrate risk-control tools (e.g., Value-at-Risk, drawdown limits, exposure thresholds) while aligning with compliance best practices. Data Integration: Aggregate and analyse multi-source data (news feeds, order-book snapshots, economic calendars) for model inputs and enhancements. Mentorship: Provide ongoing guidance and knowledge-sharing sessions to educate non-technical team members, including the project owner, on forex fundamentals and quantitative concepts. Collaboration & Documentation: Work with development teams to integrate model outputs into systems; maintain clear, comprehensive documentation of assumptions, processes, and results. Required Qualifications 3–5 years of experience in quantitative research, preferably in forex or systematic trading. Hands-on experience with backtesting platforms and statistical validation techniques. Strong understanding of FX market dynamics, macro drivers, and risk modelling. Excellent communication and teaching skills to mentor non-experts effectively. Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Statistics, or a related field. Verifiable 3-year portfolio showcasing prior models, backtests, or strategy reports. Preferred Skills Experience across multiple forex instruments or asset classes. Proficiency in Python or R (e.g., pandas, NumPy, statsmodels, scikit-learn). Familiarity with regulatory frameworks (e.g., RBI/FEMA). Exposure to tools like QuantConnect, MLflow, or similar platforms.
Job Title: Quantitative Analyst (Forex) Location: Indore, MP, India (Onsite only - Work from office) Experience Level: 2–5 years Employment Type: Full-time Role Overview Tecnomi is seeking a talented Quantitative Analyst to join our team full-time and play a key role in building, validating, and optimizing systematic forex trading strategies. You will work closely with the project owner and development team to develop actionable models, implement risk frameworks, and contribute to data-driven insights. This full-time position offers the opportunity to drive innovative solutions in a collaborative environment, with a focus on long-term project impact. Key Responsibilities Strategy Development: Design, test, and optimize quantitative trading strategies using price data, volatility measures, sentiment indicators, and macroeconomic variables. Modeling & Backtesting: Build robust forecasting models (e.g., time-series, LSTM/Transformer hybrids) and perform rigorous backtesting to ensure reliability. Risk Frameworks: Develop and integrate risk-control tools (e.g., Value-at-Risk, drawdown limits, exposure thresholds) while aligning with compliance best practices. Data Integration: Aggregate and analyze multi-source data (news feeds, order-book snapshots, economic calendars) for model inputs and enhancements. Mentorship: Provide ongoing guidance and knowledge-sharing sessions to educate non-technical team members, including the project owner, on forex fundamentals and quantitative concepts. Collaboration & Documentation: Work with development teams to integrate model outputs into systems; maintain clear, comprehensive documentation of assumptions, processes, and results. Required Qualifications 3–5 years of experience in quantitative research, preferably in forex or systematic trading. Hands-on experience with backtesting platforms and statistical validation techniques. Strong understanding of FX market dynamics, macro drivers, and risk modeling. Excellent communication and teaching skills to mentor non-experts effectively. Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Statistics, or a related field. Verifiable 2-year portfolio showcasing prior models, backtests, or strategy reports. Preferred Skills Experience across multiple forex instruments or asset classes. Proficiency in Python or R (e.g., pandas, NumPy, statsmodels, scikit-learn). Familiarity with regulatory frameworks (e.g., RBI/FEMA). Exposure to tools like QuantConnect, MLflow, or similar platforms.
Job Title: Quantitative Trader (Forex) Location: Indore, MP, India (Onsite only - Work from office) Experience Level: 3–5 years Employment Type: Full-time Role Overview Tecnomi, an innovative IT firm, is hiring a skilled Quantitative Trader to drive profitable, systematic forex strategies. You'll collaborate with the CTO, project owner, and dev team to develop, deploy, and refine live trading models that deliver real-world results. This onsite role offers hands-on involvement in cutting-edge AI integrations, risk management, and data-driven decision-making in a fast-paced, collaborative environment focused on long-term innovation and platform growth. Key Responsibilities Strategy Development & Execution: Design, test, and deploy quantitative trading strategies leveraging price data, volatility, sentiment indicators, and macroeconomic factors for live forex markets. Modeling & Backtesting: Create reliable forecasting models (e.g., time-series, LSTM/Transformer hybrids) with thorough backtesting, forward-testing, and optimization for profitability and robustness. Risk Management: Build and integrate risk controls (e.g., Value-at-Risk, drawdown limits, position sizing) to ensure compliance and minimize losses in volatile conditions. Data Integration: Source, clean, and analyze diverse data feeds (e.g., news APIs, order books, economic calendars) to enhance model inputs and trading signals. Mentorship & Knowledge Sharing: Mentor non-technical team members (including the project owner) on forex basics, quantitative trading concepts, and strategy insights through regular sessions. Collaboration & Documentation: Partner with developers to embed models into production systems; maintain detailed documentation of strategies, assumptions, and performance metrics for transparency and iteration. Required Qualifications 3–5 years of hands-on experience in quantitative trading or systematic strategy development, ideally in forex or similar markets. Proven track record with backtesting tools, statistical validation, and live strategy deployment. Deep knowledge of FX market dynamics, macroeconomic influences, and risk modeling. Strong communication and teaching abilities to guide non-experts effectively. Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Statistics, or a related field. Verifiable 3-year portfolio of past strategies, backtests, performance reports, or live trading results. Preferred Skills Experience trading multiple forex pairs or cross-asset strategies. Proficiency in Python or R (e.g., pandas, NumPy, statsmodels, scikit-learn) for rapid prototyping. Familiarity with Indian regulatory frameworks (e.g., RBI/FEMA). Exposure to platforms like QuantConnect, TradingView, or MLflow for strategy automation.
Job Title: ML Engineer Company: Tecnomi Location: Indore, MP, India (Onsite only - Work from office) Experience Level: 2-5 years Employment Type: Full-time 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 2-5 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.
Are you an aspiring developer passionate about React.js and ready to turn designs into dynamic, responsive web experiences? Tecnomi is hiring a Frontend Developer Intern to join our innovative team in Indore and contribute to cutting-edge projects. This paid internship is your chance to gain practical skills, work with modern tools, and build a standout portfolio in a supportive environment! Position: Frontend Developer Intern Location: Indore (M.P.) Duration: 3 months (with potential for extension based on performance) Type: Full-time (flexible hours) Stipend: Competitive paid internship (details shared during application process) About Tecnomi Tecnomi is a forward-thinking tech company based in Indore, specializing in innovative digital solutions that enhance user engagement and drive business growth. We're dedicated to fostering talent through hands-on mentorship and collaborative projects. Job Description You will be working as a Frontend Developer Intern with a focus on React.js. Your main responsibilities will include developing responsive UI components, integrating APIs, converting Figma/wireframes into pixel-perfect frontends, optimizing UI performance, and writing clean, maintainable code using modern JavaScript (ES6+). You will also be expected to use Git for version control and collaboration, work with Tailwind CSS or Bootstrap for styling, and participate in daily stand-ups and sprint reviews. Eligibility and Requirements To be eligible for this internship, you should be pursuing or have recently completed a degree in Computer Science or IT such as B.Tech, BCA, or MCA. You should have a basic understanding of React.js, JavaScript, HTML5, and CSS3, along with experience in building frontend projects or personal portfolios. Familiarity with tools like Git, GitHub, and Figma, good problem-solving skills, and an eagerness to learn are also required. An understanding of responsive design principles is a plus. Key Skills React JavaScript HTML5 CSS3 Tailwind Bootstrap Git GitHub Redux TypeScript What We Offer Hands-on experience with real-world projects and expert mentorship. Opportunity for full-time role transition based on performance. Internship certificate and letter of recommendation.
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.
Location: Indore, Madhya Pradesh (Onsite only; relocation required if not local) Experience: 2-4 years Company: Tecnomi About Tecnomi: Tecnomi is a dynamic tech company based in Indore, specializing in AI/ML development and web infrastructure solutions. We're seeking a talented Full Stack Developer to join our team and contribute to innovative projects in a collaborative environment. Key Responsibilities Develop and maintain scalable web applications using modern frontend and backend technologies. Design and implement responsive user interfaces with frameworks like React.js and Next.js. Build robust backend services using Node.js, Express, or similar, integrated with databases such as MongoDB or PostgreSQL. Collaborate with cross-functional teams including AI/ML engineers and quantitative analysts to integrate features for data analysis tools and web platforms. Optimize application performance, ensure security best practices, and troubleshoot issues in production environments. Participate in code reviews, agile development processes, and continuous integration/deployment pipelines. Manage server infrastructure using tools like Nginx, PM2, and cloud services (e.g., AWS or Hostinger VPS). Requirements 2-4 years of professional experience as a Full Stack Developer. Proficiency in JavaScript/TypeScript, HTML5, CSS3, and frontend frameworks (React.js, Next.js preferred). Strong backend skills with Node.js, Express, and experience with RESTful APIs or GraphQL. Familiarity with databases (SQL/NoSQL), version control (Git/GitHub), and deployment tools. Experience with server management, API integration, and performance optimization. Willingness to relocate to Indore for full-time onsite work. Bachelor's degree in Computer Science, Engineering, or related field. Excellent problem-solving skills, attention to detail, and ability to work in a fast-paced startup environment. Preferred Skills Knowledge of AI/ML integration. Experience with Cloudflare, AWS, or other cloud platforms. Familiarity with agile methodologies and technical recruitment processes. What We Offer: Competitive salary, opportunities for growth in AI and fintech, and a supportive team environment in Indore. If you're passionate about technology and ready to relocate, apply now!